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Crowdsourcing Job Satisfaction Data: Examining The Construct Validity Of Glassdoor.Com Ratings, Richard N. Landers, Robert C. Brusso, Elena M. Auer
Crowdsourcing Job Satisfaction Data: Examining The Construct Validity Of Glassdoor.Com Ratings, Richard N. Landers, Robert C. Brusso, Elena M. Auer
Personnel Assessment and Decisions
Researchers, practitioners, and job seekers now routinely use crowdsourced data about organizations for both decision-making and research purposes. Despite the popularity of such websites, empirical evidence regarding their validity is generally absent. In this study, we tackled this problem by combining two curated datasets: (a) the results of the 2017 Federal Employee Viewpoint Survey (FEVS), which contains facet-level job satisfaction ratings from 407,789 US federal employees, and which we aggregated to the agency level, and (b) current overall and facet ratings of job satisfaction of the federal agencies contained within FEVS from Glassdoor.com as scraped from the Glassdoor application programming …
An Interrogation Of Turnover Antecedents At An Automobile Manufacturer In Northwest Ohio, Emily Boyle
An Interrogation Of Turnover Antecedents At An Automobile Manufacturer In Northwest Ohio, Emily Boyle
Honors Projects
The manufacturing industry is one of the largest industries in Northwest Ohio. With the growing influence of Lean/Six Sigma manufacturing systems, the industry is becoming much more automated and team-oriented. The manufacturing facility in question is a Tier 1 and 2 automotive manufacturer that is a part of one of the largest global companies in this sector and uses many Lean and Six Sigma processes across three shifts. In recent years, this company has seen a trend of high turnover and it is a constant point of contention for both supervisors and Human Resources. The current study aimed to determine …