scholarly journals The impact of supply chain collaboration on performance in automotive industry: Empirical evidence

2019 ◽  
Vol 12 (2) ◽  
pp. 241 ◽  
Author(s):  
Jamal Ahmed Al-Doori
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Information Sharing ◽  
Automotive Industry ◽  
Electronic Data Interchange ◽  
Automotive Sector ◽  
Supply Chain Collaboration ◽  
Electronic Data ◽  
Joint Decision ◽  
The Impact

Purpose: Indeed due to global advancement, rapid technological innovation, and enhancing regional influence, supply chain (SC) has become an essential element. Now, competition has shifted from organization to industry level; any disruption can not only disturb organization but also affect the whole industry. Although Pakistan is agriculture land still industry sector is supporting more than half population, especially the automotive sector is the highest growing sector. Due to regional and economic shift toward China and India, this sector is facing numerous problems. Only thirteen large-scale automotive organizations are operational by creating collaboration among them many issues can be resolved. Supply chain collaboration has dogged the performance in various industries and in various regions. The aim of this study is to explore the potential benefits of supply chain collaboration toward achieving operational performance.Design/methodology/approach: This is an empirical investigation conducting among supply chain department of automotive industries in Pakistan. Data were collected from 232 members of the supply chain that include suppliers, manufacturers, and distributors. Factor analysis and multiple regressions through SPSS have been used for data analysis.Findings: The finding of this study reveals that two supply chain management approaches information sharing (IS), joint decision making (JDM) significantly effect, while Electronic Data Interchange (EDI) does not have a significant effect on operational performance.Research limitations: This study consists only three approaches, next study should include more approaches. Secondly, this study is limited to the automotive sector.  Practical implications: [This study will help the managers of the automotive industry in making their operation smooth by applying information sharing, joint decision making, and electronic data interchange.Originality/value: First novelty of this study is the implementation of supply chain collaboration for developing country especially for Pakistan. Secondly, this study seed collaboration as communication and include all aspects of communication like formal communication, informal communication. 

The role of IT in automotive supplier supply chains

2018 ◽  
Vol 31 (1) ◽  
pp. 64-88 ◽  
Author(s):  
Christoph Fuchs ◽  
Daniel Beck ◽  
Bernhard Lienland ◽  
Florian Kellner
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Automotive Industry ◽  
Supply Chain Performance ◽  
Content Type ◽  
Internal Process ◽  
Functional Capabilities ◽  
Supplier Performance ◽  
It Capabilities ◽  
The Impact

Purpose The purpose of this paper is to explore the impact of information technology (IT) on supply chain performance in the automotive industry. Prior studies that analyzed the impact of IT on supply chain performance report results representing the situation of the “average industry.” This research focuses on the automotive industry because of its major importance in many national economies and due to the fact that automotive supply chains do not represent the supply chain of the average industry. Design/methodology/approach A research model is proposed to examine the relationships between IT capabilities, supply chain capabilities, and supplier performance. The model divides IT capabilities into functional and data capabilities, and supply chain capabilities into internal process excellence and information sharing. Data have been collected from 343 automotive first-tier suppliers. Structural equation modeling with partial least squares is used to analyze the data. Findings The results suggest that functional capabilities have the greatest impact on internal process excellence, which in turn enhances supplier performance. However, frequent and adequate information sharing also contributes significantly to supplier performance. Data capabilities enable supply chain capabilities through their positive impact on functional capabilities. Practical implications The findings will help managers to understand the effect of IT implementation on company performance and to decide whether to invest in the expansion of IT capacities. Originality/value This research reports the impact of IT on supply chain performance in one of the most important industries in many industrialized countries, and it provides a new perspective on evaluating the contribution of IT on firm performance.

scholarly journals The Role of Collaboration and Integration in the Supply Chain of Construction Industry

2020 ◽  
Vol 6 (7) ◽  
pp. 1300-1313 ◽  
Author(s):  
Fazal Ali Shaikh ◽  
Muhammad Saeed Shahbaz ◽  
Saad Ud Din ◽  
Nasurullah Odhano
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Construction Projects ◽  
Supply Chain Collaboration ◽  
Validity And Reliability ◽  
Joint Decision ◽  
Supplier Integration ◽  
The Government ◽  
Internal Integration

It has found that the construction sector of Pakistan is growing fast due to the China-Pakistan Economic Corridor but history shows that construction projects never achieves its targets. The literature revealed the major hurdles behind the construction is supply chain issues. Supply chain of construction is deficient due to lack of collaboration and integration. The aim of this study is the empirically verify the role of supply chain collaboration (information sharing, Joint decision making, and risk and reward sharing) and supply chain integration (supplier integration, internal integration, and customer integration) with performance. This is a quantitative study, a total of 350 questionnaires were distributed to registered construction firms with Pakistan Engineering Council and 221 were received and considered for analysis after purification, validity and reliability. Multiple-regression technique was applied through SPSS. This study has unique findings as all integration approaches have significant effects while collaboration is not working for the same industry. This proves that members of supply chain construction can get benefit from integration but they hesitate to share their risks, rewards, and planning to all stakeholders. This study will help managers in decision making. This study will also help the government of Pakistan and China in completing their construction projects in time and with the designated cost.

The impact of information sharing on ordering policies to improve supply chain performances

2015 ◽  
Vol 82 ◽  
pp. 127-142 ◽  
Author(s):  
Francesco Costantino ◽  
Giulio Di Gravio ◽  
Ahmed Shaban ◽  
Massimo Tronci
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Ordering Policies ◽  
The Impact ◽  
Improve Supply Chain

MODELING THE IMPACT OF PARTIAL INFORMATION SHARING IN A THREE-ECHELON SUPPLY CHAIN

2013 ◽  
Vol 30 (05) ◽  
pp. 1350020 ◽  
Author(s):  
ZHUPING LIU ◽  
QIUHONG ZHAO ◽  
SHOUYANG WANG ◽  
JIANMING SHI
Keyword(s):  
Supply Chain ◽  
Numerical Analysis ◽  
Information Sharing ◽  
Partial Information ◽  
Autoregressive Coefficient ◽  
The Impact

This paper investigates the impact of partial information sharing in a three-echelon supply chain. Partial information sharing means that information sharing occurs only between the distributor and the retailer, but not between the distributor and the manufacturer. This paper contributes to the literature by summarizing the circumstances in which information sharing between the retailer and the distributor benefits the manufacturer. In addition, our study points out that such information sharing does not always bring benefits to the manufacturer and that in some cases the information sharing may harm the manufacturer. We explain the reasons why this can happen and give managerial intuition for our results. Using numerical analysis, we illustrate the impact of partial information sharing on the agents in the supply chain with the change of the autoregressive coefficient in the demand process.

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