Pengaruh Persepsi Risiko Terpapar Virus Covid-19 dan Persepsi Kegunaan E-Wallet terhadap Niat Menggunakan E-Wallet

Narto Irawan Otoluwa, Fitri Fitri

Abstract


Abstrak
Kebijakan physical distancing yang digalakkan oleh World Health Organization (WHO) telah menginspirasi konsumen untuk melakukan aktivitas tanpa bersentuhan, antara lain: transaksi pembayaran. Orang-orang khawatir bahwa virus COVID-19 dapat ditularkan melalui uang fisik. Ini mendorong mereka untuk beralih ke e-wallet. Karena kurangnya mempelajari topik ini. Penelitian ini berfokus pada pengguna e-wallet dan belum ada yang spesifik meneliti terkait risiko COVID-19 di Makassar. Penelitian ini bertujuan memeriksa efek dari risiko yang dirasakan dan kegunaan yang dirasakan oleh pelanggan sehingga berniat untuk menggunakan e-wallet selama masa pandemi COVID-19. Kajian ini merupakan kajian dengan metode survei dan pendekatan kuantitatif. Kuesioner adalah dibagikan kepada responden pengguna e-wallet di kota Makassar. Data dianalisi menggunakan teknik analisi SEM Smart PLS. Hasilnya menunjukkan bahwa terdapat efek persepsi risiko terkena COVID-19 terhadap niat menggunakan e-wallet. Selain itu, manfaat yang dirasakan sepenuhnya memediasi hubungan risiko terkena COVID-19 terhadap niat untuk menggunakan e-wallet. Penelitian ini hanya menangkap niat untuk menggunakan e-wallet selama pandemi COVID-19.

Kata Kunci: Risiko Covid 19; Kegunaan; Niat.

Abstract
The physical distancing policy promoted by the World Health Organization (WHO) has inspired consumers to carry out activities without touching, including: payment transactions. People are worried that the COVID-19 virus can be transmitted through physical money. This encourages them to switch to e-wallet. For lack of studying this topic. This study focuses on e-wallet users and there is no specific research related to the risk of COVID-19 in Makassar. This study aims to examine the effects of perceived risk and perceived usefulness by customers who intend to use e-wallet during the COVID-19 pandemic. This study is a study using survey methods and quantitative approaches. Questionnaires were distributed to respondents using e-wallet in Makassar city. The data were analyzed using the SEM Smart PLS analysis technique. The results show that there is an effect of perceived risk of being exposed to COVID-19 on intentions to use e-wallet. In addition, the perceived benefits fully mediate the relationship of the risk of contracting COVID-19 to the intention to use e-wallet. This study only captures the intention to use e-wallet during the COVID-19 pandemic.

Keywords: Covid 18 risk; utility; intention.

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References


Aji, Hendy Mustiko, Izra Berakon, and Alex Fahrur Riza. 2020. “The Effects of Subjective Norm and Knowledge about Riba on Intention to Use E-Money in Indonesia.” Journal of Islamic Marketing 12(6): 1180–96.

Aji, Hendy Mustiko, and Basu Swastha Dharmmesta. 2019. “Subjective Norm vs Dogmatism: Christian Consumer Attitude towards Islamic TV Advertising.” Journal of Islamic Marketing 10(3): 961–80.

Andrieu, Michel. 2001. “The Future of E‐money: An International Review of Policy and Regulatory Issues.” Foresight 3(6): 501–22.

Bagla, Ramesh Kumar, and Vivek Sancheti. 2018. “Gaps in Customer Satisfaction with Digital Wallets: Challenge for Sustainability.” Journal of Management Development 37(6): 442–51.

Barclay, D, C Higgins, and R Thompson. 1995. “The Partial Least Squares (PLS) Approach to Causal Modeling: Personal Computer Adoption and Use as an Illustration.” Technology Studies 2(2): 285–309.

Brown, D. 2020. “Can Cash Carry Coronavirus? World Health Organization Says Use Digital Payments When Possible.” USA Today. https://www.usatoday.com/story/money/2021/01/.

Capgemini. 2019. World Payment Report 2019. Capgemini Research Institute. https://worldpaymentsreport.com/wpcontent/.

Chin, W.W, A Gopal, and W.D Salisbury. 1997. “Advancing the Theory of Adaptive Structuration: The Development of a Scale to Measure Faithfulness of Appropriation.” Information Systems Research 8(4): 342–67.

Fan, Victoria Y., Dean T. Jamison, and Lawrence H. Summers. 2018. “Pandemic Risk: How Large Are the Expected Losses?” Bulletin of the World Health Organization 96(2): 129–34.

Fernandes, N. 2020. “Economic Effects of Coronavirus Outbreak (COVID-19) on the World Economy.” SSRN.

Fornell, C, and D.F Larcker. 1981. “Evaluating Structural Equation Models with Unobservable Variables and Measurement Error.” Journal of Marketing Research 18(1): 39–50.

Forsythe, S. M, and B Shi. 2003. “Consumer Patronage and Risk Perceptions in Internet Shopping.” Journal of Business Research 56(11): 867–75.

Goodell, J. W. 2020. “COVID-19 and Finance: Agendas for Future Research.” Finance Research Letters 35(101512).

Groves, Robert. M et al. 2009. Survey Methodology. 2nd ed. Wiley.

Habib, Sufyan, and Nawaf N. Hamadneh. 2021. “Impact of Perceived Risk on Consumers Technology Acceptance in Online Grocery Adoption amid Covid-19 Pandemic.” Sustainability (Switzerland) 13(18): 1–15.

Hair, J. F, W. C Jr, Black, B. J Babib, and R. E Anderson. 2014. Multivariate Data Analysis. 7th ed. Edinburgh.

Hair, J.F, C.M Ringle, and M Sarstedt. 2011. “PLS-SEM: Indeed a Silver Bullet.” The Journal of Marketing Theory and Practice 19(2): 139–52.

Harahap, Dedy Ansari. 2018. “Perilaku Belanja Online Di Indonesia: Studi Kasus.” JRMSI - Jurnal Riset Manajemen Sains Indonesia 9(2): 193–213.

Hasan, Md. Kamrul, Ahmed Rageh Ismail, and MD. Faridul Islam. 2017. “Tourist Risk Perceptions and Revisit Intention: A Critical Review of Literature.” http://www.editorialmanager.com/cogentbusiness 4(1). https://www.tandfonline.com/doi/abs/10.1080/23311975.2017.1412874 (November 2, 2021).

Henseler, Jörg, Christian M. Ringle, and Marko Sarstedt. 2014. “A New Criterion for Assessing Discriminant Validity in Variance-Based Structural Equation Modeling.” Journal of the Academy of Marketing Science 43(1): 115–35.

Hidayat, Wahyu, and Nur Asmawati Lawahid. 2020. Metode Fuzzy Delphi Untuk Penelitian Sosial. Bandung: Alfabeta.

Im, Il, Yongbeom Kim, and Hyo Joo Han. 2008. “The Effects of Perceived Risk and Technology Type on Users’ Acceptance of Technologies.” Information & Management 45(1): 1–9.

Ivanov, D. 2020. “Predicting the Impacts of Epidemic Outbreaks on Global Supply Chains: A Simulation-Based Analysis on the Coronavirus Outbreak (COVID-19/SARS-CoV-2) Case.” Transportation Research Part E: Logistics and Transportation Review 136: 1–14.

Kassim, Normalini Md, and T. Ramayah. 2015. “Perceived Risk Factors Influence on Intention to Continue Using Internet Banking among Malaysians:” http://dx.doi.org/10.1177/0972150915569928 16(3): 393–414. https://journals.sagepub.com/doi/10.1177/0972150915569928 (November 2, 2021).

Ko, Hanjun, Jaemin Jung, Jooyoung Kim, and Sung Wook Shim. 2004. “Cross-Cultural Differences in Perceived Risk of Online Shopping.” Journal of Interactive Advertising 4(2): 20–29.

Leong, L.-Y, T.-S Hew, K.-B Ooi, and J. W. Jun. 2020. “Predicting Mobile Wallet Resistance: A Two-Staged Structural Equation Modeling-Artificial Neural Network Approach.” International Journal of Information Management 51: 1–24.

Li, Heng et al. 2020. “Coronavirus Disease 2019 (COVID-19): Current Status and Future Perspectives.” International Journal of Antimicrobial Agents 55(5): 105951.

Lu, Hsi Peng, Chin Lung Hsu, and Hsiu Ying Hsu. 2005. “An Empirical Study of the Effect of Perceived Risk upon Intention to Use Online Applications.” Information Management & Computer Security 13(2): 106–20.

Marafon, Daiane Lampugnani et al. 2018. “Perceived Risk and Intention to Use Internet Banking: The Effects of Self-Confidence and Risk Acceptance.” International Journal of Bank Marketing 36(2): 277–89.

Marria, V. 2008. “What a Cashless Society Could Mean for the Future.” Forbes. https://www.forbes.com/sites/vishalmarria/2018/12/ 21/what-a-cashless-society-could-mean-for-thefuture/# 77c7528a3263.

Maser, B, and K Weiermair. 1998. “Travel Decision-Making: From the Vantage Point of Perceived Risk and Information Preferences.” Journal of Travel & Tourism Marketing 7(4): 107–21.

Nicola, Maria et al. 2020. “The Socio-Economic Implications of the Coronavirus Pandemic (COVID-19): A Review.” International Journal of Surgery 78(March): 185–93. https://doi.org/10.1016/j.ijsu.2020.04.018.

Nielsen. 2020. “Asian Consumers Are Rethinking How They Eat Post Covid-19.” https://www.nielsen.com/id/en/insights/article/ 2020/asian-consumers-are-rethinking-how-they-eatpost- covid-19/ (July 10, 2021).

Oh, S.-H, H.-J Paek, and T Hove. 2015. “Cognitive and Emotional Dimensions of Perceived Risk Characteristics, Genre-Specific Media Effects, and Risk Perceptions: The Case of H1N1 Influenza in South Korea.” Asian Journal of Communication 25(1): 14–32.

Olya, Hossein G.T., and Amr Al-ansi. 2018. “Risk Assessment of Halal Products and Services: Implication for Tourism Industry.” Tourism Management 65: 279–91.

Pacho, Frida. 2020. “What Influences Consumers to Purchase Organic Food in Developing Countries?” British Food Journal 122(12): 3695–3709.

Panwar, Charu. 2018. “Consumer Perceived Risk in Online Shopping Environment via Facebook as Medium.” International Journal of Engineering and Technology(UAE) 7(4): 2485–90.

Pavlou, Paul A. 2003. “Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model.” International Journal of Electronic Commerce 7(3): 101–34.

PWC. 2019. It’s Time for a Consumer-Centred Metric: Introducing “return on Experience” – Global Consumer Insights Survey.

———. 2020. Global Consumer Insights Survey 2020. https://www.pwc.com/gx/en/consumer-markets/consumer-insights-survey/2020/pwc-consumer-insights-survey-2020.pdf.

Rauniar, Rupak, Greg Rawski, Jei Yang, and Ben Johnson. 2014. “Technology Acceptance Model (TAM) and Social Media Usage: An Empirical Study on Facebook.” Journal of Enterprise Information Management 27(1): 6–30.

Rittichainuwat, Bongkosh Ngamsom, and Goutam Chakraborty. 2009. “Perceived Travel Risks Regarding Terrorism and Disease: The Case of Thailand.” Tourism Management 30(3): 410–18.

Stone, M. 1974. “Cross-Validatory Choice and Assessment of Statistical Predictions.” Journal of the Royal Statistical Society - Series B (Methodological) 36(2): 111–47.

Sumampouw, Oksfriani Jufri. 2020. “Pelaksanaan Protokol Kesehatan Corona Virus Disease 2019 Oleh Masyarakat Di Kabupaten Minahasa Tenggara.” Sam Ratulangi Journal of Public Health 1(2): 80–86.

The Jakarta Post. 2020. “Food Deliveries, Online Game Purchases up as People Stay at Home during COVID-19 Pandemic - Business - The Jakarta Post.” https://www.thejakartapost.com/news/2020/03/20/food-deliveries-online-game-purchases-up-as-people-stay-at-home-during-covid-19-pandemic.html (November 2, 2021).

Turner, J, and T Akinremi. 2020. The Business Effects of Pandemics – A Rapid Literature Review.

Venkatesh, Viswanath, and Hillol Bala. 2008. “Technology Acceptance Model 3 and a Research Agenda on Interventions.” Decision Sciences 39(2): 273–315. https://onlinelibrary.wiley.com/doi/full/10.1111/j.1540-5915.2008.00192.x (November 2, 2021).

Vinzi, V. E. 2010. “Handbook of Partial Least Squares: Concepts, Methods and Applications.” In Heidelberg: Springer.




DOI: https://doi.org/10.37531/sejaman.v4i2.1312

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