Anlesinya et al (2014)16 examined whether corporate social
responsibility has significant positive effect on the financial performance of
MTN Ghana Limited. The study administered questionnaire on 35 management staff
of MTN Ghana Limited, employed standard multiple regression and hierarchical multiple
regression for the analysis. The research results showed that CSR at the
aggregate level did not have significant positive effect on financial
performance but community CSR has a positive while environmental CSR has
negative effect on financial performance of MTN Ghana Limited. The study
however has left key performance indicators of MTN Ghana unexplored lending
support for a more comprehensive study in that regard. Vadiraj and Narahari
(2014)1 attempted to develop a model that could predict the future trends of
average revenue per user (ARPU) so that telecom service providers could
formulate a strategy to increase their ARPU. The study using a multiple linear
regression has been able to explain that subscriber base; number of operators
and percentage of new users added periodically are the main determinants of
average revenue per user (ARPU). Rahul and Xue (2012)17 attempted to examine
the relationship between some selected factors and their contribution to the
revenue of the Telecom industries in China and India. Using time series data
collected from secondary sources from 2000 to 2010 on number of subscribers,
technology innovation, and government regulation and policies, their granger
causality test found no causality running from number of subscribers to the
revenue of the telecom Industry in both China and India. They however found a
causality running from technological innovation to the revenue of the Telecom
Industries in both countries. Shmelev (2013)18 developed a model for
calculating Telecom Company’s revenue and margin indicators. The study crafted
the model for calculating the revenue of Telecom companies based on the
Business Metric Framework (BMF) developed by the TeleManagement Forum, a global
non-profit association for service providers in the Telecommunication sector.
Examining the relationship between the two categories of KPIs in the BMF, the
study concluded that it is possible to create a function depending on the target
KPIs lower levels, to calculate the final financial indicator at given rates
and obtain a performance management tool based on key performance indicators.