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Sharing co-owned information on social network platforms has become a common and inevitable phenomenon. However, due to the uniqueness of co-owned information, the privacy calculus theory based on a single information owner cannot explain co-owned information disclosure. Therefore, this study tries to investigate the underlying mechanism of users’ co-owned information disclosure from a collective privacy calculus perspective.

Through a survey of 740 participants, covariance-based structural equation modeling (CB-SEM) was used to verify the proposed model and hypotheses.

The results show that personal benefit, others’ benefit and relationship benefit promote users’ co-owned information disclosure by positively affecting personal distributive fairness and others’ distributive fairness perception. Meanwhile, personal privacy risk and others’ privacy risk prevent users’ co-owned information disclosure by negatively affecting personal distributive fairness and others’ distributive fairness perception. Besides, others’ information ownership perception enhances the positive effect of others’ distributive fairness perception on co-owned information disclosure intention. Furthermore, others’ information ownership strengthens the mediating role of others’ distributive fairness.

The findings of this study enrich the research scope of information disclosure and privacy calculus theory and help social network platform developers design collective privacy protection functions.

This study develops a collective privacy calculus model to understand users’ co-owned information disclosure on social network platforms, confirming the mediating role of collective distributive fairness and the moderating role of others’ information ownership perception in the process of collective privacy calculus.

The purpose of this study is to investigate possible drivers of loyalty amongst Islamic banking customers in Gauteng, South Africa. We ponder the relationships of service fairness (a secondorder reflective construct) with perceived value, satisfaction, and loyalty.

Data were obtained from Islamic banking customers in South Africa using interview-administered questionnaires. A total of 350 responses were perceived as being suitable for data analysis. The measurement and structural models were measured through structural equation modelling.

Service fairness and perceived value were found to be important drivers of loyalty within this context.

This study demonstrates that service fairness and perceived value are precursors to the future loyalty intentions of Islamic banking customers. As such, they should be nurtured as key elements of the relationship building process.

The study guides South African Islamic banks and South African banks with Islamic windows to better understand how service fairness (interactional, procedural and distributive) fosters satisfaction, perceived value and loyalty (attitudinal and behavioural).

Enhancing comprehension of the relationship between service fairness and customer loyalty, with satisfaction and perceived value playing intermediary roles, represents an unexplored avenue in academic research within the context of Islamic banking in an emerging African market.

The development of the digital age has made data and information more transparent, enhancing the strategic perspectives of both buyers (strategic waiting) and sellers (price fluctuations) in their decision-making. This research investigates the optimal dynamic pricing strategy of the content product developer in relation to their consideration of consumer fairness concerns to elucidate the impact of consumer fairness concerns on the dynamic pricing strategy of the developer.

This paper assumes that monopolistic content developers implement a dynamic pricing strategy for the content product. Through constructing a two-period dynamic pricing game model, this research investigates the optimal decisions of the content developer, contingent upon their consideration or disregard of consumer fairness concerns. In the extension section, the authors additionally account for the influence of myopic consumers on these optimal decisions.

Our findings reveal that the degree of consumer fairness concerns significantly influences the developer’s optimal dynamic pricing decision. When a developer offers content products with lower depth, there is a propensity for the developer to refrain from incorporating consumer fairness concerns into a dynamic pricing strategy. Conversely, in cases where the developer offers a high-depth content product, consumer fairness concerns benefit the developer. Furthermore, our analysis reveals a consistent benefit for the developer from the inclusion of myopic consumers.

Few studies have delved into the conjoined influence of consumer fairness concerns and strategic behavior on dynamic pricing strategy. Our findings indicate that consumer fairness concerns can enhance the efficiency of the value chain for content products under specific conditions. This paper not only enriches the existing literature on dynamic pricing by incorporating consumer fairness concerns theoretically but also offers practical insights. The outcomes of this research can guide content product developers in devising optimal dynamic pricing strategies.

In current era, retaining the best-performing employees has become essential for businesses to compete in the dynamic technological landscape. Consequently, organizations must ensure that their star performers believe that company’s reward and recognition (R&R) system is fair and equal. This study aims to use an explainable machine learning (eXML) model to develop a prediction algorithm for employee satisfaction with the fairness of R&R systems.

The current study uses state-of-the-art machine learning models such as Naive Bayes, Decision Tree C5.0, Random Forest and support vector machine-RBF to predict employee satisfaction towards fairness in R&R. The primary data used in the study has been collected from the employees of a large public sector undertaking from an emerging economy. This study also proposes a novel improved Naïve Bayes (INB) algorithm, the efficiency of which is compared with the state-of-the-art algorithms.

It is seen that the proposed INB model outperforms the state-of-the-art algorithms in many scenarios. Further, the proposed model and feature interaction are explained using the explainable machine learning (XML) concept. In addition, this study incorporates text mining techniques to corroborate the results from XML and suggests that “Transparency”, “Recognition”, “Unbiasedness”, “Appreciation” and “Timeliness in reward” are the most important features that impact employee satisfaction.

To the best of the authors’ knowledge, this is one of the first studies to use INB algorithm and mixed method research (text mining along with machine learning algorithms) for the prediction of employee satisfaction with respect to the R&R system.

The purpose of this study is to identify the structural determinants of e-returns service interactions, examine their impact on online shoppers' loyalty and propose returns service interventions from an interactive marketing perspective to facilitate consumer interaction and repeat purchase intentions with e-retailers.

This study empirically tests the research hypotheses based on cross-sectional survey data collected from Chinese online consumers who experienced interactions during the product returns process.

E-return service interaction includes three determinants: access support, friendly interaction and communication support. These interactions positively impact ease of return, returns satisfaction and customer loyalty. Returns satisfaction is a key mediator in the relationship between return service interaction and loyalty. Access support and friendly interaction have both direct and indirect effects on loyalty, while communication support has only an indirect effect.

This study contributes to understanding e-returns service interaction by analyzing its structural determinants, providing a robust scale foundation and analytical framework for future empirical research. Additionally, this study explores the driving role of e-returns service interaction in forming e-customer loyalty, offering a theoretical basis for the service recovery function of e-returns service interaction. It enriches the application of service recovery theory and relationship marketing theory in the field of interactive marketing.

Ratees' reactions to performance appraisal (PA) system suggest how effective the system is. However, there is less clarity about those different reactions that good versus poor performing ratees show vis-à-vis their performance appraisals. This paper seeks to examine the possible PA responses (PA fairness and PA satisfaction) of the ratees for the cases where they receive equitable versus equal performance-based rewards and punishments.

Two studies were designed. Study 1 was a scenario-based experiment in Pakistan (N = 100 students) and Study 2 was based on surveys in Japan (N = 123 employed students) and Pakistan (N = 111 full-time working professionals). Data were analyzed using one-way repeated measures (Study 1) and structural equation modeling (Study 2).

Overall, good performers considered PA fairer and more satisfying under equity than under equality. However, poor performers considered PA fairer under equity than under equality.

The study has value for PA theorists and managers, as it offers: (a) an understanding on the differential effect of equity versus equality, on employees' perceptions of fairness and satisfaction in a PA setting; (b) clarity about the likely disparity between good and poor performers' reactions toward perceived fairness and satisfaction; and, (c) ratee reactions from both organizational and social perspectives contributing to the philosophical debate questioning whether both distributive fairness and retributive fairness should operate under similar or different normative principles.

Family farms, in which business and family life are intricately interwoven, offer an interesting context for better understanding the interdependence between the family and business system. Many family farms struggle to survive, and the succession process is a key period in which the low returns on investment become evident but also the emotional attachment of the family to the farm and the willingness to transfer the business to the next generation. We take the perspective of non-succeeding siblings since they are crucial for a successful succession but their role and position in this process is far from clear. This study will help to increase our knowledge of how fairness is perceived by non-successors and of the impact of perceived (in)justice on the family business system.

To analyze the effect on sibling relationships of an unequal outcome of the succession process, we choose the family farm context. We used interview data from multiple family members from several family farms in the Netherlands in different stages of succession. We utilized a framework based on justice theory to analyze perceptions of fairness among non-succeeding siblings. The central research question for this study is as follows: How do non-succeeding siblings perceive justice with regard to family firm succession?

The acceptance of the outcomes of the succession process by non-succeeding siblings is influenced by their perception of the fairness of the process itself and decisions made by the incumbent and successor with regard to these outcomes. It seems that stakeholders who occupy multiple roles with conflicting justice perspectives handle these contradictions with the help of an overarching goal—in this study, preserving the continuity of the family farm—and by prioritizing and adjusting the justice perspectives accordingly. The findings further show that both distributive justice and procedural justice are important and interact with each other.

Our study contributes to the literature by applying the theoretical framework of distributive and procedural justice to the context of family farm succession. This helps us to understand the position of non-succeeding siblings and their role and position in the succession process, which is important because sibling relationships have a significant impact on family harmony, with potential consequences for the business as well.

This paper aims to explore the role of heuristics in the reassessment of relationship events and how it influences perceptions of commitment, fairness and relationship value. It answers the question of how heuristics interrelate with decision-makers’ evolving interpretations of commitment, fairness and relationship value in a specific buyer-supplier relationship.

This paper presents data from a longitudinal study of an evolving buyer–supplier relationship involving a multinational supplier of fast-moving consumer goods and a medium-sized and highly specialized supplier. It analyzes qualitative data about the use of heuristics in buyer–supplier relationships, and it is based on evidence collected from interviews, presentations, meetings and secondary data.

This paper shows that a buyer’s unexpected behavior can lead to a reassessment of commitment, fairness and relationship value. Heuristics can delay relationship reassessments, however. The case shows that heuristics have a preserving quality and that the effect of transformative events only slowly changes the perception of the value of the relationship. In this change process, the link between commitment, perceived fairness and heuristics is crucial.

This paper contributes to research on the relationship between buyer–supplier relationships and heuristics. In particular, the paper contributes to the understanding of how relational events in a buyer-supplier relationship change the commitment and perception of fairness, and how heuristics change accordingly. On a more overarching level, the study contributes to our understanding of business relationship dynamics.

This study aims to conduct a comprehensive analysis of poverty salaries and minimum wage in light of virtue ethics and a new natural law perspective on work.

Existing approaches to poverty wages are critically examined, including the nonworseness claim and legal minimalism. This paper introduces a more nuanced framework, taking into account the concepts of merit and participation in light of virtue ethics.

We argue that the fairness of minimum wage policies can be assessed as a matter of contributive-distributive justice by considering individual contributions to an organization's outcomes within an approach that provides a robust foundation for reconciling the dignity of work with the operational realities of organizations.

Empirical research is needed to validate the practical application of the proposed conceptual framework for addressing poverty wages.

The paper provides better decisional arguments for employers concerned with poverty salaries in their organizations considering the moral dimensions of wage policies and employee well-being, offering guidance for potential adjustments in compensation practices. It also contributes to the discourse on social and economic justice by emphasizing the moral obligations of organizations in fostering a just and dignified work environment without the employee's participation.

This paper presents a novel approach that blends virtue ethics and new natural law principles, emphasizing the moral responsibilities of employers and organizations in addressing the conditions of the working poor. It also highlights the potential for a “lesser evil” situation, morally acceptable when it serves as a transitional phase aimed at improving working conditions and employee well-being.

The purpose of this study is to describe and explain the relationship between organizational justice, as an environment and as a buffer and suppressant for influencing cynicism about organizational change (CAOC), thereby influencing change-supportive behavior (CSB) and its impact on higher education performance (OP). The social cognitive theory was applied to test the moderating role of perceived organizational justice in the relationship between CAOC, CSB, and OP.

The research found support for the proposed model using data collected from 91 faculties at 10 autonomous higher education institutions in Indonesia and a multisource research design with a non-academic staff sample.

This finding confirms that distributive and interactional justice only influences organizational performance when perceived as moderate or high. The moderated mediation analysis findings were supported by the moderating variable of procedural justice but were supported by the moderating variables of distributive and interactional justice.

As a determinant of CAOC on non-academic staff in Indonesia, a country with a high-power distance, cynicism towards change is difficult to detect due to the prevalence of silent cynicism.