Predicting consumer intentions to shop herbal products online: an empirical investigation

The burgeoning market for herbal products in Malaysia along with government support and access to cheaper production methods has led to the production of more and more local herbal products by Small and Medium Enterprises (SMEs). However in contrast to the imported products brought in by large im...

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Main Authors: Mohd Zahran, Muhammad Zaid, Rezai, Golnaz, Mohamed, Zainalabiddin
Format: Conference or Workshop Item
Language:English
Published: 2012
Online Access:http://psasir.upm.edu.my/id/eprint/21081/3/ID%2021081.pdf
http://psasir.upm.edu.my/id/eprint/21081/
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Institution: Universiti Putra Malaysia
Language: English
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spelling my.upm.eprints.210812015-01-22T03:15:07Z http://psasir.upm.edu.my/id/eprint/21081/ Predicting consumer intentions to shop herbal products online: an empirical investigation Mohd Zahran, Muhammad Zaid Rezai, Golnaz Mohamed, Zainalabiddin The burgeoning market for herbal products in Malaysia along with government support and access to cheaper production methods has led to the production of more and more local herbal products by Small and Medium Enterprises (SMEs). However in contrast to the imported products brought in by large importers, the local SMEs have limited capital and resources with which to market and distribute their products, often competing for limited shelf space in stores. The similarly increasing internet use in Malaysia provides a potential solution to this problem. Hence this study sets out to identify the factors which can be used to predict a consumers’ intention to buy an herbal product online using a binary logistic regression model based on the Theory of Planned Behaviour framework. A structured selfadministered questionnaire was distributed via email to internet users residing in Peninsular Malaysia. A total of 1063 users completed the questionnaire. The collected data was then analysed for demographic characteristics and TPB-based factors identified beforehand. The factors which have been found significant in predicting the intention of an average Malaysian to shop online for an herbal product are: Age, Gender, Marital Status, Income, Internet Speed and Experience, Herbal Products Characteristics, Perceived Benefits, Subjective Norm, Payment Method and English Proficiency. The results of the logistic regression model hint that by taking steps such as widening payment options, providing English and Malay version of websites, and gaining good safety and health certifications, among other factors, SMEs could increase the likelihood of consumers to purchase herbal products online. 2012 Conference or Workshop Item NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/21081/3/ID%2021081.pdf Mohd Zahran, Muhammad Zaid and Rezai, Golnaz and Mohamed, Zainalabiddin (2012) Predicting consumer intentions to shop herbal products online: an empirical investigation. In: 2nd International Conference on Management (2nd ICM 2012), 11-12 June 2012, Holiday Villa Beach Resort & Spa, Langkawi, Kedah. (pp. 984-995).
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description The burgeoning market for herbal products in Malaysia along with government support and access to cheaper production methods has led to the production of more and more local herbal products by Small and Medium Enterprises (SMEs). However in contrast to the imported products brought in by large importers, the local SMEs have limited capital and resources with which to market and distribute their products, often competing for limited shelf space in stores. The similarly increasing internet use in Malaysia provides a potential solution to this problem. Hence this study sets out to identify the factors which can be used to predict a consumers’ intention to buy an herbal product online using a binary logistic regression model based on the Theory of Planned Behaviour framework. A structured selfadministered questionnaire was distributed via email to internet users residing in Peninsular Malaysia. A total of 1063 users completed the questionnaire. The collected data was then analysed for demographic characteristics and TPB-based factors identified beforehand. The factors which have been found significant in predicting the intention of an average Malaysian to shop online for an herbal product are: Age, Gender, Marital Status, Income, Internet Speed and Experience, Herbal Products Characteristics, Perceived Benefits, Subjective Norm, Payment Method and English Proficiency. The results of the logistic regression model hint that by taking steps such as widening payment options, providing English and Malay version of websites, and gaining good safety and health certifications, among other factors, SMEs could increase the likelihood of consumers to purchase herbal products online.
format Conference or Workshop Item
author Mohd Zahran, Muhammad Zaid
Rezai, Golnaz
Mohamed, Zainalabiddin
spellingShingle Mohd Zahran, Muhammad Zaid
Rezai, Golnaz
Mohamed, Zainalabiddin
Predicting consumer intentions to shop herbal products online: an empirical investigation
author_facet Mohd Zahran, Muhammad Zaid
Rezai, Golnaz
Mohamed, Zainalabiddin
author_sort Mohd Zahran, Muhammad Zaid
title Predicting consumer intentions to shop herbal products online: an empirical investigation
title_short Predicting consumer intentions to shop herbal products online: an empirical investigation
title_full Predicting consumer intentions to shop herbal products online: an empirical investigation
title_fullStr Predicting consumer intentions to shop herbal products online: an empirical investigation
title_full_unstemmed Predicting consumer intentions to shop herbal products online: an empirical investigation
title_sort predicting consumer intentions to shop herbal products online: an empirical investigation
publishDate 2012
url http://psasir.upm.edu.my/id/eprint/21081/3/ID%2021081.pdf
http://psasir.upm.edu.my/id/eprint/21081/
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