Factors influencing integrated information management
Spatial data infrastructure in Pakistan
Bibliographic Data
| ID | 21500922 |
|---|---|
| Authors | Asmat Ali (0000-0002-1987-0466, PMAS Arid Agriculture University), Muhammad Imran (0000-0002-9633-1925, PMAS Arid Agriculture University, corresponding author), Munazza Jabeen (0000-0002-3035-3136, Allama Iqbal Open University, Islamabad), Zahir Ali (0000-0003-3252-9884, Institute of Space Technology), Syed Amer Mahmood (0000-0003-3848-3282, University of the Punjab) |
| Year | 2023 |
| Volume | 39 |
| Issue | 2 |
| Pages | 213-234 |
| Publication date | 2023-06-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Information Development (JOURNAL) |
| Journal identifiers | ISSN: 0266-6669 • E-ISSN: 1741-6469 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/02666669211048483 |
| OpenAlex | W3210104472 |
| Language | EN |
| Citations received | 6 |
| References cited | 55 |
Spatial data is one of the core components in all information retrieval processes for decision-making. Spatial data acquisition consumes enormous monetary resources and time. The Integrated Geospatial Information Framework (IGIF) provides a basis and guide for developing, integrating, strengthening, and maximizing geospatial information management and related resources in all countries. To this, governments all over the world are establishing national spatial data infrastructures (SDIs). However, such initiatives face a considerable amount of resistance as organizations often do not want to share their data assets. The present study investigates these barriers in the establishment of national SDI in Pakistan. The constraints studied through the IGIF pathways and past studies were adapted via a pilot study and conceptualized in a hypothesized model. We collected primary data via the administration of 520 questionnaire surveys to 280 public and private organizations. Partial least squares structural equation modeling (PLS-SEM) was applied to statistically confirm the conceptual model of the barriers to disseminating spatial data. The results indicate institutional barriers from the absence of national data policy, lack of specified roles of stakeholders, poor inter-organizational coordination, missing data-sharing policy, and weak organizational partnerships, with coefficients 0.26, 1.555, 1.305, 8.288, and 0.136, respectively, at the p 2 0.65 indicates a good explanatory power of the model. The methodology developed in the present study will allow devising more sustainable policies for spatial data management and dissemination in Pakistan and beyond
Business · Dissemination · Geography · Geospatial analysis · Knowledge management · Process management · Spatial analysis · Spatial data infrastructure · Structural equation modeling · Computer Science · E-Government and Public Services · Geographic Information Systems Studies · Spatial and Panel Data Analysis
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| Citations per year | 1.5 |
|---|---|
| Citation span | 2022 - 2026 (5) |
| Highly cited | No |