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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.

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.

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.

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.

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.

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.

Ghana’s legal framework for procurement has undergone substantial reform to increase its efficacy. However, disregard for legal obligations set forth has resulted in issues of fraud, corruption and poor oversight. This study seeks to synthesize literature on the recognition of legal obligations arising from tendering procedures and measures to promote fairness, transparency and accountability under Ghana’s procurement framework.

Legal frameworks and publications from diverse countries have been synthesized using a systematic literature review across three databases (Scopus, JSTOR and HeinOnline) to illuminate key concepts, issues and best practices relevant to the study. Data obtained from included publications was synthesized using Sandelowski and Barroso’s two-step approach by using a qualitative meta-summary and thematic synthesis.

The study reveals that issues of conflict of interest, corruption, lack of capacity, inadequate oversight and insufficient legal follow-through hinder the effectiveness of procurement regulations. The findings highlight the need for targeted improvements in resource allocation for consistent application of transparency measures, regular publication of notices and robust enforcement of accountability mechanisms. The report proposes the creation of a common data environment for networking and information dissemination, implementing feedback systems and trust rating schemes.

The study contributes to the body of knowledge on procurement regulation by providing a thorough analysis of Ghana’s procurement framework. The findings will help policymakers close the observed implementation gaps by guiding the revision of current legislation and the introduction of new regulations. Research findings can be used to guide the creation of focused training courses.

This study, one of the first of its kind in Ghana, examines the current procurement framework, including legal obligations and implementation challenges. It contributes to the body of knowledge on the subject by providing a current and fact-based analysis as well as relevant recommendations for strengthening the framework.

A significant increase in the number of private sector banks has intensified the level of competition in the Indian banking industry (IBI). This increase in the number of banks has a considerable impact on the existing players, which calls for prioritizing customer satisfaction (CS) and enhancing bank reputation (BR). Our study seeks to investigate the enablers of CS and BR in the IBI.

The study adopted a cross-sectional design for gathering responses from retail bank customers across the selected banks through a structured questionnaire. Structural equation modeling (SEM) was utilized to evaluate direct and indirect linkages among the identified constructs by examining mediating and moderating effects.

The study puts forward crucial antecedents of CS and BR. The findings exhibit that perceived trust (PT) and relationship commitment (RC) magnify CS and BR, respectively, while CS amplifies repurchase intention (RI). The study advances that BR and CS partially mediate between the underlying constructs. In addition, fairness and risk exhibit moderating effects between CS and customer repurchase intention (CRI) and BR and CRI.

The study illustrates the crucial enablers of BR, CS and CRI that may assist banking professionals in enriching customer experience and holding on to their customers.

There is a shortage of research on RC, service innovation (SI) and BR in the IBI. Accordingly, our study builds on the prior studies by considering these constructs using a comprehensive conceptual framework by extending the application of signaling theory (ST) in the banking domain and scrutinizing the dual moderating effects of fairness and risk.

This study aims to investigate the impact of leader’s religiosity on teachers’ organizational commitment and leaders’ virtuous behaviors. Second, it is intended to examine the significant influence of Al-Ghazali’s fundamental virtues – wisdom, justice, temperance and courage – on the level of commitment displayed by teachers in K12 schools.

To analyze this connection, a total of 335 surveys were collected from K12 private schools situated in the Kurdistan Region of Iraq. The data were then evaluated using confirmatory factor analysis and structural equation modeling.

It has been found that leaders’ virtuous behaviors have significant positive effects on teachers’ commitment. Furthermore, while religiosity did not directly influence teachers’ commitment, the virtuous behaviors of leaders played a significant mediating role in this relationship.

This research fills a gap in the literature by exploring the impact of Islamic ethical principles on employee commitment, specifically within the context of K12 education in the Kurdistan Region of Iraq. It emphasizes the critical role of leaders’ virtuous behaviors in improving employee commitment.

Many PhD students have strong reading comprehension, but some struggle with how to read critically. The purpose of this study is to understand what reading looks like for PhD students, what they are doing when they read scholarly texts and how they bring these texts to life in meaningful ways.

The authors conducted a self-study using a phenomenological research approach. Five PhD students collected data on their academic reading for three weeks, including the references, purpose for reading, and what they did as part of the reading process. Second, students analyzed their reading processes according to Paul and Elder’s (2006) intellectual standards. Third, students participated in two semi-structured discussions about the standards in relation to doctoral reading.

Reading is inseparable from thinking, with Paul and Elder’s (2006) intellectual standards (e.g. clarity, relevance, logic and fairness) playing an essential role in the academic reading process. Alongside these cognitive aspects of reading, the affective domain also contributes to the reading process.

This study is important because being able to read scholarly work is crucial for completing doctoral programs, conducting research, and publishing. We suggest that just as we need to teach writing, we need to acknowledge that many doctoral students need guidance to read scholarly texts, they need to be educated on the intellectual standards, and supervisors must rest their assumptions about doctoral reading and explicitly teach these processes.