According to the Ministry of Information and Communications in Vietnam, as of November 2015, the number of mobile subscribers is over 120 million ones, accounting for over 86% of the total number of telephone subscribers. With a total population of over 92 million Vietnam citizens, a stable national economy and a large populations of young consumers in the country, mobile communication industries still have a huge potentials for future development. Telecommunication service providers in Vietnam are facing fierce competition. Subscribers are expecting OTT (Over the Top) applications, good quality service and handset subsidy. This study investigated whether legal frameworks, OTT applications, quality of service and handset subsidy are important components of mobile telecommunication service in Vietnam. This study used quantitative method to distribute surveys to mobile subscribers. Findings found that all four factors significantly influence mobile business in Vietnam. Thus, telecommunication service providers in Vietnam must continuously innovate to enhance operational competitiveness, improve business efficiency, expand business scale, and improve its position in the market in order to ensure sustainable development. Moreover, Vietnamese government needs to develop a legal framework to help mobile telecommunication service providers enhance the common interests and benefits of the entire society.

This research examines the links between customer perceived expectations, customer perceived experience, and customer satisfaction in the United Arab Emirates' digital solution in the telecommunications industry. The research takes a positivist philosophical perspective and uses a quantitative data analysis strategy to sample 130 clients who utilize the digital solution of the telecommunications sector in the United Arab Emirates. Exploratory component analysis and multiple regression analysis were used to evaluate and validate the validity of the suggested scales and the research model's linkages. The research discovered a strong correlation between customer expectation and customer experience and the degree of satisfaction of individuals in the United Arab Emirates due to their use of or engagement with digital solutions of the telecommunications sector, independent of generational differences. The study's findings are entirely consistent with the Expectancy-Disconfirmation and Evaluation Congruity Theories.

The paper investigates the factors influencing customers choice of telecommunication network in Ghana. The survey design was employed to enable the researchers perform statistical analysis. Questionnaire consisting of Likert scale question was used to collect the primary data. Multiple regression analysis was performed to ascertain the factors influencing customers’ choice of telecommunication networks. The study found six factors that influence customers to choose a particular network. These factors include; brand awareness, brand image, perceived quality, price, convenience and brand loyalty. The study concludes that all the six factors contribute to the factors that drive consumer choice of telecommunications service in Ghana.

The telecommunications industry continues to experience fierce competition due to the growth in subscribers and the rapid development of new technologies in the sector. With that hindsight, this study explores the dimensionality of factors that affect mobile phone subscribers’ intention to switch operators. Survey data was collected from 235 mobile phone network subscribers and analyzed using the Partial Least Square Approach to Structural Equation Modelling (SEM). The SEM model was assessed based on the measurement model and the structural model. Factor Loadings, Cross Loadings, Average Variance Extracted Cronbach’s alpha, and Composite reliabilities of the latent variables examined showed that the measurement model exhibited sufficient reliability, discriminant validity and convergent validity. Assessment of the Structural model shows that 77% of the variation in Satisfaction is explained by our model (R2 = 0.77). Furthermore, 18% (R2 = 0.18) of the variation in Intention to Switch was explained by the model. Stone-Geiser Q2 for the endogenous showed that the proposed Structural Equation Model exhibited sufficient predictive relevance. Conclusions were drawn with practical implications of the results also discussed.