Search

In recent years, social media platforms have transformed into dynamic spaces for brand-consumer interaction, with commenting emerging as a strategic tool for brands to connect with their audience. This research study aims to examine what types of incentives trigger customers’ engagement in terms of commenting on different brand-related content types on social media. A total of 415 questionnaires were analyzed and a structural equation modeling approach was used to investigate the relationships among communal, self-interest, and reward incentives as independent variables and intentions to comment on commercial, personal opinion, and lifestyle brand-related content on social media as dependent variables. The results reveal that communal and reward incentives positively influence intentions to engage in commenting on commercial, personal opinion, and lifestyle content, whereas self-interest incentives negatively influence intentions to engage in commenting on the three types of analyzed brand-related content on social media. The paper focuses specifically on intentions to comment on different types of brand-related social media content rather than on contributing activities in general. The present study fills the research gaps, concerning the lack of analysis of the influence of different incentives on intentions to comment on different brand-related content types on social media. [ABSTRACT FROM AUTHOR]

Branding stands as a major component of any business, regardless of its size or commercial drive. It encompasses all efforts leading to the perception of a product, service, or organization in the minds and eyes of the audience or customers. Essentially, branding aims to create and fulfill a promise about a brand. Real-time branding focuses on improving consumer communication by providing brand-relevant information that connects with consumers' lives. Social media serve as an effective tool for this type of branding. The purpose of this study is to develop a model for real-time branding within the context of social media. This research uses qualitative thematic analysis with MaxQDA software. Experts in branding, social networks, and university professors specializing in these fields make up the study's population. They were selected based on the method used to develop the research model. The analysis identifies eight categories and thirty-four criteria essential for real-time branding: (1) timely supply of customer needs, (2) brand image, (3) brand awareness, (4) brand identity based on authenticity, (5) timely response, (6) creating value for customers, (7) customer participation in branding, and (8) an appropriate branding strategy. These categories help to facilitate and to direct real-time branding in companies. Moreover, the study reveals that social media plays a critical role in real-time branding. Market feedback, information sharing, interaction, communication, choosing the right social network, content scheduling, sharing, and production are the dimensions and categories identified for social media in branding. These have also emerged as criteria influencing real-time branding in the proposed model. Aligning the message with the moments expected by the audience and enhancing responsiveness to customer needs are the most effective tasks a brand must undertake. These efforts are crucial for increasing customer satisfaction and promoting customer interaction with the brand, leading to more voluntary cooperation in real-time branding.

The present study focuses on using qualitative and quantitative data to evaluate the functionality, user experience (UX), and aesthetic approach offered by an academic multi-site Web ecosystem consisting of multiple interconnected websites. Large entities in various industry fields often have the need for an elaborate Web presence. In an effort to address the challenges posed by this need specifically in the field of academia, the authors developed, over a period of many years, a multi-site ecosystem within the Ionian University, which focuses on interconnectivity and a collaborative approach to academic content management. This system, known as "Publish@Ionio", uses a singular content management infrastructure to allow for the creation of content for different websites that share both information and resources while at the same time allowing for individual variations in both functionality and aesthetics. The ecosystem was evaluated through quantitative data from its operation and qualitative feedback from a focus-group interview with experts, including website editors and administrative staff. The collected data were used to assess the strengths and weaknesses of the multi-site approach based on the actions and needs of the individuals in charge of generating content. The study led to conclusions on the advantages that interoperability offers in terms of digital and human resource management, the benefits of a unified aesthetic approach that allows for variability, and the necessity of collaborative content management tools that are tailored to the content's nature. [ABSTRACT FROM AUTHOR]

Public relations practices are widely accompanied by communication and persuasion. Especially today, when new media platforms provide direct accessibility, communication through PR has become more improved. This research focused on media organizations in the UAE, with a special consideration given to their audience content management. The researchers applied the case study method and selected a sample of n = 280 individuals from n = 12 media houses currently working in the UAE. The results obtained by structural equation modeling (SEM) revealed that media organizations in the UAE pay significant consideration to public relations practices (p > 0.000) and new media adoption (p > 0.000). Moreover, both these public relations practices (p > 0.000) and new media adoption were also found to significantly focus on two-way communication. Consequently, this two-way communication is significantly affecting content management among these organizations (p > 0.000), leading to the design, evaluation, and alteration of content that is acceptable and liked by their audiences. Thus, it has been concluded that media content and its management is not a simple task. Audience and communication are two basic factors that play an important role in this regard. Furthermore, the role of public relations practices also enhances communication and content management practices, leading to even more constructive outcomes. [ABSTRACT FROM AUTHOR]

The Covid-19 pandemic profoundly affected the online presence of every institution as in-person interactions abruptly came to a halt. Libraries had to make both significant adjustments and minor tweaks to their websites to accommodate new remote work and scholarship modalities. In some cases, entire web pages, which would typically require weeks of planning, research, and testing before being launched, were hastily published. In this article, the author explores how web committees can make on-the-fly changes that continue to yield positive results beyond the unique circumstances of a once-in-a-lifetime pandemic. They argue that by encouraging the use of design thinking principles, administrators and web committees can effectively showcase remote library services to students, faculty, and staff. [ABSTRACT FROM AUTHOR]

Piece selection policy in dynamic P2P networks play crucial role and avoid the last piece problem. BitTorrent uses rarest-first piece selection mechanism to deal with this problem, but its efficacy is limited because each peer only has a local view of piece rareness. The problem of piece section is multiple objectives. A novel fuzzy programming approach is introduced in this article to solve the multiple objectives piece selection problem in P2P network, in which some of the factors are fuzzy in nature. Piece selection problem has been prepared as a fuzzy mixed integer goal programming piece selection problem that includes three primary goals such as minimizing the download cost, time, maximizing speed and useful information transmission subject to realistic constraints regarding peer's demand, capacity and dynamicity. The proposed approach has the ability to handle practical situations in a fuzzy environment and offers a better decision tool to each peer to select optimal pieces to download from other peers in dynamic P2P network. Extensive simulations are carried out to demonstrate the effectiveness of the proposed model. It is proved that proposed system outperforms existing with respect to download cost, time and meaningful exchange of useful information. [ABSTRACT FROM AUTHOR]

Aiming at achieving artificial general intelligence (AGI) for the metaverse, pretrained foundation models (PFMs), e.g., generative pretrained transformers (GPTs), can effectively provide various artificial intelligence (AI) services, such as autonomous driving, digital twins (DTs), and AI-generated content (AIGC) for extended reality (XR). With the advantages of low latency and privacy-preserving, serving PFMs of mobile AI services in edge intelligence is a viable solution for caching and executing PFMs on edge servers with limited computing resources and GPU memory. However, PFMs typically consist of billions of parameters that are computation- and memory-intensive for edge servers during loading and execution. In this article, we investigate edge PFM serving problems for mobile AIGC services of the metaverse. First, we introduce the fundamentals of PFMs and discuss their characteristic fine-tuning and inference methods in edge intelligence. Then, we propose a novel framework of joint model caching and inference for managing models and allocating resources to satisfy users’ requests efficiently. Furthermore, considering the in-context learning ability of PFMs, we propose a new metric to evaluate the freshness and relevance between examples in demonstrations and executing tasks, namely the Age of Context (AoC). Finally, we propose a least-context (LC) algorithm for managing cached models at edge servers by balancing the tradeoff among latency, energy consumption, and accuracy. [ABSTRACT FROM AUTHOR]

Public relations practices are widely accompanied by communication and persuasion. Especially today, when new media platforms provide direct accessibility, communication through PR has become more improved. This research focused on media organizations in the UAE, with a special consideration given to their audience content management. The researchers applied the case study method and selected a sample of n = 280 individuals from n = 12 media houses currently working in the UAE. The results obtained by structural equation modeling (SEM) revealed that media organizations in the UAE pay significant consideration to public relations practices (p > 0.000) and new media adoption (p > 0.000). Moreover, both these public relations practices (p > 0.000) and new media adoption were also found to significantly focus on two-way communication. Consequently, this two-way communication is significantly affecting content management among these organizations (p > 0.000), leading to the design, evaluation, and alteration of content that is acceptable and liked by their audiences. Thus, it has been concluded that media content and its management is not a simple task. Audience and communication are two basic factors that play an important role in this regard. Furthermore, the role of public relations practices also enhances communication and content management practices, leading to even more constructive outcomes.

Piece selection policy in dynamic P2P networks play crucial role and avoid the last piece problem. BitTorrent uses rarest-first piece selection mechanism to deal with this problem, but its efficacy is limited because each peer only has a local view of piece rareness. The problem of piece section is multiple objectives. A novel fuzzy programming approach is introduced in this article to solve the multiple objectives piece selection problem in P2P network, in which some of the factors are fuzzy in nature. Piece selection problem has been prepared as a fuzzy mixed integer goal programming piece selection problem that includes three primary goals such as minimizing the download cost, time, maximizing speed and useful information transmission subject to realistic constraints regarding peer’s demand, capacity and dynamicity. The proposed approach has the ability to handle practical situations in a fuzzy environment and offers a better decision tool to each peer to select optimal pieces to download from other peers in dynamic P2P network. Extensive simulations are carried out to demonstrate the effectiveness of the proposed model. It is proved that proposed system outperforms existing with respect to download cost, time and meaningful exchange of useful information.

This special issue of the Journal of Technical Writing and Communication features work from scholars and practitioners of content strategy. Content strategy is an emerging area within technical communication that boasts a variety of unique practices for publishing, editing, and delivering technical content. The work within this special issue is a testament to the complexity and diversity of this field. [ABSTRACT FROM AUTHOR]

Purpose: The current research was conducted with the aim of comparative evaluation of music recognition software in terns of musical infomation retrieval capabilities. Methods: This research was an applied descriptive type and the method of doing survey-descriptive evaluative research using a cheklist. The statistical population of this research included 180 pieces of music in Ire two sections of Iranian music and international music, which hanian music in four traditional, pop, orchestal and local formats, each of these four formats in two ways, will words and without words, and international music in four fomiats. Classical, pop, electronic and ne age were reviewed. The data collection tool was a researcher-made checklist. The collected data were analyzed using descriptive statistics methods of Wilcoxon and Fried an. Findings: According to lie findings of the research, Shazam siftware was ranked first in 5 components (response speed, accuracy in retrieving music pieces, title and similar) in various Iranian and international music fomiats with 36 points along will Sundhound software and Navahang software will 26 points ranked last. In terms of facilities and search capabilities and infomiation retieval standards, all five software had lie same perfomiance. Shazam software has perfomied better than other software in both Iranian and international music and in most fomiats of spoken and wordless music. also results showed that in the discussion of music without words, lie results were weaker compared to music with words. Coclusion: Due to lie increase in the volume of music productions, boll spoken and written, and the lack of correct and accurate bibliographic infomiation and content, it is necessary to pay attention to the software in this field. Also, the attention and use of software for identifying and reeving musical infomiation based on Farsi content requires serious attention. [ABSTRACT FROM AUTHOR]

The present study focuses on using qualitative and quantitative data to evaluate the functionality, user experience (UX), and aesthetic approach offered by an academic multi-site Web ecosystem consisting of multiple interconnected websites. Large entities in various industry fields often have the need for an elaborate Web presence. In an effort to address the challenges posed by this need specifically in the field of academia, the authors developed, over a period of many years, a multi-site ecosystem within the Ionian University, which focuses on interconnectivity and a collaborative approach to academic content management. This system, known as “Publish@Ionio”, uses a singular content management infrastructure to allow for the creation of content for different websites that share both information and resources while at the same time allowing for individual variations in both functionality and aesthetics. The ecosystem was evaluated through quantitative data from its operation and qualitative feedback from a focus-group interview with experts, including website editors and administrative staff. The collected data were used to assess the strengths and weaknesses of the multi-site approach based on the actions and needs of the individuals in charge of generating content. The study led to conclusions on the advantages that interoperability offers in terms of digital and human resource management, the benefits of a unified aesthetic approach that allows for variability, and the necessity of collaborative content management tools that are tailored to the content’s nature.

In addition to traditional viewing media, metadata that record the physical space from multiple perspectives will become extremely important in realizing interactive applications such as Virtual Reality (VR) and Augmented Reality (AR). This paper proposes the Software Defined Media (SDM) Ontology designed to describe spatio-temporal media and the systems that handle them comprehensively. Spatio-temporal media refers to video, audio, and various sensor values recorded together with time and location information. The SDM Ontology can flexibly and precisely represent spatio-temporal media, equipment, and functions that record, process, edit, and play them, as well as related semantic information. In addition, we recorded classical and jazz concerts using many video cameras and audio microphones, and then processed and edited the video and audio data with related metadata. Then, we created a dataset using the SDM Ontology and published it as linked open data (LOD). Furthermore, we developed "Web 360 2 ", an application that enables users to interactively view and experience 360 ∘ video and spatial acoustic sounds by referring to this dataset. We conducted a subjective evaluation by using a user questionnaire. Web 360 2 is a data-driven web application that obtains video and audio data and related metadata by querying the dataset. [ABSTRACT FROM AUTHOR]

Due to the everchanging and evergrowing nature of programming technologies, the gap between the programming industry's needs and the educational capabilities of both formal and informal educational environments has never been wider. However, the need to learn computer programming has never been greater, regardless of the motivation behind it. The number of programming concepts to be taught is increasing over time, while the amount of time available for education and training usually remains the same. The objective of this research was to analyze the source codes used in many educational systems to teach fundamental programming concepts to learners, regardless of their prior experience in programming. A total of 25 repositories containing 3882 Python modules were collected for the analysis. Through self-organization of the collected content, we obtained very compelling results about code structure, distribution, and differences. Based on those results, we concluded that Self-Organizing Maps are a powerful tool for both content and knowledge management, because they can highlight problems in the curriculum's density as well as transparently indicate which programming concepts it has successfully observed and learned to recognize. Based on the level of transparency exhibited by Self-Organizing Maps, it is safe to say that they could be used in future research to enhance both human and machine learning of computer programming. By achieving this level of transparency, such an Artificial Intelligence system would be able to assist in overall computer programming education by communicating what should be taught, what needs to be learned, and what is known. [ABSTRACT FROM AUTHOR]

Managing and evolving a chatbot’s content is a laborious process and there is still a lack of standardization. In this context of standardization, the absence of a management process can lead to bad user experiences with a chatbot. This work proposes the Chatbot Management Process, a methodology for content management on chatbot systems. The proposed methodology is based on the experiences acquired with the development of Evatalk, the chatbot for the Brazilian Virtual School of Government. The focus of this methodology is to evolve the chatbot content through the analysis of user interactions, allowing a cyclic and human-supervised process. We divided the proposed methodology into three distinct phases, namely, manage, build, and analyze. Moreover, the proposed methodology presents a clear definition of the roles of the chatbot team. We validate the proposed methodology along with the creation of the Evatalk chatbot, whose amount of interactions was of 22,771 for the 1,698,957 enrolled attendees in the Brazillian Virtual School of Government in 2020. The application of the methodology on Evatalk’s chatbot brought positive results: we reduced the chatbot’s human hand-off rate from 44.43% to 30.16%, the chatbot’s knowledge base examples increased by 160% whilst maintaining a high percentage of confidence in its responses and keeping the user satisfaction collected in conversations stable.

Objective: Identifying the status of Iranian digital library software in terms of the use of various content management and user portlets.Methodology: This is an applied research done as a heuristic survey. The research was conducted to evaluate the capabilities of various portlets in the field of digital library management in two general areas of content management (collection process management, content production management, classification management, documentation management, loading management, content indexing management, link management and news management) and user management (user management, staff management and user security management) are used in digital library software. Statistical population of the study consists of five Digital Library Softwares Pars Azarsa, Simorgh, Tebyan, and Parwan Farakavash produced by five major library software companies in Iran (Pars Azarakhsh, Nosa, Tebyan, kavash, and Parvanpajooh). Their software products and know-how have matured over time in tandem with technological advancements in their field, with critical inputs from field experts, associated companies, organizations and institutions. They, in the recent ten years, have undertaken many landmark projects that include database and archive automation for their clients. Their knowledge base and software products are unsurpassed in the field of digital data management for libraries and document centers, and this includes the full spectrum of related requirements. All their software products are web based, integrated and user friendly Some of their major clients include the governmental institutions, private companies, national libraries and universities. The needed data was collected using a researcher-made check-list. Different types of descriptive statistical techniques in collaboration with Kolmogorov–Smirnov test, Shapiro-Wilk test and Kruskal-Wallis H test were used for analyzing the data.Findings: In terms of content management, Simorgh had the best performance. The statistical population had the best performance in the "category management" section of the content management field and the weakest performance in the "link management" section. In the field of user management, "Azarsa" had the best performance. The statistical community had the weakest performance in this area in the "forum management" section. Test of research hypotheses showed that there is no significant difference between the digital library software in the use of content management portals and user management.Conclusion: The performance of the statistical population was evaluated for 114 management portlets. The statistical population in the field of content management according to the check-list had an average performance of 80 percent and the average performance of the statistical population in the field of user management was below 63 percent, among which even "Farakavash" and "Parvan" had a performance below 50 percent. Therefore, in general comparison, it was concluded that the statistical community in the field of content management has performed better than user management.

In addition to traditional viewing media, metadata that record the physical space from multiple perspectives will become extremely important in realizing interactive applications such as Virtual Reality (VR) and Augmented Reality (AR). This paper proposes the Software Defined Media (SDM) Ontology designed to describe spatio-temporal media and the systems that handle them comprehensively. Spatio-temporal media refers to video, audio, and various sensor values recorded together with time and location information. The SDM Ontology can flexibly and precisely represent spatio-temporal media, equipment, and functions that record, process, edit, and play them, as well as related semantic information. In addition, we recorded classical and jazz concerts using many video cameras and audio microphones, and then processed and edited the video and audio data with related metadata. Then, we created a dataset using the SDM Ontology and published it as linked open data (LOD). Furthermore, we developed “Web3602”, an application that enables users to interactively view and experience 360∘ video and spatial acoustic sounds by referring to this dataset. We conducted a subjective evaluation by using a user questionnaire. Web3602 is a data-driven web application that obtains video and audio data and related metadata by querying the dataset.

Copyright of Agricultural Outlook (1673-3908) is the property of Institute of Agricultural Information, Chinese Academy of Agricultural Sciences 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.)

Copyright of Bio-grafía. Escritos Sobre la Biología y su Enseñanza is the property of Universidad Pedaggica Nacional 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.)

Due to the everchanging and evergrowing nature of programming technologies, the gap between the programming industry’s needs and the educational capabilities of both formal and informal educational environments has never been wider. However, the need to learn computer programming has never been greater, regardless of the motivation behind it. The number of programming concepts to be taught is increasing over time, while the amount of time available for education and training usually remains the same. The objective of this research was to analyze the source codes used in many educational systems to teach fundamental programming concepts to learners, regardless of their prior experience in programming. A total of 25 repositories containing 3882 Python modules were collected for the analysis. Through self-organization of the collected content, we obtained very compelling results about code structure, distribution, and differences. Based on those results, we concluded that Self-Organizing Maps are a powerful tool for both content and knowledge management, because they can highlight problems in the curriculum’s density as well as transparently indicate which programming concepts it has successfully observed and learned to recognize. Based on the level of transparency exhibited by Self-Organizing Maps, it is safe to say that they could be used in future research to enhance both human and machine learning of computer programming. By achieving this level of transparency, such an Artificial Intelligence system would be able to assist in overall computer programming education by communicating what should be taught, what needs to be learned, and what is known.

Concerns about teaching structured authoring, which is the use of software in technical writing to allow automatic textual reuse and reassembly, have been woven into the debate about what role technologies should play in preparing technical writing students for ‘real world’ needs since the late 1990s (see Brumberger & Laurer, 2015; Carnegie & Crane, 2019; Kimball, 2015; Rainey et al., 2018). Vee (2017) and others have argued that fundamental aspects of writing software code, many of which parallel structured authoring, are now required literacies. Indeed, as Gentle (2017) demonstrates, the difference between those writing code and those writing structured authoring continues to shrink. Helping to develop technical writers to understand this overlap remains a significant challenge. This article suggests that this challenge might be met by using an open-source interactive fiction authoring platform called Twine, which provides many of the building blocks of structured authoring while teaching fundamental aspects of coding. However, this approach is not without its perils. Through analyzing the findings of a two-year study, this article identifies potential avenues for success as well as potential pitfalls to be mindfully considered. [ABSTRACT FROM AUTHOR]

Copyright of Management & Quality / Zarządzanie i Jakość is the property of Scientific Society of Organization & Management / Towarzystwo Naukowe Organizacji i Kierownictwa 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.)

Purpose The purpose of this paper is to review and analyze the management, pattern of “Digital Content” based on research published and represent an overview of subjects, methodologies, contexts, and other features which are highlighted in these works.Method: In this study, the systematic literature review was undertaken by retrieving the studies related to “Digital Content Management” published in February 2021 on several databases. Various information of papers collected became the basis for synthesis and analysis. In addition, all the studies were qualitatively evaluated for measuring the validity of researches to present in the synthesis by Evidence-Based Librarianship (EBL) critical appraisal checklist.Findings: the systematic review presents a systematic framework based on research' items in the “Digital Content Management” field. The items include research methodology, a data-gathering tool, and other elements.Conclusion: The hidden subjects in the literature review were extracted and classified. Finally, based on these classes and other extracted information, the goal of the paper was achieved.

Introduction. The field of augmented reality (AR) is growing rapidly and has great advances in interaction, navigation and tracking. Nowadays there are a lot of trends for AR applications in different areas (education, entertainment, business, medicine, etc.). However, there is a lack of research to provide the evaluating AR apps framework to support developers when creating suitable AR applications for specific needs. We provide a practical approach to quantify some of the AR applications features. We focus on the development of criteria for evaluating augmented reality applications. We discuss the criteria of choosing dimensions for that space such as standards for AR, tools for AR development, navigation and tracking, content management, usability. We provide analysis and evaluation of AR apps through each characteristic using guidelines which we have developed.Materials and Methods. An AR application is a software application that integrates digital visual, audio and other types of content into a real-world environment. The software quality and performance are the main characteristics of the application, which are key factors for AR applications. The analysis of scientific papers, documents and standards made it possible to determine characteristics that are the most significant quality indicators based on well-grounded users’ needs and demands.Results. The criteria we have developed for evaluating applications with augmented reality enable developers to create their own software products in stages, based on step-by-step requirements for them, evaluating the development process by characteristics. This approach will allow you to create high-quality software products using standardized, modern development tools.Discussion and Conclusions. In addition, developers will have a detailed understanding of each stage of creating the application and the necessary development tools and technologies to obtain the highest quality result. That will give an opportunity to decide on specific development tools, methods, models and technologies before starting work on a project. As a result, it will provide the final high-quality software product with good extensibility and compliance with the modern requirements of the digital industry market.

In times of constant and accelerated changes, the current business environment is characterized by the need to introduce knowledge in the activities developed. Organizations recognize that knowledge factors have a significant impact or added value on business performance. It is because of this need that a study on the production of spirits (aguardiente) under the case study methodology is presented in this article, by presenting a conceptual framework, research dynamics and literature review. This allows providing a theory as a proposed solution to the use, transfer and conservation of knowledge, recognition of information flows, storage and dissemination policies for the production of spirits. The proposal allows validating the theory of infoknowledge and incorporating to it a new technological tool that guarantees the integral treatment of the functionalities foreseen in the infoknowledge model, with this, the process of spirits ensures advance processing, data mining, content management, process monitoring, notifications and the operation of the network of experts

Firm‐wide integrated organisational applications such as intranets, enterprise portals, content repositories, and wikis are often instrumental in supporting knowledge work. Serving as centralised "containers" of codified content that facilitate knowledge work, one essential requirement is continuous reuse and management of codified content. In this paper, our investigation aims to determine suitable perspectives to manage codified content, by focusing on one specific integrated organisational infrastructure application, namely intranets. Findings from three case studies identified three modes to manage codified content for knowledge work for enterprise content systems and are: (a) shared, (b) controlled, and (c) informal. In addition, based on the three modes (or ways), findings also highlight four elements that impact the management of codified content for knowledge work, that is, (a) content contributions, (b) content sharing, (c) access to expertise, and (d) control of codified content. [ABSTRACT FROM AUTHOR]

Facing an unprecedented explosion of digital content, many organisations have been left with a large repository of unstructured information. Huge volumes of electronic content have been captured and stored within organisations’ repositories, depriving organisations of the ability to analyse this data properly. As a result, many organisations are facing crucial problems, such as (1) employees wasting 30% of their time looking for relevant information; (2) operational and maintenance cost increases to handle large amounts of data; and (3) loss of opportunities to gain a strategic advantage through proper analysis of organisational data. To overcome these problems, the Enterprise Content Management System (ECMS) was introduced in the early 2000s. Having been researched for a period of 25 years, most prior studies on ECMS focus on a bottom-up approach with the intention of achieving immediate benefits such as cost-reduction, meaningful knowledge work and re-use of previous content. A top-down approach that aims to improve decision-making, resource allocation and competitive intelligence are ignored due to a lack of awareness about the importance of such benefits. Therefore, this research will explore the relationship between ECMS and how it can facilitate decision-making processes. Grounded on previous literature, the contributions of this paper are as follows: first, the paper provides insight into the research from the perspective of ECMS; second, the paper proposes a research model for further exploration of the topic; finally, implications and future directions for research is outlined.

Social networking sites and mobile communication have progressively encouraged the proliferation of certain surveillance and control practices employed by users on a daily basis. Platforms like Facebook and Instagram and devices such as mobile phones have normalised forms of horizontal surveillance, which have begun to be accepted by citizens as the norm. Thus, this paper examines a series of lateral and social surveillance practices that demonstrate a more deliberate and reprehensible behaviour on the part of users by focusing on the conflicts arising from the lack of privacy and control and the deficient management of inappropriate or annoying content in the social networking site environment. To this end, 311 students of the Universidad de Sevilla aged between 18 and 26 were asked to fill in a questionnaire. The survey results show that the majority of the respondents acknowledged having felt being spied on social networking sites, as well as having ended up at loggerheads with acquaintances as a consequence of having shared personal content with others. Lastly, it is apparent that, despite present concerns about the absence of privacy and control and inappropriate or annoying content, users believe that these are risks well worth running for the sake of sharing on social media.