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Factors affecting the adoption of a land information system: An empirical analysis in Liberia

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  • Zeng, Zhongping
  • Cleon, Christian Bobby

Abstract

This study adopted the diffusion paradigm to study the implementation and development of land information systems (LIS). Using a theoretical structural model based on the combination of three acceptance theories, this study identifies the underlying factors affecting the adoption of an LIS in Liberia. Participants included 102 public servants from different sectors. The methodology of Structural Equation Modeling (SEM) was used to analyze the impacts on the intention to adopt an LIS. The results indicated that the intention of individuals to use LIS was influenced by personal innovativeness, attitude and perceived behavior control toward LIS. The path analysis of pre-determinants to these crucial factors demonstrated that LIS system design that leads to an increased perception of usefulness and ease of use would contribute to positive attitudes. Based on the survey analysis, several behavior interventions and land information policy suggestions were proposed for the specific sector. Finally, limitations and future directions were discussed.

Suggested Citation

  • Zeng, Zhongping & Cleon, Christian Bobby, 2018. "Factors affecting the adoption of a land information system: An empirical analysis in Liberia," Land Use Policy, Elsevier, vol. 73(C), pages 353-362.
    • Handle: RePEc:eee:lauspo:v:73:y:2018:i:c:p:353-362
    DOI: 10.1016/j.landusepol.2017.12.034
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    References listed on IDEAS

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    Cited by:

    1. Stöcker, Claudia & Bennett, Rohan & Koeva, Mila & Nex, Francesco & Zevenbergen, Jaap, 2022. "Scaling up UAVs for land administration: Towards the plateau of productivity," Land Use Policy, Elsevier, vol. 114(C).
    2. Zeng, Zhongping & Li, Siqi & Lian, Jiunn-Woei & Li, Jiang & Chen, Tao & Li, Yujia, 2021. "Switching behavior in the adoption of a land information system in China: A perspective of the push–pull–mooring framework," Land Use Policy, Elsevier, vol. 109(C).
    3. Daxini, Amar & O’Donoghue, Cathal & Ryan, Mary & Buckley, Cathal & Barnes, Andrew P., 2018. "Factors influencing farmers' intentions to adopt nutrient management planning: accounting for heterogeneity," 166th Seminar, August 30-31, 2018, Galway, West of Ireland 276183, European Association of Agricultural Economists.

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