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Job embeddedness

Job embeddedness is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Job embeddedness rather than just read about it. In short: Job embeddedness is the collection of forces that influence employee retention. It can be distinguished from turnover in that its emphasis is on all of the factors that keep an employee on the job, rather than the psychological process one goes through when quitting.

Key takeaways

  • Job embeddedness belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Job embeddedness to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Job embeddedness from memory before moving on to harder problems.

Reference excerpt

Job embeddedness is the collection of forces that influence employee retention. It can be distinguished from turnover in that its emphasis is on all of the factors that keep an employee on the job, rather than the psychological process one goes through when quitting. The scholars who introduced job embeddedness described the concept as consisting of three key components (links, fit, and sacrifice), each of which are important both on and off the job. Job embeddedness is therefore conceptualized as six dimensions: links, fit, and sacrifice between the employee and organization, and links, fit and sacrifice between the employee and the community.

Theoretical background Job embeddedness was first introduced by Mitchell and colleagues 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.,). Since these scholars suggest traditional models only modestly predict turnover, Mitchell et al. proposed job embeddedness as an alternative model and incorporated "off-the-job" factors (e.g. attachment to family) and other organizational factors (e.g. attachment to working groups) that have also been shown to affect employee retention, but were not included in these traditional models. When creating this alternative model for explaining why employees stay on a job, Mitchell and colleagues drew on research from Lee and Mitchell's unfolding model of turnover. This line of research suggests that many of those who leave a job are a) mostly satisfied with their jobs, b) do not search for an alternative position before leaving, c) and quit due to some sudden off-the-job event. Results of the initial study indicated that job embeddedness predicted both intent to leave and actual turnover, and was a better predictor of voluntary turnover than job satisfaction, organizational commitment, and job search alternatives. Mitchell and colleagues describe job embeddedness as "a net or web in which an individual can become stuck". Those who are highly embedded have many closely connected ties in both the community and the organization. These individuals are more likely to remain at a current job than those who have fewer connections. As mentioned above, job embeddedness as originally introduced is conceptualized as having three components.

Dimensions

Fit Fit is defined as an employee's "perceived compatibility or comfort level" with the organization and surrounding environment. Important components of fit between an employee and the organization include an individual's career goals, personal values, as well as more immediate job-specific factors such as job knowledge, demands, skills, and abilities. In terms of an employee's surrounding environment, components of employee-community fit include weather, location, amenities, political climate, and availability of entertainment options. The better fit one has with the organization and the community, the more embedded one is in the job.

Links A second key aspect of job embeddedness is links, the number of connections (formal or informal) that a person has with the surrounding community and the organization itself. Links between the employee and the organization may include connections with other people or groups in the organization, while community-specific links encompass a broad range of connections. These community-specific connections range from relationships with family members and non-work friends, to other off-the-job social institutions and the physical environment itself. The more links a person has with the organization and community, the more embedded one is in the organization.

Sacrifice The third dimension of job embeddedness, sacrifice, is the "perceived cost of material or psychological benefits that may be forfeited from broken links [with the organization and/or community] by leaving a job". Organizational sacrifices are the loss of colleagues, worthwhile projects, job-related perks, as well as "switching costs" (e.g. the loss of job stability and/or possibility of advancement, accrued eligibility for a pension plan). Community sacrifices might be the loss of a safe, attractive home, desirable neighborhood characteristics, non-work friends, or an easy commute. The sacrifice between an employee and the community is usually more highly associated with job embeddedness if the individual is required to relocate when changing jobs.

Measurement Job embeddedness is primarily assessed using one of two measures, a composite scale developed by the scholars who introduced the concept, and a global measure of job embeddedness. The developers of the composite scale designed the measure to quantify the six dimensions of job embeddedness: fit, sacrifice, and links, both on-the-job and off-the-job. Test administrators report results with an overall score that is the average of the scores for each of six dimensions. The initial composite measure consisted of 48 items thought to represent predictors of an individual's embeddedness on and off the job. The more items endorsed by the examinee, the more embedded the individual is in the job, and higher levels of embeddedness imply a lower likelihood of quitting. A shorter, 21-item composite scale has been used (e.g.,) that similarly predicts voluntary quitting. Most of the items are likert-type items such that the responses indicate the level of agreement or disagreement with the statement. Several fill in the blank and yes/no items are also included. The following table gives a sample item for each of the six dimensions.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Job embeddedness

Start with the simplest possible case. Write down what Job embeddedness claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Job embeddedness before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Job embeddedness ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Job embeddedness

In research
Job embeddedness appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Job embeddedness in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Job embeddedness is common in secondary-school and first-year university syllabi. It links to neighbouring topics Industrial and organizational psychology, Organizational cybernetics, so understanding it makes those chapters shorter.
In everyday life
Look for Job embeddedness outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Job embeddedness in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Job embeddedness means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Job embeddedness out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Job embeddedness in simple terms?

Job embeddedness is the collection of forces that influence employee retention. It can be distinguished from turnover in that its emphasis is on all of the factors that keep an employee on the job, rather than the psychological process one goes through when quitting.

Why does Job embeddedness matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Job embeddedness?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Job embeddedness.

Tags

  • Industrial and organizational psychology
  • Organizational cybernetics

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