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This study investigates how a competitor orientation (knowledge of and acting on competitors' strengths and weaknesses) facilitates coopetition activities (collaboration with competitors), within networks of competing micro-sized, independent, family restaurants, owned by entrepreneurs from ethnic minority backgrounds.

An instrumental case study features data collected from interviews with 30 owners (as key informants) of micro-sized, independent, family-owned restaurants, in two urban clusters within the Midlands (UK). Specifically, the context involves restaurants offering South Asian cuisine and where the owner originated from the Indian sub-continent (Bangladesh, India or Pakistan). Secondary data were collected wherever possible. These two clusters (not named for ethics reasons) are highly populated by members of these respective ethnic communities; also, they contain a relatively large number of restaurants offering South Asian cuisine.

A competitor orientation facilitated strong coopetition-oriented partnerships comprised of extended family and intra-community members that helped enhance individual firms' performance, maintained family employment and sustained their cluster. It also helped owners develop subtle counter strategies where weak ties existed, such as via inter-community networks. For example, strategies attracted customers that were not loyal to a particular restaurant, or indeed, sub-ethnic cuisine (within Bangladesh, India or Pakistan, like the Punjab region). Subtle as opposed to outright counter strategies minimised retaliation, since restaurant owners wanted to avoid price wars, or spreading misinformation where the reputation of a cluster may suffer alongside the likely survival of individual businesses within that regional cluster.

Mixed evidence exists in earlier studies regarding the competitive rivalry in certain sectors where ethnic minority ownership is prominent; not least, restaurants located in regional clusters. However, this investigation considers the notion – what if some of these earlier studies are wrong? More specifically, does certain prior research under-represent the extent that rival entrepreneurs of an ethnic minority origin collaborate rather than compete for mutually beneficial purposes? New evidence emerges regarding ways in which a competitor orientation can influence the performance-enhancing nature of coopetition activities among business owners originating from both intra and inter-ethnic communities.

Cultivating loyal customers is a pressing concern for streamers. The present study investigates how to build interpersonal relationships with streamers and whether different interpersonal relationship factors lead to repurchase intention and WOM intention in live streaming commerce. The moderating effect of gender is also examined.

A self-administered questionnaire was completed by 429 live streaming commerce users in mainland China. Partial least squares structural equation modeling was used to test the research hypotheses.

The results indicate that all four streamer attributes (expertise, authenticity, attractiveness, and homophily) have a positive influence on swift guanxi, and swift guanxi is effective in predicting both calculative commitment and affective commitment. In addition, all interpersonal relationship factors (swift guanxi, calculative commitment, and affective commitment) significantly affect repurchase intentions, with only affective commitment being linked to WOM intention. Also, the moderating role of gender was confirmed in expertise – swift guanxi, attractiveness – swift guanxi, cognitive commitment – repurchase intention and affective commitment – repurchase intention linkages.

This paper contributes to the live streaming commerce literature by integrating swift guanxi, calculative commitment, and affective commitment to understand the repurchase intention and WOM intention from the relationship-building process perspective. In addition, this paper enriches the source credibility and source attractiveness models by identifying gender boundaries on the effectiveness of these models in predicting swift guanxi.