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This paper aims to explore how manufacturing firms pursue business model innovation (BMI) through their use of outside-in thinking.

Survey data were collected on 175 Chinese manufacturing firms. A regression model was used to verify the research results.

Manufacturing firms rely on outside-in thinking to develop BMI under different market and institutional environments. From a whole-value-chain perspective, interacting with customers and sharing information with suppliers are two key ways to develop BMI.

Firms focus on customer needs, sense the dynamics of external markets and technology and seize market opportunities to measure outside-in thinking. Empirical results suggest using other measures of outside-in thinking. BMI itself can be multidimensional, so scholars could consider BMI’s diverse dimensions and measurements, which may demand different kinds of outside-in thinking.

Manufacturing firms can use outside-in thinking to overcome inertia and rigidity and increase their knowledge, information and technology. Managers should develop outside-in thinking to respond quickly to emerging economies. Managers should use value chain collaboration and improve the firm’s capacity to interact with customers and suppliers to apply the benefits of outside-in thinking to their BMI.

The study explores how outside-in thinking is a key driver of BMI. Applying the whole-value-chain view, it finds that interacting with customers and suppliers connects outside-in thinking with BMI. It also highlights the effects of intense market competition and volatile government regulation on BMI.

The purpose of this study is to examine how formal contracts affect alliance innovation performance. To understand the mechanism underlying the impact, this study tests whether relationship learning mediates the impact of formal contracts on alliance innovation performance and how guanxi moderates the mediating effect.

This study is conducted with a sample of 225 manufacturers in China. This paper used hierarchical regression analysis to test the hypotheses and used the PROCESS method to test the mediating effect of relationship learning.

Formal contracts positively affect relationship learning, which facilitates alliance innovation performance. Guanxi positively moderates the effect of formal contracts on alliance innovation performance. Relationship learning mediates the relationship between formal contracts and alliance innovation performance. Moreover, guanxi positively moderates the mediating effect.

Future research could investigate factors moderating the effect of guanxi on alliance innovation performance and moderating the effect of relationship learning on alliance innovation performance. Future research can also use secondary data to measure alliance innovation performance. Future researchers can examine how guanxi as a relational mechanism governance affects relationship learning.

Managers should conduct relationship learning in the process of alliance innovation and realize that reducing opportunism does not mean improving innovation performance. Moreover, managers should know that guanxi could contribute to alliance innovation performance with the help of formal contracts.

Prior studies have mainly focused on the fundamental requirement of governing knowledge exchange in alliances. Little is known about the mediating effect of relationship learning on the relationship between formal contracts and outcomes of innovation alliances. This study contributes to the literature by filling the gap.

This study aims to examine the moderating effects of two important consumer characteristics (product familiarity and risk aversion) on the relationships between two intransient cues (store image and product signatureness) and consumer quality perception of private label, as well as the interaction between the cues themselves.

This paper employs survey research to test three main hypotheses. The authors collected data from parents in an elementary school in a southern state.

The study yields some counterintuitive results. The paper finds that the combination of two diagnostic cues does not necessarily enhance the positive evaluation of private labels. Instead, store image reduces the effect of product signatureness. Further, product familiarity induces a positive moderating effect on product signatureness, whereas risk aversion exerts a negative moderating effect on store image.

Prior literature neglects the interactions between cues and consumer characteristics and the interaction between cues themselves in consumer quality evaluation of private labels. This research addresses these gaps and offers useful insights about private label strategies.

Organizational resistance to technological innovations creates hurdles to diffusion of innovations in industrial technology markets. This study aims to examine the causes of this problematic phenomenon and develop useful strategies to overcome innovation resistance of organizational customers.

The paper's conceptual framework is adapted from the motivation‐opportunity‐ability (MOA) paradigm of consumer and organizational information processing. The analysis draws on a body of multidisciplinary literature, empirical observations, and case studies.

The determinants of organizational innovation resistance encompass the psychological, economic, technological, political, strategic, and organizational structural aspects of a technological innovation. Information flow is the key to breaking through the resistance barrier and promoting diffusion of innovations among industrial customers.

An empirical study is needed in the future to test the propositions developed.

The study offers useful strategies to overcome organizational innovation resistance and new approaches to segment and target organizational buyers in technology markets.

The paper fills a research gap in studies on diffusion of innovation by explaining organizational innovation resistance and proposing useful strategies to tackle this problem.

This paper aims to clarify how organizations manage their participation in networks to share and jointly create knowledge but also risk unwanted knowledge spillovers at the same time. As formal governance, trust and observation are less applicable in informal networks, the authors need to understand how members address the need to protect knowledge by informal practices. The study aims to investigate how the application of knowledge protection practices affects knowledge sharing in networks. The insights are relevant for organizational and network management to control knowledge risks but harvest the benefits of network engagement.

The authors opted for an exploratory study based on 60 semi-structured interviews with members of 10 networks. In two rounds, network managers, representatives and members of the networks were interviewed. The second round of interviews was used to validate the intermediate findings. The data were complemented by documentary analysis, including network descriptions.

Through analyzing and building on the theory of psychological contracts, two informal practices of knowledge protection were found in networks of organizations: exclude crucial topics and share on selected topics and exclude details and share a selected level of detail. The authors explored how these two practices are enacted in networks of organizations with psychological contracts.

Counter to intuition that the protection of knowledge can be strengthened only at the expense of knowledge sharing and vice versa, networks benefitted from more focused and increased knowledge sharing while reducing the risk of losing competitive knowledge by performing these knowledge protection practices.