Study of Relationship of Demographic Factors with Brand Choice and Brand Switching of Customers of Mobile Phone Service Providers in Kolkata

2008 ◽  
Vol 33 (1) ◽  
pp. 28-52 ◽  
Author(s):  
Shibashish Chakraborty ◽  
Kalyan Sengupta
Keyword(s):  
Mobile Phone ◽  
Service Providers ◽  
Demographic Factors ◽  
Brand Choice ◽  
Brand Switching ◽  
Phone Service ◽  
Relationship Of

scholarly journals Prepaid Mobile Phone Service and the Anonymous Caller: Considering Wireless E9-1-1 in Canada.

2002 ◽  
Vol 1 (4) ◽  
Author(s):  
Gordon A. Gow ◽  
Mark Ihnat
Keyword(s):  
Mobile Phone ◽  
Emergency Service ◽  
Emergency Services ◽  
Service Providers ◽  
Privacy Rights ◽  
Privacy Concerns ◽  
Wireless Service ◽  
Commercial Networks ◽  
Phone Service ◽  
The Right

This paper reports on a recently concluded empirical study into the development of Wireless E9-1-1 (emergency service) in Canada that initially focussed on privacy concerns raised in the context of an emerging location based service (LBS) for mobile phone users. In light of existing regulatory arrangements this paper concludes that in Canada the emerging Wireless E9-1-1 system establishes a reasonable level of protection for the privacy rights of mobile phone users who choose to contact emergency services. However, an important and surprising issue was raised in the proceedings regarding the obligation of wireless service providers offering prepaid mobile phone service to obtain verifiable subscriber records from their customers. This paper provides details regarding the issue and contributes a number of points to an emerging debate concerning the right to anonymity for customers who elect to use prepaid or other services provided over commercial networks.

A Study on Customer Profiling of Mobile Phone Service Providers in Emerging Markets — Case of Kolkata, India

2009 ◽  
Vol 34 (4) ◽  
pp. 488-517
Author(s):  
Shibashish Chakraborty ◽  
Kalyan Sengupta
Keyword(s):  
Service Quality ◽  
Mobile Phone ◽  
Urban Poor ◽  
Consumer Satisfaction ◽  
Service Providers ◽  
Multivariate Techniques ◽  
Future Expectations ◽  
Functional Quality ◽  
Networking Tool ◽  
Phone Service

India is considered to be one of the fastest growing markets for mobile phones. The National target plan was to have a 250 million subscriber base by December 2007 (DOT Annual report 2006–2007). Primarily, which was a mode of fashion and status in the urban rich of the society, is fast changing its role as a convenient networking tool and penetrating in to all parts of the society including urban poor and even to rich rural class. Mobile phone service providers play a major role in satisfying needs of customers. It is becoming increasingly important for the companies to understand the changing customers' need, attitude and behaviour towards mobile phone services in order to compete efficiently which may lead to higher market share. Past researches focused extensively on measuring consumer perception of quality and determinants of service quality (Parasuraman et al., 1988, etc.). Cronin and Taylor (1992, 1994) have investigated the conceptualization and measurement of service quality and suggested relationships among service quality, consumer satisfaction and purchase intentions. It was Gronroos in 1990, who mentioned about importance of flexibility as one of the determinants of service quality, which may be considered as extremely valuable determinant in the face of future expectations from mobile phone service providers. The objective of the present study was to understand the nature and importance of generic requirements, functional quality, flexibility, and price which may generate satisfaction in the minds of customers of mobile phone service providers. A survey was conducted with a sample of 277 respondents from the city of Kolkata, where 19 items were selected to measure their importance and attitudes towards the current brand of service providers. Suitable multivariate techniques were applied to infer important determinants of customer satisfaction and possible segmentations.

Functional Factors Related to Vocational Rehabilitation Outcome: Implications for Service Providers and Researchers

1981 ◽  
Vol 12 (3) ◽  
pp. 113-122
Author(s):  
Ross K. Lynch
Keyword(s):  
Vocational Rehabilitation ◽  
Independent Living ◽  
Service Providers ◽  
Demographic Factors ◽  
Rehabilitation Outcome ◽  
Severity Of Disability ◽  
Functional Factors ◽  
Rehabilitation Agency ◽  
Counselor Performance ◽  
Relationship Of

This study investigated the relationship of functional and demographic factors to vocational rehabilitation outcome among a sample of legislatively mandated “severaly physically disabled” clients served by a public vocational rehabilitation agency. Critical functional and demographic factors were identified which were used to construct client typologies and their associated probabilities of vocational rehabilitation success. Implications of a prediction model based on functional factor are discussed in regard to rehabilitation plan development, Independent Living Rehabilitation, defining severity of disability, measuring counselor performance, and with respect to improving rehabilitation research and program evaluation techniques.

Demographic Factors Influencing the Adoption of Mobile Phones in the Utilization of Formal Financial Services by Smallholder Farmers in Kenya

2020 ◽  
Vol 2 (1) ◽  
pp. 81-92
Author(s):  
Joseph Masinde Wabwire
Keyword(s):  
Mobile Phone ◽  
Mobile Phones ◽  
Financial Services ◽  
Service Providers ◽  
Smallholder Farmers ◽  
Linear Regression Analysis ◽  
Demographic Factors ◽  
Simple Random Sampling ◽  
Mobile Service ◽  
Factors Influencing

The study aimed at assessing the demographic factors influencing adoption of mobile phones in the utilization of formal financial services by smallholder farmers in Kenya. Financial access household survey showed that 80 percent of Kenyan adults own a formal bank account. Whilst significant advances have been made in financial technology products, their penetration and usage among smallholder farmers in utilizing financial services and particularly the demographic factors influencing them remains unestablished. Research into more innovative, intermediated solutions, effective participation and inclusion of appropriate community-based groups in mobile financial services is, therefore, necessary. The target population for this study were smallholder farmers from Nakuru, Busia and Kirinyaga Counties in Kenya.  Simple random sampling and Convenience sampling techniques were used to select 496 smallholder farmers as respondents for the study. Data was collected using copies of a researcher developed questionnaire and data collection sheet. Quantitative data was analysed using multiple linear regression analysis with the aid of SPSS software. The findings revealed that demographic factors were important in predicting mobile phone utilization for formal financial services among smallholder farmers in Kenya. Therefore, the study recommends that mobile phone mobile service providers should collaborate with financial service providers to enable the farmers upgrade their phones to access more financial services platforms.

scholarly journals Brand Switching Pattern Discovery by Data Mining Techniques for the Telecommunication Industry in Australia

2016 ◽  
Vol 20 ◽  
Author(s):  
Md Zahidul Islam ◽  
Steven D’Alessandro ◽  
Michael Furner ◽  
Lester Johnson ◽  
David Gray ◽  
...  
Keyword(s):  
Data Mining ◽  
Mobile Phone ◽  
Domain Knowledge ◽  
Service Providers ◽  
Mobile Service ◽  
Data Mining Techniques ◽  
Brand Switching ◽  
Switching Patterns ◽  
Switching Models ◽  
Mobile Phone Usage

There is more than one mobile-phone subscription per member of the Australian population. The number of complaints against the mobile-phone-service providers is also high. Therefore, the mobile service providers are facing a huge challenge in retaining their customers. There are a number of existing models to analyse customer behaviour and switching patterns. A number of switching models may also exist within a large market. These models are often not useful due to the heterogeneous nature of the market. Therefore, in this study we use data mining techniques to let the data talk to help us discover switching patterns without requiring us to use any models and domain knowledge. We use a variety of decision tree and decision forest techniques on a real mobile-phone-usage dataset in order to demonstrate the effectiveness of data mining techniques in knowledge discovery. We report many interesting patterns, and discuss them from a brand-switching and marketing perspective, through which they are found to be very sensible and interesting.

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