1. Adjei, M. T., Noble, S. M., & Noble, C. H. (2010). The influence of C2C communications in online brand communities on customer purchase behavior. Journal of the Academy of Marketing Science, 38(5), 634–653. https://doi.org/10.1007/s11747-009-0178-5
2. Alba, J. W., & Williams, E. F. (2013). Pleasure principles: A review of research on hedonic consumption. Journal of Consumer Psychology, 23(1), 2–18. https://doi.org/10.1016/j.jcps.2012.07.003
3. Almousa, M. (2011). Perceived Risk in Apparel Online Shopping : A Multi Dimensional Perspective. 7(2), 23–31.
4. Ariff, M. S. M., Sylvester, M., Zakuan, N., Ismail, K., & Ali, K. M. (2014). Consumer perceived risk, attitude and online shopping behaviour; Empirical evidence from Malaysia. IOP Conference Series: Materials Science and Engineering, 58(1), 0–10. https://doi.org/10.1088/1757-899X/58/1/012007
5. Assael, H. (1995). Consumer Behavior and Marketing Action. 5-th ed. South-Western College Publishing, 7.
6. Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun : measuring hedonic and utilitarian shopping value. Journal of Consumer Research, 20(4), 644–656.
7. Bakker, I., van der Voordt, T., Vink, P., & de Boon, J. (2014). Pleasure, Arousal, Dominance: Mehrabian and Russell revisited. Current Psychology, 33(3), 405–421. https://doi.org/10.1007/s12144-014-9219-4
8. Batra, R., & Ahtola, O. T. (1991). Measuring the hedonic and utilitarian sources of consumer attitudes. Marketing Letters, 2(2), 159–170. https://doi.org/10.1007/BF00436035
9. Burns, N., & Grove, S. K. (2005). The Practice of Nursing Research: Conduct, Critique and Utilization. (5th Editio). St Louis.MI: Elsevier Saunders.
10. Business Lab. (2012). The ageing marketplace : how some companies are successfully addressing the needs of the older consumer , whilst others are struggling to access this expanding market. ActiveAge, (March), 18. Retrieved from http://www.activeage.org/publications/doc_download/73-the-ageing-marketplace-how-some-companies-are-successfully-addressing-the-needs-of-the-older-consumer-whilst-others-are-struggling-to-access-this-expanding-market
11. Büttner, O. B., Florack, A., & Göritz, A. S. (2014). Shopping orientation as a stable consumer disposition and its influence on consumers’ evaluations of retailer communication. European Journal of Marketing, 48(5–6), 1026–1045. https://doi.org/10.1108/EJM-04-2012-0210
12. Calvo-porral, C., & Lévy-mangin, J. (2018). Journal of Retailing and Consumer Services From “ foodies ” to “ cherry-pickers ” : A clustered-based segmentation of specialty food retail customers. Journal of Retailing and Consumer Services, 43(January), 278–284. https://doi.org/10.1016/j.jretconser.2018.04.010
13. Chang, H. H., & Chen, S. W. (2008). The impact of online store environment cues on purchase intention: Trust and perceived risk as a mediator. Online Information Review, 32(6), 818–841. https://doi.org/10.1108/14684520810923953
14. Chatterjee, P. (2001). Chatterjee, Patrali. Robotics Automation Magazine, 18(2), 129–134.
15. Chebat, J. C., & Michon, R. (2003). Impact of ambient odors on mall shoppers’ emotions, cognition, and spending: A test of competitive causal theories. Journal of Business Research, 56(7), 529–539. https://doi.org/10.1016/S0148-2963(01)00247-8
16. Chen, Y., Hsu, I., & Lin, C. (2010). Website attributes that increase consumer purchase intention : A conjoint analysis. Journal of Business Research, 63(9–10), 1007–1014. https://doi.org/10.1016/j.jbusres.2009.01.023
17. Chia, J., Harun, A., Wahid, A., Kassim, M., Martin, D., & Kepal, N. (2016). Understanding Factors That Influence House Purchase Intention Among Consumers in Kota Kinabalu : an Application of Buyer Behavior Model Theory. Journal of Technology Management and Business, 3(2).
18. Close, A. G., & Kukar-kinney, M. (2010). Beyond buying : Motivations behind consumers ’ online shopping cart use. Journal of Business Research, 63(9–10), 986–992. https://doi.org/10.1016/j.jbusres.2009.01.022
19. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008
20. Delafrooz, N., Paim, L. H., & Khatibi, A. (2011). Understanding consumer’s internet purchase intention in Malaysia. African Journal of Business Management, 5(7), 2837–2846. https://doi.org/10.5897/AJBM10.1266
21. Deng, Z., Lu, Y., Kee, K., & Zhang, J. (2010). International Journal of Information Management Understanding customer satisfaction and loyalty : An empirical study of mobile instant messages in China. International Journal of Information Management, 30(4), 289–300. https://doi.org/10.1016/j.ijinfomgt.2009.10.001
22. Dinkins, J. M. (1993). Expenditures of younger and older baby boomers. Family Economics Review, 6(2), 2–7.
23. Donovan, R., & Rossiter, J. (1982). Store atmosphere: an environmental psychology approach. Journal of Retailing, 58(1), 34–57.
24. Doolin, B., & Dillon, S. (2002). Perceived Risk and the Internet Shopping Experience in Online Purchasing.
25. Fandos, C., & Flavián, C. (2006). Intrinsic and extrinsic quality attributes, loyalty and buying intention: An analysis for a PDO product. British Food Journal, 108(8), 646–662. https://doi.org/10.1108/00070700610682337
26. Finn, M., Elliott-White, M., & Walton, M. (2010). Tourism Leisure Research Methods: Data Collection, Analysis and Interpretation. In African Journal of Business Management (Vol. 4). Retrieved from http://lib.exeter.ac.uk/record=b1657167~S6
27. Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley.
28. Forsythe, S. M., & Shi, B. (2003). Consumer patronage and risk perceptions in Internet shopping. Journal of Business Research, 56(11), 867–875. https://doi.org/10.1016/S0148-2963(01)00273-9
29. Ghauri, P., & Gronhaug, K. (2005). Business Research Methods in Business Studies: A Practical Guide (2nd ed.). Sydney: Prentice Hall.
30. Ghazali, E. M., Mutum, D. S., Chong, J. H., & Nguyen, B. (2018). Do consumers want mobile commerce? A closer look at M-shopping and technology adoption in Malaysia. Asia Pacific Journal of Marketing and Logistics, 30(4), 1064–1086. https://doi.org/10.1108/APJML-05-2017-0093
31. Gretton, C., & Honeyman, M. (2016). The digital revolution: eight technologies that will change health and care. Retrieved from The King’s Fund website: https://www.kingsfund.org.uk/publications/eight-technologies-will-change-health-and-care
32. Gruen, T. W., Osmonbekov, T., & Czaplewski, A. J. (2006). eWOM : The impact of customer-to-customer online know-how exchange on customer value and loyalty. 59, 449–456. https://doi.org/10.1016/j.jbusres.2005.10.004
33. Han, H., & Kim, Y. (2010). International Journal of Hospitality Management An investigation of green hotel customers ’ decision formation : Developing an extended model of the theory of planned behavior. International Journal of Hospitality Management, 29(4), 659–668. https://doi.org/10.1016/j.ijhm.2010.01.001
34. Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? Journal of Interactive Marketing, 18(1), 38–52. https://doi.org/10.1002/dir.10073
35. Holbrook, M. B., & Hirschman, E. C. (1982). The Experiential Aspects of Consumption: Consumer Fantasies, Feeiings, and Fun for their helpful comments on an earlier draft. Journal of Consumer Research, 9(2), 132–140.
36. Icek, A. (1991). The Theory of Planned Behavior Organizational Behavior and Human Decision Processes. Organizational Behavior and Human Decision Processes, 50(2), 179–211.
37. Izquierdo-Yusta, A., & Newell, S. J. (2011). Consumer beliefs and motivations that influence repeat online purchases. International Journal of Electronic Marketing and Retailing, 4(4), 270–292. https://doi.org/10.1504/IJEMR.2011.045611
38. Jalilvand, M. R., & Samiei, N. (2012). The effect of electronic word of mouth on brand image and purchase intention: An empirical study in the automobile industry in Iran. Marketing Intelligence and Planning, 30(4), 460–476. https://doi.org/10.1108/02634501211231946
39. Jiang, L. (Alice), Yang, Z., & Jun, M. (2013). Measuring consumer perceptions of online shopping convenience. Journal of Service Management, 24(2), 191–214. https://doi.org/10.1108/09564231311323962
40. Kamalul Ariffin, S., Mohan, T., & Goh, Y. N. (2018). Influence of consumers’ perceived risk on consumers’ online purchase intention. Journal of Research in Interactive Marketing, 12(3), 309–327. https://doi.org/10.1108/JRIM-11-2017-0100
41. Kaur, G., & Khanam Quareshi, T. (2015). Factors obstructing intentions to trust and purchase products online. Asia Pacific Journal of Marketing and Logistics, 27(5), 758–783. https://doi.org/10.1108/APJML-10-2014-0146
42. Kim, J., & Lennon, S. J. (2013). Effects of reputation and website quality on online consumers’ emotion, perceived risk and purchase intention: Based on the stimulus-organism-response model. Journal of Research in Interactive Marketing, 7(1), 33–56. https://doi.org/10.1108/17505931311316734
43. Ko, H., Jung, J., Kim, J., & Shim, S. W. (2004). Cross-Cultural Differences in Perceived Risk of Online Shopping. Journal of Interactive Advertising, Vol. 4, pp. 20–29. https://doi.org/10.1080/15252019.2004.10722084
44. KPMG. (2017). The truth about online consumers: 2017 Global Online Consumer Report. KPMG International Cooperative, 17–23. https://doi.org/10.1038/scientificamericanmind0509-54
45. Krishnamurthy, S., & Dou, W. (2008). Note from Special Issue Editors. Journal of Interactive Advertising, 8(2), 1–4. https://doi.org/10.1080/15252019.2008.10722137
46. Kumar, A., & Kashyap, A. K. (2018). Leveraging utilitarian perspective of online shopping to motivate online shoppers. International Journal of Retail and Distribution Management, 46(3), 247–263. https://doi.org/10.1108/IJRDM-08-2017-0161
47. Kun Shan, W., & Yi-Man Teng. (2011). Applying the extended theory of planned behavior to predict the intention of visiting a green hotel. African Journal of Business Management, 5(17), 7579–7587. https://doi.org/10.5897/ajbm11.684
48. Laroche, M. (2010). Advances in internet consumer behavior and marketing strategy: Introduction to the special issue. Journal of Business Research, 63(9–10), 1015–1017. https://doi.org/10.1016/j.jbusres.2009.06.010
49. Lee, S., Ha, S., & Widdows, R. (2011). Consumer responses to high-technology products: Product attributes, cognition, and emotions. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2011.06.022
50. Mansori, S., Liat, C. B., & Shan, L. H. (2012). A study of e-shopping intention in Malaysia: The influence of generation X & Y. Australian Journal of Basic and Applied Sciences, 6(8), 28–35.
51. Masoud, E. Y. (2013). The Effect of Perceived Risk on Online Shopping in Jordan. 5(6), 76–88.
52. MCMC. (2018). Internet users survey 2018: Statistical brief number twenty-three. Internet Users Survey 2018, 1–39. Retrieved from https://www.mcmc.gov.my/skmmgovmy/media/General/pdf/Internet-Users-Survey-2018.pdf
53. MiDEC. (2018). Top 10 e-commerce sites in Malaysia 2018. Retrieved September 3, 2020, from https://midec.my/top-10-e-commerce-sites-in-malaysia-2018/
54. Mitchell, V. (1999). Consumer perceived risk: conceptualisations and models. European Journal of Marketing, 33(1/2), 163–195. https://doi.org/10.1108/03090569910249229
55. Moschis, G., Ferguson, J., & Meng, Z. (2011). Mature consumers’ selection of apparel and footwear brands and department stores. International Journal of Retail & Distribution Management, 39(10), 785–801. https://doi.org/10.1108/09590551111162266
56. Moschis, G. P. (1992). Gerontographics: a Scientific Approach to Analyzing and Targeting the Mature Market. Journal of Services Marketing, 6(3), 17–26.
57. Mou, J., & Shin, D. (2018). Effects of social popularity and time scarcity on online consumer behaviour regarding smart healthcare products: An eye-tracking approach. Computers in Human Behavior, 78, 74–89. https://doi.org/10.1016/j.chb.2017.08.049
58. Mulpuru, S., Sehgal, V., Evans, P. F., & Roberge, D. (2011). US online retail forecast, 2010 to 2015e. Retrieved September 3, 2020, from www.forrester.com
59. Mummalaneni, V. (2005). An empirical investigation of Web site characteristics, consumer emotional states and on-line shopping behaviors. Journal of Business Research, 58(4), 526–532. https://doi.org/10.1016/S0148-2963(03)00143-7
60. Peng, C., & Kim, Y. G. (2015). Application of the Stimuli-Organism- Response ( S-O-R ) Framework to Online Shopping Behavior. (April). https://doi.org/10.1080/15332861.2014.944437
61. Prasad, S., Gupta, I. C., & Totala, N. K. (2017). Social media usage, electronic word of mouth and purchase-decision involvement. Asia-Pacific Journal of Business Administration, 9(2), 134–145.
62. Rahman, O., & Yu, H. (2018). A study of Canadian female baby boomers: Physiological and psychological needs, clothing choice and shopping motives. Journal of Fashion Marketing and Management, 22(4), 509–526. https://doi.org/10.1108/JFMM-09-2017-0100
63. Richard, M. O., & Chandra, R. (2005). A model of consumer web navigational behavior: Conceptual development and application. Journal of Business Research, 58(8), 1019–1029. https://doi.org/10.1016/j.jbusres.2004.04.001
64. Rogers, E. (1995). The Diffusion of Innovations (5th Editio). New York: New York Press.
65. Russell, J. A., & Mehrabian, A. (1974). Distinguishing anger and anxiety in terms of emotional response factors. Journal of Consulting and Clinical Psychology, 42(1), 79—83. https://doi.org/10.1037/h0035915
66. Scarpi, D. (2012). Work and Fun on the Internet: The Effects of Utilitarianism and Hedonism Online. Journal of Interactive Marketing, 26(1), 53–67. https://doi.org/10.1016/j.intmar.2011.08.001
67. Schierz, P. G., Schilke, O., & Wirtz, B. W. (2010). Understanding consumer acceptance of mobile payment services: An empirical analysis. Electronic Commerce Research and Applications, 9(3), 209–216. https://doi.org/10.1016/j.elerap.2009.07.005
68. Soltanpanah, H., Shafe’ei, R., & Mirani, V. (2012). A review of the literature of perceived risk and identifying its various facets in e- commerce by customers: Focusing on developing countries. African Journal of Business Management, 6(8), 2888–2896. https://doi.org/10.5897/ajbm11.1409
69. Trusov, M., Bucklin, R. E., & Pauwels, K. (2018). Do you Want to Be my “friend”? MONETARY VALUE OF WORD-OF-MOUTH MARKETING IN ONLINE COMMUNITIES. GfK Marketing Intelligence Review, 2(1), 26–33. https://doi.org/10.2478/gfkmir-2014-0068
70. Van den Poel, D., & Leunis, J. (1995). Perceived Risk and Risk Reduction Strategies in Mail-Order versus Retail Store Buying. (9675).
71. van Doorn, J., Lemon, K. N., Mittal, V., Nass, S., Pick, D., Pirner, P., & Verhoef, P. C. (2010). Customer engagement behavior: Theoretical foundations and research directions. Journal of Service Research, 13(3), 253–266. https://doi.org/10.1177/1094670510375599
72. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27(3), 425–478. https://doi.org/10.1006/mvre.1994.1019
73. Vieira, V., Santini, F. O., & Araujo, C. F. (2018). A meta-analytic review of hedonic and utilitarian shopping values. Journal of Consumer Marketing, 35(4), 426–437. https://doi.org/10.1108/JCM-08-2016-1914
74. Wang, Y. J., Minor, M. S., & Wei, J. (2011). Aesthetics and the online shopping environment: Understanding consumer responses. Journal of Retailing, 87(1), 46–58. https://doi.org/10.1016/j.jretai.2010.09.002
75. Wen, H. J., Chen, H. G., & Hwang, H. G. (2001). E-commerce Web site design: Strategies and models. Information Management and Computer Security, 9(1), 5–12. https://doi.org/10.1108/09685220110366713
76. Wong, C. H., Tan, G. W. H., Ooi, K. B., & Lin, B. (2015). Mobile shopping: The next frontier of the shopping industry? An emerging market perspective. International Journal of Mobile Communications, 13(1), 92–112. https://doi.org/10.1504/IJMC.2015.065892
77. Wray, A. Z., & Hodges, N. N. (2008). Response to activewear apparel advertisements by US baby boomers: An examination of cognitive versus chronological age factors. Journal of Fashion Marketing and Management: An International Journal, 12(1), 8–23. https://doi.org/10.1108/13612020810857916
78. Young, A., & Tinker, A. (2017). The 1960s baby boomers: Future needs and preferences. Working with Older People, 21(4), 215–223. https://doi.org/10.1108/WWOP-07-2017-0017
79. Zhang, H., Lu, Y., Gupta, S., & Zhao, L. (2014). What motivates customers to participate in social commerce? the impact of technological environments and virtual customer experiences. Information and Management, 51(8), 1017–1030. https://doi.org/10.1016/j.im.2014.07.005
80. Zheng, L., Favier, M., Huang, P., & Coat, F. (2012). Chinese consumer perceived risk and risk relievers in e-shopping. 17th Symposium of the Association Information and Management 2012, AIM 2012, 13(3), 255–274.