Building Smart Rural Regions: Challenges and Opportunities

Cunha, Carlos R.; Gomes, João Pedro; Fernandes, Joana; Morais, Elisabete Paulo

doi:10.1007/978-3-030-45697-9_56

Cited by 7 publications

(36 citation statements)

References 15 publications

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“…More recently, there is a growing interest among academics for studying smartness adoption as a means to improve the economic situation for people living in rural areas, which resulted in the formulation of strategies, frameworks, and conceptual models (Cunha et al, 2020;Mishbah et al, 2018;Naldi et al, 2015;Zavratnik et al, 2018). However, although these studies already provide some guidance for the adoption of smartness in rural areas, further elaboration of the topic is still needed.…”

Section: How Can the Concept Of Smartness Improve The Economic Welfar...mentioning

confidence: 99%

“…In order to properly formulate the theoretical model, we first need to have a reference definition of rural smartness. However, since the concept of rural smartness is still vague, and just starting to gain some attention in the academic literature (Cunha et al, 2020;Zavratnik et al, 2018), we derived a definition from the definition of urban smartness that is a more established area of research. In this paper, we refer to one of the most cited definitions of urban smartness by Caragliu et al (2011): "We believe a city to be smart when investments in human and social capital and traditional (transport) and modern (ICT) communication infrastructure fuel sustainable economic growth and a high quality of life, with a wise management of natural resources, through participatory governance".…”

Section: Rural Smartnessmentioning

confidence: 99%

“…The problems faced in the urban context are typical for densely populated areas that exhibit a rapid degradation of the overall quality of living, for example, traffic and mobility, waste, pollution, energy scarcity, and social issues (Angelidou, 2017;Neirotti et al, 2014). On the other hand, the problems faced in the rural context, especially in the developing countries, are strongly related to economic aspects, such as poverty, lack of job opportunities, inefficient business ecosystem, and stagnancy of economic growth (Castañeda et al, 2018;Cunha et al, 2020;Imai et al, 2017;Wiggins & Proctor, 2001). Therefore, given these specificities, the main goal of rural smartness is to improve the rural economic situation, the main argument for this goal being that fostering IT innovation will lead to the emergence of a better local micro-economic climate (Cunha et al, 2020;Zavratnik et al, 2018).…”

Section: Rural Smartnessmentioning

confidence: 99%

“…First, geographically, rural areas are typically remote locations with limited connectivity to economic centers that concentrate in urban areas. Given this geographical situation, the logistics and transportation costs to and from urban areas are high and lead to stagnation of economic growth in rural areas (Cunha et al, 2020;Wiggins & Proctor, 2001). Second, the rural economy dependencies are very much dependent on the agricultural sector.…”

Section: Role Of Organizational Readinessmentioning

confidence: 99%

“…This situation causes workers in rural areas to migrate and seek employment in the non-agricultural sector in urban areas, which deprives rural areas of the Fig. 2 Theoretical model young population and workplaces (Cunha et al, 2020;Imai et al, 2017). Third, from a human resource perspective, an empirical study found that 80% of the extremely poor and 75% of the moderately poor are people living in rural areas (Castañeda et al, 2018), implying that rural citizens have a much lower purchasing power when compared to urban citizens.…”

Section: Role Of Organizational Readinessmentioning

confidence: 99%

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Rural smartness: Its determinants and impacts on rural economic welfare

et al. 2022

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Solving urbanization problems, especially in developing countries, solely through the adoption of smartness in urban areas is insufficient as urbanization is mostly driven by the wide urban-rural economic gap. To narrow this gap, the adoption of smartness needs to be extended into rural areas. However, studies in that direction are still lacking. Therefore, we developed a theoretical model that explains the determinants of rural smartness and its subsequent consequences on rural economic welfare. We validated the model with survey data from 179 villages in West Java Province, Indonesia. The results suggest that rural smartness is determined by the interplay of organizational, environmental, and technological readiness, and has a strong positive impact on innovativeness which, in turn, improves the competitiveness of the rural business ecosystem. This model can serve as a reference for further studies of rural smartness and as the foundation for the design of information platforms supporting it.

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Section: How Can the Concept Of Smartness Improve The Economic Welfar...mentioning

confidence: 99%

Section: Rural Smartnessmentioning

confidence: 99%

Section: Rural Smartnessmentioning

confidence: 99%

Section: Role Of Organizational Readinessmentioning

confidence: 99%

Section: Role Of Organizational Readinessmentioning

confidence: 99%

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Rural smartness: Its determinants and impacts on rural economic welfare

et al. 2022

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Architecting rural smartness: A collaborative platform design for rural digital business ecosystem

Mukti

Firdausy

Aldea

et al. 2022

E J Info Sys Dev Countries

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The wide urban-rural economic gap, particularly in developing countries, has led to various problems. To lower the gap, the participation of rural communities in digital business ecosystems is being viewed as a promising approach. To this end, we use design science research methodology to present a reference architecture of a rural smartness platform that facilitates the emergence of a smarter business ecosystem. This ecosystem embodies the characteristics of rural smartness, which are empirically proven to have a strong positive impact on improving the rural economic climate.Evaluation by means of expert opinion, technical action research, and empirical research suggest that the proposed architecture effectively improves the rural economic climate and is feasible to be implemented in a real-world setting. This paper contributes to the body of knowledge regarding the establishment of a digital business ecosystem for rural communities, particularly by proposing a solution resulting from a design science perspective that is backed by empirical evidence.

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