Future of Retailing in Metro Manila: DIY Homeowners’ Acceptance and Use of Technology in an Omnichannel Retailing
DOI:
https://doi.org/10.54536/ajebi.v3i1.2405Keywords:
Omnichannel, UTAUT, Usage Behavior, Purchase Intent, Performance Expectancy, Effort Expectancy, Habit, Social Influence, Perceived SecurityAbstract
This paper investigates the multifaceted realm of consumer behavior within Metro Manila’s hardware industry, focusing on omnichannel factors that shape purchase intentions. Drawing from Venkatesh et al.’s 2003 Unified Theory of Acceptance and Use of Technology (UTAUT) model, the researcher adapted the theoretical framework by eliminating moderators and substituting Facilitating Conditions with Habit and Perceived Security. To unravel the intricacies of consumer preferences, a quantitative approach was employed, utilizing a survey instrument administered to 400 DIY homeowners-representing a cross-section of the target population. The research methodology incorporated Slovin’s formula for sample size determination, ensuring a robust and representative dataset. Additionally, Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed to analyze the data and derive meaningful insights. This methodological approach allows for a refined exploration of the relationships between variables, offering a quantitative foundation for answering the research questions. The results elucidate the pivotal roles of Performance Expectancy and Perceived Security in positively influencing Purchase Intent. Notably, the study unveils a significant positive relationship between Purchase Intent and Usage Behavior, emphasizing the consequential impact of intention on subsequent consumer actions. This comprehensive exploration provides valuable insights for industry practitioners seeking to refine their omnichannel strategies in the hardware sector. By deciphering the intricate interplay of factors influencing consumer behavior, businesses can optimize their approaches, fostering greater engagement and loyalty among DIY homeowners in Metro Manila. This research contributes significantly to the evolving discourse on omnichannel dynamics, offering a nuanced perspective grounded in empirical evidence and a modified UTAUT framework.
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Abdillah Ericska, R., Nelloh, L. A. M., & Pratama, S. (2022). Purchase intention and behavioural use of freemium mobile games during the COVID-19 outbreak in Indonesia. Procedia Computer Science, 197, 403-409. https://doi.org/10.1016/j.procs.2021.12.156
Akanle, O., Ademuson, A. O., & Shittu, O. S. (2020). Scope and limitation of study in social research. In A. S. Jegede & U. C. Isiugo-Abanihe (Eds.), Contemporary issues in social research (pp. 105-114). Ibadan University Press.
Alkhowaiter, W. A. (2022). Use and behavioral intention of m-payment in GCC countries: Extending meta-UTAUT with trust and Islamic religiosity. Journal of Innovation & Knowledge, 7(4), 100240. https://doi.org/10.1016/j.jik.2022.100240
Al-Mamary, Y. H. S. (2022). Understanding the use of learning management systems by undergraduate university students using the UTAUT model: Credible evidence from Saudi Arabia. International Journal of Information Management Data Insights, 2(2), 100092. https://doi.org/10.1016/j.jjimei.2022.100092
Alyoussef, I. Y. (2022). Acceptance of a flipped classroom to improve university students’ learning: An empirical study on the TAM model and the unified theory of acceptance and use of technology (UTAUT). Heliyon, 8(12). https://doi.org/10.1016/j.heliyon.2022.e12529
Bland, J. M., & Altman, D. G. (1997). Cronbach’s alpha. BMJ (Clinical Research Ed.), 314(7080), 572. https://doi.org/10.1136/bmj.314.7080.572
Chen, L., Rashidin, Md. S., Song, F., Wang, Y., Javed, S., & Wang, J. (2021). Determinants of consumer’s purchase intention on fresh e-commerce platform: Perspective of UTAUT model. SAGE Open, 11(2). https://doi.org/10.1177/21582440211027875
Chopra, S. (2018). The evolution of omnichannel retailing and its impact on supply chains. Transportation Research Procedia, 30, 4-13. https://doi.org/10.1016/j.trpro.2018.09.002
Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). Thousand Oaks, CA: Sage.
Cuesta-Valiño, P., Gutiérrez-Rodríguez, P., Núnez-Barriopedro, E., & García-Henche, B. (2023). Strategic orientation towards digitization to improve supermarket loyalty in an omnichannel context. Journal of Business Research, 156, 113475. https://doi.org/10.1016/j.jbusres.2022.113475
Eriksson, E., Norrman, A., & Kembro, J. (2022). Understanding the transformation toward omnichannel logistics in grocery retail: A dynamic capabilities perspective. International Journal of Retail & Distribution Management, 50(8/9), 1095-1128. https://doi.org/10.1108/IJRDM-10-2021-0508
Farshidi, A. (2016). The new retail experience and its unaddressed privacy concerns: How RFID and mobile location analytics are collecting customer information. Case Western Reserve Journal of Law, Technology & the Internet, 7(1), 15. Retrieved from https://scholarlycommons.law.case.edu/jolti/vol7/iss1/13
Feng, Y., Zhang, J., Feng, L., & Zhu, G. (2022). Benefit from a high store visiting cost in an omnichannel with BOPS. Transportation Research Part E: Logistics and Transportation Review, 166, 102904. https://doi.org/10.1016/j.tre.2022.102904
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39-50. https://doi.org/10.1177/002224378101800104
Gao, B. (2023). Understanding smart education continuance intention in a delayed benefit context: An integration of sensory stimuli, UTAUT, and flow theory. Acta Psychologica, 234, 103856. https://doi.org/10.1016/j.actpsy.2023.103856
Goertzen, M. J. (2017). Introduction to quantitative research and data. Library Technology Reports, 53(4), 12-18.
Golder, S., Ahmed, S., Norman, G., & Booth, A. (2017). Attitudes toward the ethics of research using social media: a systematic review. Journal of Medical Internet Research, 19(6), e195.
Gregorczuk, H. (2022). Retail analytics: Smart-stores saving bricks and mortar retail or a privacy problem? Law, Technology and Humans, 4(1), 63-78. https://doi.org/10.5204/lthj.2088
Gunawan, H., Sinaga, B. L., & Purnomo, S. W. (2019). Assessment of the readiness of micro, small and medium enterprises in using e-money using the Unified Theory of Acceptance and Use of Technology (UTAUT) method. Procedia Computer Science, 161, 316-323. https://doi.org/10.1016/j.procs.2019.11.129
Hair Jr., J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2017). Advanced Issues in Partial Least Squares Structural Equation Modeling. Sage Publications. https://doi.org/10.1007/978-3-319-05542-8_15-1
Haque, U. N., & Mazumder, R. (2020). A study on the relationship between customer loyalty and customer trust in online shopping. International Journal of Online Marketing (IJOM), 10(2), 1-16.
Hickman, E., Kharouf, H., & Sekhon, H. (2020). An omnichannel approach to retailing: Demystifying and identifying the factors influencing an omnichannel experience. International Review of Retail, Distribution and Consumer Research, 30(3), 266-288. https://dx.doi.org/10.1080/09593969.2019.1694562
Hilken, T., Heller, J., & Chylinski, M. (2018). Making omnichannel an augmented reality: The current and future state of the art. Journal of Research in Interactive Marketing. Retrieved from https://doi.org/10.1108/JRIM-01-2018-0023
Holmes, T. L., & Brewer, E. C. (2020). Customer service challenges in omnichannel retailing: An exploratory study of vague language in retailer customer service policies. Atlantic Marketing Journal, 9(1), Article 6.
Huang, W. J. (2021). Literature review on omnichannel retailing. Expert Journal of Marketing, 9(1).
Hunde, M. K., Demsash, A. W., & Walle, A. D. (2023). Behavioral intention to use e-learning and its associated factors among health science students in Mettu University, Southwest Ethiopia: Using modified UTAUT model. Informatics in Medicine Unlocked, 36, 101154. https://doi.org/10.1016/j.imu.2022.101154
Isaac, O., Abdullah, Z., Aldholay, A. H., & Ameen, A. A. (2019). Antecedents and outcomes of internet usage within organisations in Yemen: An extension of the Unified Theory of Acceptance and Use of Technology (UTAUT) model. Asia Pacific Management Review, 24(4), 335-354. https://doi.org/10.1016/j.apmrv.2018.12.003
Jalayer Khalilzadeh, A., Ozturk, A. B., & Bilgihan, A. (2017). Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry. Computers in Human Behavior, 70, 460-474. https://doi.org/10.1016/j.chb.2017.01.001
Jia, S., Karp, J., Ravi, R., & Tayur, S. (2022). Effective online order acceptance policies for omnichannel fulfillment. Manufacturing & Service Operations Management, 24(3), 1650-1663.
Juaneda-Ayensa, E., Mosquera, A., & Sierra Murillo, Y. (2016). Omnichannel customer behavior: Key drivers of technology acceptance and use and their effects on purchase intention. Frontiers in Psychology, 7, 1117. https://doi.org/10.3389/fpsyg.2016.01117
Khusaini, K., Ramdani, H. C., & Ambarumanti, R. (2019). The influence of shopping and gender differences on online shopping. Jurnal Pendidikan Ekonomi Dan Bisnis (JPEB), 7(1), 22-30.
Kietzmann, J., Paschen, J., & Treen, E. (2018). Artificial intelligence in advertising: How marketers can leverage artificial intelligence along the consumer journey. Journal of Advertising Research, 58(3), 263-267.
Kjeldsen, K., Nodeland, M., Fagerstrøm, A., & Pawar, S. (2023). The relative impact of QR codes on omnichannel customer experience and purchase intention. Procedia Computer Science, 219, 1049-1056. https://doi.org/10.1016/j.procs.2023.01.383
Lee, U.-K., & Kim, H. (2022). UTAUT in Metaverse: An “Ifland” Case. Journal of Theoretical and Applied Electronic Commerce Research, 17(2), 613-635. https://doi.org/10.3390/jtaer17020032
Lipnicki, P., Lewandowski, D., Pareschi, D., Pakos, W., & Ragaini, E. (2018). Future of IoTSP–IT and OT integration. In 2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud) (pp. 203-207). IEEE.
Lohiya, A., & Mirijamdotter, A. (2021). Omnichannel transition: A panacea for retail? In 12th Scandinavian Conference on Information Systems (pp. 1-9). https://aisel.aisnet.org/scis2021/9
Mirsch, T., Lehrer, C., & Jung, R. (2016). Transitioning to an omnichannel approach: A dynamic capability perspective. In Proceedings of the Thirty Seventh International Conference on Information Systems, Dublin.
Nikolopoulou, K., Gialamas, V., & Lavidas, K. (2021). Habit, hedonic motivation, performance expectancy and technological pedagogical knowledge affect teachers’ intention to use mobile internet. Computers and Education Open, 2, 100041. https://doi.org/10.1016/j.caeo.2021.100041
Paz, M. D. R., & Delgado, F. J. (2020). Consumer experience and omnichannel behavior in various sales atmospheres. Frontiers in Psychology, 11, 1972. https://doi.org/10.3389/fpsyg.2020.01972
Purwanto, A., Asbari, M., & Santoso, T. I. (2021). Analisis Data Penelitian Marketing: Perbandingan Hasil antara Amos, SmartPLS, WarpPLS, dan SPSS Untuk Jumlah Sampel Besar. Journal of Industrial Engineering & Management Research, 2(4), 216-227.
Rahman, S. M., Carlson, J., Gudergan, S. P., Wetzels, M., & Grewal, D. (2022). Perceived Omnichannel Customer Experience (OCX): Concept, measurement, and impact. Journal of Retailing, 98(4), 611-632. https://doi.org/10.1016/j.jretai.2022.03.003
Ringle, C. M., Wende, S., & Becker, J. M. (2015). SmartPLS 3. SmartPLS GmbH.
Salvietti, G., Ziliani, C., Teller, C., Ieva, M., & Ranfagni, S. (2022). Omnichannel retailing and post-pandemic recovery: building a research agenda. International Journal of Retail & Distribution Management.
San Martín, H., & Herrero, Á. (2012). Influence of the user’s psychological factors on the online purchase intention in rural tourism: Integrating innovativeness to the UTAUT framework. Tourism Management, 33(2), 341-350. https://doi.org/10.1016/j.tourman.2011.04.003
Sarosa, S. (2019). The Role of Brand Reputation and Perceived Enjoyment in Accepting Compulsory Device’s Usage: Extending UTAUT. Procedia Computer Science, 161, 115-122. https://doi.org/10.1016/j.procs.2019.11.106
Sharifian, R., Askarian, F., Nematolahi, M., & Farhadi, P. (2014). Factors Influencing Nurses’ Acceptance of Hospital Information Systems in Iran: Application of the Unified Theory of Acceptance and Use of Technology. Health Information Management Journal, 43(3), 23-28. https://doi:10.1177/183335831404300303
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157-178.
Verhoef, P. C. (2021). Omnichannel retailing: some reflections. Journal of Strategic Marketing, 29(7), 608-616.
Wilson, E., & Lankton, N. K. (2013). Effects of Prior Use, Intention, and Habit on IT Continuance Across Sporadic Use and Frequent Use Conditions. Communications of the Association for Information Systems, 33, pp-pp. https://doi.org/10.17705/1CAIS.03303
yaz, A., & Yanartaş, M. (2020). An analysis on the unified theory of acceptance and use of technology theory (UTAUT): Acceptance of electronic document management system (EDMS). Computers in Human Behavior Reports, 2, 100032. https://doi.org/10.1016/j.chbr.2020.100032
Yee, M. L. S., & Abdullah, M. S. (2021). A Review of UTAUT and Extended Model as a Conceptual Framework in Education Research. Jurnal Pendidikan Sains Dan Matematik Malaysia, 11, 1-20. https://doi.org/10.37134/jpsmm.vol11.sp.1.2021
Zimmermann, R., & Auinger, A. (2020). Identifying Brand-Owned Touchpoints Along the Digital Retail Customer Journey – A Practical Approach. In Proceedings of the 15th International Conference on Wirtschaftsinformatik (pp. 291-305). https://doi.org/10.30844/wi_2020_y2-zimmermann
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