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Job security is the probability that an individual will keep their job; a job with a high level of security is such that a person with the job would have a small chance of losing it. Many factors threaten job security: globalization, outsourcing, downsizing, recession, and new technology, to name a few.
Job embeddedness was first introduced by Mitchell and colleagues [1] in an effort to improve traditional employee turnover models. According to these models, factors such as job satisfaction and organizational commitment and the individual's perception of job alternatives together predict an employee's intent to leave and subsequently, turnover (e.g., [4] [5] [6] [7]).
Quality of working life (QWL) describes a person's broader employment-related experience.Various authors and researchers have proposed models of quality of working life – also referred to as quality of worklife – which include a wide range of factors, sometimes classified as "motivator factors" which if present can make the job experience a positive one, and "hygiene factors" which if ...
JobScan is a measurement instrument which defines the personality dynamics within a specific type of job. [14] By collecting PDP ProScan Survey results of actual performers and results of job dynamics analysis surveys completed by knowledgeable people related to a specific job, JobScan provides a suggested ideal job model for that position ...
The first is an input-output model (I/O model) for analyzing the regional economy. These models rely on inter-industry data to determine how effects in one industry will impact other sectors. In addition, I/O models also estimate the share of each industry's purchases that are supplied by local firms (versus those outside the study area).
Evidence for the dual process: a number of studies have supported the dual pathways to employee well being proposed by the JD-R model. It has been shown that the model can predict important organizational outcomes (e.g. [9] [10] [3] Taken together, research findings support the JD-R model's claim that job demands and job resources initiate two different psychological processes, which ...
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Data envelopment analysis (DEA) is a nonparametric method in operations research and economics for the estimation of production frontiers. [1] DEA has been applied in a large range of fields including international banking, economic sustainability, police department operations, and logistical applications [2] [3] [4] Additionally, DEA has been used to assess the performance of natural language ...