The Impact of Block-Chain on Collaborative Product Innovation of Manufacturing Supply Chain

2020 ◽  
pp. 73-83
Author(s):  
Caihong Liu ◽  
Hannah Ji ◽  
June Wei
Keyword(s):  
Supply Chain ◽  
Product Innovation ◽  
Manufacturing Supply Chain ◽  
Block Chain ◽  
The Impact

scholarly journals Green Co-Creation Strategies among Supply Chain Partners: A Value Co-Creation Perspective

2020 ◽  
Vol 12 (10) ◽  
pp. 4305 ◽  
Author(s):  
Genzhu Li ◽  
Xianliang Shi ◽  
Yefei Yang ◽  
Peter K. C. Lee
Keyword(s):  
Supply Chain ◽  
Value Functions ◽  
Green Innovation ◽  
A Value ◽  
Manufacturing Supply Chain ◽  
Green Investment ◽  
The Cost ◽  
The Impact ◽  
Resource Shortage

In response to the global fight against environmental deterioration and resource shortage, many governments call on firms to implement green innovation strategies. However, for most small and medium-sized firms, the high cost of green innovation makes it difficult to achieve green goals, causing the need for a growing number of firms to cooperate with their supply chain partners on green innovations. Thus, this study explores, from a value co-creation perspective, how supply chain partners share the investment in, and benefits of, green innovation, assuring their long-term cooperation. Based on a three-level manufacturing supply chain, this paper proposes three different types of green co-creation strategies (i.e., the manufacturer and its supplier, the manufacturer and its competitor, the manufacturer and its retailer). We set the mechanism of co-creation to share the cost of green investment and consider the impact of co-creation on the sales of supply chain partners. Then, by constructing the value functions of three co-creation strategies and proving the concavity of these functions, the findings indicate that different co-creation strategies can indeed improve the firm’s profit in a certain range and achieve a different maximum value in a certain green investment sharing point. This study enriches the literature on green co-creation in supply chains by combing green investment sharing strategies among supply chain partners with value co-creation. In addition, this study provides manufacturers with guidelines on how to share green costs and choose a green co-creation strategy in different operational environments.

Analyzing the supply chain risk issues for an Indian manufacturing company

2014 ◽  
Vol 11 (2) ◽  
pp. 144-162 ◽  
Author(s):  
Sudeep Kumar Pradhan ◽  
Srikanta Routroy
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Business Practices ◽  
Manufacturing Companies ◽  
Supply Chain Risk ◽  
Content Type ◽  
Related Risk ◽  
Manufacturing Supply Chain ◽  
Manufacturing Company ◽  
The Impact

Purpose – The purpose of this paper is to identify, analyze, assess and manage the risks issues involved in an Indian manufacturing supply chain. The paper also shows the direction to use the proposed comprehensive risk management framework in different manufacturing supply chain. Design/methodology/approach – The various risks for an Indian manufacturing company are identified through brainstorming session held with managers and engineers. The risks are categorized (i.e. delivery performance; process capability; demand and supply fluctuation at supplier end; rework; and business practices) and the domain (i.e. supplier, manufacturer and customer) of each risk is also identified for further analysis. A Failure Mode and Effect Analysis is used to rank the impact of all the relevant risks associated with various risk categories and the action plans are suggested by proposing a risk treatment process. Findings – The degree of impact of each relevant risk is determined and is used for deriving managerial insights. Through Pareto analysis, it is concluded that top 20 percent risk factors are coming from supplier and organization domain. It is interesting to note that no relevant risk related to customer domain is appearing in top 20 percent. It is also found that 54 percent risk is coming from supplier-related risk domain and 46 percent risk exists in the organization-related risk domain among top 20 percent risk. Research limitations/implications – This study is restricted to only one Indian manufacturing company. Therefore, the outcomes of the study should not be generalized. Further studies may be carried out for several Indian manufacturing industries to get more generalized impact of risks, its validity and their variation across the different manufacturing companies. Practical implications – The simplicity and clarity of the proposed framework provides step-by-step approach for identifying, categorizing and managing risks involved in the supply chain. It also provides the guidelines for a manager to benchmark and update risk handling in a specific manufacturing environment with its own priority considerations. Originality/value – Although many literatures are available related to supply chain risk management, the proposed approach provides a better practical generic platform to understand, manage, reduce and mitigate the risks involved along the manufacturing supply chain.

scholarly journals Modeling on Disruption Risk Prediction of Manufacturing Supply Chain Based on C4.5 Algorithm

2021 ◽  
Vol 15 ◽  
pp. 578-585
Author(s):  
Weibin Wang ◽  
Renyong Chi ◽  
Caihong Liu
Keyword(s):  
Supply Chain ◽  
Risk Prediction ◽  
Diagnostic Value ◽  
Empirical Method ◽  
Manufacturing Supply Chain ◽  
C4.5 Decision Tree ◽  
Disruption Risk ◽  
Decision Tree Method ◽  
Supply Chain Operation ◽  
The Impact

Under the impact of covid-19, the global and domestic manufacturing supply chains, almost suffered from the serious interruption crisis of manpower flow, logistics, information flow and capital flow. The risk of supply chain disruption has become the primary risk of the supply chain. However, some risk inducement of supply chain interruption is complex and diverse, so it is very difficult to grasp and screen the risk data needed for research from the supply chain operation data. To improve the robustness of supply chain for boosting the domestic and international circulation of China's manufacturing, in this paper, according to the characteristics of China's manufacturing supply chain and its risk incentives, the data needed for risk prediction modeling has been sorted out through questionnaire survey, and a regression model of risk prediction for manufacturing supply chain by using empirical method would be put forward. Then, C4.5 decision tree method is used to train and evaluation the risk prediction model. The conclusion shows that the customer satisfaction has great diagnostic value for risk, and the model has a strong sensitivity to market information risk and market order risk. The conclusion is more consistent with general cognition, and the model fits well, indicating that the model proposed in this paper has a certain theoretical significance, and its practical application value is worthy of further testing.

The Influence of Supply Chain Collaboration on Process, Relational and Product Innovations

2010 ◽  
pp. 186-203 ◽  
Author(s):  
Luc Cassivi ◽  
Pierre Hadaya ◽  
Elisabeth Lefebvre ◽  
Louis A. Lefebvre
Keyword(s):  
Supply Chain ◽  
Product Innovation ◽  
Process Innovation ◽  
Supply Chain Collaboration ◽  
Strategic Actions ◽  
Product Innovations ◽  
Collaboration Tools ◽  
The Impact

This chapter focuses on the impact of strategic and tactical collaborative actions as well as e-collaboration tools efficiency on process and relational innovations which in turn should influence product innovations. The results of this study show that tactical collaborative actions are more geared to lead firms to innovate rather than strategic actions. Findings also suggest that relational innovation has an effect on product innovation for the upstream perspective, whilst process innovation influences product innovation for the downstream perspective.

Effect of buyer-supplier supply chain strategic collaboration on operating performance: evidence from Chinese companies

2020 ◽  
Vol 25 (6) ◽  
pp. 823-839
Author(s):  
Weihua Liu ◽  
Xiaoyu Yan ◽  
Cheng Si ◽  
Dong Xie ◽  
Jingkun Wang
Keyword(s):  
Supply Chain ◽  
Performance Metrics ◽  
Operating Performance ◽  
Secondary Data ◽  
Self Control ◽  
Company Performance ◽  
Content Type ◽  
Performance Improvements ◽  
Manufacturing Supply Chain ◽  
The Impact

Purpose The purpose of this study is to examine the impact of the implementation of supply chain strategic collaboration (SCSC) on companies’ operating performance. Design/methodology/approach Based on 181 SCSC announcements of listed companies in China, this study analyzes changes in the operating performance of the sample companies in the 20 quarters after the announcement. The changes in different operating performance metrics for the sample firms are compared against their metrics before the announcement. This study uses a self-control model based on historical performance and uses a combination of adjustment percentage changes and adjustment level changes to measure performance changes. Findings SCSC helps to improve firm operating performance, although this effect is only evident after two years. Companies that collaborate on product development have better performance improvements than do companies that implement market collaboration. The operating performance of buyer companies is better than that of supplier companies. Finally, strategic collaboration in the service supply chain improves performance more than that in the manufacturing supply chain. Practical implications The finding that company performance varies in different situations can help managers better understand and manage SCSC. Originality/value This study newly uses secondary data to assess changes in companies’ operating performance brought about by the implementation of SCSC.

scholarly journals The Impact of Block Chain and Smart Inventory System on Supply Chain Performance at Retail Industry

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Edward Probir Mondol
Keyword(s):  
Supply Chain ◽  
Quantitative Research ◽  
Inventory System ◽  
Retail Industry ◽  
Supply Chain Performance ◽  
Statistical Process ◽  
Blockchain Technology ◽  
Mediator Role ◽  
Block Chain ◽  
The Impact

Blockchain is a trending topic and would be the most significant issue for all industries, manufacturing or services. This study aims to investigate the Impact of Block Chain and Smart Inventory System on Supply Chain Performance at Retail Industry in the UAE. A quantitative research was adapted, and a survey was designed and rolled out by email to all participants. A 202 valid questionnaires were used in the statistical process in order to find out the impact of blockchain technology and smart inventory on supply chain performance in retail industry. The hypotheses testing confirmed the direct impact of blockchain technology on supply chain performance side by side with the mediator role of smart inventory in the indirect impact. The results revealed that blockchain is becoming the real time need of the retail industry and has improved the efficiency of the retail industry.

The Impact of a Potential Public/Private Initiative on a Defined Region of the South Suburban Chicago Metropolitan Area

2019 ◽  
pp. 14-32
Keyword(s):  
Supply Chain ◽  
Economic Impact ◽  
Impact Analysis ◽  
Census Data ◽  
Economic Benefits ◽  
Local Economy ◽  
Market Area ◽  
State And Local ◽  
The University ◽  
The Impact

The university is considered one of the engines of growth in a local economy or its market area, since its direct contributions consist of 1) employment of faculty and staff, 2) services to students, and supply chain links vendors, all of which define the University’s Market area. Indirect contributions consist of those agents associated with the university in terms of community and civic events. Each of these activities represent economic benefits to their host communities and can be classified as the economic impact a university has on its local economy and whose spatial market area includes each of the above agents. In addition are the critical links to the University, which can be considered part of its Demand and Supply chain. This paper contributes to the field of Public/Private Impact Analysis, which is used to substantiate the social and economic benefits of cooperating for economic resources. We use Census data on Output of Goods and Services, Labor Income on Salaries, Wages and Benefits, Indirect State and Local Taxes, Property Tax Revenue, Population, and Inter-Industry to measure economic impact (Implan, 2016).

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