An empirical study to identify and develop constructive model of e-supply chain risks based on Indian mechanical manufacturing industries

• Main Authors: Alok Kumar, Ramesh Kumar Garg, Dixit Garg
• Format: Article
• Language: English
• Published: Growing Science 2019-02-01
• Series: Management Science Letters
• Subjects: Risk issues; Risk management; e-supply chain; Exploratory factor analysis; Confirmatory factor analysis; Indian industries
• Online Access: http://www.growingscience.com/msl/Vol9/msl_2019_29.pdf

Management towards control of risk issues appeared as an important area in E-supply chain for researchers in the present fast growing market. Extensive research has been accomplished in this area, but still there are several risks and uncertainties. The present research aims to identify and consolidate various e-supply risk factors for developing a constructive measurement model. The study also assesses the influence of risk factors over e-supply chain operation in Indian mechanical industries. Thus, after a thorough research and detailed discussion, 38 Risks factors are identified through literature to prepare the questionnaire. A questionnaire based survey is carried out for collecting the primary data from 148 experts of mechanical manufacturing industries located in the national capital region of India. The research methodology is combined with descriptive statistics and factor analysis. SPSS 21 software tools is used for investigating the reliability and Amos Graphics 21 software is used for the fitment validation of the theoretical construct. The results suggest that all risk issues create significant negative influence e-supply chain process. The results also show negative effects of risks over e-supply chain performance. The current research outcome develops a stochastic model based on the e-supply chain risk factors used for reducing risks in e-supply chain operation.