Pengaruh persepsi manfaat, showrooming, dan webrooming terhadap niat menggunakan omnichannel: Peran moderasi persepsi risiko
Main Article Content
Abstract
With the spread of omnichannel in the retail world, offline store is no longer the center for selling products because many consumers feel that shopping online is easier and more comfortable. This research aims to analyze the influence of perceived benefits, perceived showrooming, and perceived webrooming on intention to undertake omnichannel, as well as the moderating role of perceived risk. Primary data in this research was obtained from a questionnaire distributed online using Google Forms. The total number of questionnaires processed in this research was 147 samples. This research was conducted in Surabaya with respondents covering residents of Surabaya and its surroundings. Data analysis in this research uses the Partial Least Square Structural Equation Modeling (PLS-SEM) technique, while the analytical tool used is SmartPLS 3. The results of hypothesis testing show that perceived benefits, perceived showrooming, and perceived webrooming are all proven to have a positive influence towards intention to use omnichannel. Perceived risk is proven to moderate perceived benefits on intention to use omnichannel, with a negative effect meaning that perceived risk weakens the influence of perceived benefits on intention to use omnichannel.
Dengan mulai merambahnya omnichannel di dunia ritel menyebabkan toko offline tidak lagi menjadi pusat untuk melakukan penjualan produk karena banyak konsumen yang merasa berbelanja secara online lebih mudah dan nyaman. Tujuan dari penelitian ini adalah untuk menganalisis pengaruh persepsi manfaat, persepsi showrooming, dan persepsi webrooming terhadap niat melakukan omnichannel, serta peran moderasi persepsi risiko. Data primer pada penelitian ini didapatkan dari kuesioner yang disebarkan secara online menggunakan Google Form. Total keseluruhan kuesioner yang diolah dalam penelitian ini berjumlah 147 sampel. Penelitian ini dilakukan di Surabaya dengan cakupan responden, yakni penduduk Surabaya dan sekitarnya. Analisis data dalam penelitian ini menggunakan teknik Partial Least Square Structural Equation Modeling (PLS-SEM), sedangkan alat analisis yang digunakan adalah SmartPLS 3. Hasil pengujian hipotesis menunjukkan bahwa persepsi manfaat, perceived showrooming, dan perceived webrooming, ketiganya terbukti memiliki pengaruh yang positif terhadap niat menggunakan omnichannel. Persepsi risiko terbukti memoderasi persepsi manfaat terhadap niat menggunakan omnichannel, dengan efek negatif yang berarti persepsi risiko memperlemah pengaruh persepsi manfaat terhadap niat menggunakan omnichannel.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This work is licensed under a Jurnal Manajemen Bisnis dan Kewirausahaan Creative Commons Attribution-ShareAlike 4.0 International License.
References
Akram, M. S., Malik, A., Shareef, M. A., & Awais Shakir Goraya, M. (2019). Exploring the interrelationships between technological predictors and behavioral mediators in online tax filing: The moderating role of perceived risk. Government Information Quarterly, 36(2), 237–251. https://doi.org/10.1016/j.giq.2018.12.007
Al-Debei, M. M., Akroush, M. N., & Ashouri, M. I. (2015). Consumer attitudes towards online shopping: The effects of trust, perceived benefits, and perceived web quality. Internet Research, 25(5), 707–733. https://doi.org/10.1108/IntR-05-2014-0146
Ariffin, S. K., Mohan, T., & Goh, Y. N. (2018). Influence of consumers’ perceived risk on consumers’ online purchase intention. Journal of Research in Interactive Marketing, 12(3), 309–327. https://doi.org/10.1108/JRIM-11-2017-0100
Arora, S., Parida, R. R., & Sahney, S. (2020). Understanding consumers’ showrooming behaviour: A stimulus–organism–response (S-O-R) perspective. International Journal of Retail and Distribution Management, 48(11), 1157–1176. https://doi.org/10.1108/IJRDM-01-2020-0033
Aziz, A. (2019, February 27). Kominfo: Pertumbuhan “e-commerce” Indonesia capai 78 persen. Antara News. https://jatim.antaranews.com/berita/279786/kominfo-pertumbuhan-e-commerce-indonesia-capai-78-persen
Baber, R., Kaurav, R. P. S., & Paul, J. (2020). Impact of individual market orientation on selling and customer orientation. Journal of Strategic Marketing, 28(4), 288–303. https://doi.org/10.1080/0965254X.2018.1489880
Baker, S. R., Bloom, N., Davis, S. J., Kost, K., Sammon, M., & Viratyosin, T. (2020). The unprecedented stock market reaction to COVID-19 (26945; NBER Working Paper Series). https://doi.org/10.1093/rapstu/raaa008
Chatterjee, S., Chaudhuri, R., & Vrontis, D. (2021). Examining the global retail apocalypse during the COVID-19 pandemic using strategic omnichannel management: A consumers’ data privacy and data security perspective. Journal of Strategic Marketing, 29(7), 617–632. https://doi.org/10.1080/0965254X.2021.1936132
Cheung, G. W., Cooper-Thomas, H. D., Lau, R. S., & Wang, L. C. (2024). Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations. Asia Pacific Journal of Management, 41(2), 745–783. https://doi.org/10.1007/s10490-023-09871-y
Chiu, C. M., Wang, E. T. G., Fang, Y. H., & Huang, H. Y. (2014). Understanding customers’ repeat purchase intentions in B2C e-commerce: The roles of utilitarian value, hedonic value and perceived risk. Information Systems Journal, 24(1), 85–114. https://doi.org/10.1111/j.1365-2575.2012.00407.x
Flavián, C., Gurrea, R., & Orús, C. (2020). Combining channels to make smart purchases: The role of webrooming and showrooming. Journal of Retailing and Consumer Services, 52, 101923. https://doi.org/10.1016/j.jretconser.2019.101923
Gunawan, Y., & Tjokrosaputro, M. (2024). Memprediksi niat pembelian apartemen: Peran perceived risk, subjective norms, dan perceived behavior control dengan trust sebagai mediasi dalam theory of planned behavior. Jurnal Manajemen Bisnis dan Kewirausahaan, 8(1), 54–68. https://doi.org/10.24912/jmbk.v8i1.28401
Han, M. C., & Kim, Y. (2017). Why consumers hesitate to shop online: Perceived risk and product involvement on Taobao.com. Journal of Promotion Management, 23(1), 24–44. https://doi.org/10.1080/10496491.2016.1251530
Hsiao, C. C., Yen, H. J. R., & Li, E. Y. (2012). Exploring consumer value of multi-channel shopping: A perspective of means-end theory. Internet Research, 22(3), 318–339. https://doi.org/10.1108/10662241211235671
Kang, J. Y. M. (2019). What drives omnichannel shopping behaviors?: Fashion lifestyle of social-local-mobile consumers. Journal of Fashion Marketing and Management, 23(2), 224–238. https://doi.org/10.1108/JFMM-07-2018-0088
Le, A. N. H., & Nguyen-Le, X. D. (2020). A moderated mediating mechanism of omnichannel customer experiences. International Journal of Retail and Distribution Management, 49(5), 595–615. https://doi.org/10.1108/IJRDM-02-2020-0054
Mutahar, A. M., Aldholay, A., Isaac, O., Jalal, A. N., & Kamaruddin, F. E. B. (2022). The moderating role of perceived risk in the technology acceptance model (TAM): The context of mobile banking in developing countries. Lecture Notes in Networks and Systems, 299, 389–403. https://doi.org/10.1007/978-3-030-82616-1_34
Nesar, S., & Sabir, L. Bin. (2016). Evaluation of customer preferences on showrooming and webrooming: An empirical study. Al-Barkaat Journal of Finance & Management, 8(1), 50–67. https://doi.org/10.5958/2229-4503.2016.00005.9
Nguyen, D. T. N., Pham, M., ChovancovÁ, M., & Duc hoang, S. (2023). How service operations, perceived benefit, and psychological ownership enhance customer retention in retail - Evidence in Vietnam supermarkets. Cogent Business and Management, 10(2), 2200519. https://doi.org/10.1080/23311975.2023.2200519
Nofer, M., Hinz, O., Muntermann, J., & Roßnagel, H. (2014). The economic impact of privacy violations and security breaches: A laboratory experiment. Business and Information Systems Engineering, 6(6), 339–348. https://doi.org/10.1007/s12599-014-0351-3
Ozili, P. K. (2023). The acceptable R-square in empirical modelling for social science research. In Social Research Methodology and Publishing Results: A Guide to Non-Native English Speakers (pp. 134–143). IGI Global. https://doi.org/10.4018/978-1-6684-6859-3.ch009
Qalati, S. A., Vela, E. G., Li, W., Dakhan, S. A., Hong Thuy, T. T., & Merani, S. H. (2021). Effects of perceived service quality, website quality, and reputation on purchase intention: The mediating and moderating roles of trust and perceived risk in online shopping. Cogent Business and Management, 8(1), 1869363. https://doi.org/10.1080/23311975.2020.1869363
Robbie, & Lutfi, A. (2021). Pengaruh persepsi kemudahan, persepsi kegunaan, persepsi keuntungan terhadap penggunaan nyata dengan minat penggunaan sebagai variabel mediasi pada masyarakat generasi X dalam menggunakan sistem electronic money DANA. Jurnal Manajemen Bisnis dan Kewirausahaan, 5(6), 578–582. https://doi.org/10.24912/jmbk.v5i6.15023
Shen, X. L., Li, Y. J., Sun, Y., & Wang, N. (2018). Channel integration quality, perceived fluency and omnichannel service usage: The moderating roles of internal and external usage experience. Decision Support Systems, 109, 61–73. https://doi.org/10.1016/j.dss.2018.01.006
Song, H. G., & Jo, H. (2023). Understanding the Continuance Intention of Omnichannel: Combining TAM and TPB. Sustainability (Switzerland), 15(4), 3039. https://doi.org/10.3390/su15043039
Truong, T. H. H. (2021). The drivers of omni-channel shopping intention: A case study for fashion retailing sector in Danang, Vietnam. Journal of Asian Business and Economic Studies, 28(2), 143–159. https://doi.org/10.1108/JABES-05-2020-0053
Voorhees, C. M., Brady, M. K., Calantone, R., & Ramirez, E. (2016). Discriminant validity testing in marketing: An analysis, causes for concern, and proposed remedies. Journal of the Academy of Marketing Science, 44(1), 119–134. https://doi.org/10.1007/s11747-015-0455-4
Zhang, M., Ren, C., Wang, G. A., & He, Z. (2018). The impact of channel integration on consumer responses in omni-channel retailing: The mediating effect of consumer empowerment. Electronic Commerce Research and Applications, 28, 181–193. https://doi.org/10.1016/j.elerap.2018.02.002