Main Article Content
Abstract
Abstract. Purpose: analyzing how fear of Covid-19 influences technology utilization attitude towards intention to use. Design/methodology/approach: This study used a quantitative approach conducted post Covid-19. Involving a sample of 138 mobile application users for health insurance services in Bali, Indonesia, by utilizing the PLS-SEM model analysis tool. Findings: Technology Acceptance Model (TAM), through its two elements, Perceived usefulness (PU) and Perceived ease of use (PEOU), has proven to significantly form a supportive attitude about the use of information technology in the Covid-19 pandemic, as well as the influence of attitudes towards behavior intention to use (BIU) in the use of technology has also been proven clearly in the context of TAM. But TAM's ability to form intention directly can only be confirmed through PU, while PEOU has not been able to be proven. Fear of Covid-19 has not been shown to play a role in moderating the influence of attitude on intention. Practical/implications: Encouraging attitude is very important to use technology based on usability and ease of using technology. However, it is not feasible to consider fear of Covid-19 as a factor to encourage people's attitudes towards technology to promote intention to use application technology for transactions. Originality/value: This study provides new insights, first to collaborate on fear of Covid on TAM and TRA. Examining the impact of Covid-19 fear moderation on the acceptance of mobile applications in the health insurance service industry and providing important information that people's behavior does not consider the dangers of Covid-19 when adopting information technology services in the future.
Keywords: Technology acceptance model, perceived usefulness, perceive ease of use, attitude toward using, fear of Covid-19
Keywords
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Copyright @2017. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (http://creativecommons.org/licenses/by-nc-sa/4.0/) which permits unrestricted non-commercial used, distribution and reproduction in any medium
References
- Ahmet M., Lütfi S., & Harun S. (2022). Moderator role of subjective well-being in the impact of COVID-19 fear on hotel employees’ intention to leave, Journal of Human Resources in Hospitality & Tourism, 21(1), 57-81, doi: 10.1080/15332845.2022.2015232
- Aiolfi, S. (2023). How shopping habits change with artificial intelligence: smart speakers' usage intention, International Journal of Retail & Distribution Management, 51 (9/10), 1288-1312. doi: 10.1108/IJRDM-11-2022-0441
- Aji, H.M., Izra B., & Maizaitulaidawati Md. H. (2020). COVID-19 and e-wallet usage intention: A multigroup analysis between Indonesia and Malaysia, Cogent Business & Management, 7:1, doi: 10.1080/23311975.2020.1804181
- Ajzen, I., (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. doi: 10.1016/0749-5978(91)90020-T
- Alami, Y. and El Idrissi, I. (2022). Students' adoption of e-learning: evidence from a Moroccan business school in the COVID-19 era, Arab Gulf Journal of Scientific Research, 40(1), 54-78. doi: 10.1108/AGJSR-05-2022-0052
- Al Amin, Md., Shamsul Arefin, Md., Shariful Alam Md., & Tareq Faizur Rasul (2022) Understanding the Predictors of Rural Customers’ Continuance Intention toward Mobile Banking Services Applications during the COVID-19 Pandemic, Journal of Global Marketing, 35(4), 324-347. doi: 10.1080/08911762.2021.2018750
- AlHamad, A.Q.M. (2020). Acceptance of E-learning among university students in UAE: A practical study, International Journal of Electrical and Computer Engineering (IJECE) 10(4), 3660-3671, doi: 10.11591/ijece. v10i4.pp3660-3671
- Al-Hamad, M.Q., Hisham O.M., Ahmad Q.M.A., Muhammad T.A., Barween H. alK., and Nazek Q.Al-H. (2021). Investigating students’ behavioral intention to use mobile learning in higher education in UAE during Coronavirus-19 pandemic, International Journal of Data and Network Science 5, 321–330, doi: 10.5267/j.ijdns.2021.6.001
- Al-Swidi, A., Mohammed Rafiul Huque, S., Haroon Hafeez, M. and Noor Mohd Shariff, M. (2014). The role of subjective norms in theory of planned behavior in the context of organic food consumption, British Food Journal, 116 (10), 1561-1580.
- Anas, M., Khan, M.N., Rahman, O. and Uddin, S.M.F. (2022). Why consumers behaved impulsively during COVID-19 pandemic?, South Asian Journal of Marketing, 3(1), 7-20. doi: 10.1108/SAJM-03-2021-0040
- Anouze, A.L.M., and Alamro, A.S. (2020), Factors affecting intention to use e-banking in Jordan, International Journal of Bank Marketing, 38 (1), 86-112. doi: 10.1108/IJBM-10-2018-0271
- Arachchi, H.A.D.M., Weerasiri, R.A.S. and Mendis, T. (2022). Impact of perceived corporate citizenship on purchase intention: across the fear of COVID-19 during the COVID-19 pandemic, South Asian Journal of Marketing, 3 (1), 38-59. doi: 10.1108/SAJM-10-2021-0117.
- Ariffin, S.K., Abd Rahman, M.F.R., Muhammad, A.M., and Zhang, Q. (2021), Understanding the consumer’s intention to use the e-wallet services, Spanish Journal of Marketing - ESIC, 25 (3), 446-461. doi: 10.1108/SJME-07-2021-0138
- Arpaci, I. (2017). Antecedents and consequences of cloud computing adoption in education to achieve knowledge management. Computers in Human Behavior, 70(5), 382–390. doi: 10.1016/j.chb.2017.01.024.
- Asma A., & Daniel B. (2023). Predicting attitude, use, and future intentions with translation websites through the TAM framework: a multicultural study among Saudi and South Korean language learners, Computer Assisted Language Learning, doi: 10.1080/09588221.2023.2275141
- Astari, A.A.E., Kerti Y, Ni Ny., Sukaatmadja, I.P.G., and Giantari, I.G.A.K. (2022). Integration of technology acceptance model (TAM) and theory of planned behavior (TPB): An e-wallet behavior with fear of covid-19 as a moderator variable, International Journal of Data and Network Science 6. 1427–1436, doi: 10.5267/j.ijdns.2022.5.008
- Awal, M.R., Arzin, T.A., Islam, M.M. and Hasan, M.T. (2023). Understanding railway passengers’ E-ticketing usage intention in an emerging economic context: application of an extended technology acceptance model, Arab Gulf Journal of Scientific Research, Vol. ahead-of-print No. ahead-of-print. doi: 10.1108/AGJSR-12-2022-0294
- Bashir, I. and Madhavaiah, C. (2015), Consumer attitude and behavioural intention towards Internet banking adoption in India, Journal of Indian Business Research, 7 (1), 67-102. doi: 10.1108/JIBR-02-2014-0013
- Buabeng-Andoh, C. (2018). Predicting students’ intention to adopt mobile learning: A combination of theory of reasoned action and technology acceptance model, Journal of Research in Innovative Teaching & Learning, 11 (2), 178-191. doi: 10.1108/JRIT-03-2017-0004
- Camilleri, M.A., and Falzon, L. (2021). Understanding motivations to use online streaming services: integrating the technology acceptance model (TAM) and the uses and gratifications theory (UGT), Spanish Journal of Marketing - ESIC, 25 (2), 217-238. doi: 10.1108/SJME-04-2020-0074
- Camoiras-Rodriguez, Z., and Varela, C. (2020). The influence of consumer personality traits on mobile shopping intention. Spanish Journal of Marketing - ESIC, 24 (3), 331-353. doi: 10.1108/SJME-02-2020-0029
- Chen, J.-F., Chang, J.-F., Kao, C.-W., and Huang, Y.-M. (2016). Integrating ISSM into TAM to enhance digital library services: A case study of the Taiwan Digital Meta-Library, The Electronic Library, 34 (1), 58-73. doi: 10.1108/EL-01-2014-0016
- Chin, W. W. (1998). Commentary: Issues and opinion on structural equation modeling. MIS quarterly, vii-xvi.
- Chunyan, X., Shulei J., & Chaozhu, H. (2020). An Empirical Study on the Factors Affecting Elderly Users’ Continuance Intention of Shared Nurses, Risk Management and Healthcare Policy, 13, 1849-1860, doi: 10.2147/RMHP.S261827
- Cunying, F. (2023). English learning motivation with TAM: Undergraduates’ behavioral intention to use Chinese indigenous social media platforms for English learning, Cogent Social Sciences, 9:2, doi: 10.1080/23311886.2023.2260566
- Davis, F. D. (1989), "Perceived Usefulness, Perceived Ease of Use and User Acceptance of Information Technology," MIS Quarterly, 13, 3, 319-340
- Dwivedi, R.K., Pandey, M., Vashisht, A., Pandey, D.K. and Kumar, D. (2022). Assessing behavioral intention toward green hotels during COVID-19 pandemic: the moderating role of environmental concern, Journal of Tourism Futures, Vol. ahead-of-print No. ahead-of-print. doi: 10.1108/JTF-05-2021-0116
- Dörfling, D.F. and Godspower-Akpomiemie, E. (2023). Investigating factors that affect the willingness to adopt peer-to-peer short-term insurance in South Africa, Digital Transformation and Society, Vol. ahead-of-print No. ahead-of-print. doi: 10.1108/DTS-04-2023-0022
- Eger, L., Kom´arkov´a, L., Egerov´a, D., and Miˇcík, M. (2021). The effect of COVID-19 on consumer shopping behaviour: Generational cohort perspective, Journal of Retailing and Consumer Services, 61, 102542. doi: 10.1016/j.jretconser.2021.102542.
- El Moussaoui, A.E., and Benbba, B. (2023). Determinants of consumer's online shopping intention during COVID-19, Journal of Electronic Business & Digital Economics, 2 (1), 69-88. doi: 10.1108/JEBDE-01-2023-0002
- Elhajjar, S., and Ouaida, F. (2020). An analysis of factors affecting mobile banking adoption, International Journal of Bank Marketing, 38 (2), 352-367. doi: 10.1108/IJBM-02-2019-0055
- Elizabeth, K., and Rejoice, J.T.M., (2022). Applying behavioral reasoning theory to South African female consumers’ emerging apparel-shopping behavior during COVID-19, Journal of Global Fashion Marketing, 13:3, 221-237, doi: 10.1080/20932685.2022.2033632
- Emran, Al Mostafa, Ibrahim Arpaci, Said A. Salloum. (2019). An empirical examination of continuous intention to use m-learning: An integrated model, academia, doi:10.1007/s10639-019-10094-2
- Esawe, A.T. (2022), "Understanding mobile e-wallet consumers’ intentions and user behavior", Spanish Journal of Marketing - ESIC, 26 (3), 363-384. doi: 10.1108/SJME-05-2022-0105
- Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley.
- Fishbein, M.E. (1967). Readings in Attitude Theory and Measurement, Wiley, New York.
- Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50.
- Foroudi, P., Palazzo, M. and Sultana, A. (2021), Linking brand attitude to word-of-mouth and revisit intentions in the restaurant sector, British Food Journal, 123 (13), 221-240. doi: 10.1108/BFJ-11-2020-1008
- Francioni, B., Curina, I., Hegner, S.M. and Cioppi, M. (2022). Predictors of continuance intention of online food delivery services: gender as moderator, International Journal of Retail & Distribution Management, 50 (12), 1437-1457. doi: 10.1108/IJRDM-11-2021-0537
- Gajić, T., Petrović, M.D., Blešić, I., Radovanović, M.M. and Syromiatnikova, J.A. (2023). The power of fears in the travel decision – covid-19 against lack of money, Journal of Tourism Futures, 9 (1), 62-83. doi: 10.1108/JTF-03-2021-0064
- Gastaldello, G., Streletskaya, N. and Rossetto, L. (2023). Glass half-full? A comprehensive PLS-SEM approach to explore the pandemic’s effect on wine tourism intentions, International Journal of Wine Business Research, 35 (2), 322-345. doi: 10.1108/IJWBR-03-2022-0011
- Gebert-Persson, S., Gidhagen, M., Sallis, J.E. and Lundberg, H. (2019), Online insurance claims: when more than trust matters, International Journal of Bank Marketing, 37 (2), 579-594. doi: 10.1108/IJBM-02-2018-0024
- Gowanit, C., Thawesaengskulthai, N., Sophatsathit, P. and Chaiyawat, T. (2016), Mobile claim management adoption in emerging insurance markets: An exploratory study in Thailand, International Journal of Bank Marketing, 34 (1), 110-130. doi: 10.1108/IJBM-04-2015-0063
- Gunawan, W., Sofia, A., and Andreas,W. (2019). Factors Affecting Acceptance of Mobile Health Insurance in Indonesia: TAM Applicability, International Journal of Advanced Trends in Computer Science and Engineering, 8 (6), 3004-3011.
- Hair, J.F., Ringle, C.M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, Vol. 19 (2), 139-151.
- Hair, Jr., JF, Black, WC, Babin, BJ, Anderson, RE, Tatham, RL. (2006) Multivariate data analysis (6 th Ed.) Upper Saddle River, NJ: Pearson-Prentice Hall
- Hanafiah, M.H., Md Zain, N.A., Azinuddin, M. and Mior Shariffuddin, N.S. (2021), "I'm afraid to travel! Investigating the effect of perceived health risk on Malaysian travellers' post-pandemic perception and future travel intention", Journal of Tourism Futures, Vol. ahead-of-print No. ahead-of-print. doi: 10.1108/JTF-10-2021-0235
- Handayati, P., and Novi, T. (2023).The Intention to Use Mobile Payment during the Covid-19 Pandemic: The Mediating Role of Attitude, Jurnal Pendidikan Ekonomi Dan Bisnis (JPEB) 11.01. .42-50. doi: 10.21009/JPEB.011.1.4
- Hanaysha, J. R., Chen, C. L., Rahim, N. F. A., Salamzadeh, Y., & Hasouneh, L. O. (2023). Determinants of Online Purchase Intention Toward Life Insurance in Malaysia: Moderating Role of Trust. Jindal Journal of Business Research, 12(2), 233-250. doi: 10.1177/22786821231189377
- Harryanto, M.M., and Ansari, S.A. (2018). Application of TAM model to the use of information technology, International Journal of Engineering & Technology, 7 (2.9), pp. 37-40
- Hasan, A.A.-T. (2022). "Determinants of intentions to use foodpanda mobile applications in Bangladesh: the role of attitude and fear of COVID-19", South Asian Journal of Marketing, Vol. ahead-of-print No. ahead-of-print. doi: 10.1108/SAJM-10-2021-0123.
- Hasan, A.A.-T. (2023). Determinants of intentions to use the foodpanda mobile application in Bangladesh: the role of attitude and fear of COVID-19, South Asian Journal of Marketing, 4 (1), 17-32. doi: 10.1108/SAJM-10-2021-0123
- Hattami, Al.H.M. (2021). Determinants of intention to continue usage of online shopping under a pandemic: COVID-19, Cogent Business & Management, 8:1, doi: 10.1080/23311975.2021.1936368
- Hazem R.G., & Lamiaa M.H. (2022). Using mobile health apps during the Covid-19 pandemic in a developing country for business sustainability, Cogent Business & Management, 9:1, doi: 10.1080/23311975.2022.2152648
- Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. In New challenges to international marketing 20, 277-319. Emerald Group Publishing Limited.
- Himel, M.T.A., Ashraf, S., Bappy, T.A., Abir, M.T., Morshed, M.K. and Hossain, M.N. (2021). Users' attitude and intention to use mobile financial services in Bangladesh: an empirical study, South Asian Journal of Marketing, 2 (1), 72-96. doi: 10.1108/SAJM-02-2021-0015
- Janet, M., and Sylvain, C. (2022) Consumer perceptions about food retail and services during the first wave of COVID-19 in Canada: An exploratory study, Cogent Social Sciences, 8:1, doi: 10.1080/23311886.2022.2072556
- Jian, Y., Yu, I.Y., Yang, M.X. and Zeng, K.J. 2020. The impacts of fear and uncertainty of COVID-19 on environmental concerns, brand trust, and behavioral intentions toward green hotels, Sustainability, 12 (20), 8688.
- Jorge de, A-S., & Jaume G-A. (2023) Assessing Attitude and Behavioral Intention toward Chatbots in an Insurance Setting: A Mixed Method Approach, International Journal of Human–Computer Interaction, doi: 10.1080/10447318.2023.2227833
- Kampa, R.K. (2023). Combining technology readiness and acceptance model for investigating the acceptance of m-learning in higher education in India, Asian Association of Open Universities Journal, Vol. ahead-of-print No. ahead-of-print. doi: 10.1108/AAOUJ-10-2022-0149
- Kashive, N., Powale, L. and Kashive, K. (2021). Understanding user perception toward artificial intelligence (AI) enabled e-learning, International Journal of Information and Learning Technology, 38 (1), 1-19. doi: 10.1108/IJILT-05-2020-0090
- Kejela, A.B. and Porath, D. (2022). Influence of attitude on mobile banking acceptance and factors determining attitude of end-users in Ethiopia, Journal of Internet and Digital Economics, 2 (1), 68-88. doi: 10.1108/JIDE-08-2021-0007
- Kim, J.-H., Kim, M., Park, M. and Yoo, J. (2021). How interactivity and vividness influence consumer virtual reality shopping experience: the mediating role of telepresence, Journal of Research in Interactive Marketing, 15 (3), 502-525. doi: 10.1108/JRIM-07-2020-0148
- Laksamana, P., Suharyanto, S. and Cahaya, Y.F. (2022). Determining factors of continuance intention in mobile payment: fintech industry perspective, Asia Pacific Journal of Marketing and Logistics, Vol. ahead-of-print No. ahead-of-print. doi: 10.1108/APJML-11-2021-0851
- Lee, C.-Y. (2023). An investigation of purchase behavior on spillover-effect health insurance: using an extended TAM, International Journal of Pharmaceutical and Healthcare Marketing, 17 (1), 38-54. doi: 10.1108/IJPHM-10-2020-0094
- Lee, C.-Y., Tsao, C.-H. and Chang, W.-C. (2015), "The relationship between attitude toward using and customer satisfaction with mobile application services: An empirical study from the life insurance industry", Journal of Enterprise Information Management, 28 (5), 680-697. doi: 10.1108/JEIM-07-2014-0077
- Legramante, D., Azevedo, A. and Azevedo, J.M. (2023). Integration of the technology acceptance model and the information systems success model in the analysis of Moodle's satisfaction and continuity of use, International Journal of Information and Learning Technology, Vol. ahead-of-print No. ahead-of-print. doi: 10.1108/IJILT-12-2022-0231
- Leon, S. (2018).Service mobile apps: a millennial generation perspective, Industrial Management & Data Systems, 118 (9), 1837-1860. doi: 10.1108/IMDS-10-2017-0479
- Limeng, C., Jian, X., & Shanliang, Li. (2023) Investigating the Intention to Adopt Telecommuting during COVID-19 Outbreak: An Integration of TAM and TPB with Risk Perception, International Journal of Human–Computer Interaction, 39:18, 3516-3526, doi: 10.1080/10447318.2022.2098906
- Mailizar, A.A., and Suci, M. (2020). Examining Teachers Behavioral Intention to Use E-learning in Teaching of Mathematics An Extended TAM Model, Contemporary Educational Technology ep298, doi:10.30935/cedtech/9709
- Mailizar., and Rahmah J. (2020). Examining Students’ Intention to Use Augmented Reality in a Project-Based Geometry Learning Environment, International Journal of Instruction, 14(2), 773-790. doi: 10.29333/iji.2021.14243a
- Massimiliano, V., Chiara, C., Rosangela, F. & Roberto, P. (2023). How does it fear? Exploring the role of emotion and cognition in the entrepreneurship education-entrepreneurial intention link, Studies in Higher Education, doi: 10.1080/03075079.2023.2255216
- Mei-Fang, C., (2016). Impact of fear appeals on pro-environmental behavior and crucial determinants, International Journal of Advertising, 35:1, 74-92, doi: 10.1080/02650487.2015.1101908
- Meri, P., Kaisa, S., Frank, M., Mia, S., & Nelli, H. (2023) Basic psychological needs, quality of motivation, and protective behavior intentions: a nationally representative survey study, Health Psychology and Behavioral Medicine, 11:1, doi:10.1080/21642850.2023.2257295
- Mew, J. and Elena, M. 2021. Mobile wallets: key drivers and deterrents of consumers’ intention to adopt, The International Review of Retail, Distribution and Consumer Research, 31:2, 182-210, doi: 10.1080/09593969.2021.1879208
- Mohsen G., and Seyedeh, OM,S.P. (2020). Adoption of Mobile insurance technology using TAM: A Case Study, International Journal of Industrial Engineering & Management Science, 8, (2), 45-54
- Mohamed, R., M.I., Muhammed Rijah, U.L. and Rameez, A. (2022), Students' attitudes on the use of Zoom in higher educational institutes of Sri Lanka, Asian Association of Open Universities Journal, 17 (1), 37-52. doi: 10.1108/AAOUJ-11-2021-0130
- Mohammadi, H. (2015). Investigating users’ perspectives on e-learning: An integration of TAM and IS success model, Computers in Human Behavior 45 359-374, doi: 10.1016/j.chb.2014.07.044
- Mohammadi, H. (2015). A study of mobile banking usage in Iran, International Journal of Bank Marketing, 33 (6), 733-759. doi: 10.1108/IJBM-08-2014-0114
- Mohammadi, H. (2015). A study of mobile banking usage in Iran, International Journal of Bank Marketing, 33 (6), 733-759. doi: 10.1108/IJBM-08-2014-0114
- Myoung-Gi, C., & Hyojung, P. (2021). Predicting Public Support for Government Actions in a Public Health Crisis: Testing Fear, Organization-Public Relationship, and Behavioral Intention in the Framework of the Situational Theory of Problem Solving, Health Communication, 36(4), 476-486, doi:: 10.1080/10410236.2019.1700439
- Naicker, V. and Van Der Merwe, D.B. (2018), Managers’ perception of mobile technology adoption in the Life Insurance industry, Information Technology & People, 31 (2), 507-526. doi: 10.1108/ITP-09-2016-0212
- Negm, E. (2023). Internet of Things (IoT) acceptance model – assessing consumers' behavior toward the adoption intention of IoT, Arab Gulf Journal of Scientific Research, Vol. ahead-of-print No. ahead-of-print. doi: 10.1108/AGJSR-09-2022-0183
- Ngoc, A.M., Nishiuchi, H. and Nhu, N.T. (2023), "Determinants of carriers' intentions to use electric cargo vehicles in last-mile delivery by extending the technology acceptance model: a case study of Vietnam", The International Journal of Logistics Management, 34 (1),. 210-235. doi: 10.1108/IJLM-12-2021-0566
- Nguyen, G-D., & Minh-Tri, H. (2021). The role of user adaptation and trust in understanding continuance intention towards mobile shopping: An extended expectation-confirmation model, Cogent Business & Management, 8:1, doi: 10.1080/23311975.2021.1980248
- Nikou, S., De Reuver, M. and Mahboob, K.M. (2022). Workplace literacy skills—how information and digital literacy affect adoption of digital technology, Journal of Documentation, 78 (7), 371-391. doi: 10.1108/JD-12-2021-0241
- Nikou, S. and Maslov, I. (2021). An analysis of students' perspectives on e-learning participation – the case of COVID-19 pandemic, International Journal of Information and Learning Technology, 38 (3), 299-315. doi: 10.1108/IJILT-12-2020-0220
- Nunnally, J. (1978). Psychometric Theory (Vol. 2). New York: McGraw-Hill.
- Oertzen, A-S. and Odekerken-Schröder, G. (2019). "Achieving continued usage in online banking: a post-adoption study", International Journal of Bank Marketing, 37 (6), 1394-1418. doi: 10.1108/IJBM-09-2018-0239
- Oloveze, A.O., Ogbonna, C., Ahaiwe, E. and Ugwu, P.A. (2022). "From offline shopping to online shopping in Nigeria: evidence from African emerging economy", IIM Ranchi Journal of Management Studies, 1 (1), 55-68. doi: 10.1108/IRJMS-08-2021-0110
- Pallavi D., & Arun K. (2023). The impact of Digital Marketing and Promotional Strategies on attitude and purchase intention towards financial products and service: A Case of emerging economy, Journal of Marketing Communications, 29:4, 403-430, doi: 10.1080/13527266.2022.2032798
- Prince C.A., Fang J., Nora B.K., & Li Li., (2020). COVID-19: fear appeal favoring purchase behavior towards personal protective equipment, The Service Industries Journal, 40:7-8, 471-490, doi:: 10.1080/02642069.2020.1751823
- Rahman, K.T. and Arif, M.Z.U. (2021). Impacts of binge-watching on netflix during the COVID-19 pandemic, South Asian Journal of Marketing, 2 (1), 97-112.
- Rivera, M., Gregory, A. and Cobos, L. (2015). Mobile application for the timeshare industry: The influence of technology experience, usefulness, and attitude on behavioral intentions, Journal of Hospitality and Tourism Technology, 6 (3), 242-257. doi: 10.1108/JHTT-01-2015-0002
- Rizkitysha, T.L. and Hananto, A. (2022). Do knowledge, perceived usefulness of halal label and religiosity affect attitude and intention to buy halal-labeled detergent?, Journal of Islamic Marketing, 13 (3), 649-670. doi: 10.1108/JIMA-03-2020-0070
- Safari, K., Bisimwa, A. and Buzera, A.M. (2022). Attitudes and intentions toward internet banking in an underdeveloped financial sector, PSU Research Review, 6 (1), 39-58. doi: 10.1108/PRR-03-2020-0009
- Saheb, T., Cabanillas, F.J.L. and Higueras, E. (2022). The risks and benefits of Internet of Things (IoT) and their influence on smartwatch use, Spanish Journal of Marketing - ESIC, 26 (3), 309-324. doi: 10.1108/SJME-07-2021-0129
- Sakaya, A.J. (2023). Fear of COVID-19 and green bank service purchase intention: the mediating effect of customer empowerment and customers’ perceived value of digital service transactions. Arab Gulf Journal of Scientific Research, 41 (4), 486-507. doi: 10.1108/AGJSR-08-2022-0137
- Abdul Sathar, M.B., Rajagopalan, M., Naina, S.M. and Parayitam, S. (2023), "A moderated-mediation model of perceived enjoyment, security and trust on customer satisfaction: evidence from banking industry in India. Journal of Asia Business Studies, 17 (3), 656-679. doi: 10.1108/JABS-03-2022-0089.
- Shaker, A.K., Mostafa, R.H.A. and Elseidi, R.I. (2023). Predicting intention to follow online restaurant community advice: a trust-integrated technology acceptance model, European Journal of Management and Business Economics, 32 (2), 185-202. doi: 10.1108/EJMBE-01-2021-0036
- Sinurat, E.M., and Sugiyanto, L.B (2022). Pengaruh Perceived Usefulness, Perceived Ease Of Use Dan Promosi Penjualan Melalui Mediasi Attitude Toward Using Dan Perceived Security Terhadap Behavioral Intention To Use (Studi Empiris: Pengguna Mobile Wallet Di Jakarta), Business Management Journal 18(1): 17 - 35. doi: 10.30813/bmj.v18i1.2820
- Sumi, R.S. and Ahmed, M. (2022). Investigating young consumers’ online buying behavior in COVID-19 pandemic: perspective of Bangladesh, IIM Ranchi Journal of Management Studies, 1 (2), 108-123. doi: 10.1108/IRJMS-09-2021-0127
- Tatiyaporn J.M.d.,Karim, R., Bruce , P., & Pornpisanu, P.(2023). Pandemic travel fear, travel intention, and self-protection intention of Chinese residents: an application of protection motivation theory, Asia Pacific Journal of Tourism Research, 28:9, 1019-1030, doi:10.1080/10941665.2023.2282982
- To, A.T., & Thi, H.M.T. (2021). Understanding behavioral intention to use mobile wallets in vietnam: Extending the tam model with trust and enjoyment, Cogent Business & Management, 8:1, DOI: 10.1080/23311975.2021.1891661
- Trinh, H.N., Tran, H.H. and Vuong, D.H.Q. (2020). Determinants of consumers’ intention to use credit card: a perspective of multifaceted perceived risk, Asian Journal of Economics and Banking, 4 (3), 105-120. doi: 10.1108/AJEB-06-2020-0018
- Upadhyay, A.K., Khandelwal, K., Nandan, T. and Mishra, P. (2018). Sales technology usage: Modeling the role of support service, peer usage, perceived usefulness and attitude, Asia Pacific Journal of Marketing and Logistics, 30 (1), 257-271. doi: 10.1108/APJML-01-2017-0001
- Venkatesh, V., Davis, F. (2000). A theoretical extention of the technology acceptance model: four longitudinal field studies, Management Science 46 (2), 186–204.
- Wang, S., Li, J. and Zhao, D. (2017). Understanding the intention to use medical big data processing technique from the perspective of medical data analyst, Information Discovery and Delivery, 45 (4), 194-201. doi: 10.1108/IDD-03-2017-0017
- William, G., and Miharni T. (2020). Persepsi Kegunaan Dan Promosi Untuk Memprediksi Niat Penggunaan E-Wallet: Sikap Sebagai Variabel Mediator, Jurnal Muara Ilmu Ekonomi dan Bisnis 5.1 (2021): 74-88. doi: 10.24912/jmieb.v5i1.9997
- Winarno, W.A., Imam, M., Trias, W.P. (2021). Perceived Enjoyment, Application Self-efficacy, and Subjective Norms as Determinants of Behavior Intention in Using OVO Applications, Journal of Asian Finance, Economics and Business 8 (2), 1189–1200
- Wu, M.Y., and Shu-Chen, L. (2011). Consumers’ behavioral intention to use internet shopping: an integrated model of TAM and TRA, Journal of Statistics and Management Systems, 14:2, 375-392, doi: 10.1080/09720510.2011.10701561
- Yu, K. and Huang, G. (2020). Exploring consumers’ intent to use smart libraries with technology acceptance model, The Electronic Library, 38(3), 447-461. doi: 10.1108/EL-08-2019-0188
- Yue, Z., Hui, Y., Peng, C. & Adeel, L. (2020). Predicting consumers’ intention to consume poultry during an H7N9 emergency: an extension of the theory of planned behavior model, Human and Ecological Risk Assessment: An International Journal, 26:1, 190-211, doi: 10.1080/10807039.2018.1503931
- Zahed Ghaderi, C., Michael, H. & Luc, B.(2023) Quarantine hotel employees’ protection motivation, pandemic fear, resilience and behavioural intention, Current Issues in Tourism, 26(5), 681-691, doi:10.1080/13683500.2022.2080649
- Zhang, X.Y. and Lee, S.Y. (2023). A research on users' behavioral intention to adopt Internet of Things (IoT) technology in the logistics industry: the case of Cainiao Logistics Network, Journal of International Logistics and Trade, 21 (1), 41-60. doi: 10.1108/JILT-11-2022-0067
References
Ahmet M., Lütfi S., & Harun S. (2022). Moderator role of subjective well-being in the impact of COVID-19 fear on hotel employees’ intention to leave, Journal of Human Resources in Hospitality & Tourism, 21(1), 57-81, doi: 10.1080/15332845.2022.2015232
Aiolfi, S. (2023). How shopping habits change with artificial intelligence: smart speakers' usage intention, International Journal of Retail & Distribution Management, 51 (9/10), 1288-1312. doi: 10.1108/IJRDM-11-2022-0441
Aji, H.M., Izra B., & Maizaitulaidawati Md. H. (2020). COVID-19 and e-wallet usage intention: A multigroup analysis between Indonesia and Malaysia, Cogent Business & Management, 7:1, doi: 10.1080/23311975.2020.1804181
Ajzen, I., (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. doi: 10.1016/0749-5978(91)90020-T
Alami, Y. and El Idrissi, I. (2022). Students' adoption of e-learning: evidence from a Moroccan business school in the COVID-19 era, Arab Gulf Journal of Scientific Research, 40(1), 54-78. doi: 10.1108/AGJSR-05-2022-0052
Al Amin, Md., Shamsul Arefin, Md., Shariful Alam Md., & Tareq Faizur Rasul (2022) Understanding the Predictors of Rural Customers’ Continuance Intention toward Mobile Banking Services Applications during the COVID-19 Pandemic, Journal of Global Marketing, 35(4), 324-347. doi: 10.1080/08911762.2021.2018750
AlHamad, A.Q.M. (2020). Acceptance of E-learning among university students in UAE: A practical study, International Journal of Electrical and Computer Engineering (IJECE) 10(4), 3660-3671, doi: 10.11591/ijece. v10i4.pp3660-3671
Al-Hamad, M.Q., Hisham O.M., Ahmad Q.M.A., Muhammad T.A., Barween H. alK., and Nazek Q.Al-H. (2021). Investigating students’ behavioral intention to use mobile learning in higher education in UAE during Coronavirus-19 pandemic, International Journal of Data and Network Science 5, 321–330, doi: 10.5267/j.ijdns.2021.6.001
Al-Swidi, A., Mohammed Rafiul Huque, S., Haroon Hafeez, M. and Noor Mohd Shariff, M. (2014). The role of subjective norms in theory of planned behavior in the context of organic food consumption, British Food Journal, 116 (10), 1561-1580.
Anas, M., Khan, M.N., Rahman, O. and Uddin, S.M.F. (2022). Why consumers behaved impulsively during COVID-19 pandemic?, South Asian Journal of Marketing, 3(1), 7-20. doi: 10.1108/SAJM-03-2021-0040
Anouze, A.L.M., and Alamro, A.S. (2020), Factors affecting intention to use e-banking in Jordan, International Journal of Bank Marketing, 38 (1), 86-112. doi: 10.1108/IJBM-10-2018-0271
Arachchi, H.A.D.M., Weerasiri, R.A.S. and Mendis, T. (2022). Impact of perceived corporate citizenship on purchase intention: across the fear of COVID-19 during the COVID-19 pandemic, South Asian Journal of Marketing, 3 (1), 38-59. doi: 10.1108/SAJM-10-2021-0117.
Ariffin, S.K., Abd Rahman, M.F.R., Muhammad, A.M., and Zhang, Q. (2021), Understanding the consumer’s intention to use the e-wallet services, Spanish Journal of Marketing - ESIC, 25 (3), 446-461. doi: 10.1108/SJME-07-2021-0138
Arpaci, I. (2017). Antecedents and consequences of cloud computing adoption in education to achieve knowledge management. Computers in Human Behavior, 70(5), 382–390. doi: 10.1016/j.chb.2017.01.024.
Asma A., & Daniel B. (2023). Predicting attitude, use, and future intentions with translation websites through the TAM framework: a multicultural study among Saudi and South Korean language learners, Computer Assisted Language Learning, doi: 10.1080/09588221.2023.2275141
Astari, A.A.E., Kerti Y, Ni Ny., Sukaatmadja, I.P.G., and Giantari, I.G.A.K. (2022). Integration of technology acceptance model (TAM) and theory of planned behavior (TPB): An e-wallet behavior with fear of covid-19 as a moderator variable, International Journal of Data and Network Science 6. 1427–1436, doi: 10.5267/j.ijdns.2022.5.008
Awal, M.R., Arzin, T.A., Islam, M.M. and Hasan, M.T. (2023). Understanding railway passengers’ E-ticketing usage intention in an emerging economic context: application of an extended technology acceptance model, Arab Gulf Journal of Scientific Research, Vol. ahead-of-print No. ahead-of-print. doi: 10.1108/AGJSR-12-2022-0294
Bashir, I. and Madhavaiah, C. (2015), Consumer attitude and behavioural intention towards Internet banking adoption in India, Journal of Indian Business Research, 7 (1), 67-102. doi: 10.1108/JIBR-02-2014-0013
Buabeng-Andoh, C. (2018). Predicting students’ intention to adopt mobile learning: A combination of theory of reasoned action and technology acceptance model, Journal of Research in Innovative Teaching & Learning, 11 (2), 178-191. doi: 10.1108/JRIT-03-2017-0004
Camilleri, M.A., and Falzon, L. (2021). Understanding motivations to use online streaming services: integrating the technology acceptance model (TAM) and the uses and gratifications theory (UGT), Spanish Journal of Marketing - ESIC, 25 (2), 217-238. doi: 10.1108/SJME-04-2020-0074
Camoiras-Rodriguez, Z., and Varela, C. (2020). The influence of consumer personality traits on mobile shopping intention. Spanish Journal of Marketing - ESIC, 24 (3), 331-353. doi: 10.1108/SJME-02-2020-0029
Chen, J.-F., Chang, J.-F., Kao, C.-W., and Huang, Y.-M. (2016). Integrating ISSM into TAM to enhance digital library services: A case study of the Taiwan Digital Meta-Library, The Electronic Library, 34 (1), 58-73. doi: 10.1108/EL-01-2014-0016
Chin, W. W. (1998). Commentary: Issues and opinion on structural equation modeling. MIS quarterly, vii-xvi.
Chunyan, X., Shulei J., & Chaozhu, H. (2020). An Empirical Study on the Factors Affecting Elderly Users’ Continuance Intention of Shared Nurses, Risk Management and Healthcare Policy, 13, 1849-1860, doi: 10.2147/RMHP.S261827
Cunying, F. (2023). English learning motivation with TAM: Undergraduates’ behavioral intention to use Chinese indigenous social media platforms for English learning, Cogent Social Sciences, 9:2, doi: 10.1080/23311886.2023.2260566
Davis, F. D. (1989), "Perceived Usefulness, Perceived Ease of Use and User Acceptance of Information Technology," MIS Quarterly, 13, 3, 319-340
Dwivedi, R.K., Pandey, M., Vashisht, A., Pandey, D.K. and Kumar, D. (2022). Assessing behavioral intention toward green hotels during COVID-19 pandemic: the moderating role of environmental concern, Journal of Tourism Futures, Vol. ahead-of-print No. ahead-of-print. doi: 10.1108/JTF-05-2021-0116
Dörfling, D.F. and Godspower-Akpomiemie, E. (2023). Investigating factors that affect the willingness to adopt peer-to-peer short-term insurance in South Africa, Digital Transformation and Society, Vol. ahead-of-print No. ahead-of-print. doi: 10.1108/DTS-04-2023-0022
Eger, L., Kom´arkov´a, L., Egerov´a, D., and Miˇcík, M. (2021). The effect of COVID-19 on consumer shopping behaviour: Generational cohort perspective, Journal of Retailing and Consumer Services, 61, 102542. doi: 10.1016/j.jretconser.2021.102542.
El Moussaoui, A.E., and Benbba, B. (2023). Determinants of consumer's online shopping intention during COVID-19, Journal of Electronic Business & Digital Economics, 2 (1), 69-88. doi: 10.1108/JEBDE-01-2023-0002
Elhajjar, S., and Ouaida, F. (2020). An analysis of factors affecting mobile banking adoption, International Journal of Bank Marketing, 38 (2), 352-367. doi: 10.1108/IJBM-02-2019-0055
Elizabeth, K., and Rejoice, J.T.M., (2022). Applying behavioral reasoning theory to South African female consumers’ emerging apparel-shopping behavior during COVID-19, Journal of Global Fashion Marketing, 13:3, 221-237, doi: 10.1080/20932685.2022.2033632
Emran, Al Mostafa, Ibrahim Arpaci, Said A. Salloum. (2019). An empirical examination of continuous intention to use m-learning: An integrated model, academia, doi:10.1007/s10639-019-10094-2
Esawe, A.T. (2022), "Understanding mobile e-wallet consumers’ intentions and user behavior", Spanish Journal of Marketing - ESIC, 26 (3), 363-384. doi: 10.1108/SJME-05-2022-0105
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley.
Fishbein, M.E. (1967). Readings in Attitude Theory and Measurement, Wiley, New York.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50.
Foroudi, P., Palazzo, M. and Sultana, A. (2021), Linking brand attitude to word-of-mouth and revisit intentions in the restaurant sector, British Food Journal, 123 (13), 221-240. doi: 10.1108/BFJ-11-2020-1008
Francioni, B., Curina, I., Hegner, S.M. and Cioppi, M. (2022). Predictors of continuance intention of online food delivery services: gender as moderator, International Journal of Retail & Distribution Management, 50 (12), 1437-1457. doi: 10.1108/IJRDM-11-2021-0537
Gajić, T., Petrović, M.D., Blešić, I., Radovanović, M.M. and Syromiatnikova, J.A. (2023). The power of fears in the travel decision – covid-19 against lack of money, Journal of Tourism Futures, 9 (1), 62-83. doi: 10.1108/JTF-03-2021-0064
Gastaldello, G., Streletskaya, N. and Rossetto, L. (2023). Glass half-full? A comprehensive PLS-SEM approach to explore the pandemic’s effect on wine tourism intentions, International Journal of Wine Business Research, 35 (2), 322-345. doi: 10.1108/IJWBR-03-2022-0011
Gebert-Persson, S., Gidhagen, M., Sallis, J.E. and Lundberg, H. (2019), Online insurance claims: when more than trust matters, International Journal of Bank Marketing, 37 (2), 579-594. doi: 10.1108/IJBM-02-2018-0024
Gowanit, C., Thawesaengskulthai, N., Sophatsathit, P. and Chaiyawat, T. (2016), Mobile claim management adoption in emerging insurance markets: An exploratory study in Thailand, International Journal of Bank Marketing, 34 (1), 110-130. doi: 10.1108/IJBM-04-2015-0063
Gunawan, W., Sofia, A., and Andreas,W. (2019). Factors Affecting Acceptance of Mobile Health Insurance in Indonesia: TAM Applicability, International Journal of Advanced Trends in Computer Science and Engineering, 8 (6), 3004-3011.
Hair, J.F., Ringle, C.M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, Vol. 19 (2), 139-151.
Hair, Jr., JF, Black, WC, Babin, BJ, Anderson, RE, Tatham, RL. (2006) Multivariate data analysis (6 th Ed.) Upper Saddle River, NJ: Pearson-Prentice Hall
Hanafiah, M.H., Md Zain, N.A., Azinuddin, M. and Mior Shariffuddin, N.S. (2021), "I'm afraid to travel! Investigating the effect of perceived health risk on Malaysian travellers' post-pandemic perception and future travel intention", Journal of Tourism Futures, Vol. ahead-of-print No. ahead-of-print. doi: 10.1108/JTF-10-2021-0235
Handayati, P., and Novi, T. (2023).The Intention to Use Mobile Payment during the Covid-19 Pandemic: The Mediating Role of Attitude, Jurnal Pendidikan Ekonomi Dan Bisnis (JPEB) 11.01. .42-50. doi: 10.21009/JPEB.011.1.4
Hanaysha, J. R., Chen, C. L., Rahim, N. F. A., Salamzadeh, Y., & Hasouneh, L. O. (2023). Determinants of Online Purchase Intention Toward Life Insurance in Malaysia: Moderating Role of Trust. Jindal Journal of Business Research, 12(2), 233-250. doi: 10.1177/22786821231189377
Harryanto, M.M., and Ansari, S.A. (2018). Application of TAM model to the use of information technology, International Journal of Engineering & Technology, 7 (2.9), pp. 37-40
Hasan, A.A.-T. (2022). "Determinants of intentions to use foodpanda mobile applications in Bangladesh: the role of attitude and fear of COVID-19", South Asian Journal of Marketing, Vol. ahead-of-print No. ahead-of-print. doi: 10.1108/SAJM-10-2021-0123.
Hasan, A.A.-T. (2023). Determinants of intentions to use the foodpanda mobile application in Bangladesh: the role of attitude and fear of COVID-19, South Asian Journal of Marketing, 4 (1), 17-32. doi: 10.1108/SAJM-10-2021-0123
Hattami, Al.H.M. (2021). Determinants of intention to continue usage of online shopping under a pandemic: COVID-19, Cogent Business & Management, 8:1, doi: 10.1080/23311975.2021.1936368
Hazem R.G., & Lamiaa M.H. (2022). Using mobile health apps during the Covid-19 pandemic in a developing country for business sustainability, Cogent Business & Management, 9:1, doi: 10.1080/23311975.2022.2152648
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. In New challenges to international marketing 20, 277-319. Emerald Group Publishing Limited.
Himel, M.T.A., Ashraf, S., Bappy, T.A., Abir, M.T., Morshed, M.K. and Hossain, M.N. (2021). Users' attitude and intention to use mobile financial services in Bangladesh: an empirical study, South Asian Journal of Marketing, 2 (1), 72-96. doi: 10.1108/SAJM-02-2021-0015
Janet, M., and Sylvain, C. (2022) Consumer perceptions about food retail and services during the first wave of COVID-19 in Canada: An exploratory study, Cogent Social Sciences, 8:1, doi: 10.1080/23311886.2022.2072556
Jian, Y., Yu, I.Y., Yang, M.X. and Zeng, K.J. 2020. The impacts of fear and uncertainty of COVID-19 on environmental concerns, brand trust, and behavioral intentions toward green hotels, Sustainability, 12 (20), 8688.
Jorge de, A-S., & Jaume G-A. (2023) Assessing Attitude and Behavioral Intention toward Chatbots in an Insurance Setting: A Mixed Method Approach, International Journal of Human–Computer Interaction, doi: 10.1080/10447318.2023.2227833
Kampa, R.K. (2023). Combining technology readiness and acceptance model for investigating the acceptance of m-learning in higher education in India, Asian Association of Open Universities Journal, Vol. ahead-of-print No. ahead-of-print. doi: 10.1108/AAOUJ-10-2022-0149
Kashive, N., Powale, L. and Kashive, K. (2021). Understanding user perception toward artificial intelligence (AI) enabled e-learning, International Journal of Information and Learning Technology, 38 (1), 1-19. doi: 10.1108/IJILT-05-2020-0090
Kejela, A.B. and Porath, D. (2022). Influence of attitude on mobile banking acceptance and factors determining attitude of end-users in Ethiopia, Journal of Internet and Digital Economics, 2 (1), 68-88. doi: 10.1108/JIDE-08-2021-0007
Kim, J.-H., Kim, M., Park, M. and Yoo, J. (2021). How interactivity and vividness influence consumer virtual reality shopping experience: the mediating role of telepresence, Journal of Research in Interactive Marketing, 15 (3), 502-525. doi: 10.1108/JRIM-07-2020-0148
Laksamana, P., Suharyanto, S. and Cahaya, Y.F. (2022). Determining factors of continuance intention in mobile payment: fintech industry perspective, Asia Pacific Journal of Marketing and Logistics, Vol. ahead-of-print No. ahead-of-print. doi: 10.1108/APJML-11-2021-0851
Lee, C.-Y. (2023). An investigation of purchase behavior on spillover-effect health insurance: using an extended TAM, International Journal of Pharmaceutical and Healthcare Marketing, 17 (1), 38-54. doi: 10.1108/IJPHM-10-2020-0094
Lee, C.-Y., Tsao, C.-H. and Chang, W.-C. (2015), "The relationship between attitude toward using and customer satisfaction with mobile application services: An empirical study from the life insurance industry", Journal of Enterprise Information Management, 28 (5), 680-697. doi: 10.1108/JEIM-07-2014-0077
Legramante, D., Azevedo, A. and Azevedo, J.M. (2023). Integration of the technology acceptance model and the information systems success model in the analysis of Moodle's satisfaction and continuity of use, International Journal of Information and Learning Technology, Vol. ahead-of-print No. ahead-of-print. doi: 10.1108/IJILT-12-2022-0231
Leon, S. (2018).Service mobile apps: a millennial generation perspective, Industrial Management & Data Systems, 118 (9), 1837-1860. doi: 10.1108/IMDS-10-2017-0479
Limeng, C., Jian, X., & Shanliang, Li. (2023) Investigating the Intention to Adopt Telecommuting during COVID-19 Outbreak: An Integration of TAM and TPB with Risk Perception, International Journal of Human–Computer Interaction, 39:18, 3516-3526, doi: 10.1080/10447318.2022.2098906
Mailizar, A.A., and Suci, M. (2020). Examining Teachers Behavioral Intention to Use E-learning in Teaching of Mathematics An Extended TAM Model, Contemporary Educational Technology ep298, doi:10.30935/cedtech/9709
Mailizar., and Rahmah J. (2020). Examining Students’ Intention to Use Augmented Reality in a Project-Based Geometry Learning Environment, International Journal of Instruction, 14(2), 773-790. doi: 10.29333/iji.2021.14243a
Massimiliano, V., Chiara, C., Rosangela, F. & Roberto, P. (2023). How does it fear? Exploring the role of emotion and cognition in the entrepreneurship education-entrepreneurial intention link, Studies in Higher Education, doi: 10.1080/03075079.2023.2255216
Mei-Fang, C., (2016). Impact of fear appeals on pro-environmental behavior and crucial determinants, International Journal of Advertising, 35:1, 74-92, doi: 10.1080/02650487.2015.1101908
Meri, P., Kaisa, S., Frank, M., Mia, S., & Nelli, H. (2023) Basic psychological needs, quality of motivation, and protective behavior intentions: a nationally representative survey study, Health Psychology and Behavioral Medicine, 11:1, doi:10.1080/21642850.2023.2257295
Mew, J. and Elena, M. 2021. Mobile wallets: key drivers and deterrents of consumers’ intention to adopt, The International Review of Retail, Distribution and Consumer Research, 31:2, 182-210, doi: 10.1080/09593969.2021.1879208
Mohsen G., and Seyedeh, OM,S.P. (2020). Adoption of Mobile insurance technology using TAM: A Case Study, International Journal of Industrial Engineering & Management Science, 8, (2), 45-54
Mohamed, R., M.I., Muhammed Rijah, U.L. and Rameez, A. (2022), Students' attitudes on the use of Zoom in higher educational institutes of Sri Lanka, Asian Association of Open Universities Journal, 17 (1), 37-52. doi: 10.1108/AAOUJ-11-2021-0130
Mohammadi, H. (2015). Investigating users’ perspectives on e-learning: An integration of TAM and IS success model, Computers in Human Behavior 45 359-374, doi: 10.1016/j.chb.2014.07.044
Mohammadi, H. (2015). A study of mobile banking usage in Iran, International Journal of Bank Marketing, 33 (6), 733-759. doi: 10.1108/IJBM-08-2014-0114
Mohammadi, H. (2015). A study of mobile banking usage in Iran, International Journal of Bank Marketing, 33 (6), 733-759. doi: 10.1108/IJBM-08-2014-0114
Myoung-Gi, C., & Hyojung, P. (2021). Predicting Public Support for Government Actions in a Public Health Crisis: Testing Fear, Organization-Public Relationship, and Behavioral Intention in the Framework of the Situational Theory of Problem Solving, Health Communication, 36(4), 476-486, doi:: 10.1080/10410236.2019.1700439
Naicker, V. and Van Der Merwe, D.B. (2018), Managers’ perception of mobile technology adoption in the Life Insurance industry, Information Technology & People, 31 (2), 507-526. doi: 10.1108/ITP-09-2016-0212
Negm, E. (2023). Internet of Things (IoT) acceptance model – assessing consumers' behavior toward the adoption intention of IoT, Arab Gulf Journal of Scientific Research, Vol. ahead-of-print No. ahead-of-print. doi: 10.1108/AGJSR-09-2022-0183
Ngoc, A.M., Nishiuchi, H. and Nhu, N.T. (2023), "Determinants of carriers' intentions to use electric cargo vehicles in last-mile delivery by extending the technology acceptance model: a case study of Vietnam", The International Journal of Logistics Management, 34 (1),. 210-235. doi: 10.1108/IJLM-12-2021-0566
Nguyen, G-D., & Minh-Tri, H. (2021). The role of user adaptation and trust in understanding continuance intention towards mobile shopping: An extended expectation-confirmation model, Cogent Business & Management, 8:1, doi: 10.1080/23311975.2021.1980248
Nikou, S., De Reuver, M. and Mahboob, K.M. (2022). Workplace literacy skills—how information and digital literacy affect adoption of digital technology, Journal of Documentation, 78 (7), 371-391. doi: 10.1108/JD-12-2021-0241
Nikou, S. and Maslov, I. (2021). An analysis of students' perspectives on e-learning participation – the case of COVID-19 pandemic, International Journal of Information and Learning Technology, 38 (3), 299-315. doi: 10.1108/IJILT-12-2020-0220
Nunnally, J. (1978). Psychometric Theory (Vol. 2). New York: McGraw-Hill.
Oertzen, A-S. and Odekerken-Schröder, G. (2019). "Achieving continued usage in online banking: a post-adoption study", International Journal of Bank Marketing, 37 (6), 1394-1418. doi: 10.1108/IJBM-09-2018-0239
Oloveze, A.O., Ogbonna, C., Ahaiwe, E. and Ugwu, P.A. (2022). "From offline shopping to online shopping in Nigeria: evidence from African emerging economy", IIM Ranchi Journal of Management Studies, 1 (1), 55-68. doi: 10.1108/IRJMS-08-2021-0110
Pallavi D., & Arun K. (2023). The impact of Digital Marketing and Promotional Strategies on attitude and purchase intention towards financial products and service: A Case of emerging economy, Journal of Marketing Communications, 29:4, 403-430, doi: 10.1080/13527266.2022.2032798
Prince C.A., Fang J., Nora B.K., & Li Li., (2020). COVID-19: fear appeal favoring purchase behavior towards personal protective equipment, The Service Industries Journal, 40:7-8, 471-490, doi:: 10.1080/02642069.2020.1751823
Rahman, K.T. and Arif, M.Z.U. (2021). Impacts of binge-watching on netflix during the COVID-19 pandemic, South Asian Journal of Marketing, 2 (1), 97-112.
Rivera, M., Gregory, A. and Cobos, L. (2015). Mobile application for the timeshare industry: The influence of technology experience, usefulness, and attitude on behavioral intentions, Journal of Hospitality and Tourism Technology, 6 (3), 242-257. doi: 10.1108/JHTT-01-2015-0002
Rizkitysha, T.L. and Hananto, A. (2022). Do knowledge, perceived usefulness of halal label and religiosity affect attitude and intention to buy halal-labeled detergent?, Journal of Islamic Marketing, 13 (3), 649-670. doi: 10.1108/JIMA-03-2020-0070
Safari, K., Bisimwa, A. and Buzera, A.M. (2022). Attitudes and intentions toward internet banking in an underdeveloped financial sector, PSU Research Review, 6 (1), 39-58. doi: 10.1108/PRR-03-2020-0009
Saheb, T., Cabanillas, F.J.L. and Higueras, E. (2022). The risks and benefits of Internet of Things (IoT) and their influence on smartwatch use, Spanish Journal of Marketing - ESIC, 26 (3), 309-324. doi: 10.1108/SJME-07-2021-0129
Sakaya, A.J. (2023). Fear of COVID-19 and green bank service purchase intention: the mediating effect of customer empowerment and customers’ perceived value of digital service transactions. Arab Gulf Journal of Scientific Research, 41 (4), 486-507. doi: 10.1108/AGJSR-08-2022-0137
Abdul Sathar, M.B., Rajagopalan, M., Naina, S.M. and Parayitam, S. (2023), "A moderated-mediation model of perceived enjoyment, security and trust on customer satisfaction: evidence from banking industry in India. Journal of Asia Business Studies, 17 (3), 656-679. doi: 10.1108/JABS-03-2022-0089.
Shaker, A.K., Mostafa, R.H.A. and Elseidi, R.I. (2023). Predicting intention to follow online restaurant community advice: a trust-integrated technology acceptance model, European Journal of Management and Business Economics, 32 (2), 185-202. doi: 10.1108/EJMBE-01-2021-0036
Sinurat, E.M., and Sugiyanto, L.B (2022). Pengaruh Perceived Usefulness, Perceived Ease Of Use Dan Promosi Penjualan Melalui Mediasi Attitude Toward Using Dan Perceived Security Terhadap Behavioral Intention To Use (Studi Empiris: Pengguna Mobile Wallet Di Jakarta), Business Management Journal 18(1): 17 - 35. doi: 10.30813/bmj.v18i1.2820
Sumi, R.S. and Ahmed, M. (2022). Investigating young consumers’ online buying behavior in COVID-19 pandemic: perspective of Bangladesh, IIM Ranchi Journal of Management Studies, 1 (2), 108-123. doi: 10.1108/IRJMS-09-2021-0127
Tatiyaporn J.M.d.,Karim, R., Bruce , P., & Pornpisanu, P.(2023). Pandemic travel fear, travel intention, and self-protection intention of Chinese residents: an application of protection motivation theory, Asia Pacific Journal of Tourism Research, 28:9, 1019-1030, doi:10.1080/10941665.2023.2282982
To, A.T., & Thi, H.M.T. (2021). Understanding behavioral intention to use mobile wallets in vietnam: Extending the tam model with trust and enjoyment, Cogent Business & Management, 8:1, DOI: 10.1080/23311975.2021.1891661
Trinh, H.N., Tran, H.H. and Vuong, D.H.Q. (2020). Determinants of consumers’ intention to use credit card: a perspective of multifaceted perceived risk, Asian Journal of Economics and Banking, 4 (3), 105-120. doi: 10.1108/AJEB-06-2020-0018
Upadhyay, A.K., Khandelwal, K., Nandan, T. and Mishra, P. (2018). Sales technology usage: Modeling the role of support service, peer usage, perceived usefulness and attitude, Asia Pacific Journal of Marketing and Logistics, 30 (1), 257-271. doi: 10.1108/APJML-01-2017-0001
Venkatesh, V., Davis, F. (2000). A theoretical extention of the technology acceptance model: four longitudinal field studies, Management Science 46 (2), 186–204.
Wang, S., Li, J. and Zhao, D. (2017). Understanding the intention to use medical big data processing technique from the perspective of medical data analyst, Information Discovery and Delivery, 45 (4), 194-201. doi: 10.1108/IDD-03-2017-0017
William, G., and Miharni T. (2020). Persepsi Kegunaan Dan Promosi Untuk Memprediksi Niat Penggunaan E-Wallet: Sikap Sebagai Variabel Mediator, Jurnal Muara Ilmu Ekonomi dan Bisnis 5.1 (2021): 74-88. doi: 10.24912/jmieb.v5i1.9997
Winarno, W.A., Imam, M., Trias, W.P. (2021). Perceived Enjoyment, Application Self-efficacy, and Subjective Norms as Determinants of Behavior Intention in Using OVO Applications, Journal of Asian Finance, Economics and Business 8 (2), 1189–1200
Wu, M.Y., and Shu-Chen, L. (2011). Consumers’ behavioral intention to use internet shopping: an integrated model of TAM and TRA, Journal of Statistics and Management Systems, 14:2, 375-392, doi: 10.1080/09720510.2011.10701561
Yu, K. and Huang, G. (2020). Exploring consumers’ intent to use smart libraries with technology acceptance model, The Electronic Library, 38(3), 447-461. doi: 10.1108/EL-08-2019-0188
Yue, Z., Hui, Y., Peng, C. & Adeel, L. (2020). Predicting consumers’ intention to consume poultry during an H7N9 emergency: an extension of the theory of planned behavior model, Human and Ecological Risk Assessment: An International Journal, 26:1, 190-211, doi: 10.1080/10807039.2018.1503931
Zahed Ghaderi, C., Michael, H. & Luc, B.(2023) Quarantine hotel employees’ protection motivation, pandemic fear, resilience and behavioural intention, Current Issues in Tourism, 26(5), 681-691, doi:10.1080/13683500.2022.2080649
Zhang, X.Y. and Lee, S.Y. (2023). A research on users' behavioral intention to adopt Internet of Things (IoT) technology in the logistics industry: the case of Cainiao Logistics Network, Journal of International Logistics and Trade, 21 (1), 41-60. doi: 10.1108/JILT-11-2022-0067