Implementation of input-process-output model for measuring information system project success

Measurement of the information system (IS) project success has become the interesting topic for researchers and practitioners since the Standish Group published their findings in 1994. Project success theory is the main concept in this topic, but this theory is still an ambiguous concept and lack in...

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Main Authors:	Subiyakto, A'ang, Ahlan, Abdul Rahman
Format:	Article
Language:	English
Published:	UAD and IAES 2014
Subjects:	T Technology (General) T58.5 Information technology
Online Access:	http://irep.iium.edu.my/37176/ http://irep.iium.edu.my/37176/ http://irep.iium.edu.my/37176/ http://irep.iium.edu.my/37176/1/5699-12716-1-PB.pdf

id	iium-37176
recordtype	eprints
spelling	iium-371762018-06-19T06:57:50Z http://irep.iium.edu.my/37176/ Implementation of input-process-output model for measuring information system project success Subiyakto, A'ang Ahlan, Abdul Rahman T Technology (General) T58.5 Information technology Measurement of the information system (IS) project success has become the interesting topic for researchers and practitioners since the Standish Group published their findings in 1994. Project success theory is the main concept in this topic, but this theory is still an ambiguous concept and lack in agreement among researchers and practitioners. They are also still tending to focus on single or partial dimension. Therefore, they did not get a clear picture of the system measurements. This study developed an alternative model of the project success measurement based on input-process-output (IPO) model. The development was conducted using comparison, adoption, adaptation, and combination the previous theories and models: Davis's IPO model, the project success theories, Delone and McLean' model, and the project classificatory framework. As indicated in most studies that most of models are developed using the previous theories and models rather than on empirical proofs. The result is a IS project success model consisting of 9 variables and 36 relationships among the variables. Although, the model is only a conceptual model, but it was developed completely and coherently considering three main aspects of project success measurement, namely: processional and causal models, project success theories, and the influence concept of project environment. UAD and IAES 2014-07 Article PeerReviewed application/pdf en http://irep.iium.edu.my/37176/1/5699-12716-1-PB.pdf Subiyakto, A'ang and Ahlan, Abdul Rahman (2014) Implementation of input-process-output model for measuring information system project success. TELKOMNIKA Indonesian Journal of Electrical Engineering, 12 (7). pp. 5603-5612. ISSN 2302-4046 http://www.iaesjournal.com/online/index.php/TELKOMNIKA/index DOI: 10.11591/telkomnika.v12i7.5699
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General) T58.5 Information technology
spellingShingle	T Technology (General) T58.5 Information technology Subiyakto, A'ang Ahlan, Abdul Rahman Implementation of input-process-output model for measuring information system project success
description	Measurement of the information system (IS) project success has become the interesting topic for researchers and practitioners since the Standish Group published their findings in 1994. Project success theory is the main concept in this topic, but this theory is still an ambiguous concept and lack in agreement among researchers and practitioners. They are also still tending to focus on single or partial dimension. Therefore, they did not get a clear picture of the system measurements. This study developed an alternative model of the project success measurement based on input-process-output (IPO) model. The development was conducted using comparison, adoption, adaptation, and combination the previous theories and models: Davis's IPO model, the project success theories, Delone and McLean' model, and the project classificatory framework. As indicated in most studies that most of models are developed using the previous theories and models rather than on empirical proofs. The result is a IS project success model consisting of 9 variables and 36 relationships among the variables. Although, the model is only a conceptual model, but it was developed completely and coherently considering three main aspects of project success measurement, namely: processional and causal models, project success theories, and the influence concept of project environment.
format	Article
author	Subiyakto, A'ang Ahlan, Abdul Rahman
author_facet	Subiyakto, A'ang Ahlan, Abdul Rahman
author_sort	Subiyakto, A'ang
title	Implementation of input-process-output model for measuring information system project success
title_short	Implementation of input-process-output model for measuring information system project success
title_full	Implementation of input-process-output model for measuring information system project success
title_fullStr	Implementation of input-process-output model for measuring information system project success
title_full_unstemmed	Implementation of input-process-output model for measuring information system project success
title_sort	implementation of input-process-output model for measuring information system project success
publisher	UAD and IAES
publishDate	2014
url	http://irep.iium.edu.my/37176/ http://irep.iium.edu.my/37176/ http://irep.iium.edu.my/37176/ http://irep.iium.edu.my/37176/1/5699-12716-1-PB.pdf
first_indexed	2023-09-18T20:53:20Z
last_indexed	2023-09-18T20:53:20Z
_version_	1777410140627009536

Implementation of input-process-output model for measuring information system project success

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