Redirigiendo al acceso original de articulo en 17 segundos...
ARTÍCULO
TITULO

Systematic Reviews (SRS)| Economic Impacts of Mobile Telecom in Rural Areas in Low- and Lower-middle-income Countries: Findings of a Systematic Review

Christoph Stork    
Nilusha Kapugama    
Rohan Samarajiva    

Resumen

Mobile phones have been the most rapidly adopted of all information and communication technologies. Understanding the impact of this technology on economic and productive outcomes in rural areas is of value to governments, international organizations, private companies, and nongovernmental entities. This article presents a comprehensive analysis of their impact from a systematic review of the economic impact of mobile-phone interventions in improving economic, social, and productive outcomes in rural areas in low- and lower-middle-income countries for the period 2000?2014. The evidence of the impact on economic and productive outcomes in rural areas was strongest with regard to infrastructure interventions, wherein mobile network coverage reaches a population that previously lacked connectivity. Studies of access-device interventions, wherein mobile phones or SIM cards are bought by the user or are provided by a third party, and studies of content and application interventions did not yield conclusive findings.

 Artículos similares

       
 
Gricelda Herrera-Franco, Lady Bravo-Montero, Jhon Caicedo-Potosí and Paúl Carrión-Mero    
The excessive use of energy from fossil fuels, which corresponds to population, industrialisation, and unsustainable economic growth, is the cause of carbon dioxide production and climate change. The Water?Energy?Food (WEF) nexus is an applicable concept... ver más
Revista: Water

 
Elham Albaroudi, Taha Mansouri and Ali Alameer    
The study comprehensively reviews artificial intelligence (AI) techniques for addressing algorithmic bias in job hiring. More businesses are using AI in curriculum vitae (CV) screening. While the move improves efficiency in the recruitment process, it is... ver más
Revista: AI

 
Ashokkumar Palanivinayagam, Claude Ziad El-Bayeh and Robertas Dama?evicius    
Machine-learning-based text classification is one of the leading research areas and has a wide range of applications, which include spam detection, hate speech identification, reviews, rating summarization, sentiment analysis, and topic modelling. Widely... ver más
Revista: Algorithms

 
Chuyang Yang and Chenyu Huang    
Advanced digital data-driven applications have evolved and significantly impacted the transportation sector in recent years. This systematic review examines natural language processing (NLP) approaches applied to aviation safety-related domains. The auth... ver más
Revista: Aerospace

 
Dimitrios Ramandanis and Stelios Xinogalos    
A chatbot is a technological tool that can simulate a discussion between a human and a program application. This technology has been developing rapidly over recent years, and its usage is increasing rapidly in many sectors, especially in education. For t... ver más
Revista: Information