Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/96575
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Industrial and Systems Engineering | - |
dc.creator | Zhou, F | en_US |
dc.creator | He, Y | en_US |
dc.creator | Chan, FTS | en_US |
dc.creator | Ma, P | en_US |
dc.creator | Schiavone, F | en_US |
dc.date.accessioned | 2022-12-07T02:55:29Z | - |
dc.date.available | 2022-12-07T02:55:29Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/96575 | - |
dc.language.iso | en | en_US |
dc.publisher | SAGE Publications | en_US |
dc.rights | © The Author(s) 2022. | en_US |
dc.rights | Creative Commons CC BY: This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). | en_US |
dc.rights | The following publication Zhou, F., He, Y., Chan, F. T. S., Ma, P., & Schiavone, F. (2022). Joint Distribution Promotion by Interactive Factor Analysis using an Interpretive Structural Modeling Approach. SAGE Open, 12(1) is available at https://doi.org/10.1177/21582440221079903. | en_US |
dc.subject | Express logistics | en_US |
dc.subject | Interactive factor analysis | en_US |
dc.subject | Interpretive structural modeling | en_US |
dc.subject | Joint distribution | en_US |
dc.title | Joint distribution promotion by interactive factor analysis using an interpretive structural modeling approach | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 12 | en_US |
dc.identifier.issue | 1 | en_US |
dc.identifier.doi | 10.1177/21582440221079903 | en_US |
dcterms.abstract | With the increasing demand of individual customption and awareness of cost reduction in express delivery organizations, the Chinese express industry faced with serious challenges especially under the background of government’s strict restrictions on environment and transportation. Therefore, a new service mode called joint distruction (JD) is being tried by the logistics industry, which is expected to address the challenges on online shopping. However, the insufficient understanding of JD adoption factors and their complicated interactions blocks the effectively implementation of the joint distribution. This study aims at identifying potential factors for JD adoption and promoting an effective joint distribution by discovering the interactive relationships among addressed factors. Firstly, potential ingredients for the adoption and implementation of JD are summarized from the literature and industrial interviews. Then, 23 variables are selected and classified into as objectives, drivers, barriers and affected operations. The Interpretive Structural Modeling (ISM) approach is then employed to analyze the crucial factors and the mutual influences amongst 23 variables. Finally, a case study is performed to construct the hierarchical structure of factors toward joint distribution adoption using the proposed ISM-modeling steps. The perplex hierarchical co-relationships are also identified by categorizing the driving variables and dependent variables. Results can assist express enterprises to promote the novel joint distribution mode and acheive higher efficiency of logistics operation by better understanding on crucial factors of JD adoption and implementation. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | SAGE open, Jan. 2022, v. 12, no. 1 | en_US |
dcterms.isPartOf | SAGE open | en_US |
dcterms.issued | 2022-01 | - |
dc.identifier.scopus | 2-s2.0-85125876445 | - |
dc.identifier.eissn | 2158-2440 | en_US |
dc.description.validate | 202212 bckw | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | - |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
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21582440221079903.pdf | 374.07 kB | Adobe PDF | View/Open |
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