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The purpose of this paper is to solve the problem of low efficiency on knowledge resources allocation in the strategic emerging industry (SEI), an incentive model of technology innovation based on knowledge ecological coupling is designed.

First, a principal–agent model of knowledge inputs and a knowledge ecological coupling model based on an improved Lotka–Volterra model are constructed. In addition, a numerical example about Chongqing Yongchuan industrial park, the emulation analysis and the associated discussions are conducted to analyze the equilibriums of principal–agent in different knowledge inputs. Further, the paper analyzes the evolutionary equilibrium in knowledge ecological coupling and reveals the dual adjustments of the node organization on knowledge inputs.

Thus, this paper shows that by establishing the relationships of knowledge ecological coupling based on “mutualism and commensalism,” node organization raises the level of knowledge inputs; an incentive mode of “knowledge ecological coupling relationship + technology innovation chain” is conductive to substantially improving the efficiency of knowledge resource allocation, and to stimulate the vitality of node organization for technology innovation in the strategic emerging industry (SEI).

This paper contributes to the extant researches in two ways. First, this paper reveals the dual adjustments of the node organizations in inputting knowledge, which broadens the vision and borders of the researches on traditional knowledge management. The methods of the traditional principal–agent model and the knowledge input/output profit model are also expanded. Second, this paper verifies that applying the mode of “knowledge ecological coupling relationship + technology innovation chain” in practice is conducive to enhancing the efficiency of the cross-organizational knowledge allocation in the strategic emerging industry (SEI).

Collaborative research and development have remained a pertinent mechanism for conducting technological innovations. With the lens of knowledge-based view (KBV), this study aims to examine the role of changes in knowledge couplings and network cohesion to elevate innovation performance.

Data analysis has been performed on 53,459 patents through regression analysis with random effects. These independent and joint patents are extracted from Derwent Innovation Database.

Findings explicate that change in external existing or existing and new knowledge couplings have inverted U-shaped effects on a firm’s innovation performance. Changes in internal existing or existing and new knowledge couplings have direct positive effects on firm’s innovation performance. The moderation effect of network cohesion flattens the inverted U-shaped effect of external new and existing knowledge coupling, whereas it has no significant effect on external existing knowledge coupling. Network cohesion further elevates the effects of internal knowledge couplings – existing or existing and new.

This study theoretically contributes to KBV and innovation management literature by highlighting the scope of changes in internal and external knowledge couplings and subsequent output. Network cohesion flattens the curviness of changes in external new and existing knowledge couplings, which is a contribution to strategic management literature.

Organizations need to carefully manage changes in knowledge couplings and ensure their benefits (obtain new knowledge domain or new combination) outweigh liabilities (damages to organizational routines or increase in collaboration costs). Managers must consider four kinds of knowledge coupling changes along with developing network cohesion as an R&D strategy.

This study is one of its types to flatten the curve through network cohesion. This study divided the changes in knowledge coupling into four types and two dimensions; external existing and new and existing knowledge couplings and internal existing and new and existing knowledge couplings.

The purpose of this paper is to build a System Dynamics model to reveal the structure and dynamics of knowledge coupling affecting firms' innovation results in the digital context.

Drawing on the recombined view of innovation, this paper divides knowledge coupling into two dimensions: component knowledge coupling and architectural knowledge coupling. Then, the authors build a system dynamics model to identify the interaction of knowledge coupling factors and use the professional Vensim PLE to conduct simulation analysis to capture the dynamic interaction of motivation factors in knowledge coupling system.

The results show that both technology resources and digital dynamic capability play positive effects in the mechanism of knowledge coupling influencing firms' innovation results, while organizational inertia negatively affects the process of knowledge coupling to achieve innovation outcomes.

This study develops a holistic system dynamics model to reveal and elaborate on the complex dynamic mechanism of knowledge coupling impacting firms' innovation results in the context of digitization and provides a theoretical reference for companies to effectively adopt digital technology to carry out knowledge coupling strategy.

Previous studies have addressed the importance of knowledge base and its effect on innovation outputs. However, few studies have focused on the antecedents of dynamic changes of the organizational knowledge base. This study aims to shed light on the antecedents of dynamic change of the organizational knowledge base by examining how network centrality in an organization's collaboration network impacts this change and the moderating role of knowledge network cohesion.

The empirical setting of this study is the smartphone collaboration network. The authors selected patent data from the Derwent Innovation Database. A negative binomial model was used to test the hypotheses.

The results verified that network centrality has a positive effect on the change in coupling among existing knowledge domains and has an inverted U-shaped relationship with the coupling between new and existing knowledge domains. Furthermore, when local cohesion is high, network centrality has a stronger positive effect on the change in coupling among existing knowledge domains. Global cohesion moderates this process in such a way that when it is at a high level, the coupling between new and existing knowledge domains can benefit more from a moderate level of network centrality.

This study sheds light on the antecedents of dynamic change of the organizational knowledge base and links the literature on collaboration and knowledge networks by providing novel insights to match collaboration network centrality with knowledge network cohesion for successful improvement of the organizational knowledge base.

The knowledge of inhibitors of internal customer knowledge transfer in b‐to‐b professional service organizations is still in its infancy. Previous literature on professional service organizations has focused on knowledge processes on a general level without paying closer attention to inhibitors of internal knowledge transfer. This study aims to contribute by increasing the knowledge of various inhibitors of customer‐related knowledge transfer and their influence on customer‐related knowledge utilization in collaborative customer relationships.

The present empirical article is based on a case study of two professional service organizations in the field of business‐to‐business education and consultancy services. An in‐depth analysis of organizations developing collaborative relationships was conducted.

This paper shows that internal fragmentation seems to be inherent in this type of organization, and may cause many problems in customer‐related knowledge transfer among individuals, collegial groups and hierarchical levels in a professional service organization. All these problems in collective knowledge utilization influence both the service offering creation and general relationship coordination in the collaborative relationship.

This paper provides managerial suggestions for how to deal with the inhibitors of customer knowledge transfer. This includes developing unified goals, strengthening cultural cohesion and cooperation in the organization, building forums of dialogue between individuals and subgroups, and structuring relationship coordination systems (i.e. key account management systems), keeping customer‐related knowledge transfer in mind.

Post-merger integration (PMI) is driven by coevolving processes. By integrating the literature on acquisitions with that of knowledge networks, this paper highlights different reconstruction mechanisms for dual knowledge networks during PMI – namely, internal knowledge network coupling and external knowledge network embeddedness. This paper aims to examine their coevolutionary relationships with PMI.

A coevolutionary framework is tested using a latent growth model and cross-lagged models. The analysis is based on longitudinal data collected from 116 Chinese technology-sourcing overseas merger and acquisition firms.

This paper unearths a novel idea that variations in post-merger reconstruction of dual knowledge networks can explain why some acquirers increase the degree of integration faster than the others. The results show that the internal knowledge network coupling leads to more knowledge similarity and, in turn, causes a higher degree of integration. The external knowledge network embeddedness also causes higher relative network status of the acquirer, which consequently leads to a higher degree of integration. Furthermore, results from cross-lagged models confirm that an increase in the degree of integration positively influences subsequent changes in the internal knowledge network coupling and external knowledge network embeddedness, thus forming a coevolutionary relationship over time.

This paper responds to recent calls for more insights into the dynamics of PMI. By highlighting different reconstruction mechanisms for internal and external knowledge networks during PMI, this paper explains why it is important to understand PMI dynamics from a dual knowledge network perspective. This paper is the first to adopt a coevolutionary perspective and provide a more comprehensive dynamic framework between PMI and reconstruction of dual knowledge networks. Besides, this paper contributes to the research on emerging market multinational corporations’ cross-border merger and acquisition integration from a dynamic perspective, revealing the time effects of traditionally favored light-touch integration.

The purpose of this paper is to explore the relationship between effective knowledge management and corporate performance, to explore the dynamic symbiosis phenomenon of effective knowledge management based on organizational ecology with multinational companies (MNCs) and non-multinational companies (non-MNCs) and to explore the symbiosis strategy of knowledge management between multinational and non-multinational companies (non-MNCs) in China.

To measure effective knowledge management, this paper first uses structural equation model to measure knowledge management, based on the evolution dynamics equation in organizational ecology to measure the effectiveness of knowledge management, and studies the symbiosis of effective knowledge management between MNCs and non-MNCs based on ecological perspective.

Effective knowledge management can promote the financial performance of enterprises, but different degrees of effectiveness have different effects. In addition, the coupling and collaboration between knowledge management and corporate performance can reflect the value of effective knowledge management. The results show that effective knowledge management plays a positive moderating effect between knowledge management and corporate performance. Finally, the effective knowledge management system of MNCs (non-MNCs) has negative effect on non-MNCs (MNCs), showing the exclusive relationship between MNCs and non-MNCs in China.

The effectiveness of knowledge management is only based on the measurement of financial performance coupling. For other types of performance, it needs to be tested. The samples may not cover symbiosis relationship of effective knowledge management in other countries.

This paper provides practical and theoretical reference for confirming the symbiotic interaction and identifying the opportunities and challenges of knowledge management among different types of corporation groups.

The paper is one of the pioneering studies to explore the pattern of symbiotic evolution of effective knowledge management between MNCs and non-MNCs. From completely new perspectives, this study advances the research of knowledge management to a new and promising area.

The paper proposes a model aiming at the explanation of the formation of coordinative knowledge practices in distributed work. Findings from a pilot study aiming at the preliminary testing of the model are presented and discussed.

The explanatory model was developed by combining concepts and findings developed in studies of social capital, knowledge sharing and computer supported cooperative work. The empirical data were gathered in 2007‐2008 in a multi‐unit Finnish chemical company production site. The methods used were structured observation of work processes, semi‐structured interviews and a web‐based questionnaire.

The model suggested that coordinative knowledge practices are shaped by four major factors: work coupling, social capital, spatio‐temporality and affordances of collaboration technologies. The empirical study showed that these concepts can be successfully applied in empirical research to better understand and support the development of coordinative knowledge practices.

The findings can be utilized in the analysis and assessment of coordinative knowledge practices between distributed work groups in multi‐unit organizations. The findings can also be used in the development of solutions for knowledge sharing and communication in distributed work organizations and communities.

The model developed provides a novel perspective for the study of knowledge practices in the context of distributed group work. The model proposes that varying degrees in work coupling intensity, social capital, spatio‐temporality and affordances of collaborative technologies explain the emergence of coordinative knowledge practices. The study shows how coordinative knowledge practices can be studied empirically. The empirical study resulted in a typology of coordinative knowledge practices.

The purpose of this research is to study the ad hoc problem of developing capabilities for knowledge transfer between various constituencies of an enterprise resource planning (ERP) implementation project. The paper studies how an ERP project develops ability to network, link, and integrate its various knowledge resources over time.

The paper conducted a case study of an ERP project, from its initiation in 2008 to its completion in 2011.

The case demonstrates the dynamics of development of knowledge transfer capacities through ad hoc problem solving. The paper identifies five mechanisms used in this case for the development of knowledge transfer capacities.

Ad hoc problem solving mechanisms demonstrated in this paper can be intentionally planned and utilized in similar projects to enable interaction, integration, and institutionalization.

Even though ad hoc problem solving as a model for change is prevalent in many organizations, studies of ad hoc problem solving capabilities as a mechanism for change are not extensive. This case describes ad hoc mechanisms that foster change and development of knowledge transfer capacities during large IT project implementations.

To investigate the relationship between technological diversification and firm performance as a function of varying levels of technological coupling and internal technological change.

A longitudinal study of US-based bio-pharmaceutical companies.

Technological diversification improves invention performance. However, high levels of technological coupling reduce this effect.

Firms with highly diversified technological portfolios should strive to keep their technologies at low levels of technological coupling.

This is the first study to show that technological coupling reduces the positive effect of technological diversification on firms' invention performance.