A Selection of Barrier Factors Affecting Reverse Logistics Performance of Thai Electronic Industry

Abstract

The aim of research is to identify and select various significant barriers affecting Reverse Logistics (RL) performance in Thai Electronic Industry. The work utilizes Structure Equation Modeling (SEM) to empirically validate the relation of barrier to RL performance based on path analysis and Confirmation Factor Analysis (CFA) of SEM. The questionnaire to investigate barriers and RL performance are developed by using a literature review of international research works. The survey has been carried out on mostly large and medium size electronic companies with running operations more than 10 years and located in Thailand. The 67 responses can be obtained and formulate the SEM model for testing and analysis. The hypotheses were tested in which Barriers was directly, indirectly negatively associated with RL performance. After the modification of SEM model according to fit indices, it was shown that 29 barriers are found statistically significant in this empirically study. These barriers can be categorized into eight groups. Such barriers are Management barrier, Organization barrier, Product barrier, Technological barrier, Infrastructural barrier, Financial barrier, Involvement and Support barrier and Legal barrier. The research finding gives priority to enhancement in RL practices in electronic industry to establish effective RL projects as a crucial strategy to meet the environment awareness in global trends.

Sustainable Reverse Logistics Implementation with Triple Bottom Line Approach

“…This can run according to the procedure if it is supported by commitment from top management (S Agrawal 2019;Piyachat, 2017;Waqas et al, 2018) . Meanwhile, external barriers require an efficient and effective system to monitor returns and withdrawals (Jindal & Sangwan 2011;Kiatcharoenpol 2020) . With infrastructure facilities to support the implementation of reverse logistics (S Agrawal 2019; Kiatcharoenpol 2020) .…”

Analyzing the Barriers to Reverse Logistics (RL) Implementation: A Hybrid Model Based on IF-DEMATEL-EDAS

“…The identified barriers were categorized as, Management barrier, Organization barrier, Product barrier, Technological barrier, Infrastructural barrier, Financial barrier, Involvement and Support barrier and Legal barrier. Kiatcharoenpol & Sirisawat [31], in their study, took into consideration the selection of possible barriers as well as factors likely to affect the performance of reverse logistics by taking into consideration the Thai Electronic Industry as a case study. The classical technique gave a good performance value.…”

Modelling reverse e-logistics’ factors

“…Nevertheless, in some cases, conflicting rules are considered disadvantageous to REL performance if companies fail to realise the importance of such existing laws (Govindan & Bouzon, 2018). Efficient REL is an indispensable part of the green supply chain management (GSCM) success, and it is the method used to have environmental sustainability (Kiatcharoenpol & Sirisawat, 2020). For GSCM to succeed, REL performance and processes must be efficient because of a significant relationship between REL performance and GSCM sustainability (Chan, Man, Fang & Campbell, 2020).…”