A content validity study for big data analytics implementation model
Despite the vast investigations that had assessed the capabilities of big data analytics (BDA), studies regarding the influential factors of BDA implementation (BDAI) are in scarcity, particularly within the organisational context. The paucity of studies on BDAI evaluation has partly motivated this...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2019
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| Online Access: | http://psasir.upm.edu.my/id/eprint/78062/1/A%20content%20validity%20study%20for%20big%20data%20analytics%20implementation%20model.pdf |
| _version_ | 1825950961926930432 |
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| author | Adrian, Cecilia Abdullah, Rusli Jusoh, Yusmadi Yah Atan, Rodziah |
| author_facet | Adrian, Cecilia Abdullah, Rusli Jusoh, Yusmadi Yah Atan, Rodziah |
| author_sort | Adrian, Cecilia |
| collection | UPM |
| description | Despite the vast investigations that had assessed the capabilities of big data analytics (BDA), studies regarding the influential factors of BDA implementation (BDAI) are in scarcity, particularly within the organisational context. The paucity of studies on BDAI evaluation has partly motivated this study. As such, this study performed content validation in developing a BDAI model. Validation of survey instrument is essential in a quantitative research. Data were retrieved from a panel of seven big data experts, both from industries and academic. Next, the scores were analysed by incorporating item-content validity index (I-CVI) and modified kappa (K) statistics. From a set of 64 items, the content validity process discarded 9 items and retained 55 items, with the revised items proceeded for further analysis. This particular content validity study revealed that the assessed instrument can be used to develop a viable level of content validity. This study may serve as a guide amidst Information Systems (IS) researchers, especially the big data domain in devising valid and reliable instruments. |
| first_indexed | 2024-03-06T10:22:37Z |
| format | Conference or Workshop Item |
| id | upm.eprints-78062 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T10:22:37Z |
| publishDate | 2019 |
| publisher | IEEE |
| record_format | dspace |
| spelling | upm.eprints-780622020-06-02T03:08:51Z http://psasir.upm.edu.my/id/eprint/78062/ A content validity study for big data analytics implementation model Adrian, Cecilia Abdullah, Rusli Jusoh, Yusmadi Yah Atan, Rodziah Despite the vast investigations that had assessed the capabilities of big data analytics (BDA), studies regarding the influential factors of BDA implementation (BDAI) are in scarcity, particularly within the organisational context. The paucity of studies on BDAI evaluation has partly motivated this study. As such, this study performed content validation in developing a BDAI model. Validation of survey instrument is essential in a quantitative research. Data were retrieved from a panel of seven big data experts, both from industries and academic. Next, the scores were analysed by incorporating item-content validity index (I-CVI) and modified kappa (K) statistics. From a set of 64 items, the content validity process discarded 9 items and retained 55 items, with the revised items proceeded for further analysis. This particular content validity study revealed that the assessed instrument can be used to develop a viable level of content validity. This study may serve as a guide amidst Information Systems (IS) researchers, especially the big data domain in devising valid and reliable instruments. IEEE 2019 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/78062/1/A%20content%20validity%20study%20for%20big%20data%20analytics%20implementation%20model.pdf Adrian, Cecilia and Abdullah, Rusli and Jusoh, Yusmadi Yah and Atan, Rodziah (2019) A content validity study for big data analytics implementation model. In: 6th International Conference on Research and Innovation in Information Systems (ICRIIS 2019), 2-3 Dec. 2019, DoubleTree by Hilton, Johor Bahru, Malaysia. . 10.1109/ICRIIS48246.2019.9073675 |
| spellingShingle | Adrian, Cecilia Abdullah, Rusli Jusoh, Yusmadi Yah Atan, Rodziah A content validity study for big data analytics implementation model |
| title | A content validity study for big data analytics implementation model |
| title_full | A content validity study for big data analytics implementation model |
| title_fullStr | A content validity study for big data analytics implementation model |
| title_full_unstemmed | A content validity study for big data analytics implementation model |
| title_short | A content validity study for big data analytics implementation model |
| title_sort | content validity study for big data analytics implementation model |
| url | http://psasir.upm.edu.my/id/eprint/78062/1/A%20content%20validity%20study%20for%20big%20data%20analytics%20implementation%20model.pdf |
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