How to cite this paper
Oraini, B. (2024). The effect of artificial intelligence capability on patient satisfaction.International Journal of Data and Network Science, 8(3), 1429-1436.
Refrences
Al-Araj, R. E. E. M., Haddad, H. O. S. S. A. M., Shehadeh, M. A. H. A., Hasan, E., &Nawaiseh, M. Y. (2022). The effect of artificial intelligence on service quality and customer satisfaction in Jordanian banking sector. WSEAS Transactions on Business and Economics, 19(12), 1929-1947.
Bawack, R., Wamba, S.F., & Carillo, K. (2019) Where information systems research meets artificial intelligence practice: towards the development of an AI capability framework. Technology 12, 15–2019.
Beam, A. L., & Kohane, I. S. (2018). Big data and machine learning in health care. Jama, 319(13), 1317-1318.
Bohr, A., & Memarzadeh, K. (2020). The rise of artificial intelligence in healthcare applications. In Artificial Intelligence in Healthcare; Elsevier: Amsterdam, The Netherlands, pp. 25–60. doi: 10.1016/B978-0-12-818438-7.00002-2
Campanella, P., Lovato, E., Marone, C., Fallacara, L., Mancuso, A., Ricciardi, W., & Specchia, M. L. (2016). The impact of electronic health records on healthcare quality: a systematic review and meta-analysis. The European Journal of Public Health, 26(1), 60-64.
Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard business review, 96(1), 108-116.
Dewa, C. S., Loong, D., Bonato, S., & Trojanowski, L. (2017). The relationship between physician burnout and quality of healthcare in terms of safety and acceptability: a systematic review. BMJ open, 7(6), e015141.
Durand, M. A., Moulton, B., Cockle, E., Mann, M., & Elwyn, G. (2015). Can shared decision-making reduce medical mal-practice litigation? A systematic review. BMC health services research, 15(1), 1-11.
Gupta, R. K., & Kumari, R. (2017). Artificial intelligence in public health: opportunities and challenges. JK Sci-ence, 19(4), 191-192.
Hazarika, I. (2020). Artificial intelligence: opportunities and implications for the health workforce. International health, 12(4), 241-245.
Jarvis, T., Thornburg, D., Rebecca, A. M., &Teven, C. M. (2020). Artificial intelligence in plastic surgery: current appli-cations, future directions, and ethical implications. Plastic and Reconstructive Surgery Global Open, 8(10). e3200. doi: 10.1097/GOX.0000000000003200
Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., ... & Wang, Y. (2017). Artificial intelligence in healthcare: past, pre-sent and future. Stroke and vascular neurology, 2(4), 230-243.
Ker, J., Wang, L., Rao, J., & Lim, T. (2017). Deep learning applications in medical image analysis. IEEE Access, 6, 9375-9389.
Kruse, C. S., Krowski, N., Rodriguez, B., Tran, L., Vela, J., & Brooks, M. (2017). Telehealth and patient satisfaction: a systematic review and narrative analysis. BMJ open, 7(8), e016242.
Kumar, A., Gadag, S., &Nayak, U. Y. (2021). The Beginning of a New Era: Artificial Intelligence in Healthcare. Advanced Pharmaceutical Bulletin, 11(3), 414.
Kumar, B., Kumar, B., Nagesh, Y., Singh, S., & Rani, J. (2022). The continuous investment in artificial intelligence and its impact on ensuring customer satisfaction. Korea review of international studies, 15(3), 112-127.
Lee, D., & Yoon, S. N. (2021). Application of artificial intelligence-based technologies in the healthcare industry: Oppor-tunities and challenges. International Journal of Environmental Research and Public Health, 18(1), 271.
Li, L., Lin, J., Luo, W., & Luo, X. R. (2023). Investigating the effect of artificial intelligence on customer relationship management performance in e-commerce enterprises. Journal of Electronic Commerce Research, 24(1), 68-83.
Liddy, C., Drosinis, P., & Keely, E. (2016). Electronic consultation systems: worldwide prevalence and their impact on patient care: A systematic review. Family Practice, 33(3), 274-285.
Meesala, A., & Paul, J. (2018). Service quality, consumer satisfaction and loyalty in hospitals: Thinking for the fu-ture. Journal of Retailing and Consumer Services, 40, 261-269.
Mikalef, P., & Gupta, M. (2021). Artificial intelligence capability: Conceptualization, measurement calibration, and em-pirical study on its impact on organizational creativity and firm performance. Information & Management, 58(3), 103434.
Mikalef, P., Fjørtoft, S. O., & Torvatn, H. Y. (2019). Developing an artificial intelligence capability: A theoretical frame-work for business value. In Business Information Systems Workshops: BIS 2019 International Workshops, Seville, Spain, June 26–28, 2019, Revised Papers 22 (pp. 409-416). Springer International Publishing.
Moss, M., Good, V. S., Gozal, D., Kleinpell, R., & Sessler, C. N. (2016). An official critical care societies collaborative statement: burnout syndrome in critical care health care professionals: a call for action. American Journal of Critical Care, 25(4), 368-376.
Obermeyer, Z., & Emanuel, E. J. (2016). Predicting the future—big data, machine learning, and clinical medicine. The New England journal of medicine, 375(13), 1216.
Pallathadka, H., Ramirez-Asis, E. H., Loli-Poma, T. P., Kaliyaperumal, K., Ventayen, R. J. M., & Naved, M. (2023). Ap-plications of artificial intelligence in business management, e-commerce and finance. Materials Today: Proceed-ings, 80, 2610-2613.
Prentice, C., Dominique Lopes, S., & Wang, X. (2020). The impact of artificial intelligence and employee service quality on customer satisfaction and loyalty. Journal of Hospitality Marketing & Management, 29(7), 739-756.
Rosemann, A., & Zhang, X. (2022). Exploring the social, ethical, legal, and responsibility dimensions of artificial intelli-gence for health-a new column in Intelligent Medicine. Intelligent Medicine, 2(02), 103-109.
Salmond, S. W., & Echevarria, M. (2017). Healthcare transformation and changing roles for nursing. Orthopedic nurs-ing, 36(1), 12.
Sogani, J., Allen Jr, B., Dreyer, K., & McGinty, G. (2020). Artificial intelligence in radiology: the ecosystem essential to improving patient care. Clinical Imaging, 59(1), A3-A6.
Tsai, T. C., Orav, E. J., &Jha, A. K. (2015). Patient satisfaction and quality of surgical care in US hospitals. Annals of sur-gery, 261(1), 2.
Venkatasubramanian, V. (2019). The promise of artificial intelligence in chemical engineering: Is it here, finally?. AIChE Journal, 65(2), 466-478.
Wahl, B., Cossy-Gantner, A., Germann, S., & Schwalbe, N. R. (2018). Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings?. BMJ global health, 3(4), e000798.
Wang, Y. (2022). Research on the Influence of Service Quality of Hotel Intelligent System on Customer Satisfaction Based on Artificial Intelligence Evaluation. Mathematical Problems in Engineering, March. https://doi.org/10.1155/2022/3832935
West, C. P., Dyrbye, L. N., &Shanafelt, T. D. (2018). Physician burnout: contributors, consequences and solu-tions. Journal of internal medicine, 283(6), 516-529.
Woo, B. F. Y., Lee, J. X. Y., & Tam, W. W. S. (2017). The impact of the advanced practice nursing role on quality of care, clinical outcomes, patient satisfaction, and cost in the emergency and critical care settings: a systematic re-view. Human resources for health, 15, 1-22.
Xu, X., & Li, Y. (2016). The antecedents of customer satisfaction and dissatisfaction toward various types of hotels: A text mining approach. International journal of hospitality management, 55, 57-69.
Yanase J, and Triantaphyllou E, 2019, A Systematic Survey of Computer-Aided Diagnosis in Medicine: Past and Present Developments. Expert Systems with Applications, 138, 112821. https://doi.org/10.1016/j.eswa.2019.11282.
Yau, K. L. A., Saad, N. M., & Chong, Y. W. (2021). Artificial Intelligence Marketing (AIM) for Enhancing Customer Re-lationships. Applied Sciences, 11(18), 8562.
Yu, K. H., Beam, A. L., &Kohane, I. S. (2018). Artificial intelligence in healthcare. Nature biomedical engineering, 2(10), 719-731.
Zhang, H., Song, M., & He, H. (2020). Achieving the success of sustainability development projects through big data ana-lytics and artificial intelligence capability. Sustainability, 12(3), 949.
Bawack, R., Wamba, S.F., & Carillo, K. (2019) Where information systems research meets artificial intelligence practice: towards the development of an AI capability framework. Technology 12, 15–2019.
Beam, A. L., & Kohane, I. S. (2018). Big data and machine learning in health care. Jama, 319(13), 1317-1318.
Bohr, A., & Memarzadeh, K. (2020). The rise of artificial intelligence in healthcare applications. In Artificial Intelligence in Healthcare; Elsevier: Amsterdam, The Netherlands, pp. 25–60. doi: 10.1016/B978-0-12-818438-7.00002-2
Campanella, P., Lovato, E., Marone, C., Fallacara, L., Mancuso, A., Ricciardi, W., & Specchia, M. L. (2016). The impact of electronic health records on healthcare quality: a systematic review and meta-analysis. The European Journal of Public Health, 26(1), 60-64.
Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard business review, 96(1), 108-116.
Dewa, C. S., Loong, D., Bonato, S., & Trojanowski, L. (2017). The relationship between physician burnout and quality of healthcare in terms of safety and acceptability: a systematic review. BMJ open, 7(6), e015141.
Durand, M. A., Moulton, B., Cockle, E., Mann, M., & Elwyn, G. (2015). Can shared decision-making reduce medical mal-practice litigation? A systematic review. BMC health services research, 15(1), 1-11.
Gupta, R. K., & Kumari, R. (2017). Artificial intelligence in public health: opportunities and challenges. JK Sci-ence, 19(4), 191-192.
Hazarika, I. (2020). Artificial intelligence: opportunities and implications for the health workforce. International health, 12(4), 241-245.
Jarvis, T., Thornburg, D., Rebecca, A. M., &Teven, C. M. (2020). Artificial intelligence in plastic surgery: current appli-cations, future directions, and ethical implications. Plastic and Reconstructive Surgery Global Open, 8(10). e3200. doi: 10.1097/GOX.0000000000003200
Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., ... & Wang, Y. (2017). Artificial intelligence in healthcare: past, pre-sent and future. Stroke and vascular neurology, 2(4), 230-243.
Ker, J., Wang, L., Rao, J., & Lim, T. (2017). Deep learning applications in medical image analysis. IEEE Access, 6, 9375-9389.
Kruse, C. S., Krowski, N., Rodriguez, B., Tran, L., Vela, J., & Brooks, M. (2017). Telehealth and patient satisfaction: a systematic review and narrative analysis. BMJ open, 7(8), e016242.
Kumar, A., Gadag, S., &Nayak, U. Y. (2021). The Beginning of a New Era: Artificial Intelligence in Healthcare. Advanced Pharmaceutical Bulletin, 11(3), 414.
Kumar, B., Kumar, B., Nagesh, Y., Singh, S., & Rani, J. (2022). The continuous investment in artificial intelligence and its impact on ensuring customer satisfaction. Korea review of international studies, 15(3), 112-127.
Lee, D., & Yoon, S. N. (2021). Application of artificial intelligence-based technologies in the healthcare industry: Oppor-tunities and challenges. International Journal of Environmental Research and Public Health, 18(1), 271.
Li, L., Lin, J., Luo, W., & Luo, X. R. (2023). Investigating the effect of artificial intelligence on customer relationship management performance in e-commerce enterprises. Journal of Electronic Commerce Research, 24(1), 68-83.
Liddy, C., Drosinis, P., & Keely, E. (2016). Electronic consultation systems: worldwide prevalence and their impact on patient care: A systematic review. Family Practice, 33(3), 274-285.
Meesala, A., & Paul, J. (2018). Service quality, consumer satisfaction and loyalty in hospitals: Thinking for the fu-ture. Journal of Retailing and Consumer Services, 40, 261-269.
Mikalef, P., & Gupta, M. (2021). Artificial intelligence capability: Conceptualization, measurement calibration, and em-pirical study on its impact on organizational creativity and firm performance. Information & Management, 58(3), 103434.
Mikalef, P., Fjørtoft, S. O., & Torvatn, H. Y. (2019). Developing an artificial intelligence capability: A theoretical frame-work for business value. In Business Information Systems Workshops: BIS 2019 International Workshops, Seville, Spain, June 26–28, 2019, Revised Papers 22 (pp. 409-416). Springer International Publishing.
Moss, M., Good, V. S., Gozal, D., Kleinpell, R., & Sessler, C. N. (2016). An official critical care societies collaborative statement: burnout syndrome in critical care health care professionals: a call for action. American Journal of Critical Care, 25(4), 368-376.
Obermeyer, Z., & Emanuel, E. J. (2016). Predicting the future—big data, machine learning, and clinical medicine. The New England journal of medicine, 375(13), 1216.
Pallathadka, H., Ramirez-Asis, E. H., Loli-Poma, T. P., Kaliyaperumal, K., Ventayen, R. J. M., & Naved, M. (2023). Ap-plications of artificial intelligence in business management, e-commerce and finance. Materials Today: Proceed-ings, 80, 2610-2613.
Prentice, C., Dominique Lopes, S., & Wang, X. (2020). The impact of artificial intelligence and employee service quality on customer satisfaction and loyalty. Journal of Hospitality Marketing & Management, 29(7), 739-756.
Rosemann, A., & Zhang, X. (2022). Exploring the social, ethical, legal, and responsibility dimensions of artificial intelli-gence for health-a new column in Intelligent Medicine. Intelligent Medicine, 2(02), 103-109.
Salmond, S. W., & Echevarria, M. (2017). Healthcare transformation and changing roles for nursing. Orthopedic nurs-ing, 36(1), 12.
Sogani, J., Allen Jr, B., Dreyer, K., & McGinty, G. (2020). Artificial intelligence in radiology: the ecosystem essential to improving patient care. Clinical Imaging, 59(1), A3-A6.
Tsai, T. C., Orav, E. J., &Jha, A. K. (2015). Patient satisfaction and quality of surgical care in US hospitals. Annals of sur-gery, 261(1), 2.
Venkatasubramanian, V. (2019). The promise of artificial intelligence in chemical engineering: Is it here, finally?. AIChE Journal, 65(2), 466-478.
Wahl, B., Cossy-Gantner, A., Germann, S., & Schwalbe, N. R. (2018). Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings?. BMJ global health, 3(4), e000798.
Wang, Y. (2022). Research on the Influence of Service Quality of Hotel Intelligent System on Customer Satisfaction Based on Artificial Intelligence Evaluation. Mathematical Problems in Engineering, March. https://doi.org/10.1155/2022/3832935
West, C. P., Dyrbye, L. N., &Shanafelt, T. D. (2018). Physician burnout: contributors, consequences and solu-tions. Journal of internal medicine, 283(6), 516-529.
Woo, B. F. Y., Lee, J. X. Y., & Tam, W. W. S. (2017). The impact of the advanced practice nursing role on quality of care, clinical outcomes, patient satisfaction, and cost in the emergency and critical care settings: a systematic re-view. Human resources for health, 15, 1-22.
Xu, X., & Li, Y. (2016). The antecedents of customer satisfaction and dissatisfaction toward various types of hotels: A text mining approach. International journal of hospitality management, 55, 57-69.
Yanase J, and Triantaphyllou E, 2019, A Systematic Survey of Computer-Aided Diagnosis in Medicine: Past and Present Developments. Expert Systems with Applications, 138, 112821. https://doi.org/10.1016/j.eswa.2019.11282.
Yau, K. L. A., Saad, N. M., & Chong, Y. W. (2021). Artificial Intelligence Marketing (AIM) for Enhancing Customer Re-lationships. Applied Sciences, 11(18), 8562.
Yu, K. H., Beam, A. L., &Kohane, I. S. (2018). Artificial intelligence in healthcare. Nature biomedical engineering, 2(10), 719-731.
Zhang, H., Song, M., & He, H. (2020). Achieving the success of sustainability development projects through big data ana-lytics and artificial intelligence capability. Sustainability, 12(3), 949.