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Professional sport facility sustainability initiatives offer sport organizations an opportunity to demonstrate congruence with societal concern for the environment, an effort that also affects stadia revenue generation. Guided by diffusion of innovations theory, this study harnessed diffusion modeling and logistic regression to determine how quickly renewable energy source adoption is diffusing across 175 professional sport stadia in the United States and Canada and the factors catalyzing early renewable energy source adoption. Results revealed 86 (49%) facilities adopted at least one type of renewable energy source, with solar emerging as the predominant technology adopted (68 total adoptions). Full diffusion for renewable source adoption was predicted for 2061 (p =.0094, q = 0.1404, root mean square error = 3.25, mean absolute error = 2.51), while not all renewable energy sources were predicted to fully diffuse (wind; p =.0117, q = −0.0710, root mean square error =.853, mean absolute error = 0.675). New stadia construction during the time of adoption, facility type, and geographical social systems emerged as significant factors catalyzing adoption in the early majority. [ABSTRACT FROM AUTHOR]

AbstractArtificial Intelligence Generated Content (AIGC) has shown significant potential in design, driven by advancements in artificial intelligence technology. However, understanding designers’ willingness to embrace this technology and the factors influencing their decision-making requires further research. In this study, we develop a theoretical model of user behavioral intention in AIGC-assisted design, drawing upon the Diffusion of Innovations theory and the Unified Theory of Acceptance and Use of Technology. Through empirical analysis using the PLS-SEM structural equation model, we investigate the mechanisms behind various influencing factors on behavioral intention. Our findings highlight the relative advantage as the most significant positive factor, emphasizing the importance of the innovation’s benefits in the Diffusion of Innovations theory. Designers prioritize the innovation and assistance provided by AIGC technology in the design process and ideas, recognizing the advantages of the innovation itself over mere performance improvement. This study provides valuable insights into the psychological and behavioral mechanisms guiding designers’ decision-making regarding the application of AIGC technology in design. [ABSTRACT FROM AUTHOR]

This study extends the diffusion of innovations theory by considering the threat of technology and examining the adoption of artificial intelligence (AI) in the workplace over time from a dynamic, differential-effects perspective. Findings from a three-wave survey study reveal an association between the threat of AI (i.e., job security concerns) and increasingly negative attitudes toward AI adoption among employees over time. Relative advantage, compatibility, and observability correlated with more positive attitudes, whereas ease of use and trialability showed no significant association. In testing the differential effects on attitudes toward AI adoption among different groups of potential adopters, we found that trialability positively influenced attitudes only among employees who held a positive attitude previously. Observability and the threat of AI, however, were more influential among employees who held a negative attitude previously. Theoretical and practical implications were discussed. [ABSTRACT FROM AUTHOR]

The adoption and diffusion of blended learning in higher education have a surge in recent years, particularly since the COVID-19 pandemic. However, research on comprehensive institutional strategies elucidating the reasons and mechanisms behind institutional adoption is still limited. This gap may contribute to a lack of understanding among university leadership regarding the provision of necessary policies and essential support for both students and academics. Utilising a case study methodology, and grounded in Diffusion of Innovations theory, this study investigates the factors influencing the institutional adoption and diffusion of blended learning in a university. The study involved interviews with 24 lecturers and six university executives, and the data were analysed relying on a theoretical proposition. Additionally, various university documents were collected and subjected to content analyses. The results revealed a range of factors that either facilitated or impeded the diffusion process, including student experiences, teacher beliefs and attitudes, teacher support, teacher self-efficacy, university policies, and institutional readiness. While most of these factors contributed to the innovation process, certain elements had a negative impact, hindering the university's efforts for diffusion. Notably, the study observed the dynamic evolution of the roles played by some factors as the diffusion process unfolded. [ABSTRACT FROM AUTHOR]

This article presents the most significant factors influencing the adoption of scan&go UTAUT 2 (Unified Theory for Acceptance and Use of Technology) model application. The study offers possible approaches to appropriately working with individual factors using a newly presented research connection between UTAUT 2 and diffusion of innovation. The research is based on analyzing data from a questionnaire survey conducted among 420 Czech consumers. Respondents were first divided into categories according to their approach to innovation based on the diffusion of innovations theory. Although scan&go systems are already widespread in the Czech Republic, only about 56% of addressed customers have included them in their shopping habits. Among non-users, the main causes of their current behavior were identified and their future decision-making was also examined. The UTAUT 2 model was subsequently applied to verify the main drivers of behavior among active users. Thus, a total of 235 responses were utilized to validate the model (using PLS-SEM via SmartPLS 4). Of the essential constructs defined in UTAUT 2, performance expectancy, hedonic motivation and habit on behavioral intention indicated the most significant decision-making influence. The user's behavior is mainly explained by the factors of behavioral intention and habit. The established routines thereby show the most powerful effect when it comes to the adoption of scan&go systems among young people. The assignment of managers trying to attract consumers to adopt similar technological innovations or to motivate non-users is, therefore, to focus on user habits with an emphasis on the involvement of entertaining elements (hedonic motivation) and promotion of benefits arising from the use (performance expectancy). [ABSTRACT FROM AUTHOR]

Purpose: This study aims to examine the key antecedents influencing the private firm's intention to adopt big data analytics (BDA) in developing economies. To do so, the study follows the sequential explanatory approach. Design/methodology/approach: To test the hypothesized model that draws on the technology–organization–environment (TOE) framework paired with the diffusion of innovation (DOI) theory, a purposive sampling technique was applied to gather data from 156 IT and management domain experts from the private firms that intend to adopt BDA and operate in Pakistan's service industry, including telecommunication, information technology, agriculture, and e-commerce. The data were analysed using the partial least squares structural equations modelling (PLS-SEM) technique and complemented with qualitative analysis of 10 semi-structured interviews in NVIVO 12 based on grounded theory. Findings: The empirical findings revealed that the two constructs – perceived benefits and top management support – are the powerful drivers of a firm's intention to adopt BDA in the private sector, whereas IT infrastructure, data quality, technological complexity and financial readiness, along with the moderators, BDA adoption of competitors and government policy and regulation, do not significantly influence the intention. In addition, the qualitative analysis validates and further complements the SEM findings. Originality/value: Unlike the previous studies on technology adoption, this study proposed a unique research model with contextualized indicators to measure the constructs relevant to private firms, based on the TOE framework and DOI theory, to investigate the causal relationship between drivers and intention. Furthermore, the findings of PLS-SEM were complemented by qualitative analysis to validate the causation. The findings of this study have both theoretical and practical implications. [ABSTRACT FROM AUTHOR]

Despite the global increase in online gaming with luxury fashion items, gamers' purchases of these items in virtual environments remain understudied. Utilizing the diffusion of innovation theory, the research analyzes data from 268 Fortnite gamers in Fiji to understand the influence of avatar identification, materialism, and status consumption on purchasing in-game luxury fashion items. The study confirms positive relationships between relative advantage, compatibility, trialability, observability, and in-game luxury avatar identification by employing covariance-based structural equation modeling. It also highlights how materialism and status consumption drive the intention to purchase luxury items in-game, with gamer competence reinforcing the association between avatar identification and purchase intention. The findings offer a deeper theoretical understanding of luxury fashion consumption within the context of online gaming, a rapidly growing global phenomenon. The study provides fresh insights into luxury fashion consumption in online gaming, highlighting the applicability of diffusion of innovation theory across cultures and the changing perception of luxury in virtual spaces. Its findings are valuable for game developers, marketers, and luxury brands in developing and marketing in-game luxury items to a worldwide audience. This study enriches international marketing and digital consumer behavior literature and offers strategic directions for global digital gaming marketing. [ABSTRACT FROM AUTHOR]

This study investigates how chefs operating in Australia and Vietnam perceive sustainability within their c ontext, how sustainability could be enhanced, and challenges limiting stronger sustainable practices. Data were gathered through in-depth, semi-structured face-to-face and online interviews with 69 chefs (34 in Australia, 35 in Vietnam). The analysis revealed 11 key dimensions, similarities, and clear differences in how chefs perceive sustainable practices. For instance, while both groups strongly perceived the need to work with the supply chain as a means to enhance sustainability, they clearly differed concerning reducing food-related wastage or being more open to sustainability-related discussions. [ABSTRACT FROM AUTHOR]

The article discusses the research on immersive technologies, specifically virtual reality (VR), augmented reality (AR), and mixed reality (MR). It highlights the limited publications on immersive technologies in major information systems (IS) journals, but mentions some studies that have been conducted in journals such as the Journal of Management Information Systems (JMIS) and Decision Support Systems (DSS). The article suggests potential research opportunities in four categories: devices and components with technical capabilities, applications for various domains and purposes, usages and implementations in different contexts and levels, and outcomes and impacts of immersive technologies. It also encourages IS scholars to pursue novel and innovative research in this field, while considering theoretical frameworks and applying appropriate methodologies. The article concludes by emphasizing the importance of promoting research on immersive technologies and organizing dedicated conference tracks and journal special issues. [Extracted from the article]

As e-commerce continues to expand, understanding the factors that drive consumer traffic to business-to-consumer (B2C) websites is crucial. This study investigates the interplay between website technological sophistication, brand recognition, and business model innovation in influencing website traffic among Korean B2C companies. Drawing on data from 9003 companies across seven key sectors—finance, retail, healthcare, technology, food, education, and media—we employ Ordinary Least Squares (OLS) regression analysis to test our hypotheses. Our findings reveal that website technological sophistication is positively associated with monthly website visits. This relationship is particularly pronounced for companies with innovative business models, highlighting the synergistic effect of advanced website features and novel business strategies in attracting consumers. Conversely, the positive impact of website technological sophistication on traffic is less significant for well-established brands with high recognition levels, indicating that strong brand equity can mitigate the need for highly sophisticated websites. These results align with the Technology Acceptance Model (TAM), Innovation Diffusion Theory (IDT), and Signaling Theory (ST), providing a nuanced understanding of how technology, branding, and innovation intersect to drive online consumer behavior. Our study offers valuable insights for e-commerce firms seeking to optimize their digital presence and underscores the importance of investing in advanced website functionalities, particularly for lesser-known brands and companies with innovative business models. Future research should explore these dynamics in different cultural and industry contexts to enhance the generalizability of our findings. [ABSTRACT FROM AUTHOR]

Copyright of Environmental & Social Management Journal / Revista de Gestão Social e Ambiental is the property of Environmental & Social Management Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Within the academic landscape, distance education is progressively gaining global attention and recognition, and many institutions are committing resources to make it a success. Global enrollments show a steady increase in distance learning. However, the availability of support services and students' technological competence are critical to the success of distance education. One of the important support systems for maintaining effective online education is libraries and information services. As a result, this study investigated the acceptance of e-library and support services. The study was led by the UTUAT model and its accompanying theories, such as the innovation diffusion theory and the theory of planned behaviour. The census technique was used to sample 2003 graduate distance students. The data was examined using multivariate structural equation modeling approach. The study found a negative association between strategic and operational skills and students' intents to use the e-library and support services. However, students' inclination to use the e-library and support services was found to be strongly predicted by social influence. The study concludes by underlining the necessity for distance education institutions to host courses that increase students' operational and strategic skills so that they can properly utilise e-library services. [ABSTRACT FROM AUTHOR]

Background: The automotive industry is pivotal in advancing sustainability, with electric vehicles (EVs) essential for reducing emissions and promoting cleaner transport. This study examines the determinants of EV adoption intentions in Thailand, integrating demographic and psychographic factors from Environmental psychology and innovation diffusion theory; Methods: Data from a structured questionnaire, administered to 4003 respondents at gas stations with EV charging facilities across Thailand, were analyzed using a Correlated Mixed-Ordered Probit Model with Heterogeneity in Means (CMOPMHM); Results: Findings indicate that younger adults, particularly those aged 25–34 years old and 45–54 years old, are more likely to adopt EVs, whereas conventional or hybrid vehicle owners are less inclined. Rural residency or travel also hinders adoption. Individuals with strong environmental values and openness to new technologies are more likely to adopt EVs; Conclusions: The proposed model quantified the relative importance of these factors and uncovered heterogeneity in user preferences, offering reliable and valuable insights for policymakers, EV manufacturers, and researchers. The study suggests targeted policies and enhanced charging infrastructure, especially in rural areas, and recommends leveraging environmental values and trialability through communication campaigns and test drive events. These insights can guide the development of targeted incentives, infrastructure expansion, communication strategies, and trialability programs to effectively promote wider EV adoption in Thailand and similar markets. [ABSTRACT FROM AUTHOR]

Purpose: In light of the repercussions of the COVID-19 pandemic, electronic auditing otherwise known as computer-assisted audit tools and techniques (CAATTs) has become inevitable to automate the auditing process worldwide. Accordingly, the purpose of this study is to examine the influence of technological, organizational and environmental (TOE) factors on public sector adoption of CAATTs in developing countries such as Jordan under the COVID-19 pandemic conditions. Design/methodology/approach: This study used 136 usable responses from the managers of internal audit (IA) of the Jordanian public sector entities. The data collected were analyzed using partial least squares-structural equation modeling. The TOE framework has been used in this study to consider a wide set of TOE factors. Then, this study suggests a CAATTs adoption model that incorporates the related technology factors of the diffusion of innovation theory to environmental and organizational factors. Further, this study contributes to the TOE framework by addressing government regulations, audit bodies' support and audit task complexity as environmental factors affecting CAATTs adoption in the context of the public sector. Findings: The results revealed that for technological factors, only the compatibility affects CAATTs adoption by the IA departments. For organizational factors, organizational readiness, top management support, auditors' information technology competency and entity size were found to be significant factors. From the environmental factors, both government regulation and audit task complexity influence the CAATTs adoption. Besides, entity size moderates the influence of top management support on the CAATTs adoption in the public sector. Practical implications: The findings could highlight the significance of the CAATTs adoption in the public sector institutions (by internal auditors) post-COVID-19, taking into consideration the TOE framework's factors. Also, the findings are significant for the decision-makers and regulators in declaring new legislation for the electronic IA profession in the Jordanian public sector. Social implications: It turns out that the CAATTs adoption in the public sector can definitely enhance their ability to achieve the role of IA in preserving public funds and restricting corrupt practices within the public sector. Originality/value: To the best of the authors' knowledge, this study is one of the first studies that address the professional audit agency support and audit task complexity as environmental factors, as well as the entity size as an organizational factor, that affect CAATTs adoption in the IA department of the public sector. [ABSTRACT FROM AUTHOR]

Aim Methods Results Conclusions Impact Patient or Public Contribution To identify and report the use of social media among pre‐registration (pre‐licence) student nurses.A social survey was conducted in 2019 to explore student nurses' views of social media usage. Diffusion of innovation theory and social identity theory were used as the theoretical framework. A reflexive thematic analysis was undertaken of responses to an open‐ended question.351 responses were analysed. Four themes emerged: Social media as a communication tool that helps to keep in contact and communicate with friends, family, colleagues and peers; Social media and self‐care including a sense of pride, boosting morale and helping to relax; Social media and learning by sharing experiences, chatting, posts and social media and professionalism, participants expressed confusion over the use of social media professionally.The diffusion of social media among UK student nurses is advancing in different aspects of UK student nurses' lives. However, the diffusion seems to slow down when it comes to the professional system. They express concerns that one social system can negatively impact another and have repercussions on a personal and/or professional level and therefore prevent UK student nurses from developing social media proficiencies. Guidance and support should be offered to UK student nurses to develop their social identity across the different systems. This diffusion can help to educate student nurses and future professionals in a globally connected world.Social media features in student nurses' personal and professional lives and presents challenges for social identity which is woven into the personal and professional personas. Nursing faculties should have social media competencies embedded into the curricula to develop and strengthen students' social and professional identities across the different systems.No Patient or Public Contribution. [ABSTRACT FROM AUTHOR]

Introduction: Diffusion of Innovation Theory explains how ideas or products gain momentum and diffuse (or spread) through specific populations or social systems over time. The theory analyzes primary influencers of the spread of new ideas, including the innovation itself, communication channels, time, and social systems. Methods: The current study reviewed published medical literature to identify studies and applications of artificial intelligence (AI) in endourology and used E.M. Rogers' Diffusion of Innovation Theory to analyze the primary influencers of the adoption of AI in endourological care. The insights gained were triaged and prioritized into AI application-related action items or "tips" for facilitating the appropriate diffusion of the most valuable endourological innovations. Results: Published medical literature indicates that AI is still a research-based tool in endourology and is not widely used in clinical practice. The published studies have presented AI models and algorithms to assist with stone disease detection (n = 17), the prediction of management outcomes (n = 18), the optimization of operative procedures (n = 9), and the elucidation of stone disease chemistry and composition (n = 24). Five tips for facilitating appropriate adoption of endourological AI are: (1) Develop/prioritize training programs to establish the foundation for effective use; (2) create appropriate data infrastructure for implementation, including its maintenance and evolution over time; (3) deliver AI transparency to gain the trust of endourology stakeholders; (4) adopt innovations in the context of continuous quality improvement Plan-Do-Study-Act cycles as these approaches have proven track records for improving care quality; and (5) be realistic about what AI can/cannot currently do and document to establish the basis for shared understanding. Conclusion: Diffusion of Innovation Theory provides a framework for analyzing the influencers of the adoption of AI in endourological care. The five tips identified through this research may be used to facilitate appropriate diffusion of the most valuable endourological innovations. [ABSTRACT FROM AUTHOR]

With the rise of preventative healthcare needs after the COVID-19 pandemic, tanyaDNA, a genomics company in Indonesia, seeks to introduce Lifestyle and Pharmacogenomic Testing. This study explores using Diffusion of Innovation Theory to create a targeted marketing strategy for this new service. There's a lack of awareness and affordability concerns surrounding the test, along with a knowledge gap between the company, healthcare professionals, and the target market. The research aims to assess the theory's applicability, bridge these understanding gaps, and promote successful integration of the test into Indonesian healthcare. This can inform marketing strategies for other genomics companies looking to expand beyond COVID-19 testing. The study focuses on the JABODETABEK area of Indonesia and utilizes surveys and interviews to gather data. The findings can help bridge the gap between product creators and target markets, especially regarding the perspectives of key healthcare professionals. [ABSTRACT FROM AUTHOR]

Introduction: Drawing on the Unified Theory of Acceptance and Use of Technology 2 and the Diffusion of Innovation Theory, this article investigates the adoption of telemedicine services from a patient perspective in Germany, Spain, and the United States using a mixed-methods approach. Digital health technologies have the potential to improve access to care and to alleviate the burden on traditional health care systems and are becoming more integrated into everyday medicine. Therefore, understanding the factors that impact patients' intentions to use telemedicine is crucial to ensure successful development. Methods: Based on 1,200 surveys collected in Germany, Spain, and the United States, structural equation modeling (IBM SPSS Amos 24) is employed to test the hypotheses. The article also explores how age and gender moderate the proposed relationships. Results: Seven out of the 10 hypotheses (performance expectancy, hedonic motivation, habit, relative advantage, and perceived security) are found to be positive, direct, and statistically significant. Furthermore, findings suggest stronger effects for telemedicine usage intention for younger female users than their male counterparts. Discussion: With digital health technologies becoming more prevalent, the outcomes of this study can endorse the development of effective strategies to promote the adoption of telemedicine, ultimately improving access to care and contributing to the advancement of and modern health care. [ABSTRACT FROM AUTHOR]

This research examined the themes that emerge from online discussions of the COVID-19 vaccines to assist health communicators and officials in combating misinformation in health-related discussions. Using framing theory and the diffusion of innovation framework, this study presents findings from a semantic network analysis of 3842 tweets collected during the first week of February 2022. The authors calculated betweenness and page rank centrality scores for Twitter users participating in the online dialogue and identified 36 semantic themes. Findings revealed that the most influential dialogue participants were retired health and medical professionals, data analysts, journalists, online advocates, and politicians. The frames identified in the study contained several misinformation narratives about the COVID-19 vaccines. The authors discuss the implications of these findings for health officials and communicators as well as the theoretical implications of the diffusion of misinformation and framing as a tool to reiterate untruths. [ABSTRACT FROM AUTHOR]

This study evaluates details of a progressive transportation development model, wherein high occupancy vehicle (HOV) lanes are transformed into high-occupancy toll (HOT) lanes. Although the management strategy of HOT lanes has been implemented for many years, the implementation of HOT lanes is limited in many regions, and thus, many people remain unfamiliar with the concept. This study aims to evaluate travelers' willingness to pay for HOT lanes based on a "low application" scenario in Shenzhen, China, wherein some HOV lanes are present and may potentially be transformed into HOT lanes, but not all area residents are aware of their intended purpose. According to the Diffusion of Innovation Theory, we leverage this situation to conduct a survey of perceptions and attitudes toward the HOT lanes and evaluate how these perspectives may translate to HOT lane utilization. We further proposed a hybrid utility and regret model considering the impacts of loss aversion caused by tolls or coordinated carpooling for single occupancy vehicles to explore relationships between travel behavior and surveyed demographic and socio-economic characteristics in the context of HOT lanes in places where they are unfamiliar. A sensitivity analysis is conducted to characterize any apparent changing influences. The results show that the model considering decision regret performs well, especially in the scenario with low tolls. Nearly 80% of travelers are willing to pay tolls for HOT lanes, even with limited prior exposure to the concept. The increased acceptance of HOT lanes can be expected to hurt total toll revenue, which may be triggered by easier access to carpool partners associated with the free pass. The study informs a deeper understanding of travelers' willingness to pay for HOT lanes and helps policy-makers develop differentiated tolling strategies. • The willingness to pay for HOT lanes is studied under the low application. • Loss due to unfamiliarity is integrated with the analysis of willingness to pay. • The willingness to pay supports differentiated spatiotemporal tolling policies. • Nearly 80% of travelers are willing to pay tolls, even with the limited concept. • Reduced travel time has the most significant impact on the HOT lane advantage. [ABSTRACT FROM AUTHOR]

The study examines the factors driving customers' continued intention to reuse mobile food ordering apps (MFOA) in India. The study developed an integrated model using Diffusion of Innovation Theory (DOI) with Self-Determination Theory (SDT) and an additional construct: self-efficacy. Data collected from 334 respondents in India were analyzed using covariance-based structural equation modeling. The results revealed that autonomous motivation, followed by compatibility are the strongest determinants of intention to continue using MFOA. Contrary to the hypothesis, relative advantage and controlled motivation turned out to have an insignificant impact on continued intention. Other factors, viz., observability, complexity, and self-efficacy, are significant. Based on the findings, the study strongly recommends firms to develop MFOA that are customer-centric, fun to use, and less complex. Previous studies have mainly focused on users' initial adoption of MFOA. However, this is the first study that investigates customers' continued intention to reuse MFOA in a developing country like India. The integration of DOI with SDT is a unique approach adopted by the present study. [ABSTRACT FROM AUTHOR]

Purpose: Insufficient intra-organizational diffusion of prefabricated construction (PC) technology hinders its implementation benefits. More research on intra-organizational diffusion of PC technology is required to improve organizational performance in PC implementation. This study aims to explore the antecedents and consequence of intra-organizational diffusion of PC technology. Design/methodology/approach: This study established an antecedent and consequence model of intra-organizational diffusion of PC technology from the perspective of contingency theory. The model was empirically tested by 91 valid questionnaires using partial least squares-structural equation modeling (PLS-SEM). Findings: The results indicate that organizational support (OSU), organizational climate (OC) and mechanistic organizational structure (OST) positively influence intra-organizational diffusion of PC technology, which further positively influences organizational performance. The relationship between OC and intra-organizational diffusion of PC technology is mediated by OSU. Technological turbulence negatively moderates the relationship between OSU and intra-organizational diffusion. Originality/value: This is the first paper to study the antecedents and consequence of intra-organizational diffusion of PC technology and an expansion of contingency theory in the research field of PC technology. This study helps to theoretically stimulate future research on intra-organizational diffusion and practically promote intra-organizational diffusion of PC technology along with improving organizational performance in its implementation. [ABSTRACT FROM AUTHOR]

Copyright of International Journal of Professional Business Review (JPBReview) is the property of Open Access Publications LLC and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The purpose of this study was to analyze the diffusion of one sport innovation to forecast a second. Contextualized within the diffusion of innovations theory, this study investigated cumulative business analytics diffusion as an analog for cumulative natural language processing (NLP) diffusion in professional sport. A total of 89 teams of the 123 teams in the Big Four North American men's professional sport leagues contributed: 21 from the National Football League, 23 from the National Basketball Association, 22 from Major League Baseball, and 23 from the National Hockey League. Utilizing an analogous forecasting approach, a discrete derivation of the Bass model was applied to cumulative BA adoption data. Parameters were then extended to predict cumulative NLP adoption. Resulting BA-estimated parameters (p =.0072, q =.3644) determined a close fit to NLP diffusion (root mean square error of approximation = 3.51, mean absolute error = 2.98), thereby validating BA to predict the takeoff and full adoption of NLP. This study illuminates an ongoing and isomorphic process for diffusion of innovations in the professional sport social system and generates a novel application of diffusion of innovations theory to the sport industry. [ABSTRACT FROM AUTHOR]

This study uses the technology, organization, and environment (TOE) framework and the diffusion of innovation (DOI) theory to measure the intention of MSME owners to use this application and to understand the factors that influence their adoption. The study uses a quantitative approach with a sample consisting of 400 MSME respondents in Indonesia, data collection using Google Forms, analyzed using a structural equation model - partial least square (SEM PLS). The results of the study state that MSMEs can increase adoption by ensuring that their organizational structure and environment are conducive to technology use, providing training and development for employees, and collaborating with external technology providers. Future research can analyze specific types of mobile business applications and differentiate respondents based on their application usage experience. Third, longitudinal analysis is needed because mobile business applications are growing rapidly over time. [ABSTRACT FROM AUTHOR]

Mobile applications are able to reach multiple markets instantaneously and simultaneously in cyberspace, with varying performances over time. The purpose of this study is to advance our understanding of this process and the internationalisation patterns in the virtual world. Based on the diffusion of innovation theory (DOI), we have developed a configurational model that relates the three elements of the diffusion process – innovation, communication channels, and social systems – to the speed of dispersion across multiple markets (breadth) at different adoption rates (depth) and over different periods (timespan). A fuzzy set qualitative comparative analysis (fsQCA) is conducted on a sample of 70 mobile games, which indicates that these elements have interdependent effects on rapid international expansion and play different roles in deeper and longer-term diffusion. It also demonstrates that rapid internationalisation in the virtual world benefits from communication and influence among users. This study contributes to the internationalisation speed literature by employing a demand-side perspective in the virtual world. It also contributes to the DOI literature by exploring the interdependent relationships among different elements of the diffusion process. [ABSTRACT FROM AUTHOR]

Despite the e-commerce boom worldwide, Africa ranks last on all indicators of e-commerce readiness, indicating that it is not sufficiently benefiting from this practice's economic, social, and human development potential. This paper explores the role of research in promoting knowledge on how e-commerce can contribute to Africa’s development. It uses Jakubik’s knowledge creation theory and the scientometric perspective of knowledge diffusion to identify six main conceptual themes that characterize knowledge creation and diffusion through research on e-commerce in Africa using four different science mapping methods. Results show that knowledge created and disseminated through academic research on e-commerce in Africa is not adapted to what practitioners and policymakers need to better understand how e-commerce can promote development in Africa. We discuss six main points regarding this issue and propose recommendations for addressing them in future research. [ABSTRACT FROM AUTHOR]

Background: German hospitals are legally obliged to implement digital patient portals within the next years. Systematic reviews show that the use of patient portals may be associated with improved patient-centeredness and workflows. However, mandatory digital healthcare innovations are sometimes not used by the target group as planned or even completely rejected. Based on Roger's theory of innovation diffusion, it can be assumed that the time factor is of particular importance for the adoption of the patient portal. The aim of the project is to assess determinants of patient portal adoption and to examine whether Roger's theory can be confirmed. Methods: The project investigates the use of the patient portal in three different clinics of a large academic teaching hospital in Germany using a longitudinal study design with three cross-sectional time points (pre, post, post). Doctors and patients are surveyed about factors that predict the use of the patient portal and whether the strength of these factors changes over time. They are also interviewed about possible barriers they experience when using the patient portal or about the reasons why the patient portal is not used. Regression models and content analyses are used to answer the research questions. Discussion: Determinants of patient portal use will be discussed under the light of the temporal component of Roger's theory. At the same time, it is expected that some determinants will remain unchanged over time. Identifying determinants independent of time allows targeting the groups, enabling specific communication strategies to empower these groups to use the patient portal, contributing to an equal health care system. Trial registration: The study was prospectively registered in the German register of clinical trials (DRKS00033125) in May 2024. [ABSTRACT FROM AUTHOR]

Teaching financial and economic justice content is an important feature of social work education. Such content helps students effectively address financial challenges with their clients, transform communities, and advocate for appropriate economic policies. Despite initial efforts by CSWE and others, many social work educators still do not teach financial and economic justice content in their courses. Using the diffusion of innovation theory, this paper assesses what sociodemographic, personal, and education related factors impact the odds of teaching financial and economic justice content. The study used original survey data (n = 163) from social work educators and binary logistic regression modeling techniques. Results suggest that the social work educator's highest achieved education level, as well as the type of course taught, play a meaningful role in determining the odds of teaching the content. Furthermore, perceived relevance has a strong, positive association with the odds of teaching the content. These findings suggest that those seeking to increase the prevalence of financial and economic justice content in social work education can target their efforts on a few key intervention points, and that policy measures supporting the integration of the content have yet to be implemented by educators. [ABSTRACT FROM AUTHOR]

Background: The efficiencies of plasma Alzheimer's disease (AD) biomarkers could facilitate early AD diagnosis. Unfortunately, limited knowledge exists about whether and how they would be used by clinicians. Objective: To identify and compare determinants of plasma AD biomarker use reported by primary care providers and dementia specialists. Design: Semi-structured interviews with clinicians organized using Rogers' Diffusion of Innovations theory and analyzed using an iterative coding approach. Participants: The subjects were internal and family medicine, neurology, and geriatrics providers with varying degrees of expertise in dementia diagnosis and care. Main Measures: Factors influencing a clinician's decision to use or not use plasma AD biomarkers in clinical practice. Key Results: We interviewed 30 clinicians (16 family or internal medicine providers, 8 geriatricians, and 6 neurologists). Fifteen were dementia specialists. Hesitance to use plasma AD biomarkers was due to perceived lack of effective treatments for AD, limited access to supports, and stigma. Plasma AD biomarkers would be more readily adopted by clinicians with dementia expertise. Conclusions: Several factors will influence clinical use of plasma AD biomarkers. Some of them may inform the design of interventions to promote the effective and appropriate clinical translation of these tests. [ABSTRACT FROM AUTHOR]

Diffusion of innovation theory considers the knowledge of innovation as the essential stage of the innovation-adoption decision. Thus, it is necessary to obtain information about the public knowledge of innovation and unveil its determinants. This study examines the relevant predictors of audience DTT knowledge in Indonesia. We analyze a large sample of respondents disaggregated by basic socioeconomic characteristics to provide a more detailed insight concerning audience DTT knowledge. The statistical summary shows that most respondents had limited familiarity with DTT. In addition, the econometric results indicate that audience gender, age, education, monthly household income, online video subscription, and participation in the DTT campaign are relevant predictors of DTT knowledge. Moreover, the results suggest other significant variables to raise DTT knowledge among subsamples of females (Talkshow and Direct-to-home TV) and those at the lower level of education (Sports and Direct-to-home TV) and income (Sports and Talkshow). [ABSTRACT FROM AUTHOR]

Traditional document‐based systems engineering (SE) practices have proven inadequate to address modern systems' increasing complexity, leading to shortcomings in SE outcomes. To address these limitations, model‐based systems engineering (MBSE) has emerged with an emphasis on the system model as the primary SE artifact. Despite its potential, MBSE has not achieved widespread adoption. This study explores MBSE adoption challenges through the lens of the diffusion of innovations theory to identify factors hindering its adoption. The study's methodology includes a survey distributed to SE professionals focusing on perceptions of attributes of MBSE identified by the diffusion of innovations theory, current use of models and MBSE, and basic demographic information. Results highlighted that respondents recognize the relative advantage of MBSE in improving data quality and traceability, but perceived complexity and compatibility with existing practices still present barriers to adoption. Subpopulation analysis reveals that those who are not already involved in MBSE efforts face the additional adoption obstacles of limited trial opportunities and tool access (chi‐squared test of independence between these populations resulted in p = 0.00). The survey underscores the potential for closer alignment between MBSE and existing SE methodologies to improve the perceived compatibility of MBSE. Future studies would benefit from examining additional variables identified by the diffusion of innovations theory, incorporating control questions to differentiate between perceptions of SE generally and MBSE specifically, identification of better methods to assess current MBSE use by participants, and measures to broaden the participant scope. Finally, the imminent introduction of SysML v2 presents a unique opportunity to reshape perceptions of MBSE to improve the adoption rate of MBSE and enhance its accessibility among SE professionals. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to present a review of small and medium-sized enterprise (SME) literature on the adoption of technology for marketing with the objective the knowledge trajectory from SMEs to tourism SMEs (TSMEs) and presents a research agenda for the adoption of digital marketing among TSMEs. Design/methodology/approach: The quantitative literature review method is adopted to analyze 50 articles published in high-ranking journals from 2011–2021. The selected papers were reviewed to quantitatively present the popular theoretical frameworks, constructs and research methods used for the adoption of digital marketing among SMEs and to present a future research agenda in the context of TSMEs. Findings: The findings present a review of theoretical approaches, research design, methods, and models used by researchers, and identify new directions for future research in the context of the adoption of digital marketing among TSMEs. The paper presents a theoretical critique of the technology adoption theories and builds on diffusion of innovation theory, technology–organization–environment (TOE), and institutional theory to propose an expanded model to study digital marketing adoption among TSMEs. Research limitations/implications: The article presents a significant advancement in the theoretical understanding of the adoption of digital marketing by offering the application of the TOE framework with moderating role of mimetic and normative pressures. Thus, the study contributes to the scarce research on institutional theory in the context of services (tourism) and offers an alternative and holistic perception to study digital marketing. The research model serves as an organizing tool for future researchers and practitioners to probe and further augment knowledge development in tourism and TSMEs. Originality/value: Negligible published work on TSMEs makes this study valuable and the proposed model gives strategic information in the given context. [ABSTRACT FROM AUTHOR]

Purpose: The increasing prevalence of mobile phones and the ease of cheaper Internet access have accelerated the growth of mobile-based payments in India. The study aims to identify must-have and should-have factors affecting consumers' usage intention toward "Near-Field Communication (NFC)" based mobile payments. Design/methodology/approach: The research integrates diffusion innovation theory and the technology acceptance model. Employing a mixed-methods approach, combining partial least square structural equation modeling and Necessary Condition Analysis (NCA). Thus, the study draws from qualitative interviews and a quantitative survey of 218 respondents. Findings: The study results indicate that the relative advantage of NFC-based mobile payments over conventional payment modes and security concerns directly affect the intention to use it. However, complexity, transaction speed and ease of use do not affect the intention to use. Moreover, perceived usefulness mediates the relationship between complexity, relative advantage and transaction speed with the intention to use NFC-based mobile payments. Less complexity and ease of use, despite being insignificant determinants as per PLS-SEM, must be focused on as the NCA results indicate its necessity for future market growth. Originality/value: This research addresses a significant gap by focusing on Indian consumers' intention to use NFC-based mobile payments, an area largely unexplored despite the global and availability of such services. The study distinguishes itself by examining factors influencing adoption within the nascent stage of mobile-based NFC payments in India, where digital growth and technology uptake are gradually unfolding. [ABSTRACT FROM AUTHOR]

Objectives: To describe how people living with HIV/ AIDS (PLWHA) make decisions using the diffusion of innovation theory model. Decisions occur when individual decision makers engage in activities that guide choices to adopt or reject a particular innovation. Methods: This is a descriptive analysis research using a survey method. Data collection was carried out using a decision making questionnaire. The subjects in this research were HIV/AIDS sufferers (PLWHA) who lived in Turen, Indonesia. The number of research subjects was 36 respondents obtained using the purposive sampling technique on January 2023. Original Article Results: The research design used the correlation method with a cross sectional approach and the Spearman correlation coefficient statistical test. The research results show significance (2-tailed) of 0.934 (p>0.05). The correlation coefficient results are negative. Where the direction of the correlation produces showed a very weak relationship with a value of 0.014 and the results of the analysis between variables are not the same. This is because the persuasion stage was not tested in the analysis. Research shows that 8 (22.2%) patients rejected the decision making of PLWHA using the diffusion of innovation theory model at the Western Provident Association Turen Foundation, Turen, Indonesia, while 28 (77.7%) patients accepted it. It can be concluded that the majority of decisions made by HIV/AIDS patients at the ADIS Turen Peduli Warga Foundation are accepted. Conclusion: Knowledge of HIV/AIDS sufferers is at a good level, their decision making is mostly accepted and there is a meaningful relationship between knowledge and decision making in using a chatbot innovation. The suggestion from the research is that this chatbot innovation can be a source of further research and help provide education for PLWHA patients in everyday life. [ABSTRACT FROM AUTHOR]

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Purpose: The purpose of the article is to contribute to the body of research on digital transformation among members of the supply chain operating in an emerging economy. This paper researches the digital transformation trends happening across Vietnamese supply chains, by investigating the current adoption rates, predicted impact levels and financial investments being made in key Industry 4.0 technologies. Design/methodology/approach: By using a semi-structured online survey, the experiences of 281 supply chain professionals in Vietnam were captured. Subsequently, statistical techniques examining variances in means, regression analysis and Monte Carlo simulation were applied. Findings: The findings of this study offer a comprehensive understanding of Industry 4.0 technology in Vietnam, highlighting the prevalent technologies being prioritized. Big data analytics and the Internet of things are expected to have the most substantial impact on businesses over the next 5–10 years and have received the most financial investment. Conversely, Blockchain is perceived as having less potential for future investment. The study further identifies several technological synergies, such as combining advanced robotics, artificial intelligence and the Internet of things to build effective and flexible factories, that can lead to more comprehensive solutions. It also extends diffusion of innovation theory, encompassing investment and impact considerations. Originality/value: This study offers valuable insights into the impact and financial investment in Industry 4.0 technologies by Vietnamese supply chain firms. It provides a theoretical contribution via an extension of the diffusion of innovation theory and contributes toward a better understanding of the current Industry 4.0 landscape in developing economies. The findings have significant implications for future managerial decision-making, on the impact, viability and resourcing needs when undertaking digital transformation. [ABSTRACT FROM AUTHOR]

Consumers' privacy rights have been enshrined in law, long before information systems and the Internet was brought to life. In 2018, stricter regulations relating to information privacy came into force, named the General Data Protection Regulation (GDPR). Using elements of Roger's diffusion of innovations theory, we investigated the research question: How has five years of the GDPR influenced consumer's knowledge, attitude, and practice of their enhanced rights? We draw on empirical data collected in Norway through four online survey questionnaires over five years (N=1293). Quantitative (descriptive statistics) and qualitative analyses (manual cluster text mining) were performed to obtain a state-of-the-art mapping of insights on consumers and their information privacy. Our findings show that the respondents' answers remained similar over the years, and that the GDPR has not had a significant influence on the consumer. The respondents demonstrated a high degree of knowledge regarding both the regulation and technology, such as cookies. Their attitude was sceptical, as they valued their enhanced rights but questioned the feasibility. Regarding their practice, our findings reveal diversity. Some respondents took careful actions to protect their privacy, while most did not. The present paper should be interesting to both the industry (practitioners) and academia (researchers). [ABSTRACT FROM AUTHOR]

Drawing on the diffusion of innovation theory, we argue that the development of digital economy has a positive effect on urban economic resilience. Using panel data from 284 cities in China from 2011 to 2018, we empirically examine the relationship between digital economy and urban economic resilience. We find a positive and significant link between them, mediated by technological innovation and entrepreneurial vitality. Moreover, the heterogeneity analysis shows that the impact of digital economy is most pronounced in smaller cities, with its effects diminishing in larger cities and megacities. Our results underscore the importance and the direction of fostering digital economy development. [ABSTRACT FROM AUTHOR]

The study employs bibliometric and content analysis to assess the current status of applying technology adoption models (such as the Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), and Innovation Diffusion Theory (IDT)) to the smartphone market, which also encompasses smart wearables. Hereby, the author aims to explore the relationship between smartphone usage and adoption models and contribute to the literature through current trends and methodologies. To achieve the goal, the author applied a two-stage approach. In the first stage, 213 articles were analyzed using citation and bibliographic coupling tools in VOS viewer (version 1.6.20). The papers were selected from the Scopus database, and the search was conducted in the fields of economics, business, and computer technologies. In the second stage, the author conducted a brief literature review of the most influential papers. The results illustrate the situation regarding the implementation of various models in the case of smartphone adoption. Content analyses of the most influential papers were conducted to elucidate and enhance the findings of bibliometric analyses, identify research gaps, and guide future research development. [ABSTRACT FROM AUTHOR]

This study explores the adoption and societal implications of an emerging technology such as Chat Generative Pre‐Trained Transformer (ChatGPT) in higher education students. By utilizing a mixed‐method framework, this research combines Rogers' diffusion of innovation theory with sentiment analysis, offering an innovative methodological approach for examining technology adoption in higher educational settings. It explores five attributes—relative advantage, compatibility, ease of use, observability, and trialability—shaping students' behavioral intentions toward ChatGPT. Sentiment analysis offers qualitative depth, revealing emotional and perceptual aspects, and introduces a gender‐based perspective. The results suggest that five innovation attributes significantly impact the adoption rates and perceptions of ChatGPT, indicating its potential for transformative social change within the educational sector. Gen Zs viewed ChatGPT as innovative, compatible, and user‐friendly, enabling the independent pursuit of educational goals. Consequently, the benefits provided by ChatGPT in education motivate students to use the tool. Gender differences were observed in the prioritization of innovation attributes, with male students favoring compatibility, ease of use, and observability, while female students emphasized ease of use, compatibility, relative advantage, and trialability. The findings have implications for understanding how technological innovations such as ChatGPT could be strategically diffused across different societal segments, especially in the academic context where ethical considerations such as academic integrity are paramount. This study underscores the need for a demographic‐sensitive, user‐centric design in generative artificial intelligence (AI) technologies. [ABSTRACT FROM AUTHOR]

Studies show that Pakistan has made significant advancements in financial technology. However, the costs that prevent a client from using fintech are still unclear. This study aims to analyze the perceived transaction cost-related factors that affect their intention to fintech while having the moderating effects of situational factors. The data collected from an online questionnaire was used to test a structural equation model with Smart PLS 3 analysis. The survey included a two-part form with five-point Likert scales, receiving 276 replies from diverse backgrounds during a three-month online survey. This paper, which is based on Transaction Cost Economics, Innovation Diffusion Theory, and Belk's Theory, hypothesizes that five antecedents influence consumers' perceived transaction cost (PTC) of fintech, including dependability (β = −0.223), uncertainty (β = 0.204), asset specificity (β = 0.203), convenience (β = −0.186), complexity (β = 0.181). The intention of consumers to use fintech for online shopping or service utilization is negatively correlated with PTC. When acting as a moderator, situational factors such as the pandemic and impending police, and environmental and physical surroundings are found to be necessary. Customers have difficulty connecting specific reasons for not utilizing fintech to financial concerns. A negative association exists between perceived transaction cost and intention to use fintech. It is discovered that environmental and physical surroundings entirely counteract perceived transaction costs' detrimental effects on intention to use. [ABSTRACT FROM AUTHOR]

The thrust of this paper is on using folk media to promote the protection of the environment, given that open defecation, indiscriminate dumping of refuse in waterways and scooping of sand in waterways take place in rural communities and constitute hazards to development plans in Cross River State, Nigeria. The paper formulated two objectives, two research questions and two hypotheses. The investigation was situated under the Diffusion of innovations theory of development by Rogers and Shoemaker, 1971. The relevance of this theory to the work is the recognition given the media for development task. The study adopted the survey design, with questionnaire and focus group discussions, as primary instruments for data collection. The reliability estimate of the instrument tagged, "Harnessing Trado-media in Reducing Land Pollution and Sustainable Development Goals Questionnaire (HTRLPSDGQ), was ranged at 0.71 to 0.84. A total of 400 respondents, using the Taro-Yamane formula were used to derive the sample size from a study population of 4,021,245, across the three senatorial districts of Cross River State. The multi-stage (proportionate, simple random and systematic) sampling techniques were used to selects 15 LGAs across the three senatorial districts, 40 villages across the LGAs, 40 streets across the villages and 5 houses at interval per street. Data from the questionnaire were analyzed using descriptive statistics and data from focus group discussions were analyzed using explanation method. One major finding from the study revealed that environmental pollution has consequences on sustainable development goals and that communication is pivotal in curbing land pollution, leading to the attainment of SDGs in Cross River State. [ABSTRACT FROM AUTHOR]

This article explores the adoption of Generative Artificial Intelligence (AI) tools within the domain of software engineering, focusing on the influencing factors at the individual, technological, and social levels. We applied a convergent mixed-methods approach to offer a comprehensive understanding of AI adoption dynamics. We initially conducted a questionnaire survey with 100 software engineers, drawing upon the Technology Acceptance Model, the Diffusion of Innovation Theory, and the Social Cognitive Theory as guiding theoretical frameworks. Employing the Gioia methodology, we derived a theoretical model of AI adoption in software engineering: the Human-AI Collaboration and Adaptation Framework. This model was then validated using Partial Least Squares–Structural Equation Modeling based on data from 183 software engineers. Findings indicate that at this early stage of AI integration, the compatibility of AI tools within existing development workflows predominantly drives their adoption, challenging conventional technology acceptance theories. The impact of perceived usefulness, social factors, and personal innovativeness seems less pronounced than expected. The study provides crucial insights for future AI tool design and offers a framework for developing effective organizational implementation strategies. [ABSTRACT FROM AUTHOR]

The purpose of this study is to explore the factors affecting college users' willingness to participate in smart services of academic library. The paper analyzes the factors affecting college users' willingness to participate in library smart services, and constructs a conceptual model with 17 hypotheses proposed, based on the theory of Uses and Gratifications, Social Cognition Theory, Innovation Diffusion Theory, and Information Systems Success Model. The conceptual model was empirically tested using structural equation modeling technique through questionnaire survey data. The questionnaire was distributed online to college students and teachers in different provinces of China by using random sampling technique. College users' willingness to participate in smart services of academic library is directly and positively affected by information need of users, innovative consciousness of users, service platform performance, user satisfaction, library publicity and guidance, and extrinsic incentives. Information quality, service platform performance, service quality, and service value have significant and positive impact on user satisfaction, and they all indirectly affect users' willingness to participate in smart services of academic library through user satisfaction. The survey results also show that the purpose of college students and teachers' participation in smart services is mainly to meet their information needs. And users' participation willingness is not affected by self-efficacy of users and others' influence, which is different from the participation motivation of users on social Q & A and short video platforms. Understanding of factors affecting users' willingness to participate in smart services of academic library will likely demand rethink into a number of issues ignored by studies on smart library and smart services. Few studies focus on users' participation behavior in smart services of library. This study focused on the factors affecting users' willingness to participate in smart services of academic library, which would expand the understanding of users' participation behavior in smart services and enrich the scope of studies on smart library and smart services. [ABSTRACT FROM AUTHOR]

The aim of this study is to examine the integration of AI-powered tools into the lessons in the context of the diffusion of innovation theory. One of the main features of AI-powered tools is that they provide personalized results or feedback. For this reason, it is important for students to experience these tools in person, that is, to interact with them, for their appropriate/accurate use in lessons. According to the diffusion of innovation theory, individuals with high levels of individual innovativeness are more likely to adapt to and use new applications or technologies than other individuals. In this context, we conducted a case study of pre-service teachers who have not received artificial intelligence education before, in order to investigate the purpose of using AI-powered tools while integrating them into their lessons, their status of providing interaction, and the change in their views on artificial intelligence according to the diffusion of innovation theory. We conducted/implemented the research with 3 AI-powered music applications developed by Google arts and Culture with the participation of 32 pre-service teachers. After explaining the features of the related applications to the pre-service teachers, we asked them to prepare lesson plans for each application. According to the results obtained, it was seen that the individual innovativeness scores of pre-service teachers differed significantly according to the level of providing interaction of ai supported tools with students in their lesson plans (X2(df = 3, n = 32) = 7,98; p <.05) and the effect size (.60) was also high. In other words, as the innovativeness levels of pre-service teachers increase, they use aipowered tools interactively with students in their lessons. According to the other results obtained in the study, there was a change in the pre-service teachers' views on artificial intelligence before and after the implementation. [ABSTRACT FROM AUTHOR]

Based on innovation diffusion theory, this paper develops a research model to investigate the influence mechanism of Human Resources (HR) competency on employees' job performance through the mediation effect of HR analytics and the positive moderation effect of Technology Adoption (TA). A survey was carried out in civil engineering firms in Pakistan, adapting measures with good reliability and validity from different sources, and collecting data through social media platforms and questionnaires from HR professionals. The responses of 297 respondents were collected and structural equation modeling was applied. The results show that there is a positive and significant relationship between HR competency and employee job performance, a significant partial mediation of HR analytics in the relationship between HR competency and employee job performance, and a significant positive moderation of TA in the mediation of HR analytics in the relationship between HR competency and employee job performance. This study provides an essential contribution to the diffusion of innovation theory, as TA is slow compared to other countries, and practical guidelines for the fast adoption of technology and HR analytics in the HR departments of civil engineering organizations to enhance talented employees' performance. [ABSTRACT FROM AUTHOR]

Objective: Primary care practitioners are crucial to engaging people in Australia's national cervical screening program. From July 2022, practitioners have been able to offer all screen‐eligible people the choice to collect their own self‐collected sample; an option introduced to increase equity. This study explored how practitioners are intending to incorporate universal access to self‐collection into their clinical care. Methods: Semi‐structed interviews with 27 general practitioners, nurses, and practice managers from 10 practices in Victoria, Australia conducted between May and August 2022. Interviews were deductively coded, informed by the Consolidated Framework for Implementation Research. The Diffusion of Innovations theory was used to categorise intention to provide self‐collection. Results: Participants were supportive of universal access to self‐collection, citing benefits for screen‐eligible people and that it overcame the limited adaptability of the previous policy. Most participants' practices (n = 7, 70%) had implemented or had plans to offer the option for self‐collection to all. Participants deliberating whether to provide universal access to self‐collection held concerns about the correct performance of the self‐test and the perceived loss of opportunity to perform a pelvic examination. Limited time to change practice‐level processes and competing demands within consultations were anticipated as implementation barriers. Conclusions: The extent to which self‐collection can promote equity within the program will be limited without wide‐spread adoption by practitioners. Communication and education that addresses concerns of practitioners, along with targeted implementation support, will be critical to ensuring that self‐collection can increase participation and Australia's progression towards elimination of cervical cancer. [ABSTRACT FROM AUTHOR]

Lack of effective policies hinder the uptake of Utility-scale solar PV, even though they are projected to play a pivotal role in achieving Indonesia's 2050 net-zero energy target. This study seeks to identify a cost-effective pathway to increase the capacity of utility-scale solar PV in Indonesia through supportive policies that ensure equitable cost distribution between the government and industry. A novel Market Penetration Optimization Model is developed and applied in simulationmode to assess existing policies, and optimizationmode to determine new policy recommendations and compare three policy induced diffusion pathways. Results show that current price-based policies are insufficient to stimulate growth in the solar PV market, only covering ~13% of the investment cost required by the industry. Thus, necessitating a reactivation of Feed-in-Tariffs. The optimal tariffs rates required range from 0.39 to 1.47 cents/kWh for the most economic pathway during the initial 10-year post-construction period. The Innovation Diffusion Theory-based pathway necessitates the lowest initial investment cost while yielding the highest revenue from electricity sales, demonstrating its superior cost-effectiveness compared to both the supply- based and linear pathways. This study enriches the literature by exploring the financial implications of policy induced diffusion pathways. [ABSTRACT FROM AUTHOR]