scholarly journals Research on the Supply Chain Performance Evaluation Mechanism Based on Emergencies

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Wenxue Ran ◽  
Yimin Hu ◽  
Huasen Fu
Keyword(s):  
Supply Chain ◽  
Emergency Management ◽  
Complete Information ◽  
Market Demand ◽  
Substantial Impact ◽  
Novel Approach ◽  
Profit Status ◽  
Evaluation Mechanism ◽  
Management Capabilities ◽  
Future Growth

Some emergencies have produced enormous changes in market demand in recent years as the economy has progressed. The supply chain’s capacity to adapt to this market demand has a substantial impact on the company’s future growth. As the frequency of emergencies rises, emergency management is becoming increasingly critical for enterprises. This article examines the responsiveness and profit status of the supply chain under the three conditions of total complete information symmetry, incomplete information symmetry, and information asymmetry based on the information sharing degree of supply chain firms. The research offers a novel approach to emergency management. It makes recommendations for how the company may share information to improve its emergency management capabilities. Finally, the feasibility of the model is verified and analyzed by a case.

scholarly journals Decision and Coordination in a Dual-Channel Three-Layered Green Supply Chain

Symmetry ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 549 ◽  
Author(s):  
Zilong Song ◽  
Shiwei He ◽  
Baifeng An
Keyword(s):  
Sustainable Development ◽  
Supply Chain ◽  
Environmental Performance ◽  
Fresh Produce ◽  
Green Supply Chain ◽  
Market Demand ◽  
Equilibrium Solutions ◽  
Sustainable Performance ◽  
Dual Channel ◽  
Social And Environmental Performance

This paper investigated, for the first time, the game and coordination of a dual-channel, three-layered, green fresh produce supply chain, with regard to its economic, social, and environmental performance. Considering that the market demand is dual-channel priced and sensitive to the degree of greenness and the freshness-level, four game models, under different scenarios have been established. These included a centralized scenario, a decentralized scenario, and two contractual scenarios. The equilibrium solutions under the four scenarios were characterized. From the perspective of a sustainable development, the economic, social, and environmental performance of the supply chain was analyzed. To enhance the supply chain performance, two contract mechanisms were designed and the conditions for a multi-win outcome were obtained. Accordingly, many propositions and management implications were provided. The results showed that, (1) compared to the centralized supply chain case, the performance of the decentralized supply chain case is inferior; (2) in addition to increasing the concentration of the supply chain decisions, the two contracts proposed can effectively coordinate the green supply chain and improve its sustainable performance; and (3) the performance of the supply chain is positively driven by the consumers’ sensitivity to greenness degree and the freshness level of fresh produce. This paper fills a research gap and helps the participants of the channel recognize the operational decision principle of a complex green supply chain, in order to achieve a higher and a long-term sustainable-development performance.

Research on the influence of relation embeddedness on innovation performance of manufacturing supply chain alliances using expert fuzzy rule –intermediary role of shared mental model

2021 ◽  
pp. 1-8
Author(s):  
Guo Lifang ◽  
Cui Yuwen ◽  
Wu Yamin ◽  
Ma Jiaqi
Keyword(s):  
Supply Chain ◽  
Mental Model ◽  
Fuzzy Rule ◽  
Innovation Performance ◽  
Market Demand ◽  
Shared Mental Model ◽  
Rule Based System ◽  
Manufacturing Supply Chain ◽  
Intermediary Role

The innovation and development of manufacturing supply chain alliance is an important way for enterprises to meet the increasing market demand and maintain the competitive advantage. From the perspective of embeddedness, the research model of relation embeddedness on innovation performance of manufacturing supply chain was constructed based on AMOS. Shared mental model was selected as intermediary variable to study the influence of relation embeddedness, shared mental model and innovation performance of manufacturing supply chain alliances. Expert fuzzy rule based system is utilized for measuring the performance of manufacturing supply chain alliances. The conclusion shows that relation embeddedness is significantly positive shared mental model and innovation performance. Shared mental model is positively affects alliance innovation performance and plays a part of intermediary role between relational embedding and alliance innovation performance. Practice implicates that enhance the level of relation embeddedness can promote the formation of shared mental model and improve the innovation performance of manufacturing supply chain alliance.

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 Who Drives Green Innovation? A Game Theoretical Analysis of a Closed-Loop Supply Chain under Different Power Structures

2020 ◽  
Vol 17 (7) ◽  
pp. 2274 ◽  
Author(s):  
Dooho Lee
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Closed Loop ◽  
Stackelberg Game ◽  
Innovation Strategy ◽  
Market Demand ◽  
Green Innovation ◽  
Closed Loop Supply Chain ◽  
Innovation Strategies ◽  
Market Leadership

As awareness of environmental protection increases worldwide, enterprises have been building their supply chains in ways that conserve natural resources and minimize the creation of pollutants. One of the practical ways to make supply chains more sustainable is for enterprises to utilize green innovation strategies and to increase resource reuse. In this work, we focus on a closed-loop supply chain (CLSC) consisting of a manufacturer, a retailer, and a collector. In the investigated CLSC, the manufacturer and the retailer drive the green innovation strategy either individually or simultaneously to boost market demand. In the reverse flow of the CLSC, the collector is responsible for collecting consumers’ used products and transferring them to the manufacturer for remanufacturing. By combining two types of the market leadership and three types of green innovation strategies, we establish six different Stackelberg game models and solve them analytically. Through an extensive comparative analysis, we show who should have market leadership and who should drive the green innovation strategy in the CLSC. Various numerical examples are also given to support our major findings. One of our key findings suggests that the supply chain members must participate in green innovation activities at the same time to achieve a win-win scenario in the CLSC.

Research on Mode of after-Sale Reverse Logistics Operation of Auto Maintenance Industry Based on Time Window

2011 ◽  
Vol 121-126 ◽  
pp. 4635-4639
Author(s):  
Hao Hao ◽  
Xing Gen Wu ◽  
Hong Yu Li
Keyword(s):  
Supply Chain ◽  
Reverse Logistics ◽  
High Speed ◽  
Time Window ◽  
Auto Industry ◽  
Road Transport ◽  
Motor Vehicles ◽  
Safety Testing ◽  
Internal Operations ◽  
Evaluation Mechanism

The author maintains that, with the quick development of domestic auto industry, the auto maintenance industry is progressing with high speed accordingly. The auto maintenance enterprise are inclined to focus on sales and forward supply chain operation, however, lacking of efficient resource and systematic management into reverse logistics operation, as lead to a few potential risks. In order to avoid and control the risks, the auto maintenance companies need to closely cooperate with channel supply chain partners, meanwhile build up the mode of reverse logistics operation with timing efficiency orientation. This mode consists of eight sub-system modules: organization structure, network planning and layout, reverse logistics operation procedure, time window evaluation mechanism, automatic replenishment system, reverse forecasting system, Kan-ban message system as well as disposal & reuse system. Furthermore, the article makes analysis of the internal operations and external relevance of these eight sub-systems. In recent years, with the overall opening up of road transport market and the rapid growth in domestic economy, the total number of China’s motor vehicles is entering a high-speed growth channel, and “the car goes to the country” policy further promotes the auto industry. Under the situation of quick development, the auto maintenance industry is developing by 10% to 15% each year as a young profession. According to the statistics, there are over 380,000 auto maintenance enterprises in our country at the moment, and various types of auto safety testing stations are built around one after another. The intense competition among auto maintenance manufacturing enterprises does not only focus on product quality, but also on the after-market reverse logistics. According to the statics of Gartner, 70 percent of resale is related with sales service, and 60 percent of resale is related with after market. However, except for few leading business enterprises which have realized the direct influence and value contribution of after-service reverse logistics to profit increase and customer loyalty and take action to pioneer the profit territory in the after-sale reverse logistics, the ‘price war’ is still the main competition method which the majority of enterprises adopt in the market.

Relational asymmetry, trust, and innovation in supply chain management: a non-linear approach

2019 ◽  
Vol 30 (1) ◽  
pp. 303-328 ◽  
Author(s):  
Marek Michalski ◽  
Jose Luis Montes ◽  
Ram Narasimhan
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Institutional Environment ◽  
Least Squares Method ◽  
Cross Sectional ◽  
Chain Management ◽  
Content Type ◽  
Relationship Analysis ◽  
Novel Approach ◽  
Non Linear

PurposeThe purpose of this paper is to examine the non-linear aspects of the asymmetry-performance relationship under varying conditions of trust and innovation. Its novel approach is useful for addressing the strategic elements of supply chain management (SCM) relationships based on trust and innovation decisions.Design/methodology/approachResults are based on a study of 90 managers from small- and medium-sized firms in Spain. Instead of a classical linear relationship analysis, the authors performed a non-linear analysis, using polynomial modeling and Warp 3 partial least squares method, which provides a more nuanced view of the data and constitutes an original approach to empirical research in SCM.FindingsThis study adds a new viewpoint on SC relationships by suggesting that not all trust and innovation development leads directly to performance improvement. The principal finding is, in varying trust and innovation contexts, that the influences of asymmetry on performance have uneven characteristics and follow non-linear paths.Research limitations/implicationsThis study focuses on only one particular institutional environment in one country. The data are also cross-sectional, which makes it difficult to empirically test causality.Practical implicationsThe findings provide rational insights to managers on when it is appropriate to reduce (or not) asymmetric relationships with partners.Originality/valueTrust and innovation are important and ones of the key requirements of supply chain relationships in any environment, this study argues that the interactions of key SCM elements that drive members to better performance are more complex and non-linear.

scholarly journals Optimal Pricing and Green Product Design Strategies in a Sustainable Supply Chain Considering Government Subsidy and Different Channel Power Structures

2021 ◽  
Vol 13 (22) ◽  
pp. 12446
Author(s):  
Kelei Xue ◽  
Guohua Sun ◽  
Yuyan Wang ◽  
Shuiye Niu
Keyword(s):  
Sustainable Development ◽  
Supply Chain ◽  
Social Welfare ◽  
Product Design ◽  
Green Product ◽  
Government Subsidy ◽  
Market Demand ◽  
Design Strategies ◽  
The Government ◽  
Green Product Design

Green product design is a vital measure to support sustainable development in a circular economy era. This paper studies the multi-product pricing and green product design strategies under different supply chain structures and government subsidy strategies. Considering different channel leadership, we establish the centralized (C), manufacturer-led (MS), and retailer-led (RS) supply chain models, respectively. By applying a game-theoretical approach, corresponding equilibrium pricing, green product design, and government subsidy decisions under different supply chain structures are obtained. Through comparison and numerical analysis, we find that: (1) the different subsidy strategies of the government have an important impact on green product development. When the government provides a uniform subsidy strategy, a RS supply chain can bring greener product, more market demands, more profit, and more social welfare; (2) when the government provides a differentiated subsidy strategy, MS and RS supply chain structures can bring greener product and more market demand than the centralized supply chain. They can also bring the same social welfare and the same product to the green design level. However, the MS supply chain structure can bring more profit for the firm; (3) the consumers’ green awareness positively impacts the design and development of green product. Therefore, it is beneficial for the firm to adopt reasonable measures to boost the environmental awareness of consumers in order to realize the sustainable development of our society.

scholarly journals Investigating Market and Regulatory Forces Shaping Artificial Intelligence Adoptions

10.28945/4644 ◽  
2020 ◽  
Vol 4 ◽  
pp. 177-192
Author(s):  
Chrissann R. Ruehle
Keyword(s):  
Artificial Intelligence ◽  
Research Question ◽  
Large Firms ◽  
High Performing ◽  
Key Stakeholders ◽  
The Media ◽  
Management Capabilities ◽  
Collection And Management ◽  
Future Growth

The Artificial Intelligence (AI) industry has experienced tremendous growth in recent years. Consequently, there has been considerable hype, interest, and even misinformation in the media regarding this emergent technology. Practitioners and academics alike are interested in learning how this market functions in order to make evidence-based decisions regarding its adoption. The purpose of this manuscript is to perform a systematic examination of the current market dynamics as well as identify future growth opportunities for the benefit of incumbents in addition to firms seeking to enter the AI market. The primary research question is: how do market and governmental forces reportedly shape AI adoptions? Drawing on predominantly practitioner focused literature, along with several seminal academic sources, the article begins by examining and mapping stakeholders in the market. This approach allows for the identification and analysis of key stakeholders. Semiconductor and cloud computing firms play a substantive role in the AI adoption ecosystem as they wield substantial power as revealed in this analysis. Subsequently, the TOE framework, which includes the technology, organization and environmental contexts, is applied in order to understand the role of these forces in shaping the AI market. This analysis demonstrates that large firms have a significant competitive advantage due to their extensive data collection and management capabilities in addition to attracting data scientists and high performing analytics professionals. Large firms are actively acquiring small and medium sized AI businesses in order to expand their offerings, particularly in dynamic emerging fields such as facial recognition technology and deep learning.

Sign in / Sign up

Export Citation Format

Share Document