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For more than four decades, scholars from diverse disciplines and countries have been interested in the act of whistleblowing. To battle financial fraud, financial regulators have been developing whistleblowing programs to motivate and protect whistleblowers, i.e. those who sound the alarm after witnessing an illegal act in their organization. The purpose of this article is to review five historical phases of whistleblowing research. The authors analyze the themes covered by whistleblowing studies conducted over the past 50 years and draw a snapshot of the evolution of whistleblowing research.

The authors examine academic papers published between 1970 and 2022 and inventory the disciplines involved in the literature and changes in the definition of whistleblowing.

The findings show the progress made in academic research (especially for the accounting discipline) regarding whistleblowing. The themes covered by academic studies became progressively diverse. However, this broader scope limited the depth of analysis and the level of self-criticism in the academic research. All but a few articles fail to view whistleblowing in light of its actual level of complexity, and the rationale behind limiting the definition of whistleblowing can only increase this myopia. Although most academic studies have adopted Near and Miceli (1985) definition of whistleblowing, the literature has yet to reach a consensus. Indeed, the analysis shows that Near and Miceli’s (1985) definition of whistleblowing is incomplete and narrow by today’s standards, not to mention out of step with regulators’ needs.

The main contributions are offering a big picture of whistleblowing academic research's evolution and proposing a more complete and updated view of this act.

Technology 4.0 comes with a challenge to understand the degree of users’ willingness to adopt a digital transformation. Metaverse, being a digital transformation, enables real-world activities in the virtual environment, which attracts organizations to adopt the new fascinating technology. This paper thus explores the uses and gratification factors affecting user adoption and recommendation of metaverse from the management perspective.

The study adopts a mixed approach where structural topic modeling is used to analyze tweets about the metaverse, and the themes uncovered from structural topic modeling were further analyzed through data collection using structural equation modeling.

The analyses revealed that social interaction, escapism, convenient navigability, and telepresence significantly affect adoption intent and recommendation to use metaverse, while the trendiness showed insignificance. In the metaverse, users can embody avatars or digital representations, users can express themselves, communicate nonverbally, and interact with others in a more natural and intuitive manner.

This paper contributes to research as it is the first of its kind to explore the factors affecting adoption intent and recommendation to use metaverse using Uses and Gratification theory in a mixed approach. Moreover, the authors performed a two-step study involving both qualitative and quantitative techniques, giving a new perspective to the metaverse-related study.

This study aims to develop and test a model of the antecedents, mediators and consequences of the glass cliff phenomenon through public sector service organizations in Iran to explore more insights on gender inequality in managerial positions.

The current research was conducted based on a mixed-method approach, using both qualitative and quantitative research designs. First, the qualitative method includes content analysis by conducting semi-structured interviews with 20 university professors and expert managers working in public sector service organizations in Iran. The outcomes of the qualitative phase lead to designing the conceptual framework and research hypothesis. Then, through a quantitative phase, 384 female managers working in public sector service organizations in Iran are selected using stratified random sampling and fill out the research questionnaire. The exploratory factor analysis was used to verify the model. Moreover, structural equation modeling, using AMOS 24, was used to test the research hypothesis.

The findings of the qualitative phase were represented in three categories including antecedents (e.g. the characteristics of women’s leadership, the selection of women based on meritocracy criteria, women’s preferences and organizational factors), mediation effect (e.g. succession planning, personal development planning and support networks) and consequences of the glass cliff phenomenon (e.g. positive and negative consequences). The results of the exploratory factor analysis show there are ten components, explaining 88.5% of variances. Moreover, the test of the structural model supports the direct effect of antecedents on the glass cliff phenomenon. The results also show the effect of the glass cliff phenomenon on consequences through mediation effects.

There are some limitations that can be addressed by other researchers. Accordingly, the limited number of female managers in Iran prevented larger quantitative research. Moreover, the current research only found casual and mediation consequences of the glass cliff phenomenon, and potential moderators were not considered in this study.

The present study’s innovations may include using a mixed-method approach to investigate the antecedents, mediators and consequences of the glass cliff phenomenon in this study and examining the model constructs in some public sector service organizations. This research may provide a deep understanding of the antecedents, mediators and consequences of the glass cliff phenomenon by finding new factors using a mixed-method approach.