The Model of Purchase Decision in The Online Stores Application Integration of Technology Acceptance Model, Personal Factors, Product Quality, and Price

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Sharnuke Asrilsyak
Yuliarni Putri
Abdul Malik Sayuti
Chandra Budhi Septyandi
Wahyu Rafdinal

Abstract

This study aims to analyze the factors which influence an individual in making a purchase in online stores. It investigates the factors of technology acceptance (theory of acceptance model), personal (lifestyle and trust), product quality, and price in an online store. There are 180 who have bought products in the online stores. The data analysis technique used is the Structural Equation Model based on Partial Least Square. The results prove that from the technology acceptance explained by TAM indicates that only perceived usefulness significantly influential toward attitude. Then, it also denotes that attitude, product quality, price, lifestyle, and trust can influence purchase decisions in the online store applications by explaining the relation among technology acceptance models, personal factors (lifestyle and trust), product quality, and price.

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How to Cite
Asrilsyak, S., Putri, Y., Sayuti, A. M., Septyandi, C. B., & Rafdinal, W. (2021). The Model of Purchase Decision in The Online Stores Application Integration of Technology Acceptance Model, Personal Factors, Product Quality, and Price. Jurnal Riset Bisnis Dan Investasi, 7(2), 90-97. https://doi.org/10.35313/jrbi.v7i2.2909
Section
Regular Article

References

Ahmed, R. R. (2015). Influence of lifestyle and cultural values on impulse buying behavior. SSRN Electronic Journal, 10, 30–38. https://doi.org/10.2139/ssrn.2656033
Badan Pusat Statistik. (2019). Statistik e-commerce 2019. In Badan Pusat Statistik. https://www.bps.go.id/publication/2019/12/18/fd1e96b05342e479a83917c6/statistik-e-commerce-2019.html
Blackwell, R. D., Miniard, P. W., & Engel, F. J. (2006). Consumer Behaviour. Thomson.
Boonlertvanich, K. (2019). Service quality, satisfaction, trust, and loyalty: the moderating role of main-bank and wealth status. International Journal of Bank Marketing, 37(1), 278–302. https://doi.org/10.1108/IJBM-02-2018-0021
Chaturvedi, S., Gupta, S., & Hada, D. S. (2016). Perceived risk, trust and information seeking behavior as antecedents of online apparel buying behavior in India: An exploratory study in context of Rajasthan. International Review of Management and Marketing, 6(4), 935–943. https://doi.org/10.2139/ssrn.3204971
Chin, W. W., Peterson, R. A., & Brown, S. P. (2008). Structural equation modeling in marketing: Some practical reminders. Journal of Marketing Theory and Practice, 16(4), 287–298.
Cooper, P. L. (1984). The assessment of writing ability: A review of research. ETS Research Report Series, 1984(1), i–46. https://doi.org/10.1002/j.2330-8516.1984.tb00052.x
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
Hair, J. E., Hult, G. T., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Sage.
Hamari, J., & Keronen, L. (2017). Why do people play games? A meta-analysis. International Journal of Information Management, 37, 125–141. https://doi.org/10.1016/j.ijinfomgt.2017.01.006
Han, H. (2015). Customer retention in the medical tourism industry: Impact of quality, satisfaction, trust, and price reasonableness. Tourism Management, 46, 20–29. https://doi.org/10.1016/j.tourman.2014.06.003
Hashim, N., & Hamzah, M. I. (2014). 7P’s: A literature review of Islamic marketing and contemporary marketing mix. Procedia - Social and Behavioral Sciences, 130, 155–159. https://doi.org/10.1016/j.sbspro.2014.04.019
Havighurst, R. J., & Feigenbaum, K. (1959). Leisure and life style. American Sociologist, 64, 396–404.
Hawkins, D. I., Best, R. J., & Coney, K. A. (2001). Consumer behavior: Building marketing strategy. Irwin/McGraw Hill.
Hong, I. B. (2011). The impact of consumer trust on attitudinal loyalty and purchase intentions in B2C e-marketplaces: Intermediary trust vs. seller trust. International Journal of Information Management, 31(5), 469–479. https://doi.org/10.1016/j.ijinfomgt.2011.02.001
Hosseini, M., & Norouzi, H. (2017). Investigating the impact of consumer trust on loyalty and purchase intention of food store brands: Case study: Palladium shopping mall in Tehran. International Review of Management and Marketing, 7(4), 138–146.
Howard, J. . (1989). Consumer Behavior in Marketing Strategy. Prentice-Hall.
Išoraitė, M. (2016). Marketing mix theoretical aspects. International Journal of Research-Granthaalayah, 4(6), 25–37. https://doi.org/10.5281/zenodo.56533
Kukar-Kinney, M., Ridgway, N. M., & Monroe, K. B. (2012). The role of price in the behavior and purchase decisions of compulsive buyers. Journal of Retailing, 88(1), 63–71. https://doi.org/10.1016/j.jretai.2011.02.004
Lee, M., Tsai, T., Lee, M., & Tsai, T. (2010). What drives people to continue to play online games? An extension of technology model and theory of planned behavior. International Journal of Human-Computer Interaction, 26(6), 601–620. https://doi.org/10.1080/10447311003781318
Lee, W. I., Cheng, S. Y., & Shih, Y. T. (2017). Effects among product attributes, involvement, word-of-mouth, and purchase intention in online shopping. Asia Pacific Management Review, 22(4), 223–229. https://doi.org/10.1016/j.apmrv.2017.07.007
Lew, S., & Sulaiman, Z. (2014). Consumer purchase intention toward products made in Malaysia vs. Made in China: A conceptual paper. Procedia - Social and Behavioral Sciences, 130, 37–45. https://doi.org/10.1016/j.sbspro.2014.04.005
Mohmed, S. I., Azizan, B., & Jali, Z. (2013). The impact of trust and past experience on intention to purchase in e-commerce. International Journal of Engineering Research and Development, 7(10), 28–35.
Pogorelova, E. V., Yakhneeva, I. V., & Agafonova, A. N. (2016). Marketing mix for e-commerce. International Journal of Environmental and Science Education, 11(14), 6744–6759.
Rafdinal, W. (2019). Increasing purchase decisions on palm oil seeds through marketing mix and trust. Advances in Social Science, Education and Humanities Research, 354, 192–198. https://doi.org/10.2991/icastss-19.2019.41
Rainwater, L., Coleman, R., & Handel, G. (1959). Working Man’s Wife: Her Personality, World, and Life Style. Oceania.
Savelli, E., Murmura, F., Liberatore, L., Casolani, N., & Bravi, L. (2019). Consumer attitude and behaviour towards food quality among the young ones: empirical evidences from a survey. Total Quality Management and Business Excellence, 30(1–2), 169–183. https://doi.org/10.1080/14783363.2017.1300055
Tasin, N. B. (2017). Factors influecing customer’s trust in online shopping among executives in a bank. Malaysian Journal of Social Sciences and Humanities (MJSSH), 2(3), 46–59.
Vatjanasaregagul, L., & Thammathirat, S. (2007). The Impact Of Service Quality And Consumer Decision Factors On Brand Equity. International Business & Economics Research Journal, 6(3), 97–104.
Wang, C., & Chen, C. (2009). The impact of knowledge and trust on e-consumers’ online shopping activities : An empirical study. Journal of Computers, 4(1), 11–18.
Wang, X., & Goh, D. H. L. (2017). Video game acceptance: A meta-analysis of the extended technology acceptance model. Cyberpsychology, Behavior, and Social Networking, 20(11), 662–671. https://doi.org/10.1089/cyber.2017.0086
Yang, Y., Asaad, Y., & Dwivedi, Y. (2017). Examining the impact of gamification on intention of engagement and brand attitude in the marketing context. Computers in Human Behavior, 73, 459–469. https://doi.org/10.1016/j.chb.2017.03.066
Yousafzai, S. Y., Foxall, G. R., & Pallister, J. G. (2010). Explaining internet banking behavior: Theory of reasoned action, theory of planned behavior, or technology acceptance model. Journal of Applied Social Psychology, 40(5), 1172–1202.
Zeithaml, V. A. (1988). Consumer perceptions of price , quality, and value. Journal of Marketing, 52(3), 2–22.