Value Creation Through 3PL for Automotive Logistical Excellence

Wen, Chin Lin; Jeng, Schnell; Kisworo, Danang; Wee, Paul; Wee, Hui–Ming

doi:10.1007/978-981-4451-98-7_15

Cited by 1 publication

(1 citation statement)

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“…Recent studies regarding evaluation criteria for 3PL providers in the automotive industry are heavily focused on developed countries (Thamsatitdej et al , 2016; Wen et al , 2013) and there has been little research in developing countries (Guarnieri et al , 2015). While Middle-East countries, particularly Iran, play an important role in the global automotive industry, there is little or no study that tests the importance of service performance and customer satisfaction (related to 3PL selection) in this important market.…”

Section: Introductionmentioning

confidence: 99%

On the importance of service performance and customer satisfaction in third-party logistics selection

Arisian

Pool

Nazarpour

et al. 2019

BIJ

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Purpose Developing strategic relationships with third-party logistics (3PL) providers has long been one of the key challenges in automotive supply chains. The purpose of this paper is to propose a new approach for evaluation and indexing 3PL providers using the Kano model. Design/methodology/approach The statistical population used in this research comprises managers from the Iranian automotive industry. The Kano evaluation approach is used to analyze the data collected and to classify the criteria used in selection of the preferred 3PL providers. Findings The results suggest that the proposed framework, based on the Kano classification, can be a powerful tool for the automotive industry in evaluating 3PL providers. Moreover, the analyses indicate that 3PL providers need to improve their service offering in aspects that are to be found in the Kano model’s requirements, namely, must-be, one-dimensional and attractive. Originality/value This study contributes to the supply chain management literature by being the first to classify selection indices of 3PL providers in the automotive industry using the Kano model.

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Section: Introductionmentioning

confidence: 99%