International Science Index


16206

Effect of Consumer Demographic Factors on Purchasing Herbal Products Online in Malaysia

Abstract:

The availability of broadband internet and increased access to computers has been instrumental in the rise of internet literacy in Malaysia. This development has led to the adoption of online shopping by many Malaysians. On another note, the Government has supported the development and production of local herbal products. This has resulted in an increase in the production and diversity of products by SMEs. The purpose of this study is to evaluate the influence of the Malaysian demographic factors and selected attitudinal characteristics in relation to the online purchasing of herbal products. In total, 1054 internet users were interviewed online and Chi-square analysis was used to determine the relationship between demographic variables and different aspects of online shopping for herbal products. The overall results show that the demographic variables such as age, gender, education level, income and ethnicity were significant when considering the online shopping antecedents of trust, quality of herbal products, perceived risks and perceived benefits.

References:


[1] A. K. Azizol, and M.A. Rasadah, “Medicinal plants in Malaysia: their potential and utilization. In M.N.B. Nair, Mohd Hamami Sahri & Zaidon Ashaari, ed. Sustainable management of non-wood forest products,” Proceedings of an International Workshop held at Universiti Putra Malaysia, Serdang,October 1997,Serdang Universiti Putra Malaysia Press. , pp.14-17, 1998.
[2] A. Bhatnagar, and S, Ghosh, “A latent class segmentation analysis of EShoppers,” Journal of Business Research, vol. 57, no. 7, pp. 758-767, 2004.
[3] CRN. “Dietary Supplements: Safe, Regulated and Beneficial,” Nutritional Business Journal, 2001.
[4] B. N. Farah, and M. A. Higby. “E-commerce and privacy: Conflict and opportunity,” Journal of Education for Business, pp. 303 –307, 2001.
[5] E. Garbarino, and M. Strabilevitz. “Gender Differences in the Perceived Risk of Buying Online and the Effects of Receiving a Site Recommendation,” Journal of Business Research, Vol. 57, pp. 768- 75, 2004.
[6] P. Gardiner, R. Graham, A. T. Legedza, A. C. Ahn, D. M. Eisenberg, and R. S. Phillips. “Factors associated with herbal therapy use by adults in the United States.” Altern Ther Health Med. 13, pp. 22–29, 2007.
[7] P. Gardiner, R.E. Graham, A.Y. Legedza, D.M. Eisenberg, and R.S. Phillips. “Factors associated with dietary supplement use among prescription medication users.” Arch Intern Med. 166, 1968–1974, 2006.
[8] S. Grabner-Krauter, and E. A. Kaluscha. “Empirical research in on-line trust: a review and critical assessment,” International Journal of Human-Computer Studies, Vol. 58, pp. 783-812, 2003.
[9] M. Limayem, M. Khalifa, and A. Frini. “What Makes Consumers Buy From Internet? A Longitudinal Study of Online Shopping,” IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, Vol. 30, No. 4, pp. 421-432, 2000.
[10] D. H. McKnight, and N. L. Chervany. “What Trust Means in Ecommerce Customer Relationships: An Interdisciplinary Conceptual Typology,” International Journal of Electronic Commerce, Vol. 6, No. 2, pp. 35-59, 2001.
[11] D. H. McKnight, C. Vivek, and K. Charles. “The impact of initial consumer trust on intentions to transact with a web site: A trust building model.” Journal of Strategic Information Systems, Vol 11, pp. 297-323, 2002.
[12] MITI. “Third Industrial Master Plan (IMP3) 2006 – 2020,” pp 489 – 517. Available at: http://www.miti.gov.my/cms/documentstorage/com.tms.cms.document. Document_879bae59-c0a81573-1bef1bef-926c5327/chapter14_25.pdf (Retrieved at March 2012)
[13] MITI. “Third Industrial Master Plan (IMP3) 2006 – 2020,” pp 405 - 420. Available at: http://www.miti.gov.my/cms/documentstorage/com.tms.cms.document. Document_879bae59-c0a81573-1bef1bef-926c5327/chapter14_25.pdf (Retrieved at March 2012)
[14] M. N. Mohd Satefarzi, and P. Mansor. “Status Penggunaan Herba oleh Pengilang Tempatan dan Potensi Penanaman di Malaysia.” Proceedings of the Seminar on Medicinal &Aromatic Plants, pp.112–119, 2001.
[15] J. Park, D. Lee, and J. Ahn. “Risk-Focused E-Commerce Adoption Model: a Cross-Country Study,” Journal of Global Information Management, Vol. 7, pp. 6-30, 2004.
[16] P. Pavlou. “Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance model,” International Journal of Electronic Commerce, Vol 7, No 3, pp. 01- 134, 2003.
[17] G. Pires, J. Stanton, and A. Eckford. “Influences on the Perceived Risk of Purchasing Online.” Journal of Consumer Behavior, Vol. 4, No. 2, pp.118-131, 2004.
[18] Roberts, W. “Prepared Foods August 2009.” Available at: http://www.preparedfoods.com/articles/article-benefiting-beveragesaugust- 2009 (Retrieved at September 2011)
[19] S. Rodgers, and M, Harris. “Gender and e-commerce: An exploratory study,” Journal of Advertising Research , pp. 322-329, September 2003.
[20] J. C. Sipior, B. T. Bard, and N. M. Rongione. “Ethics of collecting and using consumer internet data,” Information System Management, Vol 21, No1, pp. 58–66, 2004.
[21] Z. M. Siti, A. Tahir, A.I. Farah and et al. “Use of traditional and complementary medicine in Malaysia: a baseline study,” Cancer Research , pp. 292-299, 2009.
[22] C. V. Slyke, C. L. Comunale, and F. Belanger. “Gender Differences in Perceptions of Web-Based Shopping,” Communications of the ACM, Vol. 45, No. 7, 82-86, 2002.
[23] G. K. Sonja, and A. K. Ewald. “Empirical research in on-line trust: a review and critical assessment,” International Journal of Human- Computer Studies, Vol 586, pp. 783 – 812, 2003.
[24] A. Tahir, S. Sondi, A.H. Azman, A.H. Maimunah, M.A. Haniza, H. Siti, and et al. “The utilization of traditional and complementary medicine in the Malaysian population: a community based survey.” in press, 2009.
[25] WHO. “Legal status of traditional medicine and complementary.” Alternative medicine a worldwide review, 2002.
[26] R. Yatim. “The Malaysian Insider”, (14 December, 2010). Available at: http://www.theMalaysianinsider.com/Malaysia/article/rais-broadbandpenetration- has- exceeded-55pc/ (Retrieved at April 2012)
[27] L. Zhou, L. Dai, and D. Zhang. “Online shopping acceptance model – a critical survey of consumer factors in online shopping,” Journal of Electronic Commerce Research, Vol 8, No 1, pp. 41-62, 2007.
[28] IDC. (2010). Instructor Development Course IDC in Malaysia Annually Report.