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Although it is a relatively recent conceptualization of malevolent personality, the dark triad (DT) has been widely researched and shown to be responsible for increases in physical violence, controlling behavior, short-term mating preferences and poor relationship quality. This study aims to investigate whether DT traits predict acceptance toward intimate partner violence (IPV) in the general population, addressing a gap in the literature regarding predictors of harmful attitudes toward romantic relationships.

In total, 150 adults aged 18–74 (76% women) completed two self-report questionnaires: the short DT and the IPV attitude scale-revised.

A series of hierarchical multiple regression analyses were conducted, with gender as predictor in the first models and DT traits added as predictors in second models. The results showed that male participants were more accepting of IPV than female participants. Over and above the contribution of gender, psychopathy and Machiavellianism positively predicted overall IPV acceptance, but narcissism did not. Psychopathy and Machiavellianism positively predicted acceptance of psychological abuse, and psychopathy positively predicted acceptance of controlling behaviors. Narcissism did not predict any facet of IPV acceptance.

To the best of the authors’ knowledge, as the first study to explore the roles of DT traits in acceptance of IPV behaviors, the results contribute to the understanding of how these traits may predispose individuals to harmful intimate partner behaviors. These findings can inform IPV prevention efforts to aid in the early identification of individuals who hold maladaptive beliefs surrounding romantic relationships.

The purpose of this study is to explore and prioritize the factors that determine the social insurance contribution of unorganized workers.

A two-stage procedure was adopted to recognize and prioritize factors influencing the social insurance participation of unorganized workers: first, crucial factors influencing unorganized workers’ contribution towards social insurance were identified by employing exploratory factor analysis, and in the second phase, the fuzzy analytical hierarchal process was applied to rank the specified criteria and then sub-criteria by assigning weights.

Four broad factors were identified, namely, economic, political, operational and socio-psychological, that significantly influence unorganized workers’ contribution towards social insurance. Later findings revealed that the prime influencer of unorganized workers’ contribution is employment contracts followed by average earnings, delivery of quality services, eligibility and accessibility.

The research findings are feasible as the basic propositions are based on real-world scenario. The identification and ranking of factors have the potential to be used as a checklist for policymakers when designing pension and social insurance for unorganized workers. If it is not possible to consider all, the criteria and sub-criteria assigned upper rank can be given priority to extend pension coverage for a large group of working poor.

The key factors driving social insurance contributions have been highlighted by studying the stakeholders’ perceptions at a micro level. By comprehending the challenges, there is a possibility of covering a large section of the working poor into social insurance coverage.

This paper is believed to be one of its kinds to acknowledge a combination of factors that determine the contribution of unorganized workers to social insurance. This study is an empirical investigation to prioritize the essential drivers of social insurance participation by low-income cohorts in the context of emerging countries. The present approach of employing fuzzy logic has also very limited use in social insurance literature yet.

The authors investigate the adoption of nomination committees in Australia and identify the managerial power perspective as one explanation for firms not establishing nomination committees. A positive outcome of establishing a nomination committee from the perspective of board diversity is also examined.

The authors adopt an archival approach by collecting data for firms listed on the Australian Securities Exchange (ASX) during the period 2010 to 2018. The authors establish the prevalence of nomination committees for small medium and large Australian firms. Regression analyses are used to determine whether the power of the chief executive officer (CEO) influences the adoption of a nomination committee. The association between having nomination committee and board diversity is also analyzed using regression analyses.

Less than half of firms adopt a nomination committee. Larger firms are more likely to adopt a nomination committee than medium and smaller sized firms. Firms with less powerful CEOs are more likely to adopt a nomination committee. Adoption of a nomination committee is also associated with greater board tenure dispersion and board gender diversity in medium and smaller sized firms.

Evidence on nomination committees provides original research that extends previous research focusing on the audit, risk and remuneration committees and samples restricted to large firms. The nomination committee has an important role to play in the appointment of directors yet limited evidence exists of the adoption rate, explanation for non-adoption and benefits of adoption. The authors add to this evidence.