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地理信息系统采用模型:一种偏最小二乘结构方程建模分析方法。

Geographic information systems adoption model: A partial least square-structural equation modeling analysis approach.

作者信息

Alzahrani Nouf Abdulaziz, Sheikh Abdullah Siti Norul Huda, Adnan Noridayu, Zainol Ariffin Khairul Akram, Mukred Muaadh, Mohamed Ibrahim, Wahab Suzaily

机构信息

Centre for Cyber Security, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Malaysia.

Department of Business Analytics, Sunway Business School, Sunway University, 5, Jalan University, Bandar Sunway, Petaling Jaya, Selangor, 47500, Malaysia.

出版信息

Heliyon. 2024 Jul 22;10(15):e35039. doi: 10.1016/j.heliyon.2024.e35039. eCollection 2024 Aug 15.

DOI:10.1016/j.heliyon.2024.e35039
PMID:39170420
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11336337/
Abstract

The ability of Geographic Information System (GIS) to organize, analyze, visualize and integrate spatial data has been at the top of its primary uses among professional industries. However, considering the extensive adoption of Information System (IS) throughout history for government organizations' or citizens' disaster response, the implementation of geographical elements is still minimal. Previous GIS models and framework studies, particularly in developing countries, were affected by pandemic pressure, competitiveness pressure, change management, and security factors. Thus, this study aims to develop a model for the successful adoption of GIS using the Technology Acceptance Model (TAM), and De Lone and Mc Lean Information Success Model and analyze the applicability of the existing factors to enhance the performance of Public Sector Organizations (PSOs). From the study, a new conceptual framework was proposed to examine the effects of factors on GIS adoption that impact performance among PSOs from the perspective of Saudi Arabia. Quantitative methods were used to collect data through a questionnaire distributed to 350 respondents from PSO, and only 272 were found to be valid. Partial Least Square Structural Equation Modeling (PLS-SEM) validated the GIS model. The finding revealed that system quality, service quality, change management, competitiveness pressure, perceived ease of use, perceived usefulness, and security factors significantly and positively affected GIS adoption. The study also showed that GIS adoption substantially affected PSO performance. The proposed model provides insight into how GIS adoption can eventually enhance performance among PSOs. In essence, the study contributes to the running of PSO and the decisions taken by policymakers.

摘要

地理信息系统(GIS)组织、分析、可视化和整合空间数据的能力一直是其在专业行业主要用途中的佼佼者。然而,考虑到信息系统(IS)在历史上被政府组织或公民广泛用于灾难应对,地理要素的应用仍然很少。以前的GIS模型和框架研究,特别是在发展中国家,受到疫情压力、竞争压力、变革管理和安全因素的影响。因此,本研究旨在使用技术接受模型(TAM)和德龙与麦克林信息成功模型开发一个成功采用GIS的模型,并分析现有因素对提高公共部门组织(PSO)绩效的适用性。通过该研究,提出了一个新的概念框架,从沙特阿拉伯的角度审视影响PSO绩效的因素对GIS采用的影响。采用定量方法,通过向PSO的350名受访者发放问卷来收集数据,结果发现只有272份问卷有效。偏最小二乘结构方程模型(PLS-SEM)验证了GIS模型。研究结果表明,系统质量、服务质量、变革管理、竞争压力、感知易用性、感知有用性和安全因素对GIS采用有显著的正向影响。研究还表明,GIS采用对PSO绩效有重大影响。所提出的模型为GIS采用最终如何提高PSO绩效提供了见解。本质上,该研究有助于PSO的运作以及政策制定者做出的决策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db81/11336337/318515a4a760/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db81/11336337/10fffc0e2331/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db81/11336337/682cc282681a/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db81/11336337/318515a4a760/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db81/11336337/10fffc0e2331/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db81/11336337/682cc282681a/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db81/11336337/318515a4a760/gr3.jpg

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