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Conversion of online purchase intention into actual purchase: the moderating role of transaction security and convenience

Abstract

Online retail trade in Indonesia has grown dramatically in recent years. However, it is not being followed by an increase in the transaction completion ratio, with a cart abandonment rate of up to 70 percent. This indicates that the transition from online purchase intention to actual purchase is not as simple as postulated in the theory of planned behaviour (TPB); yet, there are other factors moderating the conversion. Therefore, this study aims to develop a model analysing the moderating role of perceived transaction security and convenience in the relationship between online purchase intention and actual purchase. Model development was also motivated by critics regarding TPB’s robustness in explaining consumer purchase behaviour; therefore, this model is expected to enrich TPB by providing a more comprehensive picture in online purchase behaviour. The sample consisted of consumers who had shopped for retail products online. The proposed relationship was tested with partial least square method. Results showed that perceived transaction convenience has a positive and significant moderating effect, whereas perceived transaction security showed an insignificant moderating impact. This finding is noteworthy amid risky online purchase environment. Respondents’ characteristics and alternative payment methods might explain the insignificant moderation. As a practical implication, it is recommended that online retailers improve online transaction convenience to increase the conversion rate.

Keyword : transaction security, transaction convenience, online purchase intention, actual purchase, online retail industry, online purchase behaviour

How to Cite
Indiani, N. L. P., & Fahik, G. A. (2020). Conversion of online purchase intention into actual purchase: the moderating role of transaction security and convenience. Business: Theory and Practice, 21(1), 18-29. https://doi.org/10.3846/btp.2020.11346
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References

Akturan, U., & Tezcan, N. (2012). Mobile banking adoption of the youth market: perceptions and intentions. Marketing Intelligence and Planning, 30(4), 444–459. https://doi.org/10.1108/02634501211231928

Baymard Institute. (2019). Cart abandonment rate statistics. https://baymard.com/lists/cart-abandonment-rate

Bettman, J. R. (1973). Perceived risk and its components: A model and empirical test. Journal of Marketing Research, 10(2), 184–190. https://doi.org/10.2307/3149824

Bray, J. P. (2008). Consumer behaviour theory: approaches and models. http://eprints.bournemouth.ac.uk/ 10107/1/Consumer_Behaviour_Theory_-_Approaches_%26_Models.pdf

Celik, H. (2011). Influence of social norms, perceived playfulness and online shopping anxiety on customers’ adoption of online retail shopping. International Journal of Retail & Distribution Management, 39(6), 390–413. https://doi.org/10.1108/09590551111137967

Chang, R. D., Fang, C. J., & Tseng, Y. C. (2012). The effects of WebTrust assurance on consumers’ web purchase decision. Online Information Review, 36(2), 218–240. https://doi.org/10.1108/14684521211229048

Chen, Y. H., Hsu, I. C., & Lin, C. C. (2010). Website attributes that increase consumer purchase intention: A conjoint analysis. Journal of Business Research, 63, 1007–1014. https://doi.org/10.1016/j.jbusres.2009.01.023

Childers, T. L., Carr, C. L., Peck, J., Carson, S. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of Retailing, 77, 511–535. https://doi.org/10.1016/S0022-4359(01)00056-2

CNBC. (2019). Transaksi e-commerce RI 2018 capai Rp. 77 T, lompat 151%. https://www.cnbcindonesia.com/tech/ 20190311101823-37-59800/wow-transaksi-e-commerce-ri-2018-capai-rp-77-t-lompat-151

Cooper, D. R., & Schindler, P. S. (2014). Business research methods. New York: McGraw-Hill.

Cramer, D., & Howitt, D. (2004). The SAGE dictionary of statistics (1st Ed.). London: SAGE Publication Ltd. https://doi.org/10.4135/9780857020123

Cunningham, S. M. (1967). The major dimension of perceived risk. Risk taking and information handling in consumer behavior (pp. 82-108). Harvard University Press.

Cunningham, L. F., Gerlach, J. H., Harper, M. D., & Young, C. E. (2005). Perceived risk and the consumer buying process: internet airline reservations. International Journal of Service Industry Management, 16(4), 357–372. https://doi.org/10.1108/09564230510614004

D’Alessandro, S., Girardi, A., & Tiangsoongnern, L. (2012). Perceived risk and trust as antecedents of online purchasing behavior in the USA gemstones industry. Asia Pacific Journal of Marketing and Logistics, 24(3), 433–460. https://doi.org/10.1108/13555851211237902

Ellen, S. (2018). Slovin’s formula sampling techniques. https://sciencing.com/pps-sampling-6663947.html

Festinger, L. (1957). A theory of cognitive dissonance. Stanford CA: Stanford University Press.

Fogel, J., & Schneider, M. (2010). Understanding designer clothing purchases over the internet. Journal of Fashion Marketing and Management, 14(3), 367–396. https://doi.org/10.1108/13612021011061843

Ganac, C. G. (2018). Investigating consumer optimum stimulation level and exploratory online buying behavior. DLSU Business & Economics Review, 28(1), 67–85. https://doi.org/10.1016/S0167-8116(02)00063-0

Gao, L., & Bai, X. (2014). A unified perspective on the factors influencing consumer acceptance of internet of things technology. Asia Pacific Journal of Marketing and Logistics, 26(2), 211–231. https://doi.org/10.1108/APJML-06-2013-0061

Ghozali, I., & Latan, H. (2012). Partial Least Square: Konsep, Teknik, dan Aplikasi SmartPLS 2.0. Semarang: Badan Penerbit Universitas Diponegoro.

Guo, Y., & Barnes, S. (2011). Purchase behavior in virtual worlds: an empirical investigation in second life. Information and Management, 48, 303–312. https://doi.org/10.1016/j.im.2011.07.004

Hair, Jr J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis a global perspective (7th ed.). New Jersey: Pearson Education.

Hijrah, L. (2017). Segmentasi konsumen pada pasar online di Indonesia. Forum Ekonomi, 19(2), 210–219. http://journal.feb.unmul.ac.id/index.php/FORUMEKONOMI

Hsieh, J. Y., & Liao, P. W. (2011). Antecedents and moderators of online shopping behavior in undergraduate students. Social Behavior and Personality, 39(9), 1271–1280. https://doi.org/10.2224/sbp.2011.39.9.1271

Indiani, N. L. P., Rahyuda, I. K., Yasa, N. N. K., Sukaatmadja IPG. (2015). Perceived risk and trust as major determinants of actual purchase, transcending the influence of intention. ASEAN Marketing Journal, 7(1), 1–13. https://doi.org/10.21002/amj.v7i1.4601

Kim, M. J., Chung, N., & Lee, C. K. (2011). The effect of perceived trust on electronic commerce: shopping online for tourism products and services in South Korea. Tourism Management, 32, 256–265. https://doi.org/10.1016/j.tourman.2010.01.011

Kim, J. H., & Lennon, S. J. (2010). Information available on a website: effects on consumer’s shopping outcomes. Journal of Fashion Marketing and Management, 14(2), 247–262. https://doi.org/10.1108/13612021011046093

Kim, J., Lennon, S. J. (2013). Effects of reputation and website quality on online consumers’ emotion, perceived risk and purchase intention. Journal of Research in Interactive Marketing, 7(1), 33–56. https://doi.org/10.1108/17505931311316734

Kompas. (2018). 80 Persen Konsumen Belanja Online Orang Muda dan Wanita. https://lifestyle.kompas.com/read/2018/03/22/155001820/80-persen-konsumen-belanja-online-orang-muda-dan-wanita?page=all

Kompas. (2018). Jumlah Pembeli Online Indonesia Capai 11,9 Persen dari Populasi. https://ekonomi.kompas.com/read/2018/09/07/164100326/jumlah-pembeli-online-indonesia-capai-119-persen-dari-populasi

Kowalska, M. (2012). The internet impact on market behavior of young consumers. Journal of International Studies, 5(1), 101–106. https://www.jois.eu/files/KowalskaV5_N1.pdf

Lee, H. H. H., Au, N., & Law, R. (2013). Presentation formats of policy statements on hotel websites and privacy concerns: a multimedia learning theory perspective. Journal of Hospitality and Tourism Research, 37(4), 470–489. https://doi.org/10.1177/1096348012436384

Lendel, V., & Varmus, M. (2015). Proposal of innovative approaches of relationship marketing in business. Business: Theory and Practice, 16(1), 63–74. https://doi.org/10.3846/btp.2015.434

Lim, W. M. (2013). Toward a theory of online buyer behavior using structural equation modeling. Modern Applied Science, 7(10), 34–42. https://doi.org/10.5539/mas.v7n10p34

Lin, W. B. (2008). Construction of on-line consumer behavior models: a comparative study of industries in Taiwan. International Journal of Commerce and Management, 18(2), 123–149. https://doi.org/10.1108/10569210810895221

Ling, K. C., Daud, D. B., Piew, T. H., Keoy, K. H., & Hassan, P. (2011). Perceived risk, perceived technology, online trust for the online purchase intention in Malaysia. International Journal of Business and Management, 6(6), 167–182. https://doi.org/10.5539/ijbm.v6n6p167

Liu, C., & Forsythe, S. (2010). Post-adoption online shopping continuance. International Journal of Retail and Distribution Management, 38(2), 97–114. https://doi.org/10.1108/09590551011020110

Liu, M. T., Brock, J. L., Shi, G. C., Chu, R., & Tseng, T. H. (2013). Perceived benefits, perceived risk, and trust. Asia Pacific Journal of Marketing and Logistics, 25(2), 225–248. https://doi.org/10.1108/13555851311314031

Lowry, P. B., Moody, G., Vance, A., Jensen, M., Jenkins, J., & Wells, T. (2012). Using an elaboration likelihood approach to better understand the persuasiveness of website privacy assurance cues for online consumers. Journal of The American Society for Information Science and Technology, 63(4), 755–776. https://doi.org/10.1002/asi.21705

Marketeers. (2018). Lima kota Indonesia dengan jumlah pemb-elanja online terbesar. http://marketeers.com/lima-kota-indo-nesia-dengan-jumlah-pembelanja-online-terbesar/

Mei, J. Y., Nan, Z. Y., Ping, Z. W. (2011, 6–8 May). Decision model research of customer first online shopping based on reference group influence. In 2011 International Conference on E-Business and E-Government (ICEE). Shanghai. https://doi.org/10.1109/ICEBEG.2011.5881762

Monsuwe, T., Dellaert, B. G. C., & de Ruyter, J. C. (2004). What drives consumers to shop online? A literature review. International Journal of Service Industry Management, 15(1), 102–121. https://doi.org/10.1108/09564230410523358

Mullikin, J. L. (2003). Beyond reference price: understanding consumer’s encounter with unexpected prices. Journal of Product & Brand Management, 12(3), 140–153. https://doi.org/10.1108/10610420310476906

Negra, A., & Mzoughi, M. N. (2012). How wise are online procrastinators? A scale development. Internet Research, 22(4), 426–442. https://doi.org/10.1108/10662241211250971

Nepomuceno, M. V., Laroche, M., Richard, M. O., & Eggerd, A. (2012). Relationship between intangibility and perceived risk: moderating effect of privacy, system security and general security concern. Journal of Consumer Marketing, 29(3), 176–189. https://doi.org/10.1108/07363761211221701

Ozkan, S., Bindusara, G., & Hackney, R. (2010). Facilitating the adoption of e-payment systems: theoritical constructs and empirical analysis. Journal of Enterprise Information Management, 23(3), 305–325. https://doi.org/10.1108/17410391011036085

Park, C., & Jun, J. K. (2003). A cross-cultural comparison of internet buying behavior. International Marketing Review, 20(5), 534–553. https://doi.org/10.1108/02651330310498771

Park, C. H., & Kim, Y. G. (2006). The effect of information satisfaction and relational benefit on consumers online site commitments. Journal of Electronic Commerce in Organizations, 4(1), 70–90. https://doi.org/10.4018/jeco.2006010105

Putri, A. (2016, November). Survei E-commerce Indonesia. SWA, 24, 42–45. https://doi.org/10.25124/liski.v3i1.805

Rajamma, R. K., Paswan, A. K., & Hossain, M. M. (2009). Why do shoppers abandon shopping cart? Perceived waiting time, risk, and transaction inconvenience. Journal of Product and Brand Management, 18(3), 188–197. https://doi.org/10.1108/10610420910957816

Raman, A., & Annamalai, V. (2011). Web services and e-shopping decisions: a study on Malaysian e-Consumer. IJCA Special Issue on: Wireless Information Networks & Business Information System, 2, 54–60. https://www.researchgate.net/publication/286456862_Web_Services_and_e-Shopping_Decisions_A_Study_on_Malaysian_e-Consumer

Roy, S., Raju, A., & Mandal, S. (2017). An empirical investigation of e-retailer agility, customer satisfaction, commitment, and loyalty. Business: Theory and Practice, 18, 97–108. https://doi.org/10.3846/btp.2017.011

Sahney, S., Ghosh, K., & Shrivastava, A. (2013). Conceptualizing consumer trust in online buying behavior: an empirical inquiry and model development in Indian context. Journal of Asia Business Studies, 7(3), 278–298. https://doi.org/10.1108/JABS-Jul-2011-0038

Sarwono, J. (2013). 12 Jurus Ampuh SPSS untuk Riset Skripsi (1st ed.). Jakarta: Elex Media Computindo.

Shen, Y., Li, S., DeMoss, M. (2012). The effect of quantitative electronic word of mouth on consumer perceived product quality. International Journal of Management and Marketing Research, 5(2), 19–29. http://www.theibfr2.com/RePEc/ibf/ijmmre/ijmmr-v5n2-2012/IJMMR-V5N2-2012-2.pdf

Sheppard, B. H. (1988). The theory of reasoned action: a meta-analysis of past research with recommendations for modifications and future research. The Journal of Consumer Research, 15(3), 325–343. https://doi.org/10.1086/209170

Sims, J., & Xu, L. (2012, 27 March). Perceived risk of online shopping: differences between the UK and China. In UK Academy for Information Systems Conference Proceedings. UK. http://aisel.aisnet.org/ukais2012/25

Thongpapanl, N., & Ashraf, A. R. (2011). Enhancing online performance through website content and personalization. Journal of Computer Information Systems, 52(1), 3–13. https://doi.org/10.1080/08874417.2011.11645517

Wartaekonomi. (2019). Pertumbuhan E-Commerce Pesat di Indonesia. https://www.wartaekonomi.co.id/read216302/pertum-buhan-e-commerce-pesat-di-indonesia.html

Wilson, R. D. (2010). Using clickstream data to enhance business to business website performance. Journal of Business and Industrial Marketing, 25(3), 177–187. https://doi.org/10.1108/08858621011027768

Xu, B., Lin, Z., & Shao, B. (2010). Factors affecting consumer behaviors in online buy-it-now auctions. Internet Research, 20(5), 509–526. https://doi.org/10.1108/10662241011084086

Zhao, A. L., Lloyd, S. H., Ward, P., Gooude, M. M. H. (2008). Perceived risk and Chinese consumers’ internet banking services adoption. International Journal of Bank Marketing, 26(7), 505–525. https://doi.org/10.1108/02652320810913864

Zhao, A. L., Lewis, N. K., Lloyd, S. H., & Ward, P. (2010). Adoption of internet banking services in China: is it all about trust? International Journal of Bank Marketing, 28(1), 7–26. https://doi.org/10.1108/02652321011013562