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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.

In the competitive retailing environment, retailers who provide service experiences that stand out from the competition can gain a competitive advantage. Increasingly, an important aspect of the service experience involves product returns, in particular, the fairness of returns policies and procedures. Previous research studies support that interpersonal justice and informational justice relate positively to consumer attitudes and behaviors. In this paper, the authors examine the relative effects of interpersonal justice and informational justice on return satisfaction, positive word-of-mouth (PWOM) and trust. Additionally, the authors examine the moderating effects of returns process convenience and returns policy restrictiveness as indicators of procedural justice.

A scenario-based experiment methodology was used to test the relationships of interest.

Results support that the effects of interpersonal justice on the outcome variables are stronger than the effects of informational justice. There is also support for a moderating effect of returns process convenience on the relationships between interpersonal justice and each outcome variable, as well as partial support for the moderating effect of returns policy restrictiveness on the relationship between interpersonal justice and PWOM.

The research extends previous work on the effects of justice on customer outcomes. Results support the importance of retailers treating customers with fairness during the returns experience and further support the benefits of providing a convenient returns experience.

Organizational justice and its impact on employee commitment have received a lot of attention these days. The objective of this study is to see the effect of job satisfaction as a mediator in the relationship between organizational justice and employee commitment. Also, the role of academic rank as a moderator in the model is probed.

A moderating mediation structural equation model was used for randomly collected cross-section data on 285 employees from public universities in Ethiopia. Necessary condition analysis (NCA) was employed to check the importance of the variables. The Gaussian copula approach was used to check endogeneity in the structural model.

NCA confirms the importance of organizational justice and employee satisfaction as the independent variables. The Gaussian copula approach reveals no endogeneity problems in the structural model. The results supported the partial mediating role of job satisfaction in organizational justice and academic staff’s commitment. Moreover, though staff rank is not a necessary condition, it plays the role of moderator in the relationship between academic staff’s job satisfaction and commitment.

This paper affirms that public institutions must implement fair initiatives and procedures to promote academic staff satisfaction and commitment.

This is the first study to check the job rank as a moderator in the model comprising organization justice, employee commitment and satisfaction. Moreover, application of NCA and Gaussian copula adds to methodological innovation.

The authors analysed fairness as an antecedent of trust to understand how trust building can be actively managed to facilitate collaboration in buyer–supplier relationships.

A case study was employed to buyer–supplier relationships of five organic food companies from three different sectors. The research was developed with data collected in 2022 through qualitative research interviews and analysed using a structured content analysis. A practitioner workshop served to complement findings and confirm the interpretation of data by discussing interview results from a managerial perspective.

A conceptual model based on organisational trust and justice theory was developed to examine causal relations between fairness and trust. Findings show that perceived distributional, procedural and interactional fairness mutually interact with the perceived trustworthiness of business partners and that both contribute to building personal, organisational and institutional trust. Qualitative data support the conceptual model and show that trust is a valuable relational resource that affects relationship quality and the willingness to collaborate and to take risks in times of uncertainty.

High trust levels developed through positive fairness perceptions can lower risk perceptions whilst increasing the willingness to collaborate in supply chain relationships. This can help deal with market uncertainties.

Through the lens of organisational trust and justice theory, this study extends the literature on collaboration in supply chains by including a comprehensive view on the formation of trust in business-to-business (B2B) relationships.

Cross-layer approach in media access control (MAC) layer will address interference and jamming problems. Hybrid distributed MAC can be used for simultaneous voice, data transmissions in wireless sensor network (WSN) and Internet of Things (IoT) applications. Choosing the correct objective function in Nash equilibrium for game theory will address fairness index and resource allocation to the nodes. Game theory optimization for distributed may increase the network performance. The purpose of this study is to survey the various operations that can be carried out using distributive and adaptive MAC protocol. Hill climbing distributed MAC does not need a central coordination system and location-based transmission with neighbor awareness reduces transmission power.

Distributed MAC in wireless networks is used to address the challenges like network lifetime, reduced energy consumption and for improving delay performance. In this paper, a survey is made on various cooperative communications in MAC protocols, optimization techniques used to improve MAC performance in various applications and mathematical approaches involved in game theory optimization for MAC protocol.

Spatial reuse of channel improved by 3%–29%, and multichannel improves throughput by 8% using distributed MAC protocol. Nash equilibrium is found to perform well, which focuses on energy utility in the network by individual players. Fuzzy logic improves channel selection by 17% and secondary users’ involvement by 8%. Cross-layer approach in MAC layer will address interference and jamming problems. Hybrid distributed MAC can be used for simultaneous voice, data transmissions in WSN and IoT applications. Cross-layer and cooperative communication give energy savings of 27% and reduces hop distance by 4.7%. Choosing the correct objective function in Nash equilibrium for game theory will address fairness index and resource allocation to the nodes.

Other optimization techniques can be applied for WSN to analyze the performance.

Game theory optimization for distributed may increase the network performance. Optimal cuckoo search improves throughput by 90% and reduces delay by 91%. Stochastic approaches detect 80% attacks even in 90% malicious nodes.

Channel allocations in centralized or static manner must be based on traffic demands whether dynamic traffic or fluctuated traffic. Usage of multimedia devices also increased which in turn increased the demand for high throughput. Cochannel interference keep on changing or mitigations occur which can be handled by proper resource allocations. Network survival is by efficient usage of valid patis in the network by avoiding transmission failures and time slots’ effective usage.

Literature survey is carried out to find the methods which give better performance.

Based on the social penetration theory and affect theory of social exchange, this study aims to examine the relationship between authentic leadership (AL) and workplace loneliness (WL), as well as the mediating effect of interactional justice (IJ) on this relationship during the COVID-19 pandemic in the US higher education sector.

An online, self-administrated questionnaire was distributed to full-time employees working at higher education institutions in the USA. A total of 464 employees participated in the survey, with structural equation modeling being used to analyze the data.

The outcomes provide evidence that AL is positively related to IJ, whereas the latter is negatively associated with WL. Moreover, IJ fully mediates the relationship between AL and WL. Overall, the findings underline the importance of IJ in affecting employee WL.

The outcomes provide valuable insights for higher education leaders and HR professionals in reducing employee WL. In particular to this end, it is recommended that organizations focus on improving employee IJ and AL perceptions. Furthermore, higher education organizations need to select and promote leaders who exhibit IJ behaviors and AL characteristics. In addition, organizations could offer IJ and AL training to their current leaders.

This study contributes to the limited literature on WL by offering a unique research model that examines IJ as a mediating variable between AL and WL. In addition, it adds to the literature by investigating WL in the context of US higher education sector, which is an understudied area in this research context.

Recently, the interest of scholars studying procedural justice in policing has shifted from the relationship between procedural justice and citizen compliance to trust in police officers’ perceptions of who exercises it. This study explores the relationship between organizational justice and the perception of procedural justice from the perspective of police officers. Furthermore, it investigates the mediating roles of discretion and responsiveness.

Using 441 survey responses from South Korean police officers, a mediation model is outlined and tested using structural equation modeling (SEM). The results showed that police officers’ perceptions of organizational justice had indirect effects on the perceived importance of procedural justice. Moreover, discretion and responsiveness mediate the relationship between organizational justice and perceived procedural justice.

Officers who perceive police fairness are more likely to have a positive perception of procedural justice toward citizens when they have a higher level of discretion and responsiveness. However, police officers’ perceptions of organizational justice are not directly linked to their perceptions of procedural justice.

This study contributes to the generalization of knowledge by empirically testing Van Craen’s theoretical model of the Korean police. It also expands the existing theoretical model by investigating the influence of overall organizational justice and its possible mediators on procedural justice.

Stakeholder theory understands business in terms of relationships among stakeholders whose interests are mainly joint but may be occasionally conflicting. In the latter case, managers may need to make trade-offs between these interests. The purpose of this paper is to explore the nature of managerial decision-making about these trade-offs.

This paper draws on the ordonomic approach which sees business life to be rife with social dilemmas and locates the role of stakeholders in harnessing or resolving these dilemmas through engagement in rule-finding and rule-setting processes.

The ordonomic approach suggests that stakeholder interests trade-offs ought to be neither ignored nor avoided, but rather embraced and welcomed as an opportunity for bringing to fruition the joint interest of stakeholders in playing a better game of business. Stakeholders are shown to bear responsibility for overcoming the perceived trade-offs through the institutional management of social dilemmas.

For many stakeholder theorists, the nature of managerial decision-making about trade-offs between conflicting stakeholder interests and the nature of trade-offs themselves have been a long-standing point of contention. The paper shows that trade-offs may be useful for the value creation process and explicitly discusses managerial strategies for dealing with them.

This study aimed to develop a psychometrically reliable job satisfaction (JS) measure for university employees, guiding administrative decisions and monitoring satisfaction over time in public universities.

A JS survey developed by a Brazilian federal university’s sustainability committee containing 58 items across physical, cognitive and organizational domains was longitudinally tested with 1,214 responses collected. The data were analyzed using Item Response Theory (IRT) analysis, employing the Graded Response Model, with tools such as frequency analysis, item characteristic curve, and full-information factor analysis in RStudio. The scale’s criterion validity was also established via expert qualitative interpretation.

The instrument’s internal consistency was confirmed as the results demonstrated its high reliability with a marginal reliability coefficient of 0.95. Significant findings revealed that recognition and supervisor relationships were key discriminators of JS and that workers began to perceive satisfaction when basic environmental conditions were met.

It is important to mention that the application of this scale is specifically limited to higher education institutions and may not be directly applicable to other educational settings or industry sectors without modifications.

Although numerous measures and scales have been developed to assess JS, one elaborated by using IRT in a public university environment was lacking. Due to shifting dynamics in the workplace, traditional measurement of JS has proven inadequate, necessitating a more precise, accessible and updated tool. The developed scale allows precisely targeted interventions to improve JS and can be reapplied to evaluate their effectiveness. This research thus contributes a valuable tool for academic organizational psychology, enhancing the understanding of the measurement of JS.

This paper aims to analyze the synergistic influence of performance appraisal (PA) practices and performance-driven culture (PDC) on the effectiveness of the performance management (PM) system, which is measured by employees' reactions, namely satisfaction and perceived utility. It also analyzes the type of relationship between PA practices and PA satisfaction, specifically whether it is additive or modeled as a latent factor.

This is a cross-sectional study. Data were collected from 513 managers and employees working in 135 public and private organizations. The research model and hypotheses were tested using structured equation modeling.

The results support the positive impact of a set of four PA best practices on PA satisfaction. It shows that PDC is an enabler for the effective deployment of PA practices. It also demonstrates that the perceived utility of the PM system plays a role as a mediator in the relationship between PA practices and PA satisfaction.

Data were collected using a questionnaire at a single point in time, and thus, cause-and-effect inferences were not possible.

The results provide guidance to organizations that are interested in designing and implementing PM systems and PA practices that contribute toward enhancing employees' managing performance experiences.

This study advances our understanding of the mechanisms by which organizational culture and PA practices influence the effectiveness of the PM system. It suggests that organizations, to benefit the most from a set of PA best practices, need to have a PDC.