Abstract
Ease of use is one of the crucial principals when evaluating the experience of interacting with the product consoles, and NPS measures the customers’ brand loyalty. This study aimed to investigate the possible relationship between the two metrics in the cloud computing field, and explore whether the customers’ attitude influence their actual consuming behavior, which has been rarely discussed in the enterprise service industries. Researchers collected data though questionnaires and background databases, then correlation analysis, regression and ANOVA were conducted to test the hypotheses. One of the main procedures was to compare the sequent monthly spending of customers from different groups, and samples were grouped by their ease-of-use rating and NPS identities (promoters/passives/detractors). The final results indicated a positive correlation between the ease-of-use scores and NPS of a cloud computing product, especially when their usage experience lays emphasis on operating consoles. Furthermore, a notable finding showed that, promoters’ monthly spending increase were significantly higher than those of detractors and even reached 8 times in 9 months after the NPS survey, with the sample roles controlled as the purchase decision-makers rather than merely users. However, no difference was detected between the retention of promoters and detractors, which might due to the ambiguity in precisely defining the churn/retention. This is the first scientific research that investigated the relationship between ease-of-use and NPS, and the impact of attitudes towards products on sequent spending at the micro (customer) level, with the innovative perspective from the cloud computing industry.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Hoffman, D.L., Thomas, P., Novak, T.: Marketing in hypermedia computer-mediated environments: conceptual foundations. J. Mark. 60, 50–68 (1996). https://doi.org/10.2307/1251841
Laros, F.J.M., Steenkamp, J.-B.: Emotions in consumer behavior: a hierarchical approach. J. Bus. Res. 58(10), 1437–1445 (2005). https://doi.org/10.1016/j.jbusres.2003.09.013
Davis, F.D.: A technology acceptance model for empirically testing new end-user information systems: theory and results. Doctoral thesis, MIT Sloan School of Management, Cambridge, MA (1985)
Chin, J.P., Diehl, V.A., Norman, K.L.: Development of an instrument measuring user satisfaction of the human-computer interface. In: Proceedings of CHI 1988, pp. 213–218. ACM, Washington, DC (1988)
Brooke, J.: SUS: A “Quick and Dirty” Usability Scale. Usability Evaluation in Industry, pp. 189–194. Taylor & Francis, London (1996)
Lewis, J.R.: Psychometric evaluation of a post-study system usability questionnaire: the PSSUQ (Technical report 54.535). International Business Machines Corp, Boca Raton, FL (1990)
Lewis, J.R.: Psychometric evaluation of the post-study system usability questionnaire: the PSSUQ. In: Proceedings of the Human Factors Society 36th Annual Meeting. Human Factor Society, Santa Monica, CA, pp. 1259–1263 (1992)
Reichheld, F.F.: The one number you need to grow. Harv. Bus. Rev. 81(12), 46–54 (2003)
Reichheld, F.F.: The microeconomics of customer relationships. MIT Sloan Manag. Rev. 47(2), 73–78 (2006). https://doi.org/10.1007/978-3-642-03243-1_3
Reichheld, F.F., Markey, R.: The Ultimate Question 2.0: How Net Promoter Companies Thrive in a Customer-Driven World. Harvard Business Review Press, Boston (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Gao, X., Zhi, S., Wang, X. (2021). Investigating the Relationship Among Ease-of-Use, NPS, and Customers’ Sequent Spending of Cloud Computing Products. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2021 - Posters. HCII 2021. Communications in Computer and Information Science, vol 1421. Springer, Cham. https://doi.org/10.1007/978-3-030-78645-8_53
Download citation
DOI: https://doi.org/10.1007/978-3-030-78645-8_53
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-78644-1
Online ISBN: 978-3-030-78645-8
eBook Packages: Computer ScienceComputer Science (R0)