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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 purpose of this paper is to explore and empirically test fairness in predicting online customer satisfaction in the internet banking context. The paper also aims to further explore the mechanism through which fairness influences customer satisfaction online, i.e. identifying the mediators.

A survey is used to validate a research model based on equity theory and relationship marketing theory that incorporates fairness, trust, perceived value and customer satisfaction. A total of 331 surveys were analyzed using Partial Least Square.

In internet banking, fairness that includes distributive fairness, procedural fairness and informational fairness is positively related to customer satisfaction. Trust is identified as the key mediator of fairness to customer satisfaction.

In an online context, where human interactions are replaced by graphic user interfaces, fairness still plays an important role in customer satisfaction. Further comparison of online and offline context could be conducted.

For online service managers, it is crucial to incorporate the fairness perspective into operations, which involves topics like segmented marketing efforts, consistency in procedures, and providing ample information to customers.

This research is one of the first attempts to examine fairness in internet banking, as well as to delineate the mediating process of fairness to satisfaction online.

This study aims to examine the moderating role of private label product type (organic vs non-organic) on the relationships between trust transfer, price fairness, perceived value and brand loyalty.

The empirical data were gathered with the structured questionnaire from two groups of respondents who had previously purchased organic and conventional private label products. The direct, mediating and moderating effects were analysed with structural equation modelling.

The findings confirmed the trust transfer between the retail store and private label brand. The results revealed that both store trust and trust in private label brand positively influence price fairness and which, in turn, elicits higher perceived value. Perceived value was also found to influence private label brand loyalty. The multi-group analyses revealed that the magnitude of the trust transfer was accentuated by organic food private label. Furthermore, the relation between trust in private label brand, price fairness and perceived value was also greater in organic food private label.

This study utilized the trust transfer theory and equity theory as a theoretical foundation to provide novel insights into the moderating influence of private label product type on the relationships between the antecedents of private label brand loyalty. The results of the research can help retailers to develop successful private label brand marketing strategies.

This study aims to examine the mediating role of organisational fairness on the association between the emphasis on budgets and budget difficulty with budget value and job stress. Data were collected using an online survey questionnaire with 515 responses from middle and lower-level managers in Australian business organisations. The results indicate that organisational fairness fully mediates the association between budget difficulty with both budget value and job stress. Organisational fairness was not found to mediate the association between the emphasis on budgets with budget value and job stress. Rather, the emphasis on budgets was significantly negatively associated with job stress, implying that a greater emphasis on budgets is desirable in alleviating job stress. The findings have important implications for practice.

Value appropriation and value creation are two sides of the same coin. How B2B seller’s value appropriation impacts customer relationship performance still remains an under-researched topic. This paper aims to probe into this question in the context of Chinese B2B markets.

This study identifies two kinds of value appropriation, namely, competitive and non-competitive and then examines their impacts upon customer relationship performance, as well as the moderating roles of distributive fairness and procedural fairness, based on questionnaire survey among 273 Chinese B2B firms.

The authors find that seller’s competitive value appropriation has negative impact upon customer relationship performance, and this link is positively moderated by customer-perceived distributive fairness. Besides, non-competitive value appropriation by the seller has significant and positive impact upon customer relationship performance, and this link is positively moderated by customer-perceived procedural fairness.

The paper contributes greatly to literature of value management and industrial buyer–seller relationship. Managerial implications are provided for B2B companies operating in Chinese market to tackle with the tradeoff between appropriating sufficient value and retaining harmonious relationship with customers.

The widespread use of electronic mail (e‐mail) at work has prompted a growing number of companies to implement e‐mail policies to protect both business interests and the privacy of employees. However, very little is known about the effects of such policies on such outcomes for employees such as perceived invasiveness and fairness. Thus, the paper aims to consider these issues.

This paper uses a 2×2 experimental design and a sample of 592 employed internet users to examine the effects of e‐mail policy characteristics (i.e. policy restrictiveness and policy justification) on perceptions of invasion of privacy (invasiveness) and fairness.

Results indicate that policy restrictiveness has effects on both invasiveness and fairness, and that policy justification has an effect on fairness. In addition, privacy values are related to both invasiveness and fairness, and moderated the effect of policy restrictiveness on fairness.

Implications for practice and the integration of organizational justice and organizational privacy theory are discussed. In terms of practice, for example, the study's results have implications for the formulation and enforcement of policies concerning the use of e‐mail systems.

This paper is the first to consider the effects of e‐mail policies on employee reactions (i.e. fairness and invasiveness).

This paper investigates the effect of perceived value (hedonic value, utilitarian value, and conditional value) on customers’ behavioral intentions toward dining at Chinese restaurants in Bangladesh.  Moreover, this study examines the mediating effect of self-direction value and the moderating effect of price fairness on the association between perceived value and behavioral intentions.

The proposed model was empirically tested by collecting 390 useable responses from full-table service restaurants in Bangladesh via personal interview. Data were analyzed by testing the measurement model, predictive relevance, effect size and structural model using SMART PLS 3.

The research findings suggest that hedonic, utilitarian and conditional values significantly influence customers’ behavioral intentions toward dining at Chinese restaurants. Moreover, self-direction value partially mediates, and price fairness strongly moderates the linkage between perceived value and behavioral intentions.

This sfloattudy offers useful insights for managers who want to know the factors influencing behavioral intentions toward dining at Chinese restaurants. The findings also assist restaurant practitioners in knowing that customers' perceived value via self-direction value (personal value) and price fairness strongly predict behavioral intentions.

To the best of the author’s knowledge, this research is the first attempt to delve into customers' behavioral intentions toward dining at Chinese restaurants with the proposed model.

Objectively evaluating the fairness of the algorithm, exploring in specific scenarios combined with scenario characteristics and constructing the algorithm fairness evaluation index system in specific scenarios.

This paper selects marketing scenarios, and in accordance with the idea of “theory construction-scene feature extraction-enterprise practice,” summarizes the definition and standard of fairness, combs the application link process of marketing algorithms and establishes the fairness evaluation index system of marketing equity allocation algorithms. Taking simulated marketing data as an example, the fairness performance of marketing algorithms in some feature areas is measured, and the effectiveness of the evaluation system proposed in this paper is verified.

The study reached the following conclusions: (1) Different fairness evaluation criteria have different emphases, and may produce different results. Therefore, different fairness definitions and standards should be selected in different fields according to the characteristics of the scene. (2) The fairness of the marketing equity distribution algorithm can be measured from three aspects: marketing coverage, marketing intensity and marketing frequency. Specifically, for the fairness of coverage, two standards of equal opportunity and different misjudgment rates are selected, and the standard of group fairness is selected for intensity and frequency. (3) For different characteristic fields, different degrees of fairness restrictions should be imposed, and the interpretation of their calculation results and the means of subsequent intervention should also be different according to the marketing objectives and industry characteristics.

First of all, the fairness sensitivity of different feature fields is different, but this paper does not classify the importance of feature fields. In the future, we can build a classification table of sensitive attributes according to the importance of sensitive attributes to give different evaluation and protection priorities. Second, in this paper, only one set of marketing data simulation data is selected to measure the overall algorithm fairness, after which multiple sets of marketing campaigns can be measured and compared to reflect the long-term performance of marketing algorithm fairness. Third, this paper does not continue to explore interventions and measures to improve algorithmic fairness. Different feature fields should be subject to different degrees of fairness constraints, and therefore their subsequent interventions should be different, which needs to be continued to be explored in future research.

This paper combines the specific features of marketing scenarios and selects appropriate fairness evaluation criteria to build an index system for fairness evaluation of marketing algorithms, which provides a reference for assessing and managing the fairness of marketing algorithms.

Algorithm governance and algorithmic fairness are very important issues in the era of artificial intelligence, and the construction of the algorithmic fairness evaluation index system in marketing scenarios in this paper lays a safe foundation for the application of AI algorithms and technologies in marketing scenarios, provides tools and means of algorithm governance and empowers the promotion of safe, efficient and orderly development of algorithms.

In this paper, firstly, the standards of fairness are comprehensively sorted out, and the difference between different standards and evaluation focuses is clarified, and secondly, focusing on the marketing scenario, combined with its characteristics, key fairness evaluation links are put forward, and different standards are innovatively selected to evaluate the fairness in the process of applying marketing algorithms and to build the corresponding index system, which forms the systematic fairness evaluation tool of marketing algorithms.

Organizational justice research traditionally focuses on individuals’ reactions to how they are treated by others. However, little attention has been given to why individuals choose to behave fairly or unfairly in the first place. Our chapter draws on the literature in ethical decision making (Rest, 1986) to identify five distinct factors that influence an individual's decision to treat others fairly. Using this model as a foundation, and drawing on extant research in justice, we explore five different types of roadblocks to fair behavior. We explore the implications of these roadblocks for organizations concerned with creating and maintaining a fair workplace. Finally, we discuss future research suggested by the five factors and some dilemmas, issues, and caveats relevant to the proposed model.

The purpose of this paper is to explore consumers' perceptions of price unfairness in services, what are its antecedents and when it is important for the consumer. Thus, the central question of this research is whether consumers care about how much profit the service company is making and whether there are significant differences to physical goods.

Building on justice and equity theory, a causal model is developed – which analyses the main antecedents (seller profits vs customer value), moderators and consequences of perceptions of price unfairness. Structural equation modelling has been applied to test the proposed model.

The lack of specific tools to measure perceptions of price fairness required the development of a multi‐item scale to capture the complexity of the evaluation. This instrument has been tested for reliability and validity in a variety of settings, with excellent results, and can be appropriate when using the survey as a data collection method. Also, the authors have argued that there should be significant differences due to the nature of the product – service industries vs physical goods– as well as due to the number of available alternatives that the buyer has in the market.

The validity of a new model is tested by means of an empirical research conducted in four different settings, two different services (automobile repair services and music concerts) and their related physical goods (automobiles and music CDs). A multi‐item scale is also developed to capture the complexity of price fairness perceptions. Finally, significant differences between contexts, as well as due to the number of available alternatives present in the marketplace are examined.