NDLI: Industrial Performance Analysis: A Multi-Criteria Model Method

Content Provider	IEEE Xplore Digital Library
Author	Sirikrai, S.B. Tang, J.C.S.
Copyright Year	2006
Description	Author affiliation: Thammasat Bus. Sch., Thammasat Univ., Bangkok (Sirikrai, S.B.; Tang, J.C.S.)
Abstract	Performance of manufacturing industries become a major concern of policy makers and industrialists. Attempts to understand industrial performance encompass two principal questions: how performance is measured and what drives a superior performance. Strategic management scholars assess performance of firms mainly from the financial aspect while operations management and performance measurement researchers employ multi-dimensional indicators. The strategic management literature provides two different theories to explain factors driving the performance of firms: the industrial organization and the resource-based view. The former emphasizes effects of industrial competitive environment but the latter focuses on capabilities of particular firms. The operations management literature asserts that excellence manufacturing processes are drivers of competitive performance. Because of these diverse perspectives, there are authors advocate uses of multiple theories to explain performance but limited work have been done on examining relationship between the drivers and the indicators using multiple perspectives. This paper proposes the use of the analytic hierarchy process (AHP) to examine effects of the performance indicators and the drivers on the overall industrial performance. The automotive components industry is adopted for the model's illustration
Starting Page	2342
Ending Page	2352
File Size	11180695
Page Count	11
File Format	PDF
ISBN	1890843148
DOI	10.1109/PICMET.2006.296822
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-08
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	PICMET
Subject Keyword	Performance analysis Manufacturing industries Industrial relations Financial management Profitability Measurement Automotive components Customer satisfaction Marketing and sales Technology management
Content Type	Text
Resource Type	Article

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