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Self-serving leadership is a form of unethical leadership behavior that has destructive effect on its targets and the overall organization. Adopting a social cognition perspective, this study expands our knowledge of its adverse effect and the way to mitigate the effect. Integrating two sub-theories of social cognition (social information processing and social learning), we propose a theoretical model wherein self-serving leadership hinders team creativity through psychological safety as well as knowledge hiding, with task interdependence acting as a contextual condition. Results from a sample of 107 R&D teams revealed that self-serving leadership not only reduced team psychological safety, but also induced team knowledge hiding, both of which ultimately affected team creativity. The presence of high task interdependence buffered the destructive effect of self-serving leadership on team creativity via team psychological safety as well as the indirect effect via knowledge hiding.

Drawing on substitutes for leadership theory, this study examines the relationship between a sales team manager’s empowering leadership and his or her sales team’s customer knowledge creation capability. The authors develop and test a model that positions task interdependence, outcome interdependence, and their interactions as substitutes for empowering leadership. Further, the authors explore two perspectives of team-level performance—customer relationship performance and financial performance—as consequences of a sales team’s customer knowledge creation capability. Using matched data collected from sales team managers and sales team members, the authors find general support for their hypotheses. The study finds that a sales manager’s empowering leadership has a positive effect on a sales team’s customer knowledge creation capability. However, the results also suggest that the positive effect of empowering leadership on a sales team’s customer knowledge creation capability is mitigated when either outcome interdependence or both task and outcome interdependence are high. Further, as outcome interdependence and the interaction between task and outcome interdependence increases, a sales team’s customer knowledge creation capability also increases, which suggests that outcome interdependence and the combination of task and outcome interdependence replaces the role of empowering leadership. The study also finds that the greater a sales team’s customer knowledge creation capability is, the higher its customer relationship performance and sales team financial performance will be. Implications for customer knowledge creation in sales teams in the presence and absence of empowering leadership are discussed.

We investigate how multiple actors accomplish interdependent routine performances directed at novel intended outcomes and how this affects routine dynamics over time. We report findings from a longitudinal ethnographic study in an automotive company where actors developed a new business model around information-based services. By analyzing episodes involving interdependent routines, we develop a process model of routine work and dynamics across routines. We identify three types of routine work (flexing, stretching, and inventing) that generate increasingly novel actions and outcomes. Flexed, stretched, and invented performances create emerging consequences for further actions across routines and surface differences between actors that could lead to breakdowns of routine work. Actors respond to such consequences through iterative and cascading episodes of routine work. We discuss how our findings provide new insights in efforts to create variable routine performances and the consequences of interdependence for routine dynamics.

Can governments still use trade to reward and punish partner countries? While World Trade Organization (WTO) rules and the pressures of globalization restrict states’ capacity to manipulate trade policies, politicization of trade is likely to occur where governments intervene in markets. We examine state ownership of firms as one tool of government control. Taking China and India as examples, we use new data on bilateral trade disaggregated by firm ownership type as well as measures of political relations based on bilateral events and United Nations voting data to estimate the effect of political relations on import flows since the early 1990s. Our results support the hypothesis that imports controlled by state-owned enterprises are more responsive to political relations than imports controlled by private enterprises. This finding suggests that politicized import decisions will increase as countries with partially state-controlled economies gain strength in the global economy. Extending our analysis to exports for comparison, we find a similar pattern for Indian but not for Chinese exports and offer potential explanations for these differential findings.

Objective We provide details on how relationship researchers can use Monte Carlo simulation for power estimation and sample size determination for the simple and the mediation Actor–Partner Interdependence Model (APIM). In addition to power estimates for specific sample sizes, we show how the sample size for each effect can be determined. Background Researchers designing a study commonly want to know what sample size is required to detect a specific effect or in the case after data collection is completed what the power is for a specific effect. Method The solution we present asks for the correlations among the variables and allows for the specification of skewness and kurtosis and the incorporation of missing data. For the mediation APIM, power is estimated for the direct effects, indirect effects, and total effects. Results The illustrations demonstrate that indistinguishable members require sample sizes that are about half of the sample sizes required for distinguishable members and that skewed data tend to require larger sample sizes. The illustration of the mediation APIM reveals that it is not uncommon that some of the simple indirect effects are significant, but none of the total indirect effects and none of the total effects are. Conclusion Monte Carlo simulation provides an easy‐to‐use and flexible solution to determine power and sample sizes for the simple and mediation APIM for distinguishable and indistinguishable members. Implications Recommendations are made for dyadic studies with small sample sizes and studies using the mediation APIM.

In popular relationship resources, accepting influence is regarded as a couple‐level process vital for relational satisfaction. However, empirical research has demonstrated inconsistent evidence for these suppositions, with several studies identifying no associations between accepting influence and relationship outcomes, and, furthermore, several gaps in the literature remain with regard to our knowledge on accepting influence (e.g., little identified research on military couples or family outcomes). To address these gaps, a measure of perceptions of one's partner accepting influence was retrospectively created to examine accepting influence in Army couples (N = 244). With theoretical underpinnings from family systems theory, this study used an actor‐partner interdependence approach to investigate the associations between partners’ accepting influence and couple communication satisfaction and satisfaction with the family. Service members’ perceptions of their partners’ accepting influence were associated with their own outcomes, whereas civilian spouses’ perceptions of partners’ accepting influence were related to both partners’ outcomes. Results suggest accepting influence may be an intervention point to improve couple and family outcomes.

There is a growing interest in ecosystems as an approach for understanding the context of entrepreneurship at the macro level of an organizational community. It consists of all the interdependent actors and factors that enable and constrain entrepreneurship within a particular territory. Although growing in popularity, the entrepreneurial ecosystem concept remains loosely defined and measured. This paper shows the value of taking a systems view of the context of entrepreneurship: understanding entrepreneurial economies from a systems perspective. We use a systems framework for studying entrepreneurial ecosystems, develop a measurement instrument of its elements, and use this to compose an entrepreneurial ecosystem index to examine the quality of entrepreneurial ecosystems in the Netherlands. We find that the prevalence of high-growth firms in a region is strongly related to the quality of its entrepreneurial ecosystem. Strong interrelationships among the ecosystem elements reveal their interdependence and need for a systems perspective.

The research explores a novel phenomenon in which information and communication technology (ICT), which is originally designed for knowledge transferring, may result in employees’ knowledge hiding due to increasing use intensity. Specifically, drawing upon the appraisal theory of empathy, we develop a moderated mediation model of empathy linking ICT use intensity and knowledge hiding. The hypothesized model is tested by conducting a scenario-based experimental study (Study 1, N  = 194) and a multi-wave field study (Study 2, N  = 350). Results show that ICT use intensity is positively related to employees’ knowledge hiding through the mediating role of their empathy. Moreover, competitive goal interdependence strengthens the negative relationship between ICT use intensity and employees’ empathy, and the indirect positive effect between ICT use intensity and employees’ knowledge hiding. Overall, the research answers the questions of how and when ICT use intensity may influence employees’ knowledge hiding. Finally, the theoretical and practical implications of the research findings are discussed.

Feeling satisfied in our relationship and communicating effectively with a partner are both important for people involved in a romantic relationship and clinicians working with these couples. Thus, decades of research have been dedicated to understanding how communication influences relationship satisfaction, but only a few looked at how satisfaction may impact communication. The present study aimed to examine the bidirectional associations between communication patterns and relationship satisfaction by using a cross-lagged actor-partner interdependence model in a sample of 311 Canadian mixed-sex couples over a 1-year period. Results revealed only one relevant statistically significant association. Negative communication in both partners was a significant predictor of their own relationship satisfaction over time. No statistically significant associations between one's satisfaction or communication and their partner's satisfaction or communication were found. Our discussion will highlight the importance of decreasing negative communication behaviours between partners to increase their couple's well-being through different interventions. Se sentir satisfait de sa relation et communiquer efficacement avec son partenaire sont deux éléments importants pour les couples engagés dans une relation amoureuse et les cliniciens qui travaillent avec ces couples. Ainsi, des décennies de recherches ont été consacrées à la compréhension de l'influence de la communication sur la satisfaction relationnelle, mais seules quelques-unes ont examiné l'impact de la satisfaction sur la communication. La présente étude visait à examiner les associations bidirectionnelles entre les modes de communication et la satisfaction relationnelle en utilisant un modèle d'interdépendance acteur-partenaire à décalage croisé dans un échantillon de 311 couples canadiens de sexe mixte sur une période d'un an. Les résultats n'ont révélé qu'une seule association pertinente et statistiquement significative. La communication négative chez les deux partenaires était un prédicteur significatif de leur propre satisfaction relationnelle au fil du temps. Aucune association statistiquement significative entre la satisfaction ou la communication d'une personne et la satisfaction ou la communication de son partenaire n'a été trouvée. Notre discussion soulignera l'importance de diminuer les comportements de communication négatifs entre les partenaires pour augmenter le bien-être de leur couple à travers différentes interventions. Public Significance Statement Feeling satisfied in our relationship and communicating effectively with our partner are both of crucial importance in our romantic relationships. The aim of the present study was to examine whether communication patterns in couples predict how satisfied they are in their relationship, or whether their relationship satisfaction predicts their communication patterns. The results showed that only negative communication patterns in one partner were associated with a reduction in their own relationship satisfaction 1 year later, providing insight on how to improve couples' well-being.

This paper explores interrelationships between organizational routines and their effect on routine dynamics. We introduce a more aggregate perspective on routines, the cluster level, and develop a theoretical framework that helps understanding the dynamics of routine clusters. The framework combines thoughts on the division of labor, modularity, and the consequences of complementarities. It explains why single routines are grouped into clusters and how complementarities between the specialized routines of a cluster will affect its evolution. It is the main argument of this paper that, in contrast to the expanding dynamics of single routines, which continuously bring about variations, the dynamics of clusters are restricting, amounting to a selection mechanism in organizational practice. To illustrate and substantiate our argument, we use a historical case study on CEWE, the European market leader in photofinishing. We analyze how the cluster for 35mm photofinishing—the core routines of the analog years—reacted to the upcoming digital revolution in the 1990s. Our paper offers three contributions: First, we theorize on the interrelationship between routines and the anatomy of clusters. Second, we provide a conceptual framework for analyzing the dynamics of routine clusters that builds on complementarities and the related misfit costs. Third, by elaborating on these dynamics, our findings contribute to a multilevel theory of organizational routines by adding the meso level of the routine cluster to the micro level of single routine dynamics.