ANTECEDENTS OF E-REFERRALS: A STUDY ON MOBILE BANKING APPLICATIONS
Keywords:
E-referrals, mobile banking applications, demographic factors, behavioural factors, incentivesAbstract
The present study contributes to the subsisting literature on Word-of-Mouth by identifying the demographic and behavioural factors that motivate people towards making e-referrals of mobile banking applications. Also the influence of incentives and incentive amount is measured. The data for the study is collected from 120 respondents. The results suggest that education, age, satisfaction, trust, involvement, existing word-of-mouth, usefulness, credibility, incentive and incentive amount positively influence a customer’s choice of referring people electronically.
References
Ahmad, N., Vveinhardt, J., Ahmed, R.R., (2014), Impact of word of mouth on consumer buying decision. European Journal of Business and Management, Vol.6, no.31, pp. 394-403. 2. Ahrens, J., Coyle, J. R. & Strahilevitz, M. A., (2013), Electronic word of mouth. European Journal of Marketing, Vol. 47, no. 7, pp. 1034-1051, doi: https://doi.org/10.1108/03090561311324192. 3. Burtch, G., Hong, Y.K., (2014), What Happens When Word of Mouth Goes Mobiles?, 35th International Conference on Information Systems: Building a better world through Information Systems, ICSI, 2014, Auckland, New Zealand: Association for Information Systems.
Cheung, C. M. K., Thadani, D., (2012), The impact of electronic word-of-mouth Communication: A literature analysis and integrative model, Decision Support
Systems, Vol. 54, no.1, pp. 461-470, doi: 10.1016/j.dss.2012.06.008.
De Matos, C. A., Rossi, C. A. V., (2008), Word-of-mouth communications in marketing: a meta-analytic review of the antecedents and moderators, Journal of the Academy of Marketing Science, Vol. 36, no. 4, pp. 578-596, doi: https://doi.org/10.10.1007/s11747-008-0121-1. 6. DEI Worldwide. (2008), Engaging Consumers Online: The Impact of Social Media in Purchasing Behaviour, available at: issuu.com/deiworldwide/docs/dei_study_-_engaging_online_summary. 7. Dose, D.B., Walsh, G., Beatty, S.E., Elsner, R., (2019), Unintended Reward Costs: The Effectiveness of Customer Referral Reward Programs for Innovative Products and Services, Journal of Academy of Marketing Science, Vol. 47, pp. 438-459, doi: https://doi.org/10.1007/ s11747-019-00635-z.
Filieri, R., Raguseo, E., & Vitari, C., (2018), When are extreme ratings more helpful? Empirical evidence on the moderating effects of review characteristics and product type, Computers in Human Behavior, Vol. 88, pp. 134–142, doi: 10.1016/j.chb.2018.05.042.
Greene, M. (2009), Justifying social marketing spending, Forrester Research report, available at http:// a964.g.akamaitech.net/7/964/714/d8ab5e007929d7/
www.forrester.com/imagesV2/uplmisc/ justifyingsocialmarketing.pdf
Jalilvand, M.J., Esfahani, S.S., Samiei, N., (2011), Electronic Word-of-Mouth: Challenges and Opportunities, Procedia Computer Science, Vol. 3, pp. 42-46, doi: https://doi.org/10.1016/j. procs.2010.12.008.
Katz, E., and Lazarfeld, P.F. (1955): Personal influence: The part played by people in the flow of mass communications. New York: Free Press.
Ryu, G. & Feick, L., (2007), A penny for your thoughts: referral reward programs and referral likelihood, Journal of Marketing, Vol. 71, no. 1, pp. 84-94, doi: 10.1509/jmkg.71.1.84. 13. Wirtz, J., Tang, C. S.,Georgi, D., (2018), Successful referral behavior in referral reward Programs, Journal of Service Management, Vol. 20, no.1, pp. 48-74, doi: 10.1108/JOSM-04-2018-0111.