In underdeveloped economies, it is common that entrepreneurial decision-making is inhibited by a high degree of uncertainty, inaccessibility of timely and predictable information, infrastructural shortages, as well as ineffective institutional support. In such contexts, Strategic Management Intelligence Systems (SMIS) that combine business intelligence, data analytics, artificial intelligence and strategic foresight mechanization have become important in facilitating informed and adaptive decision making. This paper explores the relevance of SMIS in the quality of entrepreneurial decisions, strategic responsiveness, and competitive positioning in the underdeveloped economies. The study follows an integrative framework to explore the effectiveness of the systems that use intelligence in identifying opportunities and financial planning, market analysis, and strategic fit in the context of resource constraints. The method used is a mixed methodological approach which integrates the system architecture analysis, decision-performance indicator analysis, as well as simulated entrepreneurial scenarios which are indicative of underdeveloped market environments. The results show that entrepreneurs who make use of SMIS have a better strategic awareness, are able to react to the environmental factors faster, they have a better capacity to evaluate risks and are more aligned between the strategic intent and the operational implementation. The research also indicates that contextual factors including data literacy, organizational culture, technological preparedness, and managerial intelligence have a strong impact on the SMIS effectiveness. The SMIS can offer a feasible solution to the structural and informational challenges of the entrepreneur by facilitating sustainable entrepreneurial growth and enhancing the effectiveness of the decisions made by the entrepreneur. The study provides a contribution to the strategic management and entrepreneurship literature by providing a situation-specific intelligence framework and business tips to entrepreneurs, policymakers, and development stakeholders interested in expanding decision-making capacity, as well as financial resiliency in underdeveloped economies.
Strategic intelligence; Business intelligence systems; Entrepreneurial decision-making; Underdeveloped economies; Artificial intelligence; Data analytics; Strategic management.
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