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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 understand and examine whether the Sarikamish battlefield site can be considered as a dark tourist attraction by exploring the extent to which the site meets the five stages of MacCannell’s sacralisation process.

In the present research, the case study approach was adopted within the context of the battlefield site to examine the sight sacralisation concept, which is credited to MacCannell (1976), by considering its five stages, which include naming, framing and elevation, enshrinement, mechanical reproduction and social reproduction.

The findings of the present study reveal that the Sarikamish battlefield site has the potential for dark tourism consumption. However, there is lack of interest in the Sarikamish site, and little attention has been paid to this issue. The results also show that there is a significant difference between the Gallipoli and Sarikamish battlefields in terms of tourist flows regarding dark tourism.

Because of time limits and the long distance to the Sarikamish province, this research benefited from gathering data both from printed documents and websites related to the province, in addition to interviews that were conducted using semi-structured questions, which were e-mailed to the respondents.

The present study is unique in regards to its objective, which is to increase public awareness about the site. Moreover, it seeks to make people more cognisant in terms of motivation to visit the Sarikamish battlefield, and these issues have been given little attention by scholars.