Rumah.com: The Impact of Convenience, Brand Image, and Trust Towards Purchase Intention
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Aug 10, 2021
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Abstract
The purpose of this study is to explore the factors of Convenience, Brand Image and Trustt towards customer’s online purchase intention through Rumah.com’s website. A sample of 195 individuals residing within the Jabodetabek region of Indonesia participated in this empirical study. This study utilized questionnaires as the main data gathering instrument and a non-probability convenience sampling. A multivariate analysis method of Partiall Least Square-Structural Equation Modeling (PLS-SEM) was used to validate the measurement model as well as to test the relationships in the structural model. Results revealed that Trust and Brand Image have more influence in online Purchase Intention, whereas Convenience was not proven to be significantly influential. The outcome in this study suggests that when it comes to luxury purchases as with the case of property buying, customers are more concerned with the perception of Trust and Brand Image of the company, therefore monitoring a positive brand image and maintaining the trust of customers by consistently meeting expectations is a prerequisite to achieving a higher Purchase Intention among customers.
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How to Cite
Notonagoro, D., & Bernarto, I. (2021). Rumah.com: The Impact of Convenience, Brand Image, and Trust Towards Purchase Intention . Enrichment : Journal of Management, 12(1), 178-184. https://doi.org/10.35335/enrichment.v12i1.146
References
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[16] Ha, N.T., Nguyen, T.L.H., Nguyen, T.P.L., & Nguyen, T.D. (2019). The effect of trust on consumer’s online purchase intention: An integration of TAM and TPB. Management Science Letters, 9(9), 1451-1460.
[17] Oliviera, T., Alhinho, M., Rita, P. & Dhillon, G. (2017). Modeling and testing consumer trust dimensions in e-commerce. Computers in Human Behavior, 71, 153-164. doi: 10.1016/j.chb.2017.01.050
[18] Al-Debei, M., Akroush., M.N. & Ashouri, M.I. (2015). Consumer attitudes towards online shopping: The effects of trust, perceived benefits, and perceived quality. Internet Research, 25(5), 707-733.
[19] Hair, J.F., Hult, G.T.M., Ringle, C.M. & Sarstedt, M. (2017a). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Thousand Oaks, CA: Sage.
[20] Hanaysha, J. (2016). The importance of social media advertisements in enhancing brand equity: A study on fast food restaurant industry in Malaysia. International Journal of Innovation, Management and Technology, April(7.2), 46-51.
[21] Palvia, P. (2009). The role of trust in e-commerce relational exchange. A unified model. Information & Management, 46, 213-220.
[22] Wu, S.I., & Chang, H.L. (2016). The model of relationship between the perceived values and the purchase behaviors towards innovative products. Journal of Management and Strategy, 7(2), 31-45.
[23] Hair, J., Risher, J., Sarstedt, M., & Ringle, C. (2018). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24. doi: 10.1108/ebr-11-2018-0203
[24] Hair, J., Sarstedt, M., & Ringle, C. (2017b). Partial least squares structural equation modeling. Handbook of Market Research (Chapter: 15). Springer.
[2] Elseidi, R.I., & El-Baz, D. (2016). Electronic word of mouth effects on consumer’s brand attitudes, brand image and purchase intention: An empirical study in Egypt. The Business and Management Review, 7(5), 268-276.
[3] Haque, A., Anwar, N., Yasmin, F., Sarwar, A., Ibrahim, Z., & Momen, A. (2015). Purchase intention of foreign products: A study on Bangladeshi consumer perspective. SAGE Open, 5(2).
[4] Park, J.H., & Kim, M.K. (2015). Factors influencing the low usage of smart TV services by the terminal buyers in Korea. Telematics and Informatics.
[5] Pena-Garcia, N., Gil-Saura, I., Rodriguez-Orejuela, A., & Siqueria-Junior, J.R. (2020). Purchase intention and purchase behavior online: A cross-cultural approach. Heliyon, 6(6), 1-11.
[6] Cho, Y.C., & Sagynov, E. (2015). Exploring factors that affect usefuleness, ease of use, trust, and purchase intention in the online environment. International Journal of Management & Information Systems (IJMIS), 19(1), 21-36.
[7] Duarte, P., Silvab, S.C., & Ferreira, M.B. (2018). How convenient is it? Delivering online shopping convenience to enhance customer satisfaction and encourage e-WOM. Journal of Retailing and Consumer Services, 44, 161-169.
[8] Chua, E.L. Chiu, J.L & Chiu, C.L. (2020). Factors influencing trust and behavioral intention to use Airbnb service innovation in three ASEAN countries. Asia Pacific Journal of Innovation and Entrepreneruship, 14(2), 175-188.
[9] Marza, S., Idris, I., & Abror, A. (2019). The influence of convenience, enjoyment, perceived risk, and trust on the attitude toward online shopping. Advances in Economics, Business and Management Research, volume 64.
[10] Djan, I., & Adawiyyah, S.R. (2020). The effect of convenience and trust to purchase decision and its impact to customer satisfaction. International Journal of Business and Economics Research, 9(4), 263-269.
[11] Yeh, H. (2015). Effects of ICT’s innovative applications on brand name and customer’s purchase intention. International Journal of Organizational Innovation, 7(4), 31-47.
[12] Kotler, P., & Keller, K.L. (2016). Marketing management. Global Edition (Vol. 15E).
[13] Lien, C., Wen, M., Huang, L., & Wu, K. (2015). Online hotel booking: The effects of brand image, price, trust and value on purchase intentions. Asia Pacific Management Review, 20(4), 210-218.
[14] Charo, N., Sharma, P., Shaikh, S., Haseeb, A., & Sufya, M. (2015). Determining the impact of Ewom on brand image and purchase intention through adoption of online opinions. International Journal of Humanities and Management Sciences (IJHMS), 3(1), pp.41-46.
[15] Pappas, I.O. (2018). User experience in personalized online shopping: A fuzzy-set analysis. European Journal of Marketing, 52, 1679-1703. doi: 10.1108/EJM-10-2017-0707
[16] Ha, N.T., Nguyen, T.L.H., Nguyen, T.P.L., & Nguyen, T.D. (2019). The effect of trust on consumer’s online purchase intention: An integration of TAM and TPB. Management Science Letters, 9(9), 1451-1460.
[17] Oliviera, T., Alhinho, M., Rita, P. & Dhillon, G. (2017). Modeling and testing consumer trust dimensions in e-commerce. Computers in Human Behavior, 71, 153-164. doi: 10.1016/j.chb.2017.01.050
[18] Al-Debei, M., Akroush., M.N. & Ashouri, M.I. (2015). Consumer attitudes towards online shopping: The effects of trust, perceived benefits, and perceived quality. Internet Research, 25(5), 707-733.
[19] Hair, J.F., Hult, G.T.M., Ringle, C.M. & Sarstedt, M. (2017a). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Thousand Oaks, CA: Sage.
[20] Hanaysha, J. (2016). The importance of social media advertisements in enhancing brand equity: A study on fast food restaurant industry in Malaysia. International Journal of Innovation, Management and Technology, April(7.2), 46-51.
[21] Palvia, P. (2009). The role of trust in e-commerce relational exchange. A unified model. Information & Management, 46, 213-220.
[22] Wu, S.I., & Chang, H.L. (2016). The model of relationship between the perceived values and the purchase behaviors towards innovative products. Journal of Management and Strategy, 7(2), 31-45.
[23] Hair, J., Risher, J., Sarstedt, M., & Ringle, C. (2018). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24. doi: 10.1108/ebr-11-2018-0203
[24] Hair, J., Sarstedt, M., & Ringle, C. (2017b). Partial least squares structural equation modeling. Handbook of Market Research (Chapter: 15). Springer.