An optimal information acquisition model for competitive advantage in complex multiperspective environments
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Publication date
2014
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Publisher
Elsevier
Citation
Tavana, M., Di Caprio, D., & Santos-Arteaga, F. J. (2014). An optimal information acquisition model for competitive advantage in complex multiperspective environments. Applied Mathematics and Computation, 240, 175-199. https://doi.org/10.1016/J.AMC.2014.04.074
Abstract
The optimal information acquisition process is a major strategic task for sustaining a firm’s
competitive advantage. We define the optimal sequential information acquisition behavior
of a rational decision maker (DM) when allowed to acquire two pieces of information from
and observe positive credible signals on a set of multidimensional products. We illustrate
how firm reputation affects the continuity of the expected utilities derived from a given
search and may generate reversals in the information acquisition incentives of DMs when
deciding whether or not to shift their search processes between different signal-induced
markets. This study makes a number of important contributions to our understanding of
a firm’s information acquisition. First, it provides a formal analysis of the information
acquisition process when the characteristics defining a product have a continuous set of
variants. Second, it allows for the study of risk-averse DMs, while most of the literature
concentrates on risk-neutral DMs. Third, it opens the way for strategic scenarios to be considered when analyzing the information acquisition processes of firms and creates a direct
link to the game theoretical literature on strategic reporting. Fourth, it can be easily implemented within multicriteria decision making methods such as the analytic hierarchy process (AHP) to study the information acquisition behavior of DMs when the characteristics
of the products are unknown.