Logistics 4.0 measurement model: empirical validation based on an international survey

Research output: Contribution to journalArticleResearchpeer-review

Standard

Logistics 4.0 measurement model: empirical validation based on an international survey. / Dallasega, Patrick; Woschank, Manuel; Sarkis, Joseph; Yaibuathet Tippayawong, Korrakot .

In: Industrial management & data systems, Vol. 122.2022, No. 5, 16.05.2022, p. 1384-1409.

Research output: Contribution to journalArticleResearchpeer-review

Author

Dallasega, Patrick ; Woschank, Manuel ; Sarkis, Joseph ; Yaibuathet Tippayawong, Korrakot . / Logistics 4.0 measurement model: empirical validation based on an international survey. In: Industrial management & data systems. 2022 ; Vol. 122.2022, No. 5. pp. 1384-1409.

Bibtex - Download

@article{50450183c43243c0a24b519ba96dbd42,
title = "Logistics 4.0 measurement model: empirical validation based on an international survey",
abstract = "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. Design/methodology/approach: 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. Findings: 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). Practical implications: 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. Originality/value: 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.",
author = "Patrick Dallasega and Manuel Woschank and Joseph Sarkis and {Yaibuathet Tippayawong}, Korrakot",
note = "Publisher Copyright: {\textcopyright} 2022, Patrick Dallasega, Manuel Woschank, Joseph Sarkis and Korrakot Yaibuathet Tippayawong.",
year = "2022",
month = may,
day = "16",
doi = "10.1108/IMDS-11-2021-0694",
language = "English",
volume = "122.2022",
pages = "1384--1409",
journal = "Industrial management & data systems",
issn = "0263-5577",
publisher = "Emerald Group Publishing Ltd.",
number = "5",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Logistics 4.0 measurement model: empirical validation based on an international survey

AU - Dallasega, Patrick

AU - Woschank, Manuel

AU - Sarkis, Joseph

AU - Yaibuathet Tippayawong, Korrakot

N1 - Publisher Copyright: © 2022, Patrick Dallasega, Manuel Woschank, Joseph Sarkis and Korrakot Yaibuathet Tippayawong.

PY - 2022/5/16

Y1 - 2022/5/16

N2 - 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. Design/methodology/approach: 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. Findings: 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). Practical implications: 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. Originality/value: 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.

AB - 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. Design/methodology/approach: 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. Findings: 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). Practical implications: 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. Originality/value: 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.

UR - http://www.scopus.com/inward/record.url?scp=85131527757&partnerID=8YFLogxK

U2 - 10.1108/IMDS-11-2021-0694

DO - 10.1108/IMDS-11-2021-0694

M3 - Article

VL - 122.2022

SP - 1384

EP - 1409

JO - Industrial management & data systems

JF - Industrial management & data systems

SN - 0263-5577

IS - 5

ER -