語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Measurement of information technolog...
~
Appari, Ajit.
Measurement of information technology investment risks: A multifactor model and its operationalization.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Measurement of information technology investment risks: A multifactor model and its operationalization.
作者:
Appari, Ajit.
面頁冊數:
163 p.
附註:
Source: Dissertation Abstracts International, Volume: 69-08, Section: A, page: 3204.
Contained By:
Dissertation Abstracts International69-08A.
標題:
Business Administration, Management.
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3323035
ISBN:
9780549746119
Measurement of information technology investment risks: A multifactor model and its operationalization.
Appari, Ajit.
Measurement of information technology investment risks: A multifactor model and its operationalization.
- 163 p.
Source: Dissertation Abstracts International, Volume: 69-08, Section: A, page: 3204.
Thesis (Ph.D.)--Syracuse University, 2008.
The measurement of IT risk is one of the least studied areas in the IS risk literature. IS research that apply financial economics models in the broader context of examining the IT risk-return relationship and IT risk management invariably identifies risk measurement as a primary limitation. The present thesis investigates a new approach for closing this critical gap. Building upon a process-theoretic view of how IT value is generated, we propose a generalized framework comprising three elements. One is a multifactor return generating process (RGP) model defining a linear relationship between IT investment returns and the unexpected behavior (realizations) of multiple risk factors. Another element is an operational, prediction-oriented version of the RGP model defining IT return as a linear function of risk premiums associated with risk factors. The last element is a four-step methodology for estimating and validating the risk pricing parameters associated with each risk factor based on the former two elements. Our framework builds on recent theoretical and empirical developments in financial economics research according to which the principles of arbitrage pricing theory (APT) extend to the operationalization of the multifactor RGP in pricing IT investment risk factors. Moreover, observing that relevant data on IT risks and IT returns may come from diverse sources, each having its own unique characteristics, we show how to instantiate our framework in two different empirical contexts. In the first context, focusing on pricing software development risk factors, we apply the principles of APT by using a reference software cost estimation model, to which agents are assumed to subscribe, to substitute for the role of a 'market' in governing the extra cost a software project incurs due to exposure to multiple risk factors. In the second context, focusing on pricing customer adoption risk, market data generated using an event study enable application of the APT model in the context of a single-factor RGP conditioned on firm-specific events targeted by the event study. These two empirical studies effectively demonstrate the viability of applying our proposed risk pricing framework to the IT investment context.
ISBN: 9780549746119Subjects--Topical Terms:
212493
Business Administration, Management.
Measurement of information technology investment risks: A multifactor model and its operationalization.
LDR
:03082nam _2200229 _450
001
206908
005
20090413130058.5
008
090730s2008 ||||||||||||||||| ||eng d
020
$a
9780549746119
035
$a
00372120
040
$a
UMI
$c
UMI
100
$a
Appari, Ajit.
$3
321846
245
1 0
$a
Measurement of information technology investment risks: A multifactor model and its operationalization.
300
$a
163 p.
500
$a
Source: Dissertation Abstracts International, Volume: 69-08, Section: A, page: 3204.
502
$a
Thesis (Ph.D.)--Syracuse University, 2008.
520
$a
The measurement of IT risk is one of the least studied areas in the IS risk literature. IS research that apply financial economics models in the broader context of examining the IT risk-return relationship and IT risk management invariably identifies risk measurement as a primary limitation. The present thesis investigates a new approach for closing this critical gap. Building upon a process-theoretic view of how IT value is generated, we propose a generalized framework comprising three elements. One is a multifactor return generating process (RGP) model defining a linear relationship between IT investment returns and the unexpected behavior (realizations) of multiple risk factors. Another element is an operational, prediction-oriented version of the RGP model defining IT return as a linear function of risk premiums associated with risk factors. The last element is a four-step methodology for estimating and validating the risk pricing parameters associated with each risk factor based on the former two elements. Our framework builds on recent theoretical and empirical developments in financial economics research according to which the principles of arbitrage pricing theory (APT) extend to the operationalization of the multifactor RGP in pricing IT investment risk factors. Moreover, observing that relevant data on IT risks and IT returns may come from diverse sources, each having its own unique characteristics, we show how to instantiate our framework in two different empirical contexts. In the first context, focusing on pricing software development risk factors, we apply the principles of APT by using a reference software cost estimation model, to which agents are assumed to subscribe, to substitute for the role of a 'market' in governing the extra cost a software project incurs due to exposure to multiple risk factors. In the second context, focusing on pricing customer adoption risk, market data generated using an event study enable application of the APT model in the context of a single-factor RGP conditioned on firm-specific events targeted by the event study. These two empirical studies effectively demonstrate the viability of applying our proposed risk pricing framework to the IT investment context.
590
$a
School code: 0659.
650
$a
Business Administration, Management.
$3
212493
690
$a
0454
710
$a
Syracuse University.
$3
212832
773
0
$g
69-08A.
$t
Dissertation Abstracts International
790
$a
0659
791
$a
Ph.D.
792
$a
2008
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3323035
$z
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3323035
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000024339
電子館藏
1圖書
電子書
TH
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3323035
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入