The effect of perceived usefulness, perceived ease of use, and lifestyle on purchase intention
DOI:
https://doi.org/10.12928/jombi.v2i1.935Abstract
Purpose-Advances in digital technology impact various business activities, such as digital marketing through e-commerce. Digital marketing through e-commerce can expand consumer reach while reducing business operating costs. In digital marketing, each seller will try to attract consumers to buy their products. Many factors certainly influence consumer intention to buy. Therefore, this study aims to determine the effect of perceived usefulness, perceived ease of use, and lifestyle on purchasing intentions in e-commerce users.
Design/Methodology/Approach-This study's population consisted of all e-commerce users in Asia, and the sample obtained was 100 people selected based on specific criteria. The data was collected by distributing questionnaires online and measuring them using a Likert scale. The data obtained from respondents was then processed using SPSS software.
Findings-Based on the test results, perceived usefulness, perceived ease of use, and lifestyle positively affect the purchase intention of e-commerce users. The perceived usefulness of this study has proven to be positive but insignificant to consumer purchase intentions. This means that perceived usefulness only partially encourages consumer buying intentions because other factors highly influence buying intentions, such as perceived ease of use, lifestyle, and other factors not examined in this study.
Research limitations/implications-This research is limited in that the respondents' sample only represents e-commerce users in Asia, so the respondents' answers cannot represent all e-commerce users worldwide. In addition, e-commerce currently circulating is diverse, and this research has not discussed specific e-commerce users, so future research is expected to use specific e-commerce user respondents.
Originality/value-Research on the factors that influence purchase intention through e-commerce in Asia still needs to be improved. This research discusses e-commerce users in the Asian region by considering the aspects of perceived usefulness, perceived ease of use, and lifestyle.
References
Abdullah, F., Ward, R., & Ahmed, E. (2016). Investigating the influence of TAM’s most commonly used external variables on students’ perceived ease of use (PEOU) and perceived usefulness (PU) of e-portfolios. Computers in Human Behavior, 63, 75–90. https://doi.org/10.1016/j.chb.2016.05.014
Akkaya, M. (2021). Understanding the impacts of lifestyle segmentation & perceived value on brand purchase intention: An empirical study in different product categories. European Research on Management and Business Economics, 27(3). https://doi.org/10.1016/j.iedeen.2021.100155
Awa, H. O., Ojiabo, O. U., & Emecheta, B. C. (2015). Integrating TAM, TPB and TOE frameworks and expanding their characteristic constructs for e-commerce adoption by SMEs. Journal of Science and Technology Policy Management, 6(1). https://doi.org/10.1108/JSTPM-04-2014-0012
Belanche, D., Flavián, M., & Pérez-Rueda, A. (2020). Mobile apps use and WOM in the food delivery sector: The role of planned behavior, perceived security and customer lifestyle compatibility. Sustainability (Switzerland), 12(10). https://doi.org/10.3390/su12104275
Bruwer, J., Roediger, B., & Herbst, F. (2017). Domain-specific market segmentation: A wine-related lifestyle (WRL) approach. Asia Pacific Journal of Marketing and Logistics, 29(1). https://doi.org/10.1108/APJML-10-2015-0161
Byun, H., Chiu, W., & Bae, J. S. (2018). Exploring the adoption of sports brand apps: An application of the modified technology acceptance model. International Journal of Asian Business and Information Management, 9(1). https://doi.org/10.4018/IJABIM.2018010105
Chin, W. W., Thatcher, J. B., Wright, R. T., & Steel, D. (2013). Controlling for common method variance in PLS analysis: The measured latent marker variable approach. Springer Proceedings in Mathematics and Statistics, 56. https://doi.org/10.1007/978-1-4614-8283-3_16
Choi, J. K., & Ji, Y. G. (2015). Investigating the importance of trust on adopting an autonomous vehicle. International Journal of Human-Computer Interaction, 31(10). https://doi.org/10.1080/10447318.2015.1070549
De’, R., Pandey, N., & Pal, A. (2020). Impact of digital surge during Covid-19 pandemic: A viewpoint on research and practice. International Journal of Information Management, 55. https://doi.org/10.1016/j.ijinfomgt.2020.102171
de Kerviler, G., Demoulin, N. T. M., & Zidda, P. (2016). Adoption of in-store mobile payment: Are perceived risk and convenience the only drivers? Journal of Retailing and Consumer Services, 31. https://doi.org/10.1016/j.jretconser.2016.04.011
Desai, V., & Vidyapeeth, B. (2019). Digital marketing: A review. International Journal of Trend in Scientific Research and Development, 5(5), 196–200.
Elov, O. K., Kholboyeva, M., & Pirmamatova, N. (2024). Consumer behavior and marketing strategy. World of Scientific News in Science, 2(2), 722–726.
Escobar-Rodríguez, T., & Bonsón-Fernández, R. (2017). Analysing online purchase intention in Spain: Fashion e-commerce. Information Systems and E-Business Management, 15(3). https://doi.org/10.1007/s10257-016-0319-6
Fan, S., Lau, R. Y. K., & Zhao, J. L. (2015). Demystifying big data analytics for business intelligence through the lens of marketing mix. Big Data Research, 2(1). https://doi.org/10.1016/j.bdr.2015.02.006
Ferreira, T., Pedrosa, I., & Bernardino, J. (2017). Business intelligence for E-commerce: Survey and research directions. Advances in Intelligent Systems and Computing, 569. https://doi.org/10.1007/978-3-319-56535-4_22
Filieri, R., McLeay, F., Tsui, B., & Lin, Z. (2018). Consumer perceptions of information helpfulness and determinants of purchase intention in online consumer reviews of services. Information and Management, 55(8). https://doi.org/10.1016/j.im.2018.04.010
Guzzo, T., Ferri, F., & Grifoni, P. (2016). A model of e-commerce adoption (MOCA): Consumer’s perceptions and behaviours. Behaviour and Information Technology, 35(3). https://doi.org/10.1080/0144929X.2015.1132770
Hair, J. F., Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109. https://doi.org/10.1016/j.jbusres.2019.11.069
Hajli, N. (2014). A study of the impact of social media on consumers. International Journal of Market Research, 56(3). https://doi.org/10.2501/IJMR-2014-025
Hanifati, A. N. (2015). The impact of food blogger toward consumer’s attitude and behavior in choosing restaurant. International Journal of Humanities and Management Sciences, 3(3).
Huang, Y. C., Chang, L. L., Yu, C. P., & Chen, J. (2019). Examining an extended technology acceptance model with experience construct on hotel consumers’ adoption of mobile applications. Journal of Hospitality Marketing and Management, 28(8). https://doi.org/10.1080/19368623.2019.1580172
Iversen, N. M., Hem, L. E., & Mehmetoglu, M. (2016). Lifestyle segmentation of tourists seeking nature-based experiences: The role of cultural values and travel motives. Journal of Travel and Tourism Marketing, 33. https://doi.org/10.1080/10548408.2014.998359
Jaradat, M. I. R. M., & Al-Mashaqba, A. M. (2014). Understanding the adoption and usage of mobile payment services by using TAM3. International Journal of Business Information Systems, 16(3). https://doi.org/10.1504/IJBIS.2014.063768
Kasemsap, K. (2017). Advocating electronic business and electronic commerce in the global marketplace. Mobile Commerce: Concepts, Methodologies, Tools, and Applications, 3. https://doi.org/10.4018/978-1-5225-2599-8.ch053
Le, T. T., Pham, H. M., Chu, N. H., Nguyen, D. K., & Ngo, H. M. (2020). Factors affecting users’ continuance intention towards mobile banking in Vietnam. American Journal of Multidisciplinary Research & Development, 2(4), 42–51.
Liao, S., Hong, J. C., Wen, M. H., Pan, Y. C., & Wu, Y. W. (2018). Applying technology acceptance model (TAM) to explore users’ behavioral intention to adopt a performance assessment system for e-book production. Eurasia Journal of Mathematics, Science and Technology Education, 14(10). https://doi.org/10.29333/ejmste/93575
Mahajan, P., & Agarwal, M. (2015). Exploring the potential of e-commerce in the digital age: Challenges and opportunities for commerce education. IUP Journal of Information Technology, 11(4).
Marakarkandy, B., Yajnik, N., & Dasgupta, C. (2017). Enabling internet banking adoption: An empirical examination with an augmented technology acceptance model (TAM). Journal of Enterprise Information Management, 30(2). https://doi.org/10.1108/JEIM-10-2015-0094
Martins, J., Branco, F., Gonçalves, R., Au-Yong-Oliveira, M., Oliveira, T., Naranjo-Zolotov, M., & Cruz-Jesus, F. (2019). Assessing the success behind using education management information systems in higher education. Telematics and Informatics, 38, 182–193. https://doi.org/10.1016/j.tele.2018.10.001
Moslehpour, M., Pham, V. K., Wong, W. K., & Bilgiçli, I. (2018). E-purchase intention of Taiwanese consumers: Sustainable mediation of perceived usefulness and perceived ease of use. Sustainability (Switzerland), 10(1). https://doi.org/10.3390/su10010234
Mulyani, V. G., Najib, M. F., & Guteres, A. D. (2021). The effect of perceived usefulness, trust and visual information toward attitude and purchase intention. Journal of Marketing Innovation (JMI), 1(01). https://doi.org/10.35313/jmi.v1i01.12
Nguyen, M., Fujioka, J., Wentlandt, K., Onabajo, N., Wong, I., Bhatia, R. S., & Stamenova, V. (2020). Using the technology acceptance model to explore health provider and administrator perceptions of the usefulness and ease of using technology in palliative care. BMC Palliative Care, 19, 1–9.
Peña-García, N., Gil-Saura, I., Rodríguez-Orejuela, A., & Siqueira-Junior, J. R. (2020). Purchase intention and purchase behavior online: A cross-cultural approach. Heliyon, 6(6). https://doi.org/10.1016/j.heliyon.2020.e04284
Prashar, S., Sai Vijay, T., & Parsad, C. (2018). Predicting online buying behaviour: A comparative study using three classifying methods. International Journal of Business Innovation and Research, 15(1). https://doi.org/10.1504/IJBIR.2018.088468
Ramya, N., & Ali, S. M. (2016). Factors affecting consumer buying behavior. International Journal of Applied Research, 2(10), 76–80.
Reyes-Mercado, P., Karthik, M., Mishra, R. K., & Rajagopal. (2017). Drivers of consumer attitudes towards online shopping in the Indian market: Analysis through an extended TAM model. International Journal of Business Innovation and Research, 13(3). https://doi.org/10.1504/IJBIR.2017.10005068
Saleem, A., Aslam, J., Kim, Y. B., Nauman, S., & Khan, N. T. (2022). Motives towards e-shopping adoption among Pakistani consumers: An application of the technology acceptance model and theory of reasoned action. Sustainability (Switzerland), 14(7). https://doi.org/10.3390/su14074180
Singh, S., Darwish, T. K., & Potočnik, K. (2016). Measuring organizational performance: A case for subjective measures. British Journal of Management, 27(1). https://doi.org/10.1111/1467-8551.12126
Stankevich, A. (2017). Explaining the consumer decision-making process: Critical literature review. Journal of International Business Research and Marketing, 2(6). https://doi.org/10.18775/jibrm.1849-8558.2015.26.3001
Van Acker, V., Goodwin, P., & Witlox, F. (2016). Key research themes on travel behavior, lifestyle, and sustainable urban mobility. International Journal of Sustainable Transportation, 10(1). https://doi.org/10.1080/15568318.2013.821003
Wilson, N., Keni, K., & Tan, P. H. P. (2021). The role of perceived usefulness and perceived ease-of-use toward satisfaction and trust which influence computer consumers’ loyalty in China. Gadjah Mada International Journal of Business, 23(3). https://doi.org/10.22146/gamaijb.32106
Zhang, T., Wang, W. Y. C., Cao, L., & Wang, Y. (2019). The role of virtual try-on technology in online purchase decision from consumers’ aspect. Internet Research, 29(3). https://doi.org/10.1108/IntR-12-2017-0540
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Journal of Management and Business Insight
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).