Chad Van Iddekinge, John Arnold, Rachel Frieder, and Philip Roth find that the criteria organizations currently use to screen job applicants generally are poor predictors of future performance. This is because previous employment says nothing about how well applicants performed there nor does past experience in one organisation translate into effective performance in another.

The use of job experience in hiring decisions is ubiquitous. For example, a recent analysis of online job ads showed that over 80 per cent of the ads stated that experience was required or preferred, even for many entry-level jobs. Examples of the types of experience organisations require or prefer include years of previous work, number of previous jobs held, and whether applicants possess experience in the type of job to which they are applying. Organisations assess experience using resumes and applications, as well as during job interviews. Thus, it appears that many human resources (HR) professionals and hiring managers believe it is important that job applicants possess experience.

Past research studies have found a moderate relationship between experience and job performance. These studies typically focused on the amount of time employees have spent in their current job or organisation and as it relates to job performance in the current job. Unfortunately, these studies suffer from a major limitation: they do not measure pre-hire work experience: experience applicants have acquired in other organisations. So, research that relates current experience to job performance does not address the type of pre-hire experiences recruiters and decision-makers must assess when they evaluate job applicants. Thus, our research focuses on pre-hire work experience to understand the issues facing decision-makers.

We used meta-analysis to combine the results of a large number of previous studies on pre-hire experience by reviewing over 1,500 studies (including journal articles, doctoral dissertations, and convention papers) for potential inclusion.

We examined the relationship between pre-hire experience and several outcomes that may be of concern to organisations: job performance, training performance, and turnover. First, we found 44 studies that reported a correlation between the amount or type of experience employees possessed prior to entering an organisation and performance in their current job (e.g., as evaluated by their supervisors). The relationship between the two variables was quite weak. Second, some organisations may be interested in predicting how applicants will perform in long-term training required for particular positions (e.g., law enforcement). We found 21 studies that correlated pre-hire work experience and training performance. This relationship also was weak. Third, we found 32 studies that related pre-hire work experience to future turnover, and found the relationship was essentially zero. That is, there was no relationship between amount of pre-hire work experience and whether employees stay with or leave their new organisation. Overall, our results suggested that pre-hire experience is a poor predictor of outcomes that concern many organisations.

One potential reason for the weak relationships is that most measures of pre-hire work experience do not focus on the quality of the experience. That is, simply being in a job in a previous organisation says nothing about how well applicants performed that job. In addition, experience in one organisation may not always translate into effective performance in another organisation that has a different culture, values, or ways of doing things. Even the same job (or job title) can differ substantially across organisations.

These findings have important implications for HR professionals and hiring managers. Because pre-hire work experience is a poor predictor of future performance, organisations are probably eliminating applicants who would perform well if hired (nor are they effectively screening out future poor performers). Thus, organisations might want to reduce their dependence on these measures and consider selection procedures that possess a better track record of correlating with job performance. Cognitive ability tests, structured interviews, situational judgment tests, and college grade point average are relatively better predictors of future job performance. The weak relationships between pre-hire work experience and outcomes also leaves organisations open to adverse impact/discrimination claims. For example, if applicants of certain protected groups (e.g., females, racial minorities, disabled individuals) possess fewer opportunities to gain pre-hire work experience, they might be less likely to be hired. If so, the weak relationship between pre-hire work experience and performance on the job would make it difficult for organisations to legally defend their hiring decisions.

Overall, the results of our research suggest that pre-hire work experience does not tend to be a good indicator of how job applicants will perform during training or on the job, nor does pre-hire work experience predict retention. Consequently, HR professionals and hiring managers may want to rethink their use of this commonly used hiring/screening assessment.


Note: the above was first published on LSE Business Review and draws on the authors’ published work in Personnel Psychology.

About the Authors

Chad Van Iddekinge is the Bank of America professor of management at The Florida State University, where he directs the organisational behaviour and human resources doctoral program.



John D. Arnold is a doctoral candidate in organisational behaviour and human resources management at Florida State University and holds an MBA from the University of Georgia.



Rachel E. Frieder is an assistant professor of management within the University of North Florida’s Coggin College of Business.



Philip Roth is Trevillian distinguished professor of management at Clemson University.



All articles posted on this blog give the views of the author(s), and not the position of LSE British Politics and Policy, nor of the London School of Economics and Political Science. Featured image credit: Pixabay (Public Domain).

Print Friendly, PDF & Email