Abstract

The development of fuzzy sets in geographic information systems (GIS) arose out of the need to handle uncertainty and the ability of soft computing technology to support fuzzy information processing. Fuzzy logic is an alternative logical foundation coming from artificial intelligence (AI) technology with several useful implications for spatial data handling. GIS has been found to have a crucial role in the performance of public sector organizations (PSO). However, the literature shows no universal model to support and shed light on GIS adoption, which lessens the chances for effective GIS adoption and usage. Therefore, a new model is needed for successful adoption and eventual enhanced organization’s performance. Thus, there is a need to investigate the factors that can bring about GIS adoption. Models for GIS adoption in literature are few and far between, and the few that exist are not applicable as they do not cover all the significant factors that can contribute to adoption success. Hence, this paper brought a GIS adoption model for PSOs to promote their performance. The model was developed through the extension of the Technology Acceptance Model (TAM) in addition to the DeLone and McLean’s Success Model. The study involved interviews with ten experts in ranking the extracted factors, and data was analyzed through thematic analysis. On the basis of the obtained analysis findings, the fundamental factors were found to be significant in their effects, and GIS adoption sufficiently related to the overall performance. Thus, the study contributes to the body of knowledge by filling the gap in the literature.

Highlights

  • Geographic information system (GIS) has become a top field of study owing to its several applications in different organizations in various fields [1]

  • Nine major factors are contained within the model: information quality, system quality, service quality, change management, competitiveness pressure, pandemic pressure, security, perceived ease of use, and perceived usefulness. e factors were examined in terms of their effects on GIS adoption and the public organizations’ overall performance. e details of factors extractions and model constructions are discussed in the coming sections

  • GIS plays a vital role in business management, which is why it is increasingly regarded as a key tool for improving organizational performance

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Summary

Introduction

Geographic information system (GIS) has become a top field of study owing to its several applications in different organizations in various fields [1]. E proposed GIS adoption research model is developed based on existing technology acceptance theories, modified for the Saudi public sector. Is study focuses on determining the factors that affect technology adoption, GIS adoption, using a combination of theories to develop a model for factors testing among Saudi public organization employees. E use of an efficient GIS protects the environment and helps minimize risks and manage catastrophic events Such data is utilized in web-based navigation maps to provide the public with the required information. E finalized geographic information is displayed so that the users can access it for an easy and quick understanding of data and decision-making [34] When it comes to pandemics, GIS is invaluable in examining the spatial distribution of infectious diseases [35] to combat the pandemic and enhance care quality. Is made it easier to get spatial data via the Internet, notably in the circles of system and application developers, to ease the use of accurate and authentic maps and spatial data [40, 41]

Past Related Works on GIS Adoption and Research Gap
Factors Extractions
Findings
Conceptual Framework Development
Conclusion
Full Text
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