ابراهیمنژاد، پدرام، امیرخانلو، محمدصادق، و شکی، فاطمه. 1402. «کاربردهای هوش مصنوعی در آموزش داروسازی: چالشهای حقوقی و اخلاقی». مجله دانشگاه علوم پزشکی مازندران. 33(227): 174-186.
پنجهکوبی، راحله، و فیروزی جهانتیغ، فرزاد. 1400. «شناسایی و ارزیابی عوامل خطر در زنجیره تأمین صنایع دارویی با استفاده از هوش مصنوعی». بیمارستان . 20 (4): 42-50.
پیشوا، سیدپویان، و موسوی، سیده زهرا. 1403. «بررسی استفاده از هوش مصنوعی در داروشناسی و روند کشف دارو». فصلنامه علوم پزشکی دانشگاه آزاد اسلامی. (116): 105-111.
جوان، وحیده. 1403. «تأثیر هوش مصنوعی بر پیشرفت در داروشناسی و صنعت داروسازی دامپزشکی». در دومین کنفرانس ملی فناوریهای نوین دامپزشکی. آمل. https://civilica. om/doc/2123547.
حاجیانی، موشی، اشتهاردیان، احسان اله، عزیزی، مجتبی. 1403. «استخراج الگوهای رفتاری در تامین مالی جمعی پروژه با استفاده از هوش مصنوعی و شناسایی سرمایهگذاران کلیدی». بهبود مدیریت. (66) 59-79.
سلطانزاده، جواد، الیاسی، مهدی، بامداد صوفی، جهانیار و کزازی، ابولفضل. 1396. «شناسایی خردبنیانهای توانمندی نوآوری در شرکتهای تولید داروی کشور؛ مطالعه چندموردی». بهبود مدیریت. (35) 163-206.
شفیعی، مژگان. 1401. «بررسی تأثیر هوش مصنوعی بر کسبوکارهای حوزه سلامت». مجله پژوهشهای کارآفرینی. 1 (1): 31-46.
کنعانی، فاطمه، رسولیان، پریسا، حافری، رضا، و آهنگری، سعیدهالسادات. 1402. «تحلیل بومسازگان هوش مصنوعی ایران و شناسایی خلأهای نهادی و کارکردی آن». سیاست علم و فناوری. (2) 16-77.
وسترمن، جورج، مکافی، اندرو، و بنه، دیدیه. 1398. تحول دیجیتال. تهران: انتشارات نص.
Abbas, Jainambu Gani, Shirley Leo Pereira, and V. Mahalakshmi. 2025. “Artificial Intelligence in Behavioural Finance Using A Sophisticated Decision-Tree Algorithm.” International Journal of Electronic Finance 1 (1). https://doi.org/10.1504/IJEF.2025.10057976.
Abioye, Sofiat O., Lukumon O. Oyedele, Lukman Akanbi, Anuoluwapo Ajayi, Juan Manuel Davila Delgado, Muhammad Bilal, Olugbenga O. Akinade, and Ashraf Ahmed. 2021. “Artificial Intelligence in the Construction Industry: A Review of Present Status, Opportunities and Future Challenges.” Journal of Building Engineering. Elsevier Ltd. https://doi.org/10.1016/j.jobe.2021.103299.
Alhosani, Khalifa, and Saadat M. Alhashmi. 2024. “Opportunities, Challenges, and Benefits of AI Innovation in Government Services: A Review.” Discover Artificial Intelligence. Springer Nature. https://doi.org/10.1007/s44163-024-00111-w.
Alkhazaleh, Razan, Konstantinos Mykoniatis, and Ali Alahmer. 2022. “The Success of Technology Transfer in the Industry 4.0 Era: A Systematic Literature Review.” Journal of Open Innovation: Technology, Market, and Complexity. Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/joitmc8040202.
Al-Saidi, Mohammad, and Esmat Zaidan. 2024. “Understanding and Enabling ‘Communities’ Within Smart Cities: A Literature Review.” Journal of Planning Literature 39 (2): 186–202. https://doi.org/10.1177/08854122231202739.
Angreani, Linda Salma, Annas Vijaya, and Hendro Wicaksono. 2020. “Systematic Literature Review of Industry 4.0 Maturity Model for Manufacturing and Logistics Sectors.” In Procedia Manufacturing, 52:337–43. Elsevier B.V. https://doi.org/10.1016/j.promfg.2020.11.056.
Arden, N. Sarah, Adam C. Fisher, Katherine Tyner, Lawrence X. Yu, Sau L. Lee, and Michael Kopcha. 2021. “Industry 4.0 for Pharmaceutical Manufacturing: Preparing for the Smart Factories of the Future.” International Journal of Pharmaceutics 602 (June). https://doi.org/10.1016/J.IJPHARM.2021.120554/INDUSTRY_4_0_FOR_PHARMACEUTICAL_MANUFACTURING_PREPARING_FOR_THE_SMART_FACTORIES_OF_THE_FUTURE.PDF.
Badi, Fatma Khamis Al, Khawla Ali Alhosani, Fauzia Jabeen, Agata Stachowicz-Stanusch, Nazia Shehzad, and Wolfgang AMANN. 2022. “Challenges of AI Adoption in the UAE Healthcare.” Vision 26 (2): 193–207. https://doi.org/10.1177/0972262920988398.
Brunet, Fabrice, Kathy Malas, and Marie Eve Desrosiers. 2021. “Will Telemedicine Survive after COVID-19?” Healthcare Management Forum 34 (5): 256–59. https://doi.org/10.1177/08404704211031264.
Dadhich, Abhishek, and Priyanka Dadhich. 2023. “Artificial Intelligence from Vaccine Development to Pharmaceutical Supply Chain Management in Post-COVID-19 Period.” In Blockchain, IoT, and AI Technologies for Supply Chain Management, 143–61. Boca Raton: CRC Press. https://doi.org/10.1201/9781003264521-7.
Duraivelu, K. 2022. “Digital Transformation in Manufacturing Industry – A Comprehensive Insight.” In Materials Today: Proceedings, 68:1825–29. Elsevier Ltd. https://doi.org/10.1016/j.matpr.2022.07.409.
Ebrahimezhad, Pedram, Amirkhanlou, Mohammad Sadegh, and Shaki, Fatemeh. 2023. “Applications of Artificial Intelligence in Pharmacy Education: Legal and Ethical Challenges.” Mazandaran University of Medical Sciences Journal. 33 (227): 174-186 [In persian].
Elhusseiny, Hussein Magdy, and José Crispim. 2021. “SMEs, Barriers and Opportunities on Adopting Industry 4.0: A Review.” In Procedia Computer Science, 196:864–71. Elsevier B.V. https://doi.org/10.1016/j.procs.2021.12.086.
Filipe, Pedro, Pedro Ruivo, and Tiago Oliveira. 2023. “Assessing Machine Learning Adoption at the Firm Level: The Moderating Effect of the Environmental Context.” In Procedia Computer Science, 219:1034–42. Elsevier B.V. https://doi.org/10.1016/j.procs.2023.01.381.
Floresta, Giuseppe, Chiara Zagni, Davide Gentile, Vincenzo Patamia, and Antonio Rescifina. 2022. “Artificial Intelligence Technologies for COVID-19 De Novo Drug Design.” International Journal of Molecular Sciences 23 (6): 3261. https://doi.org/10.3390/ijms23063261.
García Peñalvo, Francisco José, Faraón Llorens-Largo, and Javier Vidal. 2023. “La Nueva Realidad de La Educación Ante Los Avances de La Inteligencia Artificial Generativa.” RIED-Revista Iberoamericana de Educación a Distancia 27 (1): 9–39. https://doi.org/10.5944/ried.27.1.37716.
González, Ariel López, Mailyn Moreno-Espino, Ariadna Claudia Moreno Román, Yahima Hadfeg Fernández, and Nayma Cepero Pérez. 2024. “Ethics in Artificial Intelligence: An Approach to Cybersecurity.” Inteligencia Artificial 27 (73): 38–54. https://doi.org/10.4114/INTARTIF.VOL27ISS73PP38-54.
Govindan, Kannan, and Georgios Arampatzis. 2023. “A Framework to Measure Readiness and Barriers for the Implementation of Industry 4.0: A Case Approach.” Electronic Commerce Research and Applications 59 (May). https://doi.org/10.1016/j.elerap.2023.101249.
Graham, John. 2024. “Factors Influencing the Creation of an Industry 4.0 Strategy in the Generic Pharmaceutical Industry.” Journal of Generic Medicines: The Business Journal for the Generic Medicines Sector 20 (1): 28–46. https://doi.org/10.1177/17411343241238178.
Hagedorn, Jonathan M., Tony K. George, Rohit Aiyer, Keith Schmidt, John Halamka, and Ryan S. D’souza. 2024. “Artificial Intelligence and Pain Medicine: An Introduction.” Journal of Pain Research 17 (February):509–18. https://doi.org/10.2147/JPR.S429594.
Hajiani, Moushi, Eshtehardi, Ehsanollah, and Azizi, Mojtaba. 2024. “Extracting Behavioral Patterns in Crowdfunding Projects Using Artificial Intelligence and Identifying Key Investors.” Management Improvement [In persian].
Hein-Pensel, Franziska, Heiner Winkler, Anja Brückner, Mandy Wölke, Iren Jabs, Ines Jasmin Mayan, Amit Kirschenbaum, Julia Friedrich, and Christian Zinke-Wehlmann. 2023. “Maturity Assessment for Industry 5.0: A Review of Existing Maturity Models.” Journal of Manufacturing Systems 66 (February):200–210. https://doi.org/10.1016/j.jmsy.2022.12.009.
Higgins, David C., and Christian Johner. 2023. “Validation of Artificial Intelligence Containing Products Across the Regulated Healthcare Industries.” Therapeutic Innovation & Regulatory Science 57 (4): 797–809. https://doi.org/10.1007/s43441-023-00530-4.
Horani, Omar Mohammed, Ahmad Samed Al-Adwan, Husam Yaseen, Hazar Hmoud, Waleed Mugahed Al-Rahmi, and Ali Alkhalifah. 2023. “The Critical Determinants Impacting Artificial Intelligence Adoption at the Organizational Level.” Information Development. https://doi.org/10.1177/02666669231166889.
Horváth, Dóra, and Roland Zs Szabó. 2019. “Driving Forces and Barriers of Industry 4.0: Do Multinational and Small and Medium-Sized Companies Have Equal Opportunities?” Technological Forecasting and Social Change 146 (September):119–32. https://doi.org/10.1016/j.techfore.2019.05.021.
Irani, Z, A M Sharif, and P E D Love. 2001. “Transforming Failure into Success through Organisational Learning: An Analysis of a Manufacturing Information System.” European Journal of Information Systems 10 (1): 55–66. https://doi.org/10.1057/palgrave.ejis.3000384.
Javan, Vaheedeh. 2024. “The Impact of Artificial Intelligence on Progress in Pharmacology and Veterinary Pharmaceutical Industry.” Presented at The Second National Conference on New Veterinary Technologies. Amol [In persian].
https://civilica.com/doc/2123547.
Johnson & Johnson. “6 Ways Johnson & Johnson Is Using AI to Help Advance Healthcare.” Johnson & Johnson, October 10, 2024. https://www.jnj.com/innovation/artificial-intelligence-in-healthcare.
Jones, Matthew D., Scott Hutcheson, and Jorge D. Camba. 2021. “Past, Present, and Future Barriers to Digital Transformation in Manufacturing: A Review.” Journal of Manufacturing Systems 60 (July):936–48. https://doi.org/10.1016/j.jmsy.2021.03.006.
Kanani, Fatemeh, Rasoulian, Parisa, Hafari, Reza, and Ahangari, Saeedeh Alsadat. 2023. “Analyzing the Ecosystem of Artificial Intelligence in Iran and Identifying Its Institutional and Functional Gaps.” Science and Technology Policy. (2): 16-77 [In persian].
Kayikci, Yasanur, Yigit Kazancoglu, Nazlican Gozacan-Chase, Cisem Lafci, and Luciano Batista. 2022. “Assessing Smart Circular Supply Chain Readiness and Maturity Level of Small and Medium-Sized Enterprises.” Journal of Business Research 149 (October):375–92. https://doi.org/10.1016/j.jbusres.2022.05.042.
Khaksar, Seyed Mohammad Sadegh, Bret Slade, Jennifer Wallace, and Kaur Gurinder. 2020. “Critical Success Factors for Application of Social Robots in Special Developmental Schools: Development, Adoption and Implementation.” International Journal of Educational Management 34 (4): 677–96. https://doi.org/10.1108/IJEM-08-2019-0304.
Kinkel, Steffen, Marco Baumgartner, and Enrica Cherubini. 2022. “Prerequisites for the Adoption of AI Technologies in Manufacturing – Evidence from a Worldwide Sample of Manufacturing Companies.” Technovation 110 (February). https://doi.org/10.1016/j.technovation.2021.102375.
Kolluri, Sheela, Jianchang Lin, Rachael Liu, Yanwei Zhang, and Wenwen Zhang. 2022. “Machine Learning and Artificial Intelligence in Pharmaceutical Research and Development: A Review.” AAPS Journal 24 (1). https://doi.org/10.1208/S12248-021-00644-3.
Kuang, Da, Lili Weng, and Mo Kuang. 2026. “Optimization Management Method of Enterprise Logistics Supply Chain Based on Artificial Intelligence(AI).” International Journal of Computational Systems Engineering 10 (1–4). https://doi.org/10.1504/IJCSYSE.2026.10062508.
Kulkov, Ignat. 2021. “The Role of Artificial Intelligence in Business Transformation: A Case of Pharmaceutical Companies.” Technology in Society 66 (August):101629. https://doi.org/10.1016/J.TECHSOC.2021.101629.
Kumar, Ashwani, Venkatesh Mani, Vranda Jain, Himanshu Gupta, and V. G. Venkatesh. 2023. “Managing Healthcare Supply Chain through Artificial Intelligence (AI): A Study of Critical Success Factors.” Computers and Industrial Engineering 175 (January). https://doi.org/10.1016/j.cie.2022.108815.
Kumar, K. Dhinesh, L. Karunamoorthy, Hubert Roth, and T. T. Mirnalinee. 2005. “Computers in Manufacturing: Towards Successful Implementation of Integrated Automation System.” Technovation 25 (5): 477–88. https://doi.org/10.1016/j.technovation.2003.09.004.
Kumar, Pramod, Jaiprakash Bhamu, and Kuldip Singh Sangwan. 2021. “Analysis of Barriers to Industry 4.0 Adoption in Manufacturing Organizations: An ISM Approach.” In Procedia CIRP, 98:85–90. Elsevier B.V. https://doi.org/10.1016/j.procir.2021.01.010.
Kumar, Veepan, Prem Vrat, and Ravi Shankar. 2021. “Prioritization of Strategies to Overcome the Barriers in Industry 4.0: A Hybrid MCDM Approach.” OPSEARCH 58 (3): 711–50. https://doi.org/10.1007/s12597-020-00505-1.
Lee, Jai Woo, Miguel A. Maria-Solano, Thi Ngoc Lan Vu, Sanghee Yoon, and Sun Choi. 2022. “Big Data and Artificial Intelligence (AI) Methodologies for Computer-Aided Drug Design (CADD).” Biochemical Society Transactions 50 (1): 241–52. https://doi.org/10.1042/BST20211240.
Leso, Bernardo Henrique, Marcelo Nogueira Cortimiglia, and Antonio Ghezzi. 2023. “The Contribution of Organizational Culture, Structure, and Leadership Factors in the Digital Transformation of SMEs: A Mixed-Methods Approach.” Cognition, Technology and Work 25 (1): 151–79. https://doi.org/10.1007/s10111-022-00714-2.
Li, Xue, and Kum Fai Yuen. 2022. “Autonomous Ships: A Study of Critical Success Factors.” Maritime Economics and Logistics 24 (2): 228–54. https://doi.org/10.1057/s41278-022-00212-2.
Lim, Chiehyeon, Kwang Jae Kim, and Paul P. Maglio. 2018. “Smart Cities with Big Data: Reference Models, Challenges, and Considerations.” Cities 82 (December):86–99. https://doi.org/10.1016/j.cities.2018.04.011.
Merhi, Mohammad I. 2021a. “Evaluating the Critical Success Factors of Data Intelligence Implementation in the Public Sector Using Analytical Hierarchy Process.” Technological Forecasting and Social Change 173 (December):121180. https://doi.org/10.1016/j.techfore.2021.121180.
Merhi, Mohammad I. 2021b. “Evaluating the Critical Success Factors of Data Intelligence Implementation in the Public Sector Using Analytical Hierarchy Process.” Technological Forecasting and Social Change 173 (December). https://doi.org/10.1016/j.techfore.2021.121180.
Merhi, Mohammad I. 2023. An Evaluation of the Critical Success Factors Impacting Artificial Intelligence Implementation.” International Journal of Information Management 69 (April). https://doi.org/10.1016/j.ijinfomgt.2022.102545.
Nabukenya, Josephine, Lydia Drumright, Andrew Egwar Alunyu, and Agnes Rwashana Semwanga. 2023. “Critical Risk and Success Factors for Sustainability of an Electronic Health Data Capture, Processing and Dissemination Platform for Uganda.” Health Informatics Journal 29 (2). https://doi.org/10.1177/14604582231180576.
Nimawat, Dheeraj, and Bhagwan Das Gidwani. 2023. “An Initial Survey on the Readiness of Industry 4.0 Adoption in the Manufacturing Industries.” International Journal of Advanced Manufacturing Technology 129 (3–4): 1613–30. https://doi.org/10.1007/s00170-023-12385-y.
Nirmal, Deepak Datta, K. Nageswara Reddy, Amrik S. Sohal, and Minakshi Kumari. 2023. “Development of a Framework for Adopting Industry 4.0 Integrated Sustainable Supply Chain Practices: ISM–MICMAC Approach.” Annals of Operations Research. https://doi.org/10.1007/s10479-023-05427-x.
Oldemeyer, Leon, Andreas Jede, and Frank Teuteberg. 2024. “Investigation of Artificial Intelligence in SMEs: A Systematic Review of the State of the Art and the Main Implementation Challenges.” Management Review Quarterly. https://doi.org/10.1007/s11301-024-00405-4.
Panjekoubi, Raheleh, and Firoozi Jahantigh, Farzad. 2021. “Identifying and Assessing Risk Factors in the Pharmaceutical Supply Chain Using Artificial Intelligence.” Hospital. 20 (4): 42-50 [In persian].
Paul, Debleena, Gaurav Sanap, Snehal Shenoy, Dnyaneshwar Kalyane, Kiran Kalia, and Rakesh K. Tekade. 2021. “Artificial Intelligence in Drug Discovery and Development.” Drug Discovery Today 26 (1): 80–93. https://doi.org/10.1016/J.DRUDIS.2020.10.010.
Pfizer. 2025. “Artificial Intelligence: On a Mission to Make Clinical Drug Development Faster and Smarter | Pfizer.” Accessed April 11, 2025. https://www.pfizer.com/news/articles/artificial_intelligence_on_a_mission_to_make_clinical_drug_development_faster_and_smarter.
Pinto, Marcelo Rezende, Paula Karina Salume, Marcelo Werneck Barbosa, and Paulo Renato de Sousa. 2023. “The Path to Digital Maturity: A Cluster Analysis of the Retail Industry in an Emerging Economy.” Technology in Society 72 (February). https://doi.org/10.1016/j.techsoc.2022.102191.
Pishva, Seyed Pouyan, and Mousavi, Seyedeh Zahra. 2024. “Examining the Use of Artificial Intelligence in Pharmacology and Drug Discovery.” Quarterly Journal of Medical Sciences, Islamic Azad University. (116): 105-111 [In persian].
Plattfaut, Ralf, Vincent Borghoff, Marie Godefroid, Julian Koch, Michael Trampler, and André Coners. 2022. “The Critical Success Factors for Robotic Process Automation.” Computers in Industry 138 (June). https://doi.org/10.1016/j.compind.2022.103646.
Poulose, Shobitha, Biplab Bhattacharjee, and Arjun Chakravorty. 2024. “Determinants and Drivers of Change for Digital Transformation and Digitalization in Human Resource Management: A Systematic Literature Review and Conceptual Framework Building.” Management Review Quarterly. https://doi.org/10.1007/s11301-024-00423-2.
Saihi, Afef, Mohamed Ben-Daya, and Rami As’ad. 2022. “A Survey of the Underlying Success Factors of Maintenance Digital Transformation.” In IFAC-PapersOnLine, 55:2944–49. Elsevier B.V. https://doi.org/10.1016/j.ifacol.2022.10.179.
Saihi, Afef, Mohamed Ben-Daya, and Rami As’ad. 2023. Underpinning Success Factors of Maintenance Digital Transformation: A Hybrid Reactive Delphi Approach.” International Journal of Production Economics 255 (January). https://doi.org/10.1016/j.ijpe.2022.108701.
Sánchez-Corcuera, Ruben, Adrián Nuñez-Marcos, Jesus Sesma-Solance, Aritz Bilbao-Jayo, Rubén Mulero, Unai Zulaika, Gorka Azkune, and Aitor Almeida. 2019. “Smart Cities Survey: Technologies, Application Domains and Challenges for the Cities of the Future.” International Journal of Distributed Sensor Networks. SAGE Publications Ltd. https://doi.org/10.1177/1550147719853984.
Sauer, Philipp C., and Stefan Seuring. 2023. “How to Conduct Systematic Literature Reviews in Management Research: A Guide in 6 Steps and 14 Decisions.” Review of Managerial Science 17 (5): 1899–1933. https://doi.org/10.1007/s11846-023-00668-3.
Schumacher, Andreas, Tanja Nemeth, and Wilfried Sihn. 2019. “Roadmapping towards Industrial Digitalization Based on an Industry 4.0 Maturity Model for Manufacturing Enterprises.” In Procedia CIRP, 79:409–14. Elsevier B.V. https://doi.org/10.1016/j.procir.2019.02.110.
Sergei, Titov, Trachuk Arkady, Linder Natalya, R. D. Pathak, Danny Samson, Zafar Husain, and S. Sushil. 2023a. “Digital Transformation Enablers in High-Tech and Low-Tech Companies: A Comparative Analysis.” Australian Journal of Management 48 (4): 801–43. https://doi.org/10.1177/03128962231157102.
Sergei, Titov, Trachuk Arkady, Linder Natalya, RD Pathak, Danny Samson, Zafar Husain, and S Sushil. 2023b. “Digital Transformation Enablers in High-Tech and Low-Tech Companies: A Comparative Analysis.” Australian Journal of Management 48 (4): 801–43. https://doi.org/10.1177/03128962231157102.
Shafiei, Mojgan. 2022. “Examining the Impact of Artificial Intelligence on Health Sector Businesses.” Entrepreneurship Research Journal. 1 (1): 31-46 [In persian].
Sharma, Mahak, Rajat Sehrawat, Mihalis Giannakis, and Yogesh K. Dwivedi. 2024. “RETRACTED ARTICLE: Learnings from Industry 4.0 for Transitioning towards Industry 4.0+: Challenges and Solutions for Indian Pharmaceutical Sector(Annals of Operations Research, (2024), 337, (S27–S28)).” Annals of Operations Research. Springer. https://doi.org/10.1007/s10479-023-05391-6.
Sharma, Mahak, Rakesh D. Raut, Rajat Sehrawat, and Alessio Ishizaka. 2023. “Digitalisation of Manufacturing Operations: The Influential Role of Organisational, Social, Environmental, and Technological Impediments.” Expert Systems with Applications 211 (January). https://doi.org/10.1016/j.eswa.2022.118501.
Shinde, Amol, Dilip Pawar, and Kunal Sonawane. 2021. “Automation in Pharmaceutical Sector by Implementation of Artificial Intelligence Platform: A Way Forward.” International Journal of Basic & Clinical Pharmacology 10 (7): undefined-undefined. https://doi.org/10.18203/2319-2003.IJBCP20212387.
Simetinger, František, and Josef Basl. 2022. “A Pilot Study: An Assessment of Manufacturing SMEs Using a New Industry 4.0 Maturity Model for Manufacturing Small- and Middle-Sized Enterprises (I4MMSME).” In Procedia Computer Science, 200:1068–77. Elsevier B.V. https://doi.org/10.1016/j.procs.2022.01.306.
Singh, Arpit, Ashish Dwivedi, Dindayal Agrawal, and Durgesh Singh. 2023. “Identifying Issues in Adoption of AI Practices in Construction Supply Chains: Towards Managing Sustainability.” Operations Management Research 16 (4): 1667–83. https://doi.org/10.1007/s12063-022-00344-x.
Sohn, Kwonsang, and Ohbyung Kwon. 2020. “Technology Acceptance Theories and Factors Influencing Artificial Intelligence-Based Intelligent Products.” Telematics and Informatics 47 (April):101324. https://doi.org/10.1016/J.TELE.2019.101324.
Solaimani, Sam, and Lucas Swaak. n.d. “Critical Success Factors in the Adoption of Artificial Intelligence: A Necessary Condition Analysis.” https://ssrn.com/abstract=4234144.
Soltanzadeh, Javad, Elyasi, Mehdi, Bamdad Sufi, Jahaniar, and Kazazi, Abolfazl. 2017. “Identifying Microfoundations of Innovation Capability in National Pharmaceutical Manufacturing Companies: A Multi-Case Study.” Management Improvement. (35): 163-206 [In persian].
Tijan, Edvard, Marija Jović, Saša Aksentijević, and Andreja Pucihar. 2021. “Digital Transformation in the Maritime Transport Sector.” Technological Forecasting and Social Change 170 (September). https://doi.org/10.1016/j.techfore.2021.120879.
UNCTAD. 2021. “Technology and Innovation Report.” New York: United Nations. https://portal.issn.org/resource/ISSN/2076-2917.
Varajão, João, Gabriela Fernandes, and António Amaral. 2023. “Linking Information Systems Team Resilience to Project Management Success.” Project Leadership and Society 4 (December). https://doi.org/10.1016/j.plas.2023.100094.
Verma, Anju, and Murugesan Venkatesan. 2022. “HR Factors for the Successful Implementation of Industry 4.0: A Systematic Literature Review.” Journal of General Management. SAGE Publications Ltd. https://doi.org/10.1177/03063070211019141.
Verma, Pratima, Vimal Kumar, Tugrul Daim, Nagendra Kumar Sharma, and Ankesh Mittal. 2022. “Identifying and Prioritizing Impediments of Industry 4.0 to Sustainable Digital Manufacturing: A Mixed Method Approach.” Journal of Cleaner Production 356 (July). https://doi.org/10.1016/j.jclepro.2022.131639.
Wang, Rui, Li ming Guo, Chao Cao, and Yan sheng Chen. 2023a. “The Key Success Factors of the AI Industry Entrepreneurial Process in China Great Bay Area: A Systematic Approach Study.” Technological Forecasting and Social Change 186 (January). https://doi.org/10.1016/j.techfore.2022.122170.
Wang, Rui, Li-ming Guo, Chao Cao, and Yan-sheng Chen. 2023b. “The Key Success Factors of the AI Industry Entrepreneurial Process in China Great Bay Area: A Systematic Approach Study.” Technological Forecasting and Social Change 186 (January):122170. https://doi.org/10.1016/j.techfore.2022.122170.
Wang, Shan, Jinwei Di, Dan Wang, Xudong Dai, Yabing Hua, Xiang Gao, Aiping Zheng, and Jing Gao. 2022. “State-of-the-Art Review of Artificial Neural Networks to Predict, Characterize and Optimize Pharmaceutical Formulation.” Pharmaceutics 14 (1): 183. https://doi.org/10.3390/pharmaceutics14010183.
Wankhede, Vishal Ashok, and S. Vinodh. 2021. “Analysis of Industry 4.0 Challenges Using Best Worst Method: A Case Study.” Computers and Industrial Engineering 159 (September). https://doi.org/10.1016/j.cie.2021.107487.
Waqar, Ahsan, Andri, Abdul Hannan Qureshi, Hamad R. Almujibah, Liza Evianti Tanjung, and Citra Utami. 2023. “Evaluation of Success Factors of Utilizing AI in Digital Transformation of Health and Safety Management Systems in Modern Construction Projects.” Ain Shams Engineering Journal 14 (11). https://doi.org/10.1016/j.asej.2023.102551.
Werth, Oliver, Davinia Rodríguez Cardona, Albert Torno, Michael H. Breitner, and Jan Muntermann. 2023. “What Determines FinTech Success?—A Taxonomy-Based Analysis of FinTech Success Factors.” Electronic Markets 33 (1). https://doi.org/10.1007/s12525-023-00626-7.
Westenberger, Jens, Kajetan Schuler, and Dennis Schlegel. 2021. “Failure of AI Projects: Understanding the Critical Factors.” In Procedia Computer Science, 196:69–76. Elsevier B.V. https://doi.org/10.1016/j.procs.2021.11.074.
Westerman, George, McAfee, Andrew, and Benh, Didier. 2019. Digital Transformation. Tehran: Nas Publishing [In persian].
Yang, Li, Haobo Zou, Chao Shang, Xiaoming Ye, and Pratibha Rani. 2023. “Adoption of Information and Digital Technologies for Sustainable Smart Manufacturing Systems for Industry 4.0 in Small, Medium, and Micro Enterprises (SMMEs).” Technological Forecasting and Social Change 188 (March). https://doi.org/10.1016/j.techfore.2022.122308.
Yilmaz, Aysegul, Manoj Dora, Behzad Hezarkhani, and Maneesh Kumar. 2022. “Lean and Industry 4.0: Mapping Determinants and Barriers from a Social, Environmental, and Operational Perspective.” Technological Forecasting and Social Change 175 (February). https://doi.org/10.1016/j.techfore.2021.121320.
Zaslavsky, Jonathan, Pauric Bannigan, and Christine Allen. 2023. “Re-Envisioning the Design of Nanomedicines: Harnessing Automation and Artificial Intelligence.” Expert Opinion on Drug Delivery 20 (2): 241–57. https://doi.org/10.1080/17425247.2023.2167978.
Zide, Olwethu, and Osden Jokonya. 2021. “Factors Affecting the Adoption of Data Management as a Service (DMaaS) in Small and Medium Enterprises (SMEs).” In Procedia Computer Science, 196:340–47. Elsevier B.V. https://doi.org/10.1016/j.procs.2021.12.022.
