The Influence of Psychological Factors on Customer Motivation to Adopt Mobile Live-Streaming in Marketing Operations
Main Article Content
Abstract
he present study meticulously examines the profound impact of psychological factors—specifically the Big Five personality traits—on online customers' motivation to adopt mobile live-streaming marketing platforms. Drawing upon the established Technology Acceptance Model (TAM) and the critical dimension of Trust Theory, a robust theoretical framework was developed to investigate how Extraversion, Agreeableness, Openness, Conscientiousness, and Neuroticism differentially influence customers' perceived needs, including Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Trust (TR), and the ultimate motivation to adopt. Hypotheses were rigorously tested using SmartPLS software on a sample of highly engaged digital natives. The empirical evidence illuminates a compelling nexus: the exploratory disposition inherent in Openness and the methodical rigor of Conscientiousness are the primary psychological antecedents shaping Perceived Usefulness. Concurrently, the social vitality of Extraversion, the harmonious inclination of Agreeableness, and the receptive nature of Openness serve as the foundational pillars for the cultivation of Trust in this synchronous social commerce environment. Crucially, the findings reveal that while most variables exert significant direct effects, Perceived Ease of Use (PEOU) is rendered non-significant, a finding attributed to the sample's high digital proficiency, which necessitates a theoretical refinement of TAM in the context of advanced mobile interfaces. This study offers a nuanced, ranked model of psychological influence, significantly enhancing the theoretical understanding of synchronous social commerce adoption. Finally, practical strategies are discussed to enhance the operational performance of mobile live marketing platforms and facilitate greater customer acceptance of mobile technology.
Article Details
References
Ab. Malik, A. Md., Hairuddin, H., & Shuib, N. (2018). Openness to experience - A moderator between social commerce success factors and customer satisfaction relationship: Facebook brand page platform. Management and Accounting Review (MAR), 17(3), 67. https://doi.org/10.24191/mar.v17i3.794
Abbasi, H., Johl, S., Shaari, Z., Moughal, W., Mazhar, M., Musarat, M., Rafiq, W., Farooqi, A., & Borovkov, A. (2021). Consumer motivation by using unified theory of acceptance and use of technology towards electric vehicles. Sustainability, 13(21), Article 12177. https://doi.org/10.3390/su132112177
Abbasi-Asl, R., & Hashemi, S. (2019). Personality and morality: Role of the Big Five personality traits in predicting the four components of moral decision making. PsyArXiv. https://doi.org/10.31234/osf.io/6azqs
Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: A replication. MIS Quarterly, 16(2), 227–249. https://doi.org/10.2307/249577
Ahuja, V., & Khazanchi, D. (2016). Creation of a conceptual model for adoption of mobile apps for shopping from e-commerce sites–An Indian context. Procedia Computer Science, 91, 609–616. https://doi.org/10.1016/j.procs.2016.07.152
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckmann (Eds.), Action control (pp. 11–39). Springer. https://doi.org/10.1007/978-3-642-69746-3_2
Akhter Shareef, M., Kumar, V., Kumar, U., & Akhter Hasin, A. (2009). Theory of planned behavior and reasoned action in predicting technology adoption behavior. In Y. K. Dwivedi, B. Lal, M. D. Williams, S. L. Schneberger, & M. Wade (Eds.), Handbook of research on contemporary theoretical models in information systems (pp. 544–562). IGI Global. https://doi.org/10.4018/978-1-60566-659-4.ch031
Aprilivianto, Sugandini, D., & Effendi, M. I. (2019). Trust, risk, perceived usefulness, and ease of use on intention to online shopping behavior. In Proceedings of the International Conference of Business, Economy, Entrepreneurship and Management (pp. 251–256). https://doi.org/10.5220/0009963302510256
Armilawati, N. L. P. D. (2020). The effect of online shopping experience on risk perception and trust for building online repurchase intention. International Journal of Contemporary Research and Review, 11(5), 20173–20181. https://doi.org/10.15520/ijcrr.v11i05.805
Belkhamza, Z., & Azizi Wafa, S. (Eds.). (2012). Measuring organizational information systems success: New technologies and practices. IGI Global. https://doi.org/10.4018/978-1-4666-0170-3
Cai, J., Wohn, D. Y., Mittal, A., & Sureshbabu, D. (2018). Utilitarian and hedonic motivations for live streaming shopping. In Proceedings of the 2018 ACM International Conference on Interactive Experiences for TV and Online Video (pp. 81–88). Association for Computing Machinery. https://doi.org/10.1145/3210825.3210837
Camilleri, M. A., & Falzon, L. (2021). Understanding motivations to use online streaming services: Integrating the technology acceptance model (TAM) and the uses and gratifications theory (UGT). Spanish Journal of Marketing - ESIC, 25(2), 217–238. https://doi.org/10.1108/SJME-04-2020-0074
Chen, X., Jiao, C., Ji, R., & Li, Y. (2021). Examining customer motivation and its impact on customer engagement behavior in social media: The mediating effect of brand experience. SAGE Open, 11(4). https://doi.org/10.1177/21582440211052256
Da Silva, D. V. C., Rocha, A. A. D. A., & Velloso, P. B. (2021). Mobile vs. non-mobile live-streaming: A comparative analysis of users engagement and interruption using big data from a large CDN perspective. Sensors, 21(16), Article 5616. https://doi.org/10.3390/s21165616
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38(3), 475–487. https://doi.org/10.1006/imms.1993.1022
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
Dong, L. (2015). Comments on and comparative analysis of instrumental and value rationality-oriented public administration theories. In L. Dong, Public administration theories (pp. 251–271). Palgrave Macmillan. https://doi.org/10.1057/9781137536426_11
Dong, X., Liu, X., & Xiao, X. (2023). Understanding the influencing mechanism of users' participation in live streaming shopping: A socio-technical perspective. Frontiers in Psychology, 13, Article 1082981. https://doi.org/10.3389/fpsyg.2022.1082981
El Othman, R., El Othman, R., Hallit, R., Obeid, S., & Hallit, S. (2020). Personality traits, emotional intelligence and decision-making styles in Lebanese universities medical students. BMC Psychology, 8(1), Article 46. https://doi.org/10.1186/s40359-020-00406-4
Fabra, N., & Montero, J.-P. (2023). Technology-neutral versus technology-specific procurement. The Economic Journal, 133(650), 669–705. https://doi.org/10.1093/ej/ueac075
Feenberg, A. (2002). The critical theory of technology. In A. Feenberg, Transforming technology (pp. 162–190). Oxford University Press. https://doi.org/10.1093/oso/9780195146158.003.0007
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51–90. https://doi.org/10.2307/30036519
Hagger, M. S. (2019). The reasoned action approach and the theories of reasoned action and planned behavior. In Oxford bibliographies in psychology. Oxford University Press. https://doi.org/10.1093/obo/9780199828340-0240
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202
Hermes, A., Sindermann, C., Montag, C., & Riedl, R. (2022). Exploring online and in-store purchase willingness: Associations with the Big Five personality traits, trust, and need for touch. Frontiers in Psychology, 13, Article 808500. https://doi.org/10.3389/fpsyg.2022.808500
Hill, R. J., Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention and behavior: An introduction to theory and research. Contemporary Sociology, 6(2), 244–245. https://doi.org/10.2307/2065853
Hubert, M., Blut, M., Brock, C., Backhaus, C., & Eberhardt, T. (2017). Acceptance of smartphone‐based mobile shopping: Mobile benefits, customer characteristics, perceived risks, and the impact of application context. Psychology & Marketing, 34(2), 175–194. https://doi.org/10.1002/mar.20982
Jeon, H. G., Kim, C., Lee, J., & Lee, K. C. (2021). Understanding e-commerce consumers' repeat purchase intention: The role of trust transfer and the moderating effect of neuroticism. Frontiers in Psychology, 12, Article 690039. https://doi.org/10.3389/fpsyg.2021.690039
Liu, L., Aremu, E. O., & Yoo, D. (2020). Brand marketing strategy of live streaming in mobile era: A case study of Tmall platform. Journal of East Asia Management, 1(1), 65–87. https://doi.org/10.22906/JEAM.2020.1.1.65
Liu, Z., Yang, J., & Ling, L. (2020). Exploring the influence of live streaming in mobile commerce on adoption intention from a social presence perspective. International Journal of Mobile Human Computer Interaction, 12(2), 53–71. https://doi.org/10.4018/IJMHCI.2020040104
Lv, J., Cao, C., Xu, Q., Ni, L., Shao, X., & Shi, Y. (2022). How live streaming interactions and their visual stimuli affect users' sustained engagement behaviour—A comparative experiment using live and virtual live streaming. Sustainability, 14(14), Article 8907. https://doi.org/10.3390/su14148907
Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of Management Review, 20(3), 709–734. https://doi.org/10.2307/258792
McCrae, R. R., & Costa, P. T. (2011). NEO Five-Factor Inventory—Revised [Database record]. APA PsycTests. https://doi.org/10.1037/t07553-000
Miller, B. (2021). Is technology value-neutral? Science, Technology, & Human Values, 46(1), 53–80. https://doi.org/10.1177/0162243919900965
Mohammad, N. (2021). Pengaruh shopping orientation dan online trust terhadap online shopping intention platform Shopee. PERFORMA: Jurnal Manajemen dan Start-Up Bisnis, 6(2), 180–188. https://doi.org/10.37715/jp.v6i2.2087
Morgan, R. M., & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. Journal of Marketing, 58(3), 20–38. https://doi.org/10.1177/002224299405800302
Özbek, V., Alnıaçık, Ü., Koc, F., Akkılıç, M. E., & Kaş, E. (2014). The impact of personality on technology acceptance: A study on smart phone users. Procedia - Social and Behavioral Sciences, 150, 541–551. https://doi.org/10.1016/j.sbspro.2014.09.073
Pai, F.-Y., & Huang, K.-I. (2011). Applying the technology acceptance model to the introduction of healthcare information systems. Technological Forecasting and Social Change, 78(4), 650–660. https://doi.org/10.1016/j.techfore.2010.11.007
Prastiawan, D. I., Aisjah, S., & Rofiaty, R. (2021). The effect of perceived usefulness, perceived ease of use, and social influence on the use of mobile banking through the mediation of attitude toward use. Asia Pacific Management and Business Application, 9(3), 243–260. https://doi.org/10.21776/ub.apmba.2021.009.03.4
Pratkanis, A. R., Breckler, S. J., & Greenwald, A. G. (Eds.). (2014). Attitude structure and function. Psychology Press. https://doi.org/10.4324/9781315801780
Putraa, P. (2020). Planned behavior theory in paying cash waqf. International Journal of Psychosocial Rehabilitation, 24(4), 5669–5677. https://doi.org/10.37200/IJPR/V24I4/PR201662
Putranti, I. R. (2022). Principle of technological neutrality in trade facilitations: A legal perspective. Jurnal Hukum Novelty, 13(2), 216–228. https://doi.org/10.26555/novelty.v13i2.a23177
Quintelier, E. (2014). The influence of the Big 5 personality traits on young people's political consumer behavior. Young Consumers, 15(4), 342–352. https://doi.org/10.1108/YC-09-2013-00395
Rafique, M., Rizwan, M., Batool, A., & Aslam, F. (2014). Extending TAM, in terms of trust and attitude towards the online shopping intention. Journal of Public Administration and Governance, 4(3), 90–106. https://doi.org/10.5296/jpag.v4i3.5851
Shin, Y. M., Lee, S. C., Shin, B., & Lee, H. G. (2010). Examining influencing factors of post-adoption usage of mobile internet: Focus on the user perception of supplier-side attributes. Information Systems Frontiers, 12(5), 595–606. https://doi.org/10.1007/s10796-009-9184-x
Templer, K. J. (2012). Five‐factor model of personality and job satisfaction: The importance of agreeableness in a tight and collectivistic Asian society. Applied Psychology, 61(1), 114–129. https://doi.org/10.1111/j.1464.0597.2011.00459.x
Teo, T., & Noyes, J. (2011). An assessment of the influence of perceived enjoyment and attitude on the intention to use technology among pre-service teachers: A structural equation modeling approach. Computers & Education, 57(2), 1645–1653. https://doi.org/10.1016/j.compedu.2011.03.002
Tseng, F.-C., Huang, T.-L., Cheng, T. C. E., & Teng, C.-I. (2021). Not all qualities are equal: Moderating role of online shopper conscientiousness in quality evaluation. Electronic Commerce Research and Applications, 47, Article 101056. https://doi.org/10.1016/j.elerap.2021.101056
Walczuch, R., & Lundgren, H. (2004). Psychological antecedents of institution-based consumer trust in e-retailing. Information & Management, 42(1), 159–177. https://doi.org/10.1016/j.im.2003.12.009
Wang, X., & Wu, D. (2019). Understanding user engagement mechanisms on a live streaming platform. In F. F.-H. Nah & K. Siau (Eds.), HCI in business, government and organizations. Information systems and analytics (Vol. 11589, pp. 266–275). Springer. https://doi.org/10.1007/978-3-030-22338-0_22
Williams, L. J., Hartman, N., & Cavazotte, F. (2010). Method variance and marker variables: A review and comprehensive CFA marker technique. Organizational Research Methods, 13(3), 477–514. https://doi.org/10.1177/1094428110366036
Yousaf, A., Mishra, A., & Gupta, A. (2021). 'From technology adoption to consumption': Effect of pre-adoption expectations from fitness applications on usage satisfaction, continual usage, and health satisfaction. Journal of Retailing and Consumer Services, 62, Article 102655. https://doi.org/10.1016/j.jretconser.2021.102655
Zhang, W. (2007). Trust in electronic networks of practice: An integrative model. In C. Steinfield, B. T. Pentland, M. Ackerman, & N. Contractor (Eds.), Communities and technologies 2007 (pp. 351–370). Springer. https://doi.org/10.1007/978-1-84628-905-7_18
Zhou, T., & Lu, Y. (2011). The effects of personality traits on user acceptance of mobile commerce. International Journal of Human-Computer Interaction, 27(6), 545–561. https://doi.org/10.1080/10447318.2011.555298