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Call for joint efforts: I welcome research collaboration ideas/proposals directly contributing to these themes. These founding projects will form the intellectual foundation for the network of GoPeaks labs. Please email

Grand Design of the Overall System


        Vision paper: the key elements of a new business science-practice ecosystem 每with Dr. Michael Hitt (Texas A&M University) and Dr. Denise Rousseau (Carnegie Mellon University).


        Reinventing technologies, outlets, and incentives of B-schools: The knowledge accumulation problem of the current top scientific journal-centric system of B-schools and ideas on a new system (under R&R at Academy of Management Learning & Education) 每with Dr. Michael Hitt (Texas A&M University).


        General principles for ※best practices§ of a research paper


Knowledge Synthesis Meta-Frameworks


        A general approach of knowledge synthesis for evidence-based prescriptions: In the context of equity-based foreign entry mode, and this project has developed a general template on comparing and integrating multiple theories to prescribe evidence-based ※best practices§. It helps consolidate the stock of knowledge from academic research, identify context boundaries, and help analytics professionals to develop a training model for managing and predicting foreign entry performance. The paper is currently under review at a journal 每with Yuanyuan Li (PhD student at Rutgers University), Dr. George Banks (University of North Carolina at Charlotte), and Dr. Erik Gonzalez-Mul谷 (Indiana University).


        A meta-framework of conceptualizations: This project is to synthesize disparate conceptualizations of institutions (formal rules and informal constraints, cultures) and ways to measure their dynamics and diversity across levels and societies. It is a work-in-progress 每with Dr. John Cantwell (Rutgers University).


        A meta-framework across levels: This project is to explain the co-evolution between multinational enterprise (MNE) and institutional environments. It is to develop a general approach to analyze and predict dynamics of MNEs and institutions and their interactions. The proposal is currently under review at a journal 每with Dr. John Cantwell (Rutgers University) and Dr. Harald Bathelt (University of Toronto).


Pluralistic Business Performance Matrix


        A pluralistic performance matrix of multi-stakeholder satisfaction: This project is based on 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 the pluralistic, multi-dimensional ※performance§ in Peaks. It is a work-in-progress, with all the primary studies fully coded 每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).


        A conceptual map of interests and influence of all types of shareholders: This paper conceptualizes diverse shareholder interests along with the market- and nonmarket logic, and shareholder influence through residual claimant and social means. Because the criteria of measuring business performance are largely influenced by powerful shareholders (or their fiduciary agents in corporate governance), understanding the full spectrum of their interests and influence helps us understand how business performance measures might be selected and implemented in actual corporate governance. The paper is a work-in-progress 每with Dr. Ruth Aguilera (Northeastern University).

o   This work is derived from a series of my publications and working papers on shareholder heterogeneity and conflicts.


Knowledge Mining Algorithms


        Text analytics of scientific literature: This review uses content analysis techniques to mine and organize the key predictors from both theory and empirical methods for multiple stakeholder satisfaction based on 800+ primary studies, each of which contains at least two stakeholder groups in their abstracts. A proposal has been accepted for presentation at 2018 INFORMS Annual Meeting at Phoenix 每with Dr. Reza Mousavi (University of North Carolina at Charlotte) and Dr. Wlodek Zadrozny (University of North Carolina at Charlotte; formerly IBM Watson).


Big Data Platforms at Workplaces


        I am in active conversations with several big data/analytics firms for the possibility of building platforms inside workplaces to integrate and monitor Peaks matrix as well as key predictors and their interactions.

        The practical value:

o   For analytics-based decision makers: to integrate management/social sciences into data for explainable analytics, thus closing the gap between technical teams and nontechnical executives.

o   For the individuals/organizations offering data: to be treated with rigorous management/social sciences-based prescriptions, recommendations, and services.

        The academic/research value:

o   Retests and meta-analysis of integrative meta-frameworks, concluding a debating field, filling knowledge gaps, and identifying context boundaries.

o   Constructing a digital experimental field for conducting large-scale randomized quasi-experiments to identify new insights.




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