scholarly journals The Impact of Management of Information Communication Technology (MICT) on Society- International Conference on Communication, Management and Information Technology- ICCMIT 2019, Vienna, Austria

2019 ◽  
Vol 12 (18) ◽  
pp. 1-5
Author(s):  
Asadullah Shaikh ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 30 ◽  
Author(s):  
Kabii Francis ◽  
John K. M. Wandaka ◽  
Naghea Jilo

Several studies have been conducted to examine the influence of technology on the travel and tourism industry. However, there exists limited literature on the adaptation and usage of Smartphone technology by Kenyan tour guides, a gap this study sought to address. The objective of the study was to examine the effect of Information Communication Technology (ICT) on tour guiding performance in Kenya, investigate the effect of smartphone usage on the guides’ performance and finally, explore the possibility of adoption smart guiding techniques by Kenya’s tour guides. The study used descriptive methods and target practicing tour guides as the respondents. The data collected was analyzed using the Pearson’s Chi-square test of independence. The findings indicated Smartphone technology positively influenced guides, performance (χ2=65.025;df 2; P<0.05).The study concluded that smartphone and information communication technology have significantly influenced guides performance and hence recommend to the government and other stakeholders to invest more in infrastructure that supports smart destinations, which offer interactive pre-tour services, during the tour and post-tour experiences. Innovation on applications that support real-time interaction with attractions, accommodation and financial institutions is recommended.


2015 ◽  
Vol 12 (2) ◽  
pp. 399-407
Author(s):  
Zitsile Zamantungwa Khumalo ◽  
Itumeleng Pleasure Mongale

This paper investigates the impact of Information Communication Technology on economic growth in South Africa. The study intends to establish correlation in a developing country such as South Africa where the existence of such a relationship has not been distinctly determined. The model is estimated by using the cointegration and causality analysis and the interrelationships among the variables will be captured by employing the Johansen Cointegration method. The Generalized Impulse Response Function is also introduced to further explore the dynamic relationship among the variables. The results exhibit the incidence of a positive association between Information Communication Technology and economic growth


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