Job analysis : methods, research, and applications for human resource management in the new millennium /

Contributor(s):

Material type: Text

TextPublication details: Los Angeles, Calif. : Sage, 2020.Edition: Third editionDescription: 373 pages; 1 online resourceISBN:

9781544329529

Subject(s):

DDC classification:

REF 658.306 M82

Summary: Job and Work Analysis: Methods, Research, and Applications for Human Resource Management provides students and professionals alike with an in-depth exploration of job analysis. Job analysis encompasses a wide range of crucial topics that help us understand what people do at work and why. This one-of-a-kind text expertly unpacks the best job analysis methods and then illustrates how to apply these methods to solve some of the most common workplace problems. Readers will learn the best practices for helping people work smarter, improving hiring and training, making jobs safer, and providing a satisfying work environment. The new Third Edition includes new references, the latest research findings, and expanded discussions of competency models, teams, and O*NET

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
REFERENCE BOOKS	LAPULAPU-CEBU INTERNATIONAL COLLEGE REFERENCE SECTION	REF 658.306 M82 2020 (Browse shelf(Opens below))	Available		002250

Job and Work Analysis: Methods, Research, and Applications for Human Resource Management provides students and professionals alike with an in-depth exploration of job analysis. Job analysis encompasses a wide range of crucial topics that help us understand what people do at work and why. This one-of-a-kind text expertly unpacks the best job analysis methods and then illustrates how to apply these methods to solve some of the most common workplace problems. Readers will learn the best practices for helping people work smarter, improving hiring and training, making jobs safer, and providing a satisfying work environment. The new Third Edition includes new references, the latest research findings, and expanded discussions of competency models, teams, and O*NET

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