Factors Affecting the Metamodelling Acceptance: A Case Study From Software Development Companies in Malaysia

Metamodeling has become a crucial technique in the process of software development. However, the level of metamodeling acceptance is still very low in software development companies. To the best of our knowledge, this paper can be considered as the first that aims to examine the factors that affect...

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Main Authors:	Mezhuyev, Vitaliy, Al-Emran, Mostafa, Murni, Fatehah, Ng, Chin Hong
Format:	Article
Language:	English
Published:	IEEE 2018
Subjects:	Q Science (General) QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/22328/ http://umpir.ump.edu.my/id/eprint/22328/ http://umpir.ump.edu.my/id/eprint/22328/ http://umpir.ump.edu.my/id/eprint/22328/1/Factors%20Affecting%20the%20Metamodelling%20Acceptance.pdf

id	ump-22328
recordtype	eprints
spelling	ump-223282018-10-08T01:35:29Z http://umpir.ump.edu.my/id/eprint/22328/ Factors Affecting the Metamodelling Acceptance: A Case Study From Software Development Companies in Malaysia Mezhuyev, Vitaliy Al-Emran, Mostafa Murni, Fatehah Ng, Chin Hong Q Science (General) QA75 Electronic computers. Computer science Metamodeling has become a crucial technique in the process of software development. However, the level of metamodeling acceptance is still very low in software development companies. To the best of our knowledge, this paper can be considered as the first that aims to examine the factors that affect the metamodeling acceptance by software engineers. To achieve this aim, the technology acceptance model was adopted and extended by adding additional factors, which are the organizational and team-based factor, perceived maturity, and perceived effectiveness. Data were collected from 152 software engineers from different software development companies in Malaysia. SmartPLS was used to conduct the partial least squares-structural equation modeling (PLS-SEM) for assessing the measurement and structural models. The results indicated that perceived usefulness, perceived ease of use, organizational and team-based factor, perceived maturity, and perceived effectiveness have a significant impact on metamodeling acceptance. The R2 was 0.887 for metamodeling acceptance, which indicates that the level of model prediction is relatively substantial. Limitations and prospects for future research are also discussed. IEEE 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22328/1/Factors%20Affecting%20the%20Metamodelling%20Acceptance.pdf Mezhuyev, Vitaliy and Al-Emran, Mostafa and Murni, Fatehah and Ng, Chin Hong (2018) Factors Affecting the Metamodelling Acceptance: A Case Study From Software Development Companies in Malaysia. IEEE Access, 6. 49476- 49485. ISSN 2169-3536 https://doi.org/10.1109/ACCESS.2018.2867559 doi: 10.1109/ACCESS.2018.2867559
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	Q Science (General) QA75 Electronic computers. Computer science
spellingShingle	Q Science (General) QA75 Electronic computers. Computer science Mezhuyev, Vitaliy Al-Emran, Mostafa Murni, Fatehah Ng, Chin Hong Factors Affecting the Metamodelling Acceptance: A Case Study From Software Development Companies in Malaysia
description	Metamodeling has become a crucial technique in the process of software development. However, the level of metamodeling acceptance is still very low in software development companies. To the best of our knowledge, this paper can be considered as the first that aims to examine the factors that affect the metamodeling acceptance by software engineers. To achieve this aim, the technology acceptance model was adopted and extended by adding additional factors, which are the organizational and team-based factor, perceived maturity, and perceived effectiveness. Data were collected from 152 software engineers from different software development companies in Malaysia. SmartPLS was used to conduct the partial least squares-structural equation modeling (PLS-SEM) for assessing the measurement and structural models. The results indicated that perceived usefulness, perceived ease of use, organizational and team-based factor, perceived maturity, and perceived effectiveness have a significant impact on metamodeling acceptance. The R2 was 0.887 for metamodeling acceptance, which indicates that the level of model prediction is relatively substantial. Limitations and prospects for future research are also discussed.
format	Article
author	Mezhuyev, Vitaliy Al-Emran, Mostafa Murni, Fatehah Ng, Chin Hong
author_facet	Mezhuyev, Vitaliy Al-Emran, Mostafa Murni, Fatehah Ng, Chin Hong
author_sort	Mezhuyev, Vitaliy
title	Factors Affecting the Metamodelling Acceptance: A Case Study From Software Development Companies in Malaysia
title_short	Factors Affecting the Metamodelling Acceptance: A Case Study From Software Development Companies in Malaysia
title_full	Factors Affecting the Metamodelling Acceptance: A Case Study From Software Development Companies in Malaysia
title_fullStr	Factors Affecting the Metamodelling Acceptance: A Case Study From Software Development Companies in Malaysia
title_full_unstemmed	Factors Affecting the Metamodelling Acceptance: A Case Study From Software Development Companies in Malaysia
title_sort	factors affecting the metamodelling acceptance: a case study from software development companies in malaysia
publisher	IEEE
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/22328/ http://umpir.ump.edu.my/id/eprint/22328/ http://umpir.ump.edu.my/id/eprint/22328/ http://umpir.ump.edu.my/id/eprint/22328/1/Factors%20Affecting%20the%20Metamodelling%20Acceptance.pdf
first_indexed	2023-09-18T22:33:11Z
last_indexed	2023-09-18T22:33:11Z
_version_	1777416421950619648

Factors Affecting the Metamodelling Acceptance: A Case Study From Software Development Companies in Malaysia

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