Abstract
AbstractThe utilisation of information technology to facilitate “smartness” is considered as a promising approach to improve the rural economy. However, the explanation of how the adoption of smartness in rural areas can lead to an improvement in the citizen’s economic welfare is still lacking in current studies. This paper aims to formulate a theoretical model that explains the causal mechanism of smartness adoption in rural areas to contribute to the improvement of rural citizen’s economic welfare. To achieve this, we conducted a systematic literature review based on three research questions resulting in 119 selected articles, which we used to formulate a theoretical model. The proposed model posits that rural smartness has a mediating effect on the citizen’s economic welfare through its positive impact on the competitiveness and innovativeness of rural business entities. Additionally, the proposed theoretical model highlights the necessity of adopting a smart service platform, representing the IT artefact for smartness. We argue that the adoption of such a platform would have a significant moderating effect on the competitiveness and innovativeness of rural business entities. We also contribute a comprehensive set of candidate measures we extracted from the selected literature as operationalisation of the proposed model. In terms of contribution to practice, the proposed theoretical model can be used as the starting point to guide the diffusion of smartness in rural areas.
Funder
Indonesia Endowment Fund for Education
Publisher
Springer Science and Business Media LLC
Subject
Economics and Econometrics
Reference161 articles.
1. Abu-Matar, M. Towards a software defined reference architecture for smart city ecosystems. In 2016 IEEE International Smart Cities Conference (ISC2), 12-15 Sept. 2016 (pp. 1-6). https://doi.org/10.1109/ISC2.2016.7580807.
2. Abu-Matar, M., & Davies, J. Data driven reference architecture for smart city ecosystems. In 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation, 4–8 Aug. 2017 (pp. 1–7). https://doi.org/10.1109/UIC-ATC.2017.8397556.
3. Albino, V., Berardi, U., & Dangelico, R. M. (2013). Smart cities: definitions, dimensions, and performance (Ifkad 2013: 8th International Forum on Knowledge Asset Dynamics: Smart Growth: Organizations, Cities and Communities).
4. Albino, V., Berardi, U., & Dangelico, R. M. (2015). Smart cities: Definitions, dimensions, performance, and initiatives. Journal of Urban Technology, 22(1), 3–21. https://doi.org/10.1080/10630732.2014.942092.
5. Aldoiu, S., & Tapus, N. Innovative infrastructure for Smart City/Smart Environment applications. In 2018 5th International Conference on Control, Decision and Information Technologies (CoDIT), 10–13 April 2018 (pp. 767–772). https://doi.org/10.1109/CoDIT.2018.8394822.
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