This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (3226) Artificial Intelligence (2118)

Published on in Vol 6, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28750, first published .
Identity Threats as a Reason for Resistance to Artificial Intelligence: Survey Study With Medical Students and Professionals

Identity Threats as a Reason for Resistance to Artificial Intelligence: Survey Study With Medical Students and Professionals

Identity Threats as a Reason for Resistance to Artificial Intelligence: Survey Study With Medical Students and Professionals

Authors of this article:

Ekaterina Jussupow1 Author Orcid Image ;   Kai Spohrer2 Author Orcid Image ;   Armin Heinzl1 Author Orcid Image
Article Authors Cited by (67) Tweetations (5) Metrics

Journals

  1. Kedar S, Khazanchi D. Neurology education in the era of artificial intelligence. Current Opinion in Neurology 2023;36(1):51 View
  2. Mousavi Baigi S, Sarbaz M, Ghaddaripouri K, Ghaddaripouri M, Mousavi A, Kimiafar K. Attitudes, knowledge, and skills towards artificial intelligence among healthcare students: A systematic review. Health Science Reports 2023;6(3) View
  3. Alsaad A. The dual effect of anthropomorphism on customers’ decisions to use artificial intelligence devices in hotel services. Journal of Hospitality Marketing & Management 2023;32(8):1048 View
  4. Hofer B, Kittler M, Laukens K. How deep learning influences workflows and roles in virtual surgical planning. Discover Health Systems 2023;2(1) View
  5. Craig K, Grover V, Thatcher J. Integrating the perceptions that cause Resistance to IT: Expanding the nomological network of the IT identity Threat. Journal of Information Technology Case and Application Research 2024;26(1):35 View
  6. Ahmad M, Abdallah S, Abbasi S, Abdallah A. Student perspectives on the integration of artificial intelligence into healthcare services. DIGITAL HEALTH 2023;9 View
  7. Shinners L, Aggar C, Stephens A, Grace S. Healthcare professionals' experiences and perceptions of artificial intelligence in regional and rural health districts in Australia. Australian Journal of Rural Health 2023;31(6):1203 View
  8. Hesso I, Kayyali R, Dolton D, Joo K, Zacharias L, Charalambous A, Lavdaniti M, Stalika E, Ajami T, Acampa W, Boban J, Nabhani-Gebara S. Cancer care at the time of the fourth industrial revolution: an insight to healthcare professionals’ perspectives on cancer care and artificial intelligence. Radiation Oncology 2023;18(1) View
  9. Kumar R, Sood P, Nirala R, Ade R, Sonaji A. Uses of AI in Field of Radiology- What is State of Doctor & Pateints Communication in Different Disease for Diagnosis Purpose. Journal for Research in Applied Sciences and Biotechnology 2023;2(5):51 View
  10. Kumari P, Shankar A, Behl A, Pereira V, Yahiaoui D, Laker B, Gupta B, Arya V. Investigating the barriers towards adoption and implementation of open innovation in healthcare. Technological Forecasting and Social Change 2024;200:123100 View
  11. Ackerhans S, Huynh T, Kaiser C, Schultz C. Exploring the role of professional identity in the implementation of clinical decision support systems—a narrative review. Implementation Science 2024;19(1) View
  12. Fazakarley C, Breen M, Thompson B, Leeson P, Williamson V. Beliefs, experiences and concerns of using artificial intelligence in healthcare: A qualitative synthesis. DIGITAL HEALTH 2024;10 View
  13. Weber S, Wyszynski M, Godefroid M, Plattfaut R, Niehaves B. How do medical professionals make sense (or not) of AI? A social-media-based computational grounded theory study and an online survey. Computational and Structural Biotechnology Journal 2024;24:146 View
  14. Myslicka M, Kawala-Sterniuk A, Bryniarska A, Sudol A, Podpora M, Gasz R, Martinek R, Kahankova Vilimkova R, Vilimek D, Pelc M, Mikolajewski D. Review of the application of the most current sophisticated image processing methods for the skin cancer diagnostics purposes. Archives of Dermatological Research 2024;316(4) View
  15. Alessandro G, Dimitri O, Cristina B, Anna M. The emotional impact of generative AI: negative emotions and perception of threat. Behaviour & Information Technology 2025;44(4):676 View
  16. Mou Y, Gong Y, Ding Z. Complement or substitute? A study of the impact of artificial intelligence on consumers’ resistance. Marketing Intelligence & Planning 2024;42(4):647 View
  17. Hattori E, Yamakawa M, Miwa K. Human bias in evaluating AI product creativity. Journal of Creativity 2024;34(2):100087 View
  18. Zou X, Na Y, Lai K, Liu G. Unpacking public resistance to health Chatbots: a parallel mediation analysis. Frontiers in Psychology 2024;15 View
  19. Amiri H, Peiravi S, rezazadeh shojaee S, Rouhparvarzamin M, Nateghi M, Etemadi M, ShojaeiBaghini M, Musaie F, Anvari M, Asadi Anar M. Medical, dental, and nursing students’ attitudes and knowledge towards artificial intelligence: a systematic review and meta-analysis. BMC Medical Education 2024;24(1) View
  20. Fenwick A, Molnar G, Frangos P. The critical role of HRM in AI-driven digital transformation: a paradigm shift to enable firms to move from AI implementation to human-centric adoption. Discover Artificial Intelligence 2024;4(1) View
  21. Daniyal M, Qureshi M, Marzo R, Aljuaid M, Shahid D. Exploring clinical specialists’ perspectives on the future role of AI: evaluating replacement perceptions, benefits, and drawbacks. BMC Health Services Research 2024;24(1) View
  22. Wu M, Huang X, Jiang B, Li Z, Zhang Y, Gao B. AI in medical education: the moderating role of the chilling effect and STARA awareness. BMC Medical Education 2024;24(1) View
  23. Diller S, Stenzel L, Passmore J. The coach bots are coming: exploring global coaches’ attitudes and responses to the threat of AI coaching. Human Resource Development International 2024;27(4):597 View
  24. Pawelczyk J, Kraus M, Eckl L, Nehrer S, Aurich M, Izadpanah K, Siebenlist S, Rupp M. Attitude of aspiring orthopaedic surgeons towards artificial intelligence: a multinational cross-sectional survey study. Archives of Orthopaedic and Trauma Surgery 2024;144(8):3541 View
  25. Shen G, Mullen D, DePuccio M, Kerrissey M. The Human–Technology Continuum. Quality Management in Health Care 2025;34(2):125 View
  26. Lash M. HEX: Human-in-the-loop explainability via deep reinforcement learning. Decision Support Systems 2024;187:114304 View
  27. SimanTov-Nachlieli I. More to Lose: The Adverse Effect of High Performance Ranking on Employees’ Preimplementation Attitudes Toward the Integration of Powerful AI Aids. Organization Science 2025;36(1):1 View
  28. Alli S, Hossain S, Das S, Upshur R. The Potential of Artificial Intelligence Tools for Reducing Uncertainty in Medicine and Directions for Medical Education. JMIR Medical Education 2024;10:e51446 View
  29. Spatscheck N, Schaschek M, Winkelmann A. The effects of generative AI’s human-like competencies on clinical decision-making. Journal of Decision Systems 2024:1 View
  30. Dietz J, Spohrer K, Hoehle H. Identity Work in Interdependent Professional Groups: The Role of a Target Identity in Enterprise Systems Implementation. Information Systems Research 2025;36(3):1522 View
  31. Sobaih A, Chaibi A, Brini R, Abdelghani Ibrahim T. Unlocking Patient Resistance to AI in Healthcare: A Psychological Exploration. European Journal of Investigation in Health, Psychology and Education 2025;15(1):6 View
  32. Irgang L, Sestino A, Barth H, Holmén M. Healthcare workers' adoption of and satisfaction with artificial intelligence: The counterintuitive role of paradoxical tensions and paradoxical mindset. Technological Forecasting and Social Change 2025;212:123967 View
  33. Shonhe L, Min Q. Mitigating AI-induced professional identity threat and fostering adoption in the workplace. AI & SOCIETY 2025;40(5):4079 View
  34. Artemiou E, Hooper S, Dascanio L, Schmidt M, Gilbert G. Introducing AI-generated cases (AI-cases) & standardized clients (AI-SCs) in communication training for veterinary students: perceptions and adoption challenges. Frontiers in Veterinary Science 2025;11 View
  35. Arvai N, Katonai G, Mesko B. Health Care Professionals’ Concerns About Medical AI and Psychological Barriers and Strategies for Successful Implementation: Scoping Review. Journal of Medical Internet Research 2025;27:e66986 View
  36. Weissenfels S, Nissen A, Smolnik S. Advancing digital health in information systems research: Insights from a text mining analysis. Electronic Markets 2025;35(1) View
  37. Grosser J, Düvel J, Hasemann L, Schneider E, Greiner W. Studying the Potential Effects of Artificial Intelligence on Physician Autonomy: Scoping Review. JMIR AI 2025;4:e59295 View
  38. van Veelen R, Kruger J, Derks B, Manzi F, Vink M, Yerkes M. The Psychological Threat of Being Declared Nonessential During the COVID‐19 Pandemic: Effects on Professional Identification. Journal of Applied Social Psychology 2025;55(4):258 View
  39. Ackerhans S, Wehkamp K, Petzina R, Dumitrescu D, Schultz C. Perceived Trust and Professional Identity Threat in AI-Based Clinical Decision Support Systems: Scenario-Based Experimental Study on AI Process Design Features. JMIR Formative Research 2025;9:e64266 View
  40. Korchagin E, Lobanova A. Professional Identity of Students of the Psychological and Pedagogical Direction of Education. Journal of Modern Foreign Psychology 2025;14(1):45 View
  41. Cecil J, Kleine A, Lermer E, Gaube S. Mental health practitioners’ perceptions and adoption intentions of AI-enabled technologies: an international mixed-methods study. BMC Health Services Research 2025;25(1) View
  42. Abdulazeem H, Meckawy R, Schwarz S, Novillo-Ortiz D, Klug S. Knowledge, attitude, and practice of primary care physicians toward clinical AI-assisted digital health technologies: Systematic review and meta-analysis. International Journal of Medical Informatics 2025;201:105945 View
  43. Shonhe L, Min Q. Human–machine collaboration: exploring professional identity threat within the records and information management community. Aslib Journal of Information Management 2025 View
  44. Alsahafi Z, Baashar A. Knowledge, Attitudes, and Practices Related to Artificial Intelligence Among Medical Students and Academics in Saudi Arabia: A Systematic Review. Cureus 2025 View
  45. Ta’an W, Damrah S, Al-Hammouri M, Williams B, Ibrahim, M. Professional identity and its relationships with AI readiness and interprofessional collaboration. PLOS One 2025;20(5):e0322794 View
  46. Joo B. Methodological Challenges in Deep Learning-Based Detection of Intracranial Aneurysms: A Scoping Review. Neurointervention 2025;20(2):52 View
  47. Ratkevičiūtė K, Aliukonis V. Exploring Opportunities and Challenges of AI in Primary Healthcare: A Qualitative Study with Family Doctors in Lithuania. Healthcare 2025;13(12):1429 View
  48. Malecki W, Messingschlager T, Appel M. The impact of exposure to generative AI art on aesthetic appreciation, perceptions of AI mind, and evaluations of AI and of art careers. New Media & Society 2025;27(9):5410 View
  49. Kamalanathan D, C S, E V, A H, N S. AI-DRIVEN VIRTUAL ASSISTANTS IN DENTISTRY:ENHANCING PATIENT CARE WORKFLOW EFFICIENCY. BULLETIN OF STOMATOLOGY AND MAXILLOFACIAL SURGERY 2025:50 View
  50. Lin C, Brailovskaia J, Üztemur S, Gökalp A, Değirmenci N, Huang P, Chen I, Griffiths M, Pakpour A. Dark Future: Development and Initial Validation of Artificial Intelligence Conspiracy Beliefs Scale (AICBS). Brain and Behavior 2025;15(7) View
  51. Mou Y, Wang J, Ding Z, Huang J, Wang Z. When automation backfires: exploring the impact of consumer resistance to AI application in hybrid service agents. Journal of Hospitality Marketing & Management 2025;34(7):1043 View
  52. Belloni G, Curșeu P. Anthropomorphic AI: Sociopathic AI Features as Predictors of Career Opportunities and Threats Perceived by Pilots in Commercial Aviation. The International Journal of Aerospace Psychology 2025:1 View
  53. Hao N, Bi X, Liu M, Wang H, Liu X. Anthropomorphic robots, job insecurity and customer preference in service industry: testing Uncanny Valley curve in restaurants. Asia Pacific Journal of Marketing and Logistics 2025:1 View
  54. Sidorkin A. Extended executive cognition, a learning outcome for the AI age. Computers and Education Open 2025;9:100294 View
  55. Wang J, Wu Y. Psychological constructs of AI speaking app adoption among Chinese tertiary learners: a mixed-methods investigation through the Technology Acceptance Model. Journal of China Computer-Assisted Language Learning 2025 View
  56. Zou X, Chen S. Automation or augmentation? The impact of artificial intelligence's technological characteristics on usage intention in medical staff. Artificial Intelligence in Medicine 2026;171:103283 View
  57. Chan S, Young H, Parekh R. Medical students' and faculty members' perceptions and experiences of AI integration in health care practice and in medical curricula: A meta‐ethnographic review. Medical Education 2025 View
  58. Hindhede A, Andersen V. The role of AI and personalized medicine in healthcare: balancing technological advancements and the art of medicine. BMC Medical Education 2025;25(1) View
  59. Isma'il A, Ibrahim H. Teachers’ professional identity in the era of artificial intelligence: A phenomenological study. International Journal of Professional Development, Learners and Learning 2025;7(2):e2517 View
  60. Barberis M. Shortage of Pathologists: a candid narrative. Pathologica 2025;117(4):452 View
  61. Terlinden L, Verachtert A, Bollens J. AI in Healthcare: Identity Threat or Opportunity? Insights From Medical Specialists. Qualitative Health Research 2025 View

Books/Policy Documents

  1. Shonhe L. Artificial Intelligence in Records and Information Management. View
  2. Tsaga I. Digital Analytics im Dienstleistungsmanagement. View
  3. Bridgen E, Williams S. AI as Help and Hindrance in Education. View
  4. Haseeb M, Rahman M, Kamal M, Ghai S, Sidana N. AI-Driven Environmental Pollution Management. View
  5. Lutz C, Newlands G, Jarrahi M. Handbook of Human-Centered Artificial Intelligence. View

Conference Proceedings

  1. Pasquale L, Ragone A, Piemontese E, Darban A. 2025 IEEE 33rd International Requirements Engineering Conference (RE). Exploring the Use of LLMs for Requirements Specification in an IT Consulting Company View