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Prior studies use two measures of firm-specific return variation (FSRV): idiosyncratic volatility in absolute and relative terms, the latter of which is also termed stock price nonsynchronicity. Whereas most research focuses on investigating the idiosyncratic volatility puzzle, the authors carry out comparison of these two measures and further investigate which of the two constituents of nonsynchronicity explain the association between FSRV and stock returns, emphasising the importance of assessing which component drives stock returns.

The authors use the US individual stock returns from 1925 to 2016 and define the two measures of FRSV based on the Fama and French (1993) model. Specifically, the authors decompose the relative measure into two components: (i) absolute idiosyncratic volatility and (ii) systematic volatility. The authors conduct various tests based on high-minus-low, zero-investment quintile portfolio sorts and perform the Fama–MacBeth analysis by singling out each component.

The authors find a positive return on the portfolio sorted on relative idiosyncratic volatility or on systematic volatility, but find a negative return sorted on absolute idiosyncratic volatility. The results are robust after controlling for size, BM and other risk characteristics using a double-sorting approach. The Fama–MacBeth regression results show that a positive association between the relative measure and stock returns is driven primarily by the low-systematic-volatility anomaly across firms. The findings are robust to controlling for return residual momentum, skewness, jumps and information discreteness.

Extant research posits the idiosyncratic volatility puzzle and the low-volatility anomaly. The authors emphasize the importance of integrating these two streams of research. This study enhances the understanding of the driving force underlying the relationship between FSRV and cross-sectional stock returns.

This paper aims to examine the blockchain introduction and altruistic preference decisions of the supplier in agricultural food supply chains and discuss how the supplier decisions are influenced by blockchain technology and altruistic preference levels.

The author considers a single period two-level supply chain model to describe the supplier’s decisions. The supplier, as the leader of the game, decides whether to introduce blockchain technology and his own level of altruistic preferences. Consumers have environmental awareness and heterogeneity in green trust. Supply chain members determine their own product pricing and green effort level under Stackelberg game.

The results reveal the negative impact of unit verification cost in the technology introduction process on the supply chain. In addition, the supplier can adjust their profits by adjusting their altruistic preferences after introducing blockchain to offset the impact of blockchain through the influence of altruistic preferences as discussed by the author.

This paper investigates how the profits and green efforts of supply chain members are influenced by blockchain technology and altruistic preferences.

The purpose of this paper is to identify the practices that owners of public profiles in social networking sites can leverage to actively build online reputation and to evaluate the impact of the adoption of such practices on the initial formation of trust toward these individuals when they are presented as new virtual work partners.

A theoretical model was developed and an experiment with 233 participants was utilized to assess the model using partial least squares structural equation modeling.

The results suggest that individuals can build their online reputations in public profiles of social networking sites via a series of practices of self-disclosure of information and that the adoption of these practices has significant effects on the initial formation of trust toward the profile owner in virtual work contexts. Categorization mechanisms such as stereotyping, unit grouping and reputation categorization have been found to contribute to the initial formation of trust, both from an affect and cognition-based perspectives.

Little is known about the information disclosure practices in public profiles of social networking sites that new work partners can adopt to facilitate the formation of trust between them before they start working together. This study has contributed to the existing body of literature by clarifying these practices and the relative importance of online reputation to the initial formation of trust during the outset of a new virtual work relationship.

Participative leadership's influence on employee task performance has garnered significant attention in a rapidly evolving organizational landscape. This study explores the multilevel dynamics of participative leadership congruence between unit managers and direct supervisors and its effects on employee task performance.

Drawing on two longitudinal studies based on the firms randomly selected from the Taiwan Economic Journal (TEJ) database, the research observes the mediating role of Person-Unit fit and the moderating influence of Unit-Member Exchange in the participative leadership-performance relationship.

The findings reveal how participative leadership congruence enhances person-unit fit, which in turn benefits employee task performance. Unit-member exchange plays a critical role in augmenting the participative leadership congruence? Person-unit fit? Employee task performance relationship.

The study extends leadership literature by highlighting the significance of leadership alignment across levels and the interplay between psychological and social factors in improving employee performance.

This study aims to identify the impact of drivers of citizens’ e-loyalty on e-government services. This study focused on the impact of e-service quality (e-SQ) on e-loyalty, mediated by e-trust. In addition, the study examined the moderating role of system anxiety.

To accomplish the study’s objectives, a self-administered questionnaire was created to collect data, and the sample size was chosen to align with the requirements of the structural equation modeling (SEM) approach. Out of the distributed questionnaires, 532 were deemed valid and suitable for analysis in this research. Data screening was performed, and no questionnaires were excluded from the analysis.

The study findings underscore the significance of enhancing e-SQ for improved trust, satisfaction and engagement in e-government initiatives. Decision-makers should prioritize streamlined processes, user-friendly interfaces and responsive support. Crucial elements for fostering trust include transparency, accountability and data security. Personalized services, citizen engagement and continuous feedback evaluation contribute to citizen satisfaction and loyalty. Addressing system anxiety is vital through clear instructions and accessible support. Implementation of these recommendations is expected to lead to successful e-government initiatives and increased e-service adoption. The study highlights the importance of maintaining high e-SQ standards, trust-building measures and adopting a holistic approach for sustained positive user experiences in government e-services.

This study found a significant positive influence of e-SQ on e-loyalty showing a strong positive correlation between e-SQ, e-loyalty and e-service. Statistical analysis reported a significant positive mediating role of e-trust in the relationship between e-SQ and e-loyalty. Moreover, system anxiety exhibited a strong significant negative moderating role on the relationship between e-SQ and e-trust.

Practical implications of the study emphasize the importance of improving e-SQ, enhancing transparency, strengthening security measures, adopting user-centric design principles and continuously evaluating and improving e-services. By implementing these recommendations, decision-makers can foster trust, satisfaction and improve engagement and adoption of e-government initiatives in the Jordanian context as a developing country.

The study explores the factors influencing citizens’ loyalty to e-government services in Jordan, acknowledging the unique challenges faced by the country as a developing nation. It focuses on understanding these factors within the Jordanian context, where e-government initiatives are increasingly implemented to enhance public services and governance. The research investigates the mediating role of e-trust and the moderating effect of system anxiety, providing valuable insights into the drivers of citizens’ loyalty.

The purpose of this study is to examine the effect of innovation in e-service delivery on trust and loyalty of Indian customers in the banking sector.

The stated relationships were drawn on the grounded theories by developing a conceptual model. Purposive sampling technique was used to collect the data from 400 bank customers who were availing the e-innovation services.

The findings of the study reveal that e-service innovation has a direct impact on e-service delivery and trust. The existence of a positive relationship between e-service delivery, trust and loyalty in the banking sector of India has also been found.

The findings of the study would help the practitioners and experts in the related fields to understand and adopt the innovative management practices in financial services in developing country like India.

Continuous e-innovation can create a distinct competitive advantage and avert the risk of vanishing from the market. The study contributes in terms of e-service innovation and e-service delivery in the banking sector in India. The impact of e-service innovation on banking outcomes begins with e-service and trust, these factors positively influences e-service innovation. Furthermore, e-service innovation exerts a positive effect on e-service delivery, trust and loyalty, thereby improving organizational value.

This study aims to identify several perspectives that affect the adoption of blockchain technology in India (BCTA) and evaluate their impact. To study the sector’s influence on adoption and the impact of BCTA on the performance of the Indian healthcare supply chain (HSCP) using BCTA as a mediating variable.

In this study, we first developed a conceptual model based on Organizational Information Processing Theory and Technology-Organization-Environment, then formulated hypotheses. Based on this, a questionnaire was developed, and data were gathered from experts in the Indian healthcare industry who were familiar with blockchain technology. AMOS 19 was used to analyze data using structural equation modelling.

All the factors have a significant positive influence on BCTA. Healthcare supply chain factors influenced the adoption most dominantly, followed by technological, environmental, organizational and record-keeping unit factors. Both the public and private sectors of HSCP benefited significantly from BCTA.

This research work is fruitful for healthcare practitioners, top management, academicians and policymakers in assessing BCTA’s impact on the HSCP.

We have attempted to evaluate the possible BCTA impact on HSCP. BCTA as a mediating variable and considering different perspectives for a holistic view of adoption in the Indian context add to this work’s originality.

This study aims to analyze the knowledge transfer process for implementing a company-specific production system (XPS) from a subsidiary of a multinational corporation (MNC) to its local suppliers.

A case study approach was adopted and applied in an automotive supply chain. Empirical data were collected from interviews, observations and internal documents.

The literature shows that the successful XPS implementation depends on the ability to transfer XPS knowledge; the motivation of the source unit to share XPS knowledge; the value and nature of knowledge embedded in XPS; the effectiveness of individual, social and organizational transfer mechanisms; the motivation and absorptive capacity of the target unit and, the organizational, social and relational contexts in which XPS is transferred. Based on the research findings, we develop 12 propositions and presented them in a framework.

This paper expands and enriches the literature on the knowledge transfer process of XPS. The proposed framework establishes theoretical propositions and associations raised by qualitative analysis. However, these propositions are potentially testable on a larger scale for broader generalization.

Managers can recognize critical factors and relationships needed to improve the XPS implementation from an MNC subsidiary to its local suppliers.

The proposed framework provides a scheme to capture the essential critical factors affecting a successful XPS implementation between MNC subsidiaries and local suppliers. Moreover, we found relevant associations between pairs of critical factors that were not identified in the literature.

The present study examines the nexus between workplace relationship conflict, perceived sincere apology, interpersonal forgiveness, trust restoration and future cooperation at work after a trust violation episode has occurred.

The data for the analysis were collected from 226 employees using scenarios and survey methods and quantitative techniques were applied to analyze the data.

The results show that perceived sincerity of apology serves as a mediating variable in the link between workplace relationship conflict and interpersonal forgiveness. Interpersonal forgiveness is found to be positively related to future cooperation at work with the mediating role of trust restoration.

The findings of the study have practical implications for strategy makers, human resource managers and practitioners interested in stimulating future cooperation at work after a trust violation episode has occurred. The study advocates that sincere apology and interpersonal forgiveness serve as an important link to recovering from trust violation damages and cultivating future cooperation at work after a relationship conflict has occurred.

The findings of the present study bring new insights on the role played by sincere apology and interpersonal forgiveness in facilitating trust restoration and future cooperation at work after a relationship conflict episode has occurred.

Stirred by scant regard for market phases in portfolio performance assessments, the current paper investigates the active versus passive investment strategies under the bull and bear market conditions in emerging markets focusing on South Africa as a case study.

Methodologically, the measures of Jensen's alpha and Treynor index are applied to the monthly returns of 20 funds from January 2010 to June 2022.

The results are enlightening; though they contradict developed market evidence, they are consistent with emerging market trends. The findings show that actively managed funds outperform the market benchmark and passive investing style under bear and normal market conditions. Passive investment strategy outperforms both market benchmark and actively investing style under bull market conditions.

In the face of improved market efficiency, increased liquidity and recent technological impact, the findings of this study have practical application. The study outcomes should inform and update global investors, especially asset managers interested in emerging markets; however, the limitations of the study should also be considered.

While limited studies consider market conditions when comparing and contrasting the performance of passive versus active investing, such consideration is lacking in emerging markets. The current study corrects this literature imbalance.