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The purpose of this paper is to examine the mediating role of organizational identification (OI) and the moderating role of adaptive personality (AP) between exploitative leadership (EL) and constructive voice (CV) relationship.

This study samples 154 full-time employees from Saudi Arabia and records their self-reported responses to closed-ended items in the survey. Hierarchical regression and PROCESS Macro are used for the analysis.

Utilizing social identity theory and social exchange theory, the authors demonstrate EL adversely affect CV through OI. AP also moderates EL-OI relationships. The indirect effects of EL on CV via OI are moderated by AP. In other words, adaptive employees are more likely to neutralize the adverse effects of such exploitation by adapting to the situation.

Human resource professionals and organizations must identify indicators of EL when evaluating job candidates. Organizations should also adopt communication systems that encourage employees to report any misconduct. Finally, organizations should speak out against exploitative leaders and educate their employees on ethics.

The originality is in extending the nomological network of EL to incorporate reduced employee OI and constructive deviance. It also discusses how adaptive employees mitigate exploitative behavior's negative effects.

Entrepreneurial trait and behaviour approaches are used to identify differing entrepreneurial profiles. Specifically, this study aims to determine which entrepreneurial competencies (ECs) can predict entrepreneurial action (EA) for distinct profiles, such as male versus female, start-up versus established and for entrepreneurs within different age groups and educational levels.

The research was conducted using a survey method on a large sample of 1,150 South African entrepreneurs. Chi-squared automatic interaction detection (CHAID) algorithms were used to build decision trees to illustrate distinct entrepreneurial profiles.

Each profile has a different set of ECs that predict EA, with a growth mindset being the most significant predictor of action. Therefore, this study confirms that a “one-size-fits-all” approach cannot be applied when profiling entrepreneurs.

From a pedagogical standpoint, different combinations of these ECs for each profile provide priority information for identification of appropriate candidates (e.g. the highest potential for success) and training initiatives, effective pedagogies and programme design (e.g. which individual ECs should be trained and how should they be trained).

Previous work has mostly focused on demographic variables and included a single sample to profile entrepreneurs. This study maintains much wider applicability in terms of examining profiles in a systematic way. The large sample size supports quantitative analysis of the comparisons between different entrepreneurial profiles using unconventional analyses. Furthermore, as far as can be determined, this represents the first CHAID conducted in a developing country context, especially South Africa, focusing on individual ECs predicting EA.