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This paper aims to consolidate empirical studies between 2013 and 2022 to investigate the impact of artificial intelligence (AI) in higher education. It aims to examine published research characteristics and provide insights into the promises and challenges of AI integration in academia.

A systematic literature review was conducted, encompassing 44 empirical studies published as peer-reviewed journal papers. The review focused on identifying trends, categorizing research types and analysing the evidence-based applications of AI in higher education.

The review indicates a recent surge in publications concerning AI in higher education. However, a significant proportion of these publications primarily propose theoretical and conceptual AI interventions. Areas with empirical evidence supporting AI applications in academia are delineated.

The prevalence of theoretical proposals may limit generalizability. Further research is encouraged to validate and expand upon the identified empirical applications of AI in higher education.

This review outlines imperative implications for future research and the implementation of evidence-based AI interventions in higher education, facilitating informed decision-making for academia and stakeholders.

This paper contributes a comprehensive synthesis of empirical studies, highlighting the evolving landscape of AI integration in higher education and emphasizing the need for evidence-based approaches.

This study investigates economic sustainability through orientation and absorptive capacity.

The researchers developed a conceptual framework based on vigorous literature for this investigation. This study targeted managers from Pakistan's SME sector as respondents and employed cross-sectional data. In total, the authors based this study's findings on 192 valid cases.

The structural equation modeling (SEM) results highlight that innovation orientation (IO), customer orientation (CO), supplier orientation (SO), network orientation (NO) and absorptive capacity (AC) have significant effects on economic sustainability (ES). Moreover, this study's findings show that ES significantly predicts environmental sustainability (ENS). Finally, the results also demonstrate that ES and ENS positively and substantially affect financial performance (FP).

This study's findings help SMEs continue sustainable business practices by avoiding adverse environmental effects and ongoing climate changes. This study's findings contribute also to the manufacture of eco-friendly environmental products to reduce the contamination of the environment. Financial institutions and policymakers would boost SME owners' capacity and the obtainability of financial resources to improve Pakistani SMEs’ sustainable economic and environmental performance.

This study's findings help to enrich environmental and economic sustainability and, more significantly, for developing countries.

The present study examines the knowledge, attitude and practice towards the reduction of COVID-19 spread among entrepreneurs of the Federal Urdu University of Arts, Sciences and Technology (FUUAST), Karachi Pakistan.

The authors employed cross-sectional data to infer the results. The data are collected through an online survey questionnaire. To target the respondents; a convenience sampling technique is adopted. In total, 222 usable answers proceed with final results. The structural equation model (SEM) is applied for the data analysis.

The study outcomes found a significant and positive role of knowledge about COVID-19, attitudes towards a stay at home and practices against COVID-19 in reducing the spread of the pandemic.

The study provides coherent knowledge about the factors that fight against the pandemic's further spread. The findings would provide the guidelines to policymakers to think about such factors and boost them enormously. Further, the results would contribute to the literature of COVID-19.

This study is original, which empirically confirmed the effect of knowledge about COVID-19, attitudes towards a stay at home and practices against COVID-19 in an academic institute.

The paper aims to identify the emerging themes on the challenges faced by the Malaysian private higher learning institutions (HLIs) in the provision of providing quality education.

Semi-structured interviews were purposively conducted with 29 of the Malaysian private HLI internal and external stakeholders ranging from the relevant personnel of the institutions (the quality director, administrators and senior academics), regulatory agencies, prospective employer, students and parents. Thematic analysis was then applied to analyze the participants’ responses in determining and clarifying the challenges faced by the Malaysian private HLIs in the issue of providing quality education.

Eight overarching themes were identified, namely, Academics, Facilities, Students, Programs and curriculum, Competition, Accreditation, Finance and Research. Academics represent the most frequent challenge raised by the participants, whereas Research emerged as the least mentioned challenge during the interview sessions.

The present paper focused solely on Malaysian private HLIs, and thus, the findings may not be applicable to the foreign private HLIs that are operating in Malaysia as well as to the public HLIs.

The findings are expected to provide valuable guidelines to the Malaysian Private HLIs in areas where resources need to be critically disbursed. To the regulatory agencies and policy-makers, the findings could enlighten them on the difficulties faced by these privately funded institutions so that further policies can be designed and implemented to assist these institutions in their operations and long-term survival.

Generative pretrained transformers (GPTs), soaring to one million users at lightning speed, outpaced social media giants (15 times faster) (Buchholz, 2023). Despite this, scant research explored GPT’s impact on the digital entrepreneurial intentions (EIs) of students and tech-savvy generations. This study aims to pioneer a fusion of the technology acceptance model (TAM) and the theory of planned behavior (TPB), bridging the gap in research.

In this bold quantitative quest, business administration students became fearless participants, engaging in a survey of profound significance. Guided by the mighty powers of G*Power and Stata’s structural equation modeling builder, the intricate relationships within a robust sample of (n = 400) were unraveled.

The mediating power of GPT usefulness and GPT ease of use part of the TAM emerges, paving the way for a future brimming with digital entrepreneurship (DE) boundless possibilities. Predictably, the study found that TPB constructs also affect the EI of students.

This groundbreaking study brings together the powerful combination of TAM and TPB, while pioneering the exploration of GPT models’ mediating role. Its findings offer invaluable contributions to the field of DE and policymakers.

Nowadays, entrepreneurship is regarded as an indispensable means for economic development. In this regard, promoting entrepreneurship is a necessity for every economy. The purpose of this paper is to identify factors that may influence students’ entrepreneurial intentions.

The conceptual framework underlying this study is the theory of planned behavior, and the study proposes a descriptive methodology in which cross-sectional data are randomly collected from the different public sector universities of Pakistan. A survey questionnaire was used as a means for data collection. The respondents were bachelor’s as well as master’s degree students who are pursuing degrees in entrepreneurship or education. After cleaning the data, 385 usable answers were analyzed. The response rate was 60 percent. Statistical Package for Social Sciences version 21.0 was used for data analysis.

The results of Pearson’s correlation and multiple regression analysis showed that attitudes toward behavior and subjective norms have a positive and significant relationship with entrepreneurial intention. On the other hand, perceived behavioral control has no significant relationship with entrepreneurial intention.

Such a study may provide useful insights into the state of entrepreneurship education for policy makers and planners in universities as well as in government, regarding the younger generation, particularly, to reduce the burden of graduate unemployment.

This paper aims to empirically examine the impact of dynamic capabilities on Industry 4.0 capabilities in small and medium enterprises (SMEs) in Jordan. It also aims to examine the potential impact of industry 4.0 capabilities on technological innovation.

Data were collected from 210 respondents who work and own SMEs in Jordan. SmartPLS software based on the partial least squares-structural equation modeling approach was used to test hypotheses.

The findings reveal the positive effects of the three components of dynamic capabilities, including sensing, seizing and reconfiguring, on Industry 4.0 capabilities. They also confirm the positive effect of Industry 4.0 capabilities on technological innovation.

This study provides valuable practical implications and enriches the literature on the determinants of Industry 4.0 capabilities and its role in developing the dynamic capabilities of SMEs, such as technological innovation.

The study aims to explore the mediating role of flow at work and moderating role of creative self-efficacy in the relationship between authentic leadership and innovative work behavior.

The study collected data from 315 employees working in the service sector through survey design. Data analysis was done through structural equation modeling.

The findings revealed that authentic leadership is related to flow at work and innovative work behavior. Flow at work was also found to be related to innovative work behavior. Flow at work was found to mediate the relationship between authentic leadership and innovative work behavior. The study also confirmed the moderating role of creative self-efficacy in the relationship between authentic leadership and innovative work behavior.

The study unearthed the previously unexplored mediating role of flow at work linking authentic leadership to innovative work behavior. Additionally, it is the first study that explicated how creative self-efficacy moderates the relationship between authentic leadership and innovative work behavior; the relationship between the two is stronger when creative self-efficacy is high.

Blockchain technology has brought about significant transformation among organizations worldwide. This study aimed to explore the effects of organizational and technological factors on blockchain technology adoption (BTA) and financial performance (FP) in Pakistan.

This is a co-relational study which used the cross-sectional data. We gathered the data from the managers of Pakistan’s small and medium-sized enterprises (SMEs), which functioned their industries with blockchain technology. We applied convenience sampling to identify the respondents. Finally, we based this study’s findings on 274 valid cases.

We used structural equation modeling (SEM) in this study, to exert a positive and significant impact on organizational factors such as organizational innovativeness (OI), organizational learning capability (OLC), top management support (TMS) and organizational work climate (OWC) on BTA. In addition, the technological factors, such as complexity (CTY), technology readiness (TR), compatibility (CBTY) and technology capability (TC), have a positive and significant effect on BTA. Finally, this study’s findings show that BTA positively and significantly impacts FP.

This study’s findings will help policymakers and planners to design policies to adopt other blockchain technologies to improve SMEs’ operations. Moreover, this study’s findings will inspire policymakers and planners to actively seek new ideas, knowledge and skills through acquiring new knowledge to assist with their IT-related decisions.

This study empirically confirms the role of organizational and technology factors toward BTA and FP among Pakistan's SME managers.

This study aims to examine how digitalization affects the work efficiency of the Shariah Supervisory Board (SSB) in Islamic banks.

This study uses panel data analysis of annual report disclosures over the past 10 years. The authors have selected 79 Islamic banks for the period ranging from 2012 to 2021. The criteria for SSB efficiency used in this research are disclosure of Zakat and disclosure in the SSB report.

The econometric results show that digitalization has a positive effect on improving the work efficiency of the SSB in Islamic banks. Accordingly, the authors provide evidence that the higher the bank's digital engagement, the higher the quality of the SSB.

The findings highlight the need to improve the current understanding of SSB structures and governance mechanisms that can better assist Islamic banks in engaging in effective compliance with recent governance and accounting reforms. Moreover, Islamic banks are the most capable and appropriate to implement and activate digitalization because they are based on a vital root calling for development if there are executives believing in it, as well as legislation supporting and serving them.