Unleashing the Potential of AI: Investigating Cutting-Edge Technologies That Are Transforming Businesses
Keywords:Artificial Intelligence, Business Strategy, Management, Information Technology, Machine Learning
The integration of AI has ushered in a new era of enhanced reliability in digital offerings, optimization of supply chain processes, and real-time access to invaluable data and analytics. Companies stand to benefit significantly as they employ AI to reduce lead times, uncover fresh customer insights, revolutionize customer service standards, and deliver unparalleled personalized experiences. This paper strives for excellence in its quest to bridge the knowledge gap and facilitate the successful assimilation of AI into business planning. By conducting a rigorous literature analysis and synthesizing contemporary methodologies and frameworks, it brings to the fore the potential advantages, challenges, and untapped possibilities. Moreover, this study delves into future research prospects, empowering businesses with the requisite knowledge and strategies to harness the full potential of AI and achieve unparalleled success in the dynamic and competitive world of business.
Johannes Schneider, Rene Abraham, Christian Meske & Jan Vom Brocke(2023) Artificial Intelligence Governance For Businesses, Information Systems Management,40:3, 229-249, DOI: 10.1080/10580530.2022.2085825
Harikumar Pallathadka, et al. (2023)Applications of artificial intelligence in business management, e-commerce, and finance, Materials Today: Proceedings, Volume 80, Part 3, 2023, Pages 2610-2613, ISSN 2214-7853, https://doi.org/10.1016/j.matpr.2021.06.419.
Kumar, S., Lim, W.M., Sivarajah, U. et al. Artificial Intelligence and Blockchain Integration in Business: Trends from a Bibliometric-Content Analysis. Inf Syst Front 25, 871–896 (2023). https://doi.org/10.1007/s10796-022-10279-0
M. H. Lee et al., “How to Respond to the Fourth Industrial Revolution or the second information technology revolution? Dynamic new combinations between technology, market, and society through open innovation,” J. Open Innov. Technol. Mark. Complex., vol. 4, no. 3, 2018, doi 10.3390/joitmc4030021.
L. Golightly, V. Chang, Q. A. Xu, X. Gao, and B. S. C. Liu, “Adoption of cloud computing as innovation in the organization,” Int. J. Eng. Bus. Manag., vol. 14, pp. 1-17, 2022, doi:10.1177/18479790221093992.
V. Macagno, “Artificial Intelligence as the upcoming Revolution in Military Affairs The Cases of the United States and China through the lens of Strategic Culture,” 2022.
Allioui, H., Allioui, A. (2022). The Financial Sphere in the Era of Covid-19: Trends and Perspectives of Artificial Intelligence. In: Mansour, N., M. Bujosa Vadell, L. (eds) Finance, Law, and the Crisis of COVID-19. Contributions to Management Science. Springer, Cham. https://doi.org/10.1007/978-3-030-89416-0_3
Allioui, A., & Allioui, H. (2022a). L'entreprise familiale de demain : Une entité traditionnelle au coeur des avancées de l'intelligence artificielle. Editions L'Harmattan.
ITU, “Assessing the Economic Impact of Artificial Intelligence,” ITU Trends, vol. 3, no. 1, pp.5170-5179, 2018, [Online]. Available: https://www.itu.int/dms_pub/itu-s/opb/gen/S-GENISSUEPAPER-2018-1-PDF-E.pdf.
Santiago, “Technologies new future Thank you for your interest in,” 2021.
M. H. Jarrahi, “Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making,” Bus. Horiz., vol. 61, no. 4, pp. 577-586, 2018, doi:10.1016/j.bushor.2018.03.007.
N. Soni, E. K. Sharma, N. Singh, and A. Kapoor, “Impact of Artificial Intelligence on Businesses: from Research, Innovation, Market Deployment to Future Shifts in Business Models,” pp. 1-38, 2019, [Online]. Available: http://arxiv.org/abs/1905.02092.
S. C. Park, “The Fourth Industrial Revolution and Implications for innovative cluster policies,” AI Soc., vol. 33, no. 3, pp. 433-445, 2018, doi: 10.1007/s00146-017-0777-5.
A. Behl, M. Chavan, K. Jain, I. Sharma, V. E. Pereira, and J. Z. Zhang, “The role of organizational culture and voluntariness in the adoption of artificial intelligence for disaster relief operations,” Int. J. Manpow., vol. 43, no. 2, pp. 569-586, 2022, doi 10.1108/IJM-03-2021-0178.
P. Mikalef and M. Gupta, “Artificial intelligence capability: Conceptualisation, measurement calibration, and empirical study on its impact on organizational creativity and firm performance,” Inf. Manag., vol. 58, no. 3, p. 103434, 2021, doi: 10.1016/j.im.2021.103434.
J. Jöhnk, M. Weißert, and K. Wyrtki, “Ready or Not, AI Comes— An Interview Study of Organizational AI Readiness Factors,” Bus. Inf. Syst. Eng., vol. 63, no. 1, pp. 5-20, 2021, doi:10.1007/s12599-020-00676-7.
A. Razzaque, “Artificial Intelligence and IT Governance: A Literature Review,” Stud. Comput.Intell., vol. 974, no. August, pp. 85-97, 2021, doi 10.1007/978-3-030-73057-4_7.
B. Y. E. Brynjolfsson and A. McAfee, “Artificial intelligence for real,” Harv. Bus. Rev., vol. July, no. 1, pp. 1-31, 2017.
I. Y. Song and Y. Zhu, “Big data and data science: what should we teach?,” Expert Syst., vol.33, no. 4, pp. 364-373, 2016, doi: 10.1111/exsy.12130.
S. AlSheibani, Y. Cheung, and C. Messom, “Re-thinking the competitive landscape of artificial intelligence,” Proc. Annu. Hawaii Int. Conf. Syst. Sci., vol. 2020-Janua, pp. 5861-5870, 2020, doi: 10.24251/hicss.2020.718.
Collins, D. Dennehy, K. Conboy, and P. Mikalef, “Artificial intelligence in information systems research: A systematic literature review and research agenda,” Int. J. Inf. Manage., vol. 60, no. July, p. 102383, 2021, doi 10.1016/j.ijinfomgt.2021.102383. Available online at: https://ijcnis.org 227 Review of Using Technologies of Artificial Intelligence in Companies
E. Brynjolfsson and A. Mcafee, "How AI Fits into Your Science Team: What it can and cannot do for your organization," Harv. Bus. Rev., pp. 1-20, 2017, [Online]. Available:https://hbr.org/cover-story/2017/07/the-business-of-artificial-intelligence.
R. Gonzalez, Artificial Intelligence in Cybersecurity, vol. 1, no. 1. 2022.
A. Bhalla, B. Chakravorti, and R. Shankar Chaturvedi, “Which Countries Are Leading the Data Economy? ” Harvard Business School Cases. p. 1, 2019, [Online]. Available:http://www.redibw.de/db/ebsco.php/search.ebscohost.com/login.aspx%3Fdirect%3Dtrue%26db%3Dbuh%26AN%3D134290701%26site%3Dbsi-live%0Ahttp://hbr.org/product/a/an/H04R3C-PDF-ENG.CIPD, “People and machines: from hype to reality in partnership with,” London Chart. Inst. Pers. Dev., no. April 2019.
S. Ransbotham, P. Gerbert, M. Reeves, D. Kiron, and M. Spira, “Artificial intelligence in business gets real: Pioneering companies aim for AI at scale,” MIT Sloan Manag. Rev., no.60280, 2018, [Online]. Available: https://sloanreview.mit.edu/projects/artificial-intelligencein-business-gets-real/.
I. Jurisica, J. Mylopoulos, and E. Yu, “Using ontologies for knowledge management: An information systems perspective,” Proc. ASIS Annu. Meet., vol. 36, no. March, pp. 482-496,1999, doi: 10.1007/s10115-003-0135-4.
B. Abdelkader and B. Abed, “ The Effect of Information Technology On Competitive Advantage of Firm,” 2016.
A. McWilliams and D. S. Siegel, “Creating and capturing value: Strategic corporate social responsibility, resource-based theory, and sustainable competitive advantage,” J. Manage., vol. 37, no. 5, pp. 1480-1495, 2011, doi: 10.1177/0149206310385696.
S. Andrén, E. Lindström, A. Hugosson, S. Rönnqvist, R. Lagerström, and S. Hacks, “ Assessing alignment between business and IT strategy: A case study,” CEUR Workshop Proc., vol. 2793, pp. 1-12, 2020.
F. Loeser, K. Erek, N. H. Schmidt, R. Zarnekow, and L. M. Kolbe, “Aligning Green IT with environmental strategies: Development of a conceptual framework that leverages sustainability and firm competitiveness,” 17th Am. Conf. Inf. Syst. 2011, AMCIS 2011, vol. 3, no. August 2011, pp. 1991-1999, 2011.
C. J. A. M. Termeer, A. Dewulf, and G. R. Biesbroek, “Transformational change: governance interventions for climate change adaptation from a continuous change perspective, ” J.Environ. Plan. Manag., vol. 60, no. 4, pp. 558-576, 2017, doi:10.1080/09640568.2016.1168288.
A. Collection, “MANAGE,” no. August 2018.
M. Menz et al., “Corporate Strategy and the Theory of the Firm in the Digital Age,” no. November 2021, doi 10.1111/joms.12760.
D. Jelonek, N. H. Tien, M. Thi, H. Dao, and D. T. Minh, “Comparative analysis of the business strategy of Vietnamese real estate developers: The use of Hoffer matrix Comparative analysis of the business strategy of Vietnamese real estate developers: The use of Hoffer matrix Page No:197-204,” no. October 2022.
M. Reza, S. Farzad, and M. Sobhani, “Information technology and e-business marketing strategy,” Inf. Technol. Manag., vol. 19, no. 3, pp. 185-196, 2018, doi: 10.1007/s10799-018-0289-0.
A. F. S. Borges, F. J. B. Laurindo, M. M. Spínola, R. F. Gonçalves, and C. A. Mattos, “The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions,” Int. J. Inf. Manage., vol. 57, no. December 2019, p. 102225, 2021, doi:10.1016/j.ijinfomgt.2020.102225.
S. D. Dmytriyev, R. E. Freeman, and J. Hörisch, “The Relationship between Stakeholder Theory and Corporate Social Responsibility: Differences, Similarities, and Implications for Social Issues in Management,” no. September 2021, doi 10.1111/joms.12684. Available online at: https://ijcnis.org 228 International Journal of Communication Networks and Information Security
A. Hanelt, R. Bohnsack, and D. Marz, “A Systematic Review of the Literature on Digital Transformation: Insights and Implications for Strategy and Organizational Change,” no. July 2021, doi 10.1111/joms.12639.
J. Tapera, “The Importance of Strategic Management to Business Organizations,” no. 2005, pp. 122-131, 2014.
C. Kahre, D. Hoffmann, and F. Ahlemann, “Beyond Business-IT Alignment - Digital Business Strategies as a Paradigmatic Shift: A Review and Research Agenda,” pp. 4706-4715, 2017.
D. Vrontis et al., “The International Journal of Human Resource Artificial intelligence, robotics, advanced technologies, and human resource management: a systematic review,” Int.
J. Hum. Resour. Manag., vol. 0, no. 0, pp. 1-30, 2021, doi 10.1080/09585192.2020.1871398.
S. Mohapatra, “Critical review of literature and development of a framework for the application of artificial intelligence in business Critical review of literature and development of a framework for the application of artificial intelligence in business Sanjay Mohapatra,” no. November, 2019, doi: 10.1504/IJENM.2019.100546.
D. Lee and S. N. Yoon, “Application of Artificial Intelligence-Based Technologies in the Healthcare Industry: Opportunities and Challenges,” 2021.
F. H. Shavaki and A. E. Ghahnavieh, Applications of deep learning into supply chain management: a systematic literature review and a framework for future research, no.0123456789. Springer Netherlands, 2022.
S. Mishra and A. R. Tripathi, “AI business model: an integrative business approach,” vol.5, 2021.
S. Yang, “A systematic literature review on the disruptions of artificial intelligence within the business world: in terms of the evolution of competencies,” no. June, pp. 0-39, 2022.
T. Eprs and E. Parliamentary, The ethics of artificial intelligence: Issues and initiatives, no.March.
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