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Purpose: With the aid of libraries, the research paper aims to assist businesses in swiftly and accurately acquiring knowledge and insights from scholarly literature to guide their inventive and decision-making processes. The foundation for achieving the goal is Connected Papers technology. Design/methodology/approach: The author's professional expertise in performing literature reviews using connected papers technology as well as using other ways, and corresponding with entrepreneurs and librarians impacted the article's research methodology. Findings: The use of Connected Papers technology in the library context for helping entrepreneurs is discussed. Libraries and entrepreneurs could benefit from using Connected Papers technology to quickly compile pertinent data from scholarly literature to solve business challenges. According to the paper, adopting this technology can speed up information gathering and drastically reduce the time needed for business owners to search through bibliographic data-bases. Using this technology can help entrepreneurs at various phases of their entrepreneurial journeys and give libraries a productive way to assist business owners with their information needs. Originality/value: This paper's novelty comes from its examination of the usage of connectedpapers.com technology to compile data from scholarly literature to assist entrepreneurs in solving their business problems. The useful piece of advice this paper offers entrepreneurs and librarians is what makes it valuable. By using connectedpapers.com technology, businesses may be able to get critical information from scholarly literature to foster a series of experimentation quickly and effectively. Also, librarians can help their patrons with systematic re-views and other research services by using this application. [ABSTRACT FROM AUTHOR]

Purpose -- Conference publications are an important aspect of research activities. There are generally both oral presentations and poster sessions at large international conferences. One can hypothesise that, for the same conferences, the papers presented in oral sessions should have a higher research impact than the papers presented in poster sessions. However, there has been no related study examining the validity of this hypothesis. In other words, the difference of research impact between papers presented orally or during poster sessions has not been discussed in literature. Therefore, the purpose of this paper is to conduct a citation analysis to compare the research impact of papers presented in oral and poster sessions. Design/methodology/approach -- In this paper, data from three leading conferences in the field of computer vision are examined, namely CVPR (2011 and 2012), ICCV (2011) and ECCV (2012). Several types of citation-related statistics are collected, including the number of highly cited papers (i.e. high number of citations) presented in oral and poster sessions, the total citations of both types of papers, the average citations of oral and poster papers, and the average citations of each frequently cited paper of both types. Findings -- There are three main findings. First, a larger proportion of highly cited papers are from oral sessions than poster sessions. Second, the average number of citations per paper is larger for those presented in oral sessions than poster sessions. Third, the average number of citations for highly cited papers presented in oral sessions is not necessarily greater than for the ones presented in poster sessions. Originality/value -- The originality of this paper is that it is the first attempt to examine the differences of citation impacts of conference papers presented in oral and poster sessions. The findings of this study will allow future bibliometrics research to further explore this related issue for longer periods and different fields. [ABSTRACT FROM AUTHOR]

Purpose – The purpose of this paper is to focus on examining the research impact of papers written with and without funding. Specifically, the citation analysis method is used to compare the general and funded papers published in two leading international conferences, which are ACM SIGIR and ACM SIGKDD. Design/methodology/approach – The authors investigate the number of general and funded papers to see whether the number of funded papers is larger than the number of general papers. In addition, the total citations and the number of highly cited papers with and without funding are also compared. Findings – The analysis results of ACM SIGIR papers show that in most cases the number of funded papers is larger than the number of general papers. Moreover, the total captions, the average number of citations per paper, and the number of highly cited papers all reveal the superiority of funded papers over general papers. However, the findings are somewhat different for the ACM SIGKDD papers. This may be because ACM SIGIR began much earlier than ACM SIGKDD, which relates to the maturity of the research problems addressed in these two conferences. Originality/value – The value of this paper is the first attempt at examining the research impact of general and funded research papers by the citation analysis method. The research impact of other research areas can be further investigated by other analysis methods. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this article is to theoretically outline and empirically test two contribution-based indicators: (1) the scholars' annual contribution-based measurement and (2) the annual contribution modified h-index, computing six criteria: total number of papers, computed SCImago Journal Rank values, total number of authors, total number of citations of a scholar's work, number of years since paper publication and number of annual paper citations. Design/methodology/approach: Despite widespread scholarly agreement about the relevance of research production in evaluation and recruitment processes, the proposed mechanisms for gauging publication output are still rather elementary, consequently obscuring each individual scholar's contributions. This study utilised the Technique for Order of Preference by Similarity to Ideal Solution method, and the authors built two indicators to value author's contribution. Findings: To test both indicators, this study focussed on the most productive scholars in communication during a specific time period (2017–2020), ranking their annual research contribution and testing it against standard productivity measures (i.e. number of papers and h-index). Originality/value: This article contributes to current scientometric studies by addressing some of the limitations of aggregate-level measurements of research production, providing a much-needed understanding of scholarly productivity based on scholars' actual contribution to research. [ABSTRACT FROM AUTHOR]

Purpose: Coronavirus disease 2019-related fake news consistently appears on social media. This study uses appraisal theory to analyze the impact of such rumors on individuals' emotions, motivations, and intentions to share fake news. Furthermore, the concept of psychological distance and construal level theory are used in combination with appraisal theory to compare toilet paper shortages and celebrity scandal rumors. Design/methodology/approach: Data collected from 299 Taiwanese respondents to 150 toilet paper shortage-related and 149 celebrity gossip-related questionnaires were processed using partial least squares regression and multigroup analysis. Findings: In both cases, surprise is felt most intensely. However, unlike in the celebrity fake news scenario, worry plays a prominent role in driving the altruistic sharing motivation related to the toilet paper shortage rumor. Furthermore, while emotional attributes (basic or self-conscious, concrete, or abstract) serve as a guide for how emotions change with psychological distance, the degree to which an emotion is relevant to the fake news context is key to its manifestation. Originality/value: This study examines the impact of individuals' emotions on their motivations and intention to share fake news, applying the appraisal theory and the psychological distance concept in a single study to fake news sharing intention. It evaluates the relationship between psychological distance and emotions, revealing that it is not absolute and need not necessarily shift according to psychological distance change; rather, the relationship is context-sensitive. [ABSTRACT FROM AUTHOR]

Purpose: Fake news in cyberspace has greatly interfered with national governance, economic development and cultural communication, which has greatly increased the demand for fake news detection and intervention. At present, the recognition methods based on news content all lose part of the information to varying degrees. This paper proposes a lightweight content-based detection method to achieve early identification of false information with low computation costs. Design/methodology/approach: The authors' research proposes a lightweight fake news detection framework for English text, including a new textual feature extraction method, specifically mapping English text and symbols to 0–255 using American Standard Code for Information Interchange (ASCII) codes, treating the completed sequence of numbers as the values of picture pixel points and using a computer vision model to detect them. The authors also compare the authors' framework with traditional word2vec, Glove, bidirectional encoder representations from transformers (BERT) and other methods. Findings: The authors conduct experiments on the lightweight neural networks Ghostnet and Shufflenet, and the experimental results show that the authors' proposed framework outperforms the baseline in accuracy on both lightweight networks. Originality/value: The authors' method does not rely on additional information from text data and can efficiently perform the fake news detection task with less computational resource consumption. In addition, the feature extraction method of this framework is relatively new and enlightening for text content-based classification detection, which can detect fake news in time at the early stage of fake news propagation. [ABSTRACT FROM AUTHOR]

Purpose: By distorting the peer review process, predatory journals lure researchers and collect article processing charges (APCs) to earn income, thereby threatening clinical decisions. This study aims to identifying the characteristics of predatory publishing in the dermatology literature. Design/methodology/approach: The authors used Kscien's list to detect dermatology-related predatory journals. Bibliometric parameters were analyzed at the level of journals, publishers, documents and authors. Findings: Sixty-one potential predatory dermatology publishers published 4,164 articles in 57 journals from 2000 to 2020, with most publishers claiming to be located in the United States. Most journals were 1–5 years old. Six journals were indexed in PubMed, two in Scopus and 43 in Google Scholar (GS). The average APC was 1,049 USD. Skin, patient, cutaneous, psoriasis, dermatitis and acne were the most frequently used keywords in the article's title. A total of 1,146 articles in GS received 4,725 citations. More than half of the journals had <10 citations. Also, 318 articles in Web of Science were contaminated by the most cited articles and 4.49% of the articles had reported their funding source. The average number of authors per article was 3.7. India, the United States and Japan had the most articles from 119 involved countries. Asia, Europe and North America had the most contributed authors; 5.2% of articles were written through international collaboration. A majority of authors were from high- and low-middle-income countries. Women contributed 43.57% and 39.66% as the first and corresponding authors, respectively. Research limitations/implications: The study had limitations, including heavy reliance on Kscien's list, potential for human error in manual data extraction and nonseparation of types of articles. Journals that only published dermatology articles were reviewed, so those occasionally publishing dermatology articles were missed. Predatory journals covering multiple subjects (Petrisor, 2016) may have resulted in overlooking some dermatology papers. This study did not claim to have covered all articles in predatory dermatology journals (PDJs) but evaluated many of them. The authors accept the claim that Kscien's list may have made a mistake in including journals. Originality/value: The wide dispersion of authors involved in PDJs highlights the need to increase awareness among these authors. [ABSTRACT FROM AUTHOR]

Purpose – Informally computer scientists reported they could access free copies of research papers they needed via tools such as Google Scholar. To ascertain whether this perception came from widespread free access or from unnoticed employer-paid access, the purpose of this paper was to locate computer science papers and determine what proportion was freely available using Google Scholar. Design/methodology/approach – A sample of 1,967 conference papers and periodical papers from 2003 to 2010, indexed in the ACM Guide to Computing Literature, was searched for manually in Google Scholar, using the paper or article title and the first author's surname and supplementary searches as needed. Findings – Free full-text versions were found for 52 per cent of the conference papers and 55 per cent of the periodical papers. Documents with older publication dates were more likely to be freely accessible than newer documents, with free versions found for 71 per cent of items published in 2003 and 43 per cent of items published in 2010. Research limitations/implications – Results were limited to the retrieval of known computer science publications via Google Scholar. Future research could examine whether the decline found in this study is specific to Google Scholar or reflects a decrease in the free sharing of research by computer scientists. Originality/value – Previous research for computer science found lower levels of free access than this research determined, but the decline found in this study runs contrary to increases that have been found. This research confirms many computer science papers are available for free but also that subscription holdings are necessary for complete coverage of papers in the field. [ABSTRACT FROM AUTHOR]

Purpose: This study employs bibliometric analysis to map the research landscape of social media trending topics during the COVID-19 pandemic. The authors aim to offer a comprehensive review of the predominant research organisations and countries, key themes and favoured research methodologies pertinent to this subject. Design/methodology/approach: The authors extracted data on social media trending topics from the Web of Science Core Collection database, spanning from 2009 to 2022. A total of 1,504 publications were subjected to bibliometric analysis, utilising the VOSviewer tool. The study analytical process encompassed co-occurrence, co-authorship, citation analysis, field mapping, bibliographic coupling and co-citation analysis. Findings: Interest in social media research, particularly on trending topics during the COVID-19 pandemic, remains high despite signs of the pandemic stabilising globally. The study predominantly addresses misinformation and public health communication, with notable focus on interactions between governments and the public. Recent studies have concentrated on analysing Twitter user data through text mining, sentiment analysis and topic modelling. The authors also identify key leading organisations, countries and journals that are central to this research area. Originality/value: Diverging from the narrow focus of previous literature reviews on social media, which are often confined to particular fields or sectors, this study offers a broad view of social media's role, emphasising trending topics. The authors demonstrate a significant link between social media trends and public events, such as the COVID-19 pandemic. The paper discusses research priorities that emerged during the pandemic and outlines potential methodologies for future studies, advocating for a greater emphasis on qualitative approaches. Peer review: The peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2023-0194. [ABSTRACT FROM AUTHOR]

Purpose: Aiming to explore how audience consume and produce media events in the digital, distributed and social era we live in, the paper analyzes the viewing patterns of video news items during a media event (the week of Donald Trump's presidential visit to Israel, the first to a country outside the US), compared to a parallel comparable "ordinary" period (two weeks later, in which no inordinacy events occurred). The comparison focused on simultaneous activities of audiences engaged with the event, with either related (i.e. second screening) or unrelated (i.e. media multitasking). Design/methodology/approach: The research is a diary study based on a dedicated mobile app in which respondents reported their news-related behavior during two periods: a media event period and comparable "ordinary" period. Findings: Participants reported watching significantly more news video items in the first day of the media event week compared to the first day of the "ordinary" week. More than half of the viewing reports of the media event were not on TV. In the media event week, there were significantly higher percentages of viewing reports on smartphones/computers and significantly higher percentages of second-screening reports. Originality/value: This is the first study that empirically explores the viewing patterns of video news items during a media event, compared to an "ordinary" period, focusing on media second screening of audiences engaged with the event. This comparison may reveal whether (1) media events still retain their centrality in a multi-screen era and (2) the role of the internet and online social media in the experience of media events. [ABSTRACT FROM AUTHOR]

Purpose: During COVID-19 restrictions, people spent more time in cyberspace and consuming health-related information. An increase was also observed in mediated caring messages or health-relevant information sent to one another. This study aims to explore how the information and interactions around COVID-19 can provide a good learning opportunity for public health, specifically related to eHealth literacy and eHealth promotion. Design/methodology/approach: While mainstream literature has concentrated on experimental designs and a priming effect, this study inspects psychological distance related to a health threat under real-life circumstances. The article adopted a survey approach and utilized PLS-SEM techniques to examine the proposed hypotheses. Findings: Results indicated that whereas closer social support correlates with closer psychological distance and less usage of the social media approach, more substantial COVID-19 impacts were associated with closer psychological distance but greater use of social media. Since both closer psychological distance and social media approach contribute to eHealth literacy, social support from closer and virtual social networks should be embraced but utilized through different routes and for different purposes. The timing of messages but not psychological distance affects people's social media approach, indicating that morning messages should be employed. Moreover, eHealth literacy mediates timing preferences and leads to a preference for eHealth communication earlier in the day. Overall, morning messages create a virtuous circle during a health crisis. Originality/value: This paper establishes a mechanism of virtuous cycles for eHealth communication during a health threat. Additionally, it bridges existing research gaps by expanding chronopsychology and CLT in the health domain using an empirical approach, a real-life case and an extension of performance regarding information-seeking and utilization. [ABSTRACT FROM AUTHOR]

Purpose: The insidious proliferation of online misinformation represents a significant societal problem. With a wealth of research dedicated to the topic, it is still unclear what determines fake news sharing. This paper comparatively examines fake and accurate news sharing in a novel experimental setting that manipulates news about terrorism. Design/methodology/approach: The authors follow an extended version of the uses-and-gratification framework for news sharing, complemented by variables commonly employed in fake news rebuttal studies. Findings: Logistic regression and classification trees revealed worry about the topic, media literacy, information-seeking and conservatism as significant predictors of willingness to share news online. No significant association was found for general analytical thinking, journalism skepticism, conspiracy ideation, uses-and-gratification motives or pass-time coping strategies. Practical implications: The current results broaden and expand the literature examining beliefs in and sharing of misinformation, highlighting the role of media literacy in protecting the public against the spread of fake news. Originality/value: This is, to the authors' knowledge, the first study to integrate a breadth of theoretically and empirically driven predictors of fake news sharing within a single experimental framework. Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-12-2022-0693 [ABSTRACT FROM AUTHOR]

Purpose: While much research has examined the effect of media literacy in combatting misinformation, whether and to what extent news media literacy influences misinformation-related behaviors (i.e. misinformation sharing, misinformation correction) and the mediating effect of news media skepticism in the process remain less explored. Moreover, this line of research has extensively focused on a polarized information context (e.g. the USA) with less attention to a context where news information is more regulated and centralized. This paper aims to discuss the aforementioned objective. Design/methodology/approach: The authors conducted a survey study of 720 Chinese adults. Findings: This study reveals that greater new media literacy predicts higher misinformation correction behaviors, but fails to predict caution in sharing misinformation. Findings further demonstrate a nuanced mediating effect of news media skepticism that challenges previous assertions about its protective role. That is, higher news media literacy is associated with lower news media skepticism; lower skepticism is in turn related to lower misinformation sharing and greater misinformation correction. Originality/value: The current study integrates news media literacy and news media skepticism in understanding misinformation-related behaviors. Findings generally speak to the tangible benefits of news media literacy in helping motivate corrective actions among the general public. However, this study also strikes a cautious note that future investigations of news media skepticism would benefit from a cultural perspective. Its connections with perceptions and effects on behaviors could vary according to different types of media and political landscapes. Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2023-0172 [ABSTRACT FROM AUTHOR]

Purpose: Cyberbullying is a globally pervasive problem and not novel in academia. Previous studies mainly focussed on the features, consequences and technological management of cyberbullying. However, most of the studies took cyberbullying examples in the West, and some issues still need to be addressed in the Chinese context. Thus, this study investigates how participants use cyberbullying words and why they use them in that particular way in China. Design/methodology/approach: This study uses content analysis to summarise the typical features of cyberbullying words, revealing a positive relationship between cyberbullying words and sentimental expressions. This paper also uses the questionnaire (N = 705) to explore the prevalence of cyberbullying among Chinese Internet users and to compare the gender differences in the cognition of cyberbullying words and involvement in cyberbullying, in line with the social cognitive theory. Findings: This study stated that people prefer repetitively using offensive words to achieve cyberbullying goals. Interestingly, this study does not find obvious gender differences in cyberbullying roles and cyberbullying language use. However, it explained the relationship between cognition and the use of cyberbullying words from a gender perspective. Practical implications: Theoretically, this study expands cyberbullying studies into a new cultural environment, pointing to a novel term, "imbalanced relation," for exploring cyberbullying behaviours. This study highlights the significance of technology and education in detecting and preventing cyberbullying, suggesting that educators and social media platforms can directly predict and prevent cyberbullying through textual perspectives and individuals' cognition of cyberbullying. Originality/value: This study aims to examine cyberbullying linguistic and emotional features and individual differences in cyberbullying behaviour in a high-context culture like China. Its values include comparing the differences between cyberbullying in China and cyberbullying in the West from the linguistic and cultural directions and reconsidering the "power imbalance" feature of cyberbullying. [ABSTRACT FROM AUTHOR]

Purpose: This paper constitutes the first academic study to be made of Google Discover as applied to online journalism. Design/methodology/approach: This paper constitutes the first academic study to be made of Google Discover as applied to online journalism. The study involved conducting 61 semi-structured interviews with experts that are representative of a range of different professional profiles within the fields of journalism and search engine positioning (SEO) in Brazil, Spain and Greece. Based on the data collected, the authors created five semantic categories and compared the experts' perceptions in order to detect common response patterns. Findings: This study results confirm the existence of different degrees of convergence and divergence in the opinions expressed in these three countries regarding the main dimensions of Google Discover, including specific strategies using the feed, its impact on web traffic, its impact on both quality and sensationalist content and on the degree of responsibility shown by the digital media in its use. The authors are also able to propose a set of best practices that journalists and digital media in-house web visibility teams should take into account to increase their probability of appearing in Google Discover. To this end, the authors consider strategies in the following areas of application: topics, different aspects of publication, elements of user experience, strategic analysis and diffusion and marketing. Originality/value: Although research exists on the application of SEO to different areas, there have not, to date, been any studies examining Google Discover. Peer review: The peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-10-2022-0574 [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to understand the factors that enable and inhibit WhatsApp users' discontinuance intention (DI) following the change in WhatsApp's privacy policy. Design/methodology/approach: Using the enabler-inhibitor model as a framework, a research model consisting of discontinuation enabler distrust (DT) and the DT's antecedents [(negative electronic word of mouth (NEWOM), negative offline word of mouth (NOWOM) and privacy invasion (PI)], discontinuation inhibitor inertia (INR) and INR's antecedents (affective commitment, switching cost and use habit) and moderator structural assurance was proposed and tested with data from 624 WhatsApp users using partial least square structure equational modeling (PLS-SEM). Findings: The results show that DT created due to NEWOM and a sense of PI significantly impact DI. However, INR has no significant impact on DI. Structural assurance significantly moderates the relationship between DT and DI. Originality/value: The paper collected data when many WhatsApp users switched to other platforms due to the change in WhatsApp's terms of service. The timing of data collection allowed for collecting the real impact of the sense of PI compared to other studies where the effect is hypothetically induced. Further, the authors acknowledge social media providers' efforts to address privacy criticism and regain users' trust, an area that has received little attention in prior literature. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this research is to inspect the perceptions of MBA students regarding learning through podcasts. The author's goals are to reveal the students' attitudes toward the use of podcasts as a key learning tool in a graduate academic course, to examine the learning efficacy in this mode of learning, to inspect students' opinions regarding flexibility in learning with podcasts and to examine whether there is a different reference to podcasts as a mid-term assignment vs podcasts as a substitute for lectures. Design/methodology/approach: This paper examines the learning attitudes and effectiveness of postgraduate students in business administration toward combining podcasts as an e-Learning tool. This paper also explores the flexibility of this kind of asynchronous learning. Two types of podcasts for two different pedagogical purposes were examined in the study, one as a team mid-term assignment and second as recorded lectures. The main results of this study provide significant evidence that previous experience in listening to podcasts on the Internet has a significant impact on learning effectiveness, student attitudes and learning satisfaction while using this technology. In fact, this study establishes that students that are technologically oriented and have prior experience listening to podcasts learn more in the course, have positive attitudes toward podcast technology as a learning tool, have high learning effectiveness and are satisfied with the flexibility of the asynchronous learning process. Findings: The findings state that both in the mid-term assignment and in the course lessons as students listened to podcasts more frequently and gained experience listening to podcasts on the Internet, the students expressed more positive views toward learning using this technology, the students' learning effectiveness was higher and the students were more satisfied with the flexibility made possible by using this asynchronous technology tool of e-Learning. Moreover, the results of the study clearly indicate a positive correlation between listening to the podcast lessons in the course and the effectiveness of learning both in the mid-term assignment and in classes. Research limitations/implications: This study has some limitations. First, the findings are limited by the relatively small sample, with graduate students in an MBA program, in a course from the field of technological entrepreneurship. Furthermore, in this study, the students had partial freedom to choose the podcast for the students' mid-term assignment from a specific well-known program in the field of entrepreneurship and were not free to choose podcasts from any site available on the Internet. Although this process guided the students to use podcasts from a quality podcast program, the process also reduced the students' choice to some extent. Practical implications: Academic institutions must provide the appropriate technological infrastructure for the development, creation and recording of quality podcasts by lecturers for students, in addition to training lecturers to teach through podcasts as an integral part of e-Learning advanced tools. Furthermore, institutions must financially incentivize and educationally encourage lecturers to teach at least some of the content in the course using pre-prepared podcasts. Social implications: The author's first suggestion to lecturers that wish to use podcasts as learning resources is to familiarize themselves with the technology and resources available to introduce students to the basics of podcasting and to make the students aware of the podcast's benefits. Second, the study highly recommends to integrate podcasts into the teaching curriculum in academia as early as possible in the basic courses, before the students move on to advanced courses in undergraduate studies. In this way, students in advanced courses can make better use of this technology. Originality/value: As far as the author knows, this is the first study that combined two types of podcasts used for two complementary pedagogical purposes in an academic course: the first, open and available online podcasts as part of a mid-term assignment and the second type of podcasts that are recorded audio lessons as a complete replacement for course lectures. Additionally, the study sharpens the understanding that students' previous experience with technology is of great importance to learning effectiveness, as well as positive opinions and high learning satisfaction. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to review the critical challenges and factors influencing the successful adoption of electronic learning (e-learning) systems in higher educational institutions before and during the current propagation of the coronavirus disease 2019 (COVID-19) pandemic. Design/methodology/approach: This study undertook a literature review concerning the in-depth revision of previous studies published in 2020 and 2021. A total of 100 out of 170 selected research papers were adopted to identify and recognise the factors restricting the application of e-learning systems. Findings: The findings determine and illuminate the most challenging factors that impact the successful application of online learning, particularly during the wide propagation of the COVID-19 pandemic. The review of the literature provides evidence that technological, organisational and behavioural issues constitute significant drivers that frontier the facilitation of the e-learning process in higher educational institutions. Practical implications: The current paper suggests a guide for managers and scholars in educational institutions and acts as a roadmap for practitioners and academics in the educational field and policymakers as this research spotlights the significant factors challenging the e-learning process before and during the pandemic crisis. Originality/value: The provided in-depth literature review in this research will support the researchers and system designers with a comprehensive review and recent studies conducted before and during the COVID-19 pandemic considering the factors limiting the e-learning process. This paper formulates a valuable contribution to the body of knowledge that will assist the stakeholders in the higher educational institutions' context. Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-02-2022-0085. [ABSTRACT FROM AUTHOR]

Purpose: This study aimed to investigate how the enrichment of medical documents' index terms by their comments improves the relevance and novelty of the top-ranked results retrieved by an NLP system. Design/methodology/approach: A semi-experimental pre-test and post-test research was designed to compare NLP-based indexes before and after being expanded by the comment terms. The experiments were conducted on a test collection of 13,957 documents commented by F1000-Prime reviewers. They were indexed at title, abstract, body and full-text levels. In total, 100 seed documents were randomly selected and served as queries. The textual similarity of the documents and queries was calculated using Lucene-more-like-this function and evaluated by the semantic similarity of their MeSH. The results novelty was measured using maximal marginal relevance and evaluated by their MeSH novelties. Normalized discounted cumulative gain was used to compare the basic and expanded indexes' precisions at 10, 20 and 50 top ranks. Findings: The relevance and novelty of the results ranked at the top precision points was improved after expanding the indexes by the comment terms. The finding implies that meta-texts are effective in representing their mother documents, by adding dynamic elements to their rather static contents. It also provides further evidence about the merits of the application of social intelligence and collective wisdom reflected in the actions and reactions of users in tackling the challenges faced by NLP-based systems. Originality/value: This is the first study to confirm that social comments on scientific papers improve the performance of information systems in terms of relevance and novelty. Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2022-0283. [ABSTRACT FROM AUTHOR]

Purpose: This paper analyzes the existing body of work on the relationship between depression and social media use in the information system field, including the impact of social media use on depression, the effect of depression on social media use and the association and interaction between depression and social media use. Design/methodology/approach: Using the systematic review method, this study selected the Web of Science, Emerald, Science Direct, JSTOR, Wiley Online Library and Taylor and Francis Online as search databases and ended up with 29 papers that met all the authors' requirements. Findings: This study identified five possible reasons for the inconsistencies between the findings of the selected studies. First, uses and gratifications theory has different influence mechanisms in evaluating the relationship between social media use and depression. Second, gender can moderate the impact of social media use on depression. Third, age moderates the association between social media use and depression. Fourth, for adolescents, the time spent on social media has a critical effect on their depression. Fifth, negative personality traits (e.g. rumination, envy, etc.) can play a significant role in mediating the relationship between passive social media use and depression. Originality/value: This study conducted an evaluation of the relationship between depression and social media use. First, the authors summarized the research framework and main body of work covering the relationship between depression and social media use. Second, the authors proposed possible explanations for the inconsistencies between the findings. Third, the authors discussed and explained the possible influence mechanisms of the existing results. Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2021-0211. [ABSTRACT FROM AUTHOR]

Purpose: An integrative model that predicts users' stickiness to WeChat is built. In the proposed model, perceived value plays a dual mediating role in the causal pathway from users' immersive experiences of presence and flow to their engagement and stickiness. Furthermore, presence is treated as a bi-dimensional construct made up of spatial feelings and the sense of being in company, and users' engagement is conceived as cognitive, affective and behavioural contributions to WeChat's marketing functions. Design/methodology/approach: The authors develop a measurement instrument and analyse data from a survey of 917 WeChat users. They use a hybrid partial least squares-structural equation modelling (PLS-SEM) and neural network approach to confirm the reliability and validity of the measurement items and all the relationships between the constructs. Findings: The paper provides robust evidence about the mediating influences of both utilitarian and hedonic value on users' engagement with the immersive experiences of presence and flow. An additional finding highlights the role of social norms in engagement and stickiness. Originality/value: Rather than studying the effects of the immersive experiences of presence and flow from either a hedonic or a utilitarian perspective, the authors consider how immersive experiences shape both utilitarian and hedonic value, as well as their joint impact (along with that of social norms) on users' engagement and stickiness. [ABSTRACT FROM AUTHOR]

Purpose: Motivating users to self-disclose online is significant to the long-term development of social media. Therefore, research on emotional disclosure, a significant form of self-disclosure, is required. By developing a stimulus-organism-response model, this study aims to investigate the mechanisms by which the social media environment affects users' online emotional disclosure. Design/methodology/approach: This paper proposes two dimensions of social media environments, the online interpersonal environment (tie strength and network size) and the online information environment (self-reference). They are hypothesized to stimulate users' internal psychological needs (image management and emotional expression) which in turn will influence their emotional disclosure intentions. Using data from 489 users of WeChat Moments, the authors conduct partial least squares analysis to validate the research model. Findings: The findings show that users' intrinsic psychological needs are stimulated by social media environments, but network size is not correlated with the need for emotional expression. The user's need for emotional expression promotes both positive and negative emotional disclosure intentions. The need for image management has a positive impact on positive emotion disclosure intentions but has a negative impact on negative emotion disclosure intentions. Originality/value: This study contributes to the understanding of online emotional disclosure. It can also help social media managers create efficient plans to encourage users to create content. Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2022-0245. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to improve the understanding of the factors influencing the success of digital transformation (DT) and problems/challenges in DT as well as the communication methods used to involve citizens, based on a systematic literature review of research articles about citizen involvement in DT published between January 2010 and May 2021. Design/methodology/approach: After establishing inclusion and exclusion criteria, a systematic review of relevant studies was conducted. Out of a total of 547 articles, 33 met the paper selection criteria. Findings: The analysis of the included 33 empirical studies reveals that the factors influencing the success of DT can be described as the opposite side from challenges and problems in DT. These factors and challenges/problems all influence DT and they can be grouped into organisational values, management capabilities, organisational infrastructure, and workforce capabilities. The communication methods for citizen involvement in DT include: (1) communication mediated by human, (2) communication mediated by computers, and (3) mixed communication methods. Originality/value: The study identified specific factors that influence DT supported by citizen involvement, at a more fine-grained level. The findings concerning communication methods extend related studies for citizen involvement by adding town hall meetings and communication methods mediated by computers. Furthermore, this study links the research findings to develop a framework for citizen involvement in DT, assisting in better selecting communication methods to involve citizens for addressing problem areas in DT. Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2022-0237 [ABSTRACT FROM AUTHOR]

Purpose: The paper aims to explore and examine the factors that influence the post-consumption behavioral intentions of education consumers with the help of online reviews from a Massive Open Online Course (MOOC) platform in the knowledge payment context. Design/methodology/approach: The paper adopted a novel mixed-method approach based on natural language processing (NLP) techniques. Variables were identified using topic modeling drawing upon 14,585 online reviews from a global commercial MOOC platform (Udemy.com). The relationships among identified factors, such as perceived quality dimensions, consumption emotions, and intention to recommend, were then tested from a cognition-affect-behavior (CAB) perspective using partial least squares structural equation modeling (PLS-SEM). Findings: Results indicate that course content quality, instructor quality, and platform quality are strong predictors of consumers' emotions and intention to recommend. Interestingly, course content quality displays a positive effect on invoking negative emotions in the MOOC context. Additionally, positive emotions mediate the relationships between three perceived qualities and the intention to recommend. Originality/value: Limited research has been conducted regarding MOOC consumers' post-consumption intentions in the knowledge payment context. Findings of this study address the limited literature on MOOC qualities and consumer post-consumption behaviors, which contribute to a comprehensive understanding of MOOC learners' experiences at a meso-level for future paid-MOOC creators. Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-09-2021-0482/ [ABSTRACT FROM AUTHOR]

Purpose: With the growing trend of omni-channel marketing, brands are increasingly looking to offer a seamless experience to their online fan base by connecting with them across multiple social media platforms. This paper explores the relationship between brand posts' characteristics and popularity for start-ups across four different social media platforms: Facebook, Twitter, Instagram and LinkedIn. Design/methodology/approach: A total of 1,200 social media posts from 10 start-ups were subjected to content analysis. Regression analysis was employed with brand posts' popularity (likes, comments and shares/retweets) as the dependent variable. Findings: The results reveal several nuances in brand post popularity for start-ups across Facebook, Twitter, Instagram and LinkedIn. Antecedents of the popularity measures of likes, comments and shares/retweets also fared differently. Originality/value: The paper reports one of the earliest empirical studies to better understand how the qualities of brand posts are related to their appeal across multiple social media platforms. It advances the literature on social media marketing and offers insights to social media managers of brands, particularly start-ups, on how to offer smoother customer journeys across numerous digital touchpoints. [ABSTRACT FROM AUTHOR]

Purpose: This study aimed to develop a taxonomy of research areas in open government data (OGD) through a bibliometric mapping tool and a qualitative analysis software. Design/methodology/approach: In this study, the authors extracted metadata of 442 documents from a bibliographic database. The authors used a bibliometric mapping tool for familiarization with the literature. After that, the authors used qualitative analysis software to develop taxonomy. Findings: This paper developed taxonomy of OGD with three research areas: implementation and management, architecture, users and utilization. These research areas are further analyzed into seven topics and twenty-eight subtopics. The present study extends Charalabidis et al. (2016) taxonomy by adding two research topics, namely the adoption factors and barriers of OGD implementations and OGD ecosystems. Also, the authors include artificial intelligence in the taxonomy as an emerging research interest in the literature. The authors suggest four directions for future research: indigenous knowledge in open data, open data at local governments, development of OGD-specific theories and user studies in certain research themes. Practical implications: Early career researchers and doctoral students can use the taxonomy to familiarize themselves with the literature. Also, established researchers can use the proposed taxonomy to inform future research. Taxonomy-building procedures in this study are applicable to other fields. Originality/value: This study developed a novel taxonomy of research areas in OGD. Taxonomy building is significant because there is insufficient taxonomy of research areas in this discipline. Also, conceptual knowledge through taxonomy creation is a basis for theorizing and theory-building for future studies. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to identify the factors affecting university students' behavioral intentions towards adopting the new Facebook currency while controlling for the direct and the moderating impacts of narcissism. Design/methodology/approach: A self-administered questionnaire of 344 respondents from six major Palestinian universities was analyzed. The structural model is fitted for assessing the hypothesized relations. Findings: Findings indicate that the effect of Facebook advertisement in predicting the behavioral intentions to adopt the new Facebook currency relies on: privacy, security, the expectations in the new Facebook currency and knowledge about the targeting options within the Facebook platform. Moreover, the moderating role of narcissism supported the relationships between perceived privacy, the expectations in the new Facebook currency and knowledge about the targeting options within the Facebook platform but did not support the moderating role of narcissism in the relationships between perceived security and the behavioral intentions. Research limitations/implications: In this study, only the Facebook platform and the behavioral intention were investigated with data collected from Palestinian University students through self-reported cross-sectional survey. Practical implications: This study adds insight on the moderating role of narcissism in predicting the behavior intentions towards adopting the new Facebook currency (Diem) which has a substantial potential to threaten all other crypto currencies and the other alternatives. Therefore, managers should consider altering or adapting their Facebook advertising tactics accordingly. Originality/value: This study is the first to contribute through empirical evidence from a developing country to theory building the results of clarifying the propensity to adopt the new Facebook currency, outlining the consumers' reaction to social media advertising and its influential factors and providing evidence proving relevance of narcissism for non-Western users. Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-12-2021-0666 [ABSTRACT FROM AUTHOR]

Purpose: This article attempts to highlight the defining role that community media engagements play during times of the pandemic. It is argued that the outbreak of COVID-19 pandemic forced community news media houses to reinvent their news reporting practices to cover issues pertaining to the marginalized and underprivileged sections of the society. It explores the role of community media in engaging and empowering the citizens during the COVID-19 pandemic. Design/methodology/approach: Central to our study is the analysis of the news model of "Video Volunteers" (henceforth VV), an independent community-based online news platform based in India. To understand the level of citizen participation and engagement in the making and dissemination of news during the pandemic, the authors conducted 13 interviews with different stakeholders of VV, including founders and news audiences. Findings: It seeks to reveal that when the mainstream media have failed to represent the issues of a local community, it is the independent media platforms like VV which function as a veritable source of information and sharing of knowledge. Most importantly, this paper emphasizes that the communicative model of independent community-based online platforms has been most successful in the coverage of the pandemic and the level of engagement with the citizenry. Originality/value: The study contributes to the aspects of reciprocity and collaborative journalism in community news media and its potential impacts on news creation and dissemination. [ABSTRACT FROM AUTHOR]

Purpose: The paper aims to explore, using an analysis of the three components of memes content, form and stance – whether and how the memes offer a broad picture of a specific society during the COVID-19 pandemic crisis. Design/methodology/approach: The author collected, from the two largest Facebook groups in Israel, 25 memes with the largest number of likes in each month, beginning from the month in which awareness of COVID-19 increased significantly, between March 2020 and February 2019. A total of 597 memes were collected. The data were analyzed by a quantitative and qualitative analysis. Findings: Findings indicate that meme culture effectively reflects a society's situation and the challenges it faces. Memes also reflect local cultural icons and effects. Meme contents vary across groups. During a crisis, memes do not function as fertile groups for sharp criticism or calls to take action to resolve society's social ills. Practical implications: Memes may serve as a tool to understand and explore an unfamiliar, foreign culture, its state of mind and its history through meme culture. Social implications: Memes may constitute a platform for relieving stress through light-hearted humor, unaccompanied by a true call to action; that is, "slacktivism" which gives a sense of active participation without involvement in actual activities for change. Originality/value: The study reveals that the Israeli meme culture is not activist and rather focuses on humor to relieve stress. Memes may be used as "bread and circuses" or a means of "slacktivism" that fails to call to genuine activism. Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-07-2022-0381 [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to determine the relationship between the access mode of research articles [Open Access (OA) and Toll-Access (TA)] and their subsequent citation counts in Biological and Physical Sciences in three Impact factor zones (High, Medium and Low). Design/methodology/approach: Three subjects each from Biological Sciences (Biochemistry, Cell Biology and Genetics) and Physical Sciences (Astronomy, Oceanography and Optics) were selected for the study. A comprehensive list of journals (TA and OA) in select subjects of Biological and Physical Sciences was prepared by consulting Journal Citation Report's Master Journal List (for the compilation of both Open Access and Toll Access journal list) and Directory of Open Access Journals (for the compilation of Open Access journal list). For each journal, essential details like content language, format, year of publication, access mode (Open Access or Toll Access), etc. were obtained from Ulrich's Periodical Directory. Web of Science (WoS) was used as citations indexing tool in this study. The data set was run on the WoS to collect the citation data. Findings: The results of the study indicate that open mode of access is not a prerequisite for higher citation boost as in the majority of the cases in this study, TA articles have garnered a greater number of citations as compared to open access articles in different Impact factor zones in Biological and Physical Sciences. Originality/value: A novel approach has been adopted to understand and compare the research impact of open access (OA) and toll access (TA) journal articles in the field of Biological and Physical Sciences at three Impact factor zone levels to reveal the citation metrics encompassing three parameters, i.e. citedness, average citation count and year wise distribution of citations in select subjects of Biological and Physical Sciences. Peer review: The peer review history for this article is available at: https://publons.com/publon/[DOI]/10.1108/OIR-01-2021-0029 [ABSTRACT FROM AUTHOR]

Purpose: The study aims to examine the validity of the gender affinity effect on social media throughout election campaigns. Design/methodology/approach: This paper examines the role of gender in political discourse, using citizens' conversations on Facebook in the days leading up to Israel's 2021 elections as its case study. The analysis measured the engagement generated by male and female politicians in citizens' publicly open Facebook discussions (N = 1875) using a trend-tracking software. The analysis uses t-tests to examine differences in engagement between conversations about male versus female politicians and between posts written by male versus female authors. In addition, a two-way ANOVA analysis was conducted in an attempt to understand the shared impact of both the politicians' gender and posts authors' gender on the posts' engagement. Findings: The study reveals that although more posts discuss male politicians, posts dealing with female politicians expressed significantly more support towards those politicians. The analysis also highlights that women tend to write more supportive posts and that most of their posts deal with female politicians. Furthermore, interaction effect analysis revealed that women's posts about female politicians generate more engagement in terms of likes, comments and number of participants than posts written by women that deal with male politicians. Practical implications: The findings should encourage women politicians to run their campaigns via social media. Originality/value: The study presents the first social media analysis for gender affinity effect and highlights the importance of the effect in online political communication studies. Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2022-0199 [ABSTRACT FROM AUTHOR]

Purpose: This study aims to profile the government microbloggers and evaluate their roles. The results can help improve the governments' response capability to public emergencies. Design/methodology/approach: This study proposes the user profiling and role evaluation model of government microbloggers in the context of public emergencies. The indicators are designed from the four dimensions of time, content, scale and influence, and the feature labels are identified. Three different public emergencies were investigated, including the West Africa Ebola outbreak, the Middle East respiratory syndrome outbreak and the Shandong vaccine case in China. Findings: The results found that most government microbloggers were follower responders, short-term participants, originators, occasional participants and low influencers. The role distribution of government microbloggers was highly concentrated. However, in terms of individual profiles, the role of a government microblogger varied with events. Social implications: The findings can provide a reference for the performance assessment of the government microbloggers in the context of public emergencies and help them improve their ability to communicate with the public and respond to public emergencies. Originality/value: By analyzing the performance of government microbloggers from the four dimensions of time, content, scale and influence, this paper fills the gap in existing literature on designing the user profiling and role evaluation model of government microbloggers in the context of public emergencies. [ABSTRACT FROM AUTHOR]

Purpose: This paper contributes to the literature by proposing an analysis of digital inequalities in Russia that focuses on two aspects hitherto under explored: the interregionality (by comparing and contrasting eight federal districts) and the multidimensionality of digital inequalities (by taking into account the three levels of digital divide). Therefore, the aim is to address the phenomenon of digital divide in Russia by discussing the three levels of the digital divide (access / skills / benefits) in a comparative and interregional perspective. Design/methodology/approach: This paper uses secondary data for its analysis, including both national (e.g. the total number of daily Internet users in Russia) and more regionalized data (related to particular federal districts of Russia). The choice of data sources was determined by an attempt to provide a detailed and multifaceted coverage of all three levels of the digital divide in Russia, which is not limited to the access problem only. For this purpose, we are using and re-elaborating various reports about the development of the Internet and ICTs in Russia prepared by national and international organizations to cover the first level of the digital divide. To shed light upon the second and third levels of the digital divide, we discuss digital literacy report (2018), the report on Internet openness index of Russian regions (2017) and the report on the digital life index of the Russian regions (2016). Finally, in the attempt to map out the key directions of the state policy aimed at decreasing digital inequality in Russia, on both federal and regional levels, we analyze the most important regional and national policy measures to foster digitalization such as the digital Russia program, the digital government program and the program of eliminating digital inequality in Russia. Findings: We consider this study to be both a first exploration and a baseline of the three level digital divides in Russia. The paper shows how the level of socioeconomic development of the federal districts, as well as a number of objective factors (distance/isolation, urbanization level, availability of infrastructure and costs for building new infrastructure, etc.) have impact upon digitalization of the regions. As a result, several federal districts of Russia (Central, Northwestern, and, in a number of cases, Ural and Volga federal districts) more often than others take leading positions in rankings, in terms of degree of Internet penetration, audience numbers, use of e-services, etc. This correlation, however, is not universal as we will show, and some regions lacking behind in terms of access can be booming in terms of digital literacy or other factors, like it happened with the Far Eastern Federal district for example. All in all, our research showed that digital inequality in Russia is still on place and will require more time for complete elimination, even though current state and public initiatives are being actively developed. Originality/value: This paper will bring to light meaningful insights into the three levels of digital divides in Russia. Based on a multilevel (three levels of digital divide) and multi-sectional approach (the interplay of different types of inequalities), this paper contributed to overall better understanding of the digital inequalities phenomenon in Russia. It also allowed for a comparative interregional perspective, which has been missing in most papers on digital inequalities in Russia so far. [ABSTRACT FROM AUTHOR]

Purpose: This paper focuses on the differences in domain intellectual structure discovery between author bibliographic coupling analysis (ABCA) and author co-citation analysis (ACA) considering all authors. The purpose of this study is to examine whether and in what ways these two all-author network approaches yield different results. Design/methodology/approach: The sample was collected from the database of Web of Science, including all articles published in Scientometrics and Journal of Informetrics from 2011 to 2020. First, 100 representative authors were selected from each set, and ABCA matrices and ACA matrices were constructed. Second, factor analysis was carried out on the matrices, to detect the intellectual structure of scientometrics and informetrics. Findings: The intellectual structures identified by ABCA and ACA are similar overall, but the results differ somewhat when it comes to specific structures. The ABCA is more sensitive to some highly collaborative research teams and presents a clearer picture of current intellectual structures and trends while ACA seems to have some advantages in representing the more traditional and proven research topics in the field. The combined use of ABCA and ACA allows for a more comprehensive and specific intellectual structure of research fields. Originality/value: This paper compares the performance of ABCA and ACA detecting the intellectual structure of the domain from the perspective of all authors, revealing the intellectual structure of scientometrics and informetrics comprehensively. Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-12-2020-0540. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to provide a comprehensive review on the academic journey of artificial intelligence (AI) in agriculture and to highlight the challenges and opportunities in adopting AI-based advancement in agricultural systems and processes. Design/methodology/approach: The authors conducted a bibliometric analysis of the extant literature on AI in agriculture to understand the status of development in this domain. Further, the authors proposed a framework based on two popular theories, namely, diffusion of innovation (DOI) and the unified theory of acceptance and use of technology (UTAUT), to identify the factors influencing the adoption of AI in agriculture. Findings: Four factors were identified, i.e. institutional factors, market factors, technology factors and stakeholder perception, which influence adopting AI in agriculture. Further, the authors indicated challenges under environmental, operational, technological, economical and social categories with opportunities in this area of research and business. Research limitations/implications: The proposed conceptual model needs empirical validation across countries or states to understand the effectiveness and relevance. Practical implications: Practitioners and researchers can use these inputs to develop technology and business solutions with specific design elements to gain benefit of this technology at larger scale for increasing agriculture production. Social implications: This paper brings new developed methods and practices in agriculture for betterment of society. Originality/value: This paper provides a comprehensive review of extant literature and presents a theoretical framework for researchers to further examine the interaction of independent variables responsible for adoption of AI in agriculture. Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-10-2020-0448 [ABSTRACT FROM AUTHOR]

Purpose: Informational use of social media facilitates political engagement. Yet, there is also evidence of the perils of frequent political engagement in misinformation propagation. This study aims to examine the association between online political engagement, perceived exposure to misinformation, individuals' cognitive characteristics and misinformation sharing. Design/methodology/approach: In this paper, online surveys were conducted in Kenya, Nigeria and South Africa (Study 1) and the United States (Study 2). Findings: Study 1 finds that online political engagement is positively associated with perceived exposure to and sharing of misinformation. Mediation analyses suggest that the relationship between online political engagement and misinformation sharing is mediated by perceived exposure to misinformation. Further, the likelihood of sharing misinformation is found to increase at higher levels of online political engagement, but those with low need for cognition (NFC) are more vulnerable to such sharing. Study 2 explores cognitive ability in place of NFC. The results follow similar patterns as Study 1 – online political engagement is linked to misinformation sharing via higher perceived exposure to misinformation. The authors also find that the tendency to share misinformation increases with frequent exposure to misinformation but those with lower cognitive ability are more prone to such sharing. Originality/value: In both contexts, the data show that perceived exposure to misinformation mediates the relationship between online political engagement and misinformation sharing and those with low NFC and cognitive ability are more vulnerable. Overall, the findings offer insight into the mechanisms of political engagement and sharing misinformation. [ABSTRACT FROM AUTHOR]

Purpose: This systematic review aims to synthesize the literature reporting the motives, sociodemographic, attitude/behavior and impacts of fake news during the COVID-19 pandemic, targeting the general population worldwide. Design/methodology/approach: A systematic review approach was adopted based on PRISMA, targeting articles published in five databases from January 2020 to November 2021. The screening resulted in 46 eligible papers. Findings: Results indicate low level of awareness, knowledge, media/health literacy, low trust in science/scientists and entertainment/socialization to be the main motivating drivers for fake news dissemination, whereas the phenomenon is more prominent among those with low socio-economic status, and males. Negative impacts were reported due to fake news dissemination, especially violation to precautionary measures, negative affections, and low trust in government/news, with many believing that others are more susceptible to fake news than themselves. Social implications: Considering the pandemic is still on-going and the deleterious consequences of fake news, there is a need for cohort-based interventions from the concerned authorities. Originality/value: The systematic review covers a wide timeline of 23 months (i.e. up to end of 2022) targeting five well-known databases, hence articles examined are deemed extensive and comprehensive. The review specifically focused on the general population with results revealing interesting motives, sociodemographic profiles, attitude and impact of this phenomenon during the COVID-19 pandemic. Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-02-2022-0082. [ABSTRACT FROM AUTHOR]

Purpose: The Method section of research articles offers an important space for researchers to describe their research processes and research objects they utilize. To understand the relationship between these research materials and their representations in scientific publications, this paper offers a quantitative examination of the citation contexts of the most frequently cited references in the Method section of the paper sample, many of which belong to the category of research material objects. Design/methodology/approach: In this research, the authors assessed the extent to which these references appear in the Method section, which is regarded as an indicator of the instrumentality of the reference. The authors also examined how this central measurement is connected to its other citation contexts, such as key linguistic attributes and verbs that are used in citation sentences. Findings: The authors found that a series of key linguistic attributes can be used to predict the instrumentality of a reference. The use of self-mention phrases and the readability score of the citances are especially strong predictors, along with boosters and hedges, the two measurements that were not included in the final model. Research limitations/implications: This research focuses on a single research domain, psychology, which limits the understanding of how research material objects are cited in different research domains or interdisciplinary research contexts. Moreover, this research is based on 200 frequently cited references, which are unable to represent all references cited in psychological publications. Practical implications: With the identified relationship between instrumental citation contexts and other characteristics of citation sentences, this research opens the possibility of more accurately identifying research material objects from scientific references, the most accessible scholarly data. Originality/value: This is the first large-scale, quantitative analysis of the linguistic features of citations to research material objects. This study offers important baseline results for future studies focusing on scientific instruments, an increasingly important type of object involved in scientific research. Peer review: The peer review history for this article is available at: 10.1108/OIR-03-2021-0171 [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to provide a comprehensive review on electronic word-of-mouth (eWOM) credibility. Further, the authors propose a comprehensive and integrated model on eWOM credibility. Design/methodology/approach: The authors conducted a systematic review of the extant literature on marketing, sociology and psychology to identify the factors that affect eWOM credibility. Further, the authors developed themes and identified factors which lead to eWOM credibility. Findings: Four factors were identified, i.e. content, communicator, context and consumer, which affect eWOM credibility. Several variables associated with these four factors were identified, which result in eWOM credibility. Further, the authors developed 22 propositions to explain the causal relationship between these variables and eWOM credibility. Research limitations/implications: The conceptual model needs empirical validation across various eWOM platforms, i.e. social networking websites, e-commerce websites, etc. Practical implications: Managers and e-commerce vendors can use these inputs to develop specific design elements and assessment tools which can help consumers to identify credible eWOM messages. Credible eWOM messages, in turn, will increase the "trust" and "loyalty" of the customers on e-commerce vendors. Originality/value: This paper provides a conclusive takeaway of eWOM credibility literature by integrating multiple perspectives and arguments from the extant literature. This study also presents an integrated model, which provides a theoretical framework for researchers to further examine the interaction effect of various variables, which results in eWOM credibility. Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-06-2020-0263 [ABSTRACT FROM AUTHOR]

Purpose: The role of female managers has been of increasing interest among scholars in recent years, especially regarding sustainability issues. The same could be said about the usefulness of social media in non-governmental organizations (NGOs) in demonstrating accountability to their stakeholders and attracting and keeping donors and volunteers. This paper aims to meet both research interests by analyzing to what extent women in top positions can foster stakeholders' engagement via social media. Design/methodology/approach: Online engagement can be proxied using data from social media to develop a measure that summarizes the main actions social media users are able to use in order to show their reactions to social media publications. Facebook data were obtained using proprietary software (Facebook data model) developed by the research team to carry out data massive extraction, processing and exploration. Findings: The results of the multivariate analysis show that female leadership in both top and environmental-specific positions enhance social media engagement, while a higher percentage of women on the board of directors exert the opposite effect. Research limitations/implications: This study is not without limitations. First, this research is focused on a specific type of non-governmental organization (environmental NGO). Second, this study does not include economic variables such as donation income or expense structure. Third, data come only from Facebook as the leading social network. Originality/value: This paper advances in the scarce knowledge about the role of women and the levels of online engagement (interactive conversations) in NGOs focused on sustainability. [ABSTRACT FROM AUTHOR]

Purpose: Experienced reviewers in general can produce high-quality product reviews, and thereby get more helpful votes. This paper explores the question that whether the depth and width of the reviewers' experience distribution have effects on the helpfulness of their reviews. Design/methodology/approach: Adopting the restaurant review data from Yelp, the present paper classifies the restaurants in to different categories applying the Word2Vec technique, such as Asian or fast food. By evaluating the number of a user's historical reviews in a specific category, and the evenness of such distribution in different categories, the experience specialty and experience diversity are defined respectively. Findings: The analysis shows that users specialised in a given category can produce more helpful reviews in that category. The users with diverse historical experience, i.e. have posted reviews for many categories, also can produce helpful reviews. In addition, the experience diversity shows a positive moderation effect on the influence of experience specialty. Thus, users with diverse experience while specialized in a particular category are the source of most helpful reviews. Originality/value: While previous studies mostly consider the raw number of historical reviews as a reviewer's experience, we distinguish such experience by product category and focus on the width and depth of its distribution. The results not only shed lights on the mining of high-quality reviews and reviewers but also provide insights on the management of online review platforms and electronic marketing. [ABSTRACT FROM AUTHOR]

Purpose: This systematic literature review (SLR) paper presents the overview and analysis of the existing ontologies application in the SE domain. It discusses the main challenges in terms of its ontologies development and highlights the key knowledge areas for subdomains in the SE domain that provides a direction to develop ontologies application for SE systematically. The SE is not as straightforward as the traditional economy. It transforms the existing economy ecosystem through peer-to-peer collaborations mediated by the technology. Hence, the complexity of the SE domain accentuates the need to make the SE domain knowledge more explicit. Design/methodology/approach: For the review, the authors only focus on the journal articles published from 2010 to 2020 and mentioned ontology as a solution to overcome the issues specific for the SE domain. The initial identification process produced 3,326 papers from 10 different databases. Findings: After applying the inclusion and exclusion criteria, a final set of 11 articles were then analyzed and classified. In SE, good ontology design and development is essential to manage digital platforms, deal with data heterogeneity and govern the interoperability of the SE systems. Yet the preference to build an application ontology, lack of perdurant design and minimal use of the existing standard for building SE common knowledge are deterring the ontology development in this domain. From this review, an anatomy of the SE key subdomain areas is visualized as a reference to further develop the domain ontology for the SE domain systematically. Originality/value: With the arrival of the Fourth Industrial Revolution (4IR), the sharing economy (SE) has become one of the important domains whose impact has been explosive, and its domain knowledge is complex. Yet, a comprehensive overview and analysis of the ontology applications in the SE domain is not available or well presented to the research community. [ABSTRACT FROM AUTHOR]

Purpose: This paper proposes a framework that automatically assesses content coverage and information quality of health websites for end-users. Design/methodology/approach: The study investigates the impact of textual and content-based features in predicting the quality of health-related texts. Content-based features were acquired using an evidence-based practice guideline in diabetes. A set of textual features inspired by professional health literacy guidelines and the features commonly used for assessing information quality in other domains were also used. In this study, 60 websites about type 2 diabetes were methodically selected for inclusion. Two general practitioners used DISCERN to assess each website in terms of its content coverage and quality. Findings: The proposed framework outputs were compared with the experts' evaluation scores. The best accuracy was obtained as 88 and 92% with textual features and content-based features for coverage assessment respectively. When both types of features were used, the proposed framework achieved 90% accuracy. For information quality assessment, the content-based features resulted in a higher accuracy of 92% against 88% obtained using the textual features. Research limitations/implications: The experiments were conducted for websites about type 2 diabetes. As the whole process is costly and requires extensive expert human labelling, the study was carried out in a single domain. However, the methodology is generalizable to other health domains for which evidence-based practice guidelines are available. Practical implications: Finding high-quality online health information is becoming increasingly difficult due to the high volume of information generated by non-experts in the area. The search engines fail to rank objective health websites higher within the search results. The proposed framework can aid search engine and information platform developers to implement better retrieval techniques, in turn, facilitating end-users' access to high-quality health information. Social implications: Erroneous, biased or partial health information is a serious problem for end-users who need access to objective information on their health problems. Such information may cause patients to stop their treatments provided by professionals. It might also have adverse financial implications by causing unnecessary expenditures on ineffective treatments. The ability to access high-quality health information has a positive effect on the health of both individuals and the whole society. Originality/value: The paper demonstrates that automatic assessment of health websites is a domain-specific problem, which cannot be addressed with the general information quality assessment methodologies in the literature. Content coverage of health websites has also been studied in the health domain for the first time in the literature. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to investigate social and technical drivers of data science practices and develop a standard model for assisting organizations in their digital transformation by providing data science capability/maturity level assessment, deriving a gap analysis, and creating a comprehensive roadmap for improvement in a standardized way. Design/methodology/approach: This paper systematically reviews and synthesizes the existing literature-related to data science and 183 practitioners' considerations by employing a survey-based research method. By blending the findings of this research with a well-established process capability maturity model standard, International Organization for Standardization/International Electrotechnical Commission (ISO/IEC) 330xx, and following a methodological maturity development framework, a theoretically grounded model, entitled as the data science capability maturity model (DSCMM) was developed. Findings: It was found that organizations seek a capability/maturity model standard to evaluate and improve their current data science capabilities. To close this research gap, the DSCMM is developed. It consists of six capability maturity levels and twenty-seven processes categorized under five process areas: organization, strategy management, data analytics, data governance and technology management. Originality/value: This paper validates the need for a process capability maturity model for the data science domain and develops the DSCMM by integrating literature findings and practitioners' considerations into a well-accepted process capability maturity model standard to continuously assess and improve the maturity of data science capabilities of organizations. [ABSTRACT FROM AUTHOR]

Purpose: Reviewing the existing literature in the field of e-learning success reveals a considerable number of studies that primarily investigate the causal relationships proposed by the DeLone and McLean (D&M) information system (IS) success model. However, the various relationships in the D&M model have found different levels of support or even contradictory results within the empirical literature. To synthesize the existing knowledge in the field of e-learning success, the authors have conducted a meta-analysis of e-learning success studies using D&M to combine the quantitative results and validate the model in this field. Furthermore, a moderator analysis involving user types was performed to examine the situation under which they may have different effects. Design/methodology/approach: For this purpose, through a systematic review of the studies, 44 independent studies were selected from 29 qualified related journals. In order to analyze the quantitative results of the studies, the meta-analysis of the effect sizes of the casual relationships in the D&M model has been used. Findings: The findings indicated that all relationships of the model were supported. It was also revealed that the extent of effect sizes of the examined relationships depends on the type of user. Except for one relationship (user satisfaction and net benefit), all effect sizes of employees were more than those of students and teachers. Research limitations/implications: This meta-analysis reviewed the relationships found in the literature on D&M constructs in e-learning contexts. This study better explains the e-learning success factors by consolidating contradictory findings in the past researches and contributes to the existing e-learning success literature. The findings can assist educational institutions and organizations in decision-making because the findings resulting from the meta-analysis are more consistent than previous primary researches. Originality/value: Despite the widespread use of the D&M model in the field of e-learning success, no study has yet consolidated the quantitative findings of these studies and the current field abounds in some controversies and inconsistent findings. This paper integrates the results of empirical studies that examined the relationships within the D&M model. The main contribution of this paper, which is the first of its kind, is to apply meta-analysis to reconcile the conflicting findings, investigate the strengths of the relationships in the D&M model and provide a consolidated view. [ABSTRACT FROM AUTHOR]

Purpose: Paid digital campaigning tools play an increasingly pivotal role in individual election campaigns worldwide. Extant literature often juxtaposes the equalization theory, which argues that these tools create a level playing field, and the normalization theory, which contends that strong and resource-rich politicians benefit most from digital tools. This article aims to inform this debate by looking at it from a campaign expenditure perspective beyond the Anglo-American bias of most research on the subject. Design/methodology/approach: The authors use an original dataset on campaign expenditures and resources of 1,798 candidates running for 13 Belgian parties in the 2019 federal parliamentary election. Relying on multilevel statistical models, the authors link the candidates' digital campaign expenses to their incumbency status, which is expected to affect digital campaigning. Findings: While earlier work on majoritarian cases often showed contradicting results, this study on the Belgian flexible-list proportional representation (PR) case provides strong support for the equalization theory by demonstrating that incumbents are not only less inclined to spend on digital tools than challengers, but also spend a smaller part of their budget on these tools. Originality/value: This paper contributes to the literature by exploring the equalization versus normalization debate from a campaign expenditure perspective using a made to purpose dataset in a non-Anglo-American context. Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-12-2021-0679 [ABSTRACT FROM AUTHOR]

Purpose: The number of children using and owning mobile devices has grown significantly in the last decade. By applying a uses and gratifications approach, this paper aims to explore what customers of a tablet computer for children report about the use and expectations of these devices from an information behavior perspective. Design/methodology/approach: For this study, 1,185 online customer reviews published for two different versions of the Amazon Fire Tablet Kids Edition on the German Amazon website between June 16, 2019, and June 15, 2020, were analyzed. A content analysis of the reviews was conducted using different inductive coding methods. Findings: Findings indicate that customers describe different aspects of children's use and families' expectations of tablets within their reviews. The expressed gratifications mostly relate to the aim of entertainment. Intentional information seeking activities were hardly mentioned within the reviews, but many customers emphasize learning as an important activity with the devices. Overall, the customer reviews reveal a mix of gratifications that differ from reported motivations for adults' tablet use. Research limitations/implications: The possibility of manipulated online customer reviews must be considered. It should also be viewed critically that the children's perspectives are only indirectly included in the data. Originality/value: Families' expectations of tablets as a device for children have not been a focus of research to date. This study uses an innovative research design by applying a uses and gratifications approach to online customer reviews for children's tablets. The findings add to previous research on children's use and families' expectations of tablets and contribute to our understanding of children's information behavior in connection with mobile devices. [ABSTRACT FROM AUTHOR]

Purpose: The impact of innovative web portals on users, from access to application, is gaining interest as the global call for increased data availability gains momentum. This study reports on the perceptions of portal end users about usage and access to digital data across a range of fields of practice. Design/methodology/approach: Data were collected and analysed from interviews (n = 132) and email feedback (n = 235) from end users of interoperable spatial knowledge web portals. Findings: Data reveal that users attribute importance to ease of access and applicability, and to confidence and trust in data. The acquisition of data assists with reducing knowledge silos, facilitates knowledge sharing and decision-making. Digital data portals enable the building of stronger collaborations between different groups of individuals and communities leading to improved outcomes and more positive developments across varied discipline and practice areas. Practical implications: Recommendations for developing online portals to optimise knowledge transfer and associated benefits, for users, are offered. Originality/value: By collecting extensive qualitative data drawn from the experiences of end users of digital data portals, this paper provides new insights, thereby addressing a knowledge gap in the published literature about the use of technology uptake and the application of online data for practice and industry benefit. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of the study is to evaluate the relationship of Journal Publication Timeline (submission to first decision and submission to final decision) with various Journal Metrics (citing half-life, article influence score, the immediacy index, the acceptance rate, the impact factor (IF), five years IF, Eigenfactor and cited half-life) of top 600 journals retrieved from Journal Citation Report (JCR) 2020 under the tag, Elsevier Unified. Design/methodology/approach: Top 600 journals in the decreasing order of the IFs under the tag, "Elsevier Unified" were retrieved from JCR 2020 of Clarivate Analytics. Information about "Journal Metrics" was ascertained using "Customized Service" of JCR, while information about the "Publication Timeline" of each journal was obtained using Elsevier's "Journal Insights Service." It was found that only 177 journals provided the complete information regarding the "Publication Timeline" and hence considered for the study. Descriptive statistics and correlation analysis was conducted to test the different hypotheses. Findings: It was found that submission to first decision has a significant relationship with the immediacy index, citing half-life and the acceptance rate. Submission to final decision has a significant relationship with Journal Impact Factor (JIF), the immediacy index, Eigenfactor, citing half-life and the acceptance rate. Research limitations/implications: The study will provide the authors with sound and valuable information to support their selection of journals. Inferences in light of fluctuations in the scholarly communication process in terms of Publication Timelines and Journal Metrics can be deeply understood with the aid of the current study's findings. What considerations authors have to take before submitting their papers is the main implication of the study. Journal administrators can also benefit from the findings of the current study as it can help recruit and manage reviewers, which will ensure a successful publication timeline. Originality/value: The study correlates Publication Timeline Indicators with Journal Metrics Indicators using secondary cross-sectional data. Though most previous studies only examine the relationship of the Publication Timeline with the Journal Impact Factor (JIF), there is very scarce literature that deciphers the influence of Publication Timeline indicators on different Journal Metrics indicators (including JIF). Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-02-2022-0108. [ABSTRACT FROM AUTHOR]

Purpose: Since the success of online communities depend on physicians' participation, understanding factors that influence community participation and content contribution are critical for online health communities (OHCs). Drawing on the self-determination theory (SDT), an empirical model was proposed to explore the effects of social returns and economic returns on physicians' community participation, private content contribution and public content contribution, and the moderating effect of their online seniority. This paper aims to address these issues. Design/methodology/approach: Empirical data of 4,343 physicians were collected from a Chinese OHC, and ordinary least squares (OLS) and negative binomial regression models were employed to verify the proposed theoretical model. Findings: The authors' results indicate that both social and economic returns have a positive effect on physicians' community participation and private content contribution, and their online seniority strengthens the positive effects of economic returns on community participation and private content contribution. Originality/value: The authors' research extends physicians' community participation by dividing content contribution into private and public, and enhances our understanding of the determinants of physicians' participation in OHCs by exploring the effects of social and economic returns, as well as the moderating effect of online seniority. Their findings contribute to the literature on e-Health and user participation, and provide management implications for OHC managers. Peer review: The peer review history for this article is available at https://publons.com/publon/10.1108/OIR-11-2021-0615/ [ABSTRACT FROM AUTHOR]