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A literature review on performance measures of logistics management: an intellectual capital perspective
Journal article   Peer reviewed

A literature review on performance measures of logistics management: an intellectual capital perspective

Ratapol Wudhikarn, Nopasit Chakpitak and Gilles Neubert
International Journal of Production Research, Vol.56(13), pp.4490-4520
01/07/2018

Abstract

literature review logistics supply chain management intellectual capital performance measures key performance indicators KPIs
Today, logistics management requires a comprehensive set of performance indicators that measure both tangible assets and intellectual capital (IC) of organisations. Nevertheless, most of the measures used in the past mainly related to the financial aspect, although some specific components of IC, such as process efficiency and effectiveness, have been considered. Logistics literature lacks a comprehensive consideration of the diverse IC measures, and it is unclear which area of IC requires more focus and development. Therefore, to explore and identify an opportunity for improvement, this study reviews the academic literature related to IC measures in logistics management. This literature review considers 111 academic articles published between 1994 and 2016. Following the six dimensions of the IC-Index, all indicators obtained from the literature are classified according to IC elements. The key contribution of this review is that it addresses the following gaps in the literature: the limited adoption of comprehensive IC methods in logistics studies; underdevelopment of specific indicators and measures used; failure to consider all human capital as well as renewal and development elements; and, finally, lack of academic research considering the influences among the different IC elements and logistics and financial performance.
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Collaboration types
International collaboration
Citation topics
6 Social Sciences
6.3 Management
6.3.1691 Performance Management
Web of Science research areas
Engineering, Industrial
Engineering, Manufacturing
Operations Research & Management Science
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