Abstract
Abstract In recent years, information technology (IT) companies have faced fierce competition across dynamic environments; as such, ways of enhancing organizational performance and obtaining competitive advantage through IT investment have become important issues for academia and businesses. Further, time delays between IT investment transfers and actual market performance make measuring the impact of IT investment on market performance more complex. Based on the perspective of long-term, non-linear, closed-loop causality, this study develops a computerized system dynamics model to analyze the dynamic relationships between organizational IT investment strategy and market performance within information-intensive service industries. The results of this study provide several important implications for IT investment management research and practice. The proposed system dynamics model also provides IT managers with a useful decision support tool for evaluating different IT investment strategies.
| Original language | English |
|---|---|
| Article number | 2660 |
| Pages (from-to) | 46-57 |
| Number of pages | 12 |
| Journal | Computers in Industry |
| Volume | 71 |
| DOIs | |
| Publication status | Published - 2015 Aug 1 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Engineering(all)
Cite this
}
Understanding the dynamics between organizational IT investment strategy and market performance : A system dynamics approach. / Liao, Yi Wen; Wang, Yu Min; Wang, Yi-Shun; Tu, Yi Min.
In: Computers in Industry, Vol. 71, 2660, 01.08.2015, p. 46-57.Research output: Contribution to journal › Article
TY - JOUR
T1 - Understanding the dynamics between organizational IT investment strategy and market performance
T2 - A system dynamics approach
AU - Liao, Yi Wen
AU - Wang, Yu Min
AU - Wang, Yi-Shun
AU - Tu, Yi Min
PY - 2015/8/1
Y1 - 2015/8/1
N2 - Abstract In recent years, information technology (IT) companies have faced fierce competition across dynamic environments; as such, ways of enhancing organizational performance and obtaining competitive advantage through IT investment have become important issues for academia and businesses. Further, time delays between IT investment transfers and actual market performance make measuring the impact of IT investment on market performance more complex. Based on the perspective of long-term, non-linear, closed-loop causality, this study develops a computerized system dynamics model to analyze the dynamic relationships between organizational IT investment strategy and market performance within information-intensive service industries. The results of this study provide several important implications for IT investment management research and practice. The proposed system dynamics model also provides IT managers with a useful decision support tool for evaluating different IT investment strategies.
AB - Abstract In recent years, information technology (IT) companies have faced fierce competition across dynamic environments; as such, ways of enhancing organizational performance and obtaining competitive advantage through IT investment have become important issues for academia and businesses. Further, time delays between IT investment transfers and actual market performance make measuring the impact of IT investment on market performance more complex. Based on the perspective of long-term, non-linear, closed-loop causality, this study develops a computerized system dynamics model to analyze the dynamic relationships between organizational IT investment strategy and market performance within information-intensive service industries. The results of this study provide several important implications for IT investment management research and practice. The proposed system dynamics model also provides IT managers with a useful decision support tool for evaluating different IT investment strategies.
UR - http://www.scopus.com/inward/record.url?scp=84929118692&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84929118692&partnerID=8YFLogxK
U2 - 10.1016/j.compind.2015.02.006
DO - 10.1016/j.compind.2015.02.006
M3 - Article
AN - SCOPUS:84929118692
VL - 71
SP - 46
EP - 57
JO - Computers in Industry
JF - Computers in Industry
SN - 0166-3615
M1 - 2660
ER -