Next Article in Journal
A Research on the Combination of Oblique Photography and Mobile Applications Based on the Sustainable Development of Tourism
Next Article in Special Issue
Development of a Web Application Based on Human Body Obesity Index and Self-Obesity Diagnosis Model Using the Data Mining Methodology
Previous Article in Journal
Multi-Depot Green Vehicle Routing Problem to Minimize Carbon Emissions
Previous Article in Special Issue
Implementation of Detection System for Drowsy Driving Prevention Using Image Recognition and IoT
Article

Intention to Use Sustainable Green Logistics Platforms

1
Department of Global Trade, Dongguk University, Pildong-ro 1gil 30 Jung-gu, Seoul 04620, Korea
2
Department of International Trade, Dongguk University, Pildong-ro 1gil 30 Jung-gu, Seoul 04620, Korea
3
Department of Buddhist Studies, Dongguk University-Gyeongju, 123, Dongdae-ro, Gyeongju-si, Gyeongsangbuk-do 38066, Korea
4
Department of Global Economics and Commerce, Dongguk University-Gyeongju, 123, Dongdae-ro, Gyeongju-si, Gyeongsangbuk-do 38066, Korea
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(8), 3502; https://0-doi-org.brum.beds.ac.uk/10.3390/su12083502
Received: 11 March 2020 / Revised: 16 April 2020 / Accepted: 21 April 2020 / Published: 24 April 2020
(This article belongs to the Special Issue Big Data for Sustainable Anticipatory Computing)
Recently, logistics platforms that facilitate interaction and the exchange and transaction of information have quickly emerged in the Korean domestic market. In order to further advance the development of logistics platforms into green logistics platforms in which participation in the early stages is not active, appropriate checks and balances are needed so that service providers, users, and platform operators can grow together in green logistics platforms. The purpose of this study is to empirically verify the factors affecting participants’ intentions to use green logistics platforms. Out of the 230 questionnaires distributed from 25 June to 11 July 2019, 14 were excluded from analyses due to unsatisfactory responses, while 216 responses were used for statistical processing. The structural equation model (SEM) was used to test hypotheses in this research. The results showed that the network effect and security factors influenced perceived usefulness, and trust did not affect perceived usefulness. Perceived usefulness also significantly influenced the intention to use green logistics platforms. The results of this study present strategies and directions for the future development of green logistics platforms. View Full-Text
Keywords: green logistics; intention to use; perceived usefulness; logistics platform green logistics; intention to use; perceived usefulness; logistics platform
Show Figures

Figure 1

MDPI and ACS Style

Kwak, S.-Y.; Cho, W.-S.; Seok, G.-A.; Yoo, S.-G. Intention to Use Sustainable Green Logistics Platforms. Sustainability 2020, 12, 3502. https://0-doi-org.brum.beds.ac.uk/10.3390/su12083502

AMA Style

Kwak S-Y, Cho W-S, Seok G-A, Yoo S-G. Intention to Use Sustainable Green Logistics Platforms. Sustainability. 2020; 12(8):3502. https://0-doi-org.brum.beds.ac.uk/10.3390/su12083502

Chicago/Turabian Style

Kwak, Su-Young, Woo-Sung Cho, Gil-Am Seok, and Seung-Gyun Yoo. 2020. "Intention to Use Sustainable Green Logistics Platforms" Sustainability 12, no. 8: 3502. https://0-doi-org.brum.beds.ac.uk/10.3390/su12083502

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop