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The purpose of this paper is to deal with interval grey-stochastic multi-attribute decision-making problems. It proposes a VIKOR method based on prospect theory in which probabilities and the attribute value are both grey numbers.

In the prospect theory the results values and probability weight are used while the utility and probability values in the expected utility theory, which the more realistically reflect and describe the decision makers on the optimal process. VIKOR method makes the decision acceptable superiority and decision process stability. At the same time, a new interval grey number entropy is put forward, which is used to calculate the index weight of unknown.

The paper provides a VIKOR method based on prospect theory in which probabilities and the attribute value are both grey numbers. And the validity and feasibility of the method are illustrated by an example.

Although VIKOR is much closer to PIS than TOPSIS, at the same time VIKOR method can get the compromise solution with priority, researchers are encouraged to carry on comparative study further.

The paper includes interval grey-stochastic multi-attribute decision-making method and implications. The validity and feasibility of the method are illustrated by a case.

This paper proposes a VIKOR method based on prospect theory in which probabilities and the attribute value are both interval grey numbers. At the same time, a new interval grey number entropy is put forward, which is used to calculate the index weight of unknown.

The purpose of this paper is to provide a commentary on “Remaining consistent with method? An analysis of grounded theory research in accounting”, a paper by Gurd.

Like Gurd, the authors conducted a bibliographic study on prior pieces of research claiming the use of grounded theory.

The authors found a large diversity of ways of doing grounded theory. There are as many ways as articles. Consistent with the spirit of grounded theory, the field suggested the research questions, methods and verifiability criteria. From the same sample as Gurd, the authors arrived at different conclusions.

In our research, the authors did not verify the consistency of claims with grounded theory. The authors took for granted that the article authors had understood and made operational the suggestions of the founders of the method.

The four canons of grounded theory can be considered as reference marks rather than as the rules of the method. Accordingly, the researcher is free to develop his or her own techniques and procedures.

This paper stimulates debate on grounded theory‐based research. On the other hand, it conveys the richness and the variety of interpretive research. Two similar studies, using similar samples and methods, arrive at different (divergent) conclusions.

Drawing on data from 399 Swedish doctoral theses, this chapter explores the epistemological foundations of higher education research. Using an analytical framework whose elements are the institutional organization of researchers and knowledge, the object of study, and the object of knowledge, we found that higher education research is mainly a concern for the older universities and for research subjects within the educational sciences and, secondarily, the social sciences. The prime objects of study are topics related to teaching, followed by issues of system policy, institutional management, and knowledge work. Studies of academic work and quality are almost non-existent, and comparative studies and international perspectives are rare. Regarding the object of knowledge, doctoral students’ choices of research approaches, theories, and methods point to a diversified analytical toolbox, although dominated by text-based analyses and qualitative methods, especially interviews and documentary studies, and a range of learning and institutional theories.

Restates the case for accounting and management research from a grounded theory perspective, and advocates its informed and more frequent application. Examines the intellectual foundations and key tenets of grounded theory in the context of researchers’ theoretical assumptions and methodological characteristics, discussed in relation to Laughlin’s (1995) classification schema. Pays particular attention to grounded theory assumptions and methods in relation to other interpretive paradigms such as symbolic interactionism, ethnomethodology and hermeneutics. Describes the basic principles and methods of grounded theory research, and presents potential applications to the accounting and management research arenas. Argues that rigorous grounded theory research can offer the accounting and management literatures unique understandings that provide additional perspectives to those already being offered by major schools of thought, and discusses implications of grounded theory for informing contemporary professional practice.

This chapter argues that the primary reason for the underdeveloped state of microfoundations research in language and communications studies is methodological. It asserts that the long-standing methodological division between micro and macro analyses (traditionally small-scale and large-scale, respectively) has led to their continued theoretical separation. The paper draws from Giddens’ theory of structuration and newly developed computational methods to outline an alternative, mixed-methods framework for discourse analysis that the author calls Recursive Analysis (RA). The author demonstrates the application of the RA framework through a case study of the electric vehicle industry that aligns small-scale and large-scale textual analysis to generate theoretical insights.

The purpose of this study is to analyze state-of-the-art knowledge of artificial intelligence (AI) research in hospitality.

This study adopts the theory-context-methods framework to systematically review 100 AI-related articles recently published (i.e. from 2021 to April 2023) in three top-tier hospitality journals, namely, the International Journal of Contemporary Hospitality Management, International Journal of Hospitality Management and Journal of Hospitality Marketing and Management.

Findings suggest that studies of AI applications in hospitality are mostly theory-driven, whereas most AI methods research adopts a data-driven approach. State-of-the-art AI applications research exhibits the most interest in service robots. In AI methods research, little attention was paid to the amid-service/experience.

This study reveals inadequacies in theory, context and methods in contemporary AI research. More research from hospitality suppliers’ perspectives and research on generative AI applications are advocated in response to the unveiled research gaps and recent AI developments.

This study classifies the most recent AI research in hospitality into two main streams – AI applications research and AI methods research – and discusses the gaps in each research stream and latest AI developments. The paper then suggests future research directions to guide researchers in advancing AI research in hospitality.

In the supply chain disruption risk, the issue of supplier evaluation and selection is solved by an extended VIKOR method based on regret theory.

Considering the influence of irrational emotions of decision makers, an evaluation model is designed by the regret theory and VIKOR method, which makes the decision-making process closer to reality.

The paper has some innovations in the evaluation index system and evaluation model construction. The method has good stability under the risk of supply chain interruption.

The mixed evaluation information is used to describe the attributes, and the evaluation index system is constructed by the combined method of the social network analysis method and the literature research method to ensure the accuracy and accuracy of the extracted attributes. The issue of supplier evaluation and selection is solved by an extended VIKOR method based on regret theory.

The purpose of this paper is to summarize the advances in grey system theory research and various application achievements in science and engineering. At the same time, it commemorates the 40th anniversary of the birth of grey system theory and the 10th anniversary of Grey Systems–Theory and Application.

Firstly, the innovations of theoretical research in grey system theory were summarized and some of the widely recognized new results are briefly described. By searching and combing the research results of grey system theory in China national knowledge infrastructure (CNKI) database and Web of Science by Institute for Scientific Information (ISI), this paper shows the rapid development trend of grey system theory in the past 40 years, and the successful applications of grey system theory in the fields of social sciences, natural sciences and engineering technologies.

More than 227 thousands literature were found by input 10 phrases such as grey system, grey number and sequence operator etc. in CNKI database. After entering the new century, the number of grey system papers included in CNKI database is increasing rapidly. Since 2008, more than 10 thousands papers have been included per year and more than 15 thousands papers have been included per year since 2014. Grey system method and model are widely used in physics, chemistry, biology and other fields of natural science, as well as transportation, electric power, machinery and other fields of engineering technology, and a large number of valuable results have been achieved.

It can be seen that the grey system theory plays an important role in promoting China’s scientific and technological progress, innovation and development and high-level talent training from tens of thousands of literatures marked with important national science and technology projects and a large number of grey system literatures published by China’s double first-class universities and double first-class discipline construction universities.

Both innovations of theoretical research and practical application play important role in the growth of new theory. The innovations of theoretical research provide methods and tools for practical application, which is conducive to improve application efficiency and broaden application fields. A large number of practical applications needs have become the source of theoretical innovation and the solid background for the birth of theoretical innovation achievements.

The purpose of this paper is to provide a response to the commentary of Lowe, De Loo and Nama concerning the authors’ previous article, which was published in Accounting, Auditing & Accountability Journal, Volume 27 Number 8.

The authors address the main points of the commentary by Lowe et al.

In addressing each of these issues, the authors point out a few misunderstandings included in the critique as well as make an attempt to further clarify the previous argument.

The authors maintain that distinguishing between domain theory and method theory in accounting research will be of help to researchers in several ways.