How to cite this paper
Al-Gasawneh, J., Alfityani, A., Al-Okdeh, S., Almasri, B., Mansur, H., Nusairat, N & Siam, Y. (2022). Avoiding uncertainty by measuring the impact of perceived risk on the intention to use financial artificial intelligence services.Uncertain Supply Chain Management, 10(4), 1427-1436.
Refrences
Aanchal, N. (2020). Impact of influencer marketing on purchase intention with specific reference to health and beauty products. International Journal of Creative Research thoughts, 8(3), 3157-3170.
Ahmad, H., Hamad, A. G., Raed, H., & Maram, A. H. (2019). The impact of electronic word of mouth on intention to travel. International Journal of Scientific and Technology Research, 8(12), 1356-1362.
Al-Gasawneh, J. A., Anuar, M. M., Dacko-Pikiewicz, Z., & Saputra, J. (2021). The impact of customer relationship management dimensions on service quality. Polish Journal of Management Studies, 23, 24-44.
Al-Gasawneh, J., Al-Wadi, M., Al-Wadi, B., Alown, B. & Nuseirat, N. (2020). The Interaction Effect of Comprehensiveness Between social media and Online Purchasing Intention in Jordanian Pharmacies. International Association of Online Engineering. Retrieved October 13, 2020 from https://www.learntechlib.org/p/217794/.
Alghasawneh, L. A. S., Akhorshaideh, A. H., Alharafsheh, M., Ghasawneh, A., Al-Gasawneh, J. A., & Al-Hadid, A. Y. (2021). Determinants of Supply Chain Management Practices in Jordanian Pharmaceutical Firms. Solid State Technology, 64(2), 2986-3001.
Alnaser, A. S., Al-Shibly, M. S., Alghizzawi, M., Habes, M., & Al-Gasawneh, J. A. (2020). Impacts of social media and demographical characteristics on university admissions: case of Jordanian private universities. PalArch's Journal of Archaeology of Egypt/Egyptology, 17(7), 6433-6454.
AL-Rawashdeh, G. H., & Mamat, R. B. (2019). Comparison of four email classification algorithms using WEKA. International Journal of Computer Science and Information Security (IJCSIS), 17(2), 42-54.
Amirtha, R., Sivakumar, V. J., & Hwang, Y. (2021). Influence of Perceived Risk Dimensions on e-Shopping Behavioral Intention among Women—A Family Life Cycle Stage Perspective. Journal of Theoretical and Applied Electronic Commerce Research, 16(3), 320-355.
Amriel, E. E. Y. (2018). The Effect on the Information Quality of Mobile Advertising on Brand Attitudes and Purchase Intention in Instagram. Journal of Economics, Business, and Government Challenges, 1(2), 83-92.
Anuar, N. I. M., Mohamad, S. R., Zulkiffli, W. F. W., Hashim, N. A. A. N., Abdullah, A. R., Rasdi, A. L. M., ... & Abdullah, S. S. (2020). Impact Of Social Media Influencer on Instagram User Purchase Intention Towards the Fashion Products: The Perspectives of Students. European Journal of Molecular & Clinical Medicine, 7(8), 2589-2598.
Barakat, S., & AlZagheer, H. (2021). Business Intelligence application in COVID-19 Vaccine Distribution. Annals of the Romanian Society for Cell Biology, 25(6), 17973-17980.
Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173.
Bibi, P., Pangil, F., & Johari, J. (2016). HRM practices and employees’ rentention: The perspective of job embeddedness theory. Asian Journal of Multidisciplinary Studies, 4(5), 41-47.
Buchanan, B. G., & Wright, D. (2021). The impact of machine learning on UK financial services. Oxford Review of Economic Policy, 37(3), 537-563.
Chen, L. S. L. (2010). The impact of perceived risk, intangibility and consumer characteristics on online game playing. Computers in Human Behavior, 26(6), 1607-1613.
Chen, Y., Yan, X., Fan, W., & Gordon, M. (2015). The joint moderating role of trust propensity and gender on consumers’ online shopping behavior. Computers in Human Behavior, 43, 272-283.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences, 2nd ed., Hillsdale, NJ: Erlbaum
Diamantopoulos, A., & Siguaw, J. A. (2006). Formative versus reflective indicators in organizational measure development: A comparison and empirical illustration. British journal of management, 17(4), 263-282.
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., ... & Williams, M. D. (2019). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 101994.
Fassott, G., Henseler, J., & Coelho, P. S. (2016). Testing moderating effects in PLS path models with composite variables. Industrial management & data systems, 116(9), 1887-1900.
Fletcher, J. (2018). Deepfakes, artificial intelligence, and some kind of dystopia: The new faces of online post-fact performance. Theatre Journal, 70(4), 455-471.
Framarz, B., Mohamed, A., Krish, K., & Henry, W. (2016). A Meta-Analytical Approach toward development of a Comprehensive Measurement Scale for Consumers' Perceived Risks from Innovative Offerings. Advances in Management, 9(7), 1.
Franke, G., &Sarstedt, M. (2019). Heuristics versus statistics in discriminant validity testing: a comparison of four procedures. Internet Research, 29(3), 430-447.
Freedman, R. S. (2006). Introduction to financial technology. Elsevier.
Gansser, O. A., & Reich, C. S. (2021). A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application. Technology in Society, 65, 101535.
Hair Jr, J. F., Sarstedt, M., Ringle, C. M., &Gudergan, S. P. (2017). Advanced issues in partial least squares structural equation modeling. saGe publications.
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European business review, 31(1), 2-24.
Hair, J.F., Hult, G.T.M., Ringle, C., &Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications
Halimi, F. F., Gabarre, S., Rahi, S., Al-Gasawneh, J. A., &Ngah, A. H. (2021). Modelling Muslims’ revisit intention of non-halal certified restaurants in Malaysia. Journal of Islamic Marketing.
Hanandeh, A. (2017). The effects of social media (Facebook, Twitter) on improving consumers behavior’s creating, contributing, and consuming. American Academic & Scholarly Research Journal, 9(7).
Hasan, R., Shams, R., & Rahman, M. (2021). Consumer trust and perceived risk for voice-controlled artificial intelligence: The case of Siri. Journal of Business Research, 131, 591-597.
Hong, I. B., & Cha, H. S. (2013). The mediating role of consumer trust in an online merchant in predicting purchase intention. International Journal of Information Management, 33(6), 927-939.
Hu, H., Zhang, D., & Wang, C. (2019). Impact of social media influencers' endorsement on application adoption: A trust transfer perspective. Social Behavior and Personality: an international journal, 47(11), 1-12.
Iqbal, S., Hunjra, A. I., & Rehman, K. U. (2012). Consumer intention to shop online: B2C E-commerce in developing countries. Middle-East Journal of Scientific Research, 12(4), 424-432.
Jordan, G., Leskovar, R., & Marič, M. (2018). Impact of fear of identity theft and perceived risk on online purchase intention. Organizacija, 51(2).
Ki, C. W. C., Cuevas, L. M., Chong, S. M., & Lim, H. (2020). Influencer marketing: Social media influencers as human brands attaching to followers and yielding positive marketing results by fulfilling needs. Journal of Retailing and Consumer Services, 55, 102133.
Kim, J. (2020). The influence of perceived costs and perceived benefits on AI-driven interactive recommendation agent value. Journal of Global Scholars of Marketing Science, 30(3), 319-333.
Lui, A., & Lamb, G. W. (2018). Artificial intelligence and augmented intelligence collaboration: regaining trust and confidence in the financial sector. Information & Communications Technology Law, 27(3), 267-283.
Masnita, Y., Rasyawal, M., &Yusran, H. L. (2021). Halal Transaction: Implication For Digital Retail By Using Financial Technology. JurnalIlmiahEkonomi Islam, 7(1), 16-22.
Masoud, E. Y. (2013). The effect of perceived risk on online shopping in Jordan. European Journal of Business and Management, 5(6), 76-87.
Mhlanga, D. (2020). Industry 4.0 in finance: the impact of artificial intelligence (ai) on digital financial inclusion. International Journal of Financial Studies, 8(3), 45.
Ministry of Digital Economy and Entrepreneurship (2020). https://www.modee.gov.jo/ebv4.0/root_storage/en/eb_list_page/ai_final_-_english_version.pdf
Mitchell, V. W. (1999). Consumer perceived risk: conceptualisations and models. European Journal of marketing.
Nagy, S., & Hajdú, N. (2021). Consumer Acceptance of the Use of Artificial Intelligence in Online Shopping: Evidence from Hungary. Amfiteatru Economic, 23(56).
Nusairat, N., Al-Gasawneh, J., Aloqool, A., Alzubi, K., Akhorshaideh, A., Joudeh, J., & Ibrahim, H. (2021). The relationship between Internet of things and search engine optimization in Jordanian Tele-Communication Companies: The mediating role of user behavior. International Journal of Data and Network Science, 5(3), 163-172
Park, J., Amendah, E., Lee, Y., & Hyun, H. (2019). M‐payment service: Interplay of perceived risk, benefit, and trust in service adoption. Human Factors and Ergonomics in Manufacturing & Service Industries, 29(1), 31-43.
Pau, L. F. (1991). Artificial intelligence and financial services. IEEE transactions on knowledge and data engineering, 3(2), 137-148.
Pelau, C., Pop, M. I., Ene, I., & Lazar, L. (2021). Clusters of Skeptical Consumers Based on Technology and AI Acceptance, Perception of Social Media Information and Celebrity Trend Setter. Journal of Theoretical and Applied Electronic Commerce Research, 16(5), 1231-1247.
Schlosser, A. E., White, T. B., & Lloyd, S. M. (2006). Converting web site visitors into buyers: how web site investment increases consumer trusting beliefs and online purchase intentions. Journal of marketing, 70(2), 133-148.
Susanto, P., Hoque, M. E., Hashim, N. M. H. N., Shah, N. U., & Alam, M. N. A. (2020). Moderating effects of perceived risk on the determinants–outcome nexus of e-money behaviour. International Journal of Emerging Markets, 17(2), 530-549.
Sweeney, D. (2015). What is Fintech and what does it mean for small businesses?
Veissi, I. (2017). Influencer marketing on Instagram.
Xia, H., & Hou, Z. (2016). Consumer use intention of online financial products: the Yuebao example. Financial Innovation, 2(1), 1-12.
Ahmad, H., Hamad, A. G., Raed, H., & Maram, A. H. (2019). The impact of electronic word of mouth on intention to travel. International Journal of Scientific and Technology Research, 8(12), 1356-1362.
Al-Gasawneh, J. A., Anuar, M. M., Dacko-Pikiewicz, Z., & Saputra, J. (2021). The impact of customer relationship management dimensions on service quality. Polish Journal of Management Studies, 23, 24-44.
Al-Gasawneh, J., Al-Wadi, M., Al-Wadi, B., Alown, B. & Nuseirat, N. (2020). The Interaction Effect of Comprehensiveness Between social media and Online Purchasing Intention in Jordanian Pharmacies. International Association of Online Engineering. Retrieved October 13, 2020 from https://www.learntechlib.org/p/217794/.
Alghasawneh, L. A. S., Akhorshaideh, A. H., Alharafsheh, M., Ghasawneh, A., Al-Gasawneh, J. A., & Al-Hadid, A. Y. (2021). Determinants of Supply Chain Management Practices in Jordanian Pharmaceutical Firms. Solid State Technology, 64(2), 2986-3001.
Alnaser, A. S., Al-Shibly, M. S., Alghizzawi, M., Habes, M., & Al-Gasawneh, J. A. (2020). Impacts of social media and demographical characteristics on university admissions: case of Jordanian private universities. PalArch's Journal of Archaeology of Egypt/Egyptology, 17(7), 6433-6454.
AL-Rawashdeh, G. H., & Mamat, R. B. (2019). Comparison of four email classification algorithms using WEKA. International Journal of Computer Science and Information Security (IJCSIS), 17(2), 42-54.
Amirtha, R., Sivakumar, V. J., & Hwang, Y. (2021). Influence of Perceived Risk Dimensions on e-Shopping Behavioral Intention among Women—A Family Life Cycle Stage Perspective. Journal of Theoretical and Applied Electronic Commerce Research, 16(3), 320-355.
Amriel, E. E. Y. (2018). The Effect on the Information Quality of Mobile Advertising on Brand Attitudes and Purchase Intention in Instagram. Journal of Economics, Business, and Government Challenges, 1(2), 83-92.
Anuar, N. I. M., Mohamad, S. R., Zulkiffli, W. F. W., Hashim, N. A. A. N., Abdullah, A. R., Rasdi, A. L. M., ... & Abdullah, S. S. (2020). Impact Of Social Media Influencer on Instagram User Purchase Intention Towards the Fashion Products: The Perspectives of Students. European Journal of Molecular & Clinical Medicine, 7(8), 2589-2598.
Barakat, S., & AlZagheer, H. (2021). Business Intelligence application in COVID-19 Vaccine Distribution. Annals of the Romanian Society for Cell Biology, 25(6), 17973-17980.
Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173.
Bibi, P., Pangil, F., & Johari, J. (2016). HRM practices and employees’ rentention: The perspective of job embeddedness theory. Asian Journal of Multidisciplinary Studies, 4(5), 41-47.
Buchanan, B. G., & Wright, D. (2021). The impact of machine learning on UK financial services. Oxford Review of Economic Policy, 37(3), 537-563.
Chen, L. S. L. (2010). The impact of perceived risk, intangibility and consumer characteristics on online game playing. Computers in Human Behavior, 26(6), 1607-1613.
Chen, Y., Yan, X., Fan, W., & Gordon, M. (2015). The joint moderating role of trust propensity and gender on consumers’ online shopping behavior. Computers in Human Behavior, 43, 272-283.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences, 2nd ed., Hillsdale, NJ: Erlbaum
Diamantopoulos, A., & Siguaw, J. A. (2006). Formative versus reflective indicators in organizational measure development: A comparison and empirical illustration. British journal of management, 17(4), 263-282.
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., ... & Williams, M. D. (2019). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 101994.
Fassott, G., Henseler, J., & Coelho, P. S. (2016). Testing moderating effects in PLS path models with composite variables. Industrial management & data systems, 116(9), 1887-1900.
Fletcher, J. (2018). Deepfakes, artificial intelligence, and some kind of dystopia: The new faces of online post-fact performance. Theatre Journal, 70(4), 455-471.
Framarz, B., Mohamed, A., Krish, K., & Henry, W. (2016). A Meta-Analytical Approach toward development of a Comprehensive Measurement Scale for Consumers' Perceived Risks from Innovative Offerings. Advances in Management, 9(7), 1.
Franke, G., &Sarstedt, M. (2019). Heuristics versus statistics in discriminant validity testing: a comparison of four procedures. Internet Research, 29(3), 430-447.
Freedman, R. S. (2006). Introduction to financial technology. Elsevier.
Gansser, O. A., & Reich, C. S. (2021). A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application. Technology in Society, 65, 101535.
Hair Jr, J. F., Sarstedt, M., Ringle, C. M., &Gudergan, S. P. (2017). Advanced issues in partial least squares structural equation modeling. saGe publications.
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European business review, 31(1), 2-24.
Hair, J.F., Hult, G.T.M., Ringle, C., &Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications
Halimi, F. F., Gabarre, S., Rahi, S., Al-Gasawneh, J. A., &Ngah, A. H. (2021). Modelling Muslims’ revisit intention of non-halal certified restaurants in Malaysia. Journal of Islamic Marketing.
Hanandeh, A. (2017). The effects of social media (Facebook, Twitter) on improving consumers behavior’s creating, contributing, and consuming. American Academic & Scholarly Research Journal, 9(7).
Hasan, R., Shams, R., & Rahman, M. (2021). Consumer trust and perceived risk for voice-controlled artificial intelligence: The case of Siri. Journal of Business Research, 131, 591-597.
Hong, I. B., & Cha, H. S. (2013). The mediating role of consumer trust in an online merchant in predicting purchase intention. International Journal of Information Management, 33(6), 927-939.
Hu, H., Zhang, D., & Wang, C. (2019). Impact of social media influencers' endorsement on application adoption: A trust transfer perspective. Social Behavior and Personality: an international journal, 47(11), 1-12.
Iqbal, S., Hunjra, A. I., & Rehman, K. U. (2012). Consumer intention to shop online: B2C E-commerce in developing countries. Middle-East Journal of Scientific Research, 12(4), 424-432.
Jordan, G., Leskovar, R., & Marič, M. (2018). Impact of fear of identity theft and perceived risk on online purchase intention. Organizacija, 51(2).
Ki, C. W. C., Cuevas, L. M., Chong, S. M., & Lim, H. (2020). Influencer marketing: Social media influencers as human brands attaching to followers and yielding positive marketing results by fulfilling needs. Journal of Retailing and Consumer Services, 55, 102133.
Kim, J. (2020). The influence of perceived costs and perceived benefits on AI-driven interactive recommendation agent value. Journal of Global Scholars of Marketing Science, 30(3), 319-333.
Lui, A., & Lamb, G. W. (2018). Artificial intelligence and augmented intelligence collaboration: regaining trust and confidence in the financial sector. Information & Communications Technology Law, 27(3), 267-283.
Masnita, Y., Rasyawal, M., &Yusran, H. L. (2021). Halal Transaction: Implication For Digital Retail By Using Financial Technology. JurnalIlmiahEkonomi Islam, 7(1), 16-22.
Masoud, E. Y. (2013). The effect of perceived risk on online shopping in Jordan. European Journal of Business and Management, 5(6), 76-87.
Mhlanga, D. (2020). Industry 4.0 in finance: the impact of artificial intelligence (ai) on digital financial inclusion. International Journal of Financial Studies, 8(3), 45.
Ministry of Digital Economy and Entrepreneurship (2020). https://www.modee.gov.jo/ebv4.0/root_storage/en/eb_list_page/ai_final_-_english_version.pdf
Mitchell, V. W. (1999). Consumer perceived risk: conceptualisations and models. European Journal of marketing.
Nagy, S., & Hajdú, N. (2021). Consumer Acceptance of the Use of Artificial Intelligence in Online Shopping: Evidence from Hungary. Amfiteatru Economic, 23(56).
Nusairat, N., Al-Gasawneh, J., Aloqool, A., Alzubi, K., Akhorshaideh, A., Joudeh, J., & Ibrahim, H. (2021). The relationship between Internet of things and search engine optimization in Jordanian Tele-Communication Companies: The mediating role of user behavior. International Journal of Data and Network Science, 5(3), 163-172
Park, J., Amendah, E., Lee, Y., & Hyun, H. (2019). M‐payment service: Interplay of perceived risk, benefit, and trust in service adoption. Human Factors and Ergonomics in Manufacturing & Service Industries, 29(1), 31-43.
Pau, L. F. (1991). Artificial intelligence and financial services. IEEE transactions on knowledge and data engineering, 3(2), 137-148.
Pelau, C., Pop, M. I., Ene, I., & Lazar, L. (2021). Clusters of Skeptical Consumers Based on Technology and AI Acceptance, Perception of Social Media Information and Celebrity Trend Setter. Journal of Theoretical and Applied Electronic Commerce Research, 16(5), 1231-1247.
Schlosser, A. E., White, T. B., & Lloyd, S. M. (2006). Converting web site visitors into buyers: how web site investment increases consumer trusting beliefs and online purchase intentions. Journal of marketing, 70(2), 133-148.
Susanto, P., Hoque, M. E., Hashim, N. M. H. N., Shah, N. U., & Alam, M. N. A. (2020). Moderating effects of perceived risk on the determinants–outcome nexus of e-money behaviour. International Journal of Emerging Markets, 17(2), 530-549.
Sweeney, D. (2015). What is Fintech and what does it mean for small businesses?
Veissi, I. (2017). Influencer marketing on Instagram.
Xia, H., & Hou, Z. (2016). Consumer use intention of online financial products: the Yuebao example. Financial Innovation, 2(1), 1-12.