Abstract :
The aim of this work was to determine the actions needed to adopt and adapt Generative Artificial Intelligence (GenAI) for efficient and responsible use in the organization, without affecting the contribution of the collaborator to his/her work activities. A bibliographic review of the scientific literature and information published by consulting companies on the current development of research related to GenAI and its impact on organizations was carried out. Artificial intelligence search tools, academic search engines were used, and criteria for the inclusion and exclusion of publications were established. As a result, necessary actions were identified for the adoption, adaptation, efficient and responsible use, and interaction of GenAI with employees in their work environment. These actions include the adjustment of processes, infrastructure, and resources; capacity-building for integration and a culture of innovation, protocol development, staff training, creation of flexible and supportive working environments, collaboration with regulators, transformation of work; and alignment of staff management practices. It was concluded that GenAI is having a major impact on organizations by automating processes and increasing productivity and efficiency. It is essential to address actions in three categories: staff training, fostering a culture of innovation, ethics, and accountability in the use of this technology, and its efficient adoption and adaptation without affecting the contribution of employees. This research helps to identify the elements needed to deepen research development and define, in real contexts, the effectiveness of the adoption and efficient adaptation of GenAI in internal processes and interaction with collaborators, with the aim of promoting best practices that generate value through its use.
Keywords :
Generative artificial intelligence, human-machine collaboration., labor efficiency, organizational adaptation, technological adoptionReferences :
- Pavlik, «Collaborating with ChatGPT: considering the implications of generative artificial intelligence for journalism and media education,» Journalism & Mass Communication Educator, vol. 78, nº 1, pp. 84-93, 2023.
- Korzynski, G. Mazurek, A. Altmann, J. Ejdys, R. Kazlauskaite, J. Paliszkiewicz, K. Wach and E. Ziemba, «Generative artificial intelligence as a new context for management theories: analysis of ChatGPT,» Central European Management Journal, vol. 31, nº 1, pp. 3-13, 2023.
- Al-Mekhlal, M. Al-Buraik and M. Al-Lubli, «Digital transformation: AI-Powered bot solutions and automation for customer services,» of 2023 International Conference on Digital Applications, Transformation & Economy (ICDATE), Miri, Sarawak, Malaysia, 2023.
- Khan and M. Iqbal, «AI-Powered customer service: Does it optimize customer experience?,» of 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), Noida, India, 2020.
- Rymarczyk, «Technologies, Opportunities and Challenges of the Industrial Revolution 4.0: Theoretical Considerations,» Entrepreneurial Business and Economics Review, vol. 8, nº 1, pp. 185-198, 2020.
- Dinmohammadi, «Adopting Artificial Intelligence in Industry 4.0: Understanding the Drivers, Barriers and Technology Trends,» of 28th International Conference on Automation and Computing (ICAC), Birmingham, United Kingdom, 2023.
- Hadzovic, S. Mrdovic and M. Radonjic, «A Path Towards an Internet of Things and Artificial Intelligence Regulatory Framework,» IEEE Communications Magazine, vol. 61, nº 7, pp. 90-96, 2023.
- S. Varsha, «How can we manage biases in artificial intelligence systems – A systematic literature review,» International Journal of Information Management Data Insights, vol. 3, nº 1, pp. 1-9, 2023.
- H. Huang and R. T. Rust, «A strategic framework for artificial intelligence in marketing,» Journal of the Academy of Marketing Science, vol. 49, pp. 30-50, 2021.
- Wach, C. D. Duong, J. Ejdys, R. Kazlauskaitė, P. Korzynski, G. Mazurek, J. Paliszkiewicz and E. Ziemba, «The dark side of generative artificial intelligence: A critical analysis of controversies and risks of ChatGPT,» Entrepreneurial Business And Economics Review, vol. 11, nº 2, pp. 7-30, 2023.
- Martinez, L. Watson, P. Reviriego, J. A. Hernandez, M. Juarez and R. Sarkar, «Combining Generative Artificial Intelligence (AI) and the internet: Heading towards evolution or degradation?,» arXiv, pp. 1-9, 2023.
- Russo, «Navigating the complexity of generative AI adoption in software engineering,» ACM Transactions on Software Engineering and Methodology, vol. 37, nº 4, pp. 1-49, 2024.
- B. Uppin and J. Madalgi, «Introduction to generative AI and its application in education,» International Journal for Research in Applied Science and Engineering Technology, vol. 12, nº 1, pp. 861-866, 2024.
- Kanbach, L. Helduk, G. Blueher, M. Schreiter and A. Lahmann, «The GenAI is out of the bottle: generative artificial intelligence from a business model innovation perspective,» Review of Managerial Science, vol. 17, nº 6, pp. 1-32, 2023.
- Durth, B. Hancock, D. Maor and A. Sukharevsky, «McKinsey & Company,» September 19, 2023. [On line]. [Last access: february 27, 2024].
- Hangl, S. Krause and V. J. Behrens, «Drivers, barriers and social considerations for AI adoption in SCM,» Technology in Society, vol. 74, p. 102299, 2023.
- Wang, N. Cooper, M. Eby and E. S. Jo, «From human-centered to social-centered artificial intelligence: Assessing ChatGPT’s impact through disruptive events,» arXiv:2306.0027, pp. 1-23, 2023.
- Gupta and H. Yang, «Generative artificial intelligence (AI) technology adoption model for entrepreneurs: Case of ChatGPT,» Internet Reference Services Quarterly, 2024.
- Kenthapadi, H. Lakkaraju and N. Rajani, «Generative AI meets responsible AI: Practical challenges and opportunities,» de KDD ’23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Long Beach, California, USA, 2023.
- M. Gutierrez, «Generative artificial intelligence: breakthrough and challenges,» Revista Enfoques, vol. 4, nº 2, pp. 57-82, 2023.
- Costa, J. A. Monaco and A. Covello, «Challenges of Generative Artificial Intelligence. Three scales and two transv,» Question, vol. 3, nº 76, pp. 1-24, 2023.
- Vogel, G. Strina, C. Said and T. Schmallenbach, «The evolution of artificial intelligence adoption in industry,» Artificial Intelligence and Social Computing, vol. 72, pp. 139-150, 2023.
- Oldemeyer, A. Jede and F. Teuteberg, «Investigation of artificial intelligence in SMEs: a systematic review of the state of the art and the main implementation challenges,» Management Review Quarterly, vol. 74, nº 1, pp. 1-43, 2024.
- G. Bouschery, V. Blazevic and F. T. Piller, «Augmenting human innovation teams with artificial intelligence: Exploring transformer-based language models,» Journal of Product Innovation Management, vol. 40, nº 2, pp. 139-153, 2023.
- H. Chen, «Exploring the indirect effects of innovation policy and innovation culture on business model innovation: a moderated mediation analysis,» International Journal of Innovation Science, vol. 15, 2023.
- Okanga, «Innovation Culture as a driver of a firm’s innovation excellence: Evidence from Apple and Huawei,» Future of Business Administration, vol. 2, nº 2, pp. 26-53, 2023.
- Tidd and J. R. Bessant, Managing innovation: Integrating technological, market and organizational change, London: Wiley, 2020.
- Rossman and J. Euchner, «Innovation the Amazon way,» Research-Technology Management, vol. 61, nº 1, pp. 13-22, 2018.
- Kanitz, K. Gonzalez, R. Briker and T. Straatmann, «Augmenting organizational change and strategy activities: Leveraging generative artificial intelligence,» The Journal of Applied Behavioral Science, vol. 59, nº 3, pp. 345-363, 2023.
- Zohuri, «Charting the future. The synergy of generative AI, quantum computing, and the transformative impact on economy,» Current Trends in Engineering Science, vol. 3, nº 7, pp. 1-4, 2023.
- Atluri, P. Dahlström, B. Gaffey, V. Garcia, N. Kaka, T. Lajous, A. Singla, A. Sukharevsky, A. Travasoni and B. Vieira, «Beyond the hype: Capturing the potential of AI and gen AI in TMT,» McKinsey, London, 2024.
- Hu, «Artificial intelligence and human workers interaction,» Highlights in Science, Engineering and Technology, nº 44, pp. 90-95, 2023.
- Morandini, F. Fraboni, M. De Angelis, G. Puzzo, D. Giusino and L. Pietrantoni, «The impact of artificial intelligence on workers’ skills: Upskilling and reskilling in organisations,» Informing Science: The International Journal of Emerging Transdiscipline, vol. 26, pp. 39-68, 2023.
- H. Jarrahi, S. Kenyon, A. Brown, C. Donahue and C. Wicher, “Artificial intelligence: A strategy to harness its power through organizational learning,” Journal of Business Strategy, vol. 44, no. 3, pp. 1-13, 2023.
- Eskandar, S. S. Hosny, S. Abdelmohsen and H. Hamza, «Utilizing artificial intelligence techniques in complex form generation,» Engineering Research Journal (Shoubra), vol. 53, nº 1, pp. 34-39, 2024.
- Hui, «Oral materialization and ethical governance of science and technology in artificial intelligence,» Lecture Notes in Education Psychology and Public Media, vol. 33, pp. 107-114, 2024.
- Raparthi, M. S. Zahoor, A. Fawad, S. Balasubramanian, S. Maruthi and S. Babu, «Investigating the creation of AI-Driven solutions for risk assessment, continuous improvement, and supplier performance monitoring,» Dandao Xuebao/Journal of Ballistics, vol. 36, nº 1, pp. 1-11, 2024.
- Bankins, A. C. Ocampo, M. Marrone, S. L. Restubog and S. E. Woo, «A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice,» Journal of Organizational Behavior, vol. 45, nº 2, pp. 159-182, 2024.
- Wulf and J. Meierhofer, «Towards a taxonomy of Large Language Model based business model transformations,» arXiv, p. 2311.05288, 2023.
- Peña-Fernández, K. Meso-Ayerdi, A. Larrondo-Ureta and J. Díaz-Noci, «Without journalists, there is no journalism: the social dimension of generative artificial intelligence in the media,» Profesional de la información, vol. 32, nº 2, pp. 1-16, 2023.
- Singh and J. Pandey, «Artificial intelligence adoption in extended HR ecosystems: enablers and barriers. An abductive case research,» Frontiers in Psychology, vol. 14, pp. 1-13, 2024.
- Suseno, C. Chang, M. Hudik and E. S. Fang, «Beliefs, anxiety and change readiness for artificial intelligence adoption among human resource managers: The moderating role of high-performance work systems,» The International Journal of Human Resource Management, vol. 33, nº 6, pp. 1209-1236, 2021.
- M. Gregory and S. K. Gupta, «Opportunities for Generative Artificial Intelligence to accelerate deployment of human-supervised autonomous robots,» Proceedings of the 2023 AAAI Fall Symposia, vol. 2, nº 1, pp. 177-181, 2024.
- Taniguchi and K. Yamada, «ICT Capital-Skill Complementarity and Wage Inequality: Evidence from OECD Countries,» Labour Economics, vol. 76, nº 102151, 2022.
- Verma and V. Singh, «Impact of artificial intelligence-enabled job characteristics and perceived substitution crisis on innovative work behavior of employees from high-tech firms,» Computers in Human Behavior, vol. 131, nº 107215, 2022.
- Al Mubarak, «Sustainably developing in a digital world: harnessing artificial intelligence to meet the imperatives of work-based learning in Industry 5.0,» Development and Learning in Organizations, vol. 37, nº 3, pp. 18-20, 2023.
- Daco, «The impact of GenAI on the labor market,» EY-Parthenon, United States, 2024.
- Brynjolfsson, D. Li and L. R. Raymond, «Generative AI at work,» NBER Working Papers Series, nº 31161, pp. 1-67, 2023.
- Lilly, R. Rajkumar y R. Amudha, «Aggrandizing the human resource development with underpinning artificial intelligence,» Journal of Statistics and Management Systems, vol. 25, nº 5, pp. 1083-1094, 2022.
- Lamarre, A. Singla, A. Sukharevsky y R. Zemmel, «The generative AI payoff may only come when companies do deeper organizational surgery on their business,» Mckinsey & Company, United States, 2024.