Attitude Mediates the Perceived Usefulness and Perceived Ease of Use on Continued Intention to Adopt the Halodoc Application in Denpasar

International Journal of Economics and Management Studies

© 2023 by SSRG - IJEMS Journal

Volume 10 Issue 1

Year of Publication : 2023

Authors : Putu Nandya Nandita, I Putu Gde Sukaatmadja

10.14445/23939125/IJEMS-V10I1P106

How to Cite?

Putu Nandya Nandita, I Putu Gde Sukaatmadja, "Attitude Mediates the Perceived Usefulness and Perceived Ease of Use on Continued Intention to Adopt the Halodoc Application in Denpasar," SSRG International Journal of Economics and Management Studies, vol. 10,  no. 1, pp. 42-54, 2023. Crossref, https://doi.org/10.14445/23939125/IJEMS-V10I1P106

Abstract:

The purpose of this study was to analyze and explain the effect of attitudes mediating perceived usefulness and perceived ease of use on continued intention to adopt the HaloDoc application in Denpasar. The population in this study is people in Denpasar who have an account and have used the HaloDoc application at least once in the last six months. The sampling technique used was purposive sampling technique with a sample of 160 respondents. Data collection was carried out by distributing questionnaires. The data analysis technique used is SEM-PLS. The analysis results provide evidence that perceived usefulness has a positive and significant effect on the continued intention to adopt. Perceived ease of use has a positive and significant effect on the continued intention to adopt. Customer attitudes partially mediate the effect of perceived usefulness and perceived ease of use on continued intention to adopt. The analysis results obtained from the two analytical techniques show that positive and significant attitudes can mediate the effect of perceived usefulness and perceived ease of use on the continued intention to adopt the HaloDoc application in Denpasar.

Keywords:

Attitude, Continued intention to adopt, Perceived usefulness, Perceived ease of use.

References:

[1] Icek Ajzen, and Martin Fishbein, Understanding Attitudes and Predicting Social Behavior, New York: Prentice-Hall, 1980.
[2] Yusuf Opeyemi Akinwale, and Adam Konto Kyari, “Factors Influencing Attitudes and Intention to Adopt Financial Technology Services Among the End-Users in Lagos State, Nigeria,” African Journal of Science, Technology, Innovation, and Development, vol. 14, no. 1, pp. 272-279, 2022. Crossref, https://doi.org/10.1080/20421338.2020.1835177
[3] Ameer Alhasan et al., “A Case-Study to Examine Doctors’ Intentions to Use IoT Healthcare Devices in Iraq During COVID-19 Pandemic,” International Journal of Pervasive Computing and Communications, vol. 18, no. 5, pp. 527-547, 2022. Crossref, https://doi.org/10.1108/IJPCC-10-2020-0175
[4] Mohammad Zahedul Alam et al., “Adoption Intention and Usage Behavior of mHealth Services in Bangladesh and China: A Cross-Country Analysis,” International Journal of Pharmaceutical and Healthcare Marketing, vol. 14, no. 1, pp. 37–60, 2020. Crossref, https://doi.org/10.1108/IJPHM-03-2019-0023
[5] Wissal Ben Arfi et al., “Understanding Acceptance of eHealthcare by IoT Natives and IoT Immigrants: An Integrated Model of UTAUT, Perceived Risk, and Financial Cost,” Technological Forecasting and Social Change, vol. 163, p. 120437, 2021. Crossref, https://doi.org/10.1016/j.techfore.2020.120437
[6] BPS, Bali Province in Figures Catalog 2021.
[7] The Digital Literacy of the Population in Bali, Kalimantan and Sulawesi is the Highest. [Online]. Available: https://katadata.co.id/desysetyowati/digital/5fb7b626b6e47/literasi-digital-penduduk-di-bali-kalimantan-sulawesi-paling-tinggi
[8] Dai-Lun Chiang et al., “Applying Time- Constraint Access Control of Personal Health Record in Cloud Computing,” Enterprise Information Systems, vol. 14, no. 2, pp. 266–281, 2020. Crossref, https://doi.org/10.1080/17517575.2018.1522452
[9] Fred D. Davis, and Fred Davis, “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,” MIS Quarterly, vol. 13, no. 3, pp. 319-340, 1989. Crossref, http://dx.doi.org/10.2307/249008
[10] Yogesh K. Dwivedi et al., “Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model,” Information Systems Frontiers, vol. 21, pp. 719–734, 2019. Crossref, https://doi.org/10.1007/s10796-017-9774-y
[11] Martin Fishbein, “An Investigation of the Relationships between Beliefs about an Object and the Attitude toward that Object,” Human Relations, vol. 16, no. 3, pp. 233-239, 2016. Crossref, https://doi.org/10.1177/001872676301600302
[12] Martin Fishbein, and Icek Ajzen, Predicting and Changin Behaviour the Reasoned Action Approach, NewYork: Psychology Press, 2009. Crossref, https://doi.org/10.4324/9780203838020
[13] M.A. Fishbein, and Icek Ajzen, Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Reading, MA: Addison-Wesley, 1975.
[14] Martin Fishbein, and Icek Ajzen, Predicting and Changin Behaviour the Reasoned Action Approach, NewYork: Psychology Press, 2009. Crossref, https://doi.org/10.4324/9780203838020
[15] Imam Ghozali, Structural Equation Modeling, Alternative Method with Partial Least Square (PLS), Diponegora University Publishing Agency, 2014. [16] Joseph F. Hair et al., A Primer on Partial Least Squares Structural Equation Modeling, Thousand Oaks: Sage, 2022. Crossref, http://dx.doi.org/10.1007/978-3-030-80519-7
[17] Joseph F. Hair, Jr et al., A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 2nd Edition, Los Angeles: Sage, 2017.
[18] Vania Katherine Hermawan, and Eristia Lidia Paramita, “Factors Affecting the Sustainability of User Interest in Using the mHealth Application Through the Satisfaction Variable,” Journal of Business and Management, vol. 8, no. 1, pp. 150-166. 2021. Crossref, https://doi.org/10.26905/jbm.v8i1.5652
[19] Ihtimam Hossain et al., “Patients’ Attitudes towards Mobile Health in Singapore: A Cross-Sectional Study,” MHealth, vol. 5, p. 34, 2019. Crossref, https://doi.org/10.21037%2Fmhealth.2019.08.07
[20] Md Abdul Kaium et al., “Understanding Continuance Usage Intention of mHealth in A Developing Country: An Empirical Investigation,” International Journal of Pharmaceutical and Healthcare Marketing, vol. 14, no. 2, pp. 251–272, 2020. Crossref, https://doi.org/10.1108/IJPHM-06-2019-0041
[21] Adem Karahoca, Dilek Karahoca, and Merve Aksöz, “Examining Intention to Adopt to Internet of Things in Healthcare Technology Products,” Kybernetes, vol. 47, no. 4, pp. 742–770, 2018. Crossref, https://doi.org/10.1108/K-02-2017-0045
[22] Zuheir N. Khalaif, Mageswaran Sanmugam, and Abedulkarim Ayyoub, “Impact of Technostress on Continuance Intentions to Use Mobile Technology,” The Asia-Pacific Education Researcher, 2022. Crossref, https://doi.org/10.1007/s40299-021-00638-x
[23] Ki-Hun Kim et al., “Identification of Critical Quality Dimensions for Continuance Intention in mHealth Services: Case Study of Onecare Service,” International Journal of Information Management, vol. 46, pp. 187–197, 2019. Crossref, https://doi.org/10.1016/j.ijinfomgt.2018.12.008
[24] Debby Cynthia Kumala, Joshua Wilson Pranata, and Sienny Thio, “The Influence of Perceived Usefulness, Perceived Ease of Use, Trust, and Security on Interest in Using Gopay in Generation X in Surabaya,” Journal of Hospitality Management, vol. 6, no. 1, 2020. Crossref, https://doi.org/10.9744/jmp.6.1.19-29
[25] Yumei Luo et al., “Examining Protection Motivation and Network Externality Perspective Regarding the Continued Intention to Use M-Health Apps,” International Journal of Environmental Research and Public Health, vol. 18, no.11, pp. 5684-5685, 2021. Crossref, https://www.mdpi.com/1660-4601/18/11/5684#
[26] Emilia Febia Manda, and Ravi Salim, “Analysis of The Influence of Perceived Usefulness, Perceived Ease of Use and Attitude Toward Using Technology on Actual to Use Halodoc Application Using the Technology Acceptance Model (TAM) Method Approach,” International Research Journal of Advanced Engineering and Science, vol. 6, no. 1, pp. 135-140, 2021.
[27] Clarissa Nuralifa Mangkunegara, Fatunah Azzharo, and Putu Wuri Handayani, “Analysis of Factors Affecting User’s Intention in Using Mobile Health Application: A Case Study of HaloDoc,” International Conference on Advanced Computer Science and Information Systems ICACSIS, pp. 87-92, 2018. Crossref, https://doi.org/10.1109/ICACSIS.2018.8618174
[28] Nahdlah Nurul Murhum, Yusuf Durachman, and Elvi Fetrina, “Measurement of User Acceptance in the Halodoc Health Application Using the Unified Theory of Acceptance and Use of Technology Model 2,” Journal of SNATI, vol. 1, no. 2, pp. 24-31, 2022.
[29] Ngatno, Data Analysis of Mediation and Moderation Variables in Business Research, Yogyakarta: Farisma Indonesia, 2015.
[30] Maria Lusia Viany Noel, Didik Setyawan, and Nang Among Budiadi, “Behavioral Intentions to Use the Grab Health Health Application During the Covid-19 Pandemic,” Journal of Business and Entrepreneurship, vol. 13, no. 2, 2020. Crossref, https://doi.org/10.31001/jbk.v13i2.1124
[31] Pushp Patil et al., “Understanding Consumer Adoption of Mobile Payment in India: Extending Meta-UTAUT Model with Personal Innovativeness, Anxiety, Trust, and Grievance Redressal,” International Journal of Information Management, vol. 54, p. 102144, 2020. Crossref, https://doi.org/10.1016/j.ijinfomgt.2020.102144
[32] Nadya Paramita, and Siska Noviarisanti, “Service Quality Analysis of Mhealth Services Using Text Mining Method: Alodokter and HaloDoc,” International Journal of Management, Finance and Accounting, vol. 2, no. 1, pp. 1-21, 2021. Crossref, https://doi.org/10.33093/ijomfa.2021.2.2.1
[33] I Made Dandy Adi Pradana, and Ni Made Asti Aksari, “The Role of Attitude in Mediating the Effect of Perceived Benefits and Perceived Convenience on Repurchase Intentions,” E-Journal of Management, vol. 11, no. 6, pp. 1110-1130, 2022. Crossref, https://doi.org/10.24843/EJMUNUD.2022.v11.i06.p03
[34] Aditia Arga Pratama, and Achmad Benny Mutiara, “Software Quality Analysis for HaloDoc Application Using ISO 25010:2011,” (IJACSA) International Journal of Advanced Computer Science and Applications, vol. 12, no. 8, pp. 383-392, 2021. Crossref, https://dx.doi.org/10.14569/IJACSA.2021.0120844
[35] Prayudi I Gede et al., “The Role of Trust in Mediation the Effect of Perception of Ease of Use and Perception of Usefulness on Intention to Re-Using the Mobile Banking Service,” International Research Journal of Management, IT & Social Sciences, vol. 9, no. 4, pp. 482-493, 2022. Crossref, http://dx.doi.org/10.21744/irjmis.v9n4.2102
[36] Samar Rahi, Mubbsher Munawar Khan, and Mahmoud Alghizzawi, “Factors Influencing the Adoption of Telemedicine Health Services During COVID-19 Pandemic Crisis: An Integrative Research Model,” Enterprise Information Systems, vol. 15, no. 6, pp. 769– 793, 2021. Crossref, https://doi.org/10.1080/17517575.2020.1850872
[37] K. Rahyuda, “Business Research Methods,” Denpasar: Udayana Press University, 2020.
[38] I Gusti Agung Ayu Permata Saraswati, and I Ketut Rahyuda, “Pengaruh Perceived Ease of Use, Perceived Usefulness dan Trust terhadap Repurchase Intention,” Udayana University Economics and Business E-Journal, vol. 10, no. 2, pp. 61-72, 2021. Crossref, https://doi.org/10.24843/EEB.2021.v10.i02.p02
[39] Kirubel Biruk Shiferaw et al., “Healthcare Providers’ Acceptance of Telemedicine and Preference of Modalities during COVID-19 Pandemics in A Low-Resource Setting: An Extended UTAUT Model,” PLoS ONE, vol. 16, no. 4, 2021. Crossref, https://doi.org/10.1371/journal.pone.0250220 Putu Nandya Nandita & I Putu Gde Sukaatmadja / IJEMS, 10(1), 42-54, 2023 54
[40] Statista, Leading Digital Health Apps in Indonesia, 2021. [Online]. Available: https://www.statista.com/statistics/1227263/indonesialeading-digital-health-apps/#:~:text=A%20survey%20on%20digital%20health,users%20to%20licensed%20doctors%20online
[41] Sugiyono, Quantitative Research Methods, Qualitative, and R&D, Bandung: Alphabet, 2014.
[42] Tamara Tantarto, Dadang Kusnadi, and Hadyana Sukandar, “Analysis of Service Quality towards Patient Satisfaction (Comparative Study of Patients Using Telemedicine Application and Face to Face Consultation in Healthcare),” European Journal of Business and Management Research, vol. 5, no. 5, 2020. Crossref, https://doi.org/10.24018/ejbmr.2020.5.5.516
[43] Ursila Imro’atu Wakhida, and Sanaji Sanaji, “The Role of Perceived Usefulness and Perceived Risk as Mediating Variables on the Influence of Perceived Ease of Use and Negative ewom on Purchase Intentions of Health Service Application Users Halodoc,” Journal of Management Science, vol. 8, no. 4, pp. 1158-1174, 2020. Crossref, https://doi.org/10.26740/jim.v8n4.p1158-1174
[44] Chen Wang, and Huiying Qi, “Influencing Factors of Acceptance and Use Behavior of Mobile Health Application Users: Systematic Review,” Healthcare (Switzerland), vol. 9, no. 3, p. 357, 2021. Crossref, https://doi.org/10.3390%2Fhealthcare9030357
[45] Xing Zhang et al., “Mobile Health Service Adoption in China: Integration of Theory of Planned Behavior, Protection Motivation Theory and Personal Health Differences,” Online Information Review, vol. 44, no. 1, pp. 1–23, 2020. Crossref, https://doi.org/10.1108/OIR-11-2016-0339
[46] Tengku Chavia Zagita, Putu Wuri Handayani, and Nur Fitriah Ayuning Budi, “Analysis of Factors Affecting the Loyalty of Using Online Health Services: Case Study of Alodokter,” 2019 International Conference on Advanced Computer Science and Informational System, pp. 279–284, 2019. Crossref, https://doi.org/10.1109/ICACSIS47736.2019.8979973
[47] Ghasem Zarei, Bagher Asgarnezhad Nuri, and Nasim Noroozi, “The Effect of Internet Service Quality on Consumers’ Purchase Behavior: The Role of Satisfaction, Attitude, and Purchase Intention,” Journal of Internet Commerce, vol. 18, no. 2, pp. 197– 220, 2019. Crossref, https://doi.org/10.1080/15332861.2019.1585724
[48] Yang Zhao, Qi Ni, and Ruoxin Zhou, “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, 2018. Crossref, https://doi.org/10.1016/j.ijinfomgt.2017.08.006