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This research aims to investigate whether, in a principal–agent relationship, personal characteristics of the agent (seniority, locus of control (LOC), self-efficacy (SE), risk appetite (RA)) have an impact on their performance, on costs for the principal and on organizational justice (distributive justice (DJ) especially) in a sample of insurance brokers.

The adopted structural equation modeling (SEM) analysis highlights the different role that personal characteristics play in affecting or moderating the agent’s performance. Moreover, the mediation analysis highlights the role played by gender and tenure in moderating the relationship between personal characteristics and work outcomes.

The findings of this study suggest that an agency relationship is not based only on rational choices made by the principal and agent in their own self-interest, but also by other idiosyncratic factors that influence the outcome of the relationship.

In order to better understand the agent’s behaviour, agency relationship investigation should consider other psychological variables in addition to the traditionally considered risk orientation, uncertainty and information asymmetry.

This study gives specific insights into preventing undesired behaviours, e.g. organizational withdrawal, opportunism, high staff/employee turnover, as advocated by current literature.

By systemically investigating and analysing personal characteristics of the agent such as LOC, agent’s SE and RA, this study provides an original contribution to the knowledge on the determinants of costs and effectiveness in the agency relationship.

This research paper aims to integrate the employee-related factors that empirical literature considers antecedents of performance (skills, work motivation, personal characteristics) into a multiple linear regression model, and to test such a model in order to measure the level of each individual factor on the performance.

Quantitative, multisource research approach. After testing the validity of the model with a Confirmatory Factor Analysis, this research applies the multiple linear regression model Work performance = a(Skills) + b(Work Motivation) + c(Personal Characteristics) + e(constant) to two different samples of workers: chemical technicians (N = 63) and salespeople (N = 61).

This study confirms the factorial structure of the antecedents of work performance, showing that skills, motivation, and personal characteristics are three general employee-related factors underlying work performance. The statistical analysis highlights a variance in performance between 40 and 65% explained by employee-related factors, hence leaving 35–60% as due to factors outside the model (firm/environment-related and/or job-related factors, or other skills and personal characteristics not considered in the model). The study also highlights that employee-related factors sometimes affect performance differently than job designers' expectations, and sometimes even negatively.

The equation was tested on two case studies, so further explorations are needed. Furthermore, the approach adopted is inductive thus describing performance as it is, not as it should be. Therefore, it explains the best actual performance of workers, not the ideal performance.

The equation tested here represents a simple and valid tool to guide many Human Resource Management practices, such as; selection, training, development, and career orientation.

Findings provide a valid indication for designing and managing human resource management systems more even-handedly, from an organizational and employee point of view. In doing so, it drives organizations towards a better Person/Job fit.

The study represents one of the first attempts to take into consideration multiple factors simultaneously in explaining work performance.

Leveraging upper echelon theory and knowledge-based view of the firm, this paper aims to explore how chief executive officers’ (CEO) sustainability orientation influences explorative and exploitative knowledge management practices, which in turn influence incremental and radical sustainable innovation under boundary conditions of CEOs’ temporal focus and regional affiliation in the home country.

This study used a nonprobability convenience sampling strategy. Using survey-based research, the authors tested the study hypotheses using partial least squares structural equation modeling on a sample of 298 CEOs from Indian small and medium enterprises. This study also tested the reliability and validity of the study variables by using internal consistency tests and convergent and discriminant validity procedures.

The study finds that CEO sustainability orientation affects incremental and radical sustainable innovation via the mediating effect of explorative and exploitative knowledge management practices. Furthermore, CEOs’ past temporal focus increases the influence of orientation on exploitative knowledge management. In contrast, future temporal focus increases the influence of CEO sustainability orientation on exploratory knowledge management practices. Finally, CEOs from the southwest, west and northwest regions of India increase the influence of exploratory knowledge management on radical sustainable innovation.

This study has significant implications for understanding upper-echelon factors that drive knowledge management practices. CEO temporal focus (time orientation) and demographic aspects (regional affiliation) influence CEOs’ investment in different knowledge management and, hence, sustainable innovation management practices. However, this study does not explore cross-cultural differences and the role of the entire top management team in influencing sustainability values on sustainability innovation via knowledge management practices.

This study comprehends upper-echelon factors that drive investment in knowledge management and sustainable innovation practices. Findings imply that CEOs with past and future temporal focus can influence sustainable innovation, but their investment in knowledge management strategies differs. Past temporal-focused CEOs invest more in exploitative and future temporal focus more in explorative knowledge management for influencing sustainable innovation.

The study provides novel insights into the influence of upper-echelon traits on knowledge management and sustainable innovation practices. Extant literature has largely explored firm-level factors such as organizational culture influencing a firm's knowledge management practices. However, by integrating the upper echelon with the knowledge-based view of the firm, we explain how the traits of the CEO, especially the temporal perspective, influence knowledge management and sustainable innovation practices of firms.

This study explores whether ethnic minorities exhibit varying levels of income inequality compared to the host population.

The research leverages a unique immigration event in Italy, specifically the settlement of multiple Albanian groups in southern Italy during the 16th century. This historical occurrence enables an investigation into the role of cultural traits in income inequality, as these groups are situated in the same geographical region and often share borders.

The results, which remain consistent after undergoing various robustness checks, indicate that Albanian villages, while still preserving their identity and tradition, tend to experience an approximately 2% lower level of income concentration compared to similar Italian municipalities.

Our findings aim to provide supporting evidence for future policy considerations regarding the long-term impact of immigration on income inequality.