Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/56636
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dc.contributor.authorRatapol Wudhikarnen_US
dc.date.accessioned2018-09-05T03:28:19Z-
dc.date.available2018-09-05T03:28:19Z-
dc.date.issued2017-04-19en_US
dc.identifier.other2-s2.0-85019187041en_US
dc.identifier.other10.1109/ICDAMT.2017.7904955en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85019187041&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/56636-
dc.description.abstract© 2017 IEEE. The objective of this study is to construct a model of intellectual capital management for improving its traditional management process by using the Delphi method. The research approach has been focused on identifying indicators that are important to the achievements of the business performances with the participatory assessment of several experts in the organization. This has been done for avoiding any bias that might occur from the evaluation by a particular management. The conceptual model of this research has been applied to a real business of which intellectual capital need to be developed, particularly in today's logistics industry. The research results show that the suggested model can help the organization determine the important intellectual capital indicators at suitable numbers in managing logistic business. In addition, the proposed process and results can also be applied to further development in enabling organizations to manage its business within limited resources more efficiently.en_US
dc.subjectArts and Humanitiesen_US
dc.subjectComputer Scienceen_US
dc.titleDetermining key performance indicators of intellectual capital in logistics business using Delphi methoden_US
dc.typeConference Proceedingen_US
article.title.sourcetitle2nd Joint International Conference on Digital Arts, Media and Technology 2017: Digital Economy for Sustainable Growth, ICDAMT 2017en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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