Title: Association rule mining for job seekers' profiles based on personality traits and Facebook usage
Authors: Sunday Adewale Olaleye; Dandison C. Ukpabi; Olayemi Olawumi; Donald Douglas Atsa'am; Richard O. Agjei; Solomon Sunday Oyelere; Ismaila Temitayo Sanusi; Friday Joseph Agbo; Oluwafemi Samson Balogun; Saheed A. Gbadegeshin; Ayobami Adegbite; Emmanuel Awuni Kolog
Addresses: School of Business, JAMK University of Applied Sciences, Rajakatu 35, 40100 Jyväskylä, Finland ' Jyväskylä School of Business and Economics, University of Jyväskyla, Finland ' School of Computing, University of Eastern Finland, FI-70211 Kuopio, Finland ' Department of Mathematics, Statistics, and Computer Science, University of Agriculture, Makurdi, Nigeria ' Department of Public Health, University of Central Nicaragua Medical Center, Semaforos del Zumen 3C, Nicaragua ' Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, SE-931 87 Skellefteå, Sweden ' School of Computing, University of Eastern Finland, P.O. Box 111, 80110 Joensuu, Finland ' School of Computing, University of Eastern Finland, P.O. Box 111, 80110 Joensuu, Finland ' School of Computing, University of Eastern Finland, FI-70211 Kuopio Campus, Finland ' Department of Management and Entrepreneurship, Turku School of Economics, University of Turku, Rehtorinpellonkatu 3, FI-20500 Turku, Finland ' Bioenvironmental Science Program, Morgan State University, Baltimore, Maryland, USA ' Department of Operations and Management Information System, University of Ghana, Accra, Ghana
Abstract: Personality traits play a significant role in many organisational parameters, such as job satisfaction, performance, employability, and leadership for employers. One of the major social networks, the unemployed derives satisfaction from is Facebook. The focus of this article is to introduce association rule mining and demonstrate how it may be applied by employers to unravel the characteristic profiles of the unemployed Facebook users in the recruitment process by employers, for example, recruitment of public relations officers, marketers, and advertisers. Data for this study comprised 3,000 unemployed Facebook users in Nigeria. This study employs association rule mining for mining hidden but interesting and unusual relationships among unemployed Facebook users. The fundamental finding of this study is that employers of labour can adopt association rule mining to unravel job relevant attributes suitable for specific organisational tasks by examining Facebook activities of potential employees. Other managerial and theoretical implications are discussed.
Keywords: association rule mining; Facebook; unemployment; personality traits.
International Journal of Business Information Systems, 2022 Vol.40 No.3, pp.299 - 326
Received: 01 Oct 2019
Accepted: 01 Dec 2019
Published online: 17 Aug 2022 *