The role of brand loyalty and social media in e-commerce interfaces: survey results and implications for user interfaces

Rigas, Dimitrios and Hussain, Hammad (2015) The role of brand loyalty and social media in e-commerce interfaces: survey results and implications for user interfaces. In: HCI in Business. HCIB 2015. Lecture Notes in Computer Science (9191). Springer, Cham, Switzerland, pp. 347-357. ISBN 9783319208947

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Official URL: https://doi.org/10.1007/978-3-319-20895-4_32

Abstract

This paper explores the role of brand loyalty and social media in e-commerce interfaces. A survey consisting of 118 respondents was contacted to address the questions relating to online shopping and brand loyalty. Link between the frequency of access and time spent on an e-commerce user interface, and brand loyalty, gender and age profile differences, and the role of social media to branding and on-line shopping was analyzed. It was found that online loyalty differs from offline loyalty and loyalty also differed across genders, showing men were more loyal than women when shopping online. Information shared about products on social media by friends and family played an important role in purchase decision making. Website interface and ease of navigation were also key aspects for online shopping. The research concluded with recommendations to create multimodal websites which are more interactive and targeted so customer experience is enhanced and loyalty is achieved through the use of interactivity and social media.

Item Type:	Book Section
Additional Information:	© Springer Verlag 2015. The final publication is available at Springer via https://doi.org/10.1007/978-3-319-20895-4_32
Uncontrolled Keywords:	On-line Consumer Behavior, Brand Loyalty, e-commence Interfaces, Social Media Interfaces, User Interface Guidelines
Subjects:	Business and finance
Depositing User:	Dimitrios Rigas
Date Deposited:	15 Jun 2016 00:51
Last Modified:	28 Aug 2021 07:21
URI:	http://repository.uwl.ac.uk/id/eprint/2596

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References

1. Office of The National Statistics (ONS). (February, 2014). Retail Sales, 2014. Available: http://www.ons.gov.uk/ons/dcp171778_358049.pdf. Last accessed 05th Nov 2014.
2. Alba, J., Lynch, J., Weitz, B., Janiszewski, C., Lutz, R., Sawyer, A., et al. (1997). Interactive home shopping: Consumer, retailer, and manufacturer incentives to par-ticipate in electronic market places. Journal of Marketing, 61(3), 38-53
3. Hillenbrand, P., Alcauter, S., Cervantes, J.& Barrios, F. (2013). “Better branding: brand names can influence consumer choice”, Journal of Product &Brand Management, vol. 22, pp. 300-308
4. Lee, K. & Carter, S. 2012, Global marketing management: changes, new challenges, and strategies, Oxford University Press, Oxford.
5. Dick, A. and Basu, K., 1994. Customer loyalty: towards an integrated framework. Journal of the Academy of Marketing Science 22 (2), 99-113.
6. Goldscher, S. 1998, Count the ways to loyalty, part 1, BNP Media, Northbrook.
7. Degeratu, A.M., Rangaswamy, A. and Wu, J.N. (2000), “Consumer choice behavior in online and traditional supermarkets: the effects of brand name, price, and other search at-tributes”, International Journal of Research in Marketing, Vol. 17, pp. 55-78.
8. Emmanouilides, C. & Hammond, K. 2000, "Internet usage: Predictors of active users and frequency of use", Journal of Interactive Marketing, vol. 14, no. 2, pp. 17-32.
9. Kalauz, Maja. Vranesevic, Tihomir. Trantnik, Miroslav. 2011, “The clothing brand loyalty of teenagers: Differences between Loyalty and Desire to be Loyal”, International Journal of Management Cases, Vol. 13, issue 4, pp 156-164
10. Evans, M., Foxall, G.R. & Jamal, A. 2009, Consumer behaviour, Wiley, Chichester.
11. Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of in-formation technology. MIS Quartely, 13 (3), 319-40
12. Davis, F. (1985). A Technology Acceptance Model for empirically testing new end-user information systems: theory and results. Unpublished Doctoral Dissertation, MIT Sloan School of Management, Cambridge, MA.
13. Fishbein M and Ajzen I (1975) Belief, Attitude, Intention and Behaviour: An Introduction to Theory and Research, Addison -Wesley, Reading, MA
14. Lee, Y.,Kozar, K.A. & Larsen, K.R.T (2003). The Technology acceptance model: past, present, and future. Communications of the AIS, 12 (50), 752-80
15. Beauchamp, M.B. and Ponder, N. (2010), “Perceptions of retail convenience for in-store and online shoppers”, The Marketing Management Journal, Vol. 20 No. 1, pp. 49-65.
16. Colwell, S.R., Aung, M., Kanetkar, V. and Holden, A.L. (2008), “Toward a measure of service convenience: multiple-item scale development and empirical test”, Journal of Ser-vices Marketing, Vol. 22 No. 2, pp. 160-169.
17. Reimers, V. and Clulow, V. (2009), “Retail centres: it’s time to make them convenient”, International Journal of Retail & Distribution Management, Vol. 37 No. 7, pp. 541-562.
18. Fishbein, M. and Stasson, M. (1990) The role of desires, self-predictions, and perceived control in the prediction of training session attendance, Journal of Applied Social Psychol-ogy, 20:173-98
19. WARSHAW, P. R., 1980. Predicting Purchase and other behaviors from generally and contextually specific intentions. Journal of Marketing, 17, 26-33.
20. Ajzen, I. (1988). Attitudes, personality, and behavior. Chicago: Dorsey Press.
21. Ajzen, I., & Madden, T. J. (1986). Prediction of goal-directed behavior: Attitudes, inten-tions, and perceived behavioral control. Journal of Experimental Social Psychology, 22, 45374.
22. Bagozzi, R. P. (1981). Atttudes, intentions, and behavior: A test of some key hypotheses. Journal of Personality and Social Psychology, 41, 607ó627.
23. Gürhan-Canli, Zeynep and Rohini Ahluwalia (2002), “Understanding Processes Underly-ing Consumer Inferences,” in Advances in Consumer Research, Vol. 29, eds. Susan Broni-arczyk and Kent Nakamoto, Provo, UT: Association for Consumer Research, 489
24. Hale, J.L.; Householder, B.J. & Greene, K.L. (2002). The theory of reasoned action. In J.P. Dillard & M. Pfau (Eds.), The persuasion handbook: Developments in theory and practice (pp. 259–286). Thousand Oaks, CA: Sage.
25. Bryman, A. & Bell, E. 2011, Business research methods, Oxford University Press, Oxford.
26. Venkatesh, V. & Davis, F,D. (1996). A model of the antecedents of perceived ease of use: development and test. Decision Sciences, 27 (3), 451-481
27. SOLOMON, M., et al., 2006. Consumer Behaviour: A European Perspective. 3rd ed. Har-low: Prentice Hall.
28. Bruner II, Gordon C. and Pomazal, Richard J. (1988), "Problem Recognition: The Crucial First Stage of the Consumer Decision Process, Journal of Consumer Marketing, 5 (1), Winter, 53-63.
29. Bloch, P.H., Sherrell, D.L. and Ridgeway, N.M. (1986) Consumer search: an extended framework. Journal of Consumer Research, 13, 119-126.
30. Engel, J.F., Kollat, D.T. & Blackwell, R.D. Consumer behavior. New York: Holt, Rinehart & Winston, 1968.
31. Rigas, D.I. and J.L. Alty, Using sound to communicate program execution. Proceedings of the 24th EUROMICRO Conference, 1998. 2: p. 625–632.
32. Rigas, D. and D. Hopwood, The Role of Multimedia in Interfaces for On-Line Learning. 9th Panhellenic Conference on Informatics (PCI'2003). , Thessaloniki, Greece, 2003.
33. Rigas, D.I., Guidelines for Auditory Interface Design: An Empirical Investigation. 1996: PhD thesis, Loughborough University of Technology.
34. Rigas, D., & Almutairi, B. (2013). An Empirical Investigation into the Role of Avatars in Multimodal E-government Interfaces. International Journal of Sociotechnology and Knowledge Development (IJSKD), 5(1), pg. 14-22

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The role of brand loyalty and social media in e-commerce interfaces: survey results and implications for user interfaces

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