Although prior studies have indicated the interrelationships between specific types of innovation strategy and specific elements of organizational culture, few studies simultaneously evaluate the relationship between the two multi-dimensional constructs in holistic perspective. Based on configuration theory, we conceptualize fit as 'profile deviation', and investigate the fit between an organization's culture and its innovation strategy. Data were collected from 183 Chinese organizations. We examine the hypothesis that greater fit between organizational culture and innovation strategy encourages superior innovation speed and innovation quality. Our results provide evidence that in the group of organizations exhibiting either exploratory or exploitative innovation strategy, the more similar the organizational culture configurations are to those of the top performers, the higher their innovation speed and innovation quality are. In the group of organizations exhibiting ambidextrous innovation strategy, the fit between organizational culture and innovation strategy is insignificantly associated with innovation speed and innovation quality. Implications for applying the culture-strategy fit in innovation management are discussed.
Geographical indications (GIs) are names of regions or places associated with particular products (Menapace & Moschini, 2014). They are used as labels to convey product quality to consumers (Moschini et al., 2008;Yormirzoev et al., 2021) and to reflect product-specific attributes, reputation, and other characteristics that can be attributed to geographic origin (Niu & Wang, 2014). Accordingly, the product named by the geographical name refers to the geographical indication product (GI product). Some examples of GI products, as listed in the World Intellectual Property Organization (https:// www.wipo.int/geo_indic ation s/en/), include Switzerland's Gruyère cheese, Mexico's tequila, Georgian wine, and more specific regional products such as Pinggu peaches (the Pinggu district north of Beijing, China) and Roquefort cheese (the Roquefort-sur-Soulzon region of France). Because of their historical heritage or unique geographic locations, GI products often suggest high-quality clues to consumers and thus possess good market credibility and appeal (Niu & Wang, 2014). Consequently, consumers use geographic origin tags as an important signal of product quality to reduce search costs and purchase risks (Li et al., 2017).The importance of GI products to local/regional economic development is well recognized as GI products usually have a higher market demand and are sold at higher prices than non-GI products
Purpose
This study aims to examine if the participation of live-stream influencers (LSIs) affects tipping frequency on live streaming platforms, and further investigate the mediating and moderating mechanisms.
Design/methodology/approach
Quasi-experiment and difference-in-differences models are used for data analysis. Propensity score matching is used to address potential unobservable endogeneity.
Findings
Real-time live streaming data reveal that LSIs’ participation significantly improves tipping frequency in live streaming rooms. Also, more users are attracted to the live streaming rooms and more users become active in participation. Additionally, the positive impact of LSIs’ participation is enhanced in the live streaming rooms with a greater number of relationship links between users.
Research limitations/implications
The findings clarify the new role of influencers and reveal the mechanisms on how LSIs benefit the platforms.
Practical implications
The findings offer novel insights into implementing influencer marketing to interactive social media platforms, by encouraging influencer participation, user relationship building and influencer network growth.
Originality/value
This study highlights the value of LSIs for interactive social media platforms in terms of organic growth, revenue generation and cost reduction.
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