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This study aims to provide a measurement model, and the underlying constructs and items, for Logistics 4.0 in manufacturing companies. Industry 4.0 technology for logistics processes has been termed Logistics 4.0. Logistics 4.0 and its elements have seen varied conceptualizations in the literature. The literature has mainly focused on conceptual and theoretical studies, which supports the notion that Logistics 4.0 is a relatively young area of research. Refinement of constructs and building consensus perspectives and definitions is necessary for practical and theoretical advances in this area.

Based on a detailed literature review and practitioner focus group interviews, items of Logistics 4.0 for manufacturing enterprises were further validated by using a large-scale survey with practicing experts from organizations located in Central Europe, the Northeastern United States of America and Northern Thailand. Exploratory and confirmatory factor analyses were used to define a measurement model for Logistics 4.0.

Based on 239 responses the exploratory and confirmatory factor analyses resulted in nine items and three factors for the final Logistics 4.0 measurement model. It combines “the leveraging of increased organizational capabilities” (factor 1) with “the rise of interconnection and material flow transparency” (factor 2) and “the setting up of autonomization in logistics processes” (factor 3).

Practitioners can use the proposed measurement model to assess their current level of maturity regarding the implementation of Logistics 4.0 practices. They can map the current state and derive appropriate implementation plans as well as benchmark against best practices across or between industries based on these metrics.

Logistics 4.0 is a relatively young research area, which necessitates greater development through empirical validation. To the best of the authors knowledge, an empirically validated multidimensional construct to measure Logistics 4.0 in manufacturing companies does not exist.

The purpose of this paper is to investigate and develop a framework of the performance evaluation of tourism supply chain management (SCM) for the case of Thailand.

The performance measurement of tourism SCM was based upon the eight dimensions of service performance, namely order process management (OPM), supplier relationship management (SRM), service performance management (SPM), capacity and resources management, customer relationship management, demand management (DM), information and technology management, tour finance supply chain. Data were collected from 195 samples of experts of each component of the supply chain to identify the weight pairwise and criteria on each tourism component. The study also adopted analytical hierarchy process (AHP) technique to rank the dimensions of service performance for searching the suitable performance measurement.

The results showed that there are both similarities and differences in each tier. Among the eight dimensions subject to this measurement, OPM, SPM and SRM are ranked as 1, 2 and 3, respectively, in tourism supply chain.

One limitation should be considered. As the results of this performance measurement are drawn from sole perspectives of the tourism-business operators, these are probably different from those of the tourists.

The contribution of this study is another effective performance measurement which is expected to benefit the evaluation of tourism supply chain for Thai tourism industry.