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This study aims to understand how organizations in the service industry can encourage the use of enterprise social networks (ESNs) for knowledge sharing, focusing on the concepts of intra-organizational trust and governance.

The authors gathered data through an online survey of 104 participants from the financial services industry. Data were analyzed using structural equation modelling to test the proposed model and evaluate the constructs’ reliability and validity.

The findings of the survey data indicate that intra-organizational trust and governance are related to the use of ESN for knowledge sharing to enhance service innovation. Further, the findings suggest that, although trust directly affects service innovation, using ESN for knowledge sharing partially mediates the relationship between trust and service innovation. The findings also reveal that governance significantly moderates the relationship between ESN for knowledge sharing and innovation.

This paper provides insights into the relationship between trust, knowledge sharing and innovation. The novelty of this study demonstrates that governance strengthens the relationship between ESN for knowledge sharing and innovation. Further, the study suggests that firms using or intending to use ESNs could keep track of the evolving nature of ESNs, develop an open culture and create a trusted environment in their organizations.

The use of generative artificial intelligence (genAi) language models such as ChatGPT to write assignment text is well established. This paper aims to assess to what extent genAi can be used to obtain guidance on how to avoid detection when commissioning and submitting contract-written assignments and how workable the offered solutions are.

Although ChatGPT is programmed not to provide answers that are unethical or that may cause harm to people, ChatGPT’s can be prompted to answer with inverted moral valence, thereby supplying unethical answers. The authors tasked ChatGPT to generate 30 essays that discussed the benefits of submitting contract-written undergraduate assignments and outline the best ways of avoiding detection. The authors scored the likelihood that ChatGPT’s suggestions would be successful in avoiding detection by markers when submitting contract-written work.

While the majority of suggested strategies had a low chance of escaping detection, recommendations related to obscuring plagiarism and content blending as well as techniques related to distraction have a higher probability of remaining undetected. The authors conclude that ChatGPT can be used with success as a brainstorming tool to provide cheating advice, but that its success depends on the vigilance of the assignment markers and the cheating student’s ability to distinguish between genuinely viable options and those that appear to be workable but are not.

This paper is a novel application of making ChatGPT answer with inverted moral valence, simulating queries by students who may be intent on escaping detection when committing academic misconduct.

The competition in the academe has always been tough, but today, the academe seems to be more like an industry than an academic community as academics are evaluated through quantified and economic means.

This article leans on Heidegger’s thoughts on the essence of technology and his ontological view on being to show the dangers that lie in this quantification of researchers and research.

Despite the benefits that information systems (ISs) offer to people and research, it seems that technology has made it possible to objectify researchers and research. This has a negative impact on the academe and should thus be looked into especially by the IS field, which should note the problems that exist in its core. This phenomenon of quantified academics is clearly visible at academic quantification sites, where academics are evaluated using metrics that count their output. It seems that the essence of technology has disturbed the way research is valued by emphasising its quantifiable aspects. The study claims that it is important to look for other ways to evaluate researchers rather than trying to maximise research production, which has led to the flooding of articles that few have the time or interest to read.

This paper offers new insights into the current phenomenon of quantification of academics and underlines the need for critical changes if in order to achieve the academic culture that is desirable for future academics.

This study addresses how algorithmic recommendations and their affordances shape everyday information practices among young people.

Thematic interviews were conducted with 20 Finnish young people aged 15–16 years. The material was analysed using qualitative content analysis, with a focus on everyday information practices involving online platforms.

The key finding of the study is that the current affordances of algorithmic recommendations enable users to engage in more passive practices instead of active search and evaluation practices. Two major themes emerged from the analysis: enabling not searching, inviting high trust, which highlights the how the affordances of algorithmic recommendations enable the delegation of search to a recommender system and, at the same time, invite trust in the system, and constraining finding, discouraging diversity, which focuses on the constraining degree of affordances and breakdowns associated with algorithmic recommendations.

This study contributes new knowledge regarding the ways in which algorithmic recommendations shape the information practices in young people's everyday lives specifically addressing the constraining nature of affordances.

The shortage of organ donors is an under-researched global issue that demands immediate attention. This attention should begin at the government level and related organizations. In Malaysia, the shortage of organ donations has been a pressing issue faced by the Ministry of Health Malaysia (MOH) for a considerable length of time. In reaction to this issue, the MOH deployed the Organ Donation Awareness Strategic Campaign Plan by using the platform of social media to disseminate information regarding organ donation to the public. However, the number of registrations is still low among Malaysians. Moreover, the observation from the literature shows that there are limited studies which have been initiated to focus on social media in the context of organ donation campaigns.

The quantitative research design has been used to understand the issue. Three hundred and eighty-four completed questionnaires were collected from the target sample, which comprised university students in Malaysia. For this study, partial least squares structural equation modelling was used for data analysis.

The result shows that information usefulness is vital because it will lead individuals to adopt organ donation information on social media. More specifically, predictors that positively influence youth or university students to accept information as useful are visual information, information sharing, accessibility of information, needs of information and attitude towards information. Subsequently, information usefulness positively influences information adoption. In the meantime, information quality and credibility do not significantly affect information usefulness.

The findings of this study may assist MOH or interested parties in designing a sound marketing strategy in the context of organ donation promotion by providing empirical evidence.

The study provides empirical evidence about information characteristics in the context of organ donation promotion.

Research on online user privacy shows that empirical evidence on how privacy literacy relates to users' information privacy empowerment is missing. To fill this gap, this paper investigated the respective influence of two primary dimensions of online privacy literacy – namely declarative and procedural knowledge – on online users' information privacy empowerment.

An empirical analysis is conducted using a dataset collected in Europe. This survey was conducted in 2019 among 27,524 representative respondents of the European population.

The main results show that users' procedural knowledge is positively linked to users' privacy empowerment. The relationship between users' declarative knowledge and users' privacy empowerment is partially supported. While greater awareness about firms and organizations practices in terms of data collections and further uses conditions was found to be significantly associated with increased users' privacy empowerment, unpredictably, results revealed that the awareness about the GDPR and user’s privacy empowerment are negatively associated. The empirical findings reveal also that greater online privacy literacy is associated with heightened users' information privacy empowerment.

While few advanced studies made systematic efforts to measure changes occurred on websites since the GDPR enforcement, it remains unclear, however, how individuals perceive, understand and apply the GDPR rights/guarantees and their likelihood to strengthen users' information privacy control. Therefore, this paper contributes empirically to understanding how online users' privacy literacy shaped by both users' declarative and procedural knowledge is likely to affect users' information privacy empowerment. The study empirically investigates the effectiveness of the GDPR in raising users' information privacy empowerment from user-based perspective. Results stress the importance of greater transparency of data tracking and processing decisions made by online businesses and services to strengthen users' control over information privacy. Study findings also put emphasis on the crucial need for more educational efforts to raise users' awareness about the GDPR rights/guarantees related to data protection. Empirical findings also show that users who are more likely to adopt self-protective approaches to reinforce personal data privacy are more likely to perceive greater control over personal data. A broad implication of this finding for practitioners and E-businesses stresses the need for empowering users with adequate privacy protection tools to ensure more confidential transactions.

This research paper aims to examine the influence of greater female participation on the board of directors on the environmental transparency of companies.

To achieve the purpose of this study, the authors analyzed the environmental transparency of 412 companies in the energy sector, headquartered in 19 countries, during a four-year period (2016 to 2019).

The data reveal that gender diversity has a positive effect on the environmental transparency of companies in developed countries and on the total model. Furthermore, after removing the US companies, the results remained the same, indicating that companies with more women on the board tend to have greater environmental transparency. Regarding corporate governance variables, the results show that companies that have a corporate social responsibility committee tend to have greater environmental transparency, both in emerging countries and in developed countries.

The findings indicate that if companies aim to have greater environmental transparency, they must encourage female participation on boards, giving them equal opportunities for professional growth. Organizations must deconstruct the ideology that women are fewer valuable members of their boards, which limits their contribution to organizational success. Additionally, regulators can encourage greater female participation on boards through the implementation of quota laws.

The authors’ evidence indicates that the presence of women on board is an antecedent of greater quality in the dissemination of environmental information. Thus, managers of companies in the energy sector must understand that diversity on the board affects communication with its stakeholders through environmental transparency.

This study aims to examine the relationship between carbon reduction initiatives and financial performance. Additionally, it explores potential moderating variables, such as corporate social responsible (CSR) strategy and corporate governance practices, that may strengthen the link between carbon reduction initiatives and financial performance.

The empirical analysis is conducted using 1,740 firm-year observations from UK firms listed on the FTSE 350. Data on carbon emissions and firm-specific characteristics are obtained from the Refinitiv Eikon database for the period 2011–2020. Various econometric techniques, including ordinary least squares and system generalized method of moments, are used to examine the relationship between carbon reduction initiatives and financial performance. Additionally, alternative samples are used to further explore this relationship.

The author observes a significantly positive association between carbon reduction initiatives and financial performance in this study. Additionally, the significance of this relationship is found to be present specifically after the announcement of the Paris Agreement. Furthermore, a channel analysis reveals that moderating factors like CSR strategy and corporate governance quality influence this relationship.

The study underscores the importance of carbon reduction initiatives for sustainable business growth and financial performance. Managers can use these insights to prioritize investments in sustainable practices. Policymakers should consider implementing supportive regulations to incentivize companies to adopt carbon reduction strategies.

This study adds value to the existing body of literature by empirically examining the moderating role of CSR strategy and best corporate governance practices in the relationship between carbon reduction initiatives and financial performance. The findings contribute to a deeper understanding of how these factors interact and influence the outcomes.

Websites, search engines, recommender systems, artificial intelligence and digital libraries have the potential to support serendipity for unexpected interaction with information and ideas which would lead to favored information discoveries. This paper aims to explore the current state of research into serendipity particularly related to information encountering.

This study provides bibliometric review of 166 studies on serendipity extracted from the Web of Science. Two bibliometric analysis tools HisCite and RStudio (Biblioshiny) are used on 30 years of data. Citation counts and bibliographic records of the papers are assessed using HisCite. Moreover, visualization of prominent sources, countries, keywords and the collaborative networks of authors and institutions are assessed using RStudio (Biblioshiny) software. A total of 166 papers on serendipity were found from the period 1989 to 2022, and the most influential authors, articles, journals, institutions and countries among these were determined.

The highest numbers of 11 papers were published in the year 2019. Makri and Erdelez are the most influential authors for contributing studies on serendipity. “Journal of Documentation” is the top-ranking journal. University College London is the prominent affiliation contributing highest number of studies on serendipity. The UK and the USA are the prominent nations contributing highest number of research. Authorship pattern for research on serendipity reveals involvement of single author in majority of the studies. OA Green model is the most preferred model for archiving of research articles by the authors who worked on serendipity. In addition, majority of the research outputs have received a citation ranging from 0 to 50.

To the best of the authors’ knowledge, this paper may be the first bibliometric analysis on serendipity research using bibliometric tools in library and information science studies. The paper would definitely open new avenues for other serendipity researchers.

Key to transnational higher education (HE) cooperation is building trust to allow for seamless recognition of studies. Building on the Tuning Educational Structures initiative (2001) and lessons learnt from the Organisation for Economic Cooperation and Development (OECD)-Assessment of Learning Outcomes in Higher Education (AHELO) feasibility study, this paper offers a sophisticated approach developed by the European Union (EU)-co-financed project Measuring and Comparing Achievements of Learning Outcomes in Europe (CALOHEE). These evidence the quality and relevance of learning by applying transparent and reliable indicators at the overarching and disciplinary levels. The model results allow for transnational diagnostic assessments to identify the strength and weaknesses of degree programmes.

The materials presented have been developed from 2016 to 2023, applying a bottom-up approach involving approximately 150 academics from 20+ European countries, reflecting the full spectrum of academic fields. Based on intensive face-to-face debate and consultation of stakeholders and anchored in academic literature and wide experience.

As a result, general (overarching) state-of-the-art reference frameworks have been prepared for the associated degree, bachelor, master and doctorate, as well as aligned qualifications reference frameworks and more detailed learning outcomes/assessment frameworks for 11 subject areas, offering a sound basis for quality assurance. As a follow-up, actual assessment formats for five academic fields have been developed to allow for measuring the actual level of learning at the institutional level from a comparative perspective.

Frameworks as well as assessment models and items are highly innovative, content-wise as in the strategy of development, involving renown academics finding common ground. Its value is not limited to Europe but has global significance. The model developed, is also relevant for micro-credentials in defining levels of mastery.