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This study aims to investigate the key factors that influence the behavioural intention of doctors to adopt the knowledge sharing driven blockchain technology in government hospitals. The study is based on the Unified Theory of Acceptance and Use of Technology 2, with the addition of trust as an independent variable and knowledge sharing as a mediating variable between trust and behavioural intention.

The data for the study was collected through a correlation and cross-sectional study using a survey, with a sample of 322 responses being used for the final analysis. The initial analysis of the data was conducted using SPSS v.26, followed by a partial least squares structural equation modelling (PLS-SEM) analysis using SmartPLS v.3.9 to test the validity and reliability of the measures and to examine the hypothesized relationships.

The results supported the proposed framework. The results of PLS-SEM indicate that all proposed pathways support the model. In particular, the results of the study reveal that performance expectation, effort expectation, social influence, facilitation conditions and trust are drivers of blockchain adoption and have a significant impact on the behavioural intention of clinicians in hospitals. Furthermore, the study found that knowledge sharing mediated the relationship between trust and behavioural intention.

The present study sheds light on the challenges facing blockchain technology, such as privacy and trust concerns and proposes a more sustainable approach based on knowledge management to enhance the effectiveness of blockchain technology and overcome these challenges.

The significance of this paper lies in the limited literature examining the relationships between blockchain technology and knowledge management processes. Furthermore, a hypothetical framework that includes the knowledge sharing process as a mediating variable between trust and behavioural intention to adopt blockchain technology has not been presented or developed in any previous studies, particularly in the context of Iraq. Thus, this work is novel and unique in its approach.

Drawing on knowledge-based view, social exchange theory and leader-member exchange, this study examines how exploitative leadership (EL) influences knowledge management (KM), its processes, and further investigates the moderating role of organisational citizenship behaviours (OCB) on the relationship between EL and KM.

Using a quantitative approach, survey data were collected from 356 faculty members in Iraqi public universities, and the direct and moderating relationships were assessed through Hierarchical regression by PROCESS v.3.3 macros in SPSS.

The study found a significant negative impact of EL on KM, including its processes, especially on knowledge utilisation. The assessment also revealed that OCB has a significant moderating impact on EL, particularly its effect on knowledge creation.

The empirical insights of the study are valuable and precious for policymakers, managers and academics in education sectors of developing countries, to enrich their managerial and scientific performance through addressing EL behaviours while considering the moderating effect of OCB.

The relevance of the study stems from the scarcity of research on EL, while studies on the negative behaviours of leaders as a predictor of KM process failures are significantly limited. Additionally, studies on the moderating impact of OCB on the linkage between EL and KM processes remain limited. This study is one of the earliest studies that investigate these inter-relationships amongst EL, OCB and KM processes.

In this research, we seek to understand the effects of artificial intelligence (AI) and knowledge management (KM) processes in enhancing proactive green innovation (PGI) within oil and gas organizations. It also aims to investigate the moderator role of trust and sustainability in these relationships.

This paper employs a quantitative analysis. Surveys have been gathered from the middle-line managers of twenty-four oil and gas government organizations to evaluate the perceptions of the managers towards AI, KM processes, trust, sustainability measures and proactive measures toward green innovation. Analytical and statistical tools that were employed in this study, including structural equation modeling with SmartPLSv3.9, have been used to analyze the data and to examine the measurement and structural models of this study.

The study results reveal a significant and positive impact of AI utilization, KM processes and PGI within oil and gas organizations. Furthermore, trust and sustainability turn out to be viable moderators affecting, and influencing the strength and direction of AI, KM and PGI relationships. In particular, higher levels of trust and more substantial sustainability commitments enhance the positive impact of AI and KM on green innovation outcomes.

Understanding the impact of AI, KM, trust and sustainability offers valuable insights for organizational leaders and policymakers seeking to promote proactive green innovation within the oil and gas industry. Thus, organizations can increase the efficiency of sustainable product development, process improvement and environmental management by using robust AI technologies and effective KM systems. Furthermore, fostering trust among stakeholders and embedding sustainability principles into organizational culture can amplify the effectiveness of AI and KM initiatives in driving green innovation outcomes.

This study extends the current knowledge by assessing the effect of AI and KM on proactive green innovation while accounting for trust and sustainability as moderators. Utilizing quantitative methods offers a nuanced understanding of the complex interactions between these variables, thereby advancing theoretical knowledge in the fields of innovation management, sustainability and organizational behavior. Additionally, the identification of specific mechanisms and contextual factors enriches practical insights for organizational practitioners striving for a practical understanding of the dynamics of the complexities of sustainable innovation in an AI-driven era.

This paper aims to propose a user adoption model of human resource information system (HRIS) in the Jordanian public sector by integrating the task technology fit (TTF) model and the unified theory of acceptance and usage of technology (UTAUT).

Using a quantitative approach, survey data were collected using an online survey from employees working in four different public organizations in Jordan, and structural equation modelling has been used to validate the research model.

The study found that among the constructs of the UTAUT model performance expectancy, social influence and facilitating condition have a significant effect on users’ behavioural intention to adopt HRIS. Furthermore, the results also reveal that effort expectancy has an insignificant effect on adoption behaviour. The findings also show that all TTF hypotheses were supported by the data collected. Both task characteristics and technology characteristics have a significant effect on the TTF construct, which further determines users’ adoption behaviour.

These findings contribute to the extant academic literature and have practical implications, improving the understanding of the HRIS adoption and use in public sector organizations.

The purpose of this study is to examine the factors influencing the usage of cloud-based accounting information systems (AIS) in the crisis era (i.e. the COVID-19 pandemic) by expanding the unified theory of acceptance and use of technology (UTAUT) with new related critical factors.

A quantitative research approach based on a cross-sectional online questionnaire was used for collecting empirical data from 438 potential and current users of cloud-based AIS. Structural equation modeling based on analysis of a moment structures 25.0 was applied in the data analysis.

The outcome of the structural path revealed that performance expectancy, social motivation, COVID-19 risk (COV-19 PR) and trust (TR) were significantly influencing users’ behavioral intention (BI) toward using cloud-based AIS and explained 71% of its variance. While, contrary to what is expected, the impact of effort expectancy and perceived security risk (SEC) on BI was insignificant. In addition, BI was revealed to influence the actual usage behaviors and explained 74% of its variance. The outcome factors: communication quality (CQ) and decision quality (DQ) were significantly influenced by the usage of cloud-based AIS.

The current research would be valuable for small- and medium-sized enterprises officials and policymakers to illustrate the relatively low rates of cloud-based AIS and formulate strategies to boost the acceptance and use of cloud-based AIS by Jordanian users, where cloud-based services are still deemed as an innovation.

To the best of the authors’ knowledge, the current study is the first academic paper that extends the UTAUT by integrating additional factors: TR, SEC and COV-19 PR. In addition to two outcome variables: CQ and DQ, to study the cloud-based AIS in the Jordanian setting beyond the COVID-19 pandemic. The current research contributes to the academic knowledge on information technology information system adoption by considering cloud accounting acceptance and use and integration into the work practices of users through the BIs and actual use of cloud-based AIS in Jordan.

Under the integrated perspective of the Net Valence Framework (NVF) and Theory of Reasoned action (TRA), this research intends to examine the impact of drivers (perceived risks (PRs) and benefits) on FinTech adoption (FA) as well as on business sustainability (BS) of small and medium-sized enterprises (SMEs) in Oman. The purpose of this study is to examine the impact of drivers (perceived risks and benefits) on FinTech adoption (FA) and business sustainability (BS) of SMEs in Oman , under the integrated perspective of the Net Valence Framework (NVF) and Theory of Reasoned Action (TRA).

Primary data was collected from 402 owners and managers of SMEs in Muscat, Oman using a purposive sampling method. Structural Equation Modeling with Partial Least Squares was mainly applied to assess the PRs and perceived benefits (PBs) determining both FA and BS of SMEs.

The results indicate that PBs (economic, convenience, transaction efficiency) positively impact FA, while PRs (financial, legal, security, operational) act as deterrents toward FA. Both the benefits and risks significantly influence BS. FA itself fosters sustainability, and PBs directly enhance it through ease of use, cost reduction and knowledge acquisition. Conversely, PRs hinder sustainability due to concerns about skills gaps, security, social inclusion and environmental considerations.

The research forms a model capturing the pros and cons of FA of SMEs to provide stakeholders with ideas that would promote sustainability and drive fintech-based growth and innovation. For instance, by improving financial management efficiency, increasing market access and enhancing competitiveness, SMEs can adopt fintech solutions to support sustainable growth and achieve Sustainable Development Goals across the region’s economy.

The current research, through the lens of the NVF as well as TRA, explores the contribution of FA determined by PRs and benefits toward BS of SMEs in the context of Oman.

This study delves into the behavioural intentions of educators within medical colleges at Mosul Universities concerning the adoption of Knowledge Management-Driven Metaverse technology (KM-D-MT). Rooted in an adapted Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model, the research aims to enrich the understanding of Metaverse adoption factors, exploring correlations among key constructs such as performance expectancy, effort expectancy, social influence, facilitating conditions, perceived value, hedonic motivation and interaction. Furthermore, the study investigates the mediating roles of knowledge generation and knowledge sharing in the relationship between interaction and behavioural intention.

The research employs a quantitative approach, gathering 278 responses from educators in medical colleges. Structural Equation Modelling-Partial Least Squares (SEM-PLS) is used to analyse the data, rigorously examining the reliability and validity of research instruments. The investigation involves an extensive evaluation of various factors influencing educators’ intentions to adopt KM-D-MT, using a cross-sectional design.

The study reveals significant positive impacts of performance expectancy, effort expectancy, social influence, facilitating conditions, perceived value and hedonic motivation on behavioural intention to adopt KM-D-MT. Interaction is identified as a key factor positively influencing knowledge sharing and knowledge generation. Furthermore, knowledge sharing and knowledge generation exhibit positive correlations with behavioural intention. Interaction indirectly impacts behavioural intention through the mediating roles of knowledge generation and knowledge sharing, highlighting the transformative potential of Metaverse technology in reshaping knowledge processes.

The findings of this study hold practical implications for educators, institutions and policymakers. The adoption of KM-D-MT can enhance educational experiences, facilitate global collaboration and contribute to the continuous professional development of educators in medical colleges. Institutions are encouraged to strengthen technological and organisational infrastructure to support effective Metaverse implementation. Furthermore, promoting positive social norms, providing technical support and offering training programs can contribute to overcoming barriers and fostering a conducive environment for Metaverse adoption in medical education.

This research significantly contributes to theoretical perspectives by advancing Metaverse research and addressing the call for extensive studies covering theoretical, conceptual and empirical elements. It extends current UTAUT2 frameworks, exploring correlations in the context of medical education and contributes to knowledge management paradigms. The study’s originality lies in its exploration of Metaverse acceptance in higher education institutions, specifically in medical colleges in Iraq, providing valuable insights for further research and practical applications globally.

This study draws upon the hybrid approach of the resource-based view and social capital theory, and aims to develop and empirically validate a model that examines the relationship amongst wise leadership, workplace friendships and open innovation (OI) in family firms (FFs).

An online survey was conducted to collect data from a sample of 381 firms from a developing country. Additionally, this study used AMOS software and structural equation model to empirically test the proposed hypotheses of the theoretical model.

Findings show that wise leadership has a significant, positive indirect effect on stimulating OI in FFs via its influence on building workplace friendships and overcoming knowledge–strategic and collaboration–organisational challenges.

To improve OI, top management teams of family businesses should encourage wise, intelligent, well-informed and strong leaders who drive change. Moreover, they should establish small group, “smart-world” networks for specialised innovation to facilitate friendship based on trust and competence, and develop the coordinating role of family leaders in these networks.

This study complements and advances previous research on OI in many ways. Firstly, the current study proposes a conceptual model that demonstrates the interrelationships amongst the main variables in Iraqi FFs. Secondly, this research explores the crucial mediating role of workplace friendship, which capitalises on the principles of friendship in the context of the acquisition, accumulation and exchange of knowledge, thereby overcoming the challenges associated with innovation.

The purpose of the current study is to explore the influence of knowledge management (KM) in education management organizations (EMOs) Schools of Pakistan. Knowledge plays a pivotal role in the development of an organization due to sharing and managing of knowledge within an organization. In an era of competitiveness, KM has become a significant factor for the sustainable development of educational organizations. Knowledge and KM has become a key element in various fields of knowledge including health, technologies, engineering, social sciences, natural science, business and education. Organizations can adopt KM to improve effectiveness and gain advantage over other organizations. Also, it helps them to make well calculated decisions for the benefit of the organization. KM leads to increase in efficacy, more work, better performance, enhancing staff’s competency through quality decisions.

The research study is descriptive type research by nature, and a qualitative approach was adopted for gathering data and within it the desk review was conducted. The data was analyzed through content analysis techniques. The secondary data was collected in this study. Therefore, the unit of analysis includes the government documents, published research articles and international agencies reports, journal articles, websites, e-books and internet resources, conference papers, case studies and the statistics available on KM in development of organizations in educational settings.

The findings of the study show that through KM the EMOs school can perform better and give outstanding results in terms of student’s achievements. Further, organizations can develop a system which helps them to take timely decisions for enhancing the image of school among all stakeholders including parents, community, teachers and society.

The present study can benefit educational organizations, stakeholders, policymakers, provincial and federal governments and society. This will contribute to the new body of knowledge in the domain of education for knowledge creation and sharing.

This study is conducted in the context of EMOs schools. So, this may be the first research study in this area. In this connection, the study has originality in the context of KM in educational organization in Pakistan.

The health-care services in Iraq currently face many challenges. The most noted is the lack of effective nursing leaders to meet the growing needs of the health-care services. Effective nursing leadership is critical to the health-care system, affecting work performance, quality of care and staff satisfaction. The literature suggests that nursing leaders in Iraq are not adequately trained to provide leadership to improve the nursing profession and have limited involvement in decision-making. The purpose of this study is to explore the views of nurses on what they believe constitutes effective leadership in Iraq.

A qualitative methods approach is used involving 20 semi-structured interviews of senior nurses. The sample of nurses came from two large general hospitals in Iraq. The qualitative data was thematically analyzed and interpreted.

The study results indicated that there were factors that influence the performance of nurse leader, namely, excessive workload, personal relationship with nursing staff, professional recognition of nursing and selection criteria of leaders. Test results show that there were significant differences in views of the nurses toward nurse leaders’ performance. This research concludes that the nurse leader performance in developing countries is affected by excessive workload, personal relationship with nursing staff, professional recognition of nursing and selection criteria of leaders.

The relevance of the study stems from the scarcity of research on the leader performance in developing countries, while studies on the factors influencing the innovative performance of leaders in nurses’ professional are significantly limited. This study is one of the earliest studies that investigate these factors influencing the nurse leader’s performance.