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1 – 10 of over 2000Agostino Marengo, Alessandro Pagano, Jenny Pange and Kamal Ahmed Soomro
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
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.
Practical implications
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.
Originality/value
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.
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Keywords
Mohammed Basendwah, Suraiyati Rahman and Mohammed Alawi Al-Sakkaf
In the last decade, the concept of Islamic attributes of destination (IAD) has emerged due to Muslim tourists’ need to visit a destination that complies with Sharia law. Since…
Abstract
Purpose
In the last decade, the concept of Islamic attributes of destination (IAD) has emerged due to Muslim tourists’ need to visit a destination that complies with Sharia law. Since then, the IAD concept has been popular to increase the destination’s attractiveness and travel satisfaction for Muslim tourists. This concept evolved from evaluating the Muslim tourists’ perception of IAD to non-Muslim tourists and from assessing the Islamic attributes in Muslim-majority destinations to non-Muslim majority destinations. Furthermore, the literature showed several measurement scales to assess tourists’ satisfaction with IAD, and scholars were varied in the methods of analysis used to assess tourists’ satisfaction with IAD. The purpose of this study is to perform a systematic mapping study on satisfaction with IAD by answering five research questions.
Design/methodology/approach
This study used the preferred reporting items for systematic reviews and meta-analyses framework to guide the search process and search for relevant studies between 2012 and 2022 from two scientific databases, Scopus and Web of Science.
Findings
The search revealed 387 studies. In total, 31 articles met the eligibility criteria. This study indicates the journal considered research studies on tourists’ satisfaction with IAD the most, the method of analysis used in the previous studies, the Islamic destination attributes considered in the previous studies, the research distribution by counties, the research trend and the future direction.
Originality/value
To the best of the authors’ knowledge, this is the first systematic mapping study that delivers a summary of empirical research studies on tourists’ satisfaction with IAD.
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Kesha K. Coker and Ramendra Thakur
Powered by artificial intelligence, voice assistants (VAs), such as Alexa, Siri and Cortona, are at early-stage adoption rates in service contexts. Customers express hesitance in…
Abstract
Purpose
Powered by artificial intelligence, voice assistants (VAs), such as Alexa, Siri and Cortona, are at early-stage adoption rates in service contexts. Customers express hesitance in using the technology. Furthermore, the effect of a relevant variable (VA empathy) as a determinant of VAs is not widely researched. This study aims to extend the unified theory of acceptance and use of technology (UTAUT) and social response theory (SRT) to propose and test a conceptual model of the role of customer perceptions of VA empathy and risk on VA adoption and usage intensity.
Design/methodology/approach
In this study, data were collected from 387 VA users in the USA using a survey administered through Amazon MTurk. Data cleaning retained a final n = 318 for structural equation modeling analysis.
Findings
Findings show that perceived VA empathy enhances customers’ attitude toward VA and drives adoption, thereby increasing VA usage intensity. Perceived risk is a moderator; users with high perceptions of VA empathy have greater VA adoption rates when they have high (vs low) risk perceptions of using VA.
Originality/value
This research is one of the first known studies to provide empirical evidence of the role of customer perceptions of VA empathy and risk on VA adoption in service delivery. It goes beyond VA adoption research to provide empirical evidence of the impact of VA adoption on actual usage intensity. By extending the UTAUT and SRT, this research adds to the theoretical foundation for research on VA adoption, offering practical insights for firms regarding empathetic VA design to enhance customer service delivery.
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María Jesús Barroso-Méndez, Maria-Luisa Pajuelo-Moreno and Dolores Gallardo-Vázquez
Previous research has explored the link between sustainability disclosure and reputation but produced contradictory results. This study aims to clarify the sustainability…
Abstract
Purpose
Previous research has explored the link between sustainability disclosure and reputation but produced contradictory results. This study aims to clarify the sustainability disclosure–reputation relationship through a quantitative analysis of the correlations between these variables reported in empirical research papers. The second objective was to determine how various moderators affect the sustainability disclosure–reputation link.
Design/methodology/approach
The meta-analysis was based on a systematic review of the literature covering empirical research on the corporate sustainability disclosure and reputation relationship. A total of 92 articles were meta-analyzed to compile their findings on four extrinsic moderators: company size, ownership, stock listing status and activity sector.
Findings
The findings confirm that a significant positive correlation exists between corporate sustainability disclosure and reputation. The moderator analysis also revealed that companies’ different characteristics can explain researchers’ divergent results.
Practical implications
The results have considerable practical relevance for organizational management. First, they can motivate managers to improve and disclose their company’s social and environmental impacts to strengthen their reputation, which in turn will help accelerate the achievement of the Sustainable Development Goals. Second, the findings can ensure organizations develop disclosure and reputation management strategies adapted for each firm’s size, ownership, stock listing status and activity sector.
Social implications
The results have considerable practical relevance for organizational management. First, they can motivate managers to improve and disclose their company’s social and environmental impacts to strengthen their reputation, which in turn will help accelerate the achievement of the Sustainable Development Goals. Second, the findings can ensure organizations develop disclosure and reputation management strategies adapted for each firm’s size, ownership, stock listing status and activity sector.
Originality/value
To the best of the authors’ knowledge, this meta-analysis is the first to clarify the link between disclosure and reputation, which makes a unique contribution to the field of social and environmental accounting. A larger sample of primary research was collected, and key extrinsic moderators were examined to explain prior studies’ contradictory findings.
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Inge Birkbak Larsen and Helle Neergaard
This research presents and evaluates a method for assessing the entrepreneurial mindset (EM) of students in higher education.
Abstract
Purpose
This research presents and evaluates a method for assessing the entrepreneurial mindset (EM) of students in higher education.
Design/methodology/approach
The research considers EM a multi-variable psychological construct, which can be broken down into several conceptual sub-categories. Using data from a master course in entrepreneurship, the authors show how these categories can be applied to analyze students’ written reflections to identify linguistic markers of EM.
Findings
The research reports three main findings: analyzing student reflections is an appropriate method to explore the state and development of students’ EM; the theoretically-derived EM categories can be nuanced and extended with insight from contextualized empirical insights; and student reflections reveal counter-EM categories that represent challenges in the educator’s endeavor to foster students’ EM.
Research limitations/implications
The commitment of resources to researching EM requires the dedication of efforts to develop methods for assessing the state and development of students’ EM. The framework can be applied to enhance the theoretical rigor and methodological transparency of studies of EM in entrepreneurship education.
Practical implications
The framework can be of value to educators who currently struggle to assess if and how their educational design fosters EM attributes.
Originality/value
This inquiry contributes to the critical research discussion about how to operationalize EM in entrepreneurship education studies. The operationalization of a psychological concept such as EM is highly important because a research focus cannot be maintained on something that cannot be studied in a meaningful way.
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Jianhua Zhang, Jiake Li, Sajjad Alam, Fredrick Ahenkora Boamah and Dandan Wen
This study examines the relationship between higher education improvement and tacit knowledge importance. In this context, the scarcity of empirical and theoretical studies on…
Abstract
Purpose
This study examines the relationship between higher education improvement and tacit knowledge importance. In this context, the scarcity of empirical and theoretical studies on acquiring tacit knowledge to enhance academic performance in higher education suggests that this research area holds significant importance for experts and policymakers. Consequently, this study aims to explore the factors that influence academic research performance at Chinese universities by acquiring tacit knowledge.
Design/methodology/approach
To achieve the study aims, the current approach utilizes the research technique based on the socialization, externalization, internalization and combination (SECI) model and knowledge management (KM) theory. To analyze the study objective, the authors collected data from post-graduate students at Chinese universities and analyzed it using structural equation modeling (SEM) to test the model and hypotheses.
Findings
The results indicated that social interaction, internalization and self-motivation have a positive impact on academic research performance through the acquisition of tacit knowledge. Furthermore, the findings suggest that academic researchers can acquire more knowledge through social interaction than self-motivation, thereby advancing research progress.
Originality/value
This study addresses the critical issues surrounding the acquisition of tacit knowledge and presents a comprehensive framework and achievements that can contribute to achieving exceptional academic performance.
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This study aims to review the current status of quality management (QM) research in Arab countries between 2001 and 2020.
Abstract
Purpose
This study aims to review the current status of quality management (QM) research in Arab countries between 2001 and 2020.
Design/methodology/approach
The study adopted the content analysis methodology, searching through various databases and search engines for relevant publications using several keywords. The selected publications were classified according to several criteria and the obtained results were presented in the form of frequencies and percentages.
Findings
Most research publications regarding QM were journal articles. The number of publications has steadily increased between 2001 and 2020. Moreover, QM research largely uses the quantitative research design. Questionnaire surveys are widely used as a data collection method; basic statistical analysis techniques are commonly employed to analyze the data. There is a tendency toward empirical research versus conceptual research. A few journal articles were published in reputed peer-reviewed international journals with low citation. Overall, Arab scholars research on QM and related topics over the past two decades is not significant for the field considering the number of published papers, citations and the papers published in reputed peer-reviewed international journals.
Research limitations/implications
This study has several limitations. First, it does not cover non-English information sources due to the overall lack of Arabic publication databases. Second, it uses a limited number of criteria to classify the selected publications. Third, it adopts the content analysis methodology to classify the selected publications. This method has several limitations, which may negatively affect the results. Nevertheless, the study offers several implications for research scholars, educators and practitioners.
Originality/value
This is the first study to attempt a comprehensive overview of the state of research on QM in Arab countries between 2001 and 2020 using the content analysis methodology.
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Olfa Ben Salah and Anis Jarboui
The objective of this paper is to investigate the direction of the causal relationship between dividend policy (DP) and earnings management (EM).
Abstract
Purpose
The objective of this paper is to investigate the direction of the causal relationship between dividend policy (DP) and earnings management (EM).
Design/methodology/approach
This research utilizes the panel data analysis to investigate the causal relationship between EM and DP. It provides empirical insights based on a sample of 280 French nonfinancial companies listed on the CAC All-Tradable index during the period of 2008–2015. The study initiates with a Granger causality examination on the unbalanced panel data and employs a dynamic panel approach with the generalized method of moments (GMM). It further estimates the empirical models simultaneously using the three-stage least squares (3SLS) method and the iterative triple least squares (iterative 3SLS) method.
Findings
The estimation of our various empirical models confirms the presence of a bidirectional causal relationship between DP and EM.
Practical implications
Our study highlights the prevalence of EM in the French context, particularly within DP. It underscores the need for regulatory bodies, the Ministry of Finance, external auditors and stock exchange organizers to prioritize governance mechanisms for improving the quality of financial information disclosed by companies.
Originality/value
This research is, to the best of our knowledge, the first is to extensively investigate the reciprocal causal relationship between DP and EM in France. Previous studies have not placed a significant emphasis on exploring this bidirectional link between these two variables.
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Barkha Dhingra, Shallu Batra, Vaibhav Aggarwal, Mahender Yadav and Pankaj Kumar
The increasing globalization and technological advancements have increased the information spillover on stock markets from various variables. However, there is a dearth of a…
Abstract
Purpose
The increasing globalization and technological advancements have increased the information spillover on stock markets from various variables. However, there is a dearth of a comprehensive review of how stock market volatility is influenced by macro and firm-level factors. Therefore, this study aims to fill this gap by systematically reviewing the major factors impacting stock market volatility.
Design/methodology/approach
This study uses a combination of bibliometric and systematic literature review techniques. A data set of 54 articles published in quality journals from the Australian Business Deans Council (ABDC) list is gathered from the Scopus database. This data set is used to determine the leading contributors and contributions. The content analysis of these articles sheds light on the factors influencing market volatility and the potential research directions in this subject area.
Findings
The findings show that researchers in this sector are becoming more interested in studying the association of stock markets with “cryptocurrencies” and “bitcoin” during “COVID-19.” The outcomes of this study indicate that most studies found oil prices, policy uncertainty and investor sentiments have a significant impact on market volatility. However, there were mixed results on the impact of institutional flows and algorithmic trading on stock volatility, and a consensus cannot be established. This study also identifies the gaps and paves the way for future research in this subject area.
Originality/value
This paper fills the gap in the existing literature by comprehensively reviewing the articles on major factors impacting stock market volatility highlighting the theoretical relationship and empirical results.
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Sihang Zhang, Xiaojun Ma, Huifen Xu and Jijian Lu
This paper seeks to investigate the differences in the teachers’ professional development (TPD) by mentorship in workplace. The authors examined the role of mentorship in the PD…
Abstract
Purpose
This paper seeks to investigate the differences in the teachers’ professional development (TPD) by mentorship in workplace. The authors examined the role of mentorship in the PD of teachers and conducted a meta-analysis of pertinent empirical data.
Design/methodology/approach
Using data from over 2,900 individuals, 66 experiments and 12 countries, the authors presented a meta-analysis of the association between workplace mentorship and TPD.
Findings
The authors concluded that mentoring activities could boost the TPD to some extent. It contributes positively to the discipline of science and language, kindergarten, individual mentoring and curriculum research. In addition, the periodicity should not exceed 1 year.
Research limitations/implications
The results of the meta-analysis are restricted to short-term mentorship activities, and the sample size is modest. Building upon the findings from the literature review and meta-analysis, the authors delineated a research agenda for prospective investigations. This includes an imperative for further exploration into the nexus between mentoring and the PD of educators.
Practical implications
Based on the available literature and meta-analysis findings, the authors developed a framework for the “Experts in the classroom” TPD pattern.
Originality/value
This is the first meta-analysis evaluating the association between mentorship and TPD.
Details