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Decision Units: G8 Countries and Turkey 

Decision Units: G8 Countries and Turkey 

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In recent years, there has been a fierce competition in the telecommunication sector. Technologic competition has made the competition in the sector a kind of strategic war. The sector of which role increased in terms of economic developments has entered a reconstruction process at an equal rate in all countries. In fact, countries which apprehend...

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... To reduce costs and maximize revenues, the process has to operate at the most productive scale, which is CRTS [13][14][15]. The traditional DEA models for evaluating DMUs relative efficiency in various business applications [16][17][18][19][20]. ...
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... Globally, the telecommunication industry is a critical indicator of economic development and this industry has witnessed tremendous improvements in recent years. In this regard, most countries worldwide seek to strengthen their telecommunication sectors because of the increasing competition (Diskaya et al., 2011). Oman's telecommunication sector greatly contributes to Omani society, businesses, and overall economic growth. ...
... The telecommunication sector has achieved its strategic plans by improving access to services, providing many choices to consumers, adopting developed technology for performance improvement, creating new job opportunities, and improving the quality of life of citizens and residents. At the same time, the telecommunication sector has experienced various crises during its history, in particular the global financial crisis which took place from 2007 to 2010 when the sector's performance has been affected especially in the G8 countries consisting of Canada, Russia, United Kingdom, USA, Italy, Japan, France, and Germany (Diskaya et al., 2011). ...
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... All entities in the digital ecological unit are now in search of innovative points of differentiation in order to take full advantage of their share of customer spending. As a result, issues of competition and collaboration have certainly not been more prominent ( Diskaya et al, 2011). ...
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The purpose of this study was to examine the effect of total customer strategic positioning as envisaged in the Delta Model on Organizational performance. The target population consists of 6,149 front office employees of the four major telecommunication firms in Kenya namely Safaricom, Airtel, Orange and Equitel. The study covered five major cities and towns in Kenya namely Nairobi, Mombasa, Kisumu, Nakuru and Eldoret. Data was collected from 144 respondents drawn from a cross-section of employees specifically those in front office as they are directly involved in the day to day customer service. The response rate of the total questionnaires issued was 83%. A descriptive survey research design was used in this study. Questionnaires were used to collect the data. Analysis of the survey responses was done by means of Statistical Package for Social Sciences (SPSS). Pearson Correlation along with multiple regressions were used in data analysis and the testing of hypotheses. Pearson correlation was used to establish the association between the strategic position and organizational performance. The findings of the study revealed that total customer solution strategic option had a significant coefficient (=0.295, p value= 0.000). This implies that total customer solutions strategic option had a positive significant effect on organization performance. The findings of the research revealed that a change in the government regulations had a positive and very significant effect on the performance of the telecommunication companies in Kenya. This is revealed by the results which shows that there is a weak, positive correlation which is significant (R = 0.358; p-value <0.05) government regulations and organizational performance of telecommunication firms in Kenya. The study concluded that the total customer solution strategic positioning had not only a positive correlation but also significant effect on the organizational performance of the telecommunication companies in Kenya. The study also concluded that with appropriate government regulations the strategic positions studied will enhance organizational performance in the telecommunication industry in Kenya. The study recommends that managers need to focus on the use total customer strategic position in order to achieve a great organizational performance in their respective organizations. To policy makers the study recommends formulations of good and effective government regulations which in turn will enhance organizational performance.
... All entities in the digital ecological unit are now in search of innovative points of differentiation in order to take full advantage of their share of customer spending. As a result, issues of competition and collaboration have certainly not been more prominent (Diskaya et al, 2011). ...
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The purpose of this study was to examine the effect of best strategic positioning as envisaged in the Delta Model on Organizational performance. The target population consists of 6,149 front office employees of the four major telecommunication firms in Kenya namely Safaricom, Airtel, Orange and Equitel. The study covered five major cities and towns in Kenya namely Nairobi, Mombasa, Kisumu, Nakuru and Eldoret. Data was collected from 144 respondents drawn from a cross-section of employees specifically those in front office as they are directly involved in the day to day customer service. The response rate of the total questionnaires issued was 83%. A descriptive survey research design was used in this study. Questionnaires were used to collect the data. Analysis of the survey responses was done by means of Statistical Package for Social Sciences (SPSS). Pearson Correlation along with multiple regressions was used in data analysis and the testing of hypotheses. Pearson correlation was used to establish the association between the strategic positions and organizational performance while multiple regressions were used to find out the amalgamated influence on the four strategic positions on organizational performance. The study established through multiple regression that best product strategic position had a significant coefficient (β =0.152, p value= 0.031) which implies that best product strategic positioning had a positive effect on organizational performance. The study concluded that the Best product strategic positioning had not only a positive correlation but also significant effect on the organizational performance of the telecommunication companies in Kenya. The study recommends that managers need to focus on the Best product strategic position in order to achieve a great organizational performance in their respective organizations.
... All entities in the digital ecological unit are now in search of innovative points of differentiation in order to take full advantage of their share of customer spending. As a result, issues of competition and collaboration have certainly not been more prominent (Diskaya et al, 2011). ...
... They found out that TFP of the sector is increased by 8.1% per year, nearly 4 times more than manufacturing industry. Diskaya et al. [14] benchmarked the productivity change of nine telecom companies in G8 countries and Turkey for the years between 2007 and 2010. Their results show that only Verizon, NTT, Deutsche Telekom and France Telecom has positive TFP change. ...
... In addition, the variables should be applicable for the whole ICT industry, have the same meaning across different tax regimes and reporting standards and be publicly available (e.g. annual reports, fillings etc.). Therefore, we used revenue as the output, which is one of the most important and common objectives in previous DEA applications [5,8,14,29,35,39]. In the same fashion, total assets [8], capital expenditure [10,14,35], total equity [8] and number of employees [5,8,14,29,35,39] are selected as the inputs. ...
... Therefore, we used revenue as the output, which is one of the most important and common objectives in previous DEA applications [5,8,14,29,35,39]. In the same fashion, total assets [8], capital expenditure [10,14,35], total equity [8] and number of employees [5,8,14,29,35,39] are selected as the inputs. ...
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This study benchmarks the cross-layer productivity of information and communications technologies (ICT) for the period between 1996 and 2015. Our results display that layer 3 companies (platforms, e-commerce, content and software) are the drivers of productivity growth within the ICT industry in the recent years. In contrast, layer 2 companies (network operators) score lower in efficiency than the other layers and experience a continuous decline in average productivity since mid-2000s. We note that, the key financial performance indicators signal a slowdown in the ICT industry since 2011, after when average increase rates of revenues and total assets dropped significantly. The stagnation is severer for network operators, which have been the main investors of the networks on which ICT rises.