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Senior executives and leaders of public sector institutions (PSIs) are responsible for the development, preservation or restoration of employee integrity (EI). This conceptual paper aims to address the direct impact of EI on work performance (WP). It also explores the interceding effects of job satisfaction (JS) and employee organisational identification (OI) and the context-conditional impact of purposeful leadership (PL).

This research builds a research framework coupled with suppositions by integrating literature from both theoretical and empirical works in the fields of integrity management, human resource management, performance management and leadership using a systematic literature review approach. Firstly, the authors explicitly express the authors’ list of goals through replicable design. Secondly, the authors find all research papers that would satisfy the requirements for inclusion. Thirdly, the authors evaluate the truthfulness of the results from the incorporated research, and, finally, the authors offer a summary and synthesis of the features and outcomes of the incorporated research.

This study finds that EI will be favourably linked to WP, and this encouraging connection will be favourably interceded by JS and OI, both independently and together. Also, PL will favourably moderate the EI–JS connection as well as the EI–OI linkage.

This study provides a novel framework for specialists and academics in four multidisciplinary fields for improving the EI and WP of employees using JS and OI as strategic devices. It also considers the conditional influence of PL, which has been underexploited in the academic sphere. Thus, this research sets the stage for forthcoming academics to investigate this research framework empirically in diverse PSIs worldwide.

To guarantee that PSIs draw, grow and preserve workers who symbolise the beliefs of the institution, their leadership must uphold a “values-grounded approach” to all facets of its human resource practises – comprising recruitment, performance appraisals, training, leadership development platforms and promotions.

This study reveals the importance of improving integrity in PSIs and the diverse mechanisms through which EI translates into WP. It also highlights the possible benefits that purposeful leaders can offer as well as the problems that they can potentially help mitigate.

This research adds to the sparse literature on the construct of PL within PSIs’ settings and offers a new conceptual model for boosting employee WP through the facilitating roles of JS and OI, both separately and together.

The role of academic libraries in dissemination of information and facilitating research of academic community is well-established world over. However, a significant role of libraries in ensuring fair use of information to promote an ethical research culture at the higher education institutes is also flourishing. This study aims to explore the perceived causes of unethical use of literature by university scholars and deterrents to plagiarism in universities of Pakistan.

The design of the study was qualitative, and interviews were conducted on nine university library heads in Pakistan who were officially administrating anti-plagiarism (Turnitin) software service at their universities and were providing “similarity index certification” of PhD and MPhil research work through the software. They were purposively selected for the interviews because of their direct interaction with the researchers and faculty on matters of information searching as well as its ethical use. The study is based on PhD thesis work of the first author.

The findings of the study depicted that conceptual unawareness of plagiarism, lack of information skills, socio-cultural factors and weak policies were the prime reasons for unethical research practices among graduate scholars. Participants were positive that a role of university library in combating plagiarism through provision of anti-plagiarism software and guidance could prove more beneficial for both the researchers and libraries.

Multiple studies have been conducted, in and out of south Asian region, to gather the views of the students and faculty on the matters of academic misconduct. However, no study was found presenting the views of the other stakeholders in promotion of academic integrity. To the best of the authors’ knowledge, this study is first of its kind in South Asian context and provided observation-based views of a group of university library heads who are also administrating anti-plagiarism service in their universities on the causes and deterrents to plagiarism.

This research aims to explore the research data ethics governance framework and collaborative network to optimize research data ethics governance practices, to balance the relationship between data development and utilization, open sharing, data security and to reduce the ethical risks that may arise from data sharing and utilization.

This study explores the framework and collaborative network of research data ethics policies by using the UK as an example. 78 policies from the UK government, university, research institution, funding agency, publisher, database, library and third-party organization are obtained. Adopting grounded theory (GT) and social network analysis (SNA), Nvivo12 is used to analyze these samples and summarize the research data ethics governance framework. Ucinet and Netdraw are used to reveal collaborative networks in policy.

Results indicate that the framework covers governance context, subject and measure. The content of governance context contains context description and data ethics issues analysis. Governance subject consists of defining subjects and facilitating their collaboration. Governance measure includes governance guidance and ethics governance initiatives in the data lifecycle. The collaborative network indicates that research institution plays a central role in ethics governance. The core of the governance content are ethics governance initiatives, governance guidance and governance context description.

This research provides new insights for policy analysis by combining GT and SNA methods. Research data ethics and its governance are conceptualized to complete data governance and research ethics theory.

A research data ethics governance framework and collaborative network are revealed, and actionable guidance for addressing essential aspects of research data ethics and multiple subjects to confer their functions in collaborative governance is provided.

This study analyzes policy text using qualitative and quantitative methods, ensuring fine-grained content profiling and improving policy research. A typical research data ethics governance framework is revealed. Various stakeholders' roles and priorities in collaborative governance are explored. These contribute to improving governance policies and governance levels in both theory and practice.

This study aims to assess the scholarly communication competence of Zambian library and information science (LIS) professionals by evaluating their awareness, knowledge and practices regarding scholarly publication.

Applying a quantitative research approach, the study used a specially designed questionnaire. Responses from 57 professionals across universities and colleges in Zambia were gathered using convenience sampling. Data analysis involved descriptive statistics, mean and standard deviation calculations and t-values and p-values to understand respondents’ perceptions and knowledge of scholarly communication and publication.

The findings revealed significant gaps in respondents’ knowledge and awareness, particularly regarding predatory journals, journal selection factors, open-access models, publication challenges, reference management software (RMS) usage and research obstacles. The study underscored the necessity for increased training and capacity-building initiatives among Zambian LIS professionals to enhance their scholarly communication competence.

This research contributed to the field by highlighting deficiencies in scholarly communication awareness among Zambian LIS professionals. It emphasised the need for targeted interventions, awareness programs and educational support to improve academic literacy and scholarly publication practices. Additionally, the study suggested future research avenues, such as longitudinal studies and strategies for enhancing RMS adoption, to advance scholarly practices among Zambian professionals further.

This study aims to understand the research data management (RDM) services offered by academic libraries in South Asian and Southeast Asian countries. This study aims to evaluate the library and information science professionals’ required RDM skills and the challenges faced with providing RDM services.

The research methodology for this study used a survey method with purposive sampling. Data were collected through online structured questionnaires, which were used to examine the current state of RDM services offered in academic libraries in South Asia and Southeast Asia.

South Asian and Southeast Asian region major types of RDM services provided were data repository, data management training, maintaining Web resources, data study and analysis, and promoting awareness of reusable data sources. Little attention was given to advisory services on data analysis/mining/visualization and supporting reproducibility and workflow transparency. The results indicated that most respondents agreed that metadata standards and data management planning skills were required for RDM services in South Asia and Southeast Asia.

This study is significant because it offers a comprehensive assessment of ongoing RDM services in academic libraries of South Asia and Southeast Asia. Most current literature focuses on best practices in developed nations. This study highlights the need for more competent and dedicated academic staff for effective RDM services. Library professionals can use this study to identify the gaps in RDM services and suggest formative measures to overcome such challenges.

This paper aims to look at the implementation of project-funded research governance and its potential to induce organisational learning on responsible research and innovation (RRI). This paper analysed what types of organisational learning and change can take place within organisations of an Europe-funded project and to what extent. This paper examined whether and how change occurs and how it is shaped and co-produced with other orderings.

The paper is based on materials and evidence collected while working on the internal evaluation of a Horizon 2020-funded project. Analysis of the results of the mixed methods evaluation design was used to characterise occurrences of organisational learning and change.

The authors identified different forms of learning (single-loop learning, double-loop learning, reflexive and reflective learning and situational learning). The extent of learning that could lead to long-lasting organisational change was limited. This was due to the project-based and organisational design, the key-based definition of RRI and the indeterminacy of what constitutes learning and change – both at the level of funding and performing the project. For organisational change to occur, the authors argue for governance mechanisms based on reflexive learning that consider a range of structural conditions and measures.

Organisational learning plays an important role in change processes, which has so far been given too little consideration concerning the governance and implementation of RRI through project-based funding. The authors argue for a restructuring of governance and funding mechanisms to create more space for reflexivity and learning.

This study aims to address a systematic literature review (SLR) using bibliometrics on the relationship between academic integrity and artificial intelligence (AI), to bridge the scattering of literature on this topic, given the challenge and opportunity for the educational and academic community.

This review highlights the enormous social influence of COVID-19 by mapping the extensive yet distinct and fragmented literature in AI and academic integrity fields. Based on 163 publications from the Web of Science, this paper offers a framework summarising the balance between AI and academic integrity.

With the rapid advancement of technology, AI tools have exponentially developed that threaten to destroy students' academic integrity in higher education. Despite this significant interest, there is a dearth of academic literature on how AI can help in academic integrity. Therefore, this paper distinguishes two significant thematical patterns: academic integrity and negative predictors of academic integrity.

This study also presents several contributions by showing that tools associated with AI can act as detectors of students who plagiarise. That is, they can be useful in identifying students with fraudulent behaviour. Therefore, it will require a combined effort of public, private academic and educational institutions and the society with affordable policies.

This study proposes a new, innovative framework summarising the balance between AI and academic integrity.

The present study purports to unravel the mechanism in relationship among leadership behaviour integrity, organisational career development and employee engagement. Further, it also aims to understand if the employee feedback self-efficacy has any moderating influence on the relationship between leader behavioural integrity and organisational career development.

Pre-existing questionnaires are used for collecting data from a total of 417 employees working in the information technology industry operating within India. Analysis of the data is done using structural equation modelling technique.

Results of the study show that organisational career development partially mediates the relationship between leadership behavioural integrity and employee engagement. It is also found that feedback self-efficacy plays a moderating role in the relationship between leadership behavioural integrity and organisational career development.

The study helps to understand the mechanism of the relationship between leadership behavioural integrity and employee engagement through organisational career development with the support of ethical theory and social exchange theory. It also shows the moderating role played by feedback self-efficacy in the relationship between leadership behavioural integrity and organisational career development using social learning perspective.

The purpose of this study is to examine characteristics of retracted publications from Indian authors and inspect a relationship between journal impact factor (JIF) and the number of authors (NoA).

The authors examined the general characteristics of retracted publications and investigated the correlation between JIF and NoA from Indian authors from January 1, 2017, to December 31, 2022. Data were mined from retraction watch http://retractiondatabase.org/ (n = 1,459) and determined the year of publication, year of retraction, authors, journals, publishers and causes of the retractions. A journal citation report was extracted to gather the JIFs.

About one-third of retracted papers were published in 2020; 2022 has the highest retraction rate (723); studies with two authors represent about one-third (476) of the published articles; Journal of Ambient Intelligence and Humanized Computing (354) has the highest number of retractions; Springer published the most retracted papers (674); and the majority of the journal (1,133) is indexed in journal citation reports, with impact factor extending from 0.504 to 43.474. Retraction due to legal reasons/legal threats was the most predominant reason for retraction.

This study reflects growth in author collaborations with a surge in the JIF. This study recommends that quick retraction is essential to reduce the adverse effects of faulty research.

This study aims to explore the factors that contribute to student academic dishonesty through an examination of the misuse of AI language models. Using the fraud triangle theory, which posits that opportunity, rationalization and pressure are key factors for fraudulent behavior, this study investigates how these elements interact and contribute to academic dishonesty among students.

In this study, data on how accounting students used ChatGPT to cheat was acquired from 279 accounting students in Jordanian public universities over the course of two months, from January 2023 to March 2023, through previously tested and validated questionnaires. The main tool for gathering data was a questionnaire distributed online using Microsoft Forms.

The results show that all of the fraud triangle factors are significant determinants of student academic dishonesty and student misuse of ChatGPT. The findings of this research can be used to guide the development of technology-based preventative measures.

This study provides valuable insights into the motivations and factors that drive students to engage in academic dishonesty and sheds light on the broader issue of technology-assisted academic dishonesty and its impact on the educational system. This study’s contribution is significant, as it sheds light on a pressing issue in education and provides valuable information for educators and policymakers to address the problem and improve academic standards.