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Van Horn, Carl; Starace, Jessica – John J. Heldrich Center for Workforce Development, 2018
Advanced software, smartphones, the Internet, and cognitive computing have already disrupted the retail, media, transportation, education, and health care industries. Widely different predictions have been offered about the scope of future workforce disruptions. Recent assessments about the impact of artificial intelligence on worker dislocation…
Descriptors: Public Opinion, Work Attitudes, Employment Patterns, Influence of Technology
Perron, Rebecca – AARP, 2011
The graying of the labor force, together with the recession of 2008-2010, has forced employers and prognosticators to take a hard look at workforce preparation, training, and planning. This employer research survey is one component of a larger project that explores the workforce, labor force projections, and employer views on training,…
Descriptors: Labor Force, Aging (Individuals), Employment Projections, Expectation
Friedman, Lee – 1992
This paper outlines the increasing need for low-skilled entry level workers, documents business and industry's response to the resulting labor shortage by tapping the resources of individuals with physical and mental disabilities, and reviews problems in job placement of workers with severe disabilities. The Work Inventory for Severely disAbled…
Descriptors: Adults, Diagnostic Tests, Disabilities, Employment Problems
Hoyt, Kenneth B.; Lester, Juliette N. – 1995
This book reports the results of the third national survey commissioned by the National Career Development Association and the National Occupational Information Coordinating Committee conducted by The Gallup Organization on the career preparation of adults age 18 and older. Interviews were conducted with 471 males and 575 females of whom 348 males…
Descriptors: Academic Achievement, Age Differences, Career Counseling, Career Development