Wamba-Taguimdje, S. L., Fosso Wamba, S., Kala Kamdjoug, J. R., & Tchatchouang Wanko, C. E. (2020). Influence of Artificial Intelligence (AI) on Firm Performance: The Business Value of AI-Based Transformation Projects. Business Process Management Journal, 26(7), 1893–1924. DOI: https://doi.org/10.1108/BPMJ-10-2019-0411 .

Su, H., Du, X., Chen, Y., Tian, S., Ma, Q., & Zhong, W. (2025). Value Co-Creation Mechanism for AI-Based Enterprises with Systems Thinking: Case Study of Baidu. Systems Research and Behavioral Science, 42(4), 1142–1162. DOI: https://doi.org/10.1002/sres.3065 .

Yablonsky, S. (2021). AI-Driven Platform Enterprise Maturity: From Human Led to Machine Governed. Kybernetes, 50(10), 2753–2789. DOI: https://doi.org/10.1108/K-06-2020-0384 .

Serey, J., Alfaro, M., Fuertes, G., Vargas, M., Ternero, R., Duran, C., … Gutierrez, S. (2023, October 1). Framework for the Strategic Adoption of Industry 4.0: A Focus on Intelligent Systems. Processes. Multidisciplinary Digital Publishing Institute (MDPI). DOI: https://doi.org/10.3390/pr11102973 .

Chowdhury, S., Dey, P., Joel-Edgar, S., Bhattacharya, S., Rodriguez-Espindola, O., Abadie, A., & Truong, L. (2023). Unlocking the Value of Artificial Intelligence in Human Resource Management Through AI Capability Framework. Human Resource Management Review, 33(1). DOI: https://doi.org/10.1016/j.hrmr.2022.100899 .

Yablonsky, S. A. (2019). Multidimensional Data-Driven Artificial Intelligence Innovation. Technology Innovation Management Review, 9(12), 16–28. DOI: https://doi.org/10.22215/timreview/1288 .

Sadiq, R. B., Safie, N., Abd Rahman, A. H., & Goudarzi, S. (2021). Artificial Intelligence Maturity Model: A Systematic Literature Review. PeerJ Computer Science, 7, 1–27. DOI: https://doi.org/10.7717/peerj-cs.661 .

Ouchtout, W. A., Zaki, S., & Idrissi Gartoumi, K. (2025). Advancing Digital Innovation in the AEC Industry: A Bibliometric Analysis on the BIM, AI and IoT Integration. In IOP Conference Series: Earth and Environmental Science (Vol. 1499). Institute of Physics. DOI: https://doi.org/10.1088/1755-1315/1499/1/012010 .

Ali, M., & Miller, L. (2017). ERP System Implementation in Large Enterprises – A Systematic Literature review. Journal of Enterprise Information Management. Emerald Group Publishing Ltd. DOI: https://doi.org/10.1108/JEIM-07-2014-0071 .

Trunk, A., Birkel, H., & Hartmann, E. (2020). On the Current State of Combining Human and Artificial Intelligence for Strategic Organizational Decision Making. Business Research, 13(3), 875–919. DOI: https://doi.org/10.1007/s40685-020-00133-x .

Liao, Q. V., Gruen, D., & Miller, S. (2020). Questioning the AI: Informing Design Practices for Explainable AI User Experiences. In Conference on Human Factors in Computing Systems - Proceedings. Association for Computing Machinery. DOI: https://doi.org/10.1145/3313831.3376590 .

Barenkamp, M., Rebstadt, J., & Thomas, O. (2020). Applications of AI in Classical Software Engineering. AI Perspectives, 2(1). DOI: https://doi.org/10.1186/s42467-020-00005-4 .

Essed, A., Iyiola, K., & Alzubi, A. (2025). Unpacking Artificial Intelligence’s Role in the Energy Transition: The Mediating and Moderating Roles of Knowledge Production and Financial Development. Energies, 18(17). DOI: https://doi.org/10.3390/en18174512 .

Rampini, L., & Re Cecconi, F. (2024). Is the Construction Sector Ready for Artificial Intelligence? In Advances in Science, Technology and Innovation (pp. 165–172). Springer Nature. DOI: https://doi.org/10.1007/978-3-031-52303-8_12 .

Purohit, R., & Banerjee, T. (2025). Artificial Intelligence-Based Organizational Decision-Making in Recruitment practice. Human Systems Management, 44(1), 173–186. DOI: https://doi.org/10.3233/HSM-240044 .

Vereschak, O., Bailly, G., & Caramiaux, B. (2021). How to Evaluate Trust in AI-Assisted Decision Making? A Survey of Empirical Methodologies. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW2). DOI: https://doi.org/10.1145/3476068 .

Mardiani, E., Judijanto, L., & Rukmana, A. Y. (2023). Improving Trust and Accountability in AI Systems through Technological Era Advancement for Decision Support in Indonesian Manufacturing Companies. West Science Interdisciplinary Studies, 1(10), 1019–1027. DOI: https://doi.org/10.58812/wsis.v1i10.301

Fedosovsky, M. E., Uvarov, M. M., Aleksanin, S. A., Pyrkin, A. A., Colombo, A. W., & Prattichizzo, D. (2022). Sustainable Hyperautomation in High-Tech Manufacturing Industries: A Case of Linear Electromechanical Actuators. IEEE Access, 10, 98204–98219. DOI: https://doi.org/10.1109/ACCESS.2022.3205623

Chou, W. H., & Chou, C. H. (2025). From Human Teller to Virtual Assistant: A Study on Chatbot Adoption in Leading Banks. Issues in Information Systems, 26(1), 446–457. DOI: 1350-Article Text-3126-1-2-20251223.doc

Bécue, A., Gama, J., & Brito, P. Q. (2024). AI’s Effect on Innovation Capacity in the Context of Industry 5.0: a Scoping Review. Artificial Intelligence Review, 57(8). DOI: https://doi.org/10.1007/s10462-024-10864-6

Assanova, A., Issaeva, A., Dzhubalieva, Z., Arzikulova, R., & Uchkampirova, A. (2025). Financial-Digital Investments in Human Capital as a Factor of Sustainable Economic Growth: Assessment, Dynamics and Impact of Artificial Intelligence (a Kazakhstan Case Study). Economic Annals-XXI, 213(1–2), 18–29. DOI: https://doi.org/10.21003/ea.V213-02

Agrawal, R., Wankhede, V. A., Kumar, A., Luthra, S., Majumdar, A., & Kazancoglu, Y. (2022). An Exploratory State-of-the-Art Review of Artificial Intelligence Applications in Circular Economy using Structural Topic Modeling. Operations Management Research, 15(3–4), 609–626. DOI: https://doi.org/10.1007/s12063-021-00212-0

Słoniec, J., Kulisz, M., Małecka-Dobrogowska, M., Konurbayeva, Z., & Sobaszek, Ł. (2025). Awareness of the Impact of IT/AI on Energy Consumption in Enterprises: A Machine Learning-Based Modelling Towards a Sustainable Digital Transformation. Energies, 18(21). DOI: https://doi.org/10.3390/en18215573

Southworth, J., Migliaccio, K., Glover, J., Glover, J. N., Reed, D., McCarty, C., … Thomas, A. (2023). Developing a Model for AI Across the Curriculum: Transforming the Higher Education Landscape Via Innovation in AI Literacy. Computers and Education: Artificial Intelligence, 4. DOI: https://doi.org/10.1016/j.caeai.2023.100127

Jaiswal, A., Arun, C. J., & Varma, A. (2022). Rebooting Employees: Upskilling for Artificial Intelligence in Multinational Corporations. International Journal of Human Resource Management, 33(6), 1179–1208. DOI: https://doi.org/10.1080/09585192.2021.1891114

Stephany, F., & Teutloff, O. (2024). What is the Price of a Skill? The Value of Complementarity. Research Policy, 53(1). DOI: https://doi.org/10.1016/j.respol.2023.104898 .

Lee, H. K. (2022). Rethinking Creativity: Creative Industries, AI and Everyday Creativity. Media, Culture and Society, 44(3), 601–612. DOI: https://doi.org/10.1177/01634437221077009 .

Khan, A. N., Mehmood, K., & Kwan, H. K. (2024). Green Knowledge Management: A Key Driver of Green Technology Innovation and Sustainable Performance in the Construction Organizations. Journal of Innovation and Knowledge, 9(1). DOI: https://doi.org/10.1016/j.jik.2023.100455 .

Badghish, S., & Soomro, Y. A. (2024). Artificial Intelligence Adoption by SMEs to Achieve Sustainable Business Performance: Application of Technology–Organization–Environment Framework. Sustainability (Switzerland), 16(5). DOI: https://doi.org/10.3390/su16051864 .

Kim, H. K., & Lee, C. W. (2021). Relationships Among Healthcare Digitalization, Social Capital, and Supply Chain Performance in the Healthcare Manufacturing Industry. International Journal of Environmental Research and Public Health, 18(4), 1–13. DOI: https://doi.org/10.3390/ijerph18041417

Khan, M. S., Umer, H., & Faruqe, F. (2024). Artificial Intelligence for Low Income Countries. Humanities and Social Sciences Communications, 11(1). DOI: https://doi.org/10.1057/s41599-024-03947-w

Arcelay, I., Goti, A., Oyarbide-Zubillaga, A., Akyazi, T., Alberdi, E., & Garcia-Bringas, P. (2021). Definition of the Future Skills Needs of Job Profiles in the Renewable Energy Sector. Energies, 14(9). DOI: https://doi.org/10.3390/en14092609

Amankwah-Amoah, J., & Appiah, G. (2025). Unmasking the Silent Threat: AI-Induced Human Capital Obsolescence and Business Failure. Journal of Managerial Psychology. DOI: https://doi.org/10.1108/JMP-05-2024-0385

Bounfour, A., Nonnis, A., & Yang, S. (2025). Assessing the Impact of AI Skills on Firm Productivity: a Cross-Country Analysis. Digital Transformation and Society, 4(3), 299–311. DOI: https://doi.org/10.1108/DTS-06-2024-0090

Rademakers, E., & Zierahn-Weilage, U. (2024). New Technologies: End of Work or Structural Change? Economists’ Voice, 21(2), 335–344. DOI: https://doi.org/10.1515/ev-2024-0046 .

Sira, M. (2025). A Gap Analysis Framework for Enterprise AI Implementation. Production Engineering Archives, 31(3), 291–310. DOI: https://doi.org/10.30657/pea.2025.31.28 .

Call, M. L., Jiang, K., & Idso, C. (2025). Star Advantage: Employee Value Creation and Capture in the Age of Artificial Intelligence. Human Resource Management. DOI: https://doi.org/10.1002/hrm.70023 .

Xu, G., & Xue, M. (2025). The Relationship Between Proactive Personality and Migrant Workers’ Perception of Technical Unemployment Risk Under the Impact of Artificial Intelligence in China. Frontiers in Psychology, 16. DOI: https://doi.org/10.3389/fpsyg.2025.1474639 .

Shannaq, B., Sriram, V. P., Alrawahi, S., Muniyanayaka, D. K., & Ali, O. (2025). An AI and NLP Framework for Extracting Leadership Competencies and Mapping Personalized Training Paths: A Strategic Approach for Human Resource Development. Bangladesh Journal of Multidisciplinary Scientific Research, 10(5), 1–11. DOI: https://doi.org/10.46281/xpyf6042 .

Wang, K., Cui, W., & Yuan, X. (2025). Artificial Intelligence in Higher Education: The Impact of Need Satisfaction on Artificial Intelligence Literacy Mediated by Self-Regulated Learning Strategies. Behavioral Sciences, 15(2). DOI: https://doi.org/10.3390/bs15020165 .

Yu, G. (2024). Digital Transformation, Human Capital Upgrading, and Enterprise ESG Performance: Evidence from Chinese Listed Enterprises. Oeconomia Copernicana, 15(4), 1465–1508. DOI: https://doi.org/10.24136/oc.3058 .

Ramasamy, R. K., Muniandy, M., & Subramanian, P. (2025). A Predictive Framework for Sustainable Human Resource Management using tNPS-Driven Machine Learning Models. Sustainability (Switzerland), 17(13). DOI: https://doi.org/10.3390/su17135882 .

Zhang, Y., Chang, Y., Zhang, X., & Zhou, H. (2025). Artificial Intelligence and Enterprise Technological Innovation: Evidence From China. Managerial and Decision Economics, 46(7), 4056–4069. DOI: https://doi.org/10.1002/mde.70002 .

Safuan, S., & Syafira, A. (2024). Artificial Intelligence in Indonesian Ports: Opportunities and Challenges. Transactions on Maritime Science, 13(2). DOI: https://doi.org/10.7225/toms.v13.n02.w07 .

Billones, R. K. C., Lauresta, D. A. S., Dellosa, J. T., Bong, Y., Stergioulas, L. K., & Yunus, S. (2025). AI Ecosystem and Value Chain: A Multi-Layered Framework for Analyzing Supply, Value Creation, and Delivery Mechanisms. Technologies, 13(9). DOI: https://doi.org/10.3390/technologies13090421 .

Iuga, I. C., & Socol, A. (2024). Government Artificial Intelligence Readiness and Brain Drain: Influencing Factors and Spatial Effects in the European Union Member States. Journal of Business Economics and Management, 25(2), 268–296. DOI: https://doi.org/10.3846/jbem.2024.21136 .

Mohammadi, A. (2024). Industry-University Partnership Governance Base on New Technologies Emergence. Sustainable Social Development, 2. DOI: https://doi.org/10.54517/ssd3007 .

Wang, J., Wang, X., Sun, F., & Li, X. (2024). The Functional Mechanisms through Which Artificial Intelligence Influences the Innovation of Green Processes of Enterprises. Systems, 12(9). DOI: https://doi.org/10.3390/systems12090378 .

Nahavandi, S. (2019). Industry 5.0-a Human-Centric Solution. Sustainability (Switzerland), 11(16). DOI: https://doi.org/10.3390/su11164371 .

Johnson, M., Jain, R., Brennan-Tonetta, P., Swartz, E., Silver, D., Paolini, J., … Hill, C. (2021). Impact of Big Data and Artificial Intelligence on Industry: Developing a Workforce Roadmap for a Data Driven Economy. Global Journal of Flexible Systems Management, 22(3), 197–217. DOI: https://doi.org/10.1007/s40171-021-00272-y .

Soleas, E. K., Dittmer, D., Van Wylick, R., & Waddington, A. (2025). Demystifying Artificial Intelligence for Health Care Professionals: Continuing Professional Development as an Agent of Transformation Leading to Artificial Intelligence-Augmented Practice. Journal of Continuing Education in the Health Professions, 45(1), 52–55. DOI: https://doi.org/10.1097/CEH.0000000000000571 .

Mooradian N, Franks PC, Srivastav A (2025). The Impact of Artificial Intelligence on Data Privacy: a Risk Management Perspective. Records Management Journal, Vol. 35 No. 2 pp. 147–159. DOI: https://doi.org/10.1108/RMJ-06-2024-0013 .

Ntoutsi, E., Fafalios, P., Gadiraju, U., Iosifidis, V., Nejdl, W., Vidal, M. E., … Staab, S. (2020). Bias in Data-Driven Artificial Intelligence Systems—An Introductory Survey. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 10(3). DOI: https://doi.org/10.1002/widm.1356 .

Xu, X., & Song, Y. (2023). Is There a Conflict between Automation and Environment? Implications of Artificial Intelligence for Carbon Emissions in China. Sustainability (Switzerland), 15. DOI: https://doi.org/10.3390/su151612437 .

Marocco, S., Talamo, A., & Quintiliani, F. (2024). From Service Design Thinking to the Third Generation of Activity Theory: a New Model for Designing AI-based Decision-Support Systems. Frontiers in Artificial Intelligence, 7. DOI: https://doi.org/10.3389/frai.2024.1303691 .

Li, Q., Abdul Ghani Azmi, I. binti, & Norman, A. A. binti. (2025). Enhancing Sustainable Innovation through Workplace Well-Being and Digital Capability: A Systematic Literature Review Toward Responsible and Cleaner Consumption. Cleaner and Responsible Consumption, 18. DOI: https://doi.org/10.1016/j.clrc.2025.100305 .