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In the digital era, price transparency—the practice of disclosing cost breakdowns in product manufacturing—has become present on digital platforms. Although its benefits are well-documented and consumers should theoretically desire costless and relevant information for informed decision-making, this paper proposes that consumers may resist overly transparent pricing, particularly when it pertains to premium-priced (vs regular-priced) products from countries with high equity.

Our research comprises three experimental studies utilizing both student and representative online Prolific samples, covering various products and countries with different equity levels. Initially, a pilot study identifies an interpersonal should-want conflict induced by price transparency when purchasing premium-priced products, leading to information avoidance. Subsequent studies further explore this phenomenon by examining the moderating role of country equity and the mediating role of price unfairness perceptions.

Price transparency can backfire when purchasing premium-priced products due to the want-should conflict among consumers—the desire to receive disclosure of cost breakdowns versus the inclination not to view it. This conflict results in increased resistance to receiving transparent price information and decreased brand attitudes and purchase intentions, especially for products originating from high-equity countries. Heightened perceptions of price unfairness explain these dynamics.

The study primarily relies on experimental designs with limited sample sizes. To enhance the generalizability of the findings, incorporating large-scale real market data across diverse domains and countries would be beneficial.

Grounded in the should-want conflict and information avoidance theories, this paper uniquely explores the adverse effects of price transparency on digital platforms. We extend this by demonstrating that this conflict is influenced by country equity, where the perceived value added by the association of a product with a given country name affects whether consumers experience the conflict. Our investigation of perceived price unfairness further deepens our understanding of the nuanced effects of price transparency.

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.

Instant crowdsourcing logistics (ICL) platform is an emerging business model in the field of logistics services. Crowdsourcees’ active participation in platform value co-creation is the key to success for this business model. This study aims to explore the influence of platform governance mechanisms on crowdsourcees’ participation in value co-creation on the platform.

Based on governance theory, this study constructed a model of the influence of platform governance mechanisms on crowdsourcees’ value co-creation intentions and discussed the role of community diversity in this model. The survey data of 319 collected from crowdsourcees on China’s well-known ICL platform were analyzed using a partial least squares structural equation model.

The results showed that platform governance mechanisms have a significant influence on crowdsourcees’ value co-creation intentions. Among them, the impact of the welfare resource support mechanism is the largest, followed by the reputation reward and punishment mechanism, while the price coordination mechanism has the least impact. Community diversity has a significant positive moderating effect on the welfare resource support mechanism and crowdsourcees’ value co-creation intentions, but not between other governance mechanisms and crowdsourcees’ value co-creation intentions.

The results provide references for ICL platform to develop a targeted governance mechanism to enhance the positive role of community diversity and reduce the negative impact.

Wasta, the prevailing form of informal networks in the Arab region, exerts a significant controversial influence on organisations in this region. Despite the pervasive negative perceptions and alleged detrimental effects of Wasta, it remains a frequently employed practice. This research aims to comprehensively explore the influence of Wasta on organisational justice across organisations in the Arab world, with Jordanian organisations taken as an illustrative case.

Employing a qualitative approach, semi-structured interviews were conducted with 20 employees from various industries in Jordan.

The study reveals that Wasta significantly affects distributive, procedural and interactional justice within organisations, eliciting feelings of unfairness and hopelessness among employees.

This study recommends that HR departments focus on implementing ethical policies and standards to enhance transparency in organisational decision-making processes. By understanding and addressing the implications of Wasta, organisations can foster a more just and equitable workplace environment.

This study advances our understanding of informal network theories in the Arab world by highlighting the interconnectedness between Wasta and organisational justice, and its profound impact on the work environment and employees. This study also explains how Wasta directly influences decision-making processes, at high managerial levels.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Companies that reward employees inadequately risk substandard performances in return. Resentment at this perceived unfairness will be especially strong among individuals with high psychological entitlement and ensure they perform below expected standards.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

This study aims to explore how relationship trust and different types of influence strategy (i.e., non-coercive and coercive influence strategy) impact green customer integration (GCI), while investigating the moderating mechanisms of big data development and social capital.

Following hierarchical linear regression analysis, the authors examine hypothesized relationships by combining survey data from 206 Chinese manufacturers with secondary data.

The results show that relationship trust positively affects non-coercive influence strategy, while its impact on coercive influence strategy is insignificant. Non-coercive influence strategy has an inverted U-shaped impact on GCI. Furthermore, big data development flattens the inverted U-shaped relationship between non-coercive influence strategy and GCI. Conversely, social capital steepens the inverted U-shaped relationship between non-coercive influence strategy and GCI.

This study sheds light on managers on how to involve customers in GCI through friendly strategies that favor the involvement of customers and the willingness to develop environmentally friendly initiatives.

Although GCI has received widespread attention, how it can be enhanced remains unclear. These findings provide novel insights into the emerging GCI literature and complement social exchange theory.

This paper examines the impact of board ethnic diversity on the level of compliance with international financial reporting standards (IFRS) disclosures.

Using a unique hand-collected dataset from South Africa, we develop a comprehensive disclosure index against 570 mandatory requirements of IFRS. Further, we employ the fixed-effects model to investigate whether board ethnic diversity affects IFRS disclosures.

We document a significant positive association between ethnic minority directors and IFRS disclosure levels. Furthermore, we reveal that non-busy ethnic minority directors have a greater impact on IFRS disclosure levels than their busy counterparts. Additional analyses show that ethnic minority directors have less impact on IFRS disclosure levels when their number exceeds two. Companies with more ethnic directors on audit committees are more likely to comply with IFRS disclosure requirements and ethnic diversity increases accounting disclosures irrespective of the level of ownership concentration.

Our findings shed new light on the impact of board ethnic diversity on firms’ compliance with IFRS disclosure requirements. The results are robust to alternative econometric techniques, proxies and potential endogeneity concerns.

Drawing on conservation of resources (COR) theory, this paper aims to explore the effect of perceived organizational injustice (POI) on organizational performance (OPE) indirectly through knowledge hiding (KH). Moreover, this paper examines the boundary effects of perceived organizational politics (POP) and moral disengagement (MDS).

We employed a time-lag approach to collect data from 244 employees in Pakistani private hospitals. SmartPLS v. 4.4 was run to check the outer model. For testing the moderated-mediation model as an inner model, PROCESS v.4 was applied.

POI negatively and indirectly influenced OPE through KH, whereas high levels of POP and MDS may result in a stronger POI–KH linkage.

This paper adds to the literature related to COR that has been utilized to explain employee behaviors in the hospital context, where the antecedents of OPE were primarily the subject of empirical investigation.

Financial services firms have a significant societal responsibility to prevent issues. The three lines model helps them do that though faces challenges in its effectiveness. This paper aims to offer a behavioural perspective on these challenges and practical solutions to help improve the model and herewith better prevent issues.

The authors detail key behavioural pitfalls and underlying psychological mechanisms that hinder the effectiveness of the model. The authors illustrate these with examples from the corporate practice, alluding to the behavioural patterns and drivers identified in the academic and consultancy work. The authors conclude with offering practical solutions how to enhance the effectiveness of the model.

The authors discuss common ineffective intergroup behaviours between the controllers (here: internal audit) and the controlled (here: the audited business or 2nd line functions): the controllers responding to issues with increased scrutiny; the controlled dismissing the feedback and challenging the issues raised; and the controlled and the controller competing for power. The root causes of these ineffective intergroup behaviours include: psychological defence mechanisms, social categorisation and collective beliefs about intrusiveness. The offered solutions range from actions the controllers can take, actions the controlled can take and actions both can take to improve the effectiveness of the model in practice.

The authors argue that the behavioural perspective on the effectiveness of the model is a blind spot and largely omitted from organisations’ agendas. This paper adds this behavioural perspective to help organisations improve the effectiveness of the model.

This paper aims to illuminate a mechanism of positive word of mouth (PWOM) toward mobile banking (m-banking) by extending the fairness theory (FAT) with satisfaction (SAT) and value-in-use (VIU).

A research model is examined by obtaining data from a web-based survey of 398 respondents who have used m-banking in Vietnam. AMOS 21.0 software is applied to analyze the hypothetical model with covariance-based structural equation modeling.

The results reveal that price fairness (PRI) is of primary importance of fairness perception (FAI) in m-banking, followed by informative fairness, procedural fairness, interactional fairness and distributive fairness. Furthermore, SAT and VIU play a vital role in developing PWOM. In addition, FAI exerts a positive influence on SAT and VIU.

This study would help practitioners have the deep insights into affective and behavioral responses among customers and develop effective marketing trajectories to spur SAT, VIU and PWOM toward m-banking. The results hint that marketers may be tempted to simultaneously focus on the important dimensions of FAIs as they are indispensable to derive SAT and VIU from a customer perspective. This research assists governments and banks to adopt training programs and policies that will incite customer behaviors toward m-banking.

The value of the work lies in the combination between FAT with SAT to enlighten FAI and PWOM toward m-banking in a developing country. To the best of the authors’ knowledge, this work is among the first to consider VIU that motivates PWOM. Moreover, this study links PRI to FAI to understand PWOM among Vietnamese customers.