حجازی، یوسف.؛ بازرگان، عباس. و اسحاقی، فاخته. (1387). راهنمای گام به گام ارزیابی درونی کیفیت در نظام دانشگاهی. تهران: مؤسسه انتشارات و چاپ دانشگاه تهران.
خالقی فرقانی، آرمین و فتح آبادی، حسین. (1404). بررسی نقش گرایش کارآفرینانه بر عملکرد نوآوری در صنایع هوایی. مدیریت دفاع هوایی، 4(1)، 1-18.
سرتیب زاده، سهیلا؛ رستگار، عباس و ویشلقی، مهدیه (1404). تاثیر هوش تجاری بر عملکرد با تاکید بر نقش میانجی دوسوتوانی نوآوری و قابلیتهای پویا، نشریه مدیریت تبلیغات و فروش، 6(1): 297-276.
سلاجقه، آزیتا، و بستانپیرا، مریم. (1404). بررسی رابطه بین مؤلفههای فناوری اطلاعات و عملکرد سازمانی کارکنان اداره آموزش و پرورش شهرستان زرند. مدیریت، آموزش و توسعه در عصر دیجیتال، 2(3)، 1-11.. https://doi.org/10.61838/medda.210
شکاری، حمیده؛ جلالیان، نجمه؛ و هزاردستان، ملیحه. (1405). مدل ساختاری تأثیر تجربه دیجیتال و سواد دیجیتال کارکنان بر عملکرد پایدار منابع انسانی با توجه به نقش واسطهای چابکی نیروی انسانی. نشریه پژوهش و نوآوری در تربیت و توسعه، 6(2)، 1-21.
نوریجانی، احمد، اسلامی، حسین، افشانی، سیدعلی، و دهقان دهنوی، حمیدرضا. (1402). ارائه الگوی مطلوب حکمرانی دیجیتال در عصر جامعه شبکهای. مطالعات رسانههای نوین، 9(34)، 399-429.
نیک منش، شمسالدین ؛ هاشمنیا، شهرام و آقاعلی، فاطمه. (1405). بررسی اثر دستیار هوش مصنوعی بر رفتار نوآورانه کارکنان مبتنی بر هوش مصنوعی با نقش میانجی خودکارآمدی خلاقانه و نقش تعدیلگر آمادگی هوش مصنوعی سازمان، ششمین کنفرانس بینالمللی تحقیقات پیشرفته در مدیریت و علوم انسانی، تهران.
هومن، حیدرعلی. (1398). استنباط آماری در پژوهش رفتاری. تهران: سمت.
Abdurrahman, A. (2025). Examining the impact of digital transformation on digital product innovation performance in banking industry through the integration of resource-based view and dynamic capabilities,
Journal of Strategy & Innovation, 36(1),
https://doi.org/10.1016/j.jsinno.2025.200540.
Al-Khatib, A. W. (2025). How big data-driven organizational capabilities shape innovation performance? An empirical study from small and medium manufacturing enterprises. Kybernetes, 54(1), 456-482.
Al-Moaid, N. (2025).
The Impact of Dynamic Capabilities on Digital Transformation: The Mediating Role of Change Management, Dissertation, DOI:
10.13140/RG.2.2.22483.28962
Alrub, Y. A., & Sánchez-Cañizares, S. M. (2025). Dynamic Capabilities and Digital Transformation: Toward Strategic Planning in the Digital Age—Evidence from Palestine. Administrative Sciences, 15(1), 21. https://doi.org/10.3390/admsci15010021
American Library Association. (2022).
Digital literacy.
https://literacy.ala.org/digital-literacy/
Anthonysamy, L., Choo Koo, A., & Hin Hew, S. (2020). Self-regulated learning strategies in higher education: fostering digital literacy for sustainable lifelong learning.
Education and Information Technologies,
25(4), 2393–2414.
https://doi.org/10.1007/s10639-020-10201-8
Atoy Jr, M., Garcia, F., Cadungog, R., Cua, J., Mangunay, S., & de Guzman, A. B. (2020). Linking digital literacy and online information searching strategies of Philippine university students: The moderating role of mindfulness. Journal of Librarianship & Information Science, 52(4), 1015–1027.
Becker, G. S. (1964). Human capital: A theoretical and empirical analysis, with special reference to education. University of Chicago Press.
Bekele, H., Raj, S., (2024). Digitalization and digital transformation in the tourism industry: a bibliometric review and research agenda. Tour. Rev. ahead-of-print.
Bendak, S., Shikhli, A. M., & Abdel-Razek, R. H. (2020). How changing organizational culture can enhance innovation: Development of the innovative culture enhancement framework. Cogent Business & Management, 7(1), 1712125.
Berger, M., Schäfer, R., Schmidt, M., Regal, C., & Gimpel, H. (2023). How to prevent technostress at the digital workplace: A Delphi study. Journal of Business Economics. https://doi.org/10.1007/s11573-023-01159-3
Byambaa, O., Yondon, C., Rentsen, E., Darkhijav, B., & Rahman, M. (2025). An empirical examination of the adoption of artificial intelligence in banking services: The case of Mongolia. Future Business Journal, 11(1), 76.
Caton, A., Bradshaw-Ward, D., Kinshuk, K., & Savenye, W. (2022). Future directions for digital literacy fluency using cognitive flexibility research: A review of selected digital literacy paradigms and theoretical frameworks. Journal of Learning for Development, 9(3), 381-393.
Chatterjee, S., Rana, N. P., Tamilmani, K., & Sharma, A. (2021). The effect of AI-based CRM on organization performance and competitive advantage: An empirical analysis in the B2B context. Industrial Marketing Management, 97, 205-219.
Chesbrough, H. (2010). Business model innovation: Opportunities and barriers. Long Range Planning, 43(2-3), 354-363.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
Dawid, H., Keoula, M. Y., Kopel, M., & Kort, P. M. (2023). Dynamic investment strategies and leadership in product innovation. European Journal of Operational Research, 306(1), 431-447.
De la Mata, D. C., de Blanes Sebastián, M. G., & Camperos, M. C. (2024). Hybrid artificial intelligence: Application in the banking sector. Revista de ciencias sociales, 30(3), 22-36.
Ghesh, N., Alexander, M., Davis, A., (2024). The artificial intelligence-enabled customer experience in tourism: a systematic literature review. Tour. Rev. 79 (5), 1017–1037.
Gunasinghe, A., & Nanayakkara, S. (2021). Role of technology anxiety within UTAUT in understanding non-user adoption intentions to virtual learning environments: the state university lecturers' perspective. International Journal of Technology Enhanced Learning, 13(3), 284-308.
Gursoy, D., Cai, R., (2025). Artificial intelligence: an overview of research trends and future directions. Int. J. Contemp. Hosp. Manag. 37 (1), 1–17.
Gutierriz, I., Ferreira, J.J., Fernandes, P.O., (2025). Digital transformation and the new combinations in tourism: a systematic literature review. Tour. Hosp. Res. 25 (2), 194–213.
Hao, S., Zhang, H., & Song, M. (2019). Big data, big data analytics capability, and sustainable innovation performance. Sustainability, 11(24), 7145.
Hessari, H., Daneshmandi, F., & Nategh, T. (2023). Investigating the effect of technostress on the perceived organizational commitment by mediating role of individual innovation. arXiv. https://doi.org/10.48550/arXiv.2310.07806
Hobfoll, S. E. (1989). Conservation of resources: A new attempt at conceptualizing stress. American Psychologist, 44(3), 513–524.
Hsu, C.H., Tan, G., Stantic, B., (2024). A fine-tuned tourism-specific generative AI concept. Ann. Tour. Res. 104, 103723.
Ismail, I.J., (2023). Speaking to the hearts of the customers! the mediating effect of customer loyalty on customer orientation, technology orientation and business performance. Technol. Sustain. 2 (1), 44–66.
Jonathan, P., Caroline, A., Kornarius, Y. P., Hendarta, A. I., & Gunawan, A. (2025). Digital literacy, technostress, and Industry 4.0 technology adoption: Fostering innovation performance. Jurnal Manajemen Maranatha, 25(1), 1–20. https://doi.org/10.28932/jmm.v25i1.11435
Kannan, R., (2024). Revolutionizing the tourism industry through artificial intelligence: a comprehensive review of AI integration, impact on customer experience, operational efficiency, and future trends. Int. J. Multidimens. Res. Perspect. 2 (2), 01–14.
Kim, H., Freddolino, P. P., & Greenhow, C. (2023). Older adults' technology anxiety as a barrier to digital inclusion: a scoping review. Educational Gerontology, 49(12), 1021-1038.
Knani, M., Echchakoui, S., Ladhari, R. (2022). Artificial intelligence in tourism and hospitality: bibliometric analysis and research agenda. Int. J. Hosp. Manag. 107, 103317
Kraus, S., Burtscher, J., Vallaster, C., & Angerer, M. (2018). Sustainable entrepreneurship orientation: A reflection on status-quo research and a new conceptual framework. Journal of Cleaner Production, 186, 725-737.
Mehndiratta, N., Arora, G., & Bathla, R. (2023). The use of artificial intelligence in the banking industry. In 2023 international conference on recent advances in electrical, electronics & digital healthcare technologies (REEDCON) (pp. 588-591). IEEE.
Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. MIT Press.
Meuter, M. L., Ostrom, A. L., Bitner, M. J., & Roundtree, R. (2003). The influence of technology anxiety on consumer use and experiences with self-service technologies. Journal of business research, 56(11), 899-906.
Mohammadyari, S., & Singh, H. (2015). Understanding the effect of e-learning on individual performance: The role of digital literacy.
Computers & Education,
82, 11-25.
https://doi.org/10.1016/j.compedu.2014.10.025
Nambisan, S., Wright, M., & Feldman, M. (2019). The digital transformation of innovation and entrepreneurship: Progress, challenges and key themes. Research Policy, 48(8), 103773.
Nunnally, J. C. (1978). Psychometric Theory, New York: McGraw-Hill.
Pengfei, D., Imran, M., & Hye, A. K. M. (2026). Digital literacy and technostress as dual pathways linking work-from-home practices to employee performance: Evidence from the post-digital workplace. Acta Psychologica, 264, 106458. https://doi.org/10.1016/j.actpsy.2026.106458
Polder, M., Leeuwen, G. V., Mohnen, P., & Raymond, W. (2010). Product, process and organizational innovation: drivers, complementarity and productivity effects. CIRANO-scientific publications 2010s-28.
Polireddi, N. S. A. (2024). An effective role of artificial intelligence and machine learning in banking sector. Measurement: Sensors, 33, 101135.
Radovanović, D., Hogan, B., & Lalić, D. (2015). Overcoming digital divides in higher education: Digital literacy beyond Facebook.
New Media & Society,
17(10), 1733-1749.
https://doi.org/10.1177/1461444815588323
Saxena, N., Sarkar, B., (2023). How does the retailing industry decide the best replenishment strategy by utilizing technological support through blockchain? J. Retail. Consum. Serv. 71, 103151.
Solakis, K., Katsoni, V., Mahmoud, A.B., Grigoriou, N., (2024). Factors affecting value co- creation through artificial intelligence in tourism: a general literature review. J. Tour. Futures 10 (1), 116–130.
Svoboda, A. (2023). The impact of artificial intelligence on the banking industry. Journal of Banking and Finance Management, 4(1), 7-13.
Tajeddini, K., Hussain, M., Gamage, T.C., Papastathopoulos, A., (2024). Effects of resource orchestration, strategic information exchange capabilities, and digital orientation on innovation and performance of hotel supply chains. Int. J. Hosp. Manag. 117, 103645.
Tan, W., Nawaz, M., Shu, T., & Ramzan, B. (2026). Collaborative artificial intelligence literacy and employee performance: Task–technology fit and technostress in a moderated mediation model. South African Journal of Business Management, 57(1), a5903.
Tarafdar, M., Tu, Q., Ragu-Nathan, B. S., & Ragu-Nathan, T. S. (2007). The impact of technostress on role stress and productivity. Journal of Management Information Systems, 24(1), 301–328.
Teece, D. J. (2007). Explicating dynamic capabilities: The nature and microfoundations of sustainable enterprise performance. Strategic Management Journal, 28(13), 1319–1350.
Teece, D., J., (2022). Agility, knowledge creation, and dynamic capibilities: implications for the soft car revolution. Kindai Manag. Rev. 10, 75–88.
Thomke, S. H. (2020). Experimentation works: The surprising power of business experiments. Harvard Business Press.
Utari, B., & Singagerda, F. S. (2026). Digital fluency as a missing mechanism in government digital transformation: Linking digital literacy, technostress, and employee performance. International Journal of Economics, Business, and Entrepreneurship, 9(1). https://doi.org/10.23960/ijebe.v9i1.441
Wang, Y., Niu, H., Zhou, H., & Wang, X. (2025). How does AI awareness enhance the innovative performance of employees? Acta Psychologica, 261, 105975. https://doi.org/10.1016/j.actpsy.2025.105975
Yu, T. R., & Song, X. (2025). Big data and artificial intelligence in the banking industry. In handbook of financial econometrics, statistics, technology, and risk management: (In 4 Volumes) (pp. 3841-3857).
Zhang, S., Guo, P., Yuan, Y., & Ji, Y. (2025). Anxiety or engaged? Research on the impact of technostress on employees’ innovative behavior in the era of artificial intelligence. Acta Psychologica, 259, 105442.