scholarly journals Modeling and Analysis of Interorganizational Knowledge Transfer Considering Reputation Mechanisms

2021 ◽  
Vol 13 (24) ◽  
pp. 14020
Author(s):  
Xiaoxia Huang ◽  
Peng Guo ◽  
Xiaonan Wang ◽  
Ding Wang
Keyword(s):  
Knowledge Transfer ◽  
Evolutionary Game ◽  
Sustainable Competitive Advantage ◽  
Interorganizational Network ◽  
Simulation Research ◽  
Modeling And Analysis ◽  
Efficiency And Effectiveness ◽  
Reputation Mechanisms ◽  
Knowledge Agents ◽  
The Impact

Transferring a quantity of credible knowledge is a key sustainable competitive advantage for multi-agent cooperation in an interorganizational network (ION). This study presents simulation research to identify the impacts of reputation mechanisms in interorganizational knowledge transfer through systematic evolutionary game theory, addressing the sustainability of knowledge transfer behaviors in innovation, R&D, and low green carbon. The simulation results showed that an agent’s reputation provides information about having valuable knowledge, which can reduce some of the opportunistic behaviors of knowledge transfer faced by knowledge agents. Regardless of its form, we found that reputation distribution significantly promotes interorganizational knowledge transfer behaviors. In addition, higher reputation thresholds and more significant differences in the impact of high and low reputations prominently contribute to knowledge transfer efficiency and effectiveness. The relationship between reputation mechanisms and the efficiency and effectiveness of knowledge transfer is examined. This study sheds light on the sustainable management of interorganizational projects from reputation mechanisms.

An agent-based model for exploring the impacts of reciprocal trust on knowledge transfer within an organization

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hong Li ◽  
Changhong Li ◽  
Zhan Wang
Keyword(s):  
Knowledge Transfer ◽  
Organizational Structure ◽  
Transfer Of Knowledge ◽  
Sustainable Competitive Advantage ◽  
Content Type ◽  
Agent Based ◽  
Transfer Behavior ◽  
Motivation To Transfer ◽  
Effective Transfer ◽  
The Impact

Purpose The effective transfer of knowledge within an organization is critical for its sustainable competitive advantage. Based on the norm of reciprocity, it can be concluded that individuals’ primary motivation to transfer their treasured knowledge can be summarized as “trust,” that is, the individuals trust their selfless transfer behavior can be reciprocated by the recipients in the future. Design/methodology/approach In this study, a simulation model based on knowledge transfer behavior and reciprocal trust between individuals is built through agent-based modeling and simulation to investigate the factors that influence the efficiency of knowledge transfer within an organization. Findings Experiments are performed to test the impact of reciprocal trust and organizational structure on the efficiency of knowledge transfer. Originality/value The results indicate a significant role of key elements of reciprocal trust and organizational structure, which provides relevant practical guidance for both individuals and organization managers in the context of knowledge transfer.

IC & OI The impact of intellectual capital on organizational innovation

2020 ◽  
Vol 6 (7) ◽  
pp. 1257-1265
Author(s):  
Fouad El-Gamal
Keyword(s):  
Intellectual Capital ◽  
Middle Managers ◽  
Organizational Innovation ◽  
Sustainable Competitive Advantage ◽  
Dominant Dimension ◽  
Structural Capital ◽  
Corporate Innovation ◽  
Research Findings ◽  
The Impact ◽  
Depth Interviews

Intellectual capital can generate value for organizations and improve organizational innovation. This study aims to investigate the effects of intellectual capital on corporate innovation. Mixed research methodology approach has been used by combining both qualitative and quantitative analysis to explore and empirical examine the research model. The targeted population of interest is the licensed pharmaceutical manufactures, 90 organizations in the Egyptian pharmaceutical industry throughout its three main sectors (11 public, 70 local private and 9 MNCs). Statistical analyses are employed based on the questionnaires gathered from 39 pharmaceutical manufactures’ companies (44% response rate). In addition, sixty-three “63” in depth interviews have been conducted with both top and middle managers. The research findings indicate that all dimensions of intellectual capital (human, structural, and relational capital) have positive significant effects on organizational innovation of pharmaceutical manufactures’ companies. The study clarifies that the most dominant dimension is structural capital, which provides the largest and strongest support to pharmaceutical manufactures’ companies. The deep realization of the importance intellectual capital and its impact on innovation helps leaders to adopt accurate system to run organizational innovation in a better way, which lead to sustainable competitive advantage for organizations.

scholarly journals The Impact of Dynamic Capabilities on Sustainable Competitive Advantage in the Pharmaceutical Sector in Egypt

2017 ◽  
Vol 6 (2) ◽  
pp. 1
Author(s):  
Albert Naiem Naguib ◽  
Eahab Elsaid ◽  
Abdel Moneim Elsaid
Keyword(s):  
Competitive Advantage ◽  
Dynamic Capabilities ◽  
Secondary Data ◽  
Primary Data ◽  
Sustainable Competitive Advantage ◽  
Firm Characteristics ◽  
Pharmaceutical Sector ◽  
Chi Square ◽  
Pharmaceutical Firms ◽  
The Impact

This study examines the relationship between dynamic capabilities (experience, routine, skills, firm characteristics, knowledge and technology) and competitive advantage sustainability in the Egyptian pharmaceutical sector. The data was collected using primary and secondary data sources. Primary data was collected from questionnaires distributed to 160 top managers in 20 pharmaceutical firms. The secondary data about pharmaceutical firms like rankings, revenues and market share was collected from external sources such as Intercontinental Marketing Service (IMS). The questionnaires examine six independent variables based on a five-scale Likert scale. The methodology used in the study is non-probability sampling (judgmental sampling), Cronbach’s alpha reliability coefficient and Chi-square tests. The results support the notion that there is a significant relationship between four of the six dynamic capabilities (experience, skills, firm characteristics and knowledge) and the competitive advantage sustainability for pharmaceutical firms in Egypt. Designing the questionnaire and formulating the questions to target the required field was challenging, given that the topic is dynamic and the business scene in Egypt has witnessed drastic political changes since January 2011. The study should assist pharmaceutical companies in Egypt in directing their investments properly and in determining the weaknesses in their dynamic capabilities that need to be addressed.

scholarly journals A Study of Taxi Service Mode Choice Based on Evolutionary Game Theory

2019 ◽  
Vol 2019 ◽  
pp. 1-17
Author(s):  
Zhu Bai ◽  
Mingxia Huang ◽  
Shuai Bian ◽  
Huandong Wu
Keyword(s):  
Game Theory ◽  
Evolutionary Game Theory ◽  
Mode Choice ◽  
Evolutionary Game ◽  
Payoff Matrix ◽  
Game Model ◽  
Stable States ◽  
Taxi Service ◽  
Service Mode ◽  
The Impact

The emergence of online car-hailing service provides an innovative approach to vehicle booking but has negatively influenced the taxi industry in China. This paper modeled taxi service mode choice based on evolutionary game theory (EGT). The modes included the dispatching and online car-hailing modes. We constructed an EGT framework, including determining the strategies and the payoff matrix. We introduced different behaviors, including taxi company management, driver operation, and passenger choice. This allowed us to model the impact of these behaviors on the evolving process of service mode choice. The results show that adjustments in taxi company, driver, and passenger behaviors impact the evolutionary path and convergence speed of our evolutionary game model. However, it also reveals that, regardless of adjustments, the stable states in the game model remain unchanged. The conclusion provides a basis for studying taxi system operation and management.

scholarly journals System Dynamics Model for the Evolutionary Behaviour of Government Enterprises and Consumers in China’s New Energy Vehicle Market

2020 ◽  
Vol 12 (4) ◽  
pp. 1578 ◽  
Author(s):  
Hongxia Sun ◽  
Yao Wan ◽  
Huirong Lv
Keyword(s):  
System Dynamics ◽  
Motor Vehicle ◽  
Replicator Dynamics ◽  
Evolutionary Game ◽  
Practical Significance ◽  
Subsidy Policy ◽  
New Energy ◽  
New Energy Vehicle ◽  
The Impact ◽  
Vehicle Market

Exhaust pollution and energy crises are worsening worldwide. China has become the largest motor vehicle producer; thus, promoting the use of new energy vehicles (NEVs) in China has important practical significance. In this paper, considering the limited rationality of governments, NEV enterprises and consumers, we study the subsidy policy of the China NEV market using the evolutionary game and system dynamics (SD) methods. First, a tripartite evolutionary game model is developed and the replicator dynamics equations and Jacobian matrix are obtained. A SD simulation of the model was conducted to further clarify the impact of the initial market proportion and three variables used in the model. The results show that the initial market proportion affects the evolution speed but does not affect the evolution result when the three group players all choose a mixed strategy. For governments, they should not hastily cancel price subsidies provided to consumers; rather, they should dynamically adjust the rate of the subsidy decrease and increase the consumers’ extra cost for purchasing fuel vehicles (FVs). NEV enterprises should appropriately increase their investments in the research and development (R&D) of NEVs.

Cooperation dynamics of polycentric climate governance

2015 ◽  
Vol 25 (13) ◽  
pp. 2503-2517 ◽  
Author(s):  
Vítor V. Vasconcelos ◽  
Francisco C. Santos ◽  
Jorge M. Pacheco
Keyword(s):  
Common Good ◽  
Evolutionary Game ◽  
Wealth Inequality ◽  
Small Scale ◽  
The Poor ◽  
Viable Solution ◽  
The Rich ◽  
Global Coordination ◽  
The Impact ◽  
Climate Change Governance

Global coordination for the preservation of a common good, such as climate, is one of the most prominent challenges of modern societies. In this manuscript, we use the framework of evolutionary game theory to investigate whether a polycentric structure of multiple small-scale agreements provides a viable solution to solve global dilemmas as climate change governance. We review a stochastic model which incorporates a threshold game of collective action and the idea of risky goods, capturing essential features unveiled in recent experiments. We show how reducing uncertainty both in terms of the perception of disaster and in terms of goals induce a transition to cooperation. Taking into account wealth inequality, we explore the impact of the homophily, potentially present in the network of influence of the rich and the poor, in the different contributions of the players. Finally, we discuss the impact of polycentric sanctioning institutions, showing how such a scenario also proves to be more efficient than a single global institution.

Modeling and Simulation on Knowledge Transfer among Unofficial Groups Based on Communication Networks

2013 ◽  
Vol 411-414 ◽  
pp. 145-151
Author(s):  
Xiao Dong Kou ◽  
Bo Zhang ◽  
Lin Yang
Keyword(s):  
Knowledge Transfer ◽  
Complex Networks ◽  
Communication Networks ◽  
Simulation Analysis ◽  
China National Knowledge Infrastructure ◽  
Simulation Research ◽  
Knowledge Infrastructure ◽  
Learned Societies ◽  
Agent Simulation ◽  
Multi Agent

With features of good interactivity and fast spread speed, unofficial networks play a significant role in knowledge transfer. Based on theories of communication networks and computational modeling method, the transfer situation of complex networks theory within Chinas learned societies, including its rising, spread and development, was modeled and then made simulation analysis by using the Blanche software. By comparing the analysis results with periodicals data from China National Knowledge Infrastructure, the effectiveness of the built model and the reliability of Blanche in multi-agent simulation research are all validated. Furthermore, the future development of complex networks theory in China is predicted as well.

scholarly journals Research on Cooperative Innovation Behavior of Industrial Cluster Based on Subject Adaptability

2016 ◽  
Vol 2016 ◽  
pp. 1-19 ◽  
Author(s):  
Xiaohui Jia ◽  
Minghui Jiang ◽  
Lei Shi
Keyword(s):  
Steady State ◽  
Evolutionary Game ◽  
Industrial Cluster ◽  
Industrial Clusters ◽  
Government Support ◽  
Correlated Equilibrium ◽  
Game Model ◽  
Cooperative Innovation ◽  
The Cost ◽  
The Impact

From the perspective of the interactive cooperation among subjects, this paper portrays the process of cooperative innovation in industrial cluster, in order to capture the correlated equilibrium relationship among them. Through the utilization of two key tools, evolutionary stable strategy and replicator dynamics equations, this paper considers the cost and gains of cooperative innovation and the amount of government support as well as other factors to build and analyze a classic evolutionary game model. On this basis, the subject’s own adaptability is introduced, which is regarded as the system noise in the stochastic evolutionary game model so as to analyze the impact of adaptability on the game strategy selection. The results show that, in the first place, without considering subjects’ adaptability, their cooperation in industrial clusters depends on the cost and gains of innovative cooperation, the amount of government support, and some conditions that can promote cooperation, namely, game steady state. In the second place after the introduction of subjects’ adaptability, it will affect both game theory selection process and time, which means that the process becomes more complex, presents the nonlinear characteristics, and helps them to make faster decisions in their favor, but the final steady state remains unchanged.

Sign in / Sign up

Export Citation Format

Share Document