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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 paper categorizes and critiques the empirical research strategies that have been employed to test real options theory. Existing research has sought to detect valuable options in firms’ strategic investments as well as to investigate the payoffs from these investments. Our review highlights some of the evidence that has accumulated in recent years for real options theory. We flag some of the most important challenges and tradeoffs associated with the use of different empirical research approaches for testing real options theory in strategic management. The paper concludes by offering a number of research priorities to advance the theory by probing its descriptive validity as well as by addressing its normative aspirations to bridge corporate finance and strategy.

This study aims to provide a timely review of the COVID-19-related empirical research published in 19 quartile one (Q1) and quartile two (Q2) tourism and hospitality journals in social science citation index (SSCI).

A total of 407 COVID-19-related empirical papers were collected from the 19 SSCI Q1 and Q2 tourism and hospitality journals via Scopus database. Thematic content analysis was supplemented with Leximancer software to identify the research themes/subthemes, research methods and countries/regions of research.

The study found studies of COVID-19’s impact on consumer behaviour predominate in number, followed by studies on response actions and recovery strategies, impact on industry or sectors and impact on workers and employees. Based on the research themes identified, a knowledge mapping framework was produced. Over 70% of the studies used quantitative methods with quantitative survey as the dominant method of data collection. The USA and China were found to be the most studied countries.

The study reviewed empirical research papers until January 2022 and covered most of the COVID-19-related empirical works in the field. An overview of the current state of COVID-19-related empirical research was provided with some critical discussions and suggestions for future research topics.

The findings give researchers a clear index for the current state of the art of COVID-19 research in hospitality and tourism. The paper provides practical implications for industry practitioners to retrieve relevant knowledge from the recent COVID-19-related literature in tourism and hospitality in coping with practical challenges brought by the COVID-19 pandemic.

The purpose of this article is to give an overview of the development of a Virtual Research Environment (VRE) conceptual model for the management of research data at a South African university.

The research design of this article consists of empirical and non-empirical research. The non-empirical part consists of a critical literature review to synthesise the strengths, weaknesses (limitations) and omissions of identified VRE models as found in literature to develop a conceptual VRE model. As part of the critical literature review concepts were clarified and possible applications of VREs in research lifecycles and research data lifecycles were explored. The empirical part focused on the practical application of this model. This part of the article follows an interpretivist paradigm, and a qualitative research approach, using case studies as inquiry method. Case studies with a positivist perspective were selected through purposive sampling, and inferences were drawn from the sample to design and test a conceptual VRE model, and to investigate the management of research data through a VRE. Investigation was done through a process of participatory action research (PAR) and included semi-structured interviews and participant observation data collection techniques. Evaluation of findings was done through formative and summative evaluation.

The article presents a VRE conceptual model, with identified generic component layers and components that could potentially be applied and used in different research settings/disciplines. The article also reveals the role that VREs play in the successful management of research data throughout the research lifecycle. Guidelines for setting up a conceptual VRE model are offered.

This article assisted in clarifying and validating the various components of a conceptual VRE model that could be used in different research settings and disciplines for research data management.

This article confirms/validates generic layers and components that would be needed in a VRE by synthesising these in a conceptual model in the context of a research lifecycle and presents guidelines for setting up a conceptual VRE model.

The purpose of this paper is to analyze more than three decades of theory testing published in leading operations management (OM) journals.

This piece examines the amount of theory testing, the extent to which theories are tested multiple times, and the disciplinary origins of the theories that are tested.

The analysis revealed that empirical OM researchers have increasingly responded to demands for more theory-driven knowledge over time. OM researchers are developing and using a wide array of domestic theories to understand empirical data. The examination also revealed a substantial focus on theory borrowed from other scientific fields.

The findings here suggest that OM is clearly a maturing discipline. As the discipline matures, it is important to consider to what extent borrowed theories and frameworks can offer value to OM. A preliminary vetting model is advanced in order to critically assess foreign theory. It is hoped that future screening promotes only the most useful non-domestic theory, thereby ensuring sufficient journal space for domestic theory and resulting in effective solutions to the pressing, practical problems of the OM field.

The purpose of this paper is to contribute to the advancement of research methods in management spirituality by proposing a novel and innovative approach for generating empirical material on issues relevant for practitioners.

The approach introduced is designed as a one-year group process based on Schein’s concept of clinical inquiry, primarily aimed at helping the participating managers to address challenging issues that they face in real life. When this helping process is successful, empirical material on these issues is revealed, as the participants share information to receive help themselves.

Findings illustrate how the approach generates extensive, rich and broad data, guided by what becomes important for the participating managers as the process unfolds. A strong holding environment allows for urgent matters to be shared straight from the heart.

As this activity is based on the belief that the managers know best the issues relevant to them, a deviation from the assumed research direction should be seen as help to focus on relevant issues, rather than an obstacle of following an original plan.

The proposed approach may be of particular interest to researchers who not only want to contribute to academic knowledge but also wish to work with people and facilitate transformation.

This paper advances understandings of generating empirical material in the field of management spirituality through an innovative, client-centered research approach, rooted in well-established theories.

Despite the fact that chatbots have been largely adopted for the last few years, a comprehensive literature review research focusing on the intention of individuals to adopt chatbots is rather scarce. In this respect, the present paper attempts a literature review investigation of empirical studies focused on the specific issue in nine scientific databases during 2017-2021. Specifically, it aims to classify extant empirical studies which focus on the context of individuals' adoption intention toward chatbots.

The research is based on PRISMA methodology, which revealed a total of 39 empirical studies examining users' intention to adopt and utilize chatbots.

After a thorough investigation, distinct categorization criteria emerged, such as research field, applied theoretical models, research types, methods and statistical measures, factors affecting intention to adopt and further use chatbots, the countries/continents where these surveys took place as well as relevant research citations and year of publication. In addition, the paper highlights research gaps in the examined issue and proposes future research directions in such a promising information technology solution.

As far as the authors are concerned, there has not been any other comprehensive literature review research to focus on examining previous empirical studies of users' intentions to adopt and use chatbots on the aforementioned period. According to the authors' knowledge, the present paper is the first attempt in the field which demonstrates broad literature review data of relevant empirical studies.

To grow, any field of research must both encourage newcomers to work within its boundaries, and help them learn to conduct excellent research within the field’s parameters. This paper aims to examine whether the existing body of neuromarketing literature can support such growth. Specifically, the authors attempt to replicate how a newcomer to the field of neuromarketing would go about orienting themselves to the field and learn how to conduct excellent neuromarketing research.

A total of 131 papers, published in the areas of “neuromarketing” and “consumer neuroscience” were downloaded and then identified as conceptual or empirical in nature. A separate database was created for each type of research paper and information was recorded. For both conceptual and empirical papers, the citation details, notably year of publication, journal, journal ranking and impact factor were recorded. Papers were then descriptively analysed with regards to number of publications over the years, content and journal quality.

It is found that interest in the field is growing, with a greater variety of topics and methods appearing year on year. However, the authors also identify some issues of concern for the field if it wishes to sustain this growth. First, the highly fragmented literature and the lack of signposting makes it very difficult for newcomers to find the relevant work and journal outlets. Second, there is a lack of high-quality, user-oriented methodological primers that a newcomer would come across. Finally, neuromarketing as it appears to a newcomer suffers from a lack of clear guidance on what defines good vs bad neuromarketing research. As a large majority of the reviewed papers have appeared in lower-ranked journals, newcomers might get a biased view on the acceptable research standards in the field.

The insights from the analysis inform a tentative agenda for future work which gives neuromarketing itself greater scientific purpose, and the potential to grow into a better-established field of study within marketing as a whole.

Organizations’ increasing concern for environment shows the interest in appropriate mechanisms that account for relevant flows of environment-related information. Today managers and researchers are promoting environmental management accounting (EMA) systems mechanisms as a means to incorporate the full spectrum of ecological data into day-to-day business decisions and foster green management execution. However implementation remains a challenge and many of the difficulties are associated with conceptual and practical problems in integrating ‘green’ information and providing guidance on effective implementation. In this context academics might investigate on further explanations on how to achieve excellence in both environmental and financial performance. Hence this chapter substantiates the need for more theoretical and empirical studies on EMA practices and proposes avenues for future research.

We review the growing body of EMA research to inform the reader of what has been studied to date and indicate the necessity for further investigation. In addition, we suggest areas for future research.

Our synthesis highlights the relevant aspects of EMA examined in prior studies. The review reveals unexplored facets that need to be investigated to complement existing knowledge. In particular researchers might explore the concept of environmental performance and the application of different forms of EMA within organizations. Moreover academics have the opportunity to further examine the role of EMA mechanisms in companies that do not pursue environmental results for economic benefits.

The chapter sheds some light on EMA literature and emphasizes the opportunities that new theoretical developments and appropriate research designs offer in the investigation of the remaining gaps in the literature.

The purpose of this paper is to identify the recurrences in the empirical evidences that link open innovation (OI) actions and innovation performance in European countries. It provides managers with useful strategic suggestions, emphasizes the limitations of the state of the art, and recommends future directions of research.

The authors systematically reviewed empirical articles linking OI actions and innovation performance in European countries, published on peer reviewed journals from January 2003 until May 2013. The authors organized the evidences according to a novel taxonomy grounded in the literature.

The paper shows an increasing interest in the research of empirical evidence regarding OI and innovation performance. Nonetheless, evidence of the role played by outbound OI activities are extremely rare. The authors found that process innovations are more likely to benefit from coupled OI activities rather than inbound activities. Moreover, the effect of coupled depth actions on both product and process innovation performance was always positive in the reviewed articles. The authors also discuss how scholars measure innovation performance, pointing out the criticalities.

The paper allows analysing the empirical evidences found in the literature, emphasizing the limitations of the state of the art and recommending future directions of research.

The systematization of the empirical evidences found in the European literature provides managers with useful strategic suggestions to improve their organizations’ innovation performances.

The paper contains a complete and extensive analysis of empirical OI literature with respect to European countries. The articles and their findings are organized according to a novel taxonomy useful to identify evidences and recurrences in a synoptic manner.