scholarly journals Two-Period Reputation Model of Knowledge Sharing between Enterprises Based on Signal Game Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Qiliang Wang ◽  
Qingquan Jiang ◽  
Hongxia Yu ◽  
Rong Fu ◽  
Changwei Mo
Keyword(s):  
Research And Development ◽  
Knowledge Sharing ◽  
Influencing Factors ◽  
Corporate Reputation ◽  
Analytical Methods ◽  
Game Analysis ◽  
Cooperative Enterprises ◽  
Reputation Model ◽  
Reputation Effects ◽  
Effective Use

Knowledge sharing between enterprises is an important way to obtain external research and development (R&D) resources and keep competitiveness. This paper used a reputation model based on a two-period signal game to explore knowledge-sharing micromechanism between enterprises and key influencing factors of enterprises. The results show that reputation effects are an important mechanism that will make knowledge sharing between enterprises operate effectively. Motivated by reputation effects, even those noncooperative enterprises continue to pretend to be cooperative enterprises for knowledge sharing before the end of the game. Finally, we adopt the analytical methods and conclusions given by the model in this article to analyze opportunistic problems in knowledge sharing among cooperative enterprises and put forward some valuable suggestions on the conditions for the effective use of corporate reputation effects.

Wiki Technology and Emergency Response

2012 ◽  
pp. 50-70
Author(s):  
Murali Raman ◽  
Terry Ryan ◽  
Murray E. Jennex ◽  
Lorne Olfman
Keyword(s):  
Knowledge Management ◽  
Action Research ◽  
Knowledge Sharing ◽  
Research Methods ◽  
Emergency Response ◽  
Management System ◽  
Knowledge Management System ◽  
Design And Implementation ◽  
Wiki Technology ◽  
Effective Use

This paper is about the design and implementation of a wiki-based knowledge management system for improving emergency response. Most organizations face difficult challenges in managing knowledge for emergency response, but it is crucial for response effectiveness that such challenges be overcome. Organizational members must share the knowledge needed to plan for emergencies. They also must be able during an emergency to access relevant plans and communicate about their responses to it. This study, which employed action research methods, suggests that wiki technology can be used to manage knowledge for emergency response. It also suggests that effective use of a knowledge management system for emergency response requires thorough training, a knowledge-sharing culture, and a good fit between emergency-response tasks and system capabilities.

Social Media

2017 ◽  
pp. 29-43
Author(s):  
Gwakisa Andindilile Kamatula
Keyword(s):  
Social Media ◽  
Knowledge Sharing ◽  
Media Technologies ◽  
Government Organizations ◽  
Business Operations ◽  
Policies And Procedures ◽  
Short Period ◽  
Social Media Tools ◽  
Use Of Social Media ◽  
Effective Use

Information sharing via social media has become stylish, fashionable and unavoidable in all walks of life to date. Through Social media tools people can share information quickly and widely within a very short period of time. From desktop research and documentary review, the chapter establishes how effective use of social media can enhance knowledge sharing within government organizations in a bid to generate new possibilities and opportunities for their efficiency in business operations. The chapter concludes by proposing issues to be considered by modern governments as they embrace the proliferation of social media technologies for effective knowledge sharing which is of vital importance for their success. It has however been emphasized on the necessity of developing and implementing social media policies and procedures.

scholarly journals Corporate R&D intensity decomposition: different data, different results?

2020 ◽  
Author(s):  
Pietro Moncada-Paternò-Castello ◽  
Sara Amoroso ◽  
Michele Cincera
Keyword(s):  
Research And Development ◽  
Analytical Methods ◽  
Innovation Policy ◽  
International Comparisons ◽  
Policy Implications ◽  
Data Sources ◽  
Empirical Results ◽  
Research And Innovation ◽  
Research And Innovation Policy ◽  
First Time

Abstract Research and Development (R&D) indicators are used to facilitate international comparisons and as targets for research and innovation policy. An example of such an indicator is R&D intensity. The decomposition of the aggregate corporate R&D intensity is able to explain the differences in R&D intensity between countries by determining whether is the result of firms’ underinvestment in R&D or of the differences across sectors. Despite its importance, the literature of corporate R&D intensity decomposition has been developed only recently. This article reviews for the first time the different methodological frameworks of corporate R&D intensity decomposition and how they are used in practice, shedding light on why sometimes empirical results seem to be contradictory. It inspects how the use of different data sources and analytical methods affect R&D intensity decomposition results, and what the analytical and policy implications are. The article also provides methodological and analytical guidance to analysts and policymakers.

scholarly journals Evolutionary Game Analysis on Knowledge-Sharing Behavior in the Construction Supply Chain

2019 ◽  
Vol 11 (19) ◽  
pp. 5319 ◽  
Author(s):  
Chanchan Hao ◽  
Qiang Du ◽  
Youdan Huang ◽  
Long Shao ◽  
Yunqing Yan
Keyword(s):  
Supply Chain ◽  
Knowledge Sharing ◽  
Evolutionary Game ◽  
The Sustainable Development ◽  
Game Analysis ◽  
Knowledge Sharing Behavior ◽  
Evolution Path ◽  
Evolutionary Trajectories ◽  
New Perspective ◽  
Sharing Behavior

With the increasingly fierce global competition, supply chain members have to collaborate to respond to constant changes. Efficient knowledge sharing is the basis for the collaborative operation of the supply chain. Combined with evolutionary game theory, this paper studies the evolution path and stable strategies of knowledge-sharing behavior between construction supply chain enterprises, analyzing the factors that influence the establishment of a knowledge-sharing alliance. A numerical simulation is conducted to verify theoretical results and the effects of parameter adjustments on behavioral evolution. The results indicate that under different income relationships, knowledge-sharing behavior in construction supply chains presents different evolutionary trajectories. In addition, the probability of accepting the sharing strategy is positively correlated with the penalty coefficient, incentive coefficient, trust level, and synergy coefficient and negatively correlated with cost. This study provides a new perspective and theoretical guidance for establishing stable knowledge collaboration between enterprises and promoting the sustainable development of the construction supply chain.

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