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Framework for Strategic Planning and Assisted by Artificial Intelligence
(Springer Nature, 2025-03-25) Alvarado-Acuña, Luis Segundo; Piñero-Pérez, Pedro Yobanis; Yzquierdo-Herrera, Raykenler; Piñero-Ramírez, Carlos Manuel; López-Correa, Francisco Javier; García-Vacacela, Roberto
Strategic forecasting continues to be one of the fundamental elements in decision making. This branch of management sciences, like other branches of knowledge, is being influenced by artificial intelligence and other emerging technologies. In this work, in the first section of the methods section, a brief study is made of the state of the art of trends in strategic planning and the points of contact with artificial intelligence. The opportunities for improvement of existing strategic forecasting techniques with respect to the treatment of uncertainty are analyzed. In the second section, a proposal is made for a framewrok for strategic planning assisted by artificial intelligence techniques. This model allows aiding decision making while maintaining an adequate management of information uncertainty. Then, in the results analysis session, the proposals made are validated. Statistical techniques and expert and data triangulation methods are used. As conclusions, the validity of the proposal and its power for decision making under uncertainty is demonstrated. Future lines of work are also presented.
Measurement of Perceived Quality in Conversational Systems (Chatbots)
(Springer Nature, 2025-03-25) Hernández-Pupo, Luis Gabriel; Yzquierdo-Herrera, Raykenler; Alvarado-Acuña, Luis Segundo; Piñero-Pérez, Pedro Yobanis; Pérez-Pupo, Iliana; Bello-Pérez, Rafael
The increase in the number of conversational systems (chatbots) applied to different scenarios in society is notable. However, the development of metrics and evaluation methods for chatbots still remains an open line of research. The aim is to create evaluation methods that are less and less invasive and that do not reduce the participation of users or other human agents. In this work, in the methods section, a systematic review is carried out on different evaluation methods for chatbots. Then, in the same section, new metrics for the evaluation of conversations with chatbots inspired by the neutrosophic theory are presented. In the results section, the validation of the proposed model is carried out. The applicability of the model is evaluated and the proposal is subjected to expert triangulation methods. In the work, it is possible to demonstrate that the application of neutrosophic logic can contribute to achieving a more natural response from chatbots. This effect can be useful to mitigate the presence of false responses or hallucinations.