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This paper aims to offer a novel set of insights to understand the role of network ties in pursuit of radical innovation. In this sense, the purpose of the study is to analyze how the heterogeneity in the content of network ties affects radical innovation performance.

Based on a comprehensive review of existing literature, this paper conceptualizes how different types of network ties affect radical innovation performance by deriving five research propositions.

Both buyer-supplier ties and peer collaboration ties are positively related to radical innovation performance, whilst the peer collaboration ties may be further affected by partner similarity. Compared to other two types of network ties, equity ties act as more of moderating roles on spurring radical innovation. Crowding out between network ties prevents firms from knowledge searching within an extensive network scope, reducing the opportunities of mixing and matching different kinds of knowledge needed for radical innovation.

The study suggests a natural way of launching marketing strategy by selectively integrating different sources of knowledge (market, supplier or technology) needed for commercializing radical technologies, highlighting the importance of partner selection for radical innovation among different types of firms surrounding the current market. For managers, it is necessary to identify and select network ties helpful for long-term business and strategic interests.

This paper makes two main contributions. First, it addresses the question of how networks influence radical innovation by identifying three types of network ties and their effects – individual and in combination – on extension of the depth and breadth of knowledge and development of disruptive ideas. Second, it develops the existing literature by demonstrating the crowding-out effect of network ties.

The purpose of this paper is to examine the determinants of the reconfiguration capability from a multilevel organizational perspective including interfirm collaboration, intrafirm collaboration, individual‐, group‐ and organization‐level learning.

Using a questionnaire survey, the paper is based on data collected from 83 British software firms. Reliability and item total correlation analyses have been undertaken to ensure the internal consistency of the applied measures. A principal component analysis and multiple regression analysis have been applied to examine determinants of the reconfiguration capability.

The findings indicate that interfirm collaboration positively relates to the implementation of effective reconfiguration. In addition, the findings have revealed that group‐level learning is a successful technique for improving a firm's ability to recombine knowledge streams. Finally, the paper emphasizes the role of organization‐level learning in creating the strategic and structural context from which reconfiguration capability operates.

The paper provides some empirical evidences, which have identified the factors that affect the implementation of the reconfiguration capability.

The purpose of this paper is to develop a comprehensive model for horizontal logistics collaboration (HLC), including the collaboration types, enablers, context influence and performance indicators.

First, this study discusses the currently available typologies and their limitations and defines relevant collaboration classification dimensions. Then, a detailed analysis of each dimension is conducted, including the identification of resulting collaboration types. Next, collaboration enablers and the context influence are discussed, as well as their implications on the logistics system, with a specific focus on agri-food supply chains (AFSCs). Additionally, adequate key performance indicators (KPIs) are selected to evaluate collaboration outcomes. Finally, the horizontal logistics collaboration concept (HLCC) is applied to an illustrative case study from AFSCs.

The results show that HLC is a complex strategy where several elements intervene in the creation of the collaboration scenario. The research also shows that the specific characteristics of AFSCs influence the partners' selection process and increase the importance of partners' similarity and information exchange.

The results provide managers with practical insights into the dynamic nature of HLC both at the operational and relational levels.

This paper provides a theoretical contribution by introducing a new comprehensive model for HLC and a practical typology that allows a deeper understanding of the mechanisms governing different HLC scenarios.

Transitional governance trajectories – i.e. trajectories in which an established firm first engages in equity collaboration with an entrepreneurial firm and subsequently acquires the entrepreneurial firm – are becoming an increasingly popular strategy for established firms to get access to novel and pioneering technologies. In this chapter, we critically assess the existing literature on transitional governance trajectories. In particular, we rely on insights from the existing alliance and acquisition literature to question three implicit assumptions (i.e. established partner is the dominant partner in transitional governance trajectories; established partner behaves as a passive financial investor during pre-acquisition collaboration and post-acquisition integration is likely to proceed smoothly) that are applied by existing studies on transitional governance. On the basis of this critical assessment, we identify theoretical, methodological and managerial challenges for future research on transitional governance.

This paper argues that social contexts and social capital enable knowledge integration; that different social contexts combined with different types of social capital enable different types of knowledge integration. Four types of social contexts are distinguished based on the extent of social embeddedness and closeness of interorganizational coupling; four types of social capital are also described. Based on the diversity of knowledge streams, the extent of tacitness of knowledge to be exchanged, and value created through such exchanges, four modes of knowledge integration are identified, namely frontier, incremental, combinative, and instrumental. This paper provides new insights about the processes of interorganizational transfer of knowledge: the unique combination of a specific social context with a specific type of social capital means firms can achieve equally effective yet highly differentiated approaches to different modes of knowledge integration.

The purpose of this paper is to develop a comprehensive continuous innovation capability (CIC) measurement model in manufacturing sectors.

The development of this CIC model was conducted through three stages of research, i.e. identification of manufacturing continuous innovation measures (MCIMs), development of measurement model, followed by model evaluation and validation. MCIMs were identified using systematic literature review and focus group discussion. Selection process for MCIMs employed the fuzzy Delphi method. To develop measurement model, contextual relationships between MCIMs were assessed using total interpretive structural modeling, followed by measurements of MCIMs weight with the analytical network process method. Then, assessment indicators for each MCIM and criteria were determined as well as mathematical model to measure CIC scores. Model evaluation and validation were performed in two case studies: in an automotive company and an electronics company.

This research produced 50 criteria and 103 assessment indicators, as well as mathematical model to measure CIC scores. The validation process showed that currently developed model was deemed valid.

The results of this research are expected to provide a practical input for manufacturing company managers in managing their innovation activities systematically and comprehensively.

The CIC model is a new comprehensive measurement model; it integrates three fundamental elements of CI capability measurement, considering all important dimensions in a company and also able to explain contextual relationships between measured factors.

This paper aims to advance understanding of the role of informal controls for governing day-to-day interactions in the execution phase of interfirm collaborations. It explores the nature of these informal controls and how they are used by the firm’s partners during this phase.

In-depth case study of a lateral relationship between a car manufacturer and its suppliers, based on interviews, observations and archival material, and using concepts from the field of psychology.

The results reveal an interfirm collaboration in which the supplier, in particular, relies on so-called informal interpersonal controls for micro-contracting and solving the control problems of its day-to-day interactions. Specifically, the study finds that the collaboration partners rely on interpersonal influence tactics for influencing behavior, coordinating the activities of the collaboration partners, and mitigating collaborative risks. Depending on the specific individual, in terms of, for example, their “mood”, and the contingencies of the explicit interaction, such as contradicting flanking contractual agreements, the actors engage in different activities, including ingratiation, pressure or rational persuasion.

This study illuminates the role of informal controls in interfirm settings by distinguishing analytically between interpersonal and interorganizational informal controls. By mobilizing the psychological concepts of interpersonal influence tactics, the extant research in this field is complemented through the illustration of how the actors use informal control mechanisms, depending on their corresponding counterpart, and the specific situation of the interaction. The findings thereby highlight the situated nature of governance, suggesting that governance between collaboration partners is not a static condition, rather an ongoing process in which the actors use, and alternate between, distinct tactics in their daily interactions.

Guided by resource-based theory, this investigation examines the extent to which knowledge sharing as part of interfirm collaboration serves as a performance-enhancing strategy; that is, in the context of assisting ethnic minority-owned urban restaurants to survive during a major market disruption. Specifically, the study features owner-managers' perceptions concerning the evolving environmental circumstances associated with the novel coronavirus (COVID-19) pandemic.

Data collection took place among owner-managers of urban restaurants in a Canadian city during the COVID-19 pandemic in late 2020. This featured semi-structured interviews with restaurants' owner-managers originating from various ethnic origins together with secondary data where possible. Data analysis followed an adapted Gioia approach.

Examples of interfirm collaboration include restaurants' owner-managers leveraging social capital and sharing knowledge about the effects of legislation and health guidelines on operating procedures, together with good and bad practices where firms have pivoted their business models via take-outs, patio dining and in-room dining. Irrespective of the strength of network ties (within and across ethnic communities), owner-managers were motivated to share information to facilitate their survival. Nevertheless, this study raises questions over the extent that certain decision-makers exhibit strategic flexibility responding to environmental conditions together with their respective ability to engage/retain customers plus service-oriented employees. In addition, a question is whether some owner-managers will continue to collaborate with their competitors after COVID-19 ends, and if so, with whom and the magnitude of activities. In particular, “trust” via psychological contracts and “complementary strategies” among partners across coethnic and different ethnic origins are key considerations.

A body of knowledge exists addressing the notions of both interfirm collaboration and market disruptions in the broader cross-disciplinary literature. However, the interfirm collaborative practices of small firms with ethnic minority ownership that are otherwise rivals remain under-researched. More specifically, interfirm collaboration as a survival strategy for owner-managers during the market disruption arising from a crisis situation features as an original contribution.

The current research considers the possibility that when firms are faced with a challenging supply chain task or opportunity for supply chain operational improvement, they choose varying degrees of technology and/or collaboration as the primary vehicle(s) with which to forge a solution. This choice is suggested herein to depend largely on technological readiness, i.e. the extent to which the firm embraces available technological solutions. Furthermore, the learning capability of the firm moderates the inverse relationship between interfirm collaboration and technological readiness, such that firms having strong organizational learning capabilities are less likely to choose a collaboration‐intensive solution than those with weak learning capabilities. This paper aims to address these issues.

A sample of retail supply chain managers drawn from the Council of Supply Chain Management Professionals membership database is surveyed related to their firms' levels of interfirm collaboration, organizational learning capabilities, and technological readiness. Two multiple moderated regression variants are used to test the hypotheses.

Results of this research support the hypothesized logic, and implications for practice are presented in light of a revealed inverse relationship between technological readiness and interfirm collaboration that is exacerbated when the firm has a strong learning orientation.

This paper is among the first known to examine potential internal/external tradeoffs between collaboration and technology as problem‐solving vehicles. Both managers and researchers should find it interesting that collaboration is neither wholly desirable nor necessary (and therefore the associated risks mitigated) in technologically ready and/or high learning capability environments.

The purpose of this paper is to help interfirm-collaborating cluster (ICC) executives examine the relevance of alternative decision rules in practical business contexts. Multi-party-implemented strategies and establishing multi-lateral collaborations are necessary actions for achieving success in new product development by small and medium enterprises (SMEs). This study explores interfirm decision-making heuristics relating to industrial ICCs.

The study examines the relevancy to decision making in ICCs of heurstics such as “fast-and-frugal decision trees” (FFDTs) and “take-the-best” (TTB) to processing possibly influential decision-making cues. The study also examines simple heuristics versus the value of a “fully rational” approach to making decisions – calculating cue values, importance weights, multiplying values by weights, summing and selecting the option having the highest summed score. This study included interviewing executives of the pivotal firm in an ICC.

This study reveals a decision-making solution for shortening the time and processes required in seeking new business collaboration partners in an ICC. This study not only develops a FFDT for six decision-making modules to quickly identify potential collaboration partners, but it also constructs a decision systems analysis (DSA) flowchart to effectively shorten the decision-making process.

This study is in accordance with the general type of industrial interfirm collaboration in Taiwan. The industrial interfirm collaboration could be further divided into the types of formal, semi-formal and informal industrial interfirm collaborations.

This study argues that firms usually find it difficult to develop their own technology because of the high costs of research and development for SMEs. Therefore, firms need to collaborate with partners to maintain their competitive advantage. However, to collaborate, firms must learn to trust their collaboration partners, and the degree of collaboration also strongly depends on the degree to which they trust their collaboration partners.

This study provides the efficient models of FFDT and DSA to quickly identify potential collaboration partners and to effectively shorten decision-making processes.