A Unique Global Mobile Network Service Tracker and User Centric Data Analyser

2012 ◽  
Author(s):  
Muhammad Bilal ◽  
Irfan Awan ◽  
Steve Mockford ◽  
Asfand e-Yar
Keyword(s):  
Mobile Network ◽  
Network Service ◽  
User Centric ◽  
Global Mobile Network

Prioritizing the influencing factors of utaut-2 model toward mobile network service providers

2021 ◽  
pp. 178359172110553
Author(s):  
Ishani Patharia ◽  
Anjana Pandey ◽  
Sanjay Gupta
Keyword(s):  
Technology Acceptance ◽  
Communication Networks ◽  
Service Providers ◽  
User Behavior ◽  
Mobile Network ◽  
Study Data ◽  
Jel Classification ◽  
Network Service ◽  
Factors Affecting ◽  
Use Of Technology

Technological developments have a major impact on user behavior. The rapidly evolving communication system and technology have provided numerous choices for people. The ever-shifting changes in the generation of communication networks have posed challenges for mobile network service providers to attract and retain customers. This study aims to prioritize the determinants of the adoption of mobile network service providers using the unified theory of acceptance and use of technology (UTAUT-2). In this study, data were collected from 660 mobile phone users in Haryana, India. A fuzzy analytical hierarchy process (F-AHP) was applied to arrange the priority or rank the factors based on the significance of the factors in explaining the adoption of mobile network service providers. Results of the study reveal that efforts expectancy is the highest-ranked and prioritized factor for the adoption of mobile network service providers followed by performance expectancy and facilitating conditions. However, social influence emerged as the least important factor. The present study provides theoretical implications for future researchers by synthesizing and prioritizing the important factors affecting technology acceptance. The practical implications offer a clearer insight to marketers for developing focused pragmatic strategies to retain customer loyalty. The study has considered only UTAUT-2 model constructs and used the F-AHP technique. Other factors may be considered in future studies. Other priority analysis techniques can also be used such as ISM and MICMAC analysis for further study. The research has been conducted in Haryana, India, and therefore, it needs to be tested in other areas/countries for generalizability. JEL Classification: O1, O2, O4

Effect of population density and network availability on deployment of broadband PPDR mobile network service

2018 ◽  
Vol 20 (1) ◽  
pp. 78-96 ◽  
Author(s):  
Matti Peltola ◽  
Heikki Hämmäinen
Keyword(s):  
Population Density ◽  
Urban Areas ◽  
Mobile Network ◽  
Critical Parameters ◽  
Service Availability ◽  
Loop Model ◽  
Network Service ◽  
Content Type ◽  
Commercial Network ◽  
Socioeconomic Benefits

Purpose The purpose of the paper is to define the best deployment alternatives for a public protection and disaster relief (PPDR) mobile network service – the implementation alternatives being either a dedicated network, a commercial network or a hybrid of the two network types. The selection criteria are based on the social benefits that the PPDR mobile service is expected to bring to society. The critical parameters are population density and service availability, which both directly relate to the socioeconomic benefits achieved by providing broadband (BB) mobile services in various demographic areas. Design/methodology/approach A causal loop model has been developed to define the socioeconomic benefits of the PPDR network, the parameters being population density, service availability, socioeconomic value of the service and the costs of the network. The network solution alternatives are studied using the Finnish PPDR network as a reference – analysing various areas of the country with differing population densities from remote, rural and more densely populated suburban and urban areas. Findings Socioeconomic value is a common measure for assessing the value of governmental investments; population density has a strong impact on the optimum deployment alternatives as the socioeconomic value is directly proportional to this variable. The flat nationwide fee of the mobile users means that the users are subsidised in sparsely populated areas – and overcharged in densely populated areas. This is the main reason why the commercial network seems to be most feasible in rural areas, whereas the dedicated network works best in urban areas. Based on the case study, the commercial network is most preferable up to the point when the population density reaches 50-125 persons/km2. After that point, the dedicated network becomes more appropriate. Proposals are being made to improve the availability of the commercial networks enabling them to serve as a PPDR network: ensuring priority functionality and a protected power supply; allowing PPDR subscribers the exclusive use of one of the 700 MHz spectrum bands in restricted, critical areas; and extending use of the existing narrowband PPDR network in areas where communication availability is crucial. Originality/value On the one hand, the financing of BB PPDR mobile networks is an unresolved issue in many countries. On the other hand, the ability of commercial BB networks to provide better quality of service is improving, making viable the alternative to subscribe for radio service from a commercial operator. Therefore, the feasibility study on how to provide an optimum mobile BB service for PPDR organisations is of real value at this time.

scholarly journals Service Quality and Consumer Choice of Their Preferred Telecommunications Service Provider in Ghana

2019 ◽  
Vol 4 (6) ◽  
Author(s):  
Afako Jephthah Kwame ◽  
Afako Jeremiah Kwaku ◽  
Tian Hongyun
Keyword(s):  
Service Quality ◽  
Service Provider ◽  
Service Providers ◽  
Mobile Network ◽  
Research Approach ◽  
Customer Choice ◽  
Network Service ◽  
Network Service Provider ◽  
Quality Dimensions ◽  
Service Quality Dimensions

This study examines the effect of service quality on customer choice. Specifically, it investigated the relationship between service quality dimensions and customer choice, examining the effect of service quality dimensions on customer choice and the service quality dimension most preferred by customers. The quantitative research approach was used with a sample of 250 respondents using purposive and convenient sampling technique. Questionnaires were used to collect the data and analyzed using SPSS version 21. With regards to the correlation variables, it showed a strong positive relationship between service quality dimensions and customer choice of a mobile network service provider and the regression variables showed a significant effect between service quality and customer choice indicating that service quality is very important and influence customers’ choice in choosing a mobile network service provider. It was recommended that Mobile network service providers should continue to improve on the service quality dimensions (empathy, responsiveness, reliability assurance, and tangibility). Since customers look out for these dimensions when choosing a mobile network service provider.

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