Search results

The purpose of this paper is to investigate the impact of two dimensions of technological relatedness, namely technological similarity and complementarity, on collaborative performance, plus the mediating role of collaboration network stickiness and the moderating role of partner expertise and geographical distance in interfirm collaboration contexts.

This study takes Chinese Scientific and Technological Achievements (STA) of inter-firm collaboration in five high-tech fields in 2010–2020 as the sample and uses OLS regression to test the hypothesis.

Technological similarity and complementarity positively affect collaborative performance. Partner expertise negatively moderates the relationship between similarity, complementarity and collaborative performance. Geographical distance positively moderates the relationship between similarity and collaborative performance while negatively moderates that between complementarity and collaborative performance. Collaboration network stickiness partly mediates the relationship between similarity and collaborative performance.

This study expands literature on inter-firm collaboration, especially research on the antecedents of collaborative performance. Moreover, this study not only compensates for lack of empirical analysis in partner selection research, but also utilizes second-hand data to enhance the objectivity of analysis. Additionally, we enrich the research on the moderating role of partner expertise and geographical distance as well as the mediating role of collaboration network stickiness.

Within the context of an open innovation business environment, the frequent interaction and coordination activities among heterogeneous partners have a significant impact on enterprises' business model. Nevertheless, fewer empirical research has been made to explore how to match external partners and update organizational dynamic capabilities at an ecosystem level. Therefore, this paper attempts not only to investigate the direct impact of partner match on different business model innovation (BMI) themes (efficiency-centered BMI and novelty-centered BMI) but only to shed light on the pivotal mediating role of interfirm dynamic capabilities.

This paper utilized the methodology of Partial Least Squares Structural Equation Modeling (PLS-SEM) to investigate the impact of diverse partner selection criteria and interfirm dynamic capabilities on two distinctive themes of BMI. More than 20 industry clusters with multiple industries were selected as representatives of the creative ecosystem, predominantly from the Yangtze River Delta region. Valid data were collected from 254 managers by both online questionnaires and offline interviews.

The findings of the study show that different partner match criteria have distinct direct impacts on BMI themes. Partner complementary and partner synergy, deriving from the “task-related criteria”, are significantly correlated with both EBMI and NBMI. Conversely, partner compatibility, deriving from “Partnering-related Criteria”, shows a positive correlation with EBMI but not NBMI. Furthermore, compare the indirect effect on EBMI, the paper’ results demonstrate interfirm dynamic capabilities as mediator can more maximize external benefits to promote NBMI.

The study findings effectively help enterprises implement different BMI themes. From a management perspective, whether pursuing EBMI or NBMI, enterprises should consciously seek partners who can provide complementary support or share mutual goals across diverse industries. This strategic approach can significantly enhance the opportunities for sustainable and innovative business development. Furthermore, to successfully accomplish NBMI, enterprises must cultivate interfirm dynamic capabilities encompassing a comprehensive range of cross-organizational innovation capacities, such as bolstering organizational learning capability, establishing interactive network platforms to enhance coordination capabilities and engaging in integrative activities to foster a collective mindset.

This paper contributes to the match theory by introducing three critical matching criteria, enabling enterprises to discern partners based on diverse organizational characteristics. Additionally, this paper broadens the scope of the dynamic capability literature by adopting a network perspective to strengthen interaction and relationship mechanisms. The authors primarily elucidate the concept of interfirm dynamic capabilities as a formative higher-order model formed by three sub-capabilities (absorptive capacity, coordination capability and collective mind). Finally, this paper combines matching theory with dynamic capacity theory to the field of BMI, which adds depth and complexity to the existing ecosystem innovation research.

This paper attempts to propose an integrated model for measuring the knowledge transfer effectiveness in university‐industry alliances. The so‐called “RDCE” model is thereby proposed as an integrated model for measuring the knowledge transfer effectiveness. By combining inter‐organizational relations (IORs), knowledge‐based view (KBV) and resource‐based view (RBV) of firms, this paper aims to focus on the influence of determinant factors such as partner complementarities, partner attributes, the characteristics of the coordination and relationship quality between industrial companies and universities that may lead to the effectiveness of knowledge transfer.

This framework thereby clarifies how mediating variables influenced the paths that constitute the direct, indirect and total effects of mediated models by integrating moderated regression analysis together with bootstrap resampling methods to ensure the precision in estimating confidence intervals of indirect effects and path analysis using structural equation models to test all the hypotheses simultaneously for the robustness of the results and conclusions.

The statistical results reveal that the proposed model has a significant mediating effect that contributes to knowledge transfer effectiveness. Only partner attributes and relationship factors have a direct impact on the effectiveness of knowledge transfer. This appears plausible since mere complementarities and coordination between partners may not lead to learning or knowledge transfer, which requires a certain depth of the partner interaction in terms of the specific attributes of partners, coordination and relationship quality.

The authors assumed that the alliance constitutes partnerships between firms of roughly equal size and market power. Therefore, this study provided only broad perspectives of collaboration among alliance partners, and did not capitalize on different degree of alliance integration and different types of collaboration.

Managerial suggestions on how to improve their knowledge transfer effectiveness are also provided at the end of the text.

There are numerous studies examining alliance network performance. Very few studies, however, have examined detailed collaborative activities in dyadic university‐industry partnerships and potential constructs for measuring knowledge transfer and commercialization in the research and development alliance between industrial firms and university context.

While co-innovation with third parties (e.g. customer or supplier) has been widely documented, the literature seems to pay scant attention on co-innovation with business partners. Building on the resource dependence theory (RDT) and the input-process-output model, the purpose of this paper is to examine how four criteria of business partner selection affect service delivery co-innovation, which, in turn, influences firms’ competitive advantage.

A mail survey was sent to 600 IT service firms in Taiwan, the target respondents being senior marketing managers in charge of collaborative new service development. A total of 120 usable questionnaires were collected, for a response rate of 20 percent.

The findings support the argument that all four criteria of business partner selection have positive relationships with service delivery co-innovation. Meanwhile, adopting these criteria, firms’ service delivery co-innovation is able to create superior competitive advantage.

The findings enrich the existing literature by proposing and empirically confirming that the use of appropriate criteria to select business partners enhances the effectiveness of firms’ service delivery co-innovation and competitive advantage.

Managers must be aware of the criteria to select their business partners, in terms of developing service delivery co-innovation.

This study adds to the service innovation literature by providing support for the RDT that partner reliability, partner complementarity, partner expertise, and partner compatibility are important business partner selection criteria to create service delivery co-innovation and achieve firms’ competitive advantage.

This paper aims to explore dynamics of post termination interaction between international joint venture (IJV) partners and empirically examines IJV level and dyad level factors that influence the choice of post IJV termination interaction as supplier, complement or competitor.

In-depth literature review is undertaken to identify IJV and dyad level that could influence the choice of post termination interaction between terminated IJV partners. Hypotheses are empirically validated using multinomial logistic regression on data collected on terminated IJV headquartered in India.

The results denote that the choice of post-IJV termination interaction between IJV partners as supplier, complement or competitor is influenced by interdependence, bargaining power, foreign partner’s purpose of IJV, complementarity and type of IJV termination.

This paper explores an under researched area in extant IJV literature that could be taken up for study by academicians. The paper upholds and strengthens the dynamic capabilities view of strategic management in IJV context.

This paper examines a practice adopted by businesses in emerging markets and determines important factors that influence the choice of interaction post IJV termination between partners. Practitioners will be encouraged to understand and plan post termination dynamics with their terminated IJV partner.

The paper undertakes examination of a practical business phenomena, i.e. interaction post termination between terminated IJV partners.

Dominance complementarity, which is the tendency for people to respond oppositely to others along the control dimension of interpersonal behavior, is a means by which people create and perpetuate informal forms of interpersonal hierarchy within social relationships (Tiedens, Unzueta, & Young, 2007b). In the present chapter, I explore the likely effects of such complementarity on group creativity. I propose specifically that expressions of dominance, even those borne not out of formal hierarchy but rather out of such factors as expertise and enthusiasm for the task, are likely to elicit submissive responses from fellow group members when the group is trying to generate creative ideas. As group members behaving submissively are likely to contribute fewer ideas to group discussion, I argue that group members who behave dominantly may, through their influence on other group members, reduce both the number and diversity of ideas generated within the group. I, therefore, propose that dominance complementarity may impair groups' abilities to generate creative ideas.

While the performance benefits of relational resources and managerial ambidexterity have been widely discussed in coopetition literature, there is only limited evidence that illustrates the underlying relationships between these relational resources and managerial ambidexterity. Against this background, this paper aims to investigate how managerial ambidexterity moderates the innovation ambidexterity effects of relational resources (i.e. reciprocal investments and complementary resources).

This study forwards various hypotheses that are grounded within the theoretical tenets of the relational view and the dynamic capabilities perspective. To test the hypotheses, this study uses survey data provided by 313 firms that pursue horizontal coopetition relationships.

The research findings offer important insights in that while reciprocal investments lead to innovation ambidexterity, complementary resources do not result in such benefits. Additionally, managerial ambidexterity complements the relational resources to develop innovation ambidexterity if and only if both managerial exploration and exploitation are applied simultaneously.

As opposed to widely-held beliefs, this study finds that firms' use of complementary resources is not likely to lead to innovation ambidexterity even though such resources can help in developing strong relationships. In addition, although often overlooked, managerial ambidexterity plays a vital role in transforming relational resources into useful innovations for firms involved in coopetition relationships. It is crucial for firms that their managers balance their ambidextrous activities of exploration and exploitation so as to develop innovation ambidexterity.

In contrast to the MDGs' top-down approach, the SDGs took the bottom-up approach of participants, creating an open space for soliciting their aspirations, efforts, creativity, and commitment. Inclusive business (IB), identified as the key means to alleviate poverty and inequality in developing countries, undeniably struggles in this space to find new ways of thinking and management to achieve a suitable balance between serving social needs and achieving business sustainability. However, multinational corporations have not yet made significant achievements, due to a biased orientation of including the poor into their system of developed countries' institutions. From a neutral position, not asking who includes or yields to whom, this research project proposes to use the concept of institutional interconnections and its various analytical factors to examine how diverse partners are interconnected to overcome institutional differences. Differences in interconnections are hypothesized to differentiate IB's socioeconomic effects and poverty alleviation.

The purpose of this paper is to explore and unbundle the complex processes underpinning development of alliance capabilities, particularly in the context of emerging country multinational enterprises. More specifically, this paper focuses on how firms internalize and translate knowledge generated from experiences gained by participating in international collaborations.

The authors adopt an exploratory case study approach to undertake in-depth processual analysis of alliance capability development in an Indian biopharmaceutical company. The authors focused their analysis on the initial four international alliances the company formed and identified key elements pertaining to alliance capabilities that the company internalized and those that it could not, as this was key in understanding alliance capability.

The research shows that based on experiences from previous alliances, the Indian organization was able to overhaul its negotiation and governance designing processes and practices as well as made robust changes to its internal communication and coordination practices. Interestingly, the company organization, however, did not make any significant changes to its processes and practices regarding partner selection.

The results from our study can be used by managers to develop processes and practices when it comes to developing alliance capabilities.

The paper is novel, as it addresses two specific gaps in the nascent alliance capability literature. First, it provides insights on how different constituent elements/aspects of alliance capability actually develop and integrate within the organizational system over time, and in the process, the paper identifies that some aspects are better internalized as compared to other aspects. Second, by focusing the attention on an Indian biopharmaceutical company, the authors attempt to address a gap in alliance capability development research, which has been neglected in emerging country multinational entities.

The study this chapter reports focuses on how network theory contributes to the understanding of the internationalization process of SMEs and measures the effect of network capability on performance in international trade and has three research objectives.

The first objective of the study relates to providing new insights into the international market development activities through the application of a network perspective. The chapter reviews the international business literature to ascertain the development of thought, the research gaps, and the shortcomings. This review shows that the network perspective is a useful and popular theoretical domain that researchers can use to understand international activities, particularly of small, high technology, resource-constrained firms.

The second research objective is to gain a deeper understanding of network capability. This chapter presents a model for the impact of network capability on international performance by building on the emerging literature on the dynamic capabilities view of the firm. The model conceptualizes network capability in terms of network characteristics, network operation, and network resources. Network characteristics comprise strong and weak ties (operationalized as foreign-market entry modes), relational capability, and the level of trust between partners. Network operation focuses on network initiation, network coordination, and network learning capabilities. Network resources comprise network human-capital resources, synergy-sensitive resources (resource combinations within the network), and information sharing within the network.

The third research objective is to determine the impact of networking capability on the international performance of SMEs. The study analyzes 11 hypotheses through structural equations modeling using LISREL. The hypotheses relate to strong and weak ties, the relative strength of strong ties over weak ties, and each of the eight remaining constructs of networking capability in the study. The research conducts a cross-sectional study by using a sample of SMEs drawn from the telecommunications industry in Ireland.

The study supports the hypothesis that strong ties are more influential on international performance than weak ties. Similarly, network coordination and human-capital resources have a positive and significant association with international performance. Strong ties, weak ties, trust, network initiation, synergy-sensitive resources, relational capability, network learning, and information sharing do not have a significant association with international performance. The results of this study are strong (R2=0.63 for performance as the outcome) and provide a number of interesting insights into the relations between collaboration or networking capability and performance.

This study provides managers and policy makers with an improved understanding of the contingent effects of networks to highlight situations where networks might have limited, zero, or even negative effects on business outcomes. The study cautions against the tendency to interpret networks as universally beneficial to business development and performance outcomes.