Digital Responses: Quality and Impact on Strategic Vision
DOI:
https://doi.org/10.26871/killkana_social.v10i3.1660Keywords:
Big data, Data quality, Bibliometric study, Strategic foresightAbstract
Strategic foresight has become an essential tool for organizations and societies to face uncertainty and rapid changes in business and social environments. This study aims to analyze the relationship between the quality of responses in digital questionnaires and strategic foresight, recognizing that data quality directly influences the generation of future scenarios and informed decision-making. The methodology employed consists of a bibliometric analysis of articles indexed in the Scopus database. Thirty-four relevant articles were identified, and a keyword co-occurrence analysis was conducted with the support of Notebook LM. The results highlight that information quality is a critical aspect of strategic foresight, particularly in the context of the proliferation of big data and open data. Despite the growing availability of data, challenges remain, such as the high degree of manual processes in analysis and the reliance on traditional approaches that limit automation and continuous learning. The relevance of artificial intelligence and data mining techniques is underscored as tools to improve efficiency, detect weak signals, and reduce human bias in the early stages of the foresight process. The study concludes that it is necessary to strengthen data quality and promote the integration of advanced technologies to enhance strategic foresight and, consequently, organizational adaptability. Practical applications are projected in the development of more robust strategies to face future scenarios in areas such as risk management, technological innovation, and business strategic planning.
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