Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/63150
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dc.titleImpact of Six Sigma implementation on stock price performance
dc.contributor.authorGoh, T.N.
dc.contributor.authorLow, P.G.
dc.contributor.authorTsui, K.L.
dc.contributor.authorXie, M.
dc.date.accessioned2014-06-17T07:00:47Z
dc.date.available2014-06-17T07:00:47Z
dc.date.issued2003-09
dc.identifier.citationGoh, T.N., Low, P.G., Tsui, K.L., Xie, M. (2003-09). Impact of Six Sigma implementation on stock price performance. Total Quality Management and Business Excellence 14 (7) : 753-763. ScholarBank@NUS Repository.
dc.identifier.issn14783363
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/63150
dc.description.abstractThere have been many reported successful cases of Six Sigma implementation in the past few years. As stock price performance is one of the realistic criteria for business performance, two studies are presented in this paper in this regard. One is stock prices' reaction on the day when Six Sigma activities were made known publicly, and the other is the long-run stock performance of 'Six Sigma companies'. The abnormal returns on the event day are evaluated in terms of three models, namely mean adjusted, market adjusted and market models. A full sample consists of 20 announcements, and two sub-samples with four announcements and 16 announcements each were analysed. The result shows that the abnormal returns are not significant on the event day. A study on six firms shows that, in the long-run, stock performance of Six Sigma companies did not significantly outperform S&P 500. This analysis of stock price performance would help set a realistic expectation of Six Sigma benefits. It offers an alternative perspective on the impact of Six Sigma on a macro scale, rather than the common project-by-project performance measures such as defect minimization and immediate cost savings.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1080/1478336032000090969
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.sourcetitleTotal Quality Management and Business Excellence
dc.description.volume14
dc.description.issue7
dc.description.page753-763
dc.description.codenTQMAE
dc.identifier.isiut000184905700001
Appears in Collections:Staff Publications

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