Search results

The purpose of this paper is to describe different ways in which a buyer and supplier can be embedded in a dyadic relationship and how these differences influence patterns of inter-firm innovation activities and outcomes. Specifically, to address the relative paucity of theoretical work on how dyadic configurations influence parties’ joint innovation behavior, this study examines how different buyer-supplier embeddedness (BSE) configurations change the four choices that pertain to the levels of involvement buyers and suppliers exhibit in inter-firm innovation activities. These choices concern the processes buyers use to engage suppliers; the scope of efforts in each party; the locus of effects determining the beneficiaries; and the extent to which parties disclose private innovations within the relationship.

Drawing on social embeddedness literature, the authors conceptualize dyad level, BSE in two dimensions: relational and structural. The relational dimension describes the quality of relationship, while the structural dimension describes the intensity of exchanges between the parties. Together these dimensions allow the authors to map the differences in BSE configurations and provide a basis for exploring their links to inter-firm innovation patterns.

The authors demonstrate the configurational approach to the innovation patterns in inter-organizational setting. That is, the authors conclude that different configurations of BSE are likely to produce distinctive patterns of choices for inter-firm innovation activities.

This study applies social embeddedness perspective to conceptualize dyadic BSE. Adoption of this concept allows dimensionalizing the dyadic relationships into two distinct dyadic elements, relational, and structural dimensions. Also, the concept has rich implications for how partner firms interact and share information. The dyad’s innovation potential and patterns are considered based on the configurations of dyadic embeddedness.

Based on the strategy and new institutional economic literature, this study aims to explore how different levels of supplier concentration (SC) will be characterized by differences in switching cost and coordinated adaptation in an ecosystem, thereby shaping its research and development (R&D) intensity, innovation performance and innovation efficiency.

This study adopted a set of panel data of Chinese listed firms in the Growth Enterprise Board and their top five suppliers from 2012 to 2016. A Tobit model is used to test the hypotheses.

The study finds that SC has an inverted U-shape effect on R&D intensity. This finding implies that firms are more likely to invest in R&D when SC is intermediate level. While it has a U-shape relationship between SC and innovation output, both lower SC and higher SC are more efficient in innovation because of their advantage in low switching cost and better coordinative adaptability, respectively.

The study complements the innovation ecosystem literature by using SC to represent the structure of the interdependence between firms and suppliers in an ecosystem, then examining the correlation between SC and firms’ innovation investment and output, respectively. Second, combining strategy and new institutional economic literature, the non-linear effects of SC on firms’ innovation are found.

The activewear industry would benefit from an evidence-based understanding of how activewear is incorporated into women’s lives and their changing participation in physical activity. Activewear brands may be missing the trend of women moving from organised sport to non-organised and individualised sport and recreation. The purpose of this paper is to explore the degree to which academic and industry research understood patterns and influences on female’s activewear consumption and identified what significant gaps are evident in understanding the drivers and industry trends that pertain to female consumers of activewear.

The systematic literature review sought academic and industry research papers. Articles were selected if they included female participants; and/or addressed consumer related information; and focussed on active wear. Article findings were thematically analysed.

Most literature exploring activewear consumption fails to take gender into consideration or explore unique female consumer profiles. Females are bringing activewear into other parts of their wardrobe and place more value on fashion, even for sports attire. Research identified the need for activewear brands to consider lifestyle, emotional and personality elements of consumer behaviour. However a specific focus on women’s branding was absent. Women’s age and generation influenced their activewear consumption. Although some industry reports discussed the shift in use of activewear, no studies explored the impact of the critical shift in women’s physical activity patterns on the activewear industry.

This review identifies the gap in knowledge regarding women’s activewear consumption patterns and needs, and the importance of reflecting the changes in female physical activity participation. It also links marketing and design of women’s activewear to the needs of female consumers based on their actual patterns and trends in physical activity. The findings are relevant to activewear researchers, brands, marketers and producers.