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Start Date

16-8-2018 12:00 AM

Description

With new strategic challenges arising from the process of digital transformation in Latin America, both the political-economic landscape of uncertainty and the growing corporate death rates have brought to light signs of a new dynamic of competitiveness in changing environments. In this sense, this research in progress is aimed at investigating how organizations would achieve the long-term performance by monitoring signs of market changes that might be turned into actionable insights for the corporate strategy. Drawing on the literature of information systems and strategic management, we developed a model that outlines the moderating role of the absorptive capacity (CA) in strengthening the relationship between strategic foresight (SF) and the sustained competitive advantage (VCS). To evaluate this model, a test of the hypotheses originated from the research model will be conducted using covariance-based structural equation modeling (CB-SEM), based on survey data collected from businesses within the digital context in Brazil.

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Aug 16th, 12:00 AM

From Signs to Insights: the Moderating Role of the Absorptive Capacity between Strategic Foresight and the Firm’s Sustainability

With new strategic challenges arising from the process of digital transformation in Latin America, both the political-economic landscape of uncertainty and the growing corporate death rates have brought to light signs of a new dynamic of competitiveness in changing environments. In this sense, this research in progress is aimed at investigating how organizations would achieve the long-term performance by monitoring signs of market changes that might be turned into actionable insights for the corporate strategy. Drawing on the literature of information systems and strategic management, we developed a model that outlines the moderating role of the absorptive capacity (CA) in strengthening the relationship between strategic foresight (SF) and the sustained competitive advantage (VCS). To evaluate this model, a test of the hypotheses originated from the research model will be conducted using covariance-based structural equation modeling (CB-SEM), based on survey data collected from businesses within the digital context in Brazil.