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In current vista of corporate governance (CG), whistleblowing (WB) has become critical for practitioners, researchers and other stakeholders. This study aims to identify, prioritize and analyze the interrelationships of determinants of effective WB on the basis of opinion of a medium-sized panel of experts.

It is a cross-sectional descriptive study conducted in the field setting. A self-administered structured questionnaire was used to collect primary data from the respondents. This study follows an interpretive structural modeling (ISM) approach.

This study found that the factor “specific law for WB” has maximum driving power but minimum dependence and occupies bottom level (the most critical level) in the ISM model. The Matrice d’Impacts Croisés Multiplication Appliquée á un Classement analysis revealed that there is no autonomous and dependent factor in the model. There are eight linking factors and only one independent factor.

The study found that the factor “specific law for WB” has maximum driving power but minimum dependence and occupies bottom level (the most critical level) in the ISM model. The Matrice d'Impacts Croisés Multiplication Appliquée á un Classement analysis revealed that there is no autonomous and no clear-cut dependent factor in the model. There are eight linking factors out of which five have high dependence as well, and there is only one independent factor.

This study has ensued in identification of significant challenging issues in WB and in development of interrelationships to gain insights into priority of these issues. This study uses limited primary data in context of Pakistan; therefore, generalizability of the findings is limited.

This study presents a novel theoretical and conceptual model focused on effective WB. The value of the study on effective WB is highly relevant for today’s complex organizations but incipient in literature. The insights provided by the study have vital importance for corporations to embark on the regime of reforms in CG.

The study aims to investigate the barriers in implementing social distancing at the workplace as an aftermath of the COVID-19 pandemic period.

Study design consists of a review of literature, data collection and analysis. It encompasses identification, verification and analysis of the relationships among the barriers. Data have been collected from a panel of experts on matrix-type questionnaires from workplaces. Interpretive structural modeling (ISM) augmented with “Matrice d' Impacts Croise's Multiplication Appliquée a UN Classement (Cross Impact Matrix Multiplication Applied to Classification)” (MICMAC) for structural analysis.

The literature has identified twenty major barriers to implementing social distancing at the workplace. The research findings reveal/show that the barrier “matter of disrespect” occupies the bottom level in the ISM model. Therefore, it is the most critical barrier; whereas, employees with disabilities and “herding culture” are crucial as they occupy the next lowest level, therefore, are crucial. Moreover, there are ten barriers positioned in the middle of the model having moderate-severe effects, and seven falls on the top level of the model having relatively less severe effects. Results of MICMAC affirm and avow the results of ISM.

The study will have profound theoretical and practical implications for stakeholders since it provides lot of new useful and valuable information, gives relational insights and determines priorities subject to usual limitations of survey research.

It is an original attempt to make some sense of practicability of social distancing for stakeholders including policymakers, frontline health workers and public at large.