Complementary Person-Environment Fit as a Predictor of Job Pursuit Intentions in the Service Industry
AbstractThere is an intrinsic link between the success of service firms and the availability of appropriate labor resources, making employee attraction and retention a critical concern for service organizations. Effects of recruitment efforts are influenced by applicants' subjective person-environment (P-E) fit, referring to the compatibility between an individual and a work environment. The purpose of this paper is to examine the role of employer attractiveness in the relationship between potential employees' perceptions of P-E fit and job pursuit intentions in the service industry. This study was conducted with a group of 335 undergraduates and graduates enrolled in tourism and hospitality studies in Poznan. Data were collected through group-administered questionnaires. Research revealed that students generally did not believe that a career in the hospitality sector would fulfill their needs, rating job attributes slightly higher than organization attributes. Regression analyses showed that both person-job (P-J) fit and person-organization (P-O) fit were positively related to intentions to apply for a job, with the former being a stronger predictor. The relationship under study was fully mediated by the perceived attractiveness of hospitality employers. The findings contribute to an improved understanding of the influence of P-J and P-O fit on work-related attitudes and intentions of Generation Y prospective employees in the hospitality industry.
|Journal series||Contemporary Economics, ISSN 2084-0845, e-ISSN 2300-8814, [1897-9254], (B 15 pkt)|
|Publication size in sheets||0.55|
|Keywords in English||person-environment fit, employer attractiveness, job pursuit intentions, service industry, potential employees|
|Score|| = 15.0, 21-12-2019, ArticleFromJournal|
= 15.0, 21-12-2019, ArticleFromJournal
|Publication indicators||= 5; : 2016 = 0.453|
|Citation count*||12 (2020-09-23)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.