ORCID

N/A

Funder(s)

N/A

Description/Abstract

This study highlights research on common challenges veterans face during their career search, and presents recommendations for meaningful change. The employment needs of veterans can be addressed through cognitive information processing, a career problem solving and decision making theory that involves defining goals, understanding options, ranking options, making a choice, and reflecting on the decided choice. In practice, considering entering the civilian job market after military service can have challenges, and veterans should consider discussing their employment seeking experiences with other veterans who are experiencing similar struggles or who have successfully entered the civilian job market. In practice, the Department of Defense (DoD) might continue its transition assistance programs that introduce many service members to potential career tracks. Suggestions for future study include exploring if cognitive information processing (CIP) is applicable among a larger group of veterans, as well as including veterans of multiple race/ethnic backgrounds, genders, socioeconomic statuses, and educational backgrounds.

Original Citation

Buzzetta, M., Hayden, S. C. W., & Ledwith, K. (2017). Creating hope: assisting veterans with job search strategies using cognitive information processing theory. Journal of Employment Counseling, 54(2), 63-74. https://doi.org/10.1002/joec.12054

Document Type

Brief

Disciplines

Cognitive Behavioral Therapy | Mental and Social Health | Military and Veterans Studies | Public Affairs, Public Policy and Public Administration | Race and Ethnicity | Social and Behavioral Sciences | Sociology

DCMI Type

Text

Keywords

Career development, Veterans, Job search, Cognitive information processing theory, Research reviews, Employment, Research brief

Subject

Job hunting; Career development

Portfolio

Employment and Economic Opportunity

Geographic Area

United States

Publisher

Institute for Veterans and Military Families at Syracuse University

Date

Fall 8-11-2017

Language

English

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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