Ji-Feng Ding

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The purpose of this paper is to apply a fuzzy quality function deployment (QFD) approach to prioritize knowledge management (KM) solutions for an international port in Taiwan. First, the paper examines house of quality (HOQ) matrices to facilitate handling of the ‘what’ (i.e., KM requirements) and ‘how’ (KM solutions) aspects of the QFD problem, and(More)
The aim purpose of this paper is to empirically study the assessment of customer relationship management (CRM) for global shipping carrier-based logistics service providers (GSLPs) in Taiwan. At first, an evaluation framework integrated three methods and with combination of three stages questionnaires is developed. Three methods are threshold and importance(More)
A good hub centre will effectively help expand agglomeration economy effects and increase competitive advantages for global shipping carrier-based logistics service providers (GSLPs). Hence, the selection of hub location of logistics centre is very important for the GSLP companies. In light of this, the main purpose of this paper is to develop an integrated(More)
Faced with market environment of high-level changes, the maritime industry is required to generate high sensitivity to external dynamics while developing own abilities in response to market demand to achieve performance excellence for businesses. The study consolidated relevant literature and suggested that: “the integration of supply chain refers to an(More)
There are many accidents and risks occurred in many activities of operational systems at exclusive container terminals (ECTs) of Kaohsiung port in Taiwan. The container operators nowadays are facing great competitions on how reducing risks to manage those operational systems and activities at Kaohsiung port. Hence, the main purpose of this paper is to apply(More)
This paper proposes a multiple criteria decision making (MCDM) model for the risk evaluation of plant locations of foreign direct investment (FDI). Finally, a case study of Taiwanese FDI in China is conduced to demonstrate the effectiveness of the proposed MCDM model. The results show that the proposed MCDM model can be used to explain the plant location(More)