scholarly journals Knowledge Sharing Strategy and Emission Reduction Benefits of Low Carbon Technology Collaborative Innovation in the Green Supply Chain

2022 ◽  
Vol 9 ◽  
Author(s):  
Fuqiang Wang ◽  
Huimin Li ◽  
Yongchao Cao ◽  
Chengyi Zhang ◽  
Yunlong Ran
Keyword(s):  
Supply Chain ◽  
Knowledge Sharing ◽  
Cost Sharing ◽  
Emission Reduction ◽  
Simulation Analysis ◽  
Green Supply Chain ◽  
Low Carbon ◽  
Knowledge Stock ◽  
Effort Level ◽  
The Cost

Knowledge sharing (KS) in the green supply chain (GSC) is jointly determined by the KS efforts of suppliers and manufacturers. This study uses the differential game method to explore the dynamic strategy of KS and the benefits of emission reduction in the process of low carbon (LC) technology in the GSC. The optimal trajectory of the knowledge stock and emission reduction benefits of suppliers and manufacturers under different strategies are obtained. The validity of the model and the results are verified by numerical simulation analysis, and the sensitivity analysis of the main parameters in the case of collaborative sharing is carried out. The results show that in the case of centralized decision-making, the KS efforts of suppliers and manufacturers are the highest, and the knowledge stock and emission reduction benefits of GSC are also the best. The cost-sharing mechanism can realize the Pareto improvement of GSC’s knowledge stock and emission reduction benefits, but the cost-sharing mechanism can only increase the supplier’s KS effort level. In addition, this study found that the price of carbon trading and the rate of knowledge decay have a significant impact on KS. The study provides a theoretical basis for promoting KS in the GSC and LC technology innovation.

Knowledge stock, ambidextrous learning, and firm performance

2012 ◽  
Vol 50 (6) ◽  
pp. 1096-1116 ◽  
Author(s):  
Cheng‐Yu Lee ◽  
Yen‐Chih Huang
Keyword(s):  
Firm Performance ◽  
Knowledge Stock

Knowledge stock and absorptive capacity of small firms: the moderating role of formalization

2019 ◽  
Vol 12 (2) ◽  
pp. 189-207 ◽  
Author(s):  
Sanjay Chaudhary
Keyword(s):  
Absorptive Capacity ◽  
Small Firms ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Business Owners ◽  
Knowledge Stock ◽  
Content Type ◽  
Depth Of Knowledge ◽  
Moderating Role

Purpose Despite the established significance of absorptive capacity, there is a worrying lack of research that empirically examines its antecedents. With a call for investigation guided by the knowledge-based theory, the purpose of this paper is to bridge any probable gap by exploring the effect that an organization’s knowledge stock and its knowledge integrating mechanisms have on the development of its absorptive capacity. Design/methodology/approach On the basis of a survey administered to a sample comprising owners of small Indian automotive firms, this paper empirically examines the direct effect of an organization’s knowledge stock (including knowledge breadth and depth) and the moderating role of its structure-related mechanisms (e.g., formalization) on its potential and realized absorptive capacities. The study uses survey data from 226 small business owners and multiple linear regression analysis to examine the significance of its hypotheses. Findings The results show that knowledge stock has a statistically notable influence on a small firm’s absorptive capacity. The enabling role of formalization in the relationship between knowledge stock and absorptive capacity is also evident. Practical implications Given the handicap of small firms vis-à-vis large firms to deploy internal R&D capabilities, business owners must ensure not to confuse absorptive capacity with the pre-existence of R&D capabilities. Originality/value The unbundling of knowledge stock into breadth and depth of knowledge enables business owners and researchers to understand how any particular knowledge stock can relate to an organization’s absorptive capacity.

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