The DOI matches its Crossref record; 96 of the 99 references it cites were found in a registry or an index.
Artificial Intelligence and Business Strategy towards Digital Transformation: A Research Agenda
Open accessAbstract
In the past decade, current literature and businesses have drawn attention to Artificial Intelligence (AI) tools and in particular to the advances in machine learning techniques. Nevertheless, while the AI technology offers great potential to solve difficulties, challenges remain implicated in practical implementation and lack of expertise in the strategic usage of AI to create business value. This paper aims to implement a systematic literature review analyzing convergence of the AI and corporate strategy and develop a theoretical model incorporating issues based on the existing research in this field. Eighty-one peer-reviewed articles were discussed on the basis of research methodology from Webster and Watson (2002). In addition to gaps in future research, a theoretical model is developed, discussing the four sources of value creation: AI and Machine Learning in organizations; alignment of AI tools and Information Technology (IT) with organizational strategy; AI, knowledge management and decision-making process; and AI, service innovation and value. These outcomes lead to both theoretical and managerial viewpoints, with extensive possibilities to generate new methods and types of management practices.
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“Recent research on the role of strategy in digital trans formation comprises mainly conceptual and systematic reviews (Hanelt et al., 2020; Saleh and Awny, 2020; Kitsios and Kamariotou, 2021).”
From Mastering digital transformation: The nexus between leadership, agility, and digital strategy (2022) · cites this paper as Kitsios and Kamariotou, 2021
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1 retracted
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BackgroundInfluentialRetractedAnalyzing the Past to Prepare for the Future: Writing a Literature Review
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“AI is referred to as the ability of a machine to learn from experience, adjust to new inputs and implement human-like tasks [3].”
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“Authors Year AI and Machine Learning in Organizations Aligning AI Tools and IT with Business Strategy AI, Knowledge Management and Decision-Making Process AI, Service Innovation and Value Akhtar et al. [1] 2019 x Balog [2] 2020 x Duan et al. [3] 2019 x Lichtenthaler [4] 2020b x Božič and Dimovski [5] 2019 x Chen and…”
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Mikalef, P., Boura, M., Lekakos, G. D., & Krogstie, J. (2019) · Journal of Business Research · doi:10.1016/j.jbusres.2019.01.044 · Cited by 819 · cited 1×
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Background
Research works printed but not linked: 3
- Kitsios, F., Delimpasis, T., and Kamariotou, M. (2019, January 8–12). Digital Business Strategy: An Empirical Analysis of Mission statement content and Financial Performance. Proceedings of the 19th International Conference on Electronic Business, ICEB 2019, Newcastle upon Tyne, UK.
- Mitroulis, D., and Kitsios, F. (2019, January 19–20). Evaluating digital transformation strategies: A MCDA analysis of Greek tourism SMEs. Proceedings of the 14th European Conference on Innovation and Entrepreneurship (ECIE19), Kalamata, Greece.
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“Thus, entrepreneurs must choose and determine strategies that they can use to face competition (Kitsios & Kamariotou, 2021; Suoniemi et al., 2020; Teece, 2010).”
BackgroundA multiple case study of AI potential in small and medium sized companies (SME)
Waidringer, J., Giri, C., Beiker, S. A., & Wittsten, J. (2026) · AIP conference proceedings · doi:10.1063/5.0308483
AI-Powered Business Intelligence: Enterprise Strategic Transformation and Practical Paths
Li, X. (2025) · Proceedings of the 2nd International Conference on E-commerce and Modern Logistics · doi:10.5220/0013850200004719 · Cited by 1
“As AI technology matures, many leading digital companies have recognized the strategic value of AI tools and are actively promoting the deployment of AI tools to gain a competitive advantage (Kitsios and Kamariotou, 2021).”
Tsitsoula, S., Koumpoti, A., Saridi, M., & Anastasiadis, F. (2026) · Sustainability · doi:10.3390/su182110797
Silva, D. D. F., Matias, P. H. M., Espíndola, M., & Pereira, F. C. M. (2026) · Revista de Geopolítica · doi:10.56238/revgeov17n10-138
Britsyna, Y. (2026) · Actual problems of innovative economy and law · doi:10.36887/2524-0455-2026-4-8
Chaudhary, P., Kate, N., Jana, S. K., & Padhye, P. (2026) · Discover Artificial Intelligence · doi:10.1007/s44163-026-02250-8
“Any real or perceived infringement in this regard may lead to a trust deficit [13, 67].”
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Churampi, E. E., Barzola, V. A. E., Bazan-Rivera, J. R., Gonzales, J. N. S., & Aguilar-Guizado, J. K. (2026) · Multidisciplinary Reviews · doi:10.31893/multirev.2027145
Wahyuni, T., & Sadana, S. M. S. (2026) · AKADEMIK: Jurnal Mahasiswa Ekonomi & Bisnis · doi:10.37481/jmeb.v6i3.2167
“…digital dan employee engagement umumnya menggunakan pendekatan kuantitatif dengan fokus pada pengujian hubungan antarvariabel, seperti kepemimpinan, kepuasan kerja, komitmen organisasi, adopsi teknologi, dan kinerja karyawan (Kitsios & Kamariotou, 2021; Hizam et al., 2023; Simkhada, 2023).”
Mkhize, L. V. B., & Subban, M. (2026) · European Conference on Knowledge Management · doi:10.34190/eckm.27.1.5107
“AI technologies, including machine learning, analytics, and generative systems, enhance knowledge creation, storage, sharing, and application (Kitsios & Kamariotou, 2021; Thakuri et al., 2024).”
InfluentialThe Use of Artificial Intelligence in Knowledge Management and Corporate Decision-Making Processes
Kabus, J. (2026) · European Conference on Knowledge Management · doi:10.34190/eckm.27.1.5104
“AI-based systems are increasingly used to optimise business processes, automate repetitive tasks and enhance organisational efficiency (Kitsios & Kamariotou, 2021).”
Sudarmi, W., Purnomo, D., Sutrisno, S. B., Caniago, A., & Minggu, M. (2026) · JURNAL LENTERA BISNIS · doi:10.34127/jrlab.v15i2.2502
AI-CyberDoSpeRT: assessing managerial awareness of AI-driven cyber risks
Bogodistov, Y., Stafyeyeva, L., Steiner, C., & Despotovic, P. (2026) · Baltic Journal of Management · doi:10.1108/bjm-05-2025-0357
Zilia, F. (2026) · International Entrepreneurship and Management Journal · doi:10.1007/s11365-026-01244-3
“The strongest coupling centres on Secundo et al. ( 2025 ) and Chotia et al. ( 2024 ), supported by work such as Kitsios and Kamariotou ( 2021 ).”
Ruotsalainen, S., Hokkanen, P., Porras, J., & Kuivalainen, O. (2026) · Information Systems Management · doi:10.1080/10580530.2026.2716613
“The existing academic literature on deployment has been examined in several systematic literature reviews (Borges et al., 2021; Caner & Bhatti, 2020; Kitsios & Kamariotou, 2021; Ruotsalainen et al., 2024; Stone et al., 2020), but empirical research remains limited.”
Pratama, W., & Hamid, A. A. (2026) · Action Research Literate · doi:10.46799/arl.v10i7.3124
“Sejalan dengan hal ini, (Kitsios & Kamariotou, 2021) mengargumentasikan bahwa AI bukan sekadar alat teknologi, melainkan katalis strategis yang memerlukan keselarasan antara visi kepemimpinan, kapabilitas organisasi, dan ekosistem digital yang kondusif.”
Exploring AI governance for sustainable decision-making: evidence from six case studies
Almeida, F. (2026) · Journal of Ethics in Entrepreneurship and Technology · doi:10.1108/jeet-04-2026-0023
Kaya, H. (2026) · Karaelmas Science and Engineering Journal · doi:10.7212/karaelmasfen.1814635
Asyono, A. H., Samputra, P. L., & Djatmiko, H. (2026) · Shirkah Journal of Economics and Business · doi:10.22515/shirkah.v11i2.1002
“The primary source of data in this research was Scopus Database which was selected due to its broad coverage of reputable scientific journals (Kitsios & Kamariotou, 2021; Zhao et al., 2021).”
Salinas-Ávila, J., Restrepo, C. A. D., & Duque, P. (2026) · Revista CEA · doi:10.22430/24223182.3683
Wahyudi, R., & Prihandoko, D. (2026) · 2026 11th International Conference on Applying New Technology in Green Buildings (ATiGB) · doi:10.1109/atigb70203.2026.11628271
“AI-driven systems optimize resources, automate workflows, and reduce human error, strengthening productivity and cost effectiveness[30].”
Analysis of relationships of technology decision factors
Pekk, L., Kovács, Z., & Háry, A. (2026) · Scientia et Securitas · doi:10.1556/112.2026.00319
Afrizal, A., & Rosmaria, R. (2026) · Archipel Journal of Indonesian Interdisciplinary Studies · doi:10.65739/archipel.v1i10.67
“Transparency about AI model limitations, bias risks, and data provenance would significantly enhance the decision-relevance of AI disclosures, particularly for ESG-focused investors (Rana et al., 2021; Kitsios & Kamariotou, 2021).”
Morina, F., & Selmonaj, D. (2026) · Agora International Journal of Economical Sciences · doi:10.15837/aijes.v20i1.7635
“This supports the argument that AI in European industrial firms should be analyzed as part of a broader digital transformation system rather than as a stand-alone technological instrument (Guan et al., 2025; Hamedani et al., 2025; Zhang et al., 2025; Kitsios & Kamariotou, 2021).”
Yau, R. C. C., & Lasso, B. I. C. (2026) · Revista Dialogus · doi:10.37594/dialogus.v1i17.2098
Khatib, M. M. E., Aljaberi, F., & Alfalasi, A. (2026) · International Journal of Business Analytics and Security (IJBAS) · doi:10.54489/ijbas.v6i1.599
Saad, M. (2026) · Management · doi:10.58691/man/217949
“The results of this study are in line with many studies that have confirmed the positive impact of AI applications on DT (Kitsios & Kamariotou, 2021; Oyekunle & Boohene, 2024; Khoa, 2024; Djamin, 2024; Krupa et al., 2024; Lytras et al., 2024; Altin & Uysal, 2025).”
Sahu, S. (2026) · International Journal For Multidisciplinary Research · doi:10.36948/ijfmr.2026.v08i03.81160
Guechtouli, M., & Arulanandam, B. (2026) · Question(s) de management · doi:10.3917/qdm.239.0049
Pattanayak, B., Banerjee, R., Sharma, A., Sultana, J., Chatterjee, A., & Thiha, P. (2026) · ShodhKosh Journal of Visual and Performing Arts · doi:10.29121/shodhkosh.v7.i14s.2026.8569
Gumelar, S. F., Adrianto, E., & Rahmatika, A. H. (2026) · Jurnal Aplikasi Bisnis dan Manajemen · doi:10.17358/jabm.12.2.385
“This multi-method integration transforms MBA from a descriptive tool into a comprehensive strategic framework for contextualized, prioritized decision-making aligned with digital business transformation objectives (Kitsios & Kamariotou, 2021).”
GenAI-Supported strategy development in VUCA scenarios and Multi-GenAI evaluation
Yurdasever, E., & Yıldıran, C. (2026) · Management · doi:10.58691/man/221173
“However, knowledge regarding how each of these advanced tools affects the distinct VUCA challenges remains quite limited (Kitsios & Kamariotou, 2021).”
Gavande, P. A., & Kulkarni, M. V. (2026) · Journal of Asia Entrepreneurship and Sustainability · doi:10.66635/ed7mr214
Ramírez, A. F., Bradley, R., Flores, L. A., Carrillo, A. G., González-Escamilla, A., Ponce, P., Ramírez-Cedillo, E., & Anthony, B. W. (2026) · Production & Manufacturing Research · doi:10.1080/21693277.2026.2664909
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“For the AI-Empowered Strategic Planning System, DL plays a crucial role in goal guidance using neural networks to break down high-level business objectives into smaller actionable tasks [12].”
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Judijanto, L., & Yusita, H. (2026) · West Science Business and Management · doi:10.58812/wsbm.v4i01.2765
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Siringoringo, R., Aneira, T., & Ashifa, D. (2026) · Seriat Ekonomisi · doi:10.35335/7nh4m925
“Several previous studies have discussed AI adoption, consumer trust, and digital business transformation(Kitsios & Kamariotou, 2021).”
Srinivas, P., & Anupama, B. (2026) · International Journal of Economic Social Science and Management LAW · doi:10.64751/x4r8ft40
“…consumer behavior, identify the problems related to consumer dissatisfaction, understand the market dynamics, and external competitive environment; This equips the organisations with timely information by identifying the threats due to emerging trends in the market (Kitsios & Kamariotou, 2021).”
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Kobylko, A. (2026) · Russian Journal of Economics and Law · doi:10.21202/2782-2923.2026.1.27-47
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Mariani, N. W. R., Suardana, I. B. R., & Martini, I. A. O. (2026) · Sharia Economic and Management Business Journal (SEMBJ) · doi:10.62159/sembj.v7i1.1983
“Several studies emphasize that digital transformation can support more sustainable business practices by optimizing resource use, reducing waste, and increasing business process efficiency (Gomez-Trujillo & Gonzalez-Perez, 2022; Kitsios & Kamariotou, 2021; Teng et al., 2022).”
THE IMPACT OF ARTIFICIAL INTELLIGENCE ON CONTEMPORARY BUSINESS: A SCOPING REVIEW
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Lestari, N., Hasanah, & Siregar, N. (2025) · Jurnal Pendidikan Administrasi Perkantoran (JPAP) · doi:10.26740/jpap.v13n3.p692-702
“Whichh emphasize the need for comprehensive teacher training to support the effective use of AI in primary education (Di et al., 2020; Kitsios & Kamariotou, 2021) 4.”
Purwatik, P. (2025) · Proceeding of International Conference on The Law Development For Public Welfare · doi:10.30659/picldpw.v4i0.50173
Shakil, M. M., Halimuzzaman, M., Khan, A. U. Z., & Fardous, J. (2025) · Journal of Information Technology, Cybersecurity, and Artificial Intelligence · doi:10.70715/jitcai.2025.v2.i3.024
Azzahra, O. I., Mulyana, R., & Adi, T. (2025) · International Journal of Advances in Data and Information Systems · doi:10.59395/ijadis.v6i3.1419
“Artificial intelligence refers to the development of systems and technologies that can mimic human intelligence to perform tasks such as decision-making, pattern recognition, and problem-solving [24] .”
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“…strategy with executive management priorities and innovation performance, business intelligence-enterprise resource planning (BI-ERP) integration for real-time analytics, and information literacy practices that link environmental scanning to resilience against multiple obsolescence patterns [5].”
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Development of digital business models in the context of digital transformation conditions
Otola, I., Szczepańczyk, M., & Sztangret, I. (2025) · Integrated Spatial Databases · doi:10.62036/isd.2025.150
Musungwini, S., & Madanhi, S. (2025) · 2025 4th Zimbabwe Conference of Information and Communication Technologies (ZCICT) · doi:10.1109/zcict67553.2025.11502684
“These findings align with the work of [39], who argue that AI’s transformative potential is realised when technological, organisational, and environmental factors work together under a clear strategy.”
Kumar, P., & Dahiya, P. (2025) · 2025 2nd International Conference on Computational Intelligence and Computing Applications (ICCICA) · doi:10.1109/iccica67008.2025.11337492
“The results can lead to theoretical and managerial points of view, with high possibilities to create fresh techniques and kinds of management methods [15].”
Mtıouı, G. E. (2025) · Uluslararası Yönetim Akademisi Dergisi · doi:10.33712/mana.1436608
Generative AI: Policy Formulation and Analysis
Ahmad, S., Ahmad, R. A. T. R. L., Yunus, A. S. M., & Asuhaimi, F. A. (2025) · e-Jurnal Penyelidikan dan Inovasi · doi:10.53840/ejpi.v12i3.269
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Juanita, N., Aryani, N., Wulandari, E., & Salsabila, S. (2025) · Proceeding of International Conference on Science, Health, And Technology · doi:10.47701/yh8tct06
Sudirman, S., Ahmad, K., & Hood, Z. (2025) · International Conference on Information Management and Engineering (ICIME) · doi:10.1109/icime66598.2025.00026
“Reference [14] proposes integrating artificial intelligence (AI) with business strategy, viewing AI as a strategic driver that reshapes value creation and decision-making.”
Koloay, S. J., & Prihandoko, D. (2025) · International Conference on Communications and Information Technology · doi:10.1109/iccit65724.2025.11167462
“The application of AI-driven business and management concepts opens up opportunities for process optimization, organizational performance analysis, and better strategic decision-making [44].”
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Mishra, B. R., Keer, P. K., Dwivedi, P., Yadav, M., Ramakrishna, B. V., & Prakash, S. (2025) · Social Science Research Network · doi:10.2139/ssrn.5366703
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“Machine learning, with its capacity to decipher complex relationships, holds great promise for enabling accurate prediction and control of slurry temperature[14-21].”
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“They ensure that AI initiatives align with organizational goals and are implemented effectively to drive value creation and maintain a competitive advantage [84].”
Wang, L.-F., Chen, T., Wang, X.-P., & Cheng, M.-Z. (2025) · Proceedings of the 2025 International Conference on Digital Economy and Intelligent Computing · doi:10.1145/3746972.3747003
“The rapid development of AI is profoundly influencing corporate decision-making styles and business models, with many enterprises incorporating AI as a decision-making tool and business transformation direction into their strategies [ 1 ] .”
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Klarner, L., Řehoř, P., Vrchota, J., & Maříková, M. (2025) · Central European Business Review · doi:10.18267/j.cebr.394
Aji, W. J., Wardana, L., & Kusdiyanti, H. (2025) · Formosa Journal of Social Sciences (FJSS) · doi:10.55927/fjss.v4i1.84
“Advanced Proficiency isn't as it were approximately the capacity to utilize unused innovations, learn to utilize unused instruments, or indeed apply these apparatuses and innovations to the learning prepare (Kitsios & Kamariotou, 2021; Ukko et al., 2019).”
Bapat, B., Malik, K., Garg, M., Thirlangi, S. K., & Gopalsamy, M. (2025) · 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) · doi:10.1109/iatmsi64286.2025.10984842
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“The literature from this period emphasizes the technological promise of AI, while also acknowledging the need for integrating human judgment and ethical considerations into AI-driven business processes [16], [17].”
Pachigolla, Y. R. (2025) · 2025 First International Conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies (CE2CT) · doi:10.1109/ce2ct64011.2025.10939139
“Consistency in repeated operations is a challenge for most organisations, especially in industrial production processes [8, 9].”
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“As a significance, competitive and intellectual strategy required to be matched to utilize the new age AI more effectively for the development of innovative products as well as solutions (Kitsios & Kamariotou, 2021).”
Unlocking Innovation, Enabling Sustainability: A Policy Framework for System‐Wide Change
Ali, J. (2024) · Systems research and behavioral science · doi:10.1002/sres.3119
Doan, N., Vu, T. D., Hoang, L., & Vũ, H. T. T. (2024) · Proceedings “The 12th International Conference on Emerging Challenges: SUSTAINABLE STRATEGIES IN THE DATA-DRIVEN ECONOMY”. November 1st – 2 nd, 2024 Thanh Hoa, Vietnam · doi:10.15625/vap.2025.0073
“They are proactively adopting CSR strategies related to AI and view this as a competitive advantage (Kitsios, 2021).”
Friesecke, M., & Zurheiden, J. (2024) · HMD Praxis der Wirtschaftsinformatik · doi:10.1365/s40702-024-01113-z
Muktar, I., Ufua, D., & Okorie, U. (2024) · African Journal of Economics and Business Research · doi:10.4314/ajebr.v3i2.4
“These machines are able to acquire with experience and execute human-like tasks with accuracy and efficiency (Kitsios, & Kamariotou, 2021).”
BackgroundCurrent trends and future prospects in business management analysis integration
Portovaras, T., Kovalenko, N., Kaplina, A., Kyrychenko, N., & Zaloha, Z. (2024) · Multidisciplinary Reviews · doi:10.31893/multirev.2024spe005
“Kitsios and Kamariotou (2021) examine artificial intelligence's role in digital transformation business strategy.”
BackgroundStrategic Decision Making in the AI Age: Examining Neural Network Models in Business Management
Jamalpur, B., Sarkar, P., Krishna, M. H., Lourens, M., Lakshmi, K. S., & Singh, N. (2024) · 2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE) · doi:10.1109/ic3se62002.2024.10593321
“Organisations can evolve quickly thanks to adaptive features, which are the cornerstone of digital transformation and organisational change [17].”
BackgroundMonte Carlo Tree Search Algorithms for Strategic Planning in Humanoid Robotics
Gundla, P., Gummadi, A., Changala, R., Vuyyuru, V., Kumar, A. H., & KiranBala, B. (2024) · International Conference on Intelligent Cloud Computing · doi:10.1109/icc-robins60238.2024.10533937
“Kitsios et al. [14] proposed a business strategy and artificial intelligence in the context of digital transformation.”
BackgroundBindu, & Kaur, H. (2024) · International Conference on Computing for Sustainable Global Development · doi:10.23919/indiacom61295.2024.10499012 · Cited by 1
“Yet they must also deal with difficulties with organizational alteration, managing information, and tech execution, as well as ethical issues with fairness, openness, and obligation [6] II.”
BackgroundDIGITAL TRANSFORMATION IN THE SMALL TO MEDIUM INDUSTRIES (IKM) AUTOMOTIVE COMPONENTS IN INDONESIA
Rahman, F. R., Purwoko, B., & Zulkifli, Z. (2023) · International Journal of Social Science · doi:10.53625/ijss.v3i4.6994 · Cited by 1
Рopovych, О., Pustovit, O., & Chobal, L. (2023) · Investytsiyi praktyka ta dosvid · doi:10.32702/2306-6814.2023.14.127
“The application of AI allows for the optimization of supplier management processes by automating the ordering process, forecasting demand, and optimizing inventory [2].”
BackgroundMethodRoychowdhury, S., & Dey, K. S. (2026) · Journal of Convergence in Technology and Management: Global Nexus · doi:10.70965/jctmgn.vol.1.issue3.15
“Kitsios and Kamariotou (2021) also express this opinion, adding that the digital transformation should be in line with the organizational strategy in order to be effective.”
Ikart, E. M. (2026) · Journal of Engineering Management and Competitiveness · doi:10.5937/jemc2600004i
AI in Decision Making: Implications for Management Education
Reddy, T. R., & Pragnashree, M. (2026) · ITM Web of Conferences · doi:10.1051/itmconf/20268602003 · Cited by 1
Communications on Applied Nonlinear AnalysisPreprint
Astono, A. D., Nurhayati, N., Firdaus, F., & bin Abdullah, Z. (2025) · Social Science Research Network · doi:10.2139/ssrn.5184465
Weinert, A., Banaś, R., Wojtowicz, L., & Bartkowiak, P. (2025) · Optimum Economic Studies · doi:10.15290/oes.2025.03.121.09
“The research highlights the potential of AI in addressing complex business challenges, while also acknowledging the challenges associated with its prac‑ tical implementation [Kitsios, Kamariotou, 2021].”
TRANSFORMAÇÃO DIGITAL: PROPOSIÇÃO DE MODELO PARA GERAÇÃO DE VALOR
de Oliveira, B. X., Pereira, F. C. M., Maculan, B. C. M. D. S., & Barbosa, R. (2025) · Perspectivas em Ciência da Informação · doi:10.1590/1981-5344/57957
Nguyễn, N. V., Tran, H. T. M., & Duc, L. D. M. (2025) · Journal of Digital Business and Management Studies · doi:10.68159/u900694381
Hong, D. M., Khanh, T. H. T., & Hoang, T. X. (2024) · International Journal of Management Studies and Social Science Research · doi:10.56293/ijmsssr.2024.4807
The role of artificial intelligence in sales and marketing
Pashtranjaku, K., Mansi, E., & Köroğlu, O. (2024) · International Journal of Economic Practice and Policy · doi:10.5937/skolbiz2-52011
Design of digital enterprise through artificial intelligence
Gnanasekar, A. K., Rao, N. K. K., Chidambarathanu, K., Yadav, A. S., Kumar, T. R., & Kumar, A. (2023) · AIP conference proceedings · doi:10.1063/5.0164137
Okafor, C., & Bello, A. (2023) · Journal of Digital Business and Management Studies · doi:10.68159/b904061065
Hernández, M., & Vega, C. (2021) · Journal of Digital Business and Management Studies · doi:10.68159/d276212724
A Strategic AI Procedure Model For Implementing Artificial Intelligence
Walter, T., Bremer, M., Kaminski, L., & Stich, V. (2021) · Publication Server of FIR e. V. an der RWTH Aachen · doi:10.15488/11260
“A holistic approach for AI implementation, based on an AI strategy, tackles many of the obstacles mentioned earlier and thus enhances the chance of successful value generation [9,11,12,2,13,7,14].”
Lagos, C. O. (2026) · Digital Commons - DU (University of Denver) · doi:10.56902/etdcrp.2026.114
Metadata
- Authors
- Kitsios, F., & Kamariotou, M.
- Affiliations
- University of Macedonia (GR)
- Corresponding author
- Kamariotou, Maria
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2021-02-13
- Volume
- 13
- Issue
- 4
- Pages
- 2025
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W3130265534
- Cited by
- 360
- References
- 99
- Citations by year
- 2026: 62 · 2025: 98 · 2024: 91 · 2023: 68 · 2022: 28 · 2021: 13
- FWCI
- 17.68
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sustainability (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (acceptedVersion)
- Funders
- Hellenic Foundation for Research and Innovation (188)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Technology Governance and Strategy
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
- Keywords
- artificial intelligence, business strategy, digital transformation, machine learning, value creation, IT strategy alignment, knowledge management, decision-making, service innovation, AI implementation challenges
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