Master of Labor and Human Resources, The Ohio State University, 2010, Business Administration
This thesis examines the extent to which organizational identification modifies the relationship between some job demands and resources (workload, feedback, supervisory support and organizational support) and workforce engagement level. This study also explores the impact of organizational identification on the relationship between the same job demands and resources (workload, feedback, supervisory support and organizational support) and the workforce burnout level.
By examining these moderating factors, I clarify how factors other than the relationship between the employee and the job, employee and the supervisors, and employee and the organization influence workforce engagement and burnout levels. Thus, this research proposes an extended analysis to comprehend workforce engagement and burnout by presenting their definitions, how they are correlated and what are their antecedents (job demands and resources).
Furthermore, current research indicates that these moderator effects are appropriate. First, highly identified individuals tend to support institutions embodying those identities which may lead to high levels of dedication and absorption - two components of engagement. Second, highly identified individuals are knowledgeable of their membership and express emotional attachment to that membership, which can be compared to three psychological conditions to evaluate engagement level: meaningfulness, safety and availability. Third, social identifies and organizational identification are “relational and comparative” which may alter the impact of job demands on burnout, since employees may evaluate the demands as a source of differentiation.
A questionnaire was administered to employees in 3 different companies with different sizes (small, medium and large – total N = 122), different economic sectors (auto-parts, technology and communication and agriculture), and a five step hierarchical multiple regression analyses conducted to detect main interaction effects.
The (open full item for complete abstract)
Committee: Robert Heneman (Advisor); David Greenberger (Committee Member); Steffanie Wilk (Committee Member)
Subjects: Organizational Behavior