Gender Interaction: Exploring How Shopee Mobile Technology Shapes Consumer Decisions Through the Lens of Consumer Enjoyment

Febrina Talita; Wahyuningsih Wahyuningsih; Ira Nuriya Santi

doi:10.21776/ub.jam.2024.022.03.06

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Febrina Talita
[email protected]
Departement of Management, Tadulako University, Indonesia, Indonesia
Wahyuningsih Wahyuningsih Departement of Management, Tadulako University, Indonesia, Indonesia
Ira Nuriya Santi Departement of Management, Tadulako University, Indonesia, Indonesia

Vol. 22 No. 3 (2024)

Gender Studies

Submitted April 30, 2024

Published September 1, 2024

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The evolution of e-commerce from simple websites that facilitate sales transactions to integrated mobile apps has been fuelled by a significant surge in user demand. This transformation, marked by the dominance of mobile devices in accessing e-commerce platforms such as Shopee, underscores the importance of understanding consumer behavior and preferences in the context of mobile shopping. The findings of this study provide valuable insights into how perceived usefulness (PU) and perceived ease of use (PEOU), as well as gender, influence purchasing decisions on Shopee Mobile. We conducted an online survey using Google Forms to collect the research data. A total of 210 respondents were successfully obtained and processed the data. The survey respondents are Shopee Mobile application users who live in Palu City. The PLS SEM 3 data analysis method employs the JASP tool for data processing. The study's results show that perceived usefulness and perceived ease of use do not significantly influence purchase decisions. However, when mediated by consumer enjoyment, perceived usefulness and perceived ease of use significantly influence purchase decisions; the moderating effect of gender is not significant. The findings of this study are very useful for managers or company leaders in developing technological application innovations to increase the number of application users and can influence consumer choices in making purchasing decisions.

Ahdiat Adi. 2023. Pengunjung Shopee Makin Banyak, Bagaimana E-Commerce Lain? Databoks. https://databoks.katadata.co.id/datapublish/2023/10/11/pengunjung-shopee-makin-banyak-bagaimana-e-commerce-lain.

Bachri, S., Putra, S. M., Farid, E. S., Darman, D., and Mayapada, A. G. 2023. the Digital Marketing To Influence Customer Satisfaction Mediated By Purchase Decision. Jurnal Aplikasi Manajemen, 21(3), 578–592. https://doi.org/10.21776/ub.jam.2023.021.03.03.

Bellini, S. and Aiolfi, S. 2017. The Impact of Mobile Device Use on Shopper Behaviour in Store: An Empirical Research on Grocery Retailing. International Business Research, 10(4), 58. https://doi.org/10.5539/ibr.v10n4p58.

Bhatnagar, A. and Papatla, P. 2019. Do habits influence the types of information that smartphone shoppers seek? Journal of Business Research, 94(October 2017), 89–98. https://doi.org/10.1016/j.jbusres.2018.09.012.

Brosdahl, D. J. C. and Carpenter, J. M. 2011. Shopping orientations of US males: A generational cohort comparison. Journal of Retailing and Consumer Services, 18(6), 548–554. https://doi.org/10.1016/j.jretconser.2011.07.005.

Bujisic, M., Bogicevic, V., Yang, W., Cobanoglu, C., and Bilgihan, A. 2017. “Hobson’s choice” servicescape: consumer anxiety and enjoyment. Journal of Consumer Marketing, 34(7), 577–590. https://doi.org/10.1108/JCM-04-2016-1776

Camoiras-Rodriguez, Z. and Varela, C. 2020. The influence of consumer personality traits on mobile shopping intention. Spanish Journal of Marketing - ESIC, 24(3), 331–353. https://doi.org/10.1108/SJME-02-2020-0029.

Candra Irawan, I. 2020. Analisis e-marketing terhadap keputusan pembelian konsumen secara online. Journal of Business and Banking, 9(2), 247. https://doi.org/10.14414/jbb.v9i2.1907.

Chatterjee, S., Rana, N. P., Dwivedi, Y. K., and Baabdullah, A. M. 2021. Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model. Technological Forecasting and Social Change, 170(May), 120880. https://doi.org/10.1016/j.techfore.2021.120880.

Chaudhuri, A. 2002. A study of emotion and reason in products and services. Journal of Consumer Behaviour, 1(3), 267–279. https://doi.org/10.1002/cb.72.

Cohen, J. B., Pham, M. T., and Andrade, E. B. 2018. The Nature and Role of Affect in Consumer Behavior. Handbook of Consumer Psychology, April, 297–348. https://doi.org/10.4324/9780203809570-19.

Davis, F. D. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008.

Davis, F. D., Bagozzi, R. P., and 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.

Davis, F. D., Bagozzi, R. P., and Warshaw, P. R. 1992. Extrinsic and Intrinsic Motivation to Use Computers in the Workplace. Journal of Applied Social Psychology, 22(14), 1111–1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x.

Dennis, C., Brakus, J. J., Ferrer, G. G., Mcintyre, C., Alamanos, E., and King, T. 2018. A Cross-National Study of Evolutionary Origins of Gender Shopping Styles: She Gatherer, He Hunter? Journal of International Marketing, 26(4), 38–53. https://doi.org/10.1177/1069031X18805505.

Dewanta, I. P. K. S., Supriyadinata Gorda, A. A. N. E., Darma, G. S., and Mahyuni, L. P. 2023. Influence Attitude and Behavioral Intention of the Millenial Generation to Adoption of Telemedicine Platforms in Bali in the New Normal Era. International Journal of Social Science and Business, 7(2), 369–380. https://doi.org/10.23887/ijssb.v7i2.55468.

Dos Santos, C. P. and Fernandes, D. von der H. 2011. Perceptions of justice after recovery efforts in internet purchasing: The impact on consumer trust and loyalty toward retailing sites and online shopping in general. BAR - Brazilian Administration Review, 8(3), 225–246. https://doi.org/10.1590/s1807-76922011000300002.

Eri, Y., Aminul Islam, M., and Ku Daud, K. A. 2011. Factors that Influence Customers’ Buying Intention on Shopping Online. International Journal of Marketing Studies, 3(1). https://doi.org/10.5539/ijms.v3n1p128.

Etikan, I. 2016. Comparison of Convenience Sampling and Purposive Sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1. https://doi.org/10.11648/j.ajtas.20160501.11.

Faqih, K. M. S. 2016. An empirical analysis of factors predicting the behavioral intention to adopt Internet shopping technology among non-shoppers in a developing country context: Does gender matter? Journal of Retailing and Consumer Services, 30, 140–164. https://doi.org/10.1016/j.jretconser.2016.01.016.

Fuentes, C., Bäckström, K., and Svingstedt, A. 2017. Smartphones and the reconfiguration of retailscapes: Stores, shopping, and digitalization. Journal of Retailing and Consumer Services, 39(September 2016), 270–278. https://doi.org/10.1016/j.jretconser.2017.08.006.

Gefen, D. and Straub, D. W. 1997. Gender Differences in the Perception and Use of E-Mail: An Extension to the Technology Acceptance Model. MIS Quarterly, 21, 389-400. https://doi.org/10.2307/249720.

Hair J, R, A., Babin B, and Black W. 2014. Multivariate Data Analysis.pdf. In Australia: Cengage: Vol. 7 edition. p. 758.

Hasan, B. 2010. Exploring gender differences in online shopping attitude. Computers in Human Behavior, 26(4), 597–601. https://doi.org/https://doi.org/10.1016/j.chb.2009.12.012.

Hendrayadi. 2023. V68 TUTORIAL SEM DENGAN JAMOVI MODEL SEDERHANA. Youtube.Com. https://www.youtube.com/watch?v=HQE6CFvNxIQ.

Herzallah, D., Muñoz-Leiva, F., and Liebana-Cabanillas, F. 2022. Drivers of purchase intention in Instagram Commerce. Spanish Journal of Marketing - ESIC, 26(2), 168–188. https://doi.org/10.1108/SJME-03-2022-0043.

Hornbæk, K. and Hertzum, M. 2017. Technology acceptance and user experience: A review of the experiential component in HCI. ACM Transactions on Computer-Human Interaction, 24(5). https://doi.org/10.1145/3127358.

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, 6(1), 1–55. https://doi.org/10.1080/10705519909540118.

Hwang, Y. 2010. The moderating effects of gender on e-commerce systems adoption factors: An empirical investigation. Computers in Human Behavior, 26(6), 1753–1760. https://doi.org/10.1016/j.chb.2010.07.002.

Hwang, Y. and Kim, D. J. 2007. Customer self-service systems: The effects of perceived Web quality with service contents on enjoyment, anxiety, and e-trust. Decision Support Systems, 43(3), 746–760. https://doi.org/10.1016/j.dss.2006.12.008.

Ishak, N.-A., T. Jdaitawi, M., Saleh Ibrahim, Y., and T. Mustafa, F. 2011. Moderating Effect of Gender and Age on the Relationship between Emotional Intelligence with Social and Academic Adjustment among First Year University Students. International Journal of Psychological Studies, 3(1), 78–89. https://doi.org/10.5539/ijps.v3n1p78.

Izkair, A. S. and Lakulu, M. M. 2023. the Moderating Effects of Gender on Factors Affecting the Intention To Use Mobile Learning. Journal of Information Technology Education: Research, 22, 199–233. https://doi.org/10.28945/5094.

Joseph F, H. J., G. Tomas M, H., Christian M, R., Marko, S., Nicholas P, D., and Soumya, R. 2023. Review of Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook. In Structural Equation Modeling: A Multidisciplinary Journal, 30(1). https://doi.org/10.1080/10705511.2022.2108813.

Kim, E., Libaque-Saenz, C. F., and Park, M. C. 2019. Understanding shopping routes of offline purchasers: selection of search-channels (online vs. offline) and search-platforms (mobile vs. PC) based on product types. In Service Business, 13(2). Springer Berlin Heidelberg. https://doi.org/10.1007/s11628-018-0384-7.

Kim, H. Y. and Kim, Y. K. 2008. Shopping enjoyment and store shopping modes: The moderating influence of chronic time pressure. Journal of Retailing and Consumer Services, 15(5), 410–419. https://doi.org/10.1016/j.jretconser.2007.10.003.

Kim, Y.-M., Kireyeva, A., and Youn, M.-K. 2014. Effects of SNS Characteristics upon Consumers’ Awareness, Purchase Intention, and Recommendation. Journal of Industrial Distribution and Business, 5, 27–37. https://doi.org/10.13106/jidb.2014.vol5.no1.27.

Ko, E., Kim, E. Y., and Lee, E. K. 2009. Modeling Consumer Adoption of Mobile Shopping for Fashion Products in Korea. Psychology and Marketing, 26(7), 669–687. https://doi.org/10.1002/mar.

Konuş, U., Verhoef, P. C., and Neslin, S. A. 2008. Multichannel Shopper Segments and Their Covariates. Journal of Retailing, 84(4), 398–413. https://doi.org/10.1016/j.jretai.2008.09.002.

Lestarie N and Budianto A, P. F. 2020. Pengaruh perceived ease of use dan perceived usefulness terhadap keputusan pembelian. Jurnal Bina Bangsa Ekonomika, 13(2), 194–200.

Letchumanan, M. and Muniandy, B. 2013. Migrating to e-book: A study on perceived usefulness and ease of use. Library Hi Tech News, 30(7), 10–16. https://doi.org/10.1108/LHTN-05-2013-0028.

Leys, C., Delacre, M., Mora, Y. L., Lakens, D., and Ley, C. 2019. How to classify, detect, and manage univariate and multivariate outliers, with emphasis on pre-registration. International Review of Social Psychology, 32(1), 1–10. https://doi.org/10.5334/irsp.289

Lifianto, P. P. and Februadi, A. 2023. PREDICTING CONSUMER LOYALTY TO ONLINE TAXI SERVICES USING THE TECHNOLOGY ACCEPTANCE MODEL ( TAM ). 16(1), 44–52.

Linarta, W. and Wibowo, T. 2021. Studi Deskriptif Pengaruh Tampilan Grafis Pada Marketplace Case Studi : Shopee Dan Tokopedia. Conference on Management, Business, Innovation, Education and Social Science, 1(1), 814–815.

López, F. J. M., García, C. P., Abad, J. C. G., and Ardura, I. R. 2016. Hedonic motivations in online consumption behaviour. International Journal of Business Environment, 8(2), 121. https://doi.org/10.1504/ijbe.2016.076628.

Maheswari, H. and Siregar, R. K. D. 2021. Penggunaan Technology Acceptance Model Dalam Mengukur Kualitas Layanan Platform E-Commerce. Journal of Integrated System, 4(2), 199–215. https://doi.org/10.28932/jis.v4i2.3491.

Mandilas, A., Karasavvoglou, A., Nikolaidis, M., and Tsourgiannis, L. 2013. Predicting Consumer’s Perceptions in On-line Shopping. Procedia Technology, 8(November), 435–444. https://doi.org/10.1016/j.protcy.2013.11.056.

Martini, L. K. B., Suardhika, I. N., and Dewi, L. K. C. 2022. Tik Tok As a Promotional Media To Influence Consumer Purchase Decisions. Jurnal Aplikasi Manajemen, 20(1), 170–180. https://doi.org/10.21776/ub.jam.2022.020.01.17.

Melinda, A., Wardhani, N., Handoyo, E. R., Akuntansi, J., Ekonomi, F., Dharma, U. S., Informasi, J. S., Informatika, D., Industri, F. T., Atma, U., and Yogyakarta, J. 2024. Pengaruh Moderasi Gender terhadap Niat Penggunaan Aplikasi Seabank di Kalangan Mahasiswa Yogyakarta dengan Analisis Model UTAUT2. 7(1), 69–100.

Nurzanah, I. and Sosianika, A. 2018. Promosi Penjualan dan Minat Beli : Penerapan Modifikasi Technology Acceptance Model di E-Marketplace Shopee Indonesia. Industrial Research Workshop and National Seminar, 706–714.

Pantano, E. and Gandini, A. 2017. Exploring the forms of sociality mediated by innovative technologies in retail settings. Computers in Human Behavior, 77, 367–373. https://doi.org/10.1016/j.chb.2017.02.036.

Perea Y Monsuwé, T., Dellaert, B. G. C., and De Ruyter, K. 2004. What drives consumers to shop online? A literature review. International Journal of Service Industry Management, 15(1), 102–121. https://doi.org/10.1108/09564230410523358.

Ponirin, P., Scott, D., and Heidt, T. von der. 2010. E-loyalty : its antecedents implications and differences between developed and developing. July.

Potluri, R. M. and Johnson, S. 2020. An Exploratory Research on Country-of-Origin and Its Impact on the UAE Consumers Buying Decisions. The Journal of Asian Finance, Economics and Business, 7, 455–466. https://doi.org/10.13106/jafeb.2020.vol7.no9.455.

Purnamasari, R. D. A., Sasana, H., and Novitaningtyas, I. 2021. Pengaruh Perceived Ease Of Use, Perceived Usefulness, Perceived Risk, dan Brand Image Terhadap Keputusan Pembelian Menggunakan Metode Pembayaran Paylater. Jurnal Manajemen, 13(3), 420–430. https://journal.feb.unmul.ac.id/index.php/JURNALMANAJEMEN/article/view/10130.

Rahman, M. A., Islam, M. A., Esha, B. H., Sultana, N., and Chakravorty, S. 2018. Consumer buying behavior towards online shopping: An empirical study on Dhaka city, Bangladesh. Cogent Business and Management, 5(1), 1–22. https://doi.org/10.1080/23311975.2018.1514940.

Riquelme, H. E. and Rios, R. E. 2010. The moderating effect of gender in the adoption of mobile banking. International Journal of Bank Marketing, 28(5), 328–341. https://doi.org/10.1108/02652321011064872.

Riquelme, I. P. and Román, S. 2014. The Influence of Consumers’ Cognitive and Psychographic Traits on Perceived Deception: A Comparison Between Online and Offline Retailing Contexts. Journal of Business Ethics, 119(3), 405–422. https://doi.org/10.1007/s10551-013-1628-z.

Roca, J. C., García, J. J., and de la Vega, J. J. 2009. The importance of perceived trust, security and privacy in online trading systems. Information Management and Computer Security, 17(2), 96–113. https://doi.org/10.1108/09685220910963983.

Schermelleh-Engel, K., Moosbrugger, H., and Müller, H. 2003. Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. MPR-Online, 8(May 2003), 23–74.

Sharma, A., Dwivedi, Y. K., Arya, V., and Siddiqui, M. Q. 2021. Does SMS advertising still have relevance to increase consumer purchase intention? A hybrid PLS-SEM-neural network modelling approach. Computers in Human Behavior, 124(May), 106919. https://doi.org/10.1016/j.chb.2021.106919.

Siraj, A., Zhu, Y., Taneja, S., Ali, E., Guo, J., and Chen, X. 2024. Executing marketing through a gender lens: a consumer purchase decision-making study in an emerging economy. Arab Gulf Journal of Scientific Research. https://doi.org/10.1108/AGJSR-02-2023-0064.

Sugiyono. 2021. Metode Penelitian Pendekatan Kuantitatif Kualitatif (Issue June).

Suhud, U., Wibowo, S. F., Khairi, A., and Willson, G. 2019. Applying the Theory of Acceptance Model to Consumer Acceptance of Taxi-Hailing Mobile App. Journal of Internet and E-Business Studies, 2019, 1–10. https://doi.org/10.5171/2019.382593.

Unud, E. M. 2015. PERAN GENDER DALAM MEMODERASI PENGARUH PERCEIVED BENEFIT DAN PERCEIVED COST TERHADAP NIAT MENGGUNAKAN ASURANSI JIWA DI KOTA DENPASAR. 4(9), 2831–2856.

Usefulness, P. 2003. INNOVATION ACCEPTANCE LAB A Research Group at Stuttgart University of Applied Science. INNOVATION ACCEPTANCE LAB A Research Group at Stuttgart University of Applied Science, 2, 1–5. https://acceptancelab.com/unified-theory-utaut.

Van Slyke, C., Lou, H., and Belanger, F. 2010. THE INFLUENCE OF CULTURE ON CONSUMER-ORIENTED ELECTRONIC COMMERCE ADOPTION. Journal of Electronic Commerce Research, 11(1), 30–40. https://doi.org/10.4324/9781003051497-9.

Venkatesh, V. and Morris, M. 2000. Why Don’t Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior. MIS Quarterly, 24, 115–139. https://doi.org/10.2307/3250981.

Venkatesh, V., Morris, M. G., Davis, G. B., and Davis, F. D. 2003. USER ACCEPTANCE OF INFORMATION TECHNOLOGY: TOWARD A UNIFIED VIEW. Management Information Systems Research Center, University of Minnesota, 27(3), 425–478. https://doi.org/10.1016/j.inoche.2016.03.015.

Venkatesh, V., Thong, J. Y. L., and Xu, X. 2012. Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly: Management Information Systems, 36(1), 157–178. https://doi.org/10.2307/41410412.

Wicaksono, S. R. 2022. Teori Dasar Technology Acceptance Model, Issue March. https://doi.org/10.5281/zenodo.7754254.

Widiyanti, W. 2020. Pengaruh Kemanfaatan, Kemudahan Penggunaan dan Promosi terhadap Keputusan Penggunaan E-Wallet OVO di Depok. Moneter - Jurnal Akuntansi Dan Keuangan, 7(1), 54–68. https://doi.org/10.31294/moneter.v7i1.7567.

Wong, Y. T., Osman, S., Jamaluddin, A., and Yin-Fah, B. C. 2012. Shopping motives, store attributes and shopping enjoyment among Malaysian youth. Journal of Retailing and Consumer Services, 19(2), 240–248. https://doi.org/10.1016/j.jretconser.2012.01.005.

Yang, S., Isa, S. M., Ramayah, T., Blanes, R., and Kiumarsi, S. 2020. The Effects of Destination Brand Personality on Chinese tourists’ Revisit Intention to Glasgow: An Examination across Gender. Journal of International Consumer Marketing, 32(5), 435–452. https://doi.org/10.1080/08961530.2020.1717400.

Yudiarti, E. and Puspaningrum, A. 2018. the role of trust as a mediation between the Effect of Perceived Usefulness and Perceived Ease of Use To Interest To Buy E-Book. Journal of Applied Management, 16(3).

Zuelseptia, S., Rahmiati, R., and Engriani, Y. 2018. The Influence of Perceived Risk and Perceived Ease of Use on Consumerrs Attitude and Online Purchase Intention. 57(Piceeba), 384–390. https://doi.org/10.2991/piceeba-18.2018.70.

How to Cite

Talita, F., Wahyuningsih, W. and Santi, I.N. (2024) “Gender Interaction: Exploring How Shopee Mobile Technology Shapes Consumer Decisions Through the Lens of Consumer Enjoyment”, Jurnal Aplikasi Manajemen, 22(3), pp. 672–693. doi:10.21776/ub.jam.2024.022.03.06.

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