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http://dx.doi.org/10.9716/KITS.2013.12.3.273

The Development of Performance Evaluation Measures for Logistics Information Systems on the Basis of BSC  

Kang, Hee-Suk ((주)메타넷에스엔씨)
Kim, Sang-Hoon (광운대학교 경영학부)
Publication Information
Journal of Information Technology Services / v.12, no.3, 2013 , pp. 273-287 More about this Journal
Abstract
The objective of this study is to empirically develop performance evaluation measures for LIS (logistics information systems) based upon BSC (balanced scorecard) model and determine the relative importance among four perspectives of BSC using AHP (analytic hierarchy process) methodology. Above all, forty nine probable measures for evaluating LIS performance were identified through reviewing the previous research related with SCM (supply chain management), logistics management, and information systems evaluation. And then, these probable measures were examined by means of coincidence analyses using three mutually exclusive criteria(validity of content, ease of measurement and reliability of measurement). Data for conducting the coincidence analyses were collected from LIS users and LIS development personnel. As the results of the coincidence analyses, it was found that 31 ones among 49 probable performance evaluation measures theoretically derived could be qualified for LIS performance evaluation. And AHP analysis showed that the weight of each perspective was respectively as follows : 46.8% for financial perspective, 31.3% for customer perspective, 14.8% for internal business process perspective, and 7.1% for learning and growth perspective. The academic contribution of this study is that performance evaluation measures for LIS could be systematically and empirically developed on the basis of BSC. Also, the results of this study are expected to be used as a practice guideline of evaluating and improving LIS.
Keywords
LIS(Logistics Information Systems); Performance Evaluation Measures; BSC(Balanced Scorecard); Coincidence Analysis;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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