Heterogeneous agent-enabled decision system for evaluating Green IT performance in industrial environments

This article implements heterogeneous agent-enabled decision systems that provide a Green IT nomenclature to be implemented by IT practitioners in an industrial environment. Moreover, the system evaluates and ranks the current Green IT performance in an industrial environment. Data was collected usi...

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Main Authors:	Bokolo, Anthony Jnr, Mazlina, Abdul Majid, Awanis, Romli
Format:	Article
Language:	English
Published:	Taylor & Francis 2018
Subjects:	H Social Sciences (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/21570/ http://umpir.ump.edu.my/id/eprint/21570/ http://umpir.ump.edu.my/id/eprint/21570/ http://umpir.ump.edu.my/id/eprint/21570/1/6.pdf

id	ump-21570
recordtype	eprints
spelling	ump-215702018-09-12T07:55:42Z http://umpir.ump.edu.my/id/eprint/21570/ Heterogeneous agent-enabled decision system for evaluating Green IT performance in industrial environments Bokolo, Anthony Jnr Mazlina, Abdul Majid Awanis, Romli H Social Sciences (General) This article implements heterogeneous agent-enabled decision systems that provide a Green IT nomenclature to be implemented by IT practitioners in an industrial environment. Moreover, the system evaluates and ranks the current Green IT performance in an industrial environment. Data was collected using questionnaire from selected industries in Malaysia and analyzed using Statistical Package for Social Science (SPSS) by applying descriptive and factor analysis to test the usability of the agentbased evaluating system. Respectively, ﬁndings from this study indicate that the heterogeneous agents facilitate decision-making of IT practitioners by providing information on how they improve their current Green IT practice towards addressing environmental issues. Besides, the system reduces the time and cost of Green IT practice implementation by capturing, retaining and reusing past knowledge for improved decisionmaking. Practically, the system provides decision support by providing best-practice recommendations to IT practitioners on Green IT nomenclature to be implemented in their industrial operations. Taylor & Francis 2018-01-29 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/21570/1/6.pdf Bokolo, Anthony Jnr and Mazlina, Abdul Majid and Awanis, Romli (2018) Heterogeneous agent-enabled decision system for evaluating Green IT performance in industrial environments. Journal of Decision Systems, 27 (1). pp. 37-62. ISSN 1246-0125 https://doi.org/10.1080/12460125.2018.1490550 10.1080/12460125.2018.1490550
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	H Social Sciences (General)
spellingShingle	H Social Sciences (General) Bokolo, Anthony Jnr Mazlina, Abdul Majid Awanis, Romli Heterogeneous agent-enabled decision system for evaluating Green IT performance in industrial environments
description	This article implements heterogeneous agent-enabled decision systems that provide a Green IT nomenclature to be implemented by IT practitioners in an industrial environment. Moreover, the system evaluates and ranks the current Green IT performance in an industrial environment. Data was collected using questionnaire from selected industries in Malaysia and analyzed using Statistical Package for Social Science (SPSS) by applying descriptive and factor analysis to test the usability of the agentbased evaluating system. Respectively, ﬁndings from this study indicate that the heterogeneous agents facilitate decision-making of IT practitioners by providing information on how they improve their current Green IT practice towards addressing environmental issues. Besides, the system reduces the time and cost of Green IT practice implementation by capturing, retaining and reusing past knowledge for improved decisionmaking. Practically, the system provides decision support by providing best-practice recommendations to IT practitioners on Green IT nomenclature to be implemented in their industrial operations.
format	Article
author	Bokolo, Anthony Jnr Mazlina, Abdul Majid Awanis, Romli
author_facet	Bokolo, Anthony Jnr Mazlina, Abdul Majid Awanis, Romli
author_sort	Bokolo, Anthony Jnr
title	Heterogeneous agent-enabled decision system for evaluating Green IT performance in industrial environments
title_short	Heterogeneous agent-enabled decision system for evaluating Green IT performance in industrial environments
title_full	Heterogeneous agent-enabled decision system for evaluating Green IT performance in industrial environments
title_fullStr	Heterogeneous agent-enabled decision system for evaluating Green IT performance in industrial environments
title_full_unstemmed	Heterogeneous agent-enabled decision system for evaluating Green IT performance in industrial environments
title_sort	heterogeneous agent-enabled decision system for evaluating green it performance in industrial environments
publisher	Taylor & Francis
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/21570/ http://umpir.ump.edu.my/id/eprint/21570/ http://umpir.ump.edu.my/id/eprint/21570/ http://umpir.ump.edu.my/id/eprint/21570/1/6.pdf
first_indexed	2023-09-18T22:31:42Z
last_indexed	2023-09-18T22:31:42Z
_version_	1777416328945074176

Heterogeneous agent-enabled decision system for evaluating Green IT performance in industrial environments

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