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Research Streams ((Economics) How does data and and analytics affect a…
Research Streams
(Economics) How does data and and analytics affect a firms ability to innovate? What forces moderate the effectiveness of the use of data and analytics? To what extent does knowledge and intention drive innovative firm outcomes (vs. other mechanisms)?
What is the role of luck or serendipity in driving technological innovation? How much does intention match outcome when it comes to innovation strategy?
What extrinsic forces shape a companies willingness to adopt innovative ideas vs. staying with safer, more conservative strategies?
What are the types of analytics tools, and what types of tools have the greatest culture impact on firm outcomes? :
What is the importance of rigor and analytical accuracy in the importance of analytics to firm outcomes?
How do the attributes of data analytics affect it's effectiveness? What is the importance of analytics being verifiable? Analytically complex? Unbiased? Interpretable? Nuanced?
What makes a tool analytically "valid"? What makes a family of tools analytically "valid"? To what extent do analytic assumptions matter in the way a firm does measurement?
How much does the separation of tool creator from user affect the utility of the tool? How concerning is it that the makers of the tools do not themselves understand how it is being applied (or even the generality of the method embedded in the tool)?
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(Psychology) How do humans represent business knowledge in the mind, and how do they update it? What implications does this have for firm strategy?
How do managers represent their domain of the business in their minds? How are strategic options formulated and evaluated?
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How do managers and analysts decide what are the important "dimensions"/ "breakouts"/ "drivers" in assessing a strategic outcome? How are these "dimension" categories updated and refined over time?
What are the "types" of mental models that a manager might have about a business? Do managers think about their domain of business in terms of multiple mental models, or do they orient their thinking around one "types" of model? (Relates to Images of Organization
What is the mechanism that managers use to process information? What is the impact of "how well a manager thinks" on firm outcomes?
What are the characteristics of managers that are most likely to update their mental models on the basis of new information?
What contextual determinants (culture, knowledge, organizational inertia) cause managers to accept / reject information?
What psychological determinants (prior belief, bias, stubbornness, trust) cause managers to reject information?
What is the general mechanism by which people assess the truthfulness of a statement? What is the general mechanism by which people come to have certainty about an idea?
What is the role of qualitative ("fuzzy") thinking vs. quantitative thinking when it comes to firm decision making?
What type of information or learning is lost in the communication between analyst (quantitative, broad) and manager (qualitative, narrow)? Is the nuance or complexity of opinion important?
To what extent or in what scenarios do manager think qualitatively (e.g. narratives) vs. quantitatively (e.g. averages) vs. probabilistically (distributions of outcomes)?