Big data quality in supply chain performance on competitive advantage


Low, Fei Yee (2016) Big data quality in supply chain performance on competitive advantage. Masters thesis, Multimedia University.

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In this research study, a total of 150 respondents who work in the industry related to supply chains in Malaysia have been selected for conducting data collection via a questionnaire. Two main approaches include descriptive statistics and partial least squares – structural equation modelling are used to analyze the data collected through the survey of questionnaires. From the results of analysis, it provides evidence that the factors of data quality (accuracy, completeness, consistency, and timeliness) and the factors of big data (variety, velocity, and volume) are able to enhance the performance of supply chains. With improvement on the performance of supply chains, it has obviously been shown that competitive advantage can be attained by organizations and they have a competitive edge over their competitors in a particular industry which can be sustained for longer period.

Item Type: Thesis (Masters)
Additional Information: Call No.: QA76.9.B45 L69 2016
Uncontrolled Keywords: Big data
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Management (FOM) > MBA Programme
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 09 Jun 2016 07:57
Last Modified: 09 Jun 2016 07:57


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