Artificial intelligence in human resource management: A review of applications, algorithms, and ethical challenges
Abstract
Digital transformation of organizations has enhanced the adoption of Artificial Intelligence in Human Resource Management, which poses both opportunities and threats associated with algorithmic decision-making, ethical AI and workforce analytics. Although machine learning, natural language processing and predictive analytics are increasingly used in HR functions, the literature is still distributed in bits on how they are applied, algorithms, and ethical considerations. To fill this gap, the paper involves a systematic literature review guided by PRISMA on AI-HRM, automation in recruitment, talent analytics, and responsible AI. This paper investigate how smart HR systems, deep learning models, and HR analytics platforms are changing the field of recruitment, performance management, employee experience, and workforce planning. Emerging issues that include algorithmic bias, explainable AI, data privacy, and AI governance are also assessed in the review, which are growing in their effects on organizational adoption. The results show that AI use can improve efficiency, accuracy, and strategic HR decision-making, specifically, predictive analytics, talent intelligence, and digital HR transformation, yet presents the risk associated with transparency, fairness, and accountability. The review shows a revision of the HR technologies oriented on automation to human-AI collaboration, ethical AI systems, and responsible innovation, which body of HR work is changing its role in future of work. The research provides the study as a contribution to the literature by incorporating technological, managerial, and ethical viewpoints in a single AI-HRM research framework, which offers future researchers guidelines to improve the future of workforce analytics, AI governance, and sustainable digital transformation.
Full text article
References
[1] Di Vaio A, Palladino R, Hassan R, Escobar O. Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review. Journal of Business Research. 2020 Dec 1;121:283-314. https://doi.org/10.1016/j.jbusres.2020.08.019
[2] Demaidi MN. Artificial intelligence national strategy in a developing country. Ai & Society. 2025 Feb;40(2):423-35. https://doi.org/10.1007/s00146-023-01779-x
[3] Davenport TH, Ronanki R. Artificial intelligence for the real world. Harvard business review. 2018 Jan 1;96(1):108-16.
[4] Chu SC, Yim MY, Mundel J. Artificial intelligence, virtual and augmented reality, social media, online reviews, and influencers: a review of how service businesses use promotional devices and future research directions. International Journal of Advertising. 2025 Jul 4;44(5):798-828. https://doi.org/10.1080/02650487.2024.2325835
[5] Chowdhury S, Budhwar P, Wood G. Generative artificial intelligence in business: towards a strategic human resource management framework. British Journal of Management. 2024 Oct;35(4):1680-91. https://doi.org/10.1111/1467-8551.12824
[6] Chen Y, Biswas MI, Talukder MS. The role of artificial intelligence in effective business operations during COVID-19. International Journal of Emerging Markets. 2023 Dec 12;18(12):6368-87. https://doi.org/10.1108/IJOEM-11-2021-1666
[7] Chen R, Zhang T. Artificial intelligence applications implication for ESG performance: can digital transformation of enterprises promote sustainable development?. Chinese Management Studies. 2025 May 13;19(3):676-701. https://doi.org/10.1108/CMS-11-2023-0653
[8] Upadhyay N, Upadhyay S, Al-Debei MM, Baabdullah AM, Dwivedi YK. The influence of digital entrepreneurship and entrepreneurial orientation on intention of family businesses to adopt artificial intelligence: examining the mediating role of business innovativeness. International Journal of Entrepreneurial Behavior & Research. 2023 Jan 17;29(1):80-115. https://doi.org/10.1108/IJEBR-02-2022-0154
[9] Toniolo K, Masiero E, Massaro M, Bagnoli C. Sustainable business models and artificial intelligence: Opportunities and challenges. Knowledge, people, and digital transformation: Approaches for a sustainable future. 2020 Apr 23:103-17. https://doi.org/10.1007/978-3-030-40390-4_8
[10] Tingelhoff F, Brugger M, Leimeister JM. A guide for structured literature reviews in business research: The state-of-the-art and how to integrate generative artificial intelligence. Journal of Information Technology. 2025 Mar;40(1):77-99. https://doi.org/10.1177/02683962241304105
[11] Tavera Romero CA, Ortiz JH, Khalaf OI, Ríos Prado A. Business intelligence: business evolution after industry 4.0. Sustainability. 2021 Sep 7;13(18):10026. https://doi.org/10.3390/su131810026
[12] Swan M. Blockchain for business: Next-generation enterprise artificial intelligence systems. InAdvances in computers 2018 Jan 1 (Vol. 111, pp. 121-162). Elsevier. https://doi.org/10.1016/bs.adcom.2018.03.013
[13] Svetlana N, Anna N, Svetlana M, Tatiana G, Olga M. Artificial intelligence as a driver of business process transformation. Procedia Computer Science. 2022 Jan 1;213:276-84. https://doi.org/10.1016/j.procs.2022.11.067
[14] Storey VC, Yue WT, Zhao JL, Lukyanenko R. Generative artificial intelligence: Evolving technology, growing societal impact, and opportunities for information systems research. Information Systems Frontiers. 2025 Feb 25:1-22.
[15] Soni N, Sharma EK, Singh N, Kapoor A. Impact of artificial intelligence on businesses: from research, innovation, market deployment to future shifts in business models. arXiv preprint arXiv:1905.02092. 2019 May 3.
[16] Soni N, Sharma EK, Singh N, Kapoor A. Artificial intelligence in business: from research and innovation to market deployment. Procedia Computer Science. 2020 Jan 1;167:2200-10. https://doi.org/10.1016/j.procs.2020.03.272
[17] Yang S, Hussain M, Ammar Zahid RM, Maqsood US. The role of artificial intelligence in corporate digital strategies: evidence from China. Kybernetes. 2025 Mar 19;54(5):3062-82. https://doi.org/10.1108/K-08-2023-1583
[18] Xu JJ, Babaian T. Artificial intelligence in business curriculum: The pedagogy and learning outcomes. The International Journal of Management Education. 2021 Nov 1;19(3):100550. https://doi.org/10.1016/j.ijme.2021.100550
[19] Wright SA, Schultz AE. The rising tide of artificial intelligence and business automation: Developing an ethical framework. Business Horizons. 2018 Nov 1;61(6):823-32. https://doi.org/10.1016/j.bushor.2018.07.001
[20] William P, Panicker A, Falah A, Hussain A, Shrivastava A, Khan AK. The Emergence of Artificial Intelligence and Machine Learning in Contemporary Business Management. In2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM) 2023 Dec 12 (pp. 1-6). IEEE. https://doi.org/10.1109/ICCAKM58659.2023.10449493
[21] Wang Z, Li M, Lu J, Cheng X. Business Innovation based on artificial intelligence and Blockchain technology. Information Processing & Management. 2022 Jan 1;59(1):102759. https://doi.org/10.1016/j.ipm.2021.102759
[22] Singh S, Goyal MK. Enhancing climate resilience in businesses: the role of artificial intelligence. Journal of Cleaner Production. 2023 Sep 15;418:138228. https://doi.org/10.1016/j.jclepro.2023.138228
[23] Singh N, Chouhan SS. Role of artificial intelligence for development of intelligent business systems. In2021 IEEE International Symposium on Smart Electronic Systems (iSES) 2021 Dec 18 (pp. 373-377). IEEE. https://doi.org/10.1109/iSES52644.2021.00092
[24] Shwedeh F, Alzoubi HM. Creating and Evaluating Instructional Java Programming Codes with Utilization of Artificial Intelligence for Customized Business Requirements. InInternational Scientific Conference Management and Engineering 2024 Jun 23 (pp. 281-286). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-89889-1_31
[25] Shaik AS, Alshibani SM, Jain G, Gupta B, Mehrotra A. Artificial intelligence (AI)‐driven strategic business model innovations in small‐and medium‐sized enterprises. Insights on technological and strategic enablers for carbon neutral businesses. Business Strategy and the Environment. 2024 May;33(4):2731-51. https://doi.org/10.1002/bse.3617
[26] Sestino A, De Mauro A. Leveraging artificial intelligence in business: Implications, applications and methods. Technology Analysis & Strategic Management. 2022 Jan 2;34(1):16-29. https://doi.org/10.1080/09537325.2021.1883583
[27] Secundo G, Spilotro C, Gast J, Corvello V. The transformative power of artificial intelligence within innovation ecosystems: a review and a conceptual framework. Review of Managerial Science. 2025 Sep;19(9):2697-728. https://doi.org/10.1007/s11846-024-00828-z
[28] Schneider J, Abraham R, Meske C, Vom Brocke J. Artificial intelligence governance for businesses. Information Systems Management. 2023 Jul 3;40(3):229-49. https://doi.org/10.1080/10580530.2022.2085825
[29] Saxena M, Mishra DK. Artificial intelligence: the way ahead for employee engagement in corporate India. Global Knowledge, Memory and Communication. 2025 Jan 13;74(1/2):111-27. https://doi.org/10.1108/GKMC-09-2022-0215
[30] Sandeep SR, Ahamad S, Saxena D, Srivastava K, Jaiswal S, Bora A. To understand the relationship between Machine learning and Artificial intelligence in large and diversified business organisations. Materials Today: Proceedings. 2022 Jan 1;56:2082-6. https://doi.org/10.1016/j.matpr.2021.11.409
[31] Saleem I, Al-Breiki NS, Asad M. The nexus of artificial intelligence, frugal innovation and business model innovation to nurture internationalization: A survey of SME's readiness. Journal of Open Innovation: Technology, Market, and Complexity. 2024 Sep 1;10(3):100326. https://doi.org/10.1016/j.joitmc.2024.100326
[32] Sahoo S, Kumar S, Donthu N, Singh AK. Artificial intelligence capabilities, open innovation, and business performance-Empirical insights from multinational B2B companies. Industrial marketing management. 2024 Feb 1;117:28-41. https://doi.org/10.1016/j.indmarman.2023.12.008
[33] Quan XI, Sanderson J. Understanding the artificial intelligence business ecosystem. IEEE Engineering Management Review. 2018 Nov 20;46(4):22-5. https://doi.org/10.1109/EMR.2018.2882430
[34] Qin C, Zhang L, Cheng Y, Zha R, Shen D, Zhang Q, Chen X, Sun Y, Zhu C, Zhu H, Xiong H. A comprehensive survey of artificial intelligence techniques for talent analytics. Proceedings of the IEEE. 2025 Jun 6. https://doi.org/10.1109/JPROC.2025.3572744
[35] Qi B, Shen Y, Xu T. An artificial-intelligence-enabled sustainable supply chain model for B2C E-commerce business in the international trade. Technological forecasting and social change. 2023 Jun 1;191:122491. https://doi.org/10.1016/j.techfore.2023.122491
[36] Porkodi S, Cedro TL. The ethical role of generative artificial intelligence in modern HR decision-making: A systematic literature review. European Journal of Business and Management Research. 2025 Jan 23;10(1):44-55. https://doi.org/10.24018/ejbmr.2025.10.1.2535
[37] Perifanis NA, Kitsios F. Investigating the influence of artificial intelligence on business value in the digital era of strategy: A literature review. Information. 2023 Feb 2;14(2):85. https://doi.org/10.3390/info14020085
[38] Paramesha M, Rane N, Rane J. Big data analytics, artificial intelligence, machine learning, internet of things, and blockchain for enhanced business intelligence. Artificial Intelligence, Machine Learning, Internet of Things, and Blockchain for Enhanced Business Intelligence (June 6, 2024). 2024 Jun 6. https://doi.org/10.2139/ssrn.4855856
[39] Khan SA, Sheikh AA, Shamsi IR, Yu Z. The implications of artificial intelligence for small and medium-sized enterprises' sustainable development in the areas of blockchain technology, supply chain resilience, and closed-loop supply chains. Sustainability. 2025 Jan 4;17(1):334. https://doi.org/10.3390/su17010334
[40] Kerzel U. Enterprise AI Canvas Integrating artificial intelligence into business. Applied Artificial Intelligence. 2021 Jan 2;35(1):1-2. https://doi.org/10.1080/08839514.2020.1826146
[41] Kar AK, Kushwaha AK. Facilitators and barriers of artificial intelligence adoption in business-insights from opinions using big data analytics. Information Systems Frontiers. 2023 Aug;25(4):1351-74. https://doi.org/10.1007/s10796-021-10219-4
[42] Kanbach DK, Heiduk L, Blueher G, Schreiter M, Lahmann A. The GenAI is out of the bottle: generative artificial intelligence from a business model innovation perspective. Review of Managerial Science. 2024 Apr;18(4):1189-220. https://doi.org/10.1007/s11846-023-00696-z
[43] Kalogiannidis S, Kalfas D, Papaevangelou O, Giannarakis G, Chatzitheodoridis F. The role of artificial intelligence technology in predictive risk assessment for business continuity: A case study of Greece. Risks. 2024 Jan 23;12(2):19. https://doi.org/10.3390/risks12020019
[44] Jorzik P, Yigit A, Kanbach DK, Kraus S, Dabić M. Artificial intelligence-enabled business model innovation: Competencies and roles of top management. IEEE transactions on engineering management. 2023 May 24;71:7044-56. https://doi.org/10.1109/TEM.2023.3275643
[45] Pallathadka H, Ramirez-Asis EH, Loli-Poma TP, Kaliyaperumal K, Ventayen RJ, Naved M. Applications of artificial intelligence in business management, e-commerce and finance. Materials Today: Proceedings. 2023 Jan 1;80:2610-3. https://doi.org/10.1016/j.matpr.2021.06.419
[46] Oldemeyer L, Jede A, Teuteberg F. Investigation of artificial intelligence in SMEs: a systematic review of the state of the art and the main implementation challenges. Management Review Quarterly. 2025 Jun;75(2):1185-227. https://doi.org/10.1007/s11301-024-00405-4
[47] Naz H, Kashif M. Artificial intelligence and predictive marketing: an ethical framework from managers' perspective. Spanish Journal of Marketing-ESIC. 2025 Jan 2;29(1):22-45. https://doi.org/10.1108/SJME-06-2023-0154
[48] Mumtaz S, Carmichael J, Weiss M, Nimon-Peters A. Ethical use of artificial intelligence based tools in higher education: are future business leaders ready?. Education and Information Technologies. 2025 Apr;30(6):7293-319. https://doi.org/10.1007/s10639-024-13099-8
[49] Mishra AN, Pani AK. Business value appropriation roadmap for artificial intelligence. VINE Journal of Information and Knowledge Management Systems. 2021 May 31;51(3):353-68. https://doi.org/10.1108/VJIKMS-07-2019-0107
[50] Met İ, Kabukçu D, Uzunoğulları G, Soyalp Ü, Dakdevir T. Transformation of business model in finance sector with artificial intelligence and robotic process automation. InDigital business strategies in blockchain ecosystems: Transformational design and future of global business 2019 Nov 10 (pp. 3-29). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-29739-8_1
[51] Menzies J, Sabert B, Hassan R, Mensah PK. Artificial intelligence for international business: Its use, challenges, and suggestions for future research and practice. Thunderbird International Business Review. 2024 Mar;66(2):185-200. https://doi.org/10.1002/tie.22370
[52] Maslak OI, Maslak MV, Grishko NY, Hlazunova OO, Pererva PG, Yakovenko YY. Artificial intelligence as a key driver of business operations transformation in the conditions of the digital economy. In2021 IEEE International Conference on Modern Electrical and Energy Systems (MEES) 2021 Sep 21 (pp. 1-5). IEEE. https://doi.org/10.1109/MEES52427.2021.9598744
[53] Maiti M, Kayal P, Vujko A. A study on ethical implications of artificial intelligence adoption in business: challenges and best practices. Future Business Journal. 2025 Mar 13;11(1):34. https://doi.org/10.1186/s43093-025-00462-5
[54] Loureiro SM, Guerreiro J, Tussyadiah I. Artificial intelligence in business: State of the art and future research agenda. Journal of business research. 2021 May 1;129:911-26. https://doi.org/10.1016/j.jbusres.2020.11.001
[55] López-Solís O, Luzuriaga-Jaramillo A, Bedoya-Jara M, Naranjo-Santamaría J, Bonilla-Jurado D, Acosta-Vargas P. Effect of generative artificial intelligence on strategic decision-making in entrepreneurial business initiatives: A systematic literature review. Administrative Sciences. 2025 Feb 18;15(2):66. https://doi.org/10.3390/admsci15020066
[56] Wang X, Lin X, Shao B. How does artificial intelligence create business agility? Evidence from chatbots. International journal of information management. 2022 Oct 1;66:102535. https://doi.org/10.1016/j.ijinfomgt.2022.102535
[57] Wang S, Zhang H. Leveraging generative artificial intelligence for sustainable business model innovation in production systems. International Journal of Production Research. 2025 Apr 2:1-26.
[58] Wamba-Taguimdje SL, Fosso Wamba S, Kala Kamdjoug JR, Tchatchouang Wanko CE. Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects. Business process management journal. 2020 Nov 2;26(7):1893-924. https://doi.org/10.1108/BPMJ-10-2019-0411
[59] Wach K, Duong CD, Ejdys J, Kazlauskaitė R, Korzynski P, Mazurek G, Paliszkiewicz J, Ziemba E. The dark side of generative artificial intelligence: A critical analysis of controversies and risks of ChatGPT. Entrepreneurial Business and Economics Review. 2023 Jun 30;11(2):7-30. https://doi.org/10.15678/EBER.2023.110201
[60] Verma C, Vijayalakshmi P, Chaturvedi N, Umesh U, Rai A, Ahmad AY. Artificial Intelligence in Marketing Management: Enhancing Customer Engagement and Personalization. In2025 International Conference on Pervasive Computational Technologies (ICPCT) 2025 Feb 8 (pp. 397-401). IEEE. https://doi.org/10.1109/ICPCT64145.2025.10940626
[61] Varriale V, Cammarano A, Michelino F, Caputo M. Critical analysis of the impact of artificial intelligence integration with cutting-edge technologies for production systems. Journal of Intelligent Manufacturing. 2025 Jan;36(1):61-93. https://doi.org/10.1007/s10845-023-02244-8
[62] Vardarlier P, Zafer C. Use of artificial intelligence as business strategy in recruitment process and social perspective. InDigital business strategies in blockchain ecosystems: Transformational design and future of global business 2019 Nov 10 (pp. 355-373). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-29739-8_17
[63] Lee J, Suh T, Roy D, Baucus M. Emerging technology and business model innovation: the case of artificial intelligence. Journal of Open Innovation: Technology, Market, and Complexity. 2019 Sep 1;5(3):44. https://doi.org/10.3390/joitmc5030044
[64] Lada S, Chekima B, Karim MR, Fabeil NF, Ayub MS, Amirul SM, Ansar R, Bouteraa M, Fook LM, Zaki HO. Determining factors related to artificial intelligence (AI) adoption among Malaysia's small and medium-sized businesses. Journal of Open Innovation: Technology, Market, and Complexity. 2023 Dec 1;9(4):100144. https://doi.org/10.1016/j.joitmc.2023.100144
[65] Kumar S, Lim WM, Sivarajah U, Kaur J. Artificial intelligence and blockchain integration in business: trends from a bibliometric-content analysis. Information systems frontiers. 2023 Apr;25(2):871-96. https://doi.org/10.1007/s10796-022-10279-0
[66] Kumar D, Ratten V. Artificial intelligence and family businesses: a systematic literature review. Journal of Family Business Management. 2025 Apr 17;15(2):373-92. https://doi.org/10.1108/JFBM-08-2024-0160
[67] Kulkov I. The role of artificial intelligence in business transformation: A case of pharmaceutical companies. Technology in Society. 2021 Aug 1;66:101629. https://doi.org/10.1016/j.techsoc.2021.101629
[68] Kulkov I. Next-generation business models for artificial intelligence start-ups in the healthcare industry. International Journal of Entrepreneurial Behavior & Research. 2023 May 4;29(4):860-85. https://doi.org/10.1108/IJEBR-04-2021-0304
[69] Krishnan C, Gupta A, Gupta A, Singh G. Impact of artificial intelligence-based chatbots on customer engagement and business growth. InDeep learning for social media data analytics 2022 Sep 19 (pp. 195-210). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-10869-3_11
[70] Kim H, So KK, Shin S, Li J. Artificial intelligence in hospitality and tourism: Insights from industry practices, research literature, and expert opinions. Journal of Hospitality & Tourism Research.
[71] Jorzik P, Antonio JL, Kanbach DK, Kallmuenzer A, Kraus S. Sowing the seeds for sustainability: A business model innovation perspective on artificial intelligence in green technology startups. Technological forecasting and social change. 2024 Nov 1;208:123653. https://doi.org/10.1016/j.techfore.2024.123653
[72] Hu KH, Chen FH, Hsu MF, Tzeng GH. Governance of artificial intelligence applications in a business audit via a fusion fuzzy multiple rule-based decision-making model. Financial Innovation. 2023 Aug 14;9(1):117. https://doi.org/10.1186/s40854-022-00436-4
[73] Horani OM, Al-Adwan AS, Yaseen H, Hmoud H, Al-Rahmi WM, Alkhalifah A. The critical determinants impacting artificial intelligence adoption at the organizational level. Information Development. 2025 Sep;41(3):1055-79. https://doi.org/10.1177/02666669231166889
[74] Han R, Lam HK, Zhan Y, Wang Y, Dwivedi YK, Tan KH. Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions. Industrial Management & Data Systems. 2021 Nov 10;121(12):2467-97. https://doi.org/10.1108/IMDS-05-2021-0300
[75] Haenlein M, Huang MH, Kaplan A. Guest editorial: Business ethics in the era of artificial intelligence. Journal of Business Ethics. 2022 Jul;178(4):867-9. https://doi.org/10.1007/s10551-022-05060-x
[76] Gursoy D, Cai R. Artificial intelligence: an overview of research trends and future directions. International Journal of Contemporary Hospitality Management. 2025 Jan 2;37(1):1-7. https://doi.org/10.1108/IJCHM-03-2024-0322
[77] Goralski MA, Tan TK. Artificial intelligence and sustainable development. The International Journal of Management Education. 2020 Mar 1;18(1):100330. https://doi.org/10.1016/j.ijme.2019.100330
[78] Gong Q, Fan D, Bartram T. Integrating artificial intelligence and human resource management: a review and future research agenda. The International Journal of Human Resource Management. 2025 Jan 2;36(1):103-41. https://doi.org/10.1080/09585192.2024.2440065
[79] Ghimire A, Thapa S, Jha AK, Adhikari S, Kumar A. Accelerating business growth with big data and artificial intelligence. In2020 fourth international conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC) 2020 Oct 7 (pp. 441-448). IEEE. https://doi.org/10.1109/I-SMAC49090.2020.9243318
[80] Getchell KM, Carradini S, Cardon PW, Fleischmann C, Ma H, Aritz J, Stapp J. Artificial intelligence in business communication: The changing landscape of research and teaching. Business and Professional Communication Quarterly. 2022 Mar;85(1):7-33. https://doi.org/10.1177/23294906221074311
[81] Ruiz-Real JL, Uribe-Toril J, Arriaza Torres JA, de Pablo Valenciano J. Artificial intelligence in business and economics research: Trends and future. Business Economics and Management (JBEM). 2021;22(1):98-117. https://doi.org/10.3846/jbem.2020.13641
[82] Reim W, Åström J, Eriksson O. Implementation of artificial intelligence (AI): a roadmap for business model innovation. Ai. 2020 May 3;1(2):11. https://doi.org/10.3390/ai1020011
[83] Reier Forradellas RF, Garay Gallastegui LM. Digital transformation and artificial intelligence applied to business: Legal regulations, economic impact and perspective. Laws. 2021 Aug 27;10(3):70. https://doi.org/10.3390/laws10030070
[84] Rane NL, Paramesha M, Choudhary SP, Rane J. Artificial intelligence, machine learning, and deep learning for advanced business strategies: a review. Partners Universal International Innovation Journal. 2024 Jun 25;2(3):147-71. https://doi.org/10.2139/ssrn.4835661
[85] Rana NP, Chatterjee S, Dwivedi YK, Akter S. Understanding dark side of artificial intelligence (AI) integrated business analytics: assessing firm's operational inefficiency and competitiveness. European Journal of Information Systems. 2022 May 4;31(3):364-87. https://doi.org/10.1080/0960085X.2021.1955628
[86] Rajagopal NK, Qureshi NI, Durga S, Ramirez Asis EH, Huerta Soto RM, Gupta SK, Deepak S. Future of business culture: An artificial intelligence‐driven digital framework for organization decision‐making process. Complexity. 2022;2022(1):7796507. https://doi.org/10.1155/2022/7796507
[87] Sollosy M, McInerney M. Artificial intelligence and business education: What should be taught. The International Journal of Management Education. 2022 Nov 1;20(3):100720. https://doi.org/10.1016/j.ijme.2022.100720
[88] Sjödin D, Parida V, Kohtamäki M. Artificial intelligence enabling circular business model innovation in digital servitization: Conceptualizing dynamic capabilities, AI capacities, business models and effects. Technological Forecasting and Social Change. 2023 Dec 1;197:122903. https://doi.org/10.1016/j.techfore.2023.122903
[89] Sipola J, Saunila M, Ukko J. Adopting artificial intelligence in sustainable business. Journal of Cleaner Production. 2023 Nov 10;426:139197. https://doi.org/10.1016/j.jclepro.2023.139197
[90] Zulaikha S, Mohamed H, Kurniawati M, Rusgianto S, Rusmita SA. Customer predictive analytics using artificial intelligence. The Singapore Economic Review. 2025 Jun 6;70(04):1009-20. https://doi.org/10.1142/S0217590820480021
[91] Zhou X, Li G, Wang Q, Li Y, Zhou D. Artificial intelligence, corporate information governance and ESG performance: Quasi-experimental evidence from China. International Review of Financial Analysis. 2025 Jun 1;102:104087. https://doi.org/10.1016/j.irfa.2025.104087
[92] Fonseka K, Jaharadak AA, Raman M. Impact of E-commerce adoption on business performance of SMEs in Sri Lanka; moderating role of artificial intelligence. International Journal of Social Economics. 2022 May 16;49(10):1518-31. https://doi.org/10.1108/IJSE-12-2021-0752
[93] Feuerriegel S, Shrestha YR, von Krogh G, Zhang C. Bringing artificial intelligence to business management. Nature Machine Intelligence. 2022 Jul;4(7):611-3. https://doi.org/10.1038/s42256-022-00512-5
[94] Fallahi S, Mellquist AC, Mogren O, Listo Zec E, Algurén P, Hallquist L. Financing solutions for circular business models: Exploring the role of business ecosystems and artificial intelligence. Business Strategy and the Environment. 2023 Sep;32(6):3233-48. https://doi.org/10.1002/bse.3297
[95] Enholm IM, Papagiannidis E, Mikalef P, Krogstie J. Artificial intelligence and business value: A literature review. Information systems frontiers. 2022 Oct;24(5):1709-34. https://doi.org/10.1007/s10796-021-10186-w
[96] Drydakis N. Artificial Intelligence and reduced SMEs' business risks. A dynamic capabilities analysis during the COVID-19 pandemic. Information Systems Frontiers. 2022 Aug;24(4):1223-47. https://doi.org/10.1007/s10796-022-10249-6
[97] Doshi AR, Bell JJ, Mirzayev E, Vanneste BS. Generative artificial intelligence and evaluating strategic decisions. Strategic Management Journal. 2025 Mar;46(3):583-610. https://doi.org/10.1002/smj.3677
[98] Dirican C. The impacts of robotics, artificial intelligence on business and economics. Procedia-social and behavioral sciences. 2015 Jul 3;195:564-73. https://doi.org/10.1016/j.sbspro.2015.06.134
[99] Chen L, Jiang M, Jia F, Liu G. Artificial intelligence adoption in business-to-business marketing: toward a conceptual framework. Journal of Business & Industrial Marketing. 2022 Apr 15;37(5):1025-44. https://doi.org/10.1108/JBIM-09-2020-0448
[100] Chen J, Lim CP, Tan KH, Govindan K, Kumar A. Artificial intelligence-based human-centric decision support framework: an application to predictive maintenance in asset management under pandemic environments. Annals of Operations Research. 2025 Jul;350(2):493-516. https://doi.org/10.1007/s10479-021-04373-w
[101] Cavazza A, Dal Mas F, Paoloni P, Manzo M. Artificial intelligence and new business models in agriculture: a structured literature review and future research agenda. British Food Journal. 2023 Jul 12;125(13):436-61. https://doi.org/10.1108/BFJ-02-2023-0132
[102] Carter D. How real is the impact of artificial intelligence? The business information survey 2018. Business Information Review. 2018 Sep;35(3):99-115. https://doi.org/10.1177/0266382118790150
[103] Canhoto AI, Clear F. Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential. Business Horizons. 2020 Mar 1;63(2):183-93. https://doi.org/10.1016/j.bushor.2019.11.003
[104] Brynjolfsson E, Mcafee AN. The business of artificial intelligence. Harvard business review. 2017 Jul 18;7(1):1-2.
[105] Bolton C, Machová V, Kovacova M, Valaskova K. The power of human-machine collaboration: Artificial intelligence, business automation, and the smart economy. Economics, Management, and Financial Markets. 2018 Dec 1;13(4):51-6. https://doi.org/10.22381/EMFM13420184
[106] Bickley SJ, Macintyre A, Torgler B. Artificial intelligence and big data in sustainable entrepreneurship. Journal of Economic Surveys. 2025 Feb;39(1):103-45. https://doi.org/10.1111/joes.12611
[107] Bevilacqua S, Masárová J, Perotti FA, Ferraris A. Enhancing top managers' leadership with artificial intelligence: insights from a systematic literature review. Review of Managerial Science. 2025 Jan 22:1-37.
[108] Beheshti A, Yang J, Sheng QZ, Benatallah B, Casati F, Dustdar S, Nezhad HR, Zhang X, Xue S. ProcessGPT: transforming business process management with generative artificial intelligence. In2023 IEEE international conference on web services (ICWS) 2023 Jul 2 (pp. 731-739). IEEE. https://doi.org/10.1109/ICWS60048.2023.00099
[109] Badghish S, Soomro YA. Artificial intelligence adoption by SMEs to achieve sustainable business performance: application of technology-organization-environment framework. Sustainability. 2024 Feb 24;16(5):1864. https://doi.org/10.3390/su16051864
[110] Amirkolaii KN, Baboli A, Shahzad MK, Tonadre R. Demand forecasting for irregular demands in business aircraft spare parts supply chains by using artificial intelligence (AI). IFAC-PapersOnLine. 2017 Jul 1;50(1):15221-6. https://doi.org/10.1016/j.ifacol.2017.08.2371
[111] Almaraz-López C, Almaraz-Menéndez F, López-Esteban C. Comparative study of the attitudes and perceptions of university students in business administration and management and in education toward artificial intelligence. Education Sciences. 2023 Jun 15;13(6):609. https://doi.org/10.3390/educsci13060609
[112] Allal-Chérif O, Simón-Moya V, Ballester AC. Intelligent purchasing: How artificial intelligence can redefine the purchasing function. Journal of Business Research. 2021 Jan 1;124:69-76. https://doi.org/10.1016/j.jbusres.2020.11.050
[113] Alawadhi SA, Zowayed A, Abdulla H, Khder MA, Ali BJ. Impact of artificial intelligence on information security in business. In2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) 2022 Jun 22 (pp. 437-442). IEEE. https://doi.org/10.1109/ICETSIS55481.2022.9888871
[114] Alam A, Mohanty A. Business models, business strategies, and innovations in EdTech companies: integration of learning analytics and artificial intelligence in higher education. In2022 IEEE 6th Conference on Information and Communication Technology (CICT) 2022 Nov 18 (pp. 1-6). IEEE. https://doi.org/10.1109/CICT56698.2022.9997887
[115] Ahmed AA, Agarwal S, Kurniawan IG, Anantadjaya SP, Krishnan C. Business boosting through sentiment analysis using Artificial Intelligence approach. International Journal of System Assurance Engineering and Management. 2022 Mar;13(Suppl 1):699-709. https://doi.org/10.1007/s13198-021-01594-x
Authors
Copyright (c) 2026 Aparajeeta Patnaik (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright (c) 2025 International Journal of Applied Resilience and Sustainability (IJARS) 
This work is licensed under a Creative Commons Attribution 4.0 International License.