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Collaborative projects require overlapping skills and capabilities to facilitate knowledge transfer. However, not all kinds of learning are virtuous and some may lead to leakage of commercially valuable knowledge. The purpose of this paper is to explain and restrain leakage of organizational competitive knowledge in collaborative projects.

A total of 398 survey questionnaires are collected from project-based firms in Pakistan. We gathered data from horizontal and vertical collaborations. Analysis is conducted with transaction cost economics lens through Process Macro 3.0.

Findings suggest that partner’s learning intent (PLI) and distrust positively affect knowledge leakage, whereas human resource management (HRM) practices have negative effect on knowledge leakage. Furthermore, HRM practices negatively moderate the relationship between PLI and knowledge leakage and distrust positively mediates it.

This study integrates HRM with knowledge management to restrain knowledge leakage and contributes to knowledge management and strategic management. This study examines knowledge leakage in the presence of passive opportunism.

This study explains how passive opportunism translates into opportunistic behavior. Besides, effectiveness of HRM practices are least surveyed to restrain passive and active opportunisms.

Equitable risk allocation is important for the effective management of inevitable risks in International Construction Joint Venture (ICJV) projects. Previous studies have documented risks facing ICJV projects. However, there is a dearth of studies on the risk allocation preferences that take into consideration the opinions of both the local and foreign partners. This study aims to fill this gap by ascertaining the risk allocation preferences of the partners of ICJV projects for effective risk management.

Through a survey, data on risk allocation preferences were collected from both local and foreign partners of ICJV projects using a comprehensive register of 74 risks.

Following analysis, six risks were allocated to the local partner, 11 were allocated to the foreign partner, 51 risks were shared, four were allocated to a third party and two were to be negotiated based on the specific circumstances of the project. Practically, the study’s findings will help ICJV partners in drafting their ICJV contracts to adequately allocate risks and reduce contract negotiation time considerably.

The findings from this study will help partners in drafting their joint venture contract agreement and also reduce the period for contract negotiation. Knowledge of the preferred risk allocation is important in allocating risks in the contract agreement to the relevant partner for effective management.

This study, to the best knowledge of the authors, is one of the early studies to ascertain the risk allocation preferences of ICJV project partners in the Ghanaian construction industry – a departure from previous studies which focused on the identification and evaluation of risks. This study is also different from previous studies by considering the allocation preferences of both partners of the ICJV. The collection of data from both partners of the ICJV helped to consider their perceptions on risk allocation and evaluation, essentially leading to cross-cultural and optimal risk allocation preferences.

Prior research from transaction costs economics argued that central firms perform better because they have superior access to information to discipline their alliance partners. Central firms may also, however, face higher costs and risks of unintentional learning and weaken their competence through structural inertia. We propose that these costs and risks are influenced by the learning capacities of the firms in the network and can explain different outcomes for focal firm performance.

To test our predictions, we use instrumental variable–generalized method of moments estimation techniques on 15,517 firm-year observations from equity alliance portfolios in the global food industry across a 21-year window.

We find support for our predictions and show that the relationship between network degree centrality and firm performance is negatively influenced by partners’ learning capacity and positively influenced by focal firms’ learning capacity, while firms with low network degree centrality benefit less from their learning capacity.

Future developments in transaction cost economics may consider partner and focal firms’ learning capacity as moderators of the network degree centrality – firm performance relationship.

In alliance decisions, managers must consider that the combination of high network degree centrality and partners’ learning capacity can lead to high costs, risks of unintentional learning, and structural inertia, all of which have negative consequences for performance. In concentrated industries where network positions are controlled by a few large firms, policymakers must acknowledge that firms may face substantial barriers to collaboration with learning-intensive firms.

This study is the first to develop and test a comprehensive transaction cost analysis of the central firm’s unintended knowledge flows and structural inertia in alliance networks. It is also the first to incorporate theoretically and empirically the hazards of complex and unintended information flows on the relationship of network degree centrality to performance in equity alliance portfolios.

This study aims to investigate the relationship between absorptive capacity, relational capital and interorganizational relationship performance and examine the moderating effect of contractual governance on this relationship.

This study used a quantitative design, analyzing data collected through a survey questionnaire. The sampling frame consisted of 111 cross-industry, small and medium-sized manufacturers in Malaysia. The research model was analyzed using structural equation modeling.

The results show that interorganizational relationship performance is positively influenced by relational capital and absorptive capacity. While absorptive capacity has a positive effect on relational capital, this study finds empirical evidence that contractual governance weakens the effect of absorptive capacity on relational capital. Furthermore, this study also examines the hitherto under-researched moderating effect of contractual government on absorptive capacity and relational capital and their relationship with interorganizational relationship performance.

This study provides insights into the interorganizational relationship among SMEs and explains the nature of knowledge management in this context. This study shows the potential role of absorptive capacity in building close cross-border interorganizational relationships.

This study assesses how the transactive memory systems (TMS) framework extends to cross-organizational ties. This research also treats TMS dimensions (i.e. knowledge specialization, coordination and trust) as distinct variables, each with unique contributions toward innovation.

This study used a survey to collect data. Out of the 140 Fintech firms registered with OJK in Indonesia in 2021, 101 firms responded to the invitation to participate in the survey. Structural equation modeling was used to analyze the data.

The authors find evidence that collaborating with partners displaying high knowledge specialization leads to radical innovation, while low knowledge specialization collaborations lead to incremental innovation. Both relationships are moderated by the level of coordination and trust between collaborating partners, underlining the impact of TMS on the cross-organizational collaboration aspect. Finally, while incremental innovation leads to higher performance, radical innovation does not enhance performance in the short term.

This study explains how Fintech peer-to-peer lending firms' proficiency in pursuing innovation depends on their liaison with the collaborative partners.

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.

To help alleviate the immense suffering caused by humanitarian crises worldwide, organisations are forming relationships for effective coordination and resource sharing. However, organisations can struggle to build trust because of the uncertain context, varying institutional mandates and socio-cultural differences. Thus, this paper aims to better understand how humanitarian groups can leverage formal mechanisms to produce greater trust.

This paper adopts a logical–positivist research paradigm to formulate and test its hypotheses. This paper answered this study’s research question using structural equation modelling from survey data of 180 humanitarian managers.

In inter-organisational humanitarian relationships, formal mechanisms indirectly foster trust through two mediators: distributive justice and information sharing.

This research presents the perspective of only one partner in inter-organisational relationships. Moreover, the operationalisations of formal mechanisms and trust were not comprehensive (i.e. only contracts and integrity-based trust, respectively).

To the best of the author’s knowledge, this research is a first attempt to empirically link the widely discussed idea of formal mechanisms, distributive justice, information sharing and trust in inter-organisational humanitarian relationships. Further, this research is the first attempt to present and empirically validate a theoretical model that addresses how formal mechanisms foster trust in inter-organisational relationships.

The purpose of this paper is to determine how knowledge distance, which encompasses cognitive and geographic distance, influences efficiency-centered and novelty-centered business model reconfiguration (BMR), and the moderating role of tie strength.

The authors analyze a sample of 132 Tunisian incumbent firms by multiple hierarchical regressions.

First, the effect of knowledge distance on novelty-centered BMR may differ depending on whether the firm introduces novelty within or outside its organizational boundaries. Specifically, the authors introduce two new types of novelty-centered BMR: intra-novelty and extra-novelty, which respectively take into account whether the reconfigured activities are governed within or outside the focal firm’s boundaries. Second, cognitive distance has an inverted U-shaped effect on efficiency-centered and intra-novelty-centered BMR. Third, tie strength has a moderating role, with varying effects depending on the type of BMR pursued.

This study provides guidance for managers on structuring alliances and collaborations when pursuing BMR. It provides recommendations on partner characteristics, as well as relationship tie strength, that are most beneficial for different types of BMR.

This paper answers the call for research on how knowledge obtained from distant sources can contribute to BMR. Additionally, the paper introduces a previously absent distinction in the BMR literature. The findings suggest that studying the antecedents of BMR should not be limited to the level of design themes but also encompass the level of design elements such as governance.

To adapt to the rapidly changing market environment, firms must constantly adjust and change their knowledge base to develop new technologies. The purpose of this paper is to analyze the improvement path of firms’ breakthrough innovation from the perspective of knowledge recombination in the context of dynamic change in the knowledge base. By analyzing the influencing mechanism of environmental dynamism on the relationship between the two, this paper provides a theoretical foundation for managers to make knowledge recombination decisions under a dynamic external environment while further enriching the firm’s innovation achievements.

Using data from 220 manufacturing firms listed on the Shanghai and Shenzhen A-share stock from 2010 to 2018, an extensive panel data set was constructed to investigate the effect of knowledge recombination, which was divided into recombination creation and recombination reuse, on firms’ breakthrough innovation. In addition, the authors differentiated environmental dynamism as market dynamism and technological dynamism and then examined its moderating role in the above relationships.

The research results show that various recombination behaviors of knowledge elements have a differentiated effect on firms’ breakthrough innovation presented as follows: Knowledge recombination creation is significantly positively correlated with firms’ breakthrough innovation, while knowledge recombination reuse is significantly negatively correlated with firms’ breakthrough innovation. In addition, environmental dynamism has a considerable moderating effect between knowledge recombination and firms’ breakthrough innovation further, emphasizing that the moderating effect on different types of knowledge recombination behaviors is significantly distinct.

First, given that this study refers to several Chinese noted databases to collect second-hand data for empirical analysis, future research could use first-hand data by collecting questionnaire survey and interview to provide a more practical and detailed research conclusion. Second, the authors focused on the contextual variable to explore the moderating role of environmental dynamism on the relationship between knowledge recombination and breakthrough innovation. Nevertheless, the indirect effects of other internal factors were not discussed. The authors advocate future studies to involve other moderators from employee social and phycological perspectives, such as trust in colleagues in the proposed theoretical models in this study.

This study is conducive for managers to attach great attention to knowledge management practices in the firm and to understand the critical role of knowledge recombination in affecting innovation performance under dynamic environmental changes. Moreover, this study provides practical guidance and serves as a reference for firms to strengthen their knowledge recombination ability as full utilization of existing knowledge elements and exploration of new knowledge values.

Primarily, from the perspective of dynamic changes in the knowledge base, this paper explores how the knowledge recombination behaviors affect firms’ breakthrough innovation, thereby enriching and extending the relationship theory between knowledge recombination capabilities and breakthrough innovation, while new and valuable ideas are provided in the study of issues related to the firms’ breakthrough innovation; Moreover, this study analyzes the moderating effects of diverse types of environmental dynamism on the relationship between knowledge recombination and firms’ breakthrough innovation from a multi-dimensional perspective proposing that the moderating effects of environmental dynamism on different knowledge recombination behaviors are distinct.

Drawing on the literature on technological acquisition and the knowledge-based view , this study examines how technological overlap between acquiring and target firms influences acquisition premiums. We further explore how the resulting synergies are contingent on the dynamic characteristics of the target firm, specifically its technology clockspeed and industry munificence. Technology clockspeed indicates the pace of technological evolution, reflecting internal dynamic resources, while industry munificence represents the abundance of external resources. These boundary conditions illustrate the dynamics of synergies, explaining their moderation effects on acquisition premiums.

We analyze a sample of 369 technological acquisitions by publicly traded U.S. firms between 1990 and 2011. To test our hypotheses, we used the ordinary least squares regression model with robust standard errors clustered by acquiring firms. In the robustness checks, we applied the generalized estimating equations to account for non-independent observations in our sample and verified that the results were robust to an alternative two-way clustering approach.

We suggest that a low level of technological overlap between an acquiring firm and its target firm leads the acquiring firm to offer a high acquisition premium because of the expected synergistic potential that evolves from combining two distant technological bases. We further find that this effect is contingent on the target firm's technology clockspeed and industry munificence. Specifically, the negative effect is amplified when target firms exhibit a rapid pace of technological evolution, whereas it is weakened when target firms operate in highly munificent industries characterized by robust growth and abundant resource flows.

This study has several limitations, but it offers opportunities for future research. First, our sample is limited to domestic acquisitions between U.S. publicly traded firms, which may restrict generalizability. Cross-border acquisitions could reveal different dynamics, as technology leakage and national security concerns might make technological overlap a more sensitive factor. Additionally, private firms were not included, and their distinct strategic considerations could provide further insights. Future research could explore post-acquisition data to validate these synergies and expand the scope to include international contexts and private firms for a comprehensive analysis.

Our findings highlight important implications for managers in technology sector acquisitions. This study underscores the need for a thorough evaluation of target firms to avoid misjudging synergies. Low technological overlap can heighten expectations for value creation, making it crucial for executives to accurately assess potential synergies to prevent overestimation. Managers should consider both internal resources and external industry conditions when evaluating synergies. Ultimately, these insights help managers offer informed prices that reflect true strategic synergies, adopting effective valuation practices to mitigate risks of financial overpayments and poor post-merger performance.

The social implications of our findings emphasize the broader impact of acquisition decisions on innovation and competition within the technology sector. By ensuring accurate valuation and avoiding overpayment, companies can allocate resources more efficiently, fostering sustainable growth and innovation. This diligent approach can reduce the risk of corporate failures.

This study makes two key theoretical contributions. First, it identifies technological overlap as a critical determinant of acquisition premiums in technological acquisitions, addressing gaps in the literature that focused on CEO characteristics and managerial attention. Second, it expands the theoretical framework by highlighting the dynamic nature of synergies, influenced by the target firm's technology clockspeed and industry munificence. By integrating both acquiring and target firm characteristics, this study provides a relational perspective on value creation, explaining why firms pay high premiums and offering a more comprehensive understanding of the strategic motivations in technological acquisitions.