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The purpose of this study was to understand knowledge-sharing behavior of nonacademic staff. In relation to the theory of reasoned action (TRA), the study investigated demographic characteristic differences in attitude, subjective norms, behavioral intention and knowledge-sharing behavior of nonacademic staff from India and the United Arab Emirates (UAE).

The study used a survey method and questionnaire instrument to collect data from 467 participants. The participants were nonacademic staff working for two academic universities in India and the UAE. The two universities were Pondicherry University (266 respondents) and Al Ain University (201 respondents). The collected data were treated and analyzed using Microsoft Excel and SPSS software for statistical analyses and frequency distributions.

The findings of the study showed that nonacademic staff from India and the UAE have a positive attitude toward knowledge-sharing, subjective norms and positive behavioral intention and are frequently involved in knowledge-sharing behavior. In addition, the study’s findings indicated statistically significant demographic differences in attitude, subjective norms and behavior intense knowledge-sharing behavior of nonacademic staff from India and the UAE. Nonacademic participants from India expressed a higher positive attitude toward knowledge-sharing and demonstrated more involvement in knowledge-sharing behavior than the respondents from the UAE. The findings of the study accepted 8 out of 20 stated hypotheses. The accepted hypotheses support the TRA theory and suggest the impact of age, job position, tenure of work and geographical diversity on attitude, subjective norms, behavioral intention and knowledge-sharing behavior. The study’s results suggested that nonacademic staff of 50 and above age groups are more likely to share knowledge than the nonacademic staff of 49 and fewer age groups. Likewise, the findings of the study suggested that nonacademic staff with a long tenure of work experience are more likely to share their knowledge with their coworkers than those with a short tenure of work experience.

Studies targeting knowledge sharing among nonacademic staff are scarce as compared to academic staff and students. Nonacademic staff are different from students and academic staff in attitudes and behavior. This study contributes to the expansion of knowledge sharing through the investigation of knowledge-sharing behavior of nonacademic staff. Moreover, the study expands the understanding of knowledge-sharing behavior through the use of demographic characteristics in relation to the TRA theory. In addition, most of the previous studies are based on data collected from one country, and this study is based on data collected from two countries.

The purpose of this paper is to examine the current state of the literature on the variables associated with self-harm and aggression in women who committed a criminal offence.

Studies were identified through online databases, namely, PsycINFO, PubMed, ERIC and EBSCOhost, as well as manual searches of reference lists of the selected studies. The target population included women who committed a criminal offence and have engaged in self-harm and aggressive behaviors during their incarceration, either in correctional institutions or in forensic psychiatric settings.

Of the 1,178 studies identified, nine met inclusion criteria. The studies were conducted in six different countries and included data from 6360 female participants. Few studies examine self-harm and aggression in women who committed a criminal offence which speaks to the still sparse literature on this topic. This review of the association between self-harm and aggression in women offenders highlights the finding that a small group of women is often involved in both self-harm and aggression. The authors have identified possible psychological factors associated with women engaging in both self-harm and aggression. The findings also reveal a possible connection between types of aggressive behaviors and specific time periods during sentences or stays in forensic psychiatry.

The findings of this scoping review have clinical implications which may be considered by both researchers and the case management teams of women involved in both self-harm and aggression.

Despite the limited number of studies examining self-harm and aggression in women, this scoping review highlights gaps in the literature as well as notable psychological correlates of women who engage in self-harm and aggression.

This paper investigates the development of moralised business ideologies (MBIs) amongst sustainable banks as they navigate social and environmental business prospects.

Empirical evidence is drawn from top-management-level interviews with 16 UK-based small and medium-sized banks that specialise in financing social and environmental projects.

MBIs have emerged in the literature review and empirical data analysis as a new concept taken on by sustainable banks with roots closer to sustainability such as ethical practices, moralised values, sustainable business models and ecological standards. The results confirm that MBIs help banking institutions create a more sustained positive impact in terms of social and environmental business opportunities.

This paper offers novel evidence on the intersection between banking and MBIs, with a focus on social, sustainability and environmental considerations.

The purpose of this study is to raise awareness about the ethical implications of artificial intelligence (AI) in the library and information industry, specifically focusing on bias and discrimination. It aims to highlight the need for proactive measures to mitigate these issues and ensure that AI technology is developed and implemented in an ethical and unbiased manner.

This viewpoint paper presents a critical analysis of the ethical implications of bias and discrimination in the library and information industry with respect to AI. It explores current practices and challenges in AI implementation and proposes strategies to address bias and discrimination in AI systems.

The findings of this study reveal that bias and discrimination are significant concerns in AI systems used in the library and information industry. These biases can perpetuate existing inequalities, hinder access to information and reinforce discriminatory practices. This study identifies key strategies such as data collection and representation, algorithmic transparency and inclusive design to address these issues.

This study contributes to the existing literature by examining the specific challenges of bias and discrimination in AI implementation within the library and information industry. It provides valuable insights into the ethical implications of AI technology and offers practical recommendations for professionals to confront and mitigate bias and discrimination in AI systems, ensuring equitable access to information for all users.

This study aims to analyse student and teaching staff views on how higher education (HE) can contribute to sustainable development, and to provide examples of how a medical university has adopted the sustainable development goals (SDGs) as part of its institutional strategies and practises.

The study is based on participant views from a conference, which aimed to identify actions needed for HE to contribute to the SDGs. More than 500 students, teachers and academic leaders participated at workshops to discuss and reflect on the role of higher education institutions (HEIs) in sustainable development. The discussion key points were recorded on flipcharts, and the analysis builds on all written statements from the nine workshops. Based on the findings from the workshop, steering documents and activities of a medical university were identified as examples of implementation.

Two overarching interdependent themes were identified and indicated a need to rethink the role not only of HE per se but also that of HEIs at large, to meet the challenges of sustainable development. The study also provides an example of how such organizational change can be practically implemented at a medical university, through the establishment of overarching institutional strategies, funding opportunities and external collaborations.

The findings reflect a “bottom-up” call from students and educational staff for HEIs to step up and contribute to systems change – both through a change in pedagogies, as well as through an institution-wide approach and a shift in the role of HEIs in society.

The study is unique in providing an exemplar of the implementation of sustainable development in HE at a specific medical university.

This study aimed to develop a psychometrically reliable job satisfaction (JS) measure for university employees, guiding administrative decisions and monitoring satisfaction over time in public universities.

A JS survey developed by a Brazilian federal university’s sustainability committee containing 58 items across physical, cognitive and organizational domains was longitudinally tested with 1,214 responses collected. The data were analyzed using Item Response Theory (IRT) analysis, employing the Graded Response Model, with tools such as frequency analysis, item characteristic curve, and full-information factor analysis in RStudio. The scale’s criterion validity was also established via expert qualitative interpretation.

The instrument’s internal consistency was confirmed as the results demonstrated its high reliability with a marginal reliability coefficient of 0.95. Significant findings revealed that recognition and supervisor relationships were key discriminators of JS and that workers began to perceive satisfaction when basic environmental conditions were met.

It is important to mention that the application of this scale is specifically limited to higher education institutions and may not be directly applicable to other educational settings or industry sectors without modifications.

Although numerous measures and scales have been developed to assess JS, one elaborated by using IRT in a public university environment was lacking. Due to shifting dynamics in the workplace, traditional measurement of JS has proven inadequate, necessitating a more precise, accessible and updated tool. The developed scale allows precisely targeted interventions to improve JS and can be reapplied to evaluate their effectiveness. This research thus contributes a valuable tool for academic organizational psychology, enhancing the understanding of the measurement of JS.

This paper aims to present a comprehensive overview of the emergence and significance of digital payments, focusing on their impact on competitiveness and the need for policy interventions. In addition, it explores the design of policies that promote the adoption of digital payments, highlighting the benefits they offer to providers and users.

The paper examines the technological advances that have driven the growth of digital payment systems. It identifies key requirements for successful adoption and discusses the associated risks, along with potential strategies to mitigate these risks.

The findings emphasize the importance of responsible implementation and safeguarding the well-being of end users to fully realize the benefits of digital payment adoption. Understanding the inherent risks and establishing effective risk mitigation mechanisms are crucial. This necessitates the development of appropriate infrastructure to support the provision of digital payment services.

More research is needed to gain deeper insights into how emerging global trends in financial technology should be analyzed and understood by policymakers, service providers and users.

The findings of this study can guide policymakers, private sector managers and consumers in comprehending the effects of emerging digitalization trends and determining their adoption responses accordingly.

This paper stands out as one of the few research contributions that provide comprehensive and actionable policy recommendations to facilitate a smooth transition to a digital payments ecosystem that benefits all stakeholders.

Despite the unique features and potential applications in various industries, widespread blockchain adoption is hindered for several reasons. One of them is the lack of government regulations regarding blockchain and cryptocurrencies. However, a deliberate preliminary analysis of the policy initiatives by various jurisdictions proved otherwise, and a lack of sound academic literature on the policy initiatives on blockchain worldwide was evident. Addressing this gap, this study aims to summarize the policy initiatives of jurisdictions around the world, assessing if governments do not enact many regulations.

A systematic literature review was adopted in this study, in which the authors shortlisted a set of research papers and policy reports using several selection criteria and a screening process.

It was found that numerous policy initiatives have been enacted by governments worldwide, and blockchain applications are also being piloted or practiced successfully in several nations. It was also evident that governments are reluctant to accept cryptocurrencies as legal tender while embracing their underlying technology, blockchain.

To the best of the authors’ knowledge, this paper appears to be one of the first attempts to summarize the blockchain policy initiatives contributing to the body of knowledge on blockchain adoption.

Disaster management and humanitarian logistics (HT) play crucial roles in large-scale events such as earthquakes, floods, hurricanes and tsunamis. Well-organized disaster response is crucial for effectively managing medical centres, staff allocation and casualty distribution during emergencies. To address this issue, this study aims to introduce a multi-objective stochastic programming model to enhance disaster preparedness and response, focusing on the critical first 72 h after earthquakes. The purpose is to optimize the allocation of resources, temporary medical centres and medical staff to save lives effectively.

This study uses stochastic programming-based dynamic modelling and a discrete-time Markov Chain to address uncertainty. The model considers potential road and hospital damage and distance limits and introduces an a-reliability level for untreated casualties. It divides the initial 72 h into four periods to capture earthquake dynamics.

Using a real case study in Istanbul’s Kartal district, the model’s effectiveness is demonstrated for earthquake scenarios. Key insights include optimal medical centre locations, required capacities, necessary medical staff and casualty allocation strategies, all vital for efficient disaster response within the critical first 72 h.

This study innovates by integrating stochastic programming and dynamic modelling to tackle post-disaster medical response. The use of a Markov Chain for uncertain health conditions and focus on the immediate aftermath of earthquakes offer practical value. By optimizing resource allocation amid uncertainties, the study contributes significantly to disaster management and HT research.

The main goal of the article is to determine the mediating role of HRM outcomes in the relationships between staffing the organization and company performance results and to establish whether there are any identifiable regularity in this scope in the pre-pandemic and pandemic period in the HQs and foreign subsidiaries of MNCs.

The empirical research included 200 MNCs headquartered in Central Europe. To capture the actual relations between the variables under study the raw data in the variables were adjusted with the efficiency index (EI). The Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to verify the research hypotheses and assess the mediating effects.

The research findings show that, with the exception of the HQs in the pandemic period, when staffing had a negative effect on the company performance results in quality, in other cases it had a positive effect on results in HRM, finance, innovativeness and quality, both in the pre-pandemic and pandemic period, although this effect was not always statistically significant. Furthermore, the company's performance results in HRM mediate positively the relationships between staffing and the other three categories of company performance results, regardless of the organizational level (HQs' or subsidiaries') and time period under consideration. Additionally, during the pandemic, the company's performance results in HRM mediate the relationships between staffing and the other company's performance results stronger than in the pre-pandemic time.

In addition to confirming the results of some other studies, the article also provides new knowledge. It determines the mediating role of HRM outcomes in the relationship between staffing and company performance results in finance, innovativeness and quality. Moreover, it identifies certain regularities in the four studied contexts, which is a novelty in this type of research. It also uses an innovative approach to including employee KPIs as the efficiency index in analyzing the relationships between the variables under study.