Exploring value creation of generative artificial intelligence in organizations : a systematic review
Generative Artificial Intelligence (GAI) has great potential to add value in organizations by improving creative processes and operational efficiency. Despite the relevance of these topics, the literature that examines digital transformation from the point of view of GAI is scarce. Consequently, the...
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Elsevier
2025
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| Acceso en línea: | https://repositoriodigital.uns.edu.ar/handle/123456789/7353 |
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I20-R126-123456789-73532025-11-26T21:39:14Z Exploring value creation of generative artificial intelligence in organizations : a systematic review Sánchez, Marisa Analía Generative artificial intelligence Socio-technical systems theory Technology Digital transformation Inteligencia artificial generativa Tecnología Transformación digital Teoría de los sistemas sociotécnicos Generative Artificial Intelligence (GAI) has great potential to add value in organizations by improving creative processes and operational efficiency. Despite the relevance of these topics, the literature that examines digital transformation from the point of view of GAI is scarce. Consequently, the research question "how to effectively integrate GAI into an organization" is posed, and the general objective of this research is to review the literature that explains the resources, capabilities and strategies to respond to the opportunities that emerge from GAI. A socio-technical systems perspective was adopted to structure the review covering internal and external organizational elements. Key findings are consistent with the premise that cross-dimensional alignment—people, goals, processes, culture, technology, infrastructure, stakeholders and regulation—is essential to capture GAI’s benefits. Organizations that privilege the technical subsystem (e.g., rapid deployment of large language models) without investing in social subsystems (e.g., leadership, employee training, stakeholder dialogue) risk effective value creation. Despite increasing recognition of productivity gains, financial impacts such as return on investment and total cost of ownership remain underexplored. The review identifies research needs on step-by-step integration strategies, financial risk assessment, and context-sensitive guidance for small and medium-sized enterprises. La inteligencia artificial generativa (IAG) tiene un gran potencial para añadir valor a las organizaciones mediante la mejora de los procesos creativos y la eficiencia operativa. A pesar de la relevancia de estos temas, la bibliografía que examina la transformación digital desde el punto de vista de la IAG es escasa. En consecuencia, se plantea la pregunta de investigación «cómo integrar eficazmente la IAG en una organización», y el objetivo general de esta investigación es revisar la bibliografía que explica los recursos, las capacidades y las estrategias para responder a las oportunidades que surgen de la IAG. Se adoptó una perspectiva de sistemas sociotécnicos para estructurar la revisión, que abarca elementos organizacionales internos y externos. Las conclusiones principales son coherentes con la premisa de que la alineación entre dimensiones —personas, objetivos, procesos, cultura, tecnología, infraestructura, partes interesadas y regulación— es esencial para aprovechar las ventajas de la IAG. Las organizaciones que privilegian el subsistema técnico (por ejemplo, el despliegue rápido de grandes modelos lingüísticos) sin invertir en los subsistemas sociales (por ejemplo, el liderazgo, la formación de los empleados, el diálogo con las partes interesadas) ponen en riesgo la creación de valor efectiva. A pesar del creciente reconocimiento de las ganancias de productividad, los impactos financieros, como el retorno de la inversión y el coste total de propiedad, siguen sin explorarse suficientemente. La revisión identifica las necesidades de investigación sobre estrategias de integración paso a paso, evaluación de riesgos financieros y orientación sensible al contexto para las pequeñas y medianas empresas. 2025-11-25T16:25:27Z 2025-11-25T16:25:27Z 2025-12 https://repositoriodigital.uns.edu.ar/handle/123456789/7353 eng application/pdf application/pdf Elsevier |
| institution |
Universidad Nacional del Sur |
| institution_str |
I-20 |
| repository_str |
R-126 |
| collection |
Repositorio Institucional Universidad Nacional del Sur (UNS) |
| language |
Inglés |
| topic |
Generative artificial intelligence Socio-technical systems theory Technology Digital transformation Inteligencia artificial generativa Tecnología Transformación digital Teoría de los sistemas sociotécnicos |
| spellingShingle |
Generative artificial intelligence Socio-technical systems theory Technology Digital transformation Inteligencia artificial generativa Tecnología Transformación digital Teoría de los sistemas sociotécnicos Sánchez, Marisa Analía Exploring value creation of generative artificial intelligence in organizations : a systematic review |
| topic_facet |
Generative artificial intelligence Socio-technical systems theory Technology Digital transformation Inteligencia artificial generativa Tecnología Transformación digital Teoría de los sistemas sociotécnicos |
| description |
Generative Artificial Intelligence (GAI) has great potential to add value in organizations by improving creative processes and operational efficiency. Despite the relevance of these topics, the literature that examines digital transformation from the point of view of GAI is scarce. Consequently, the research question "how to effectively integrate GAI into an organization" is posed, and the general objective of this research is to review the literature that explains the resources, capabilities and strategies to respond to the opportunities that emerge from GAI. A socio-technical systems perspective was adopted to structure the review covering internal and external organizational elements. Key findings are consistent with the premise that cross-dimensional alignment—people, goals, processes, culture, technology, infrastructure, stakeholders and regulation—is essential to capture GAI’s benefits. Organizations that privilege the technical subsystem (e.g., rapid deployment of large language models) without investing in social subsystems (e.g., leadership, employee training, stakeholder dialogue) risk effective value creation. Despite increasing recognition of productivity gains, financial impacts such as return on investment and total cost of ownership remain underexplored. The review identifies research needs on step-by-step integration strategies, financial risk assessment, and context-sensitive guidance for small and medium-sized enterprises. |
| author |
Sánchez, Marisa Analía |
| author_facet |
Sánchez, Marisa Analía |
| author_sort |
Sánchez, Marisa Analía |
| title |
Exploring value creation of generative artificial intelligence in organizations : a systematic review |
| title_short |
Exploring value creation of generative artificial intelligence in organizations : a systematic review |
| title_full |
Exploring value creation of generative artificial intelligence in organizations : a systematic review |
| title_fullStr |
Exploring value creation of generative artificial intelligence in organizations : a systematic review |
| title_full_unstemmed |
Exploring value creation of generative artificial intelligence in organizations : a systematic review |
| title_sort |
exploring value creation of generative artificial intelligence in organizations : a systematic review |
| publisher |
Elsevier |
| publishDate |
2025 |
| url |
https://repositoriodigital.uns.edu.ar/handle/123456789/7353 |
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AT sanchezmarisaanalia exploringvaluecreationofgenerativeartificialintelligenceinorganizationsasystematicreview |
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