Ugwuanyi, Chidera and Oraedu, Chukwunonso and Ifediora, Chuka and Izogo, Ernest and Asongu, Simplice A and Attamah, Ikechukwu (2022): Understanding drivers of self-service technologies (SSTs) satisfaction and marketing bottom lines: Evidence from Nigeria. Forthcoming in: International Journal of Technology and Human Interaction
Preview |
PDF
MPRA_paper_119328.pdf Download (857kB) | Preview |
Abstract
Whilst self-service technologies (SSTs) are novel and evolving, they have rapidly grown popular across various retail service settings. Having been introduced into the Nigerian banking space, the level of customers’ satisfaction from the system is still unknown given that it has disrupted the initial service setup customers were used to. Utilising two theoretical perspectives, this study examined what drives customers’ satisfaction with banks’ SST and further assesses their influence on different marketing bottom lines. The study employed a quantitative approach to sampling 310 banks’ SST users within a popular university in Eastern Nigeria. Using the PLS-SEM technique, the study found that the perceived ease of use and perceived control are strong drivers of SST satisfaction and other marketing bottom lines. Surprisingly, perceived usefulness was found not to influence SST satisfaction, and therefore present a unique result in this context. Based on the foregoing, theoretical and managerial implications were provided.
Item Type: | MPRA Paper |
---|---|
Original Title: | Understanding drivers of self-service technologies (SSTs) satisfaction and marketing bottom lines: Evidence from Nigeria |
Language: | English |
Keywords: | Customer behaviour, Customer satisfaction, Technology Acceptance Model, Self-service technologies (SSTs), Stimulus-Response-Organism (S-O-R) Theory, Nigeria. |
Subjects: | E - Macroeconomics and Monetary Economics > E1 - General Aggregative Models O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development |
Item ID: | 119328 |
Depositing User: | Simplice Asongu |
Date Deposited: | 02 Dec 2023 09:00 |
Last Modified: | 02 Dec 2023 09:00 |
References: | Ajzen, I. (1991). The theory of planned behaviour. Organizational Behavior and Human Decision Processes, 50, 197-211. Ajzen, I. and Fishbien, M, (1980). Understanding attitudes and predicting social behaviour. Englewood-Cliffs, NJ: Prentice-Hall. Anand, A. (2011), “Welcome valued customer … to more self-checkouts”, In Today News, available at: http://www.today.com/id/43729757/ns/today%20%20today_%20news/t/welcome -valued-customer-more-selfcheckouts#.VjzJ3LerRph (accessed 23 June 2020). Bagozzi, R. P. and Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74 – 94. Berry, L. L. (1999). Discovering the Soul of Service. New York: Free Press. Bhattacherjee, A. (2001). Understanding information system continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351-370. Bhattacherjee, A., Perols, J., & Sanford, C. (2008). Information technology continuance: a theoretical extension and empirical test. Journal of Computer Information Systems, 49(1), 17–26. Brandon-Jones, A. and Kauppi, K. (2018). Examining the antecedents of the technology acceptance model within e-procurement. International Journal of Operations & Production Management, 38(1), 22-42. https://doi.org/10.1108/IJOPM-06-2015-0346 Byrne, B.M. (2013). Structural equation modelling with EQS: Basic concepts, applications, and programming, Multivariate applications, 2nd ed., Lawrence Erlbaum Associates, Mahwah, New Jersey. Collier, J.E. & Sherrell, D.L. (2010). Examining the influence of control and convenience in a self-service setting. Journal of the Academy of Marketing Science, 38(4), 490-509. Curran, J.M., Meuter, M.L. & Surprenant, C.F. (2003). Intentions to use self-service technologies: A confluence of multiple attitudes. Journal of Service Research, 5(3), 209-224. Dabholkar, P.A. (1996). Consumer evaluations of new technology-based self-service options: An investigation of alternative models of service quality. International Journal of Research in Marketing, 13(1), 29-51. Davies, F, D., Bagozzi, R.P. and Warchaw, P.R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 982-1003. Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. De Oña, J. (2020). Understanding the mediator role of satisfaction in public transport: a cross-country analysis. Transport Policy, https://doi.org/10.1016/j.tranpol.2020.09.011. Djelassi, S., Diallo, M.F. & Zielke, S. (2018). How self-service technology experience evaluation affects waiting time and customer satisfaction? A moderated mediation. Decision Support Systems, 111, 38-47 Fornell, C., and Larcker, D. F., (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39 – 50. Giovanis A, Assimakopoulos, C., and Sarmaniotis, C. (2018). Adoption of mobile self-service retail banking technologies: The role of technology, social, channel and personal factors. International Journal of Retail & Distribution Management, https://doi.org/10.1108/IJRDM-05-2018-0089. Guo, L, Lotz SL, Tang C, Gruen TW. (2016). The role of perceived control in customer value co-creation and service recovery evaluation. J Serv Res. 19(1), 39–56. doi:10.1177/1094670515597213. Hair Jr., J. F., Sarstedt, M., Hopkins, L. & Kuppelweiser, V. G. (2014). Partial least squares structural equation modelling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106 – 121. Hair, J.F., Hult, G.T.M., Ringle, C.M. and Sarstedt, M. (2017). A primer on partial least squares structural equation modelling (PLS-SEM), Second edition, SAGE, Los Angeles, London, New Delhi, Singapore, Washington DC, Melbourne. Henseler, J., Hubona, G. and Ray, P.A. (2016). Using PLS path modelling in new technology research: updated guidelines. Industrial Management & Data Systems, 116 (1), 2–20. Hilton, P.R., Brownlow, C., McMurray, I., & Cozens, B. (2004). SPSS explained. NY: Routledge. Homburg, C. Koschate, N. & Hoyer, W.D. (2006), The role of cognition and affect in the formation of customer satisfaction: a dynamic perspective. Journal of Marketing, 70, 21-31. Hu, L.‐T. and Bentler, P.M. (1999). Cutoff criteria for fit indexes in covariance structure analysis. Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. Hudson, S., Roth, M.S., Madden, T.J. and Hudson, R. (2015). The effect of social media on emotion, BRQ and WOM: an empirical study of music festival attendees. Tourism Management, 47, 68-76. Izogo, E.E., Reza, A., Ogba, I.-E. and Oraedu, C. (2017). Determinants of relationship quality and customer loyalty in retail banking: evidence from Nigeria. African Journal of Economic and Management Studies, 8(2), 186-204. Kauffman, R.J. & Lally, L. (1994). A value platform analysis perspective on customer access information technology. Decision Sciences, 25, 767-94. Khalifa, M & Liu, V. (2007). Online consumer retention: Contingent effects of online shopping habit and online shopping experience, European Journal of Information Systems, 16(6): 780-792. Kim E. Y. & Yang, K. (2018). Self-service technologies (SST) streamlining consumer experience in the fashion retail stores: The role of perceived interactivity. Journal of Global Fashion Marketing, 9(4), 287-304, DOI: 10.1080/20932685.2018.1503558. Kim H., Kang S., Song C. & Lee M. J. (2019). How do hotel smartphone applications affect guest satisfaction in applications and re-use intention? An experiential value approach. Journal of Quality Assurance in Hospitality & Tourism, DOI:10.1080/1528008X.2019.1653242. Kim, J. and 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 Interactive Marketing, 7 (1), 3-56. Kim, J.-H., & Park, J.-W. (2019). The effect of airport self-service characteristics on passengers’ perceived value, satisfaction, and behavioural intention: Based on the SOR model. Sustainability, 11(19), 5352, https://doi.org/10.3390/su11195352. Lee, T. & Jun, J. (2007). Contextual perceived value?: Investigating the role of contextual marketing for customer relationship management in a mobile commerce context. Business Process Management Journal, 13(6), 798-814. Liao, C., Chen, J-L. & Yen, D.C. (2007). Theory of planning behaviour (TPB) and customer satisfaction in the continued use of e-service: An integrated model. Computers in Human Behaviour, 23(6), 2804–2822, Lin, J.C. & Hsieh, P.L. (2006). The role of technology readiness in customers’ perception and adoption of self-service technologies. International Journal of Service Industry Management, 17(5): 497-517. Lin, J-S. C. and Hsieh, P-L. (2011). Assessing the self-service technology encounters: Development and validation of SSTQUAL scale. Journal of Retailing, 87(2), 194-206. Mehrabian, A. & Russell, J. A. (1974). An Approach to Environmental Psychology. Cambridge, MA: MIT. Meuter, M. L., Ostrom, A. L., Roundtree, R. I., & Bitner, M. J. (2000). Self-service technologies: Understanding customer satisfaction with technology-based service encounters. Journal of Marketing, 64(3), 50–64. Meuter, M.L., Ostrom, A.L., Bitner, M.J. & Roundtree, R. (2003). The influence of technology anxiety on consumer use and experiences with self-service technologies. Journal of Business Research, 56, 899-906. Mukerjee, K. (2020). Impact of self-service technologies in retail banking on cross-buying and word-of-mouth. International Journal of Retail & Distribution Management, 48(5), 485-500. Oraedu, C. (2017). Customer relationship quality and word-of-mouth behaviour: A study of the Nigerian telecom industry (Unpublished Masters Dissertation). Ebonyi State University, Abakaliki. Oraedu, C. (2019). Structural equation test of service quality dimensions on the relationship quality constructs: evidence from an emerging telecom market. Journal of Relationship Marketing, 18 (2), pp. 146-171; DOI: 10.1080/15332667.2018.1534066. Oraedu, C., Izogo, E.E., Nnabuko, J. & Ogba, I-E. (2021). Understanding electronic and face-to-face word-of-mouth influencers: an emerging market perspective. Management Research Review, 44, No 1, pp. 112-132; DOI 10.1108/MRR-02-2020-0066. Park, E., Kim. K. J., and Kwon, S. J. (2017). Corporate social responsibility as a determinant of consumer loyalty: An examination of ethical standard, satisfaction, and trust. Journal of Business Research, 76, 8-13. Pham, L., Pham, N., Le, H. and Luse, D. (2018). Technology readiness and customer satisfaction in luxury hotels: a case study of Vietnam. International Journal of Entrepreneurship, 22(2), 6–25. Robertson, N., McDonald, H., Leckie, C, & McQuilken, L. (2016). Examining customer evaluations across different self-service technologies. Journal of Services Marketing, 30(1), 88-102, https://doi.org/10.1108/JSM-07-2014-0263. Rose, S., Clark, M. & Hair, N. (2012). Online customer experience in e-retailing: An empirical model of antecedents and outcomes. Journal of Retailing, 88(2), 308-322. Saunders, M. & Lewis, P. (2012). Doing research in business and management: an essential guide to planning your project. Harlow: Person Education Limited. Tsao, W, C., and Hsieh, M, T., (2012). Exploring how relationship quality influences positive e-WOM: the importance of customer commitment. Total Quality Management, 23(7), 821-835. Ugwuanyi, C.C., Uduji, J. I., and Oraedu, C. (2021). Customer experience with self-service technologies in the banking sector: evidence from Nigeria. Int. J. Business and Systems Research, 15(4), 405-424; DOI: 10.1504/IJBSR.2021.10029513. Venkatesh, V., Davis, F., & Morris, M. G. (2007). Dead or alive? the development, trajectory and future of technology adoption research. Journal of the Association for Information Systems, 8(4), 267-286. Wang, V., Nnaji H. and Jung, J. (2020). Internet banking in Nigeria: Cybersecurity breaches, practices and capability. International Journal of Law, Crime and Justice, https://doi.org/10.1016/j.ijlcj.2020.100415 Zhu, Z., Cheryl N., Sivakumar, K. & Grewal D. (2007). Self-service technology effectiveness: The role of design features and individual traits. Journal of the Academy of Marketing Science, 35(4), 492-506. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/119328 |