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Consumer shopping behaviour on the Internet: insights from Malaysia

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Abstract

Shopping on the Internet enables consumers to search for information on products or services and make purchases through direct interaction with online retailers. This study investigates consumer shopping behaviour on the Internet based on four aspects, i.e. the Internet marketing environment, product characteristics, familiarity, and promotional offers. The impact of influencing factors was checked by questionnaire survey, which was then processed and evaluated. Two hundred randomly selected respondents (students and employees in a public higher learning institution in the Federal Territory of Labuan, Malaysia) participated in the survey. Multiple regression analysis was used as a statistical measure to determine the most influential relationship aspect among a series of independent variables of consumer shopping on the Internet. The results revealed that familiarity has a great influence on consumer shopping on the Internet, followed by promotional offers. The assimilation of these aspects, and the empirical examination of the factors that influence consumer shopping on the Internet, advanced understanding of these constructs and their link to dynamic technology deployment for shopping. The paper suggests managerially actionable implications, and future research directions.

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References

  1. Ahmad, N., Omar, A., & Ramayah, T. (2010). Consumer lifestyles and online shopping continuance intention. Business Strategy Series, 11(4), 227–243.

    Article  Google Scholar 

  2. Nielsen (2012). Nielsen global survey of digital’s influence on grocery shopping. Q1 2012.

  3. Malaysian Wireless (2011). Malaysia: 17.5 million Internet users, 5 million on broadband, 10 million on 3G. http://www.malaysianwireless.com/2011/06/malaysia-broadband-3g-users/. Last accessed on 2012-9-18.

  4. Norazah, M. S., & Norbayah, M. S. (2009). Exploring the relationship between perceived usefulness, perceived ease of use, perceived enjoyment, attitude and subscribers’ intention towards using 3G mobile service. Internet Journal, 3(3), 1–11.

    Google Scholar 

  5. Kamarulzaman, Y. (2011). A focus group study of consumer motivations for e-shopping: UK versus Malaysia. African Journal of Business Management, 5(16), 6778–6784.

    Google Scholar 

  6. Odunlami, I. B., & Ogunsiji, A. (2011). Effect of sales promotion as a tool on organizational performance: a case study of sunshine plastic company. Journal of Emerging Trends in Economics and Management Sciences, 2(1), 9–13.

    Google Scholar 

  7. Haque, A., Khatibi, A., & Mahmud, S. A. (2009). Factors determinate customer shopping behaviour through Internet: the Malaysian case. Australian Journal of Basic and Applied Sciences, 3(4), 3452–3463.

    Google Scholar 

  8. Chen, S. J., & Chang, T. Z. (2003). A descriptive model of online shopping process: some empirical results. International Journal of Service Industry Management, 14, 556–569.

    Article  Google Scholar 

  9. Delafrooz, N., Paim, L. H., Haron, S. A., Sidin, S. M., & Khatibi, A. (2009). Factors affecting students’ attitude toward online shopping. African Journal of Business Management, 3(5), 200–209.

    Google Scholar 

  10. Fenech, T., & O’Cass, A. (2001). Internet users’ adoption of web retailing: user and product dimensions. The Journal of Product & Brand Management, 10, 361–381.

    Article  Google Scholar 

  11. Jarvenpaa, S. L., & Todd, P. A. (1997). Consumer reactions to electronic shopping on the World Wide Web. International Journal of Electronic Commerce, 1(2), 59–88.

    Google Scholar 

  12. Karayanni, D. A. (2003). Web-shoppers and non-shoppers: compatibility, relative advantage and demographics. European Business Review, 15(3), 141–152.

    Article  Google Scholar 

  13. Kim, E. Y., & Kim, Y. K. (2004). Predicting online purchases intentions for clothing products. European Journal of Marketing, 38, 883–897.

    Article  Google Scholar 

  14. McKinney, L. (2004). Creating a satisfying Internet shopping experience via atmospheric variables. International Journal of Consumer Studies, 28, 268–283.

    Article  Google Scholar 

  15. Tsai, H. T., & Huang, H. C. (2007). Determinants of e-repurchase intentions: an integrative model of quadruple retention drivers. Information & Management, 44(3), 231–239.

    Article  Google Scholar 

  16. Ahn, T., Ryu, S., & Han, I. (2004). The impact of the online and offline features on the user acceptance of Internet shopping malls. Electronic Commerce Research and Applications, 3(4), 405–420.

    Article  Google Scholar 

  17. Sorce, P., Perotti, V., & Widrick, S. (2005). Attitude and age differences in online buying. International Journal of Retail & Distribution Management, 33(2), 122–132.

    Article  Google Scholar 

  18. Javadi, M. H. M., Dolatabadi, H. R., Nourbakhsh, M., Poursaeedi, A., & Asadollahi, A. R. (2012). An analysis of factors affecting on online shopping behaviour of consumers. International Journal of Marketing Studies, 4(5), 81–98.

    Google Scholar 

  19. Kuo, L. H., Judy, C. C. L., Xiang, Y. W., Hsi, P. L., & Huei, J. Y. (2010). Antecedents and consequences of trust in online product recommendations: an empirical study in social shopping. Online Information Review, 34(6), 935–953.

    Article  Google Scholar 

  20. Boisvert, J., & Burton, S. (2009). The impact of perceived innovativeness, branding strategy and parent brand salience on the reciprocal transfer of core associations. International Journal of Business Excellence, 2(3), 346–359.

    Article  Google Scholar 

  21. Kwek, C. L., Tan, H. P., & Lau, T. C. (2010). Investigating the shopping orientations on online purchase intention in the e-commerce environment: a Malaysian study. Journal of Internet Banking and Commerce, 15(2), 1–22.

    Google Scholar 

  22. Aaker, D. A. (1991). Managing brand equity: capitalizing on the value of a brand name. New York: Free Press.

    Google Scholar 

  23. Norazah, M. S. (2006). A descriptive investigation of Malaysian Internet users’ adoption of online shopping. Asia-Pacific Journal of Information Technology and Multimedia, 3, 127–138.

    Google Scholar 

  24. Haque, A., & Khatibi, A. (2006). The study of the behaviour of Malaysian consumers towards online shopping. Asian Journal of Information Technology, 5(1), 12–19.

    Google Scholar 

  25. Rust, R. T., Zeithaml, V. A., & Lemon, K. N. (2000). Driving customer equity: how customer lifetime value is reshaping corporate strategy. New York: Free Press.

    Google Scholar 

  26. Maenpaa, K., Kale, S. H., Kuusela, H., & Mesiranta, N. (2008). Consumer perceptions of Internet banking in Finland: the moderating role of familiarity. Journal of Retailing and Consumer Services, 15, 266–276.

    Article  Google Scholar 

  27. Man, K. C., Waiman, C., & Vincent, S. L. (2005). Literature derived reference models for the adoption of online shopping. Information & Management, 42, 543–559.

    Google Scholar 

  28. Kim, H. H., & Jihyun, K. (2009). The effect of offline brand trust and perceived Internet confidence on online shopping intention in the integrated multi-channel context. International Journal of Retail & Distribution Management, 37(2), 126–141.

    Article  Google Scholar 

  29. Bruner, G. C., & Kumar, A. (2000). Web commercials and advertising hierarchy-of-effects. Journal of Advertising Research, 40(1/2), 35–43.

    Google Scholar 

  30. Corbitt, B. J., Thanasankit, T., & Yi, H. (2003). Trust and e-commerce: a study of consumer perceptions. Electronic Commerce Research and Applications, 2(3), 203–215.

    Article  Google Scholar 

  31. Kotler, P., & Armstrong, G. (2012). Principles of marketing (14th ed.). New York: Pearson Prentice Hall.

    Google Scholar 

  32. McDaniel, C., Lamb, W. C., & Hair, F. J. (2011). Introduction to marketing (11th ed.). Nashville: South-Western.

    Google Scholar 

  33. Ali, N. E., & Maryam, J. (2012). Studying impacts of sales promotion on consumer’s psychographic variables. Interdisciplinary Journal of Contemporary Research in Business, 3(9), 1278–1288.

    Google Scholar 

  34. Atchariyachanvanich, K., Okada, H., & Sonehara, N. (2006). What keeps online customers repurchasing through the Internet? ACM SIGecom Exchanges, 6(2), 47–57.

    Article  Google Scholar 

  35. Jarvelainen, J. (2007). Online purchase intentions: an empirical testing of a multiple-theory model. Journal of Organizational Computing, 17(1), 53–74.

    Google Scholar 

  36. Khalifa, M., & Limayem, M. (2003). Drivers of Internet shopping. Communications of the ACM, 46(12), 233–239.

    Article  Google Scholar 

  37. Roscoe, J. T. (1975). Fundamental research statistics for the behavioural sciences (2nd ed.). New York: Holt, Rinehart and Winston.

    Google Scholar 

  38. Hair, J. F., Black, B., Babin, B., Anderson, R. E., & Tatham, R. L. (2010). Multivariate data analysis: a global perspective. Upper Saddle River: Pearson Education.

    Google Scholar 

  39. Nunnally, J. C. (1978). Psychometric theory (2nd ed.). New York: McGraw-Hill.

    Google Scholar 

  40. Kim, J., & Forsythe, S. (2010). Factors affecting adoption of product virtualization technology for online consumer electronics shopping. International Journal of Retail & Distribution Management, 38(3), 190–204.

    Article  Google Scholar 

  41. Kim, J. B. (2012). An empirical study on consumer first purchase intention in online shopping: integrating initial trust and TAM. Electronic Commerce Research, 12(1), 125–150.

    Article  Google Scholar 

  42. Anne, M., & Jøsang, A. (2004). Technologies for trust in electronic commerce. Electronic Commerce Research, 4, 9–21.

    Article  Google Scholar 

  43. Castañeda, J. A., & Montoro, F. J. (2007). The effect of Internet general privacy concern on customer behaviour. Electronic Commerce Research, 7(2), 117–141.

    Article  Google Scholar 

  44. Lim, G. G., Kang, J. Y., Lee, J. K., & Lee, D. C. (2011). Rule-based personalized comparison shopping including delivery cost. Electronic Commerce Research and Applications, 10(6), 637–649.

    Article  Google Scholar 

  45. Narayanasamy, K., Rasiah, D., & Tan, T. M. (2011). The adoption and concerns of e-finance in Malaysia. Electronic Commerce Research, 11(4), 383–400.

    Article  Google Scholar 

  46. Norazah, M. S., & Norbayah, M. S. (2007). Online buying innovativeness: effects of perceived value, perceived risk and perceived enjoyment. International Journal of Business and Society, 8(2), 81–93.

    Google Scholar 

  47. Ramanathan, R. (2011). An empirical analysis on the influence of risk on relationships between handling of product returns and customer loyalty in E-commerce. International Journal of Production Economics, 130(2), 255–261.

    Article  Google Scholar 

  48. López-Bonilla, J. M., & López-Bonilla, L. M. (2008). Sensation seeking and e-shoppers. Electronic Commerce Research, 8(3), 143–154.

    Article  Google Scholar 

  49. Ulbrich, F., Christensen, T., & Stankus, L. (2011). Gender-specific on-line shopping preferences. Electronic Commerce Research, 11, 181–199.

    Article  Google Scholar 

  50. Ozok, A. A., & Wei, J. (2010). An empirical comparison of consumer usability preferences in online shopping using stationary and mobile devices: results from a college student population. Electronic Commerce Research, 10(2), 113–137.

    Article  Google Scholar 

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Correspondence to Norazah Mohd Suki.

Appendix: Measurement of items

Appendix: Measurement of items

Construct

Measure

Mean

Internet Marketing Environment

Internet shopping is better than store shopping

3.240

Internet shopping is cheaper than store shopping

3.330

Internet shopping is enjoyable

3.715

Internet shopping provide better customer services

3.155

Product Characteristics

Product that needs physical examination is suitable

3.470

Product that needs sense of sight is not suitable

3.290

Product that needs sense of sound is not suitable

3.320

Product that needs sense of smell & taste is suitable

3.070

Familiarity

Familiar with Internet marketing

3.600

Internet shopping is convenient

3.720

Often shop through Internet

3.660

Confident to shop branded product

3.760

Promotional Offer

Internet marketing provide more promotion

3.350

Price is cheaper than store

3.300

Promotional offer is attractable

2.610

Promotional offer is convincing

3.040

Consumer Shopping Behaviour on the Internet

My past experiences with shopping online is great

3.670

My future expectations with shopping online is good

3.440

I will continue shop online in the future

3.650

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Suki, N.M. Consumer shopping behaviour on the Internet: insights from Malaysia. Electron Commer Res 13, 477–491 (2013). https://doi.org/10.1007/s10660-013-9131-2

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