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Chapter 10 - Integration with Applicant Tracking and Management Systems

from Part III - Advances, Trends, and Issues

Published online by Cambridge University Press:  18 December 2017

By
Steve Hall  and
Richard T. Cober
Edited by
John C. Scott ,
Dave Bartram  and
Douglas H. Reynolds
John C. Scott
Affiliation:
APT Metrics
Dave Bartram
Affiliation:
CEB-SHL
Douglas H. Reynolds
Affiliation:
Development Dimensions International
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Next Generation Technology-Enhanced Assessment
Global Perspectives on Occupational and Workplace Testing
 , pp. 265 - 287
Publisher: Cambridge University Press
Print publication year: 2017

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References

Barrett, G. V., Phillips, J. S., & Alexander, R. A. (1981). Concurrent and predictive validity designs: A critical reanalysis. Journal of Applied Psychology, 66(1), 6–6.Google Scholar
Bauer, T. N., McCarthy, J. M., Anderson, N., Truxillo, D. M., & Salgado, J. (2012). What we know about applicant reactions on attitudes and behavior: Research summary and best practices. SIOP White Paper Series, Society for Industrial and Organizational Psychology.Google Scholar
Bobko, P., Roth, P. L., & Buster, M. A. (2007). The usefulness of unit weights in creating composite scores: A literature review, application to content validity, and meta-analysis. Organizational Research Methods, 10(4), 689–709.Google Scholar
Breaugh, J. A. (2009). The use of biodata for employee selection: Past research and future directions. Human Resource Management Review, 19(3), 219–231.CrossRefGoogle Scholar
Caligiuri, P., & Paul, K. B. (2010). Selection in multinational organizations. In Farr, J. L. & Tippins, N. T. (Eds.), The handbook of employee selection. New York: Taylor and Francis.Google Scholar
Elkins, T. J., & Philips, J. S. (2000). Job context, selection decision outcome, and the perceived fairness of selection tests: Biodata as an illustrative case. Journal of Applied Psychology, 85(3), 479–484.Google Scholar
Furtmueller, E., Wilderom, C., & Tate, M. (2011). Managing recruitment and selection in the digital age: e-HRM and resumes. Human Systems Management, 30(4), 243–259.Google Scholar
Levashina, J., Hartwell, C. J., Morgeson, F. P., & Campion, M. A. (2014). The structured employment interview: Narrative and quantitative review of the research literature. Personnel Psychology, 67(1), 241–293.CrossRefGoogle Scholar
Lievens, F., Buyse, T., & Sackett, P. R. (2005). Retest effects in operational selection settings: Development and test of a framework. Personnel Psychology, 58(4), 981–1007.CrossRefGoogle Scholar
Manroop, L., Boekhorst, J. A., & Harrison, J. A. (2013). The influence of cross-cultural differences on job interview selection decisions. International Journal of Human Resource Management, 24(18), 3512–3533.Google Scholar
Reynolds, D. H., & Dickter, D. N. (2010). Technology and employee selection. In Farr, J. L. & Tippins, N. T. (Eds.), The handbook of employee selection. New York: Taylor and Francis.Google Scholar
Sackett, P. R., Schmitt, N., Ellingson, J. E., & Kabin, M. B. (2001). High-stakes testing in employment, credentialing, and higher education. American Psychologist, 56(4), 302.CrossRefGoogle ScholarPubMed
Stone, D. L., Deadrick, D. L., Lukaszewski, K. M., & Johnson, R. (2015). The influence of technology on the future of human resource management. Human Resource Management Review, 25(2), 216–231.Google Scholar
Stone, D. L., Lukaszewski, K. M., Stone-Romero, E. F., & Johnson, T. L. (2013). Factors affecting the effectiveness and acceptance of electronic selection systems. Human Resource Management Review, 23(1), 50–70.Google Scholar
Tippins, N. T. (2009). Internet alternatives to traditional proctored testing: Where are we now? Industrial and Organizational Psychology, 2(1), 2–10.CrossRefGoogle Scholar

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