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What is Stopping You from Using Mobile Payment? A PLS-SEM Approach

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HCI International 2022 – Late Breaking Papers: HCI for Today's Community and Economy (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13520))

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Abstract

Mobile payments are rapidly taking over the market with their convenience and speed, creating new payment and profit models for consumers and organizations. While they are beneficial the adoption is still at the infancy. On this basis, this study combines consumers’ perceived risk (e.g., affective risk and performance risk) and consumers’ perceived value (e.g., economic value, emotional value, function value, social value) as second-order constructs with ease of use to study on the willingness of consumer to use mobile payment. Results indicate that all the hypotheses are supported in this study. The research enriches the literatures of mobile payment and deepens the understanding of mobile payment usage from a developing country perspective.

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References

  1. Bailey, A.A., Pentina, I., Mishra, A.S., Mimoun, M.S.B.: Mobile payments adoption by US consumers: an extended TAM. Int. J. Retail Distrib. Manage. 45(6), 626–640 (2017)

    Article  Google Scholar 

  2. Bhattacherjee, A.: Understanding information systems continuance: an expectation-confirmation model. MIS Q. Manage. Inf. Syst. 25(3), 351–370 (2001)

    Article  Google Scholar 

  3. Brem, A., Viardot, E., Nylund, P.A.: Implications of the coronavirus (COVID-19) outbreak for innovation: Which technologies will improve our lives? Technol. Forecast. Soc. Chang. 163, 120451 (2021)

    Article  Google Scholar 

  4. Chaudhuri, A.: A macro analysis of the relationship of product involvement and information search: the role of risk. J. Market. Theory Pract. 8(1), 1–15 (2000)

    Article  Google Scholar 

  5. Chen, Q.: Research on Influencing Factors of mobile payment willingness based on perceived value (Master’s thesis, Beijing University of Posts and Telecommunications) (2015). https://kns.cnki.net/KCMS/detail/detail.aspx?dbname=CMFD201502&filename=1015583501.nh

  6. Cunningham, S.M.: The major dimensions of perceived risk. In: Cox, D.F. (ed.) Risk Taking and Information Handing in Consumer Behavior. Harvard University Press, Boston (1967)

    Google Scholar 

  7. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. Manage. Inf. Syst. 13(3), 319–339 (1989)

    Article  Google Scholar 

  8. De Kerviler, G., Demoulin, N.T., Zidda, P.: Adoption of in-store mobile payment: are perceived risk and convenience the only drivers? J. Retail. Consum. Serv. 31, 334–344 (2016)

    Article  Google Scholar 

  9. Dijkstra, T.K., Henseler, J.: Consistent partial least squares path modeling. MIS Q. 39(2), 297–316 (2015)

    Article  Google Scholar 

  10. Featherman, M.S., Pavlou, P.A.: Predicting e-services adoption: a perceived risk facets perspective. Int. J. Hum. Comput. Stud. 59(4), 451–474 (2003)

    Article  Google Scholar 

  11. Forsythe, S., Liu, C., Shannon, D., Gardner, L.C.: Development of a scale to measure the perceived benefits and risks of online shopping. J. Interact. Mark. 20(2), 55–75 (2006)

    Article  Google Scholar 

  12. Hair, J.F., Hult, G.T.M., Ringle, C., Sarstedt, M.: A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 2nd edn. Sage Publications, Thousand Oaks (2017)

    MATH  Google Scholar 

  13. Hansen, J.M., Saridakis, G., Benson, V.: Risk, trust, and the interaction of perceived ease of use and behavioral control in predicting consumers’ use of social media for transactions. Comput. Hum. Behav. 80, 197–206 (2018)

    Article  Google Scholar 

  14. Hew, J.J., Leong, L.Y., Tan, G.W.H., Ooi, K.B., Lee, V.H.: The age of mobile social commerce: an Artificial Neural Network analysis on its resistances. Technol. Forecast. Soc. Chang. 144, 311–324 (2019)

    Article  Google Scholar 

  15. Hew, J.J., Tan, G.W.H., Lin, B., Ooi, K.B.: Generating travel-related contents through mobile social tourism: does privacy paradox persist? Telematics Inform. 34(7), 914–935 (2017)

    Article  Google Scholar 

  16. Hsiao, K., Chen, C.: What drives smartwatch purchase intention? Perspectives from hardware, software, design, and value. Telematics Inform. 35(1), 103–113 (2018)

    Article  Google Scholar 

  17. Kaplan, L.B., Szybillo, G.J., Jacoby, J.: Components of perceived risk in product purchase: a cross-validation. J. Appl. Psychol. 59(3), 287–291 (1974)

    Article  Google Scholar 

  18. Kim, H.W., Chan, H.C., Gupta, S.: Value-based adoption of mobile internet: an empirical investigation. Decis. Support Syst. 43(1), 111–126 (2007)

    Article  Google Scholar 

  19. Lee, V.H., Hew, J.J., Leong, L.Y., Tan, G.W.H., Ooi, K.B.: Wearable payment: a deep learning-based dual-stage SEM-ANN analysis. Expert Syst. Appl. 157, 113477 (2020)

    Article  Google Scholar 

  20. Leong, L.Y., Hew, T.S., Ooi, K.B., Lee, V.H., Hew, J.J.: A hybrid SEM-neural network analysis of social media addiction. Expert Syst. Appl. 133, 296–316 (2019)

    Article  Google Scholar 

  21. Lew, S., Tan, G.W.H., Loh, X.M., Hew, J.J., Ooi, K.B.: The disruptive mobile wallet in the hospitality industry: an extended mobile technology acceptance model. Technol. Soc. 63, 101430 (2020)

    Article  Google Scholar 

  22. Wei, L.: Research on the influence of consumer perceptional factors on the intention to use mobile payment technology in Peru-Based on Technology Acceptance Model. Chang’an University (2020)

    Google Scholar 

  23. Li, W.: The impact of perceived value on e-book reading client customer satisfaction and loyalty. J. Libr. Sci. China 06, 35–49 (2017)

    Google Scholar 

  24. Liébana-Cabanillas, F., Munoz-Leiva, F., Sánchez-Fernández, J.: A global approach to the analysis of user behavior in mobile payment systems in the new electronic environment. Serv. Bus. 12(1), 25–64 (2018)

    Google Scholar 

  25. Loh, X.K., Lee, V.H., Loh, X.M., Tan, G.W.H., Ooi, K.B., Dwivedi, Y.K.: The dark side of mobile learning via social media: how bad can it get? Inf. Syst. Front., 1–18 (2021)

    Google Scholar 

  26. Loh, X.M., Lee, V.H., Tan, G.W.H., Hew, J.J., Ooi, K.B.: Towards a cashless society: the imminent role of wearable technology. J. Comput. Inf. Syst. 62(1), 39–49 (2022)

    Google Scholar 

  27. Loh, X.M., Lee, V.H., Tan, G.W.H., Ooi, K.B., Dwivedi, Y.K.: Switching from cash to mobile payment: what’s the hold-up? Internet Res. 31(1), 376–399 (2021)

    Google Scholar 

  28. Morais Watanabe, E.A., Alfinito, S., Curvelo, I.C.G., Hamza, K.M.: Perceived value, trust and purchase intention of organic food: a study with Brazilian consumers. Br. Food J. 122(4), 1070–1184 (2020)

    Google Scholar 

  29. Murray, K.B., Schlacter, J.L.: The impact of services versus goods on consumers’ assessment of perceived risk and variability. J. Acad. Mark. Sci. 18(1), 51–65 (1990)

    Article  Google Scholar 

  30. Ng, F.Z.X., Yap, H.Y., Tan, G.W.H., Lo, P.S., Ooi, K.B.: Fashion shopping on the go: a Dual-stage predictive-analytics SEM-ANN analysis on usage behaviour, experience response and cross-category usage. J. Retail. Consum. Serv. 65, 102851 (2022)

    Article  Google Scholar 

  31. Ooi, K.B., Tan, G.W.H.: Mobile technology acceptance model: an investigation using mobile users to explore smartphone credit card. Expert Syst. Appl. 59, 33–46 (2016)

    Article  Google Scholar 

  32. Rauschnabel, P.A., He, J., Ro, Y.K.: Antecedents to the adoption of augmented reality smart glasses: a closer look at privacy risks. J. Bus. Res. 92, 374–384 (2018)

    Article  Google Scholar 

  33. Roselius, T.: Consumer rankings of risk reduction methods. J. Mark. 35(1), 56 (1971)

    Article  Google Scholar 

  34. Sánchez, J., Callarisa, L., Rodríguez, R.M., Moliner, M.A.: Perceived value of the purchase of a tourism product. Tour. Manage. 27(3), 394–409 (2006)

    Article  Google Scholar 

  35. Sekaran, U., Bougie, R.: Research Methods for Business: A Skill-Building Approach, 7th edn. Wiley, New Jersey (2016)

    Google Scholar 

  36. Sheth, J.N., Newman, B.I., Gross, B.L.: Why we buy what we buy: a theory of consumption values. J. Bus. Res. 22(2), 159–170 (1991)

    Article  Google Scholar 

  37. Singh, S., Zolkepli, A., Cheah, W.: New wave in mobile commerce adoption via mobile applications in Malaysian market: Investigating the relationship between consumer acceptance, trust, and self-efficacy. Int. J. Interact. Mobile Technol. 12(7), 112–128 (2018)

    Article  Google Scholar 

  38. Sun, Z., Sun, L., Strang, K.: Big data analytics services for enhancing business intelligence. J. Comput. Inf. Syst. 58(2), 162–169 (2018)

    Google Scholar 

  39. Tew, H.T., Tan, G.W.H., Loh, X.M., Lee, V.H., Lim, W.L., Ooi, K.B.: Tapping the next purchase: embracing the wave of mobile payment. J. Comput. Inf. Syst., 1–9 (2021). https://doi.org/10.1080/08874417.2020.1858731

  40. Wan, S.M., Cham, L.N., Tan, G.W.H., Lo, P.S., Ooi, K.B., Chatterjee, R.S.: What’s stopping you from migrating to mobile tourism shopping? J. Comput. Inf. Syst., 1–16 (2021)

    Google Scholar 

  41. Wang, G., Tan, G.W.H., Yuan, Y.P., Ooi, K.B., Dwivedi, Y.K.: Revisiting TAM2 in behavioral targeting advertising: a deep learning-based dual-stage SEM-ANN analysis. Technol. Forecast. Soc. Chang. 175, 121345 (2022)

    Article  Google Scholar 

  42. Wang, H.Y., Wang, S.H.: Predicting mobile hotel reservation adoption: Insight from a perceived value standpoint. Int. J. Hosp. Manag. 29(4), 598–608 (2010)

    Article  Google Scholar 

  43. Wong, C.H., Tan, G.W.H., Loke, S.P., Ooi, K.B.: Mobile TV: a new form of entertainment? Ind. Manag. Data Syst. 114(7), 1050–1067 (2014)

    Article  Google Scholar 

  44. Wong, C.H., Tan, G.W.H., Loke, S.P., Ooi, K.B.: Adoption of mobile social networking sites for learning? Online Inf. Rev. 39(3), 762–778 (2015)

    Article  Google Scholar 

  45. Wong, L.W., Tan, G.W.H., Lee, V.H., Ooi, K.B., Sohal, A.: Unearthing the determinants of Blockchain adoption in supply chain management. Int. J. Prod. Res. 58(7), 2100–2123 (2020)

    Article  Google Scholar 

  46. Yan, L.Y., Tan, G.W.H., Loh, X.M., Hew, J.J., Ooi, K.B.: QR code and mobile payment: the disruptive forces in retail. J. Retail. Consum. Serv. 58, 102300 (2021)

    Article  Google Scholar 

  47. Yongqing, Y., Jinlong, Z., Nan, L., Guang, Y.: An Empirical Study on the antecedents of perceived risk of mobile value-added service consumers. Manage. Rev. 03, 115–123 (2012)

    Google Scholar 

  48. Yuan, Y.P., Tan, G.W.H., Ooi, K.B., Lim, W.L.: Can COVID-19 pandemic influence experience response in mobile learning? Telematics Inform. 64, 101676 (2021)

    Article  Google Scholar 

  49. Yuen, Y.Y., Yeow, P.H., Lim, N.: Internet banking acceptance in the United States and Malaysia: a cross-cultural examination. Mark. Intell. Plan. 33(3), 292–308 (2015)

    Article  Google Scholar 

  50. Zang, X.: Research on Influencing Factors of Perceived Risk of Mobile Payment Users. Nanjing Normal University (2018)

    Google Scholar 

  51. Zeithaml, V.A.: Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. J. Mark. 52(3), 2–22 (1988)

    Article  Google Scholar 

  52. Wenjun, Z., Ming, Y., Xuedong, W.: An Empirical Study on consumers’ willingness to participate in social Q & A platform from the perspective of perceived value. Inf. Sci. 02, 69–74 (2017)

    Google Scholar 

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Authors and Affiliations

  1. UCSI Graduate Business School, UCSI University, Kuala Lumpur, Malaysia

    Hao Rui, Garry Wei-Han Tan, Eugene Cheng-Xi Aw, Tat-Huei Cham & Keng-Boon Ooi

Authors
  1. Hao Rui
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  2. Garry Wei-Han Tan
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  3. Eugene Cheng-Xi Aw
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  4. Tat-Huei Cham
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  5. Keng-Boon Ooi
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Corresponding author

Correspondence to Garry Wei-Han Tan .

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Editors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, The Netherlands

    Matthias Rauterberg

  2. City University of Hong Kong, Kowloon Tong, Kowloon, Hong Kong

    Fiona Fui-Hoon Nah

  3. City University of Hong Kong, Kowloon Tong, Kowloon, Hong Kong

    Keng Siau

  4. Technische Universität Ilmenau, Ilmenau, Germany

    Heidi Krömker

  5. University of West Florida, Pensacola, FL, USA

    June Wei

  6. University of Central Florida, Orlando, FL, USA

    Gavriel Salvendy

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Rui, H., Tan, G.WH., Aw, E.CX., Cham, TH., Ooi, KB. (2022). What is Stopping You from Using Mobile Payment? A PLS-SEM Approach. In: Rauterberg, M., Fui-Hoon Nah, F., Siau, K., Krömker, H., Wei, J., Salvendy, G. (eds) HCI International 2022 – Late Breaking Papers: HCI for Today's Community and Economy. HCII 2022. Lecture Notes in Computer Science, vol 13520. Springer, Cham. https://doi.org/10.1007/978-3-031-18158-0_15

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  • DOI: https://doi.org/10.1007/978-3-031-18158-0_15

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