Analysis of students’ online shopping behaviour using a partial least squares approach: Case study of Indonesian students

The emergence of the Internet has influenced business methods in the world, which made online shopping has become popular due to its practical strengths. Students are one of the potential markets of online shopping in Indonesia. This research investigates the factors influencing university students’...

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Autores principales:	Heri Kuswanto, Wildan Bima Hadi Pratama, Imam Safawi Ahmad, Mutiah Salamah
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2019
Materias:	sem-pls online trust risk latent marketing Business HF5001-6182 Management. Industrial management HD28-70
Acceso en línea:	https://doaj.org/article/ff380a0e15b04ccb982f523beede95e9
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spelling	oai:doaj.org-article:ff380a0e15b04ccb982f523beede95e92021-12-02T16:07:36ZAnalysis of students’ online shopping behaviour using a partial least squares approach: Case study of Indonesian students2331-197510.1080/23311975.2019.1699283https://doaj.org/article/ff380a0e15b04ccb982f523beede95e92019-01-01T00:00:00Zhttp://dx.doi.org/10.1080/23311975.2019.1699283https://doaj.org/toc/2331-1975The emergence of the Internet has influenced business methods in the world, which made online shopping has become popular due to its practical strengths. Students are one of the potential markets of online shopping in Indonesia. This research investigates the factors influencing university students’ online shopping behaviour in Surabaya as one of the fastest-growing cities in Indonesia, an important issue that has never been explored. The survey dataset is analyzed by using Structural Equation Modeling-Partial Least Squares (SEM-PLS) as well as PLS Predictive-Oriented Segmentation (PLS-OLS) to group the students based on their online behaviour. Both methods are applied due to the fact that the sample size is relatively small. The analysis shows that the students’ online shopping behaviour is significantly influenced by enjoyment, perceived risk, and social influence. Clustering with PLS-POS leads to three segments of students based on behaviour: those mostly influenced by social influence and perceived risk, those influenced by enjoyment and website quality, and those influenced by website quality and trust and security. These results can be a meaningful knowledge and input for the online business owners in Indonesia in designing their marketing strategy.Heri KuswantoWildan Bima Hadi PratamaImam Safawi AhmadMutiah SalamahTaylor & Francis Grouparticlesem-plsonlinetrustrisklatentmarketingBusinessHF5001-6182Management. Industrial managementHD28-70ENCogent Business & Management, Vol 6, Iss 1 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	sem-pls online trust risk latent marketing Business HF5001-6182 Management. Industrial management HD28-70
spellingShingle	sem-pls online trust risk latent marketing Business HF5001-6182 Management. Industrial management HD28-70 Heri Kuswanto Wildan Bima Hadi Pratama Imam Safawi Ahmad Mutiah Salamah Analysis of students’ online shopping behaviour using a partial least squares approach: Case study of Indonesian students
description	The emergence of the Internet has influenced business methods in the world, which made online shopping has become popular due to its practical strengths. Students are one of the potential markets of online shopping in Indonesia. This research investigates the factors influencing university students’ online shopping behaviour in Surabaya as one of the fastest-growing cities in Indonesia, an important issue that has never been explored. The survey dataset is analyzed by using Structural Equation Modeling-Partial Least Squares (SEM-PLS) as well as PLS Predictive-Oriented Segmentation (PLS-OLS) to group the students based on their online behaviour. Both methods are applied due to the fact that the sample size is relatively small. The analysis shows that the students’ online shopping behaviour is significantly influenced by enjoyment, perceived risk, and social influence. Clustering with PLS-POS leads to three segments of students based on behaviour: those mostly influenced by social influence and perceived risk, those influenced by enjoyment and website quality, and those influenced by website quality and trust and security. These results can be a meaningful knowledge and input for the online business owners in Indonesia in designing their marketing strategy.
format	article
author	Heri Kuswanto Wildan Bima Hadi Pratama Imam Safawi Ahmad Mutiah Salamah
author_facet	Heri Kuswanto Wildan Bima Hadi Pratama Imam Safawi Ahmad Mutiah Salamah
author_sort	Heri Kuswanto
title	Analysis of students’ online shopping behaviour using a partial least squares approach: Case study of Indonesian students
title_short	Analysis of students’ online shopping behaviour using a partial least squares approach: Case study of Indonesian students
title_full	Analysis of students’ online shopping behaviour using a partial least squares approach: Case study of Indonesian students
title_fullStr	Analysis of students’ online shopping behaviour using a partial least squares approach: Case study of Indonesian students
title_full_unstemmed	Analysis of students’ online shopping behaviour using a partial least squares approach: Case study of Indonesian students
title_sort	analysis of students’ online shopping behaviour using a partial least squares approach: case study of indonesian students
publisher	Taylor & Francis Group
publishDate	2019
url	https://doaj.org/article/ff380a0e15b04ccb982f523beede95e9
work_keys_str_mv	AT herikuswanto analysisofstudentsonlineshoppingbehaviourusingapartialleastsquaresapproachcasestudyofindonesianstudents AT wildanbimahadipratama analysisofstudentsonlineshoppingbehaviourusingapartialleastsquaresapproachcasestudyofindonesianstudents AT imamsafawiahmad analysisofstudentsonlineshoppingbehaviourusingapartialleastsquaresapproachcasestudyofindonesianstudents AT mutiahsalamah analysisofstudentsonlineshoppingbehaviourusingapartialleastsquaresapproachcasestudyofindonesianstudents
_version_	1718384757234991104

Analysis of students’ online shopping behaviour using a partial least squares approach: Case study of Indonesian students

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