Extending a Business Performance Improvement Framework with a Semantic Enhanced Hybrid Recommender System Design

Stephen Wallace, Pace University

Abstract

Performance Management Systems (PMS) have been recognized as a crucial element to helping organizations improve their performance. They provide methodologies to help organizations identify Key Performance Metrics that help measure and improve performance. One of the most important Performance Management Systems is the Balanced Scorecard (BSC). There seems to be a common set of universal business goals that people from multiple organizations, naturally seem to select as goals to improve business performance. So it would be logical to assume that there would be a commensurate set of universal Business Metrics that people would also use. The research show there is not. The Balanced Scorecard systems do not provide any guidance or recommendations on which metrics are most effective or valuable. In addition, the Balanced Scorecard System does not provide any guidance or recommendations on what data is needed to calculate the metrics; where the data is located, or what challenges organization will face as they attempt to implement the system. What is needed is a Recommender Systems that will extend the Balanced Scorecard system by providing stakeholder with specific recommendations on which metrics others with similar goals have found valuable; the location of the data needed to calculate the metrics; and the barriers practitioners will face as they attempt to implement a BSC. A Recommender System is defined as “any system that produces individualized recommendations that has the effect of guiding the user in a personalized way to a useful objects in a large space of possible options. Modern Recommender Systems designs are very good at making certain types of recommendations like which movies to watch or which books to read. However, they are inadequate when attempting to make other types of recommendations like which metrics to apply to improve desired business outcomes, which systems or what data is needed to calculate a metric, or which barriers one should be expected when attempting to change a business process. This research will introducing a Semantic Enhanced Hybrid Recommender System Design that will address these shortcomings, and extend the Balanced Scorecard System.

Subject Area

Marketing|Information Technology|Computer science

Recommended Citation

Wallace, Stephen, "Extending a Business Performance Improvement Framework with a Semantic Enhanced Hybrid Recommender System Design" (2016). ETD Collection for Pace University. AAI10146295.
https://digitalcommons.pace.edu/dissertations/AAI10146295

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