A CONTENT-ANALYTIC LONGITUDINAL STUDY OF THE DRIVERS FOR INFORMATION TECHNOLOGY AND SYSTEMS OUTSOURCING1

Jahyun Goo; Rajiv Kishore; H. Raghav Rao

A CONTENT-ANALYTIC LONGITUDINAL STUDY OF THE DRIVERS FOR INFORMATION TECHNOLOGY AND SYSTEMS OUTSOURCING¹

Management Science and Systems

SUNY Buffalo

Research output: Contribution to conference › Paper › peer-review

30 Scopus citations

Abstract

This research addresses the question, what are the key drivers for information technology and systems (ITS) outsourcing? ITS outsourcing drivers are examined in this research in light of several underlying organizational and economic theories in order to generate a comprehensive and enduring ITS outsourcing drivers taxonomy. A preliminary taxonomy has been developed using qualitative content analysis of 49 articles, which has been triangulated using an internal/external drivers model developed from systems-theoretic notions. Quantitative content analysis technique is being used to analyze outsourcing reports publicly available in the PR Newswire database published over the last 11 years to further develop the ITS outsourcing drivers taxonomy.

Original language	English
Pages	601-611
Number of pages	11
State	Published - 2000
Event	21st International Conference on Information Systems, ICIS 2000 - Brisbane, Australia Duration: Dec 10 2000 → Dec 13 2000

Conference

Conference	21st International Conference on Information Systems, ICIS 2000
Country/Territory	Australia
City	Brisbane
Period	12/10/00 → 12/13/00

Cite this

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title = "A CONTENT-ANALYTIC LONGITUDINAL STUDY OF THE DRIVERS FOR INFORMATION TECHNOLOGY AND SYSTEMS OUTSOURCING1",

abstract = "This research addresses the question, what are the key drivers for information technology and systems (ITS) outsourcing? ITS outsourcing drivers are examined in this research in light of several underlying organizational and economic theories in order to generate a comprehensive and enduring ITS outsourcing drivers taxonomy. A preliminary taxonomy has been developed using qualitative content analysis of 49 articles, which has been triangulated using an internal/external drivers model developed from systems-theoretic notions. Quantitative content analysis technique is being used to analyze outsourcing reports publicly available in the PR Newswire database published over the last 11 years to further develop the ITS outsourcing drivers taxonomy.",

author = "Jahyun Goo and Rajiv Kishore and Rao, \{H. Raghav\}",

note = "Publisher Copyright: {\textcopyright} 2000, Association for Information Systems. All rights reserved.; 21st International Conference on Information Systems, ICIS 2000 ; Conference date: 10-12-2000 Through 13-12-2000",

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AU - Kishore, Rajiv

AU - Rao, H. Raghav

PY - 2000

Y1 - 2000

N2 - This research addresses the question, what are the key drivers for information technology and systems (ITS) outsourcing? ITS outsourcing drivers are examined in this research in light of several underlying organizational and economic theories in order to generate a comprehensive and enduring ITS outsourcing drivers taxonomy. A preliminary taxonomy has been developed using qualitative content analysis of 49 articles, which has been triangulated using an internal/external drivers model developed from systems-theoretic notions. Quantitative content analysis technique is being used to analyze outsourcing reports publicly available in the PR Newswire database published over the last 11 years to further develop the ITS outsourcing drivers taxonomy.

AB - This research addresses the question, what are the key drivers for information technology and systems (ITS) outsourcing? ITS outsourcing drivers are examined in this research in light of several underlying organizational and economic theories in order to generate a comprehensive and enduring ITS outsourcing drivers taxonomy. A preliminary taxonomy has been developed using qualitative content analysis of 49 articles, which has been triangulated using an internal/external drivers model developed from systems-theoretic notions. Quantitative content analysis technique is being used to analyze outsourcing reports publicly available in the PR Newswire database published over the last 11 years to further develop the ITS outsourcing drivers taxonomy.

UR - https://www.scopus.com/pages/publications/85138687950

M3 - Paper

AN - SCOPUS:85138687950

SP - 601

EP - 611

T2 - 21st International Conference on Information Systems, ICIS 2000

Y2 - 10 December 2000 through 13 December 2000

ER -

A CONTENT-ANALYTIC LONGITUDINAL STUDY OF THE DRIVERS FOR INFORMATION TECHNOLOGY AND SYSTEMS OUTSOURCING¹

Abstract

Conference

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