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The purpose of this paper is to analyze the impact of inbound open innovation and organizational inertia on radical innovation capability (RIC). It also seeks to explore whether the existence of organizational inertia has a moderating effect and influence on the relationship between inbound open innovation and RIC.

In this empirical research, the authors collected sample of patents in smart phone industry over the 2000-2016 period. Then, the authors examined the direct roles of inbound open innovation and organizational inertia, and the moderating role of organizational inertia by using hierarchical regression analysis.

Results found that cognitive inertia (CI) has a positive influence on firms’ RIC, but network inertia (NI) has a negative influence on RIC. CI also has a significant moderating effect on the relationship between inbound open innovation and RIC, but NI only has a significant moderating effect on the relationship between open search breadth and RIC. Inbound open innovation directly affects RIC.

The authors collected the patent data of this study within the single industry and excluded other types of industries. And it may limit the generalization of the findings.

The paper includes implications for adopting an appropriate open search strategy and developing a better understanding of organizational inertia on firms’ radical innovation behavior. The findings suggest future directions to technology intensive industries for improving their RIC.

This study contributes to the relationship between organizational inertia and RIC within the framework of inbound open innovation.

Agenda for knowledge creation within inter-project alliances and inter-firm supply chain networks has been extensively debated. However, the existing knowledge networks within consultant-supplier interfaces in the architecture, engineering and construction (AEC) industry seem to be vague, loose, incidental and insignificant. This study examines factors affecting knowledge networking intention (KNI) within construction service supply chain (CSSC) networks.

Data analysis was conducted on a quantitative survey of 161 consulting professional service firms in Tanzania, employing stepwise regression modelling as the statistical technique.

The results indicate that three types of knowledge inertia (KI) exert varying effects on KNI. While both procedural (PI) and learning inertia (LI) negatively impact KNI, experience inertia (EI) has no impact on KNI. In addition, knowledge governance (KG) mechanisms are found to strongly strengthen and leverage the negative effects of PI and LI on KNI and the positive link between EI and KNI within outbound and heterogeneous CSSC actors, with formal KG having greater leverage than informal KG.

The study offers guidance on how managers of PBOs should strategically orchestrate knowledge governance mechanisms within CSSC networks to leverage KI behaviours.

Current literature on KNI, KI and KG within CSSC networks offers a limited understanding of how KI behaviours influence KNI of project-based organizations (PBOs) in tapping vibrant outbound peripheral knowledge. The research presents two major original contributions. First, the empirical evidence contributes to deepening the current understanding of how heterogeneous external knowledge within consultant-supplier interactions is negatively influenced by KI. Lastly, the study suggests formal and informal knowledge governance strategies for managers on how to counteract KI forces, thus extending the theoretical debate on KNI, KI and KG literature.

Built upon the push–pull–mooring framework, this study explores the factors that affect user switching from blog to microblogging. Low social presence is posited to form the push effect of blog, whereas larger referent network size and relative ease of use work together to shape the pull effect of newly emerging microblogging. Furthermore, adopting the status quo bias theory and habit literature as theoretical lens, affective commitment, switching costs and habit are regarded as important sources of inertia. Inertia is presumed to play a key role in mooring effects because it negatively affects switching intention and attenuates the main effects of pull and push factors. More importantly, the effects of affective commitment, switching costs and habit on switching intention are fully mediated through inertia.

An empirical study of 239 users who use blog and microblogging services concurrently was conducted in China.

Our findings indicate that low social presence pushes bloggers away, whereas relative ease of use pulls them to the microblogging. Affective commitment, switching costs and habit are important sources of inertia. In the context of this study, inertia fully mediates the relationship between habit and switching intention, and only partially mediates the effect of affective commitment and switching costs on switching intention. Furthermore, inertia negatively moderates the relationships between social presence, relative ease of use and switching intention.

This study expands our understanding of online service switching mechanism, and identified key factors in IT switching, such as social presence, affective commitment and inertia. We believe that these mechanisms and key factors are not necessarily limited to online services, but are largely applicable to other contexts in which people interact with technology. This study builds a useful foundation for future research.

Building on theories of inter-organizational knowledge flows and social network, we explored how two types of collaboration network embeddedness (NE) (i.e. structural embeddedness (SE) and relational embeddedness (RE)) drive firms' inbound and outbound open innovation (OI) practices from a knowledge flow perspective, and further examined these relationships are to what extent contingent on network inertia (NI).

In this empirical research, the authors collected a sample of patents in the unmanned aerial vehicle (UAV) industry over the period of 2000–2018. Then the authors examined the direct roles of SE and RE in collaboration networks on firms' inbound and outbound OI practices from a knowledge flow perspective, and the moderating role of NI by using negative binomial regression.

Empirical results from our study of 96 firms showed that both bridging structural holes position in collaboration networks (i.e. SE) and having stronger tie strength (i.e. RE) would positively affects firms' inbound OI practices, whereas only having stronger tie strength in collaboration networks (i.e. RE) would facilitate outbound OI practices. In addition, NI strengthens the relationships between SE and firm OI practice, but weakens the positive roles of RE on firm OI practice.

This empirical research provides new insights into whether and how firms can grasp the benefits of collaboration NE to conduct OI activities by exploring NI contingencies. It further sheds lights on the scope of the NE–OI issue from a knowledge flow perspective by extending its research context to UAV industry.

Based on the theory of habitual domain, the purpose of this paper is to explore inter‐firm networks' mechanisms for coping with environmental change and for assisting firms to adapt to their collaborative networks. Business globalization is driving more and more individual firms to form inter‐firm collaborative networks. These networks need to develop new types of strategic capability in order not only to adopt a robust business process that will achieve high efficiency, but also to develop a network system for responding to external environmental changes.

With insights gained from the case study, the paper develops an analytical framework for deconstructing the network behavioral changes based on the network habitual domain concept and discusses the dual roles of the network‐based habitual domain in network behavioral changes.

This paper demonstrates how a Chinese telecommunications service company and its inter‐firm network became the market leader in one of the provincial capital cities in China within six years.

From an endogenous perspective, this paper contributes some useful concepts that may assist both academia and managers to identify network‐based habitual domains, improve the domains continuously, enhance their response capabilities, and formulate appropriate strategies according to the competition's requirements.

The purpose of this paper is to examine the factors that affect the stability of interfirm trading ties in China's transitional economy. In particular, the paper explores whether the propensity to engage in repeat transactions with past partners is attributable to rational choice based on expectations for the benefits of social capital, or an outcome of institutional pressure that binds firms sharing similar positions within the institutional structure bequeathed from China's socialist past.

This study utilizes data on the actual trading ties between 32 final vehicle assemblers and 477 parts and components suppliers in the auto industry during the period from 1998 to 2005. Using logistic regression analysis, the study highlights the factors that lead to the greater likelihood of repeat transactions between a particular pair of assemblers and suppliers.

The result of the analysis suggests that while rational motives, such as transaction cost economization, do account for the propensity to engage in repeat transactions with past partners, it also confirms the persistence of a strong tendency to continue transacting with firms sharing similar institutional lineage, regardless of the benefits that could be accrued from such durable networks.

This study adds to the existing literature on social networks in China by highlighting the path‐dependency and institutional legacy in the formation of business networks during China's transition towards a market economy.

The purpose of this paper is to go beyond satisfaction as an indicator of customer loyalty and propose a holistic model of service switching in a mobile internet setting. The model, which reflects both barriers and inducements of switching, is developed based on the “mooring” and “pull” concepts in the migration literature.

Focusing on Generation Y mobile internet subscribers, the study analyzed a total of 417 usable questionnaire responses. Partial least squares structural equation modeling was used to test the research model.

The results show that first, satisfaction and switching barriers (i.e. a focal firm’s marketing innovation initiatives, switching costs, inertia, and local network effects) are positively related to customer loyalty; second, switching barriers have a stronger influence on customer loyalty compared with satisfaction; third, switching inducements (i.e. competitors’ marketing innovation initiatives, alternative attractiveness, variety-seeking tendencies, and consumers’ susceptibility to social reference group influence) is negatively related to customer loyalty and the relationship is weaker when perceived switching barriers are high.

This study empirically validates multidimensional scales of switching barriers and inducements from a more nuanced perspective, and specifies them as reflective-formative type II models. This study is among the first to use opposing dimensions to measure switching barriers and its counterpart. Hence, it illustrates how the two contrasting mechanisms can coexist in the minds of mobile internet subscribers.

This study aims to explore how entrepreneurial firms' networking logics may change under different types of perceived uncertainty. The arrival of new knowledge from the entrepreneurial firm's network may alter the perceived technology and market uncertainty that in turn determines how the firm adopts or combines the two opposing logics of causation and effectuation. Focusing on the roles of external advisors recruited by the firms, the study probes the details of the cyclical process and the mechanism through which networking logics are altered.

In this study the authors conducted a 3-year longitudinal multiple case study of 12 United Kingdom (UK) high-tech start-ups from prefounding to A-round funding with 54 semistructured interviews and meeting observations.

The knowledge of external advisors with distinct experience often reshapes the entrepreneurial firm's perceptions of uncertainty, leading to logics change in network development. The authors identify two types of knowledge brought by external advisors and discover how these can influence three networking logic pathways under different levels of technology and market uncertainty.

The study is one of the first to map the paths of changing logics along with different types of uncertainty in the context of entrepreneurial network development. The study unpacks one of the key mechanisms of networking logic changes: the knowledge and expertise of those advisors recruited by the entrepreneurial firms. The process model of changing logics contributes to the effectuation literature and entrepreneurial network research.

The purpose of this paper is to examine network failures and the main reasons why network organizations, intentionally developed by a group of actors to pursue specific goals, become unfruitful and fail in their goals and expectations of creating collective value. The goal of this paper is thus to contribute a better understanding of the reasons network organizations encounter problems in their dynamics that prevent them from reaching the expected outcomes.

The study is firstly based on a literature review finalized to identify the main variables considered as potentially impacting on network failures. Secondly, the paper is based on a survey conducted on 189 strategic networks that highlighted difficulties in achieving their goals. An analysis of the 24 questionnaires returned generated the results discussed. The empirical study concerns strategic networks intentionally created and signed by Italian SMEs according to a specific law designed to promote the development of inter-firm cooperation (“network contracts”).

The results of the research highlight the role of specific key items related to individual, structural, legitimacy, interaction and governance variables in explaining failures in network organizations. According to the data, failure can occur immediately before the network start-up, resulting in a blocked network or in a subsequent developmental stage, resulting in a dormant network. The empirical research demonstrated that the items affecting network failure differ between blocked and dormant networks. The authors explain such differences, considering them according to the expected goals declared by the two different types of networks.

The question of why networks fail is relevant in times of disruption and digitalization when new forms of organization are needed to link businesses and various stakeholders and thereby develop innovative and sustainable ideas for an entrepreneurial future. However, very few studies have examined network failure. The study contributes to this field of research by investigating the dynamics of networks intentionally developed to reach shared goals. The findings can be useful to both companies that decide to start up a strategic network and the policymakers that promote, finance and monitor inter-firm collaboration.

The purpose of the paper is to advance a framework that can analyze the impact of the egocentric alliance network on firm ambidextrous innovation holistically. On this purpose, the framework involves and integrates structural holes (SH), alliance functional diversity (AFD) and alliance partner geographical diversity (APGD) that measure network characteristics from structural, relational and nodal perspectives, respectively.

The authors collected multi-source matching panel data including alliance deals, technical patents and financial information during 2000–2017 of the 106 top high-tech firms in the computer, communications, electronics and biopharmaceutical industries and conducted a three-way interaction model to uncover the complex mechanisms from a contingency perspective.

Empirical results show that SH as structural capital is positive to both exploitative and exploratory innovation. Both AFD as relational capital and APGD as cognitive capital positively moderate the SH-exploitative innovation nexus rather than the SH-exploratory innovation nexus. APGD and AFD co-moderate the relationship between SH and firm ambidextrous innovation in the way that when APGD and AFD are both high, SH has the strongest positive impacts on firm exploitative and exploratory innovation.

This research provides new insights into the benefit-cost paradox of the structural brokerage position (SH) by uncovering relational (AFD) and nodal (APGD) network characteristics that impact the trade-off. Also, it contributes to social capital theory by differentiating three dimensions of network capital (structural, relational and cognitive capital) and integrating them into ambidextrous innovation research. Finally, the findings give firms enlightenment to configure their egocentric alliance network for innovation ambidexterity.