Shirzad Talatappeh, S and Lakzi, A (2020) Developing a model for investigating the impact of cloud-based systems on green supply chain management. Journal of Engineering, Design and Technology, 18(4), pp. 741-760. ISSN 1726-0531
Abstract
Purpose: Cloud computing is one of the technologies that improves performance and reduces costs in companies through flexible and easy access to computational resources. Supply chain management is one of the widespread and unlimited computing resources. Applying cloud computing to the green supply chain will eliminate constraints and speed up the implementation of various chain processes. Therefore, this paper aims to present a model and framework for assessing the impact of cloud computing on green supply chain management, which improves the performance of the resulting system in comparison with previous systems. Design/methodology/approach: In this study, a self-made questionnaire containing 38 questions was used to collect data. The questions were compiled based on the variables identified in previous studies. Besides, the answers to the questions were based on the five-point Likert scale (strongly disagree, disagree, no opinion, agree and strongly agree). By reviewing the subject literature, the factors that affect the green supply chain management have been identified, which include cost of services, user-friendly software, energy consumption, subscription and collaboration capabilities and self-service ability. Findings: The findings confirmed the fitness of the proposed model and showed the impact of cloud computing on green supply chain management. In addition, results showed that considered variables (service cost, user-friendly applications, energy consumption, sharing and collaboration and self-service) significantly affect the success management of green supply chain. Practical implications: The results of this research show that, to help effective management of the complexity of the supply chain, many companies have adopted an advanced IT strategy to increase the flow of information and, in turn, to increase their competitive advantage. Originality/value: The development of a cloud computing-based green supply chain management system can lead to improved system performance compared to traditional systems, which can revolutionize a wide range of industries and businesses by clarification of businesses and making the processes smart. It can also reduce costs and improve performance of micro- and macro-business firms. Therefore, the purpose of this study is to provide a model for investigating the impact of cloud-based IT systems on green supply chain management.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | cloud computing; energy consumption; green supply chain management; self-service; service cost; sharing and collaboration; user-friendly applications |
| Index terms: | implementation, energy consumption, competitive advantage, complexity, green supply chain management, computing, questionnaire, Likert scale, methodology, collaboration, strategy, cloud computing |
| Subjects: | market analysis, digital infrastructure, sustainable supply chain, systems engineering, management, research methods, energy systems, contractual arrangements, data collection methods, computing systems |
| Topics: | Digital Applications, Supply Chain Management, Organizational Design, Business Strategy, Engineering Principles, Research Practice, Sustainability, Procurement |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here