Leveraging Cloud Computing to Enhance Supply Chain Management in Automobile Industry

2011 ◽  
Author(s):  
Bu Yinglei ◽  
Wang Lei
Keyword(s):  
Cloud Computing ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Automobile Industry ◽  
Chain Management

Supply chain cooperation as a green supply chain management implementation strategy to achieve competitive advantages in natural disaster prone regions

2018 ◽  
Vol 28 (5) ◽  
pp. 564-583 ◽  
Author(s):  
Abednico Lopang Montshiwa
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Automobile Industry ◽  
Implementation Strategies ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Competitive Advantages ◽  
Chain Management ◽  
Content Type ◽  
Implementation Tool

Purpose This study aims to present a competitive advantages framework suited for disaster prone regions in the era of climate change, present supply chain cooperation (SCC) as an integral part of GrSCM within the automobile industry and evaluate the competitive advantages framework merits based on SCC as a new implementation tool. Design/methodology/approach In an effort to address limited green supply chain management implementation strategies in disaster prone regions, the paper presents SCC as an economic, social and political implementation tool. To explore this; the study introduces SCC in a three-phase competitive advantages model adopted from the Barney 1995 model (with slight differences). Smart PLS 3.0 software package was adopted to carry out multi-variable data analysis. The study’s assumption is a capital economic system and bases its argument of analysis on stockholder theoretical lenses. Findings Big company size does not significantly affect SCC, suggesting that companies of all size can organize and enhance their network to be cooperative. Companies with cooperative supply chain network tend to have competitive advantages. SCC is also a viable way to manage business risks, be there internal or external. Research limitations/implications One of the study’s limitation is the stockholder theory it adopts, which shoulders its assumptions on a capital economic model of operation. Indeed, the study covered China, which is seen to be a communist-based economy. Another study’s limitation is that it narrows its data collection to disaster prone areas as documented by Guha-Sapir et al. (2012). Consequently, the findings of this study might be only applicable to areas that experience significant level of disruptions usually caused by disaster incidents. Originality/value The study is also the first of its kind to propose a model for automobile manufacturing in disaster prone regions. This is done by introducing SCC as an economic, social and political factor, while risk ranking is introduced as an environmental factor to constitute the external changes that Barney 1995 introduced.

Big Data and Cloud Computing

2018 ◽  
pp. 1-28 ◽  
Author(s):  
Marcus Tanque ◽  
Harry J Foxwell
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Data Analytics ◽  
Large Scale ◽  
Big Data Analytics ◽  
Chain Management ◽  
Computing Services ◽  
Cloud Computing Services

Big data and cloud computing are transforming information technology. These comparable technologies are the result of dramatic developments in computational power, virtualization, network bandwidth, availability, storage capability, and cyber-physical systems. The crossroads of these two areas, involves the use of cloud computing services and infrastructure, to support large-scale data analytics research, providing relevant solutions or future possibilities for supply chain management. This chapter broadens the current posture of cloud computing and big data, as associate with the supply chain solutions. This chapter focuses on areas of significant technology and scientific advancements, which are likely to enhance supply chain systems. This evaluation emphasizes the security challenges and mega-trends affecting cloud computing and big data analytics pertaining to supply chain management.

Use of Information Technology in the Supply Chain Management of the Pharmaceutical Industry

2022 ◽  
pp. 137-168
Author(s):  
Saibal Kumar Saha ◽  
Sangita Saha ◽  
Ajeya Jha
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Cloud Computing ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Pharmaceutical Industry ◽  
Successful Implementation ◽  
Chain Management ◽  
Role Of Information

An efficient supply chain management helps to increase the productivity of a business. Use of information technology and concepts like artificial intelligence, blockchain, and cloud computing have integrated the different aspects of supply chain with its stakeholders. Published literature in the field of SCM, IT, and the pharmaceutical industry has been reviewed, and different aspects of innovation, technique, risks, advancements, factors, and models have been taken into consideration to form a comprehensive chapter focusing on the role of information technology in the supply chain management of the pharmaceutical industry. The chapter finds that IT has made a significant impact in improving the efficiency of SCM. But its successful implementation and collaboration with other firms is the key to success for an efficient SCM. Within each category, gaps have been identified.

Fading Challenges in Implementation of Supply Chain Management Information System in the Indian Automobile Industry

2020 ◽  
pp. 230-262
Author(s):  
Manisha Seth ◽  
Ravi Kiran ◽  
D. P. Goyal
Keyword(s):  
Information System ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Automobile Industry ◽  
Management Information System ◽  
Communication Systems ◽  
Successful Implementation ◽  
Management Information ◽  
Chain Management ◽  
Set Up

With the advent of globalization and fast changing environment, companies are using information and communication systems in the supply chain. Supply chain management information system (SCMIS) has gained a lot of importance because of its ability to reduce costs and increase responsiveness in the supply chain. Review of literature has revealed that the success in implementation of SCMIS and successfully attaining the return expected from the system implemented is a challenge. With such high failure rates scenario, it becomes imperative to identify the risk and the failure factors that may arise during implementation and the ways to tackle these risks. In this chapter, an attempt has been made to establish the challenges, their severity, and improvisation for the successful implementation of SCMIS in the Indian automobile industry. The findings can help the practitioners and managers better understand the challenges, focus the resources, their attention, set up the priorities, and thus improve the chances of successful implementation of SCMIS.

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