INVESTIGASI FAKTOR PENDUKUNG DAN PENGHAMBAT BELANJA ONLINE DI KOTA KENDARI

Authors

  • Isalman Isalman Universitas Halu Oleo
  • Farhan Ramadhani I Universitas Halu Oleo
  • Ilyas Ilyas Universitas Halu Oleo
  • Sahdarullah Sahdarullah Universitas Halu Oleo

DOI:

https://doi.org/10.38043/jimb.v7i1.3413

Keywords:

Performance Expectations; Ease Of Use, Shipping Risks, Privacy Risks, Online Purchases.

Abstract

Investigasi faktor pendukung dan penghambat belanja secara online di kota kendari. Intensitas belanja online terus meningkat. Perbaikan ekosistem penunjang terus diusahakan, tetapi sejumlah harapan belumlah di rasakan secara maksimal dan juga resiko masih terus membayangi saat belanja online. Menjadi urgen untuk mengetahui apa yang menjadi faktor pendorong dan penghambat belanja online. Penelitian dilakukan dengan pendekatan asosiatif kausal. Populasi penelitian ini adalah seluruh konsumen online, dengan jumlah sampel 204 konsumen online di kota Kendari yang dijangkau menggunakan quesioner yang dikirim via google form. Data dianalisis menggunakan aplikasi SPSS regresi linear berganda. Hasil penelitian menujukkan harapan kinerja, kemudahan penggunaan, pengaruh sosial, hedonis, dan cara pembayaran Cash On Delivery menjadi faktor pendorong belanja online yang sangat signifikan. Sementara dukungan lingkungan dan kemudahan pemesanan nampaknya belum memberikan dampak signifikan dalam mendorong intensitas belanja online. Disisi lain, resiko pengiriman produk dan resiko privasi telah menambah deretan faktor penghambat untuk berbelanja online. Sedangkan resiko kinerja produk dan resiko keamanan tidak lagi menjadi faktor penghambat belanja online yang signifikan.

Downloads

Download data is not yet available.

References

Anjum, S., & Chai, J. (2020). Drivers of Cash-on-Delivery Method of Payment in E-Commerce Shopping: Evidence From Pakistan. SAGE Open, 10(3). https://doi.org/10.1177/2158244020917392

Ariff, M. S. M., Sylvester, M., Zakuan, N., Ismail, K., & Ali, K. M. (2014). Consumer perceived risk, attitude and online shopping behaviour; Empirical evidence from Malaysia. IOP Conference Series: Materials Science and Engineering, 58(1). https://doi.org/10.1088/1757-899X/58/1/012007

Arora, S., & Sahney, S. (2018). Consumer’s webrooming conduct: an explanation using the theory of planned behavior. Asia Pacific Journal of Marketing and Logistics, 30(4), 1040–1063. https://doi.org/10.1108/APJML-08-2017-0185

Bashir, S., Khwaja, M. G., Mahmood, A., Turi, J. A., & Latif, K. F. (2021). Refining e-shoppers’ perceived risks: Development and validation of new measurement scale. Journal of Retailing and Consumer Services, 58(April 2020), 102285. https://doi.org/10.1016/j.jretconser.2020.102285

Belarmino, A., Raab, C., Tang, J., & Han, W. (2021). Exploring the motivations to use online meal delivery platforms: Before and during quarantine. International Journal of Hospitality Management, 96(June 2020), 102983. https://doi.org/10.1016/j.ijhm.2021.102983

BPS. (2020). Statistik e-commerce.

Cho, Y. C., & Sagynov, E. (2015). Exploring Factors That Affect Usefulness, Ease Of Use, Trust, And Purchase Intention In The Online Environment. International Journal of Management & Information Systems (IJMIS), 19(1), 21. https://doi.org/10.19030/ijmis.v19i1.9086

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008

Escobar-Rodríguez, T., & Carvajal-Trujillo, E. (2013). Online drivers of consumer purchase of website airline tickets. Journal of Air Transport Management, 32, 58–64. https://doi.org/10.1016/j.jairtraman.2013.06.018

Fishbein, M., Ajzen, I., & Hill, R. J. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Contemporary Sociology, 6(2), 244. https://doi.org/10.2307/2065853

Fortes, N., & Rita, P. (2016). Privacy concerns and online purchasing behaviour: Towards an integrated model. European Research on Management and Business Economics, 22(3), 167–176. https://doi.org/10.1016/j.iedeen.2016.04.002

Guo, X., Ling, K. C., & Liu, M. (2012). Evaluating factors influencing consumer satisfaction towards online shopping in China. Asian Social Science, 8(13), 40–49. https://doi.org/10.5539/ass.v8n13p40

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks. Sage, 165.

Hong, Z., & Yi, L. (2012). Research on the Influence of Perceived Risk in Consumer On-line Purchasing Decision. Physics Procedia, 24, 1304–1310. https://doi.org/10.1016/j.phpro.2012.02.195

Hsieh, M. T., & Tsao, W. C. (2014). Reducing perceived online shopping risk to enhance loyalty: A website quality perspective. Journal of Risk Research, 17(2), 241–261. https://doi.org/10.1080/13669877.2013.794152

Iglesias-Pradas, S., Pascual-Miguel, F., Hernández-García, Á., & Chaparro-Peláez, J. (2013). Barriers and drivers for non-shoppers in B2C e-commerce: A latent class exploratory analysis. Computers in Human Behavior, 29(2), 314–322. https://doi.org/10.1016/j.chb.2012.01.024

Iriani, S. S., & Andjarwati, A. L. (2020). Analysis of Perceived Usefulness, Perceived Ease of Use, and Perceived Risk Toward Online Shopping in the Era of Covid-19 Pandemic. Systematic Reviews in Pharmacy, 11(12), 313–320.

Irwan, A. M. (2019). Pengaruh Faktor Psikologis, Pribadi, Sosial dan Budaya terhadap Keputusan Pembelian Produk Fashion secara Online (Studi Kasus pada Konsumen PT. Lazada Indonesia di Kota Makassar). Forecasting: Jurnal Ilmiah Ilmu Manajemen, 1(2), 164–176. https://stiemmamuju.e-journal.id/FJIIM/article/view/21

Jaller, M., & Pahwa, A. (2020). Evaluating the environmental impacts of online shopping: A behavioral and transportation approach. Transportation Research Part D: Transport and Environment, 80, 102223. https://doi.org/10.1016/j.trd.2020.102223

Joewono, T. B., Rizki, M., Belgiawan, P. F., & Irawan, M. Z. (2020). Why do shoppers keep making online shopping trips? Learning from evidence in Bandung, Indonesia. Asian Transport Studies, 6(May), 100016. https://doi.org/10.1016/j.eastsj.2020.100016

Karami, K. A., & Wismiarsi, T. (2016). Pengaruh Risiko Pada Keputusan Belanja Online. Prosiding Seminar Nasional INDOCOMPAC, 1, 320–333.

Kim, J.-I., Lee, H. C., & Kim, H. J. (2004). Factors Affecting Online Search Intention and Online Purchase Intention. Seoul Journal of Business, 10(2), 27–48.

Kim, J., & Forsythe, S. (2010). Factors affecting adoption of product virtualization technology for online consumer electronics shopping. International Journal of Retail and Distribution Management, 38(3), 190–204. https://doi.org/10.1108/09590551011027122

Lian, J. W., & Yen, D. C. (2014). Online shopping drivers and barriers for older adults: Age and gender differences. Computers in Human Behavior, 37, 133–143. https://doi.org/10.1016/j.chb.2014.04.028

Liu, C., & Forsythe, S. (2011). Examining drivers of online purchase intensity: Moderating role of adoption duration in sustaining post-adoption online shopping. Journal of Retailing and Consumer Services, 18(1), 101–109. https://doi.org/10.1016/j.jretconser.2010.10.004

Liu, F., Lim, E. T. K., Li, H., Tan, C. W., & Cyr, D. (2020). Disentangling utilitarian and hedonic consumption behavior in online shopping: An expectation disconfirmation perspective. Information and Management, 57(3), 103199. https://doi.org/10.1016/j.im.2019.103199

Makhitha, K. M., & Ngobeni, K. (2021). The influence of demographic factors on perceived risks affecting attitude towards online shopping Online shopping in South Africa. 1–10.

Melovi?, B., Šehovi?, D., Karadži?, V., Dabi?, M., & ?irovi?, D. (2021). Determinants of Millennials’ behavior in online shopping – Implications on consumers’ satisfaction and e-business development. Technology in Society, 65(December 2020). https://doi.org/10.1016/j.techsoc.2021.101561

Nanda, A., Xu, Y., & Zhang, F. (2021). How would the COVID-19 pandemic reshape retail real estate and high streets through acceleration of E-commerce and digitalization? Journal of Urban Management, 10(2), 110–124. https://doi.org/10.1016/j.jum.2021.04.001

Orubu, O. F. (2016). The impact of perceived risk on willingness to buy in online markets. E3 Journal of Business Management and Economics, 7(1), 013–018. https://doi.org/10.18685/ejbme(7)1_ejbme-15-020

Putri, V. P. (2020). Shopping Lifestyle As Mediating Between Hedonic Shopping on Impulse Buying Online At Marketplace. Manajemen Bisnis, 10(2), 1–8. https://doi.org/10.22219/jmb.v10i2.14496

Qazi, A., Tamjidyamcholo, A., Raj, R. G., Hardaker, G., & Standing, C. (2017). Assessing consumers’ satisfaction and expectations through online opinions: Expectation and disconfirmation approach. Computers in Human Behavior, 75, 450–460. https://doi.org/10.1016/j.chb.2017.05.025

Qu, Z., Zhang, H., & Li, H. (2008). Determinants of online merchant rating: Content analysis of consumer comments about Yahoo merchants. Decision Support Systems, 46(1), 440–449. https://doi.org/10.1016/j.dss.2008.08.004

Rahman, S. ur, Khan, M. A., & Iqbal, N. (2018). Motivations and barriers to purchasing online: understanding consumer responses. South Asian Journal of Business Studies, 7(1), 111–128. https://doi.org/10.1108/SAJBS-11-2016-0088

Rita, P., Oliveira, T., & Farisa, A. (2019). The impact of e-service quality and customer satisfaction on customer behavior in online shopping. Heliyon, 5(10), e02690. https://doi.org/10.1016/J.HELIYON.2019.E02690

Samson, R., Mehta, M., & Chandani, A. (2014). Impact of Online Digital Communication on Customer Buying Decision. Procedia Economics and Finance, 11(14), 872–880. https://doi.org/10.1016/s2212-5671(14)00251-2

Shih-Tse Wang, E., & Pei-Yu Chou, N. (2014). Consumer Characteristics, Social Influence, and System Factors on Online Group-Buying Repurchasing Intention. Journal of Electronic Commerce Research, 15(2), 119–132.

Silalahi, R. Y. B., & Purba, M. P. (2021). ONLINE SHOPPING CONSUMER BEHAVIOR DURING COVID-19 PANDEMIC. Procuratio: Jurnal Ilmiah Manajemen, 9(1), 1–8.

Singh, S., & Rana, R. (2018). Effect of Demographic Factors on Consumers’ Perception of Online Shopping. Global Journal of Management And Business Research, 18(6), No 6-E.

Suhir, M., Suyadi, I., & Riyadi. (2014). Pengaruh persepsi risiko, kemudahan dan manfaat terhadap keputusan pembelian secara online. Jurnal Administrasi Bisnis, 8(1), 1–10.

Tanadi, T., Samadi, B., & Gharleghi, B. (2015). The impact of perceived risks and perceived benefits to improve an online intention among generation-Y in Malaysia. Asian Social Science, 11(26), 226–238. https://doi.org/10.5539/ass.v11n26p226

Tandon, U., Kiran, R., & Sah, A. (2017). Analyzing customer satisfaction: users perspective towards online shopping. Nankai Business Review International, 8(3), 266–288. https://doi.org/10.1108/NBRI-04-2016-0012

Tandon, U., Kiran, R., & Sah, A. N. (2016). Understanding online shopping adoption in India: Unified theory of acceptance and use of technology 2 (UTAUT2) with perceived risk application. Service Science, 8(4), 420–437. https://doi.org/10.1287/serv.2016.0154

Tandon, U., Kiran, R., & Sah, A. N. (2018). The influence of website functionality, drivers and perceived risk on customer satisfaction in online shopping: an emerging economy case. Information Systems and E-Business Management, 16(1), 57–91. https://doi.org/10.1007/s10257-017-0341-3

Tariq, A., Bashir, B., & Shad, adnan M. (2014). Factors Affecting Online Shopping Behavior of Consumers. European Journal of Social and Human Sciences, 19(3 (3)), 163–170.

Thakur, R., & Srivastava, M. (2017). A study on the impact of consumer risk perception and innovativeness on online shopping in. International Journal of Retail & Distribution Management, 43(2), 148–166.

Venkatesh, V., & Thong, J. Y. L. (2015). 350mW G-band medium power amplifier fabricated through a new method of 3D-copper additive manufacturing. 2015 IEEE MTT-S International Microwave Symposium, IMS 2015, 36(1), 157–178. https://doi.org/10.1109/MWSYM.2015.7167037

Yang, J., Sarathy, R., & Lee, J. K. (2016). The effect of product review balance and volume on online Shoppers’ risk perception and purchase intention. Decision Support Systems, 89, 66–76. https://doi.org/10.1016/j.dss.2016.06.009

Zhou, T. (2012). Examining location-based services usage from the perspectives of unified theory of acceptance and use of technolog and privacy risk. Journal of Electronic Commerce Research, 13(2), 135–144.

Downloads

Published

2022-06-25

How to Cite

1.
Isalman I, Ramadhani I F, Ilyas I, Sahdarullah S. INVESTIGASI FAKTOR PENDUKUNG DAN PENGHAMBAT BELANJA ONLINE DI KOTA KENDARI. j.imb [Internet]. 2022Jun.25 [cited 2024Nov.4];7(1). Available from: https://journal.undiknas.ac.id/index.php/manajemen/article/view/30-46

Issue

Section

Articles