M
Manus Rungtusanatham
Researcher at Arizona State University
Publications - 46
Citations - 6036
Manus Rungtusanatham is an academic researcher from Arizona State University. The author has contributed to research in topics: Supply chain & Mass customization. The author has an hindex of 26, co-authored 39 publications receiving 5640 citations. Previous affiliations of Manus Rungtusanatham include York University & Bowling Green State University.
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From Mass Production to Mass Customization: Hindrance Factors, Structural Inertia and Transition Hazard
TL;DR: In this article, a case study of a manufacturing facility belonging to a division of a Fortune 1000 discrete manufacturing firm as it seeks to transition from MP to MC was conducted, and the authors empirically derived five factors hindering the MP-to-MC transition within the research site.
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Physical distribution service performance and Internet retailer margins: The drop-shipping context
TL;DR: In this article, the relationship between Internet retailer margins and retailer promises regarding product distribution service is investigated and the results show that product margins and the margins on shipping and handling are inversely proportional.
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Comparison of Quality Management Practices: Across the Supply Chain and Industries
TL;DR: In this article, the authors compared the quality management practices of manufacturing firms at different levels of the supply chain and across different industries, and found that the automotive industry was more active in strategic quality planning than their counterparts in the electronics industry.
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Toward a Typology of Business Education in the Internet Age
TL;DR: In this article, the authors present a typology consisting of four types of online distance education that can be pursued by institutions of higher education, i.e., overview model, overview model with feedback, technical-skills model, and managerial learning model.
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Pooling Data Across Transparently Different Groups of Key Informants: Measurement Equivalence and Survey Research*
TL;DR: This methodological note draws attention to this particular survey research approach and asks the question: When is it appropriate to pool data provided by key informants with transparently different demographics across units of analysis so as to create a single larger data set for statistical manipulations?