product-counterfeiting can be controlled in supply chains of automotive parts industry
Clicks: 144
ID: 150489
2018
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Emerging Content
2.1
/100
7 views
7 readers
Trending
AI Quality Assessment
Not analyzed
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.
Abstract Quality Issue:
This abstract appears to be incomplete or contains metadata (244 words).
Try re-searching for a better abstract.
| Reference Key |
jaffery2018mehranproduct-counterfeiting
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Saad Jaffery |
| Journal | parkinson's disease |
| Year | 2018 |
| DOI |
10.22581/muet1982.1804.12
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.