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This study aims to investigate the psychological mediating mechanisms through which omnichannel integration affects customer word-of-mouth (WOM) behaviors in omnichannel retailing.

Guided by prior omnichannel retailing studies, the authors identify taxonomy of customer WOM behaviors with three archetypes, namely, face-to-face WOM, online store WOM, and social media WOM. Then, the authors draw on social exchange theory (SET) to explain how omnichannel integration influences customer WOM behaviors through the mediating roles of perceived personal preference fit and perceived social relatedness. The authors empirically tested the model using structural equation modeling and multiple mediation analysis with a field survey of 335 omnichannel customers.

Perceived personal preference fit positively influences face-to-face WOM and social media WOM, whereas perceived social relatedness is positively associated with face-to-face WOM, online store WOM, and social media WOM. Furthermore, transactional integration and relational integration positively affect perceived personal preference fit, whereas relational integration has a positive effect on perceived social relatedness. Finally, perceived personal preference fit mediates the effects of transactional integration and relational integration on face-to-face WOM and social media WOM. Perceived social relatedness mediates the effects of relational integration on face-to-face WOM, online store WOM, and social media WOM.

The authors' study advances the omnichannel retailing literature by proposing a taxonomy of customer WOM behaviors in omnichannel retailing and identifying the mediating mechanisms through which omnichannel integration influences customer WOM behaviors.

This study focused on unpacking the instructional coaching process, addressing key questions about what happens during a coaching session and what coaching elements predict teacher outcomes.

Using coaching observational data, the research examined critical coaching processes described in the literature: coaching practices (observation, feedback, reflective discussion and planning), the coach–teacher relationship, coaching strategies and coaching duration. The study also developed a path model documenting how coaching behaviors predicted teacher instruction.

Results showed that the coach talked more than the teacher and that most coaching time was spent in reflective discussion. The coach–teacher relationship was promoted by building rapport and reciprocal trust, with use of “we” language demonstrating that coach and teacher were working as a partnership. Most common coaching strategies were clarifying and the coach prompting the teacher to attend to teacher or student behaviors. Path model analysis showed that (a) the coach–teacher relationship quality predicted the level of teacher engagement in coaching and their instructional reflection and (b) the quality of coaching strategies predicted the overall quality of the classroom instruction.

The study provides empirical evidence about the active ingredients of coaching – those underlying processes that impact and improve teacher practice.

Actor engagement (AE) literature shows inconsistent understandings of engagement intensity. However, a holistic picture of the nature of AE intensity is foundational to advance empirical AE models and measurement frameworks. This paper provides a nuanced understanding of what engagement intensity is and how it unfolds on different network levels.

This conceptual study draws from a literature review and offers a comprehensive classification scheme of AE intensity. The literature review extends beyond marketing and service research and draws from the etymology of AE intensity in management and social science, specifically, the fields of student, employee and civic engagement.

The classification scheme clarifies that AE intensity at the individual level refers to actors' affective and cognitive tone and varying magnitudes (i.e. efforts, duration, activeness) of resource investments. At the dyad level, AE intensity represents relational strength, and at the network level, it refers to the degree of connectedness in the network.

The research reconciles conceptual inconsistencies in the AE literature. Our classification scheme goes beyond the individual actor and actor–actor dyad and offers a holistic overview of possible ways to operationalize AE intensity in networks.

The classification scheme can be used as a strategic checklist to include AE intensities of individual actors (e.g. customers and employees), relationships between these actors and network connectedness, when further developing engagement measurement tools and benchmarks.

This is the first study providing a comprehensive understanding of AE intensity from an individual, dyadic and network perspective.

An optimal control model is built considering the private sector's opportunistic effort diversion and reciprocal effort improvement, while a numerical study is conducted to draw some managerial implications.

In infrastructure PPP projects, private sectors may opportunistically divert part of their effort from the current projects to other projects to allocate their limited human resources. Nevertheless, this effort diversion can be inhibited by dynamic incentives since the private sectors reciprocally exert greater effort into the current projects when receiving the dynamic incentives. This article investigates how the government specifies the output standard that the private sector should meet and offers dynamic incentives to mitigate the private sector's opportunistic effort diversion.

The output standard for the private sector to acquire the dynamic incentives should be specified as the output level corresponding to the private sector's optimal long-run stationary equilibrium (OLSE) effort level, which decreases with its reciprocal preference level but increases with its effort-diverting level. The optimal dynamic incentives comprise an initial incentive and a periodic OLSE incentive, which declines with the reciprocal preference level but improves with the effort-diverting level. Besides, the numerical study reveals that the government should distinguish whether the bidders have high effort-diverting levels and, if so, should focus on their reciprocal preference levels and decline the bidders with low reciprocal preference to avoid utility loss.

This article provides a theoretical model combining opportunistic behavior with reciprocal preference through an optimal control lens, thus embedding the problem of incentive design into a broader socioeconomic framework.

The purpose of this study is to investigate the factors influencing intention to continue using and spreading the word of mouth for e-commerce applications in the gamification context.

Using primary data from an online questionnaire, 219 users of e-commerce applications who played games on e-commerce platforms were gathered as the sample of the research and analysed using structural equation modelling.

The results showed that network exposure from gamification significantly influenced social influence, recognition and reciprocal benefit. However, only social influence and utilitarian shaped attitudes, leading to the intention to continue using the e-commerce platform and spread word of mouth. Recognition, reciprocal benefit and hedonic shopping motivation were not found to significantly influence attitude.

This study provides practical recommendations for e-commerce applications in implementing gamification into their platforms.

This study delivers a better understanding of the implementation of gamification in e-commerce by examining the in-game social interactions and the shopping behaviour in e-commerce to continue using the platform and spread the word of mouth about the gamification method.

The purpose of this study is to empirically examine the cause–effect relationships between workplace friendship and knowledge-sharing behavior, from a static perspective. Furthermore, it investigates the bi-directional relationship between the increase in both workplace friendship and knowledge-sharing behavior over same time periods, and also endeavors to identify whether there is a significant negative lagged effect of the increase in both workplace friendship on knowledge-sharing behavior, and vice versa, across time from a dynamic perspective.

The study conducts a three-wave questionnaire survey to test the research model. A latent change score approach was used to test the direct relationship between changes in workplace friendship and changes in knowledge-sharing behavior.

The findings reveal that knowledge-sharing behavior fosters workplace friendship and workplace friendship promotes the emergence of knowledge-sharing behavior. An increase in workplace friendship promotes an increase in knowledge-sharing behavior over same time periods. However, an increase in workplace friendship will lead to a lagged decrease of knowledge-sharing behavior across time, and vice versa.

The time interval in this study is a little short to capture the full changes in workplace friendship. Some important control factors and mediating mechanisms are not included in the research model.

This study guides managers to focus on various motivators to better strengthen workplace friendship and knowledge-sharing behavior and to consider and effectively respond to the negative side of workplace friendship and knowledge-sharing behavior across time.

This study emphasizes the predictivity of one important interaction patterns, namely, knowledge-sharing behavior on friendship at the workplace, from a static perspective. This study also shows the benefits of an increase in workplace friendship for the development of knowledge-sharing behavior in the same time period. Furthermore, the study presents a counterintuitive finding when taking the lag effect into consideration in exploring the relationship between changes both in workplace friendship and knowledge-sharing behavior, and identifies a negative side of both when viewed over longer periods.

Currently, many studies have shown an increasing interest in owner-dynamic capabilities (ODCs). Existing studies mainly focus on the dynamic capability basis and capability development within the owner organization, whereas they rarely analyze the capability mobilization within the network of participants in megaprojects. Therefore, this study aims to explain the interaction and evolution of the mobilization strategies of ODCs and the cooperative strategies of other participants.

This study develops a tripartite evolutionary game model to analyze the evolutionarily stable strategy of the owner, the reciprocal participants and the general participants. Results are numerically simulated with a validation case. The asymptotic stability of multiple group strategies is discussed under the replicator dynamic system.

This study suggests that resource complementarity significantly reduces the difficulty of mobilization. Moreover, these strategies are only effective with sufficient ODCs. The results indicate that reciprocal participants are more sensitive to the change in resource complementarity.

This study provides strategic guidance for mobilizing ODCs in megaprojects to better embrace uncertainty and stress, contributing to the dynamic capability literature with an evolutionary game approach. And new insight for the study of reciprocity preference in megaprojects is also provided.

This study aims to examine the long-term impact of leader–member exchange (LMX) on employee safety behavior. It proposes a conceptual model that includes the mediating role of job satisfaction (JS) in the relationship between LMX and safety behaviors, regarding safety compliance behavior (SCB) and safety participation behavior (SPB).

Data were collected from 325 health-care workers across public hospitals in Algeria at three waves. Data were analyzed with partial least square structural equation modeling.

The findings revealed that LMX positively influenced employees’ job satisfaction. However, the relationship between LMX and SCB was found to be mediated by job satisfaction. LMX was not directly related to both dimensions of safety behavior, whereas JS was positively associated with safety compliance and safety participation.

This is the first paper, to the best of the authors’ knowledge, to report on the significant mediating role of JS on the reciprocal process used to exchange resources between leaders and subordinates and safety behaviors among health-care workers, thereby filling an important research gap in existing literature.

This study aims to investigate the factors influencing the data sharing habits of psychologists with respect to academic reciprocity.

A research model was developed based on Ostrom’s (2003) theory of collective action to map psychologists’ underlying motivations for data sharing. The model was validated by data from a survey of 427 psychologists, primarily from the psychological sciences and related disciplines.

This study found that data sharing among psychologists is driven primarily by their perceptions of community benefits, academic reciprocity and the norms of data sharing. This study also found that academic reciprocity is significantly influenced by psychologists’ perceptions of community benefits, academic reputation and the norms of data sharing. Both academic reputation and academic reciprocity are affected by psychologists’ prior experiences with data reuse. Additionally, psychologists’ perceptions of community benefits and the norms of data sharing are significantly affected by the perception of their academic reputation.

This study suggests that Ostrom’s (2003) theory of collective action can provide a new theoretical lens in understanding psychologists’ data sharing behaviours.

This study suggests several practical implications for the design and promotion of data sharing in the research community of psychology.

To the best of the authors’ knowledge, this is one of the initial studies that applied the theory of collective action to the mechanisms of reputation, community benefits, norms and reciprocity in psychologists’ data sharing behaviour. This research demonstrates that perceived community benefits, academic reputation and the norms of data sharing can all encourage academic reciprocity, and psychologists’ perceptions of community benefits, academic reciprocity and data sharing norms all facilitate their data sharing intentions.

The extant literature on work–life balance (WLB) has generally overlooked the interrelationship between leadership and WLB. Does leadership have any impact on employees' use of WLB policies and practices? To answer this question, this article considers the social exchange theory as well as transformational and transactional leadership in an investigation of the impact of leadership on WLB.

The study employs qualitative data from 32 semi-structured interviews to achieve the study’s objectives.

The research reveals that leadership does matter in WLB. The study findings reveal that both the transactional and transformational leadership styles result in the establishment of strong reciprocal relationships between leaders and employees in terms of using WLB policies and practices. Managers only sanction the use of WLB policies and practices only as a reward for excellent performance or when they are completely sure the outcome will favour the organisation. The study concludes that the desire to achieve WLB has often led many employees to go the extra mile in carrying out their work duties, which is rewarded with an approval to use WLB policies and practices. These non-contractual exchanges emphasise reciprocity and are based on trust.

The extent to which the findings of this research can be generalised is constrained by the size and nature of the research sample.

Many managers are transactional leaders, and they purposefully allow their employees to use WLB policies and practices only as a reward for meeting targets and for excellent performance. This means that employees who fall short of the required targets and expected performance are not permitted to use WLB policies and practices. This finding implies that such employees experience incessant work–family conflict, which may have negative implications for their work engagement, overall well-being and work performance.

This study demonstrates that leadership is relevant to WLB. It shows that transformational leadership is supportive of WLB, as it considers employees' work performance and non-work outcomes. The results and practical implications of this study aids the understanding of the non-contractual exchanges involved in manager–employee relationships, which is crucial for ensuring employees' achievement of WLB and for organisations to achieve their goals.