Smart Villages and the GCC Countries: Policies, Strategies, and Implications

Brahimi, Tayeb; Bensaid, Benaouda

doi:10.1108/978-1-78769-845-120191015

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…At present, the rate of urbanization in villages is 1.2 percent annually (Detik.com., 2019). The development gap between cities and villages cannot be separated from the impact of the unequal distribution of demographics and economic capacity (Pérez-delHoyo & Mora, 2019), also in the availability of adequate infrastructure (Brahimi & Bensaid, 2019), including disparities in information and communication technologies (Nieto & Brosei, 2019). According to the Ministry of Communication and Information (2021), around 40 percent of the total villages in Indonesia do not have access to information and communication technologies (ICT).…”

Section: Introductionmentioning

confidence: 99%

The Challenges to Developing Smart Agricultural Village in the Industrial Revolution 4.0.

Tumiwa

Tuegeh²,

Bittner³

et al. 2022

TIS

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Nowadays, rural depopulation is one of the biggest problems in developed and developing countries, especially due to the COVID-19 pandemic. This pandemic impacts various sectors, especially the economic sector. However, the development of the 4.0 Industrial Revolution forced all sectors, including agriculture, to adapt and take advantage of internet-based digital technology by developing smart agriculture. Therefore, the objective of this study is to analyze the development of smart agriculture in rural areas. This study uses a systematic literature review with a TAA approach with secondary data collected from Scopus databases. The downloaded documents will be further analyzed using VOSviewer software to find the clustering. After the coding process by first-order categories, second layer theme, and aggregate dimension, this research found several theoretical concepts about the “Smart Village”. The definition of the ‘smart village’ concept is a combination of smart agriculture and industry 4.0 technology utilized by rural MSMEs to use the information and communication technology integrated into public services and economic activities. There are still many obstacles encountered in the application of ‘smart villages,’ such as the lack of youth participation and the low quality of human resources in the agricultural sector, limited internet network coverage, and the lack of optimal capital support. This research will contribute to the systematic literature review method by purposing filtering criteria of TAA to shade the light of the lack of data accuracy in several leading databases of scholarly impacts. This research also gives a clear direction for further research regarding industry 4.0 and Indonesia's smart agriculture concept application.

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Section: Introductionmentioning

confidence: 99%

The Challenges to Developing Smart Agricultural Village in the Industrial Revolution 4.0.

Tumiwa

Tuegeh²,

Bittner³

et al. 2022

TIS

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An Interpretive Structural Model Approach to Strategic Management Modelling for Sustainable Smart Village Development in Indonesia

Darmawan,

Muhsi,

Anekawati

et al. 2023

2023 10th International Conference on ICT for Smart Society (ICISS)

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Efficient Use of Energy Resources on Malaysian Farms

Chankoson¹,

Jermsittiparsert²,

Wareewanich³

2020

IJEEP

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The purpose of this study is to discover an approach where the outputs of the farms are maximum at the minimal input. Malaysia is well known for its crop (such as rubber, rice, palm oil, tea). Prior studies show that due to the climate change, there are likely chances that the farms of Malaysia will go extinct. In this study, the main focus is to efficiently use the energy resources to save it for the future in a prolonged manner. The data was collected from the website of Department of Statistics Malaysia, Official Portal. The data was taken for rubber and crops category. In order to run the analysis, the non-parametric approach was used, which is also knows as data envelopment analysis. It is used to explore the efficient use of energy resources. The findings suggest that rubber farms are the most technical efficient as compared to other farms. Further, the results show that there are many factors that counts and sums up the efficiency of the farm. Whilst studying the technical efficiency, this study finds that the soil and climate conditions contributes to the efficiency and productivity of the farms.

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Smart Villages and the GCC Countries: Policies, Strategies, and Implications

Cited by 3 publications

References 11 publications

The Challenges to Developing Smart Agricultural Village in the Industrial Revolution 4.0.

The Challenges to Developing Smart Agricultural Village in the Industrial Revolution 4.0.

An Interpretive Structural Model Approach to Strategic Management Modelling for Sustainable Smart Village Development in Indonesia

Efficient Use of Energy Resources on Malaysian Farms

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