A Case Based Reasoning Decision Support Model for Green ITIS Diffusion in Collaborative Enterprise
The change in climatic conditions has resulted to the decline of the environment and excess consumption of resources have put more pressure on IT practitioners to Green their business process in collaborative enterprise. Thus there is need to reduce environmental impacts of enterprise development li...
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| Format: | Conference or Workshop Item |
| Language: | English English |
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IEEE
2017
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| Online Access: | http://umpir.ump.edu.my/id/eprint/13438/1/A%20Case%20Based%20Reasoning%20Decision%20Support%20Model%20for%20Green%20ITIS%20Diffusion%20in%20Collaborative%20Enterprise.pdf http://umpir.ump.edu.my/id/eprint/13438/7/fskkp-2017-mazlina-case%20based%20reasoning%20decision1.pdf |
| _version_ | 1796991381518942208 |
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| author | Jnr, Bokolo Anthony Mazlina, Abdul Majid Awanis, Romli |
| author_facet | Jnr, Bokolo Anthony Mazlina, Abdul Majid Awanis, Romli |
| author_sort | Jnr, Bokolo Anthony |
| collection | UMP |
| description | The change in climatic conditions has resulted to the decline of the environment and excess consumption of resources have put more pressure on IT practitioners to Green their business process in collaborative enterprise. Thus there is need to reduce environmental impacts of enterprise development life cycle. IT practitioners however, still face challenges in diffusion Green practices in their enterprise. They often implement new projects with different project requirements and characteristics. Therefore, it would be helpful if IT practitioners could refer to other similar Green cases when planning and implementing current projects. Thus this paper proposes a case based reasoning decision support model to provide case studies of similar Green cases projects and suggestions on how to diffuse sustainable practices in collaborative enterprise. The model can support IT practitioners in making decisions on Green practices that can be diffused in their enterprise process. This paper synthesis and extract secondary data from existing Green techniques and available Green tools. Our findings show that no tools or techniques have been proposed to cater these issues in collaborative enterprise domain. Thus the proposed model is a valuable tool for IT practitioners in collaborative enterprise. |
| first_indexed | 2024-03-06T12:04:38Z |
| format | Conference or Workshop Item |
| id | UMPir13438 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T12:04:38Z |
| publishDate | 2017 |
| publisher | IEEE |
| record_format | dspace |
| spelling | UMPir134382018-02-28T01:09:52Z http://umpir.ump.edu.my/id/eprint/13438/ A Case Based Reasoning Decision Support Model for Green ITIS Diffusion in Collaborative Enterprise Jnr, Bokolo Anthony Mazlina, Abdul Majid Awanis, Romli QA76 Computer software The change in climatic conditions has resulted to the decline of the environment and excess consumption of resources have put more pressure on IT practitioners to Green their business process in collaborative enterprise. Thus there is need to reduce environmental impacts of enterprise development life cycle. IT practitioners however, still face challenges in diffusion Green practices in their enterprise. They often implement new projects with different project requirements and characteristics. Therefore, it would be helpful if IT practitioners could refer to other similar Green cases when planning and implementing current projects. Thus this paper proposes a case based reasoning decision support model to provide case studies of similar Green cases projects and suggestions on how to diffuse sustainable practices in collaborative enterprise. The model can support IT practitioners in making decisions on Green practices that can be diffused in their enterprise process. This paper synthesis and extract secondary data from existing Green techniques and available Green tools. Our findings show that no tools or techniques have been proposed to cater these issues in collaborative enterprise domain. Thus the proposed model is a valuable tool for IT practitioners in collaborative enterprise. IEEE 2017-05 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/13438/1/A%20Case%20Based%20Reasoning%20Decision%20Support%20Model%20for%20Green%20ITIS%20Diffusion%20in%20Collaborative%20Enterprise.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/13438/7/fskkp-2017-mazlina-case%20based%20reasoning%20decision1.pdf Jnr, Bokolo Anthony and Mazlina, Abdul Majid and Awanis, Romli (2017) A Case Based Reasoning Decision Support Model for Green ITIS Diffusion in Collaborative Enterprise. In: IEEE Conference on Open Systems (ICOS 2016) , 10-12 October 2016 , Langkawi, Malaysia. pp. 1-6.. ISBN 978-1-5090-2603-6 https://doi.org/10.1109/ICOS.2016.7881979 DOI: 10.1007/s40430-016-0549-z |
| spellingShingle | QA76 Computer software Jnr, Bokolo Anthony Mazlina, Abdul Majid Awanis, Romli A Case Based Reasoning Decision Support Model for Green ITIS Diffusion in Collaborative Enterprise |
| title | A Case Based Reasoning Decision Support Model for Green ITIS Diffusion in Collaborative Enterprise |
| title_full | A Case Based Reasoning Decision Support Model for Green ITIS Diffusion in Collaborative Enterprise |
| title_fullStr | A Case Based Reasoning Decision Support Model for Green ITIS Diffusion in Collaborative Enterprise |
| title_full_unstemmed | A Case Based Reasoning Decision Support Model for Green ITIS Diffusion in Collaborative Enterprise |
| title_short | A Case Based Reasoning Decision Support Model for Green ITIS Diffusion in Collaborative Enterprise |
| title_sort | case based reasoning decision support model for green itis diffusion in collaborative enterprise |
| topic | QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/13438/1/A%20Case%20Based%20Reasoning%20Decision%20Support%20Model%20for%20Green%20ITIS%20Diffusion%20in%20Collaborative%20Enterprise.pdf http://umpir.ump.edu.my/id/eprint/13438/7/fskkp-2017-mazlina-case%20based%20reasoning%20decision1.pdf |
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