Optimización empresarial mediante inteligencia artificial: estrategias de manejo y planificación para el éxito emprendedor

David Gortaire-Díaz; Gabriela Almache Granda; Elma Ramírez Romero; Julio Mora Aristega

doi:10.48204/synergia.v4n2.6200

Submitted October 31, 2024

Published 2024-11-01

Artículos

Vol. 3 No. 2 (2024): Synergía

Business optimization through artificial intelligence: strategies for management and planning in entrepreneurship

David Gortaire-Díaz⁺⁻
Gabriela Almache Granda⁺⁻
Elma Ramírez Romero⁺⁻
Julio Mora Aristega⁺⁻

DOI https://doi.org/10.48204/synergia.v4n2.6200

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DOI: 10.48204/synergia.v4n2.6200

Published: 2024-11-01

How to Cite

Gortaire-Díaz, D., Almache Granda, G., Ramírez Romero, E., & Mora Aristega, J. (2024). Business optimization through artificial intelligence: strategies for management and planning in entrepreneurship. Synergía, 3(2), 215–235. https://doi.org/10.48204/synergia.v4n2.6200

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Abstract

This study delves into the integration of artificial intelligence (AI) tools within the strategic planning endeavors of small-scale entrepreneurs. Specifically, it examines the practical application of Chat GPT and GEMINI platforms in generating comprehensive business strategies for nascent ventures. The research unfolds through a comparative analysis of the strategies conceived by these AI tools, encompassing three distinct areas of emphasis - strategic planning, personalized content generation, and internal process optimization. Findings underscore the capacity of AI tools to devise innovative and multifaceted strategies, augmenting the creative capacities of entrepreneurs. Notably, Chat GPT demonstrated a propensity for generating detailed and contextually attuned strategies, while GEMINI yielded broader outlines. Notwithstanding their contributions, the significance of entrepreneur-led customization and the AI training process emerged as pivotal factors. The study recognizes current limitations, notably the need for refining AI-generated responses to align with business nuances. The research accentuates the transformative potential of AI in strategic planning while highlighting ethical considerations in employing these tools. Notably, AI assistance should be considered as a synergistic partner to human ingenuity, bolstering the entrepreneurial decision-making process. The research extends a foundational platform for future inquiries, including probing limitations, generalizing outcomes, and long-term strategies for successful AI-business integration.

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References

Ahmed, I., Kajol, M., Hasan, U., Datta, P. P., Roy, A., & Reza, M. R. (2023). ChatGPT vs. Bard: A Comparative Study. UMBC Student Collection.
Ausat, A. M. A., Rachman, A., Rijal, S., Suherlan, S., & Azzaakiyyah, H. K. (2023). Application of ChatGPT in Improving Operational Efficiency in the Context of Entrepreneurship. Jurnal Minfo Polgan, 12(1), 1220–1228.
Canhoto, A. I., & Clear, F. (2020). Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential. Business Horizons, 63(2), 183–193.
Chen, L., Jiang, M., Jia, F., & Liu, G. (2022). Artificial intelligence adoption in business-to-business marketing: toward a conceptual framework. Journal of Business & Industrial Marketing, 37(5), 1025–1044.
De Mauro, A., Sestino, A., & Bacconi, A. (2022). Machine learning and artificial intelligence use in marketing: a general taxonomy. Italian Journal of Marketing, 2022(4), 439–457.
Di Vaio, A., Palladino, R., Hassan, R., & Escobar, O. (2020). Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review. Journal of Business Research, 121, 283–314.
Enholm, I. M., Papagiannidis, E., Mikalef, P., & Krogstie, J. (2022). Artificial intelligence and business value: A literature review. Information Systems Frontiers, 24(5), 1709–1734.
Feuerriegel, S., Shrestha, Y. R., von Krogh, G., & Zhang, C. (2022). Bringing artificial intelligence to business management. Nature Machine Intelligence, 4(7), 611–613.
Ge, X., Li, D., Guan, D., Xu, S., Sun, Y., Zhou, M., Marcus, A., & Wang, W. (2019). Design, user experience, and usability. User experience in advanced technological environments: Vol. null (null, Ed.).
George, A. S., & George, A. S. H. (2023). A review of ChatGPT AI’s impact on several business sectors. Partners Universal International Innovation Journal, 1(1), 9–23.
Jarco, D., & Sulkowski, L. (2023). Is ChatGPT better at business consulting than an experienced human analyst? An experimental comparison of solutions to a strategic business problem. Forum Scientiae Oeconomia, 11(2).
Lu, Y. (2019). Artificial intelligence: a survey on evolution, models, applications and future trends. Journal of Management Analytics, 6(1), 1–29.
Martínez-Gautier, D., Garrido-Yserte, R., & Gallo-Rivera, M.-T. (2021). Educational performance and ICTs: Availability, use, misuse and context. Journal of Business Research, 135, 173–182. https://doi.org/10.1016/j.jbusres.2021.06.027
Sestino, A., & De Mauro, A. (2022). Leveraging artificial intelligence in business: Implications, applications and methods. Technology Analysis & Strategic Management, 34(1), 16–29.
Shihab, S. R., Sultana, N., & Samad, A. (2023). Revisiting the use of ChatGPT in Business and Educational Fields: Possibilities and Challenges. BULLET: Jurnal Multidisiplin Ilmu, 2(3), 534–545.
Soni, N., Sharma, E. K., Singh, N., & Kapoor, A. (2020). Artificial intelligence in business: from research and innovation to market deployment. Procedia Computer Science, 167, 2200–2210.
Wang, N. (2022). Application of DASH client optimization and artificial intelligence in the management and operation of big data tourism hotels. Alexandria Engineering Journal, 61(1), 81–90.
Wang, P. (2019). On Defining Artificial Intelligence. Journal of Artificial General Intelligence, 10(2), 1–37. https://doi.org/10.2478/jagi-2019-0002
Wang, Z. (2022). Computer-assisted EFL writing and evaluations based on artificial intelligence: a case from a college reading and writing course. Library Hi Tech, 40(1), 80–97.

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[1] Ahmed, I., Kajol, M., Hasan, U., Datta, P. P., Roy, A., & Reza, M. R. (2023). ChatGPT vs. Bard: A Comparative Study. UMBC Student Collection.

[2] Ausat, A. M. A., Rachman, A., Rijal, S., Suherlan, S., & Azzaakiyyah, H. K. (2023). Application of ChatGPT in Improving Operational Efficiency in the Context of Entrepreneurship. Jurnal Minfo Polgan, 12(1), 1220–1228.

[3] Canhoto, A. I., & Clear, F. (2020). Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential. Business Horizons, 63(2), 183–193.

[4] Chen, L., Jiang, M., Jia, F., & Liu, G. (2022). Artificial intelligence adoption in business-to-business marketing: toward a conceptual framework. Journal of Business & Industrial Marketing, 37(5), 1025–1044.

[5] De Mauro, A., Sestino, A., & Bacconi, A. (2022). Machine learning and artificial intelligence use in marketing: a general taxonomy. Italian Journal of Marketing, 2022(4), 439–457.

[6] Di Vaio, A., Palladino, R., Hassan, R., & Escobar, O. (2020). Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review. Journal of Business Research, 121, 283–314.

[7] Enholm, I. M., Papagiannidis, E., Mikalef, P., & Krogstie, J. (2022). Artificial intelligence and business value: A literature review. Information Systems Frontiers, 24(5), 1709–1734.

[8] Feuerriegel, S., Shrestha, Y. R., von Krogh, G., & Zhang, C. (2022). Bringing artificial intelligence to business management. Nature Machine Intelligence, 4(7), 611–613.

[9] Ge, X., Li, D., Guan, D., Xu, S., Sun, Y., Zhou, M., Marcus, A., & Wang, W. (2019). Design, user experience, and usability. User experience in advanced technological environments: Vol. null (null, Ed.).

[10] George, A. S., & George, A. S. H. (2023). A review of ChatGPT AI’s impact on several business sectors. Partners Universal International Innovation Journal, 1(1), 9–23.

[11] Jarco, D., & Sulkowski, L. (2023). Is ChatGPT better at business consulting than an experienced human analyst? An experimental comparison of solutions to a strategic business problem. Forum Scientiae Oeconomia, 11(2).

[12] Lu, Y. (2019). Artificial intelligence: a survey on evolution, models, applications and future trends. Journal of Management Analytics, 6(1), 1–29.

[13] Martínez-Gautier, D., Garrido-Yserte, R., & Gallo-Rivera, M.-T. (2021). Educational performance and ICTs: Availability, use, misuse and context. Journal of Business Research, 135, 173–182. https://doi.org/10.1016/j.jbusres.2021.06.027

[14] Sestino, A., & De Mauro, A. (2022). Leveraging artificial intelligence in business: Implications, applications and methods. Technology Analysis & Strategic Management, 34(1), 16–29.

[15] Shihab, S. R., Sultana, N., & Samad, A. (2023). Revisiting the use of ChatGPT in Business and Educational Fields: Possibilities and Challenges. BULLET: Jurnal Multidisiplin Ilmu, 2(3), 534–545.

[16] Soni, N., Sharma, E. K., Singh, N., & Kapoor, A. (2020). Artificial intelligence in business: from research and innovation to market deployment. Procedia Computer Science, 167, 2200–2210.

[17] Wang, N. (2022). Application of DASH client optimization and artificial intelligence in the management and operation of big data tourism hotels. Alexandria Engineering Journal, 61(1), 81–90.

[18] Wang, P. (2019). On Defining Artificial Intelligence. Journal of Artificial General Intelligence, 10(2), 1–37. https://doi.org/10.2478/jagi-2019-0002

[19] Wang, Z. (2022). Computer-assisted EFL writing and evaluations based on artificial intelligence: a case from a college reading and writing course. Library Hi Tech, 40(1), 80–97.

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