Factors That Affect Spatial Data Sharing in Malaysia
This paper examines the phenomena of the local government’s inadequate reaction to the national programme of geographical infrastructure for the effective sharing of spatial data in Malaysia. We investigate the determinants of sharing data for Malaysia’s spatial data infrastructure (SDI) and aim to...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/11/8/446 |
| _version_ | 1797409883869413376 |
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| author | Qasim Hamakhurshid Hamamurad Normal Mat Jusoh Uznir Ujang |
| author_facet | Qasim Hamakhurshid Hamamurad Normal Mat Jusoh Uznir Ujang |
| author_sort | Qasim Hamakhurshid Hamamurad |
| collection | DOAJ |
| description | This paper examines the phenomena of the local government’s inadequate reaction to the national programme of geographical infrastructure for the effective sharing of spatial data in Malaysia. We investigate the determinants of sharing data for Malaysia’s spatial data infrastructure (SDI) and aim to define the model for spatial data-sharing of Malaysia’s local SDI. The main contribution of this paper is an explanation of the novel methodology to study factors that affect spatial data sharing including a new qualitative analysis method through an interview with people concerned in this field, including engineers, technicians and academics, which was undertaken in Kuala Lumpur, and a new methodology to identify the necessary approach that affects spatial data sharing. An interview and a questionnaire were used in this study as part of a sequential exploratory approach. Among land use, Plan Malaysia, and Telekom Malaysia Berhad TMOne, 15 participants were interviewed in-depth to obtain their responses, and 83 individuals took part in the survey questionnaires. Interview data were measured by content analysis, while questionnaire data were measured by partial least squares analysis. In the structural model analysis, Smart PLS was used to choose the fit items based on validity and reliability measurements. According to the hypothesis measurement, technology and organisation both significantly affect the practice of spatial data sharing, but human resources and spatial data do not significantly affect it. All R-Squared values represent a value above 56 per cent for the human resource aspect, technology aspect and spatial data aspect. However, the R-Square value for spatial data sharing is 47%. Spatial data and human resources have a less substantial impact on spatial data sharing; hence, this study proposes a national awareness programme and mentoring to improve local SDI support for spatial data sharing. |
| first_indexed | 2024-03-09T04:21:59Z |
| format | Article |
| id | doaj.art-6d231bb3113843e999635378b3ff8790 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-09T04:21:59Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-6d231bb3113843e999635378b3ff87902023-12-03T13:46:29ZengMDPI AGISPRS International Journal of Geo-Information2220-99642022-08-0111844610.3390/ijgi11080446Factors That Affect Spatial Data Sharing in MalaysiaQasim Hamakhurshid Hamamurad0Normal Mat Jusoh1Uznir Ujang2Information System, AHIBS, Universiti Teknologi Malaysia, Johor Bahru 81310, Johor, MalaysiaInformation System, AHIBS, Universiti Teknologi Malaysia, Kuala Lumpur 54100, MalaysiaGeoinformation, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, Johor Bahru 81310, Johor, MalaysiaThis paper examines the phenomena of the local government’s inadequate reaction to the national programme of geographical infrastructure for the effective sharing of spatial data in Malaysia. We investigate the determinants of sharing data for Malaysia’s spatial data infrastructure (SDI) and aim to define the model for spatial data-sharing of Malaysia’s local SDI. The main contribution of this paper is an explanation of the novel methodology to study factors that affect spatial data sharing including a new qualitative analysis method through an interview with people concerned in this field, including engineers, technicians and academics, which was undertaken in Kuala Lumpur, and a new methodology to identify the necessary approach that affects spatial data sharing. An interview and a questionnaire were used in this study as part of a sequential exploratory approach. Among land use, Plan Malaysia, and Telekom Malaysia Berhad TMOne, 15 participants were interviewed in-depth to obtain their responses, and 83 individuals took part in the survey questionnaires. Interview data were measured by content analysis, while questionnaire data were measured by partial least squares analysis. In the structural model analysis, Smart PLS was used to choose the fit items based on validity and reliability measurements. According to the hypothesis measurement, technology and organisation both significantly affect the practice of spatial data sharing, but human resources and spatial data do not significantly affect it. All R-Squared values represent a value above 56 per cent for the human resource aspect, technology aspect and spatial data aspect. However, the R-Square value for spatial data sharing is 47%. Spatial data and human resources have a less substantial impact on spatial data sharing; hence, this study proposes a national awareness programme and mentoring to improve local SDI support for spatial data sharing.https://www.mdpi.com/2220-9964/11/8/446geospatialdata sharingspatial data infrastructure (SDI)urbanpartial least square (PLS) |
| spellingShingle | Qasim Hamakhurshid Hamamurad Normal Mat Jusoh Uznir Ujang Factors That Affect Spatial Data Sharing in Malaysia ISPRS International Journal of Geo-Information geospatial data sharing spatial data infrastructure (SDI) urban partial least square (PLS) |
| title | Factors That Affect Spatial Data Sharing in Malaysia |
| title_full | Factors That Affect Spatial Data Sharing in Malaysia |
| title_fullStr | Factors That Affect Spatial Data Sharing in Malaysia |
| title_full_unstemmed | Factors That Affect Spatial Data Sharing in Malaysia |
| title_short | Factors That Affect Spatial Data Sharing in Malaysia |
| title_sort | factors that affect spatial data sharing in malaysia |
| topic | geospatial data sharing spatial data infrastructure (SDI) urban partial least square (PLS) |
| url | https://www.mdpi.com/2220-9964/11/8/446 |
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