Predictive data analytics for contract renewals: a decision support tool for managerial decision-making

Serhat Simsek, Abdullah Albizri, Marina Johnson, Tyler Custis, Stephan Weikert

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: Predictive analytics and artificial intelligence are perceived as significant drivers to improve organizational performance and managerial decision-making. Hiring employees and contract renewals are instances of managerial decision-making problems that can incur high financial costs and long-term impacts on organizational performance. The primary goal of this study is to identify the Major League Baseball (MLB) free agents who are likely to receive a contract. Design/methodology/approach: This study used the design science research paradigm and the cognitive analytics management (CAM) theory to develop the research framework. A dataset on MLB's free agents between 2013 and 2017 was collected. A decision support tool was built using artificial neural networks. Findings: There are clear links between a player's statistical performance and the decision of the player to sign a new offered contract. “Age,” “Wins above Replacement” and “the team on which a player last played” are the most significant factors in determining if a player signs a new contract. Originality/value: This paper applied analytical modeling to personnel decision-making using the design science paradigm and guided by CAM as the kernel theory. The study employed machine learning techniques, producing a model that predicts the probability of free agents signing a new contract. Also, a web-based tool was developed to help decision-makers in baseball front offices so they can determine which available free agents to offer contracts.

Original languageEnglish
Pages (from-to)718-732
Number of pages15
JournalJournal of Enterprise Information Management
Volume34
Issue number2
DOIs
StatePublished - 30 Sep 2020

Keywords

  • Cognitive analytics management
  • Design science
  • Machine learning
  • Sports analytics

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