A Proposal and Call for Funding for GoPeaks.org Initiative
Global OpenLabs for Performance-Enhancement Analytics and Knowledge System
“Without a common framework to organize findings, isolated knowledge does not cumulate.”
…2009 Nobel Laureate Elinor Ostrom
1. With Dr. Michael Hitt (Texas A&M University), I have written a critical review of the current knowledge ecosystem of management research and education. It is currently under Revise and Resubmit at Academy of Management Learning & Education.
2. With Dr. Michael Hitt (Texas A&M University) and Dr. Denise Rousseau (Carnegie Mellon University), I drafted a on the key elements of a new business science-practice ecosystem.
3. With Yuanyuan Li (PhD student at Rutgers University), Dr. George Banks (University of North Carolina at Charlotte), and Dr. Erik Gonzalez-Mulé (Indiana University), I have developed a general approach of knowledge synthesis for evidence-based prescriptions. The purpose is to introduce a general template for synthesizing alternative theories to explain complex social phenomena and to inform evidence-based prescriptions. In this project, we focus on equity-based foreign entry mode, which help analytics professionals to develop a training model for predicting foreign entry performance.
4. With Dr. Marc van Essen (University of South Carolina), Dr. Steve Sauerwald (University of Illinois at Chicago), and Dr. Michael Hitt (Texas A&M University), I am co-authoring a meta-analysis of 138 primary studies on country-level predictors for enhancing multi-stakeholder performance indicators. The purpose is to reconcile the debate between a multi-objective view of stakeholder-agency theory and a trade-off view of shareholder-agency theory. It helps to build up a comprehensive matrix of performance indicators to satisfy multiple stakeholders. The matrix will be the basis of “performance” in Peaks.
5. With Dr. Reza Mousavi (University of North Carolina at Charlotte), I am proposing a review article using a new text analysis algorithm. We are developing a seed bucket of keywords for causes-and-effects and multi-stakeholder satisfaction measures, as well as an algorithm for analyzing text/context similarity to semi-automatically extract and organize key predictors for multiple stakeholder satisfaction. A proposal has been accepted for presentation at 2018 INFORMS Annual Meeting a Phoenix.
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