PERSEPSI RISIKO DAN TINGKAH LAKU PENGGUNA TERHADAP PEMBELIAN SECARA DALAM TALIAN DI LEMBAH KLANG (Risk Perception and Consumer Behavior towards Online Purchases in the Klang Valley)
DOI:
https://doi.org/10.32890/ijms2024.31.2.11Keywords:
Pembelian dalam talian, persepsi risiko, risiko kewangan, risiko produk, e-dagangAbstract
Peningkatan pembelian secara dalam talian merupakan salah satu kesan daripada penularan wabak Covid-19 di Malaysia. Walaupun ia memudahkan urusan kehidupan harian, namun ramai yang beranggapan bahawa pembelian secara dalam talian merupakan suatu aktiviti yang berisiko. Oleh itu, kajian ini dijalankan bagi melihat hubungan antara persepsi risiko dengan tingkah laku pengguna terhadap pembelian secara dalam talian. Responden kajian ini seramai 392 orang dan kesemua responden telah menjawab soal selidik secara dalam talian. Namun, hanya 373 borang soal selidik yang lengkap diterima dan boleh digunakan. Data daripada soal selidik ini dianalisis menggunakan kaedah analisis regresi berganda. Hasil analisis mendapati bahawa risiko kewangan mempunyai hubungan negatif yang signifikan dengan tingkah laku pengguna terhadap pembelian secara dalam talian di Lembah Klang. Risiko produk dan risiko penghantaran pula mempunyai hubungan positif, manakala risiko masa tidak signifikan. Hasil kajian memberikan input kepada syarikat e-dagang dan penjual dalam talian untuk menambah baik perkhidmatan mereka. Ia juga dapat membantu untuk mengenal pasti risiko yang mungkin menjadi ancaman kepada perniagaan mereka dan mengambil tindakan mitigasi bagi mengurangkan kemungkinan dan impak, sekiranya risiko yang dikenal pasti itu berlaku.
ABSTRACT
The increase in online purchases was one of the effects of the Covid-19 outbreak in Malaysia. Although it simplifies our daily life, many still think that buying online is a risky activity. Therefore, this study was conducted to examine the relationship between risk perceptions and consumer behavior towards online purchases in the Klang Valley. A total of 392 respondents answered an online questionnaire, but only 373 questionnaires were completed and could be used. Data from the questionnaire were analyzed using the multiple regression analysis method. The results of the analysis found that financial risk perception has a significant and negative relationship with consumer behavior towards online purchases in the Klang Valley, while product risk and delivery risk perception have a positive relationship. The results of the study provide input for e-commerce and online sellers to enhance their services. It also helps identify risks that may harm their business and to take action to mitigate the likelihood and impact should the identified risks occur.
Keywords: Online purchase, risk perception, financial risk, e-commerce.
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References
Abrar, K., Naveed, M., & Ramay, M. I. (2017). Impact of perceived risk on online impulse buying tendency: An empirical study in the consumer market of Pakistan. Journal of Accounting & Marketing, 6(3), 1-6. https://doi.org/10.4172/2168-9601.1000246
Ayob, A. H., Yakob, N. A., & Ja’afar, R. (2021). E-commerce adoption in ASEAN: Testing on individual and country-level drivers. International of Journal Business Environment, 12(1), 18-36. https://doi.org/10.1504/IJBE.2021.10034147
Adnan, H. (2014). An analysis of the factors affecting online purchasing behavior of Pakistani Consumers. International Journal of Marketing Studies, 6(5), 133. https://doi.org/10.5539/ijms. v6n5p133
Aghekyan-Simonian, M., Forsythe, S., Kwon, W. S., & Chattaraman, V. (2012). The role of product brand image and online store image on perceived risks and online purchase intentions for apparel. Journal of Retailing and Consumer Services, 19(3), 325-331. https://doi.org/10.1016/j.jretconser.2012.03.006 Aishah Arshad, Maira Zafar, Iffat Fatima & Shaista Kamal Khan. (2015). The impact of perceived risk on online buying behavior. International Journal of New Technology and Research,1(8), 13-18.
Al-Shukri, H. K. H., & Udayanan. (2019). Factors infuencing online shopping intention: A study among online shoppers in Oman. International Journal of Academic Research in Business and Social Sciences, 9(3), 691-709. http://dx.doi.org/10.6007/ IJARBSS/v9-i3/5736
Alshahrani, S. (2020). Perceived risks in business-to-customers online contracts: An empirical study in Saudi Arabia. International Journal of Economics and Management Engineering, 14(6), 472-477.
Amirtha, R., Sivakumar, V. J., & Hwang, Y. (2021). Influence of perceived risk dimensions on e-shopping behavioural intention among women: A family life cycle stage perspective. Journal of Theoretical and Applied Electronic Commerce Research, 16(3), 320-355. https://doi.org/10.3390/jtaer16030022
Anon. (2013, January 2). The Klang Valley has finally arrived to be in a top spot in world business. The Star.
Anon. (2019). Selangor aims for 100% high-speed Internet penetration by 2025. The Sun Daily, 3 Januari.
Ariff, M. S. M., Sylvester, M., Zakuan, N., Ismail, K., & Ali, K. M. (2014, Jun). Consumer perceived risk, attitude and online shopping behaviour: Empirical evidence from Malaysia. IOP Conference Series: Materials Science and Engineering. IOP Publishing. https://iopscience.iop.org/article/10.1088/1757-899X/58/1/012007
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
Barnes, S., Bauer, H., Neumann, M., & Huber, F. (2007). Segmenting cyberspace: A customer typology for the Internet. European Journal of Marketing, 41(1/2), 71-93. https://doi.org/10.1108/03090560710718120
Bauer, R. A. (1960). Consumer Behavior as Risk Taking. In Hancock, R. S. (Ed)., Dynamic Marketing for a Changing World (pp. 389-398). Proceedings of the 43rd. Conference of the American Marketing Association.
Bhatnagar, A., & Ghose, S. (2004). Segmenting consumers based on the benefits and risks of Internet shopping. Journal of Business Research, 57(12), 1352-1360. https://doi.org/10.1016/ S0148-2963(03)00067-5
Bhatti, A., Saad, S., & Gbadebo, S. M. (2018). The effect of financial risk and convenience risk on online shopping behavior with the moderating role of trust. International Journal of Academic Management Science Research, 2(8), 38-42.
Bhatti, A., Saad, S., & Gbadebo, S. M. (2019). Effects of financial risk, privacy risk and product risk on online shopping behavior. Pakistan Journal of Humanities and Social Sciences, 7(4), 343-356.
Bhatti, A., & Ur Rahman, S. (2019). Perceived benefits and perceived risks effect on online shopping behavior with the mediating role of consumer purchase intention in Pakistan. International Journal of Management Studies, 26(1), 33-54. https://doi.org/10.32890/ijms.26.1.2019.10512
Bonett, D. G., & Wright, T. A. (2015). Cronbach’s alpha reliability: Intenal estimation, hypothesis testing, and sample size planning. Journal of Organizational Behavior, 36(1), 3-15. https://doi.org/10.1002/job.1960
Caterinicchia, D. (2005, November 23). Holiday shoppers guard against web risks. Knight Ridder Business New. In Chapbell, A. (2005). Eye on privacy.
Cheah, R. S., & Goh, P. K. (2019). The factor influencing consumers intention to purchase online fashion clothes in Klang Valley. Qualitative and Quantitative Research Review, 4(3), 81-112.
Cheng, C., Sakai, T., Alho, A., Cheah, L., & Ben-Akiva, M. (2021). Exploring the relationship between locational and household characteristics and e-commerce home delivery demand. Logistics, 5(2), 29. https://doi.org/10.3390/logistics5020029
Claudia, I. (2012). Perceived risk when buying online: Evidence from a semi-structured interview. Economics Series, 22(2), 63-73.
Dai, B., Forsythe, S., & Kwon, W. S. (2014). The impact of online shopping experience on risk perception and online purchase intentions: Does product category matter? Journal of Electronic Commerce Research, 15(1), 13-24.
Dan, Y., Taihai, D., & Ruiming, L. (2007). Study of types, resources and their influential factors of perceived risks in purchase online. Journal of Dalian University of Technology, 28(2), 13-19.
De Rycker, A.,Yang, N. L. F., Lee, C. C. E., & Ponnan, R. (2017). Internet use among urban Malaysians: Network diversity effects. International Conference on Communication and Media: An International Communication Association Regional Conference (i-COME’16). https://www.shsconferences.org/ articles/shsconf/abs/2017/01/shsconf_icome2017_00066/ shsconf_icome2017_00066.html
Dimovski, V., & Škerlavaj, M. (2004). Organizational learning and information-communication technologies - A promising link. Zbornik radova Ekonomskog fakulteta u Rijeci: časopis za ekonomsku teoriju i praksu, 22(1), 7-19.
Duarte, P., e Silva, 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 Service, 44, 161-169. https://doi.org/10.1016/j.jretconser.2018.06.007
Forsythe, S., Liu, C., Shannon, D., & Gardner, L. C. (2006). Development of a scale to measure the perceived benefits and risk of online shopping. Journal of Interactive Marketing, 20(2), 55-75. https://doi.org/10.1002/dir.20061
Forsythe, S. M., & Shi, B. (2003). Consumer petronage and perceptions in Internet shopping. Journal of Business Research, 56(11), 867-875. https://doi.org/10.1016/S0148-2963(01)00273-9
Garbarino, E., & Strahilevitz, M. (2004). Gender differences in the perceived risk of buying online and the effects of receiving a site recommendation. Journal of Business Research, 57(7), 768-775.
Glen, S. (2014). Cronbach‘s alpha: Simple definition, use and interpretation.https://www.statisticshowto.com/probability- and-statistics/statistics-definitions/cronbachs-alpha-spss/.
GlobalData. (2020). Covid-19 accelerates e-commerce growth in Malaysia. https://www.globaldata.com/covid-19-accelerates-e-commerce-growth-malaysia-says globaldata/ [22 April 2021].
Guru, S., Nenavani, J., Patel, V., & Bhatt, N. (2020). Ranking of perceived risks in online shopping. Decision, 47(2), 137-152. https://doi.org/10.1007/s40622-020-00241-x
Haider, A., & Nasir, N. (2016). Factors Affecting online shopping behavior of consumers in Lahore, Pakistan. Journal of Management Engineering and Information Technology, 3(6), 9-14. https://doi.org/10.5281/zenodo.250603
Hair, J. F., Black, W. C., Babib, B. J., & Anderson, R. E. (2010). Multivate data analysis: A Global perspective (7th ed.). Prentice Hall.
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
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20, 277-319. https://doi.org/10.1108/S1474-7979(2009)0000020014
Hong, L. M., Zulkiffli, W. F. W., & Hamsani, N. H. (2016). The impact of perceived risks towards customer attitude in online shopping. International Journal of Accounting, Finance and Business, 1(2), 13-21.
Horrigan, J. B. (2008). Online shopping. Pew Internet Life & American Project Report. https://texas4-h.tamu.edu/wp-content/uploads/2015/09/consumer_decision_making_web_ PIP_Online-Shopping.pdf.pdf
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/10.10 80/13669877.2013.794152
Hsu, S. H., & Luan, P. M. (2017). The perception risk of online shopping impacted on the consumers’s attitude and purchase intention in Hanoi, Vietnam. Journal of Business & Economic Policy, 4(4), 19-29.
Hyman, I. A. (1997). School discipline & school violence, the teacher variance approach. Allyn & Bacon
Ikhsani, K., & Hudaya, A. (2020). The influence of online customer behavior and brand trust on online purchase interest. In Proceedings of the International Conference on Environmental and Technology of Law, Business and Education on Post Covid 19 (ICETLAWBE 2020). http://dx.doi.org/10.4108/eai.26-9-2020.2302687 iMoney. (2020). The best online shopping platforms in Malaysia. https://www.imoney.my/articles/online-shopping-guide-malaysia/best-online-shopping-sites [21 April 2021].
Javadi, M., Dolatabadi, H., Nourbakhsh, M., Poursaeedi, A., & Asadollahi, A. (2012). An analysis of factors affecting on online shopping behaviour of consumers. International Journal of Marketing Studies 4(5), 81-98. https://doi.org/10.5539/ijms. v4n5p81
Joo, T. M., & Teng, C. E. (2023). Online purchase over pandemic Covid-19: Its growth and future in Malaysia. In Proceedings of Seventh International Congress on Information and Communication Technology (pp. 285-295). Springer, Singapore. Khairil Anuar Bahari, Muhammad Nuruddin Che Azmi, Saiful Bahri Mohd Kamal, Noorliza Zainol, Fadlina Mahat & Dahlan Abdullah. (2020). The effects of brand image, perceived trust and perceived risk on online booking intention: A conceptual model. ESTEEM Journal of Social Sciences and Humanities, 4, 203-213.
Khan, M. A., & Khan, S. (2018). Service convenience and post-purchase behaviour of online buyer: An emperical study. Journal of Service Research, 10(2), 167-188. https://doi.org/10.1007/s12927-018-0006-x
Khatibi, A., Haque, A., & Karim, K. (2006). E-commerce: A study on Internet shopping in Malaysia. Journal of Applied Science, 6(3), 696-705. https://doi.org/10.1080/09718923.2006.118925
Kim, J., & Forsythe, S. (2010). Factors affecting adoption of product virtualization technology for online consumer electronics shopping. International Journal of Retails & Distribution Management, 41(9), 688-705. https://doi.org/10.1108/09590551011027122
King, G. (1986). How not to lie with statistics: Avoiding common mistakes in quantitative political science. American Journal of Political Science, 30(3), 666-687.
Ko, H., Jung, J., Kim, J. Y., & Shim, S. W. (2004). Cross-cultural differences in perceived risk of online shopping. Journal of Interactive Advertising, 4(2), 20-29. https://doi.org/10.1080/15 252019.2004.10722084
Li, N., & Zhang, P. (2002). Consumer online shopping attitude and behavior: An assessment of research. Information System Proceedings of English Americas Conference: 508-517. https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1433&cont ext=amcis2002
Luo, X., Li, H., Zhang, J., & Shim, J. P. (2010). Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking service. Decision Support Systems, 49(2), 222-234. https://doi.org/10.1016/j.dss.2010.02.008
Makhitha, K. M., & Ngobeni, K. (2021). The influence of demographic factors on perceived risks affecting attitude towards online shopping. South African Journal of Information Management, 23(1), 1-9. http://dx.doi. org/10.4102/sajim.v23i1.1283
Marriott, H. R., & Williams, M. D. (2018). Exploring consumers perceived risk and trust for a mobile shopping: A theoretical framework and empirical study. Journal of Retailing Consumer, 42, 1 3 3-1 4 6. h t t p s : / / d o i. o r g / 1 0. 1 0 1 6 / j. jretconser.2018.01.017
Masoud, E. Y. (2013). The effect of perceived risk on online shopping in Jordan. European Journal of Business and Management, 5(6), 76-87.
Mathur, N. (2015). Perceived risk towards online shopping. International Journal of Engineering Development and Research, 3(2), 296-300.
Mitchell, V. W. (1999). Consumer perceived risk: Conceptualisations and models. European Journal of Marketing, 33(1/2), 163-195. https://doi.org/10.1108/03090569910249229
Mohd Fadzil Abdul Rashid & Ishak Ab. Ghani. (2014). Measuring spatial migration focusing in Klang Valley, Malaysia. ESTEEM Academic Journal, 10(2), 83-97.
Nawi, N. C., Al Mamun, A., Hamsani, N. H. B., & Muhayiddin, M. N. B. (2019). Effect of consumer demographic and risk factors on online purchase behaviour in Malaysia. Societies, 9(1), 1-11. https://doi.org/10.3390/soc9010010
Ogunsola, K., & Akanji, O. S. (2018). Influence of perceived risk on consumers’ online shopping behaviour in Nigeria. African Journal of Sustainable Development, 8(3), 73-96.
Onditi, A. A. (2013). Relationship between customer personality, service features and customer loyalty in banking sector: A survey of banks in Homabay County, Kenya. International Journal of Business and Social Science, 4(15), Corpus ID: 54695955.
Panwar, C. (2018). Consumer perceived risk in online shopping environment via facebook as medium. International Journal of Engineering and Technology, 7(4), 2485-2490. https://doi.org/10.14419/ijet.v7i2.18.11017
Pentz, C. D., Preez, R. D., & Swiegers, L. (2020). To bu(Y) or not to bu(Y): Perceived risk barriers to online shopping among South African generation Y consumers. Cogent Business & Management, 7(1), 1-25 https://doi.org/10.1080/23311975.202 0.1827813
Perumal, I., Abdullah, A., Supramaniam, M., Subramaniam, M., Sinniah, S., & Perumal, G. (2018). Determinants of online purchasing intention of household appliance among Malaysians in Klang Valley. International Journal of Computer Science and Network Security, 18(2), 211-220.
Peterson, R. A., & Kim, Y. (2013). On the relationship between coefficient alpha and composite reliability. Journal of Applied Psychology, 98(1),194-198. https://doi.org/10.1037/a0030767
Popli, A., & Mishra, S. (2015). Factors of perceived risk affecting online purchase decisions of consumers. Pacific Business Review International, 8(2), 49-58.
Pristiwa, N., Huang, W. T., & Ayuningtyas, D. (2017). The effect of Internet user behavior on effective marketing via online group buying in Taiwan. Proceedings of AISC-Social Science, 7, 326-333.
Samadi, M., & Yaghoob-Nejadi, A. (2009). Survey of the effect of consumers’ perceived risk on purchase intention in e-shopping. Business Intelligence Journal, 2(2), 261-275.
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2017). Partial least squares structural equation modeling. Handbook of Market Research, 26(1), 1-40.
Sheehan, K. B. (1999). An Investigation of gender differences in on-line privacy concerns and resultant behaviors. Journal of Interactive Marketing, 13(4), 24-38. https://doi.org/10.1002/ (SICI)1520-6653(199923)13:4<24::AID-DIR3>3.0.CO;
Singh, S., & Rana, R. (2018). Effect of demographic factors on consumers’ perception of online shopping. Global Journal of Management and Business Research, 18(6), 27-18.
Sinha, P., & Singh, S. (2014). Determinants of consumers’ perceived risk in online shopping: A study. Indian Journal of Marketing, 44(1),22-32.http://dx.doi.org/10.17010/ijom/2014/v44/ i1/80468
Sinha, P., & Singh, S. (2017). Comparing risks and benefits for the value enhancement of online purchases. Gadjah Mada International Journal of Business, 19(3), 307-326.
Sorce, P., Perotti, V., & Widrick, S. (2005). Attitude and age differences in online buying. International Journal of Retails & Distribution Management, 33(2), 122-132. https://doi.org/10.1108/09590550510581458
Standard Chartered. (2020). ‘Cashless and careful’: the future of spending post-COVID-19. https://av.sc.com/corp-en/content/ docs/Standard-Chartered-2020-Consumer-survey-wave-2-factsheet-and-tables.pdf [21 April 2021].
Suruhanhaya Komunikasi dan Multimedia Malaysia. (2018). E-commerce consumers survey 2018. https://www.mcmc.gov. my/skmmgovmy/media/general/pdf/ecs-2018.pdf
Suruhanjaya Komunikasi dan Multimedia Malaysia. (2020). Internet user survey 2020. https://www.mcmc.gov.my/skmmgovmy/ media/General/pdf/IUS-2020-Report.pdf
Tham, K. W., Dastane, O., Johari, Z., & Ismail, N.B. (2019). Perceived risk factors affecting consumers’ online shopping behaviour. Journal of Asian Finance, Economics and Business, 6(4), 249-260.https://doi.org/10.13106/jafeb.2019.vol6.no4.249
Venkatesh, V., & Morris, M. G. (2000). Why Don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly, 24, 115-139. https://doi.org/10.2307/3250981
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quartley, 27(3), 425-478. https://doi.org/10.2307/3250981
Verhagen, T., Meents, S., & Tan, Y. H. (2006). Perceived risk and trust associated with purchasing at electronic marketplaces. European Journal of Information Systems, 15(6), 542-555. https://doi.org/10.1057/palgrave.ejis.3000644
Zhang, L., Tan, W., Xu, Y., & Tan, G. (2012). Dimensions of consumers’ perceived risk and their influences on online consumers’ purchasing behaviour in the overall process of B2B. Communications in Information Science and Management Engineering, 2(7), 8-14.
Zhou, L., Dai, L., & Zhang, D. (2007). Online shopping acceptance model - A critical survey of consumer factors in online shopping. Journal of Electronic Commerce Research, 8(1), 41-62.
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