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Omar Malik

Associate Professor in the School of Management

Disciplines

  • Business
  • Engineering
  • Social and Behavioral Sciences

Research Interests

  • My research interests span three domains: Strategy, International Business and Data-science. My current research that intersects strategy and data-science looks at the emergence of data-science, as a dynamic capability, in business organizations. This research takes a mixed-methods approach to examining emergence of dynamic capabilities. In a separate paper, I am also looking at ‘Big Data’, as a social-science concept, and clarifying its theoretical value. Over the last few years, I have developed deep skills in visualization, advanced statistics and Machine Learning (ML). I will be applying these skills in applied research within organizations by developing ML models that facilitate organizational decision-making. In this context, I am working on a Natural Language Processing (NLP) application that evaluates the quality of contractual agreements between various parties. This is an application of ML to the legal domain. I am especially interested in applications of neural networks and reinforcement learning within organizations.

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  1. School of Management

Discipline

    1. Business 6
    2. Social and Behavioral Sciences 2
    3. Engineering 1
    4. Law 1

Research Interest

    1. Applied Statistics and Big Data analysis (machine learning) 1
    2. Development, Management, and Growth of Microenterprise 1
    3. Distance Learning Pedagogy 1
    4. Econometrics 1
    5. Economic Analyses 1
    1. Engineering Education 1
    2. Entrepreneurship as a Self-Sufficiency and Anti-Poverty Strategy 1
    3. Healthcare analytics 1
    4. Industrial Design and Manufacturing 1
    5. Innovation Development Excellence 1
    6. Intellectual Property Law. 1
    7. Lean Product and Process Development 1
    8. Multivariate Statistical Analysis 1
    9. My research interests span three domains: Strategy, International Business and Data-science. My current research that intersects strategy and data-science looks at the emergence of data-science, as a dynamic capability, in business organizations. This research takes a mixed-methods approach to examining emergence of dynamic capabilities. In a separate paper, I am also looking at ‘Big Data’, as a social-science concept, and clarifying its theoretical value. Over the last few years, I have developed deep skills in visualization, advanced statistics and Machine Learning (ML). I will be applying these skills in applied research within organizations by developing ML models that facilitate organizational decision-making. In this context, I am working on a Natural Language Processing (NLP) application that evaluates the quality of contractual agreements between various parties. This is an application of ML to the legal domain. I am especially interested in applications of neural networks and reinforcement learning within organizations. 1
    10. New Product Development 1
    11. Operation Research 1
    12. Operations Management 1
    13. Project and Capital Management 1
    14. Risk Management and Analysis 1
    15. Service Quality in the Health Sector 1
    16. Six Sigma and Quality Improvement 1
    17. Small Business and Non-Profit Organizations 1
    18. Statistical Quality Control 1
    19. Stochastic Processes 1
    20. Structural Equation Modeling 1
    21. Survey Development 1
    22. System Dynamics and simulation 1

Organization

    1. School of Management

Position

    1. Faculty Member 6