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RFID systems implementation: A study...
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Jones, Alvin.
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RFID systems implementation: A study of a management efficiencies model for RFID to assure product integrity in the supply chain.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
RFID systems implementation: A study of a management efficiencies model for RFID to assure product integrity in the supply chain./
Author:
Jones, Alvin.
Description:
160 p.
Notes:
Source: Dissertation Abstracts International, Volume: 72-06, Section: B, page: .
Contained By:
Dissertation Abstracts International72-06B.
Subject:
Engineering, Industrial. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3449688
ISBN:
9781124573298
RFID systems implementation: A study of a management efficiencies model for RFID to assure product integrity in the supply chain.
Jones, Alvin.
RFID systems implementation: A study of a management efficiencies model for RFID to assure product integrity in the supply chain.
- 160 p.
Source: Dissertation Abstracts International, Volume: 72-06, Section: B, page: .
Thesis (D.B.A.)--Capella University, 2011.
This study addresses the problem of maintaining product integrity in organizations' Radio Frequency Identification (RFID)-enabled supply chains. This research is important for managers and organizations that desire to understand and increase product integrity in their RFID-enabled supply chains. The purpose of this study is to provide an additional framework for analyzing and improving product integrity for organizations with RFID-enabled supply chains. Key research questions are how certain variables are correlated to product integrity in a RFID-enabled supply chain, identifying the relationship among those variables, suggesting any relationships among those variables to increase product integrity and formulating a framework for evaluating future data sets. A mathematical analysis based on standard statistical tests is constructed with standard statistics related to measuring product integrity factors in an RFID-enabled supply chain. The analysis is used with a set of collected survey data to demonstrate its reliability, validity and utility in a pilot study. RFID supply chain characteristics such as product item values are determined in this study as they relate to other variable factors in the RFID-enabled supply chain for the purpose of increasing product integrity and decreasing product adulteration, counterfeiting, intentional diversion and theft. Product integrity factors in the RFID-enabled supply chain consist of tagged items handled, classes of tags used, tag costs, and audit cycles. These potential factors are then analyzed for interrelatedness as the chosen variables depending on implementations of the model. The research design consists of quantitative, non-experimental methods using a survey instrument for data collection and standard statistical analyses such as correlation analysis of several standard null hypotheses tests for statistical significance and regression modeling. Results, recommendations and conclusions were drawn from source data and the model to make suggestions that may result in an increase in product integrity. The results showed that of the variable factors associated with Product Integrity, only one had a statistically significant correlation in the context of the RFID technology used and surveyed from the organizations and thus more complex regression models are necessary and recommended to analyze future data sets.
ISBN: 9781124573298Subjects--Topical Terms:
626639
Engineering, Industrial.
RFID systems implementation: A study of a management efficiencies model for RFID to assure product integrity in the supply chain.
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This study addresses the problem of maintaining product integrity in organizations' Radio Frequency Identification (RFID)-enabled supply chains. This research is important for managers and organizations that desire to understand and increase product integrity in their RFID-enabled supply chains. The purpose of this study is to provide an additional framework for analyzing and improving product integrity for organizations with RFID-enabled supply chains. Key research questions are how certain variables are correlated to product integrity in a RFID-enabled supply chain, identifying the relationship among those variables, suggesting any relationships among those variables to increase product integrity and formulating a framework for evaluating future data sets. A mathematical analysis based on standard statistical tests is constructed with standard statistics related to measuring product integrity factors in an RFID-enabled supply chain. The analysis is used with a set of collected survey data to demonstrate its reliability, validity and utility in a pilot study. RFID supply chain characteristics such as product item values are determined in this study as they relate to other variable factors in the RFID-enabled supply chain for the purpose of increasing product integrity and decreasing product adulteration, counterfeiting, intentional diversion and theft. Product integrity factors in the RFID-enabled supply chain consist of tagged items handled, classes of tags used, tag costs, and audit cycles. These potential factors are then analyzed for interrelatedness as the chosen variables depending on implementations of the model. The research design consists of quantitative, non-experimental methods using a survey instrument for data collection and standard statistical analyses such as correlation analysis of several standard null hypotheses tests for statistical significance and regression modeling. Results, recommendations and conclusions were drawn from source data and the model to make suggestions that may result in an increase in product integrity. The results showed that of the variable factors associated with Product Integrity, only one had a statistically significant correlation in the context of the RFID technology used and surveyed from the organizations and thus more complex regression models are necessary and recommended to analyze future data sets.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3449688
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