Relationships between clinical psychological depression and employee absenteeism: a data analytics approach
dc.authorscopusid | Dursun Delen / 55887961100 | |
dc.authorwosid | Dursun Delen / AGA-9892-2022 | |
dc.contributor.author | Grifno, Kenny | |
dc.contributor.author | Bao, Chenzhang | |
dc.contributor.author | Russell, Craig J. | |
dc.date.accessioned | 2025-04-17T08:38:59Z | |
dc.date.available | 2025-04-17T08:38:59Z | |
dc.date.issued | 2025 | |
dc.department | İstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümü | |
dc.description.abstract | Psychological depression has emerged as a global concern, leading to increased employee absenteeism and reduced productivity. Rising healthcare expenditures compound the issue, negatively impacting employees' healthcare benefits and treatment options. Therefore, it becomes imperative for organizations to understand the efficacy of alternative healthcare benefits in addressing employee absences. Conservation of resources theory provides an analytical framework integrating diverse data sources to investigate this matter. We explored the relationship of no therapy, medication, and psychological therapies with employee absenteeism over time. Findings revealed psychological therapy exhibited greater efficacy in reducing absenteeism for depression, yielding sustained benefits throughout the episode. Conversely, the effectiveness of depression medications overall had a small short-term and no long-term relationship to absenteeism. These findings have significant implications for employers and employees, potentially leading to improved healthcare benefit offerings with concomitant reductions in employee absenteeism. | |
dc.identifier.citation | Grifno, K., Bao, C., Russell, C. J., & Delen, D. (2025). Relationships Between Clinical Psychological Depression and Employee Absenteeism. Journal of Business Research, 189, 115189. | |
dc.identifier.doi | 10.1016/j.jbusres.2025.115189 | |
dc.identifier.endpage | 16 | |
dc.identifier.issn | 0148-2963 | |
dc.identifier.issn | 1873-7978 | |
dc.identifier.scopus | 2-s2.0-85216124157 | |
dc.identifier.scopusquality | Q1 | |
dc.identifier.startpage | 1 | |
dc.identifier.uri | http://dx.doi.org/10.1016/j.jbusres.2025.115189 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12713/6170 | |
dc.identifier.volume | 189 | |
dc.identifier.wos | WOS:001412168700001 | |
dc.identifier.wosquality | Q1 | |
dc.indekslendigikaynak | Web of Science | |
dc.indekslendigikaynak | Scopus | |
dc.institutionauthor | Delen, Dursun | |
dc.institutionauthorid | Dursun Delen / 0000-0001-8857-5148 | |
dc.language.iso | en | |
dc.publisher | Elsevier inc. | |
dc.relation.ispartof | Journal of business research | |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.subject | Conservation of Resources | |
dc.subject | Data Analytics | |
dc.subject | Depression | |
dc.subject | Employee Absenteeism | |
dc.subject | Psychological Therapy | |
dc.subject | Treatment Efficacy | |
dc.title | Relationships between clinical psychological depression and employee absenteeism: a data analytics approach | |
dc.type | Article |