An Exploratory study on the determinants of internet access penetration in Kenya / Nancy Waithira Matimu

By: Contributor(s): Publication details: Nairobi Strathmore University 2011Description: xi, 101pSubject(s): LOC classification:
  • HD5701.K4M38 2011
Contents:
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Summary: This study was undertaken using primary and secondary methods to provide gainful insight on those factors that have shaped internet access penetration in Kenya and hence make conclusions on the determinants thereof. Internet access is viewed as a key enabler for operational efficiency, economic growth and knowledge dissemination world over. It has been the key driver for eliminating cross-border barriers and a catalyst for reducing knowledge asymmetry through the global village concept realization. The core objective was to establish the determinants of internet access in Kenya and how they have influenced market penetration with a view to providing an informed direction on priority areas of contribution and considerations by the academic community, policy makers and the business community respectively in achieving universal access objectives and business growth and profitability objectives. These determinants were organized along the following key themes; socioeconomic determinants (affordability, income levels, demographics, literacy levels), infrastructure (mobile subscriptions, electricity consumption and ICT goods imports) and regulatory factors (regulatory policy and competition). Other factors explored included speed of access, security and locally relevant content availability. The findings of the study showed that a strong positive linear relationship exists between number of internet users and income levels, 15-65 years age set population, literacy level, mobile subscriptions, electricity consumptions and competition. They also showed that a positive linear relationship also exists between internet users and ICT goods imports albeit weak. Affordability (price of internet access) was found to have a strong negative linear relationship with the number of internet. The findings which were subjected to descriptive and inferential analysis concluded that the key factors that determine internet access penetration in Kenya includes income levels, affordability, mobile subscriptions and efficient competition arising from effective regulations. A regression model with a high predictive capability was also developed which suggests that 95% of internet access penetration can be explained by income levels and mobile subscriptions.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Thesis Thesis Special Collection Special Collection TH HD5701.K4.M38 2011 In transit from Special Collection to Bindery since 19/02/2016 Not for loan 80305
Total holds: 0

Partial fulfillment for the award of Masters of Business Administration

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This study was undertaken using primary and secondary methods to provide gainful insight on those factors that have shaped internet access penetration in Kenya and hence make conclusions on the determinants thereof. Internet access is viewed as a key enabler for operational efficiency, economic growth and knowledge dissemination world over. It has been the key driver for eliminating cross-border barriers and a catalyst for reducing knowledge asymmetry through the global village concept realization.
The core objective was to establish the determinants of internet access in Kenya and how they have influenced market penetration with a view to providing an informed direction on priority areas of contribution and considerations by the academic community, policy makers and the business community respectively in achieving universal access objectives and business growth and profitability objectives. These determinants were organized along the following key themes; socioeconomic determinants (affordability, income levels, demographics, literacy levels), infrastructure (mobile subscriptions, electricity consumption and ICT goods imports) and regulatory factors (regulatory policy and competition). Other factors explored included speed of access, security and locally relevant content availability.
The findings of the study showed that a strong positive linear relationship exists between number of internet users and income levels, 15-65 years age set population, literacy level, mobile subscriptions, electricity consumptions and competition. They also showed that a positive linear relationship also exists between internet users and ICT goods imports albeit weak. Affordability (price of internet access) was found to have a strong negative linear relationship with the number of internet. The findings which were subjected to descriptive and inferential analysis concluded that the key factors that determine internet access penetration in Kenya includes income levels, affordability, mobile subscriptions and efficient competition arising from effective regulations. A regression model with a high predictive capability was also developed which suggests that 95% of internet access penetration can be explained by income levels and mobile subscriptions.

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