Reverse logistics activities, the task environment, and performance: Taiwanese 3C retailers

Y. C. Huang, Y. C.Jim Wu, N. J. Chang, N. C. Boulanger

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This study aimed to construct a comprehensive model examining the effects of the task environment on reverse logistics (RL) activities, and the resulting effects on both firm environmental and economic performance. Being the first of its kind to integrate three different literature streams: The task environment, RL activities, and performance, the study attempted to understand their linkages by conducting a large sample survey. Specifically, a questionnaire was adopted to conduct an investigation into the Taiwanese computer, communication, and consumer electronics (3C) retail industry. Based on 284 validated samples and with the use of structural equation modeling, it was found that certain dimensions of the task environment (government, suppliers, and customers) positively and significantly influence RL activities, whereas competitors do not have such influence. Moreover, RL activities positively and significantly influence both environmental and economic performance separately.

Original languageEnglish
Title of host publicationProceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010
Pages258-263
Number of pages6
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010 - QingDao, China
Duration: 2010 Jul 152010 Jul 17

Publication series

NameProceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010

Conference

Conference2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010
Country/TerritoryChina
CityQingDao
Period2010/07/152010/07/17

ASJC Scopus subject areas

  • Information Systems and Management
  • Management Science and Operations Research

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