CLUSTER AND CAREERS: EXPLORING SALARY STRUCTURES AND FACULTY RECRUITMENT IN ACADEMIC PROGRAMS

Vicente E. Montaño, Glenndon C. Sobrejuanite

Abstract


This research explores the dynamic of faculty recruitment challenges within academic sectors through the lens of human capital theory, social cognitive theory, and expectancy theory. Utilizing the k-Means Cluster Algorithm to delineate the distribution of programs and associated salary ranges, the study examines the implications for attracting faculty graduates. The findings reveal a concentration of programs in Cluster 0, reflecting serious difficulties in faculty recruitment attributed to lower salary offerings. Drawing on Human Capital principles, the research recommends a comprehensive review of salary structures, strategic communication efforts, collaborative benchmarking, professional development initiatives, and program diversification to enhance faculty recruitment strategies. This study contributes valuable insights to the discourse on optimizing faculty recruitment in academic sectors, presenting practical recommendations for aligning programs with evolving industry needs.

 

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faculty recruitment, Human Capital theory, Social Cognitive theory and Expectancy theory, k-Means Cluster Algorithm

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DOI: http://dx.doi.org/10.46827/ejes.v11i2.5187

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