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In today's business environment with its fast-growing communication and information technologies, knowledge management (KM) capabilities are a valuable source of innovation. However, little is known about the KM capabilities that lead to international joint venture (JV) innovation and whether their effect depends upon the diversity of JV knowledge. We examine the impact of dependence on internal knowledge, knowledge proliferation and knowledge development control on JV innovation and how these effects are moderated by the diversity of JV knowledge. Negative binomial regression was used to test the hypotheses in a panel data of 366 international joint ventures. The findings support our prediction that knowledge proliferation and the control of knowledge development both stimulate JV innovation. This relationship is stronger in firms with a high degree of JV knowledge diversity. The results of this study can reconcile contradictory findings from previous studies by demonstrating the potential impact of KM capabilities on JV innovation. [ABSTRACT FROM AUTHOR]

This article examines the effects of joint venture's exploitative knowledge acquisition on its innovation performance under the contexts of joint venture-parent similarity in technology, industry and country. We suggest that there is an inverse U-shaped relationship between joint venture's exploitative knowledge acquisition and innovation performance. Moreover, the moderating role of joint venture-parent similarity in technology and country are recognized and are hypothesized as positively moderate the effect of exploitative knowledge acquisition on innovation performance, but industrial similarity is recognized and hypothesized as negative moderator. Negative binomial regression was used to test the hypotheses in a panel data of 183 joint venture cases and the findings support our prediction. The results of this study can help reconciling contradictory findings from previous studies by demonstrating the potential impact of exploitative knowledge acquisition on innovation performance. [ABSTRACT FROM AUTHOR]

The main objective of this study is to empirically examine the moderating effects of two distinct aspects of cooperative mode: the replication and the adaptation on two dimensions of alliance performance: innovative and financial performances. Using a quantitative analytical approach, the theoretical model and hypotheses of this study were tested based on empirical data gathered from the top 5000 Taiwanese companies listed in a yearbook published by the China Credit Information Service Incorporation in 2013. Data obtained from the 120 valid and complete survey questionnaires were analyzed using correlation coefficients and multiple linear regression. The results revealed that internal intention and involvement degree were more positively associated with alliance performance when the cooperative mode is adaptation, where as external intention was more positively related to alliance performance when replication cooperative mode were adopted. Based on the recipients' internal and external intensions, as well as involvement degree, we also constructed a strategic matrix of a cooperative mode within an inter-organizational strategic alliance. [ABSTRACT FROM AUTHOR]

Patent technology requirement evaluation and recommendation are critical for patent strategy, patent management, and patent usage in an organization. This paper proposes a patent technology evaluation and recommendation agent based on a soft-computing approach to enhance patent expansibility and technology transfer. First, we investigate the relationship between patent technology and patent owners, such as academic institutes or organizations, and integrate the collected patent data with the characteristics of organizations to establish a popular patent ontology for general academic institutes or organizations. Then, the patent's suitability for a specific organization is determined based on concepts extracted using Chinese Knowledge Information Processing. Next, we refer to the Japan Patent Office evaluation index and intellectual property quotient to describe the knowledge base and rule base of the patent quality evaluation agent by using fuzzy markup language (FML). A comprehensive patent quality evaluation mechanism is implemented, and the genetic algorithm is adopted to improve the performance of the proposed agent. Additionally, the patent requirement level evaluation mechanism infers the patent requirement level according to the basic information of an organization. Finally, we present a novel FML-based patent requirement recommendation agent to recommend a patent for an organization by considering the suitability of the patent technology for such an organization, the results of the comprehensive patent quality evaluation process, and the results of the evaluation of the demander's patent requirements. According to the results, the proposed agent is feasible for patent recommendation. In the future, we will combine an intelligent robot with the GFML agent to assist humans or organizations in recommending an appropriate patent. [ABSTRACT FROM AUTHOR]

The main objective of this study was to examine empirically the moderating effects of two forms of alliances-equity-based and contract-based-on knowledge transfer performance. Using a quantitative analytical approach, the theoretical model and hypotheses in this study were tested based on empirical data gathered from the top 5000 Taiwanese companies listed in the yearbook published by the China Credit Information Service, Inc. in 2006. Data obtained from 107 valid and complete survey questionnaires were analyzed using correlation coefficients and multiple linear regressions. The results revealed that resource similarity was more positively associated with knowledge transfer performance when the alliance form is equity-based, whereas resource utilization was more positively related to knowledge transfer performance when equity-based alliances were adopted. In addition, organizational distance was more negatively related to knowledge transfer performance for equity-based alliances than for contract-based alliances. [ABSTRACT FROM AUTHOR]