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Drawing on the social identity theory, this paper explores the impact of rider–driver ethnicity match on the driver’s expected ride satisfaction and willingness to perform, and rider’s trust on the driver.

The study relies on scenario-based online experiments with 291 ride-hailing drivers and 282 riders in the USA.

The findings indicate that ethnicity match between ride-hailing drivers and riders positively impact driver’s ride satisfaction and willingness to perform, and rider’s trust in the driver. The study also revealed a significant positive moderation effect of ethnic identity on the relationship of ethnicity match and those constructs.

While it may be challenging to influence an individual’s level of ethnic identity, managers can take steps to educate and train their employees regarding the impact of ethnic identity and discrimination, with a particular focus on those individuals who possess a strong sense of ethnic identity.

The findings of this research provide theoretical contributions to the existing literature on ride-hailing services and adds to the limited stream of logistics research that examines the impact of ethnicity on ride-hailing operations.

Sustainability is increasingly at the forefront of the public debate in Europe and the world. However, despite this increased interest, research seems to have partially ignored the importance of its social dimension and the issues related to social equity, people care, protection and personal development at all stages of society and, consequently, of business. Accordingly, this paper aims at investigating the “soft” dimensions of sustainability, integrating its mainstream “technical storyline” with a “human/social storyline”.

In this paper a taxonomy of the main key drivers of the soft dimension of sustainability is proposed and tested on a sample of Italian companies. Through interviews with their managers, actions and needs in terms of sustainability soft drivers are identified.

The achieved results demonstrated that the case companies differently integrated the soft dimensions of sustainability within their companies. All the sample companies are aware of the role of social sustainability. According to the proposed taxonomy, the systemic drivers of soft sustainability are the main shared ones.

The paper provides new insights into the essence of the organizational soft dimensions and their centrality in the overall achievement of sustainability for companies. It also offers managerial insights into how to effectively manage these dimensions and policy implications about the need for clearer consideration.

The purpose of this study is to synthesize the current turnover literature that has investigated the nonfinancial antecedents of turnover intention across generations. This paper provides an integrative and analytical review of prior empirical studies with two research questions: What nonfinancial factors influencing employee turnover have been empirically identified across different generations? and What generational commonalities and uniqueness exist among the turnover antecedents?

To identify nonfinancial antecedents of employee turnover, an integrative literature review that allows a systematic process of searching and selecting literature was conducted. While synthesizing the antecedents identified in the articles, the authors were able to categorize them at three different levels: individual, group and organizational

The authors discuss each antecedent according to three categories: individual, group and organizational levels. Based on the findings from the first research question, the authors further explore the commonalities and uniqueness among three generations (i.e. Millennials, Generation X and older workers).

This study found both generational commonalities and uniqueness in terms of turnover intention antecedents. Based on the findings of the study, the authors discuss how to facilitate these common factors across all generations as well as considering the factors unique to each generation. Differentiation within organizations regarding retention strategies should yield positive results for both employees and organizations.

The purpose of this study is to investigate the behavior of individual employee's performance concerning their organizational citizenship and turnover intention in the higher education sector. This study attempts to examine the effects of two potential sequential mediators – job satisfaction and employee engagement – on employees' job embeddedness, organizational citizenship behavior, and turnover intention.

This study is based on a survey conducted among the employees of major universities in the Republic of Korea. A total of 213 valid responses are used to analyze the hypotheses.

The results suggest that the relationship between job embeddedness and organizational citizenship behavior is significantly mediated by job satisfaction. However, the mediating role of job satisfaction on the link between job embeddedness and employees' intention to leave is not significant. Relatedly, employee engagement has a significant mediating effect on job embeddedness and organizational citizenship behavior but no demonstrable mediating effect between job embeddedness and employees' turnover intentions.

The results provide guidance that can assist organizations in increasing their employees' organizational citizenship behavior and lowering their intentions to leave, particularly in the education sector.

This study contributes to existing knowledge regarding the roles that job satisfaction and employee engagement play as two potential sequential mediators in the relation between job embeddedness and organizational citizenship behavior.

Although event industry employees are predominantly female, there is a critical scarcity of women in leadership roles. Like other industries worldwide, women in the events industry experience several barriers to leadership roles. The unique characteristics of the events industry exacerbate these barriers and have led to more women leaving the company or even the industry. This study aims to investigate the impact of leadership barriers, including the perception of a glass ceiling and the importance of leadership skills in promotion decisions on career satisfaction, work-family conflict and turnover intention of employees in the events industry.

Data was collected from members of an international event association, and 427 responses were analyzed using partial least squares structural equation modeling.

Findings suggested the perception of a glass ceiling and the importance of leadership skills in promotion can impact career satisfaction, work-family conflict and turnover intention of employees in the events industry.

This study extends the scope of research on leadership barriers beyond assessing their causes by analyzing their outcomes in the event industry. To the best of the authors’ knowledge, this study is one of the first in event research and the broader hospitality industry to consider the perceptions of male and female employees regarding leadership barriers by using a foundation of the social role theory.

Leveraging the mindfulness theory and the social exchange theory, this study examines the influence of perceived leader mindfulness (PLM) on turnover intentions (TOI) of non-family employees (NFEs) working in family firms. The study investigates whether the above relationship is mediated by employee perceptions of leader–member exchange quality (LMX quality) and their affective commitment (AC).

A conceptual framework is proposed that hypothesizes inverse relationship between PLM and TOI, which is posited to be mediated by both LMX quality and AC. The hypotheses are tested through survey data collected from 254 NFEs working in various family-owned businesses in Malaysia. The data analyzed through partial least square structural equation modeling (PLS-SEM).

The results indicate that PLM has a positive influence on both LMX quality and AC. Moreover, PLM has a strong negative affect on TOI. In terms of results of mediation analysis, it appears that two mediation hypotheses out of four are significant, that is mediating effect of AC between PLM and TOI and LMX quality between PLM and AC. However, the mediating role of LMX quality between PLM and TOI and the sequential mediation hypotheses were both non-significant.

The findings of the study imply is that to ensure retention of qualified and talented NFEs, mindfulness of family firm leaders plays a significant role in ensuring lower TOI. Furthermore, such a goal is better achieved by ensuring that such employees are supported through leadership that leads to their development of better LMX quality and AC towards the organization. The study however is limited, as other potential exogenous variables that may influence TOI were not considered.

Losing employees that join a firm and acquire valuable skills and experience is a significant concern for family firms that are known for discriminating between employees related to the owners and outsiders. This study presents evidence for owners and managers of family firms that by focusing on mindful behavior and working towards developing better LMX quality and AC of NFEs, the organization can reduce TOI of such employees.

This study contributes to the under-researched and fragmented literature on relationships between PLM among NFEs and TOI of such individuals working in family firms. Moreover, this appears to be the first study that investigates mediating roles of and LMX quality and AC among NFEs in the above relationship.

The paper explores the notion of worker voice in terms of its implications for supply chain justice. The paper proposes the value of the recognition perspective on social justice for framing workers’ experiences in global supply chains and identifies opportunities for the advancement of the worker voice agenda with recognition justice in mind.

The paper adopts a conceptual approach to explore the notion of worker voice in supply chains in terms of the recognition perspective on social justice.

Sustainable supply chain management (SSCM) scholarship has considered worker voice in terms of two key paradigms, which we term communication and representation. To address recognition justice for workers in global supply chains, the worker voice agenda must consider designing worker voice mechanisms to close recognition gaps for workers with marginalised identities; the shared responsibilities of supply chain actors to listen alongside the expectation of workers to use their voice; and the expansion of the concept of worker voice to cut across home-work boundaries.

The paper offers conceptual clarity on the emerging notion of worker voice in SSCM and is the first to interrogate the implications of recognition justice for the emergent worker voice agenda. It articulates key opportunities for future research to further operationalise worker voice upon a recognition foundation.

This paper aims to provide readers with a comprehensive overview of the current state of the millennial literature, highlighting the significance and challenges of millennial professionals, their reported high turnover and the various recommendations designed to engage and retain them.

An integrated review approach was applied to synthesise contemporary peer-reviewed articles, supplemented by legacy and grey literature and relevant book chapters, to comprehensively explore and construct a cohesive overview of the current research on the millennial workforce.

Within the wealth of available information, examining the various studies on millennial turnover reveals diverse theories, evidence and opportunities for advancement, underscoring the necessity for more robust empirical studies. The investigation identified three overarching retention strategy themes: (1) intergenerational conflict management, (2) workplace adaptations and (3) solutions rooted in a protean career orientation. In alignment with protean career concepts, coaching shows promise as an underexplored option.

This article holds practical significance by offering researchers a comprehensive and cohesive overview of the millennial literature. Additionally, it gives organisations a novel perspective on the crucial role coaching can play in engaging and retaining millennial employees.

The increased focus on retaining millennial workers in recent decades has spurred a proliferation of articles and books on this subject. However, this body of research remains fragmented, lacking an overview that provides a clear picture of its current state. This review aims to bridge this gap.

Algorithms are widely used to manage various activities in the gig economy. Online car-hailing platforms, such as Uber and Lyft, are exemplary embodiments of such algorithmic management, where drivers are managed by algorithms for task allocation, work monitoring and performance evaluation. Despite employing substantially, the platforms face the challenge of maintaining and fostering drivers' work engagement. Thus, this study aims to examine how the algorithmic management of online car-hailing platforms affects drivers' work engagement.

Drawing on the transactional theory of stress, the authors examined the effects of algorithmic monitoring and fairness on online car-hailing drivers' work engagement and revealed the mediation effects of challenge-hindrance appraisals. Based on survey data collected from 364 drivers, the authors' hypotheses were examined using partial least squares structural equation modeling (PLS-SEM). The authors also applied path comparison analyses to further compare the effects of algorithmic monitoring and fairness on the two types of appraisals.

This study finds that online car-hailing drivers' challenge-hindrance appraisals mediate the relationship between algorithmic management characteristics and work engagement. Algorithmic monitoring positively affects both challenge and hindrance appraisals in online car-hailing drivers. However, algorithmic fairness promotes challenge appraisal and reduces hindrance appraisal. Consequently, challenge and hindrance appraisals lead to higher and lower work engagement, respectively. Further, the additional path comparison analysis showed that the hindering effect of algorithmic monitoring exceeds its challenging effect, and the challenge-promoting effect of algorithmic fairness is greater than the algorithm's hindrance-reducing effect.

This paper reveals the underlying mechanisms concerning how algorithmic monitoring and fairness affect online car-hailing drivers' work engagement and fills the gap in the research on algorithmic management in the context of online car-hailing platforms. The authors' findings also provide practical guidance for online car-hailing platforms on how to improve the platforms' algorithmic management systems.

Online employee reviews have emerged as a crucial information source for business managers to evaluate employee behavior and firm performance. The purpose of this paper is to test the relationship between employee personality traits, derived from online employee reviews and job satisfaction and turnover behavior at the individual level.

The authors apply text-mining techniques to extract personality traits from online employee reviews on Indeed.com based on the Big Five theory. They also apply a machine learning classification algorithm to demonstrate that incorporating personality traits can significantly enhance employee turnover prediction accuracy.

Personality traits such as agreeableness, conscientiousness and openness are positively associated with job satisfaction, while extraversion and neuroticism are negatively related to job satisfaction. Moreover, the impact of personality traits on overall job satisfaction is stronger for former employees than for current employees. Personality traits are significantly linked to employee turnover behavior, with a one-unit increase in the neuroticism score raising the probability of an employee becoming a former employee by 0.6%.

These findings have implications for firm managers looking to gain insights into employee online review behavior and improve firm performance. Online employee review websites are recommended to include the identified personality traits.

This study identifies employee personality traits from automated analysis of employee-generated data and verifies their relationship with employee satisfaction and employee turnover, providing new insights into the development of human resources in the era of big data.