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Networks linking tourist attractions or organizations are a major focus of tourism research. Despite extensive research on tourism networks, academic research on the spatial structure and formation of wine tourism networks is limited. This study aims to investigate the spatial structure and factors influencing the development of a network among Ningxia wineries, an emerging wine tourism destination in China.

This study uses social network analysis to uncover “what” the spatial structure of wine tourism networks looks like. Sixteen in-depth interviews were conducted among key stakeholders to explain the “why” of such structural characteristics.

The results show that in an emerging wine tourism destination, popular tourist attractions enjoy high centrality and hold key positions in the wine tourism network. Small wineries exhibit high closeness centrality, and only one winery serves as a network broker. According to the stakeholders, the importance of network actors will increase as their economic and political importance increase, while small wineries that lack differentiation in the network may perish.

Local governments can implement the suggested measures for improving network connections, and wineries are advised to find suitable positions to improve the experiences of tourists.

This study pioneers the identification of the distinct structure and factors influencing the network of an emerging wine tourism destination, thus enriching the understanding of the interplay and roles of different actors.

This article aims to examine the impact of multiple suppliers on competitive advantage by exploiting digital capabilities.

The author propose a structural equation model with the adopted measure from the literature. Hence, the study conducted an online survey in Indonesia with 450 qualified respondents involving managers and owner-managers.

The results indicate multiple suppliers help the firms to exploit digital capabilities, which foster them to achieve competitive advantage. Hence, different level of market turbulences determines the impact of numerous suppliers on competitive advantage. Specifically, the multiple-suppliers approach is more effective in supporting buyer firms to gain a competitive advantage during high market turbulence than low market turbulence.

This study offers empirical evidence with unit analysis of buyer firms that seek competitive advantage by exploiting digital capability. However, this approach focusses on a single unit analysis, which is buyer firms. Hence, there is an opportunity to adopt qualitative approach to explore the suppliers and end-users from different perspectives from other supply chain players.

This article contributes to the growing literature on the resource-based theory by examining the relationship between the multiple-sourcing model and competitive advantage. The authors also discuss the intersection between resource-based, dynamic capability and stakeholder theory.

Due to the frenetic and dynamic working conditions ascribed to architecture, engineering and construction (AEC) project organizations, enormous research has addressed the poor mental health propensity of project management practitioners (PMPs). However, research has not considered the distant factors related to organizational design causing poor mental health. Therefore, this study addresses the problem by integrating institutional theory, agency theory and resource-based theory (RBT) to explore the relationship between organizational design elements: project governance, knowledge management, integrated project delivery, project management skills and mental health management indicators. Examples of mental health management indicators include social relationships, work-life balance and project leadership.

Purposive sampling method was adopted to collect survey data from 90 PMPs in 60 AEC firms in Australia. Structural equation modelling (SEM) was utilized to test the relationship between the variables.

The research found that project governance, knowledge management and integrated project delivery are positively correlated to mental health management indicators. However, the research finding suggests that project management skills have a negative impact on mental health management indicators.

The findings offer guidelines to AEC firms on achieving positive mental health management outcomes through concentration on project governance, knowledge management and integrated project delivery. It further calls for a reconsideration of existing project management skills causing poor mental health management outcomes.

The rise in the instances of ethical scandals in recent times has brought to light the hitherto ignored phenomenon of unethical proorganizational behavior (UPB) by employees. Drawing upon the social exchange theory, this study aims to examine the role of perceived organizational support (POS) and organizational identification on UPB. The research also investigated the moderating role of core self-evaluation (CSE) and positive reciprocity beliefs.

The hypotheses were tested with three-wave survey data collected from 306 executives from India. Data was analyzed using mediation and moderated mediation analyses on PROCESS v 3.0 macro.

Results showed that organizational identification mediated the relationship between POS and UPB. Further, CSE and positive reciprocity beliefs were seen to moderate the mediated relationship providing support for the moderated mediation framework.

The study highlights the importance of clear code of ethics, communication of ethical guidelines and ethical behavior of the managers as some of the ways to reduce the menace of UPB. Further, managers should be more vigilant toward the employees low on CSE and high on positive reciprocity beliefs as they are more prone to engage in UPB given their identification with the organization.

To the best of the authors’ knowledge, this is the first study to investigate the mediating role of organizational identification in the relationship between POS and UPB. Further, to the best of the authors’ knowledge, no previous study has explored the moderating role of CSE and positive reciprocity beliefs in the aforesaid mediation.

As the application of crowdsourcing contests grows, leveraging the participation of superstars (i.e. solvers who have outstanding performance records in a crowdsourcing platform) becomes an emergent approach for managers to solve crowdsourced problems. Although much is known about superstars’ performance implications, it remains unclear whether and how their participation affects the size of a contest crowd for a crowdsourcing contest. Based on social contagion theory, this paper aims to examine the impact of superstars’ participation on the crowd size and studies how this impact varies across solvers with different heterogeneity in terms of skills, exposure and cultural proximity with superstars in crowdsourcing contests.

This paper uses secondary data from one crowdsourcing platform that includes 6,587 innovation contests to examine superstars’ main and contextual effects on the crowd size of a contest.

Our results reveal that superstars’ participation positively affects the crowd size of a contest in general. This finding suggests that social contagion is a fundamental mechanism underlying crowd formation in crowdsourcing contests. Our results also indicate that in contests that involve multiple superstars, superstars’ effect on crowd size becomes negative when we simultaneously consider other solvers’ heterogeneity in terms of skills, exposure and cultural background, and this negative effect will be intensified by increases in the skill gap, extent of exposure and cultural proximity between superstars and other solvers in the same contest.

Our research enhances the understanding of the influence of superstars and the mechanism underlying the emergence of contest crowds in crowdsourcing contests and contributes knowledge to better understand social contagion in a competitive setting. The results are meaningful for sourcing managers and platform supervisors to design contests and supervise crowd size in crowdsourcing contests.

Corruption is a major social problem, and scholars have devoted considerable attention to this phenomenon. However, less attention has been paid to how corruption spreads among organizations and what factors can make its spread more likely. This study aims to fill the gap by modelling corruption as an interorganizational contagion.

The authors used social contagion theory to model corruption as an interorganizational contagion, influenced by the susceptibility of organizations and the strength of contagion sources. The study analysed 736 medium and large Italian municipalities over a five-year period, with 3,146 observations (excluding missing data). The authors conducted a longitudinal analysis using panel logistic regression techniques and performed robustness and endogeneity checks through a dynamic panel data model.

The authors found that municipalities with a higher percentage of corrupt neighbouring municipalities were more likely to experience corruption. The probability of experiencing corruption was also significantly higher for municipalities with weaker organizational resistance to corruption contagion.

Previous studies have not clearly explained the organizational mechanisms behind the spread of corruption at the interorganizational level. The study suggests that corruption contagion at the municipal level occurs via reduced uncertainty in decision-makers and is influenced by the prevalence of corruption locally. The spread can be driven by conscious or unconscious mechanisms. This study challenges the idea that corruption contagion is immediate and inevitable. Organizational resistance to corruption can affect the risk of contagion, highlighting the importance of anti-corruption controls and ethical systems in preventing it.