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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.

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.

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.

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.

The purpose of this paper is to explore why the stagnant version of amateurism that is being used by the National Collegiate Athletic Association (NCAA) and its member institutions to limit student–athlete compensation is creating labor law and antitrust violations, and ultimately contributing to a black market in college athletics.

The qualitative portion of the examination uses a review of historic and recent cases regarding labor law and antitrust violations and applies them to the college athletic industry. Furthermore, the quantitative portion creates a scaled revenue sharing calculation utilizing financial reports from university athletic departments and corresponding professional revenue-sharing agreements to discern an approximate value of a student–athlete’s participation.

The authors find that the current structure of the NCAA and regulatory framework perpetuate injustice for those who lack a voice in the system. Furthermore, the research shows a wage disparity of millions of dollars creating a lack of free market and black-market tensions to reach free market equilibrium.

This research creates reasoning to restructure the NCAA system to adjust for modern commercialization and profits of the industry.

This paper highlights the legal and regulatory abuses by the NCAA, and demonstrates how the compensation gap created by these legal violations is creating a strain on free market flow ultimately leading to a black-market effect in the industry.