scholarly journals Cooperative Green Technology Innovation of an E-Commerce Sales Channel in a Two-Stage Supply Chain

2021 ◽  
Vol 13 (13) ◽  
pp. 7499
Author(s):  
Zongyu Mu ◽  
Yuangang Zheng ◽  
Hao Sun
Keyword(s):  
Supply Chain ◽  
Technology Innovation ◽  
Spillover Effect ◽  
Product Market ◽  
Free Riding ◽  
Green Technology ◽  
Market Demand ◽  
Two Stage ◽  
Sales Channel ◽  
Innovation Activities

The potential broad market of green consumption has encouraged an increasing number of enterprises to carry out green technology innovation activities. This paper examines a two-stage supply chain of e-commerce sales channels under different cooperative models. We find that consumers’ green preferences are the main factor that affects green product market demand. The manufacturer and the retailer can raise the levels of green technology innovation and extend green promotional services to expand product market demand in online and offline channels. However, consumers’ e-commerce preferences and online free-riding behaviors affect the manufacturer’s sales channel choice. The retailer can improve the level of green promotional services to hold offline channel market demand, while promotional behaviors have a positive/negative spillover effect on online market demand if the level of free riding falls above/below consumers’ e-commerce preferences. The higher the cooperative level is, the later the manufacturer will open the online channel and close the offline channel to ensure a high level of green promotional service from the cooperative retailer. The results show that the stronger the level of cooperation among all members is, the better the economic, ecological, and social benefits will be. Therefore, we design a revenue-cost sharing contract that can effectively motivate green technology innovation and green promotional services and afford all members win-win profits.

scholarly journals An Empirical Study on the Impact of Environmental Regulation on the Efficiency of Green Technology Innovation

2021 ◽  
Vol 248 ◽  
pp. 02029
Author(s):  
Wu Min
Keyword(s):  
Empirical Study ◽  
Environmental Regulation ◽  
Direct Effect ◽  
Indirect Effect ◽  
Technology Innovation ◽  
Spillover Effect ◽  
Green Technology ◽  
Total Effect ◽  
Two Stage ◽  
The Impact

This paper uses two-stage super efficiency network SBM DEA model to calculate the efficiency of green technology innovation, and analyzes the spillover effect of three different environmental regulations, namely command control, market incentive and independent participation. The results show that the direct effect of the command control environmental regulation on the efficiency of green technology innovation is positive, the indirect effect and the total effect are negative; the direct effect, indirect effect and total effect of market incentive environmental regulation and independent participation Environmental Regulation on the efficiency of green technology innovation are positive.

Industry 4.0 technology provision: the moderating role of supply chain partners to support technology providers

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guilherme Brittes Benitez ◽  
Mateus Ferreira-Lima ◽  
Néstor F. Ayala ◽  
Alejandro G. Frank
Keyword(s):  
Supply Chain ◽  
Customer Loyalty ◽  
Open Innovation ◽  
Industry 4.0 ◽  
Technology Innovation ◽  
Technology Development ◽  
Competitive Strategies ◽  
Content Type ◽  
Innovation Activities ◽  
Long Run

Purpose The provision of Industry 4.0 solutions demands a vast range of technology domains. To provide these solutions, small and medium-sized enterprises (SMEs) may need the support of different supply chain actors through an inbound open innovation strategy. The authors study the contribution of four types of supply chain actors for inbound open innovation: suppliers, competitors with complementary technologies, R&D centers and customers. The authors analyze how these four actors moderate the effect of integrated Industry 4.0 solutions on three main competitive strategies: cost, focalization and differentiation. Design/methodology/approach The authors conducted a survey on 77 SMEs from the automation sector, using OLS regression with moderating effects. They considered the integration of 15 technologies and 7 classic automation activities in the provision of Industry 4.0 solutions. The authors also studied three competitive outputs – technology cost reduction (cost), customer loyalty (focalization) and technology innovation (differentiation) – as well as four supply chain actors (moderators). Findings Expanding the provision of Industry 4.0 technologies increases customer loyalty and technology innovation. Collaboration with competitors (complementary technologies) leverage these results and reduce technology costs. Integration between customers and R&D centers elevates costs but R&D centers can foster long-run innovation. Originality/value This study is the first to empirically investigate inbound open innovation in the supply chain for technology development in the context of Industry 4.0. The authors discuss how these actors contribute to four inbound open innovation activities: technology scouting; horizontal technology collaboration; vertical technology collaboration; and technology sourcing.

Effects of dominance on operation policies in a two-stage supply chain in which market demands follow the Bass diffusion model

2018 ◽  
Vol 52 (4-5) ◽  
pp. 1261-1275
Author(s):  
Phan Nguyen Ky Phuc ◽  
Vincent F. Yu ◽  
Shuo-Yan Chou ◽  
Yu-Chung Tsao
Keyword(s):  
Supply Chain ◽  
Diffusion Model ◽  
Bass Model ◽  
Market Demand ◽  
Two Stage ◽  
Essential Information ◽  
Optimal Policies ◽  
Bass Diffusion ◽  
Bass Diffusion Model ◽  
Production Plans

The Bass model offers several successful applications in forecasting the diffusion process of new products. Due to its potential and flexibilities, the application of this model is not only limited now to forecasting, but also extends to other fields such as analyzing a supply chain’s responses, optimizing production plans, and so forth. This study investigates inventory and production policies in a two-stage supply chain with one manufacturer and one retailer, in which the market demand process follows the Bass diffusion model. The model assumes the market parameters and essential information are available and ready for access. This study then applies dynamic programming and heuristic algorithm to find the optimal policies for each stage under different scenarios.

scholarly journals Assessing Regional Differences in Green Innovation Efficiency of Industrial Enterprises in China

2019 ◽  
Vol 16 (6) ◽  
pp. 940 ◽  
Author(s):  
Jun-liang Du ◽  
Yong Liu ◽  
Wei-xue Diao
Keyword(s):  
Economic Growth ◽  
Value Chain ◽  
Regional Differences ◽  
Technology Innovation ◽  
Indicator System ◽  
Green Technology ◽  
Green Innovation ◽  
High Quality ◽  
Two Stage ◽  
Industrial Enterprises

Green technology innovation is an important means to break out of the constraints of resources and the environment, enhance the competitiveness of enterprises, and achieve the upgrading of industrial structures, and promote high-quality economic growth. In order to realize the overall improvement of the green technology innovation capability of Chinese enterprises, it is necessary to measure the efficiency of industrial enterprises’ green technology innovation and explore their regional differences. In this paper, from the perspective of a two-stage innovation value chain, by introducing the industrial carbon emissions per unit of Gross Domestic Product (GDP) and the “three wastes” pollutants into the research framework of green technology innovation efficiency, we established a novel green innovation efficiency evaluation indicator system for industrial enterprises. Furthermore, we used a two-stage network DEA with shared input to measure the efficiency of regional enterprises’ green technology innovation and explored the regional differences in industrial enterprises’ green technology R&D and the efficiency of green technology achievement transformation. Finally, we provide some suggestions for improving China’s industrial enterprises’ green innovation efficiency, so that they can ameliorate the significant regional imbalances and differences and realize high-quality economic growth.

A differential game analysis on green technology innovation in a supply chain with information sharing of dynamic demand

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Junyi Wei ◽  
Chuanxu Wang
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Differential Game ◽  
Technology Innovation ◽  
Green Technology ◽  
Demand Model ◽  
Dynamic Demand ◽  
Content Type ◽  
Demand Information

PurposeThe objective of this paper is to investigate the impact of the information sharing of the dynamic demand on green technology innovation and profits in supply chain from a long-term perspective.Design/methodology/approachThe authors consider a supply chain consisting of a manufacturer and a retailer. The retailer has access to the information of dynamic demand of the green product, whereas the manufacturer invests in green technology innovation. Differential game theory is adopted to establish three models under three different scenarios, namely (1) decentralized decision without information sharing of dynamic demand (Model N-D), (2) decentralized decision with information sharing of dynamic demand (Model S-D) and (3) centralized decision with information sharing of dynamic demand (Model S-C).FindingsThe optimal equilibrium results show that information sharing of dynamic demand can improve the green technology innovation level and increase the green technology stocks only in centralized supply chain. In the long term, the information sharing of dynamic demand can make the retailer more profitable. If the influence of green technology innovation on green technology stocks is great enough or the cost coefficient of green technology innovation is small enough, the manufacturer and decentralized supply chain can benefit from information sharing. In centralized supply chain, the value of demand information sharing is greater than that of decentralized supply chain.Originality/valueThe authors used game theory to investigate demand information sharing and the green technology innovation in a supply chain. Specially, the demand information is dynamic, which is a variable that changes over time. Moreover, our research is based on a long-term perspective. Thus, differential game is adopted in this paper.

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