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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.

This paper aims to develop a novel approach to Islamic deposit insurance, specifically addressing the deficiencies in the current prevailing models of Islamic deposit insurance.

The analysis in this paper adopts a qualitative content analysis approach to review the existing literature on Islamic deposit insurance and propose a new model.

The proposed model includes a revised scheme. In the event of a bank failure, the funds used to reimburse depositors of the failed bank are divided into two distinct categories. The first category includes nonrepayable premiums that have been previously paid by the failed bank and managed by the Islamic deposit insurance agency or Islamic deposit insurance corporation. The second category comprises qard hasan, an interest-free loan provided by the Islamic deposit insurance agency or Islamic deposit insurance corporation using the deposit insurance funds from the collective pool of premiums of other banks.

The proposed model ensures that well-managed banks are not unfairly burdened by the failures of their poorly managed counterparts, thus preventing a sense of unfairness and inefficiency. Implementing the proposed model may result in higher business practices and risk management standards, ultimately leading to better depositors’ protection and banking system’s stability.

This paper offers a significant contribution to the limited literature on Islamic deposit insurance. The proposed model enriches the discourse and offers valuable insights for the future development of Islamic banking.

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 study aims to explain how negative workplace interactions are formed by the application of a performance management system (PMS).

The study draws from unique in-depth interviews with service workers who resigned from an accounting shared service centre (SSC), discussing the reasons behind the resignations. Following an abductive approach, organisational justice theory is used to analyse the service workers' perceptions of negative interactions and to link the negative interactions to the use of the PMS.

The findings suggest that negative workplace interactions are characterised by cost consciousness, inequality and competitiveness. These interactions are attributed to the use of a PMS in the centre and are related to perceptions of distributive, procedural and interactional injustice.

Managers and leaders of shared service–type organisations should not rely on PMSs as an all-encompassing solution; instead, they should acknowledge the fairness of the use of PMSs. Moreover, HR professionals should choose and train employees to apply PMSs fairly. Fairness is important in work allocation, resourcing, monitoring, giving feedback, recognising good performance, promotion and interaction between peers.

This study contributes to the literature by taking an overall perspective on PMSs to analyse and explain the unintended negative consequences of a PMS in a highly scripted and monitored work environment that is usually considered appropriate for such a system's use. Through the analysis, the study highlights pitfalls in the use of a PMS and the importance of interactional injustice not only between but also within organisational levels.

This study aims to understand the interaction between tax fairness perceptions, equitable tax burden distribution and tax compliance within Morocco’s unique socio-economic context, with the goal of uncovering strategies to enhance tax compliance.

Using the Delphi method, this study engaged tax experts in the Moroccan context to explore the impact of taxpayers’ perception of fairness, tax rates and tax burden on compliance. Their responses were gathered and analyzed with the aid of IRaMuTeQ software, which helped the authors identify themes relevant to the research question.

The preliminary results indicate a positive correlation between perceptions of tax fairness and compliance behavior, corroborating earlier studies conducted in different contexts. Notably, a substantial majority of Moroccan taxpayers perceive the current tax system as inequitable, deeming tax rates too high and the tax burden unfairly distributed among various taxpayer categories. This perception potentially influences their voluntary tax compliance behavior.

The findings have significant policy implications for the Moroccan Government and stakeholders. They suggest that by improving tax fairness, particularly by aligning tax assessment and payment modalities for employees, civil servants and small to medium enterprises, policymakers can encourage higher voluntary tax compliance, thereby potentially enhancing the efficiency of the Moroccan tax system.

This study adds to the existing body of knowledge by exploring the dynamics of tax fairness and compliance behavior in Morocco, a context which has been significantly understudied.

Drawing on the social presence theory, this study aims to explore how supplier–customer social media interactions influence supplier observers’ trust in the customers and what mechanisms contribute to variation in trust experience.

A total of 36 semi-structured interviews were conducted with Chinese suppliers using WeChat for business-to-business interactions. Data were analyzed in three steps: open coding, axial coding and selective coding.

Findings reveal that varied trust is based not only on the categories of social presence of interaction – whether social presence is embedded in informative interactions – but also on the perceived selectivity in social presence. Observer suppliers who experience selectivity during social and affective interactions create a perception of hidden information and an unhealthy relationship atmosphere, and report a sense of emotional vulnerability, thus eroding cognitive and affective trust.

The findings contribute new understandings to social presence theory by exploring the social presence of interactions in a supplier–supplier–customer triad and offer valuable insights into business-to-business social media literature by adopting a suppliers’ viewpoint to unpack the mechanisms of how social presence of interaction positively and negatively influences suppliers’ trust and behavioral responses.

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.

The present research paper aims to examine the inter-relationship between organizational justice (Henceforth termed as OJ), psychological well-being at work (henceforth termed as PWBW) and organizational citizenship behavior (henceforth termed as OCB). More specifically, this paper attempts to critically analyze the mediating role of PWBW in the relationship between OJ and OCB. The study solely focuses on nurses working at private hospitals in Kerala, who are the largest group of healthcare personnel.

Data collected from 308 nursing employees were analyzed by using statistical package for the social sciences (SPSS) software.

The outcomes of the analysis demonstrate that significant correlations exist between all the three key variables and their dimensions. Moreover, it has been found that the relationship between OJ and OCB is partially mediated by PWBW.

In the present healthcare scenario, just after the Covid-19 pandemic, there is a paramount need for the well-being of healthcare staff in order to improve the functioning of the healthcare system.

The study enabled us to develop and provide an explanation as to how social exchange relationship works between OJ and OCB.

The present study aimed to provide an understanding of the roles of community-based financial service organizations (i.e. rotating savings and credit associations [ROSCAs] as institutional pillars in facilitating low-income, unbanked consumers’ access to informal financial services).

Semi-structured interviews were conducted with 39 low-income, unbanked consumers participating in ROSCAs in Pakistan, where only 21% of adults have a bank account and almost four out of five individuals live on a low income. The obtained data were analyzed using the thematic analysis technique.

ROSCAs’ regulatory, sociocultural and cognitive aspects facilitate low-income, unbanked consumers’ utilization of informal financial services owing to their approachability by, suitability for, and fairness to such consumers. Thus, they promote such consumers’ financial inclusion.

Low-income consumers are mostly unable to access formal financial services due to the existing supply- and demand-side impediments. Understanding ROSCAs’ institutional functioning can help formal financial service providers create more transformative financial services based on the positive institutional aspects of ROSCAs to enhance poor consumers’ financial inclusion and well-being.

The inclusion of low-income, unbanked consumers in formal banking services will help them better control their finances.

Many low-income, unbanked consumers in developing countries utilize informal financial services to meet their basic financial needs, but service researchers have rarely investigated how informal financial institutions function. The present study showed that ROSCAs, as informal institutions, meet low-income, unbanked consumers’ personal, social and financial needs in a befitting manner, which encourages such consumers to use the financial services offered by ROSCAs.

Digital labor platforms (DLPs) are transforming the nature of the work for an increasing number of workers, especially through extensively employing automated algorithms for performing managerial functions. In this novel working setting – characterized by algorithmic governance, and automatic matching, rewarding and punishing mechanisms – gig-workers play an essential role in providing on-demand services for final customers. Since gig-workers’ continued participation is crucial for sustainable service delivery in platform contexts, this study aims to identify and examine the antecedents of their working outcomes, including burnout and engagement.

We suggested a theoretical framework, grounded in the job demands-resources heuristic model to investigate how the interplay of job demands and resources, resulting from working in DLPs, explains gig-workers’ engagement and burnout. We further empirically tested the proposed model to understand how DLPs' working conditions, in particular their algorithmic management, impact gig-working outcomes.

Our findings indicate that job resources – algorithmic compensation, work autonomy and information sharing– have significant positive effects on gig-workers’ engagement. Furthermore, our results demonstrate that job insecurity, unsupportive algorithmic interaction (UAI) and algorithmic injustice significantly contribute to gig-workers’ burnout. Notably, we found that job resources substantially, but differently, moderate the relationship between job demands and gig-workers’ burnout.

This study contributes a theoretically accurate and empirically grounded understanding of two clusters of conditions – job demands and resources– as a result of algorithmic management practice in DLPs. We developed nuanced insights into how such conditions are evaluated by gig-workers and shape their engagement or burnout in DLP emerging work settings. We further uncovered that in gig-working context, resources do not similarly buffer against the negative effects of job demands.