UIJRT » United International Journal for Research & Technology

Intentions to Using the Halodoc Application: Empirical Study in the COVID-19 Pandemic Era

Didik Setyawan, Triana Wardhatun Jannah, and Sugiyarmasto

Total Views / Downloads: 79 

Cite ➜

Setyawan, D., Jannah, T.W., and Sugiyarmasto, 2021. Intentions to Using the Halodoc Application: Empirical Study in the COVID-19 Pandemic Era. United International Journal for Research & Technology (UIJRT), 2(9), pp.60-68.

Abstract

The COVID-19 pandemic has changed public behavior to get health services. The fear of the public tobe exposed to COVID-19 changes their behavior by switching to use online health services. The study examined the formation of intentions using the Halodoc application during the COVID-19 pandemic era. Attitudes and beliefs as mediators are the basis for evaluating individuals to intend to use the Halodoc application. Individual evaluations for using the Halodoc application are based on application vulnerabilities, perceived risks, and the application characteristics. The data were collected using an online questionnaire for the Halodoc application users as many as 200 respondents. The results of hypothesis testing using the AMOS Structural Equation Modeling analysis method showed that the application characteristics have a significant effect on the beliefs and individual’s positive attitudes in forming an intention to use the Halodoc application. It was not from the vulnerability and risk factors that the results were not significant. The results indicated that the characteristics of the Halodoc application is accepted by the community to use it. During the COVID-19 pandemic era the public ignored the vulnerabilities and the risks of the Halodoc application to get health services.

Keywords: Intention to use, Attitude, Trust, Vulnerability, Risk, Application Characteristics.

References

  1. Sejak 2016, Halodoc dan Good Doctor Bersiap Hadapi ‘New Normal’ Pandemi Corona. 18 Juli 2020. Katadata.co.id
  2. Ajzen, I. (2008). Attitudes and the Prediction of Behavior Published in : W . D . Crano & R . Prislin, Attitudes and Attitude Change (pp . 289-311). New York : Psychology Press. January 2008.
  3. Apau, R. & Koranteng, F.N. (2019). Impact of Cybercrme and Trust on The Use of E-Commerce Technologies: An Application of the Theory of Planned Behavior, International Journal of Cyber Criminology, Vol. 13, No. 2, pp. 228-254
  4. 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, Vol. 58, No.1.
  5. Bruno, V., Tam, A., & Thom, J. (2005). Characteristics of Web Applications that Affect Usability: AReview. Proceedings of OZCHI 2005, Vol. 122, pp. 1–4.
  6. Chen, Q., Feng, Y., Liu, L., & Tian, X. (2019). ‘Understanding Consumers’ Reactance of Online Personalized Advertising: A New Scheme of Rational Choice from APerspective of Negative Effects. International Journal of Information Management, Vol. 44, Ed. April, pp. 53–64.
  7. Cober, R. T., Brown, D. J., Keeping, L. M., & Levy, P. E. (2004). Recruitment on The Net: How do Organizational Web Site Characteristics Influence Applicant Attraction? Journal of Management, Vol. 30, No. 5, pp. 623–646.
  8. Davis, F. D., & Warshaw, P. R. (1992). The Journal of General What Do Intention Scales Measure? Journal of General Psychology, June 2013, pp. 391–407.
  9. Elliott, M. T., & Speck, P. S. (2005). Factors that Affect Attitude Toward a Retail Web Site. Journal of Marketing Theory and Practice, Vol .13, No. 1, pp. 40–51.
  10. Faqih, K. M. S. (2016). An Empirical Analysis of Factors Predicting the Behavioral Intention to Adopt Internet Shopping Technology among Non-Shoppers in a Developing Country Context: Does Gender Matter? Journal of Retailing and Consumer Services, Vol. 30, pp.140–164. .
  11. Gao, Y., Li, H., & Luo, Y. (2015). An Empirical Study of Wearable Technology Acceptance in Healthcare. Industrial Management and Data Systems, Vol. 115, No. 9, pp. 1704–1723.
  12. George, O. J., Olufemi, A. O., Jubril, O. L., & Lucas, O. E. (2015). Risk and Trust in Online Shopping : Experience from Nigeria. International Journal of African and Asian Studies, Vol. 11, pp. 71–78.
  13. Guo, X., Han, X., Zhang, X., Dang, Y., & Chen, C. (2015). Investigating M-Health Acceptance from a Protection Motivation Theory Perspective: Gender and Age Differences. Telemedicine and E-Health, Vol. 21, No. 8, pp. 661–669.
  14. Haimes, Y. Y. (2009). On The Complex Definition of Risk: A Systems-Based Approach. Risk Analysis, Vol. 29, No. 12, pp.1647–1654.
  15. Hansen, J.M., Saridakis, G., Benson, V. (2018). Risk, Trust, and The Interaction of Perceived Ease of Use and Behavioral Control in Predicting Consumers’ Use of Social Media for Transactions, Computers in Human Behavior, Vol. 80. pp. 197-206.
  16. Harris, M. A., Brookshire, R., & Chin, A. G. (2016). Identifying Factors Influencing Consumers’ Intent to Install Mobile Applications. International Journal of Information Management, Vol. 36, No. 3, pp. 441–450.
  17. Hillson, D. (2002). Extending the Risk Process to Manage Opportunities. International Journal of Project Management, Vol. 20, No. 3, pp. 235–240.
  18. Jae, S. W., Christine, G. B., Jae, K. Y., Lee, S., & Schenewark, J. (2007). The Effect of Web Cohesion, Web Commitment, and Attitude toward the Website on Intentions to Use NFL Teams’ Websites. Sport Management Review, Vol. 10, No. 3, pp. 231–252.
  19. Jo, S., & Kim, Y. (2003). The Effect of Web Characteristics on Relationship Building. International Journal of Phytoremediation, Vol. 21, No. 1, pp. 199–223.
  20. Kim, D., & Chang, H. (2007). Key Functional Characteristics in Designing and Operating Health Information Websites for User Satisfaction: An Application of The Extended Technology Acceptance Model. International Journal of Medical Informatics, Vol. 76, No. 11–12, pp. 790–800.
  21. Kim, H. Y., & Chung, J. E. (2011). Consumer Purchase Intention for Organic Personal Care Products. Journal of Consumer Marketing, Vol. 28, No. 1, pp. 40–47.
  22. Lapidot, Y., Kark, R., & Shamir, B. (2007). The Impact of Situational Vulnerability on The Development and Erosion of Followers’ Trust in Their Leader. Leadership Quarterly, Vol.18, No. 1, pp. 16–34.
  23. Lin, C. Y., Fang, K., & Tu, C. C. (2010). Predicting Consumer Repurchase Intentions to Shop Online. Journal of Computers, Vol. 5, No. 10, pp. 1527–1533.
  24. Martín, S. S., & Camarero, C. (2008). Consumer Trust to a Web Site: Moderating Effect of Attitudes Toward Online Shopping. Cyberpsychology and Behavior, Vol. 11, No. 5, pp. 549–554.
  25. Masoud, E. Y. (2013). The Effect of Perceived Risk on Online Shopping in Jordan. Europian Journal of Business and Management, Vol. 5, No. 6, pp. 76–88.
  26. Suki, N.M., & Suki, N.M. (2017). Modeling the Determinants of Consumers’ Attitudes Toward Online Group Buying: Do Risks and Trusts Matters? Journal of Retailing and Consumer Services, Vol. 36, pp 180–188.
  27. Morgan, R. M., & Hunt, S. D. (1994). The Commitment-Trust Theory of. Journal of Marketing, Vol. 58, pp 20–38.
  28. Natarajan, T., Balasubramanian, S. A., & Kasilingam, D. L. (2018). The Moderating Role of Device Type and Age of Users on The Intention to Use Mobile Shopping Applications. Technology in Society, Vol. 53, pp. 79–90.
  29. Pappas, N. (2016). Marketing Strategies, Perceived Risks, and Consumer Trust in Online Buying Behaviour. Journal of Retailing and Consumer Services, Vol. 29, pp. 92–103.
  30. Park, J., & Kim, J. (2007). The Importance of Perceived Consumption Delay in Internet Shopping. Clothing and Textiles Research Journal, Vol. 25, No. 1, pp. 24–41.
  31. Real, K. (2008). Information Seeking and Workplace Safety: A Field Application of The Risk Perception Attitude Framework. Journal of Applied Communication Research, Vol. 36 No. 3, pp. 339–359.
  32. Sawang, S., Newton, C., & Jamieson, K. (2013). Increasing Learners’ Satisfaction/Intention to Adopt More E-Learning. Education and Training, Vol. 55, No.1, pp. 83–105.
  33. Scholz, R. W., Blumer, Y. B., & Brand, F. S. (2012). Risk, Vulnerability, Robustness, and Resilience from ADecision-Theoretic Perspective. Journal of Risk Research, Vol. 15, No. 3, pp. 313–330.
  34. Seckler, M., Heinz, S., Forde, S., Tuch, A. N., & Opwis, K. (2015). Trust and Distrust on The Web: User Experiences and Website Characteristics. Computers in Human Behavior, Vol. 45, pp. 39–50.
  35. Seock, Y. K., & Norton, M. (2007). Attitude Toward Internet Web Sites, Online Information Search, and Channel Choices for Purchasing. Journal of Fashion Marketing and Management, Vol. 11, No. 4, pp. 571–586.
  36. Setyawan, D., Windari, L. D., Noor, F. M., & Kristanto, Y. (2019). Intentions to Online Transactions : An Empirical Study on Go-Med Application. East African Scholars Journal of Economics, Business and Management.Vol. 2, No. 1, pp. 32–40.
  37. Svensson, G. (2004). Vulnerability in Business Relationships: The Gap Between Dependence and Trust. Journal of Business and Industrial Marketing, Vol. 19, No. 7, pp. 469–483.
  38. Viljanen, L. (2005). Towards an Ontology of Trust. Lecture Notes in Computer Science, 3592, pp. 175–184.
  39. Wagner, G., Schramm-Klein, H., & Steinmann, S. (2017). Consumers’ Attitudes and Intentions Toward Internet-Enabled TV Shopping. Journal of Retailing and Consumer Services, Vol: 34, pp. 278–286.
  40. Witteman, H. O., & Zikmund-Fisher, B. J. (2012). The Defining Characteristics of Web 2.0 and Their Potential Influence in The Online Vaccination Debate. Vaccine, Vol: 30, No. 25, pp. 3734–3740.
  41. Wu, I. L. (2013). The Antecedents of Customer Satisfaction and Its Link to Complaint Intentions in Online Shopping: An Integration of Justice, Technology, and Trust. International Journal of Information Management, Vol. 33No.1, pp. 166–176.
  42. Zhao, Y., Ni, Q., & Zhou, R. (2018). What Factors Influence the Mobile Health Service Adoption? A Meta-Analysis and The Moderating Role of Age. International Journal of Information Management, Vol. 43, pp. 342–350.

For Conference & Paper Publication​

UIJRT Publication - International Journal