Product-Counterfeiting can be Controlled in Supply Chains of Automotive Parts Industry

Abstract

The objective of this paper is to compile information that will help researchers and practitioners to use EFA (Exploratory Factor Analysis) in reference to the relevant anti-counterfeiting strategies in supply chain under deceptive buying environment, in order to make prudent decisions according to the “best industry practices” based on ISO (International Organization for Standardization) available in the automotive industry. Product counterfeiting is a worldwide business issue which effect firm’s supply chain (supply chain sustainability) directly or indirectly. The study used a quantitative research design technique where categorical and numerical variables are used to determine relationships among variables where a survey is used as a main research method. Futuristically, the developed instrument using EFA would lead to the CFA (Confirmatory Factor Analysis) to answer questions regarding validity of the instrument in the concerned population subgroups. This empirical study is done after conducting Initial Survey where pilot testing procedure of Initial instrument was followed to make sure that questions asked were good enough (reliability analysis) to capture the impacts of ANCT-INT (Anti-Counterfeiting Strategies Initiative) on the FSP (Firms’ Supply Performance). The Pilot test process of Initial Survey Instrument is conducted prior to an actual data collection (confirmatory survey) stage that can helps researcher in refining the confirmatory survey instrument. The pilot test is conducted under the patronage of PAAPAM (Pakistan Association of Automobile Parts and Accessories Manufacturers) secretariat in Lahore. The participants involved are the Automotive Engineering firms practicing as the permanent PAAPAM member firms.

Authors and Affiliations

Saad Jaffery

Keywords

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  • EP ID EP394642
  • DOI 10.22581/muet1982.1804.12
  • Views 108
  • Downloads 0

How To Cite

Saad Jaffery (2018). Product-Counterfeiting can be Controlled in Supply Chains of Automotive Parts Industry. Mehran University Research Journal of Engineering and Technology, 37(4), 581-610. https://europub.co.uk/articles/-A-394642