Maximizing the performance and job-related behaviors of contract and permanent IT workers

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Pai, T. (2010). Maximizing the performance and job-related behaviors of contract and permanent IT workers. Unc Charlotte Electronic Theses And Dissertations.
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Abstract

As the use of contracting for Information Technology (IT) services steadily increases, IT managers are challenged with reconciling the need for flexibility achieved through the use of contract workers, with the need to understand the factors that maximize the performance and behaviors of contract and permanent IT workers. While several research studies have focused on motivation factors, they have focused either on environment factors such as jobs, or individual factors such as the need for challenge, versus focusing on both environment and individual factors as joint determinants. Also, studies that have examined motivation factors of contract workers, lack a comparison to permanent workers. To bridge these gaps, this dissertation develops a model that compares not only the job characteristics experienced (environment factor) by contract and permanent IT workers, but also the job characteristics expected and preferred (individual factors) by contract and permanent IT workers. Further, it applies a complementary needs-supplies perspective of Person-Job Fit Theory to predict the effect of the expected-experienced job characteristics fit and the preferred-experienced job characteristics fit on the performance and behaviors of contract and permanent IT workers. A partial least squares structural equation modeling (PLSSEM) approach is utilized to test the effect of fit. The study sheds new light on Person-Job Fit and its ability to affect the performance and behaviors of contract and permanent IT workers, while avoiding the methodological limitations of prior studies in this area.

Details
Author

Pai, Tanusree

Title

Maximizing the performance and job-related behaviors of contract and permanent IT workers

Physical Description

1 online resource (211 pages) : PDF

Date

2010

Degree Granting Institution

University of North Carolina at Charlotte

Abstract

As the use of contracting for Information Technology (IT) services steadily increases, IT managers are challenged with reconciling the need for flexibility achieved through the use of contract workers, with the need to understand the factors that maximize the performance and behaviors of contract and permanent IT workers. While several research studies have focused on motivation factors, they have focused either on environment factors such as jobs, or individual factors such as the need for challenge, versus focusing on both environment and individual factors as joint determinants. Also, studies that have examined motivation factors of contract workers, lack a comparison to permanent workers. To bridge these gaps, this dissertation develops a model that compares not only the job characteristics experienced (environment factor) by contract and permanent IT workers, but also the job characteristics expected and preferred (individual factors) by contract and permanent IT workers. Further, it applies a complementary needs-supplies perspective of Person-Job Fit Theory to predict the effect of the expected-experienced job characteristics fit and the preferred-experienced job characteristics fit on the performance and behaviors of contract and permanent IT workers. A partial least squares structural equation modeling (PLSSEM) approach is utilized to test the effect of fit. The study sheds new light on Person-Job Fit and its ability to affect the performance and behaviors of contract and permanent IT workers, while avoiding the methodological limitations of prior studies in this area.

Genre

doctoral dissertations

Subjects--Topics

Management
Information technology
Animal behavior

Degree

Ph.D.

Keywords

IT Contracting
Job Characteristics
Person-Job Fit
PLS Structural Equation Modeling
Psychological Contracts
Work Motivation

Subject Area

Information Technology

Advisor(s)

Tolone, William
Winter, Susan

Committee Members

Kumar, Ram
Stylianou, Antonis
Maisto, Albert

Degree Note

Thesis (Ph.D.)--University of North Carolina at Charlotte, 2010.

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Rights Holder Information

Copyright is held by the author unless otherwise indicated.

Identifier

Pai_uncc_0694D_10106

Permalink

http://hdl.handle.net/20.500.13093/etd:436