Reconciling the Dilemma of Knowledge Sharing: A Network Pluralism Framework of Firms’ R&amp;D Alliance Network and Innovation Performance

Zhang, Jiamin; Jiang, Han; Wu, Rui; Li, Jizhen

doi:10.1177/0149206318761575

Cited by 88 publications

(116 citation statements)

References 143 publications

(179 reference statements)

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“…Innovation management represents a complex of activities connected with the initiation of changes up to their application [2]. At the same time other emphasize that innovation management should be accompanied by building an organization that can learn and innovates [7][8][9][10][11][12]. Given the crucial role of innovation in business, new strategies, approaches, or models are emerging to support the management of innovation activities.…”

Section: The Contemporary State Of Knowledge In Literaturementioning

confidence: 99%

Evaluation of innovation activities and innovation management model of selected innovative companies

2020

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The company’s success lies in understanding its situation and the differences in its own business and in creating original, and functioning innovation management system. The main task of the owner and management of the company is to create conditions for the creativity of its employees through the created method of providing financial resources and systematic creation of the research team. Innovation and its successful management and implementation helps to overcome the challenges of globalization. The paper aims to evaluate innovation activities, especially concerning the type of implemented innovation activities, initiator, way of development, obstacles, and type of protection of intellectual property. At the same time, the evaluation of innovation activity management is carried out according to the model of Wolcott and Lippitz (2007), which takes into account two parameters, namely the power of authority and organizational responsibility. Data on innovation activities of enterprises are obtained through a proper questionnaire survey carried out by selected innovative companies. The results of the questionnaire survey are evaluated using the IBM SPSS Statistics 21 statistical program. Cluster analysis is also used to identify categories of innovative enterprises.

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Section: The Contemporary State Of Knowledge In Literaturementioning

confidence: 99%

Evaluation of innovation activities and innovation management model of selected innovative companies

2020

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“…According to the content and evolution characteristics of interorganizational learning, the evolution content of interorganizational learning is the process of clarification, sharing, and internalization of relevant knowledge into another organization based on the perspective of system view. From different perspectives, scholars put forward many factors that affect the effectiveness of inter-organizational learning [40][41][42][43][44]. Zhu et al [40] proposed that there are four main factors affecting the effectiveness of interorganizational learning, namely, culture, structure, technology, and absorptive capacity.…”

Section: Criteria Framework For the Evaluation Of Enterprise Learningmentioning

confidence: 99%

“…Among them, absorptive capacity is the basis of technical learning in an organization, and shared knowledge links at any level are conducive to the dissemination of absorptive capacity elements. Zhang et al [41] thought that the factors affecting the success of alliance learning can be divided into three categories: the availability of alliance knowledge, the effectiveness of knowledge acquisition, and the learning connection based on the availability of alliance knowledge and the effectiveness of knowledge acquisition. Yayavaram et al [42] thought that the key elements of organizational learning are interaction between partners, high learning goals, trust, and long-term goal orientation.…”

Section: Criteria Framework For the Evaluation Of Enterprise Learningmentioning

confidence: 99%

“…These studies found that learning objectives, tasks, environments, and knowledge sharing about skills and processes are key process factors in interorganizational learning. However, knowledge exists in the specific organizational path of partnership enterprises, which has the characteristics of tacit and embedded [40][41][42]. Therefore, it is necessary to set reasonable learning objectives and arrange appropriate learning tasks and activities under appropriate circumstances, so as to complete the transfer and accumulation of knowledge.…”

Section: Criteria Framework For the Evaluation Of Enterprise Learningmentioning

confidence: 99%

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Evaluation of Enterprise Learning Performance in the Process of Cooperation Innovation Using Heronian Mean Operator

Yin

2019

Mathematical Problems in Engineering

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In order to clarify the achievement and efficiency of enterprise learning in the process of cooperative innovation, a comprehensive criteria framework for the evaluation of enterprise learning performance is constructed taking the learning process and learning results as the construction idea based on organizational learning theory. And this paper proposes a novel dynamic evaluation method considering the interaction between attributes of learning performance. In this study, the criterion framework for the evaluation of enterprise learning performance in the process of cooperative innovation includes learning process performance and learning outcomes performance. The original matrices are given by managers and experts using fuzzy set theory, and a dynamic time sequence weight vector is calculated based on information entropy and time degree. The weight of learning performance attributes under different time series is calculated based on entropy measure method. The interactive information of learning performance attributes is integrated through the weight of learning performance attributes and the three-parameter weighted Heronian mean operator considering the interaction between attributes. And then, the dynamic and comprehensive evaluation result of learning performance in the process of cooperative innovation could be computed by integrating the learning performance information under different time series with time sequence weight vector. Finally, a real case is studied to verify the scientificity and validity of the criteria framework for the evaluation of enterprise learning performance and the method proposed in this study. This study not only helps cooperative enterprises get feedback in time and adjust cooperative relationships and learning styles but also enriches the theory of interorganizational management and provides a theoretical basis for the process of enterprise cooperative innovation.

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“…To maintain competitiveness and achieve sustainable growth, companies must constantly absorb existing knowledge and create new knowledge through knowledge sharing behavior [14]. Following this, how to facilitate efficient and sustainable knowledge sharing [15] to promote the evolution and stability of cluster innovation network has become one core problem in innovation management.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Evolution of Knowledge Sharing Behavior among Enterprises in the Cluster Innovation Network Based on Evolutionary Game Theory

Kong

Zhu

2019

Sustainability

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Knowledge sharing behavior based on the cluster innovation network has become the primary measure for enterprises to realize sustainable innovation. In order to promote the proactive knowledge sharing behavior among enterprises in the long term, the dynamic evolutionary process and law of knowledge sharing in the network need to be further studied. As different from the hypothesis of the rational man in the classical game theory, this paper establishes an evolutionary game model of knowledge sharing behavior in the cluster innovation network based on the evolutionary game theory, and discusses how the bounded rational enterprises can achieve the evolutionary equilibrium through continuously adaptive learning and strategy optimization, further explores the influence factors on the evolutionary trajectory. Combined with mathematical derivation and simulation analysis, the following results are obtained: over time, the dynamic evolution of knowledge sharing behavior in the cluster innovation network is influenced by initial states of the system, but can always reach the evolutionary stable equilibrium; factors such as synergy revenue have a positive impact on the evolutionary results, while factors such as opportunity interest have a negative impact on the evolutionary results; the factor of revenue distribution has a U-shape relationship with the evolutionary results, and the factor of direct revenue has no effect on the results. The results are expected to have an implication for improving the sustainable innovation development of enterprises in the cluster innovation network.

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Reconciling the Dilemma of Knowledge Sharing: A Network Pluralism Framework of Firms’ R&D Alliance Network and Innovation Performance

Cited by 88 publications

References 143 publications

Evaluation of innovation activities and innovation management model of selected innovative companies

Evaluation of innovation activities and innovation management model of selected innovative companies

Evaluation of Enterprise Learning Performance in the Process of Cooperation Innovation Using Heronian Mean Operator

Dynamic Evolution of Knowledge Sharing Behavior among Enterprises in the Cluster Innovation Network Based on Evolutionary Game Theory

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