UTAUT EXTENSION MODEL: FAKTOR-FAKTOR PEMBENTUK BEHAVIORAL INTENTION TO REPURCHASE DALAM AKTIVITAS BELANJA ONLINE PADA MARKETPLACE C2C

Andika Putra - , & PPM School of Management , &
Pepey Kurnia - Sekolah Tinggi Manajemen PPM

Abstract


Penelitian ini untuk mengetahui faktor-faktor pembentuk niat untuk melakukan pembelian kembali seseorang pada layanan e-commerce dengan total 206 responden. Kerangka konseptual menggunakan model dasar UTAUT extension, seperti penambahan variabel confirmation, trust, satisfaction dan perceived enjoyment. Metode pengolahan data menggunakan analisis structural equation model (SEM) dengan tools statistik AMOS. Pengujian pada AMOS menggunakan pengujian measurement model dan structural model. Pada pengujian measurement model merujuk pada pengujian validitas dan reliabilitas, uji validitas dengan menggunakan kriteria minimum nilai R hitung yaitu 0.791 dan uji reliabilitas dengan minimum nilai 0.7. Hasil pengujian validitas menunjukkan 29 dari 40 item valid dengan nilai > 0.791, sedangkan untuk pengujian reliabilitas menunjukkan seluruh item reliable dengan hasil nilai reliabilitas 0.943 > 0.7. Hasil pada uji  structural model menunjukkan nilai  Chi-Square positif pada nilai 975.776, nilai TLI 0.842, nilai GFI 0.803, nilai AGFI 0.752, CFI 0.888 dan RMSEA 0.079 menunjukkan model fit. Hasil penelitian juga menunjukkan bahwa perceived usefulness dan perceived enjoyment merupakan faktor  utama yang mempengaruhi seseorang untuk melakukan pembelian kembali pada aktivitas belanja online. Selain itu faktor trust terbukti mempengaruhi perceived usefulness dan faktor confirmatory terbukti mempengaruhi perceived usefulness dan satisfaction.This research is to find the factors of intention to repurchase someone on e-commerce with 206 respondents. The conceptual framework using the basic UTAUT extension model by modifying variables such as the addition of confirmation variables, trust, satisfaction and perceived enjoyment. The method in this research using structural equation model (SEM) analysis with AMOS statistical tools. Analysis in AMOS using  measurement and structural models analysis. In the measurement analysis refers to testing of validity and reliability, test the validity by using the minimum criteria R count value is 0.791 and the reliability test with a minimum value is 0.7. The results of the validity test show 29 of the 40 items are valid with a value of > 0.791, while for reliability testing shows all reliable items with the results of the reliability value 0.943 > 0.7. The results of the structural model analysis showed a positive Chi-Square value is 975,776, TLI 0.842, GFI 0.803, AGFI value 0.752, CFI 0.888 and RMSEA 0.079 showing model fit. The results of this result show that perceived usefulness and perceived enjoyment are the main factors that influence someone to repurchase online shopping activities. In addition, factor trust is proven to affect perceived usefulness and confirmatory factors proven to affect perceived usefulness and satisfaction.

Keywords


UTAUT extension, E-Commerce, Structural Equation Model, AMOS

References


Abdul, M. A., & Steve, L. (2012). What Drives Mobile Commerce? An Empirical Evaluation of the Revised UTAUT Model. International Journal of Management and Marketing Academy, 82-99.

Al-Qeisi, & Ibrahim, K. (2009). Analyzing the Use of UTAUT Model in Explaining an Online Behaviour: Internet Banking Adoption. A thesis submitted for the degree of Doctor of Philosophy, 1-360.

Al-Qeisi, K., Dennis, C., Hegazy, A., & Abbad, M. (2015). How Viable Is the UTAUT Model in a Non-Western Context? . Canadian Center of Science and Education , 204-220.

APJII. (2017). Penetrasi dan Perilaku Penggguna Internet Indonesia (Survey 2017). Jakarta: Asosiasi Penyelenggara Jasa Internet Indonesia.

Aseanup. (2018, June 12). aseanup.com. Retrieved September 14, 2018, from aseanup Web site: https://aseanup.com/top-e-commerce-sites-indonesia/

Awuah, L. J. (2012). An Emperical Analysis of Citizens' Acceptance Decisions of Electronic-Government Services: A Modification of The Unified Theory of Acceptance and Use od technology (UTAUT) Model To Include Trust As A Basis For Investigation. ProQuest LLC., 1-186.

Cermati.com. (2016, November 6). Cermati.com. Retrieved from Cermati.com: https://www.cermati.com/artikel/mau-pintar-bisnis-online-kenali-istilah-ini

Chao, W., Victor, R. P., & Chenyan, X. (2011). An Integrated Model for Customer Online Repurchase Intention. Faculty Research & Creative Activity, 1-11.

Chian, S. Y. (2012). Factors Effecting Individuals to Adopt Mobile Banking: Emperical Evidence From The UTAUT Model. Journal of Electronic Commerce Research, 104-121.

Ching-Fu, C., & DungChun, T. (2007). How destination image and evaluative factors affect behavioral intentions? Elsevier, 1115–1122.

CNBC Indonesia. (2018, February 18). cnbcindonesia.com. Retrieved January 26, 2019, from cnbcindonesia.com: https://www.cnbcindonesia.com/lifestyle/20180218101031-33-4647/pria-indonesia-lebih-suka-belanja-online-dibanding-wanita

David, G. (2000). E-Commerce: the Role of Familiarity and Trust. elsevier, 725-737.

Dewi, A. A., Hidayanto, N. A., Shihab, R. M., & Zhu, Y.-Q. (2017). Trust Transfer and its Effects on the Continuance Usage of Mobile Service in B2C E-Marketplaces. Pacifc Asia Conference on Information Systems (PACIS), 1-17.

Dörnyei, Z. (2007). Research methods in applied linguistics. New York: Oxford University Press.

Efraim, T., David, K., Jae Kyu, L., Ting-Peng, L., & Deborrah, C. T. (2015). Electronic Commerce. New York: Springer International Publishing Switzerland .

Erin, C.-A., & Rajiv, K. (2006). An Extension of the UTAUT Model with E-Quality, Trust, and Satisfaction Constructs. Department of Management Science & Systems School of Management State University of New York at Buffalo, 82-89.

Giri, R. R., & Saad, A. N. (2015). Implementation of Analysis Model UTAUT to Online Behavior in Adopting Internet Banking in Bandung. American Scientific Publishers, 1-7.

Ilker, E., Sulaiman, A. M., & Rukayya, S. A. (2016). Comparison of Convenience Sampling and Purposive Sampling. American Journal of Theoretical and Applied Statistics, 1-4.

Imersmuda. (2018, April 13). imersmuda. Retrieved October 08, 2018, from imersmuda.com: http://imersmuda.com/perkembangan-e-commerce-di-indonesia/

Indrawati. (2015). Metodologi Penelitian Manajemen dan Bisnis Konvergensi Teknologi Komunikasi dan Informasi. Bandung: PT Refika Aditama.

Inside.id. (2018, May 28). Inside.id. Retrieved October 08, 2018, from Inside.id: https://inside.id/artikel/ECommerce-Tidak-Menakjubkan-Tanpa-Fasilitas-Perbankan

Iprice insight. (2018, July 31). iprice insight.co.id. Retrieved September 14, 2018, from iprice insight.co.id: https://iprice.co.id/insights/mapofecommerce/

Iprice insight. (2018, September 15). iprice.co.id. Retrieved September 15, 2018, from iprice.co.id: https://iprice.co.id/insights/stateofecommerce2017/

Jaya, I. G., & Sumertajaya, I. M. (2008). Pemodelan Persamaan Struktural dengan Partial LeastSquare. Semnas Matematika dan Pendidikan Matematika , 118-132.

Jeffrey, F. R., & Jaworski, B. J. (2001). e-commerce. SIngapore: McGraw-Hill Higer Education.

John, E. A., & Paul, H. S. (2004). SME Adoption of Wireless LAN Technology: Applying the UTAUT Model. Proceedings of the 7th Annual Conference of the Southern Association for Information Systems, 39-43.

Joseph, F. J., Rolph, E. A., Ronald, L. T., & William, C. B. (1995). Multivariate Data Analysis. United States of America: Prentice-Hall, Inc.

Katadata. (2018, February 12). databoks.katadata. Retrieved September 13, 13, from katadata.co.id: https://databoks.katadata.co.id/datapublish/2018/02/12/2022-penjualan-e-commerce-indonesia-mencapai-rp-16-miliar

Kenneth, C., & Carol, G. T. (2011). E-Commerce 2011, 7th edition. England: Pearson.

Liputan6. (2017, May 20). Liputan 6. Retrieved September 13, 2018, from Liputan 6 Web site: https://www.liputan6.com/tekno/read/2957050/pertumbuhan-e-commerce-indonesia-tertinggi-di-dunia

Mckinsey. (2018, August). mckensey. Retrieved August 14, 2018, from mckensey.com: https://www.mckinsey.com/featured-insights/asia-pacific/the-digital-archipelago-how-online-commerce-is-driving-indonesias-economic-development

Milad, K. (2012). The Effect of Electronic Word of Mouth, Trust and Perceived Value on Behavioral Intention from the Perspective of Consumers. International Journal of Academic Research in Economics and Management Sciences, 1-11.

MIN, Q., Ji, S., & Qu, F. (2008). Mobile Commerce User Acceptance Study in China: A Revised UTAUT Model. Tsinghua Science and Technology, 257-264.

Norizan, K. (2010). The Effect of Perceived Service Quality Dimensions on Customer Satisfaction, Trust, and Loyalty in E-Commerce Settings. Emerald Insight, 351-371.

Rakhi, T., & Mala, S. (2014). Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India. Emerald Insight, 369-392.

Saebani, & Nurjaman, A. B. (2013). Manajemen Penelitian. Bandung: CV Pustaka Setia.

Samuel, A., & Hilla, A. (2014). Review of Studies with UTAUT as Conceptual Framework. European Scientific Journal, 249-258.

Sedarmayanti, & Hidayat, S. (2011). Metodologi Penelitian. Bandung: CV Mandar Maju.

Selim, Aren, M., Guzel, E., Kabadayi, L., & Alpkan. (2013). Factors Affecting Repurchase Intention to Shop at the Same Website. Elsevier, 536-544.

Singgih, S. (2012). Analisis SEM Menggunakan AMOS. Jakarta: PT. Gramedia.

Sugiyono. (2011). Metode Penelitian Kombinasi. Bandung: Alfabeta.

Suha, A., & Anne, M. (2008). The Use of the UTAUT Model in the Adoption of E-government Services in Kuwait. Proceedings of the 41st Hawaii International Conference on System Sciences, 1-11.

Taiwo, A. A., & Downe, A. G. (2013). The Theory of User Acceptance and Use of Technology (UTAUT): A Meta-Analytic Review of Empirical Findings. Journal of Theoretical and Applied Information Technology , 48-58.

Techinasia. (2018, July 2). techinasia. Retrieved October 8, 2018, from techinasia: https://id.techinasia.com/tren-belanja-online-indonesia-ramadan

Tiago, O., & Matilde, A. (2017). Modelling and Testing Consumer Trust Dimensions in E-Commerce. Elsevier, 153-164.

Tribun News. (2018, January 30). Tribun News. Retrieved November 18, 2018, from Tribun News Web site: http://www.tribunnews.com/techno/2018/01/30/rata-rata-orang-indonesia-keluarkan-duit-rp-481-ribu-saat-belanja-online

Turban, E., Lee, J. K., Turban, D. C., King, D., & Liang, T. P. (2015). Electronic Commerce. New York: Springer.

Ulum, M., Tirta, I. M., & Anggraeni, D. (2014). Analisis structural equation modeling (SEM) untuk sampel kecil dengan pendekatan partial least square (PLS). Prosiding Seminar Nasional Matematika, Universitas Jember, 1-15.

Viswanath, V., James, Y. L., & Frank, K. Y. (2011). Extending the Two-Stage Information Systems Continuance Model: Incorporating UTAUT Predictors and the Role of Context. Information Systems Journal, 527–555.

Viswanath, V., Michael, G. M., & Gordon, B. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 425-478.

Viswanath, V., Thong, J. Y., & Xu, X. (2012). Consumer Acceptance Use of Information Technology: Extenting The Unified Theory of Acceptance And Use of Technology. MIS Quarterly, 157-178.

Yulia, W. S., & Kim, D. J. (2018). Assessing the Effects of Consumers’ Product Evaluations and Trust on Repurchase Intention in E-Commerce Environments. Elsevier, 199-219.

Yulin, F., Israr, Q., Heshan, S., Patrick, M., Elaine, R., & Kai, H. L. (2014). Trust, Satisfaction, and Online Repurchase Intention: The Moderating Role of Perceived Effectiveness of E-Commerce Institutional Mechanisms. MIS Quarterly, 402-427.

Zahir, M., & Gharleghi, B. (2015). Adoption of Internet Banking in Maldives, the Most Important Determinants. Canadian Center of Science and Education , 181-189.




DOI: https://doi.org/10.34149/jmbr.v16i2.155

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