With the development of technology, the speed of data generation has increased, and parallel to t... more With the development of technology, the speed of data generation has increased, and parallel to this, the speed of producing solutions to the demands of technology users has increased. In today's world, the most important factor affecting the rate of data production is the proliferation of data sources. Nowadays technology has entered the lives of end- users in many different ways from smartphones to wearable technology products. The most important focal points of the solutions developed today are; IoT and big data and data analytics solutions are also available because of the increasing use of mobile internet and the fact that data can be collected significantly from mobility and objects. By making the data collected from the objects meaningful, different solutions have started to be developed in many industries. This great transformation in technology has made the digitalization one of the main focuses of companies (Nylén and Holmström, 2015). With digital transformation, many technologies such as cloud computing, big data, internet of things, machine learning have entered our lives. As a result of this great impact, digitalization works are carried out in many areas from services and services to sales channels in almost every industry. For example, we see smart agricultural applications, smart-city and smart-home applications. With its wide range of solutions, digitalization enters our lives as a factor that increases competition. Developing competition has led companies to provide faster and higher quality services, to produce solutions to customer problems in the fastest and optimum level, to reduce infrastructure problems, to increase their ability to perform proactive maintenance. Operational efficiency is a factor that has a direct impact on companies' costs and service quality. Technologies such as machine learning, big data and robotics process automation, which are developed with digitalization, provide various opportunities to increase operational efficiency. Moreover, with the help of machine learning technologies in customer services, there are some applications such as chatbot, virtual assistant, vi predictive maintenance analysis applications, monitoring of capacity usage trends, automation of routine works with RPA solutions (Schreiber, et al., 2018). When we look at the last decade of the telecommunications industry, it is seen that the revenues of voice, mobile and fixed services decreased (Caylar, Ménard, 2016). As a result, telecommunication operators have turned to business models to develop innovative products and services and to reduce operational efficiency and costs. In this study, the effect of digitalization on operational efficiency in the Turkish Telecommunications industry will be investigated. In order to analyze the relationship between digitalization and operational efficiency, senior executives working in companies in the telecommunications industry were interviewed. In the first part, the historical development of digitalization and its effects on business models in this development process are emphasized. In the second part, the concept of operational efficiency is examined. In the third chapter, the developments in the telecommunication industry and the effects of digitalization on the telecommunication industry are examined. In the last section, the research conducted by interview method and the findings obtained as a result of this research is given in order to investigate the effect of digitalization on operational efficiency.
With the development of technology, the speed of data generation has increased, and parallel to t... more With the development of technology, the speed of data generation has increased, and parallel to this, the speed of producing solutions to the demands of technology users has increased. In today's world, the most important factor affecting the rate of data production is the proliferation of data sources. Nowadays technology has entered the lives of end- users in many different ways from smartphones to wearable technology products. The most important focal points of the solutions developed today are; IoT and big data and data analytics solutions are also available because of the increasing use of mobile internet and the fact that data can be collected significantly from mobility and objects. By making the data collected from the objects meaningful, different solutions have started to be developed in many industries. This great transformation in technology has made the digitalization one of the main focuses of companies (Nylén and Holmström, 2015). With digital transformation, many technologies such as cloud computing, big data, internet of things, machine learning have entered our lives. As a result of this great impact, digitalization works are carried out in many areas from services and services to sales channels in almost every industry. For example, we see smart agricultural applications, smart-city and smart-home applications. With its wide range of solutions, digitalization enters our lives as a factor that increases competition. Developing competition has led companies to provide faster and higher quality services, to produce solutions to customer problems in the fastest and optimum level, to reduce infrastructure problems, to increase their ability to perform proactive maintenance. Operational efficiency is a factor that has a direct impact on companies' costs and service quality. Technologies such as machine learning, big data and robotics process automation, which are developed with digitalization, provide various opportunities to increase operational efficiency. Moreover, with the help of machine learning technologies in customer services, there are some applications such as chatbot, virtual assistant, vi predictive maintenance analysis applications, monitoring of capacity usage trends, automation of routine works with RPA solutions (Schreiber, et al., 2018). When we look at the last decade of the telecommunications industry, it is seen that the revenues of voice, mobile and fixed services decreased (Caylar, Ménard, 2016). As a result, telecommunication operators have turned to business models to develop innovative products and services and to reduce operational efficiency and costs. In this study, the effect of digitalization on operational efficiency in the Turkish Telecommunications industry will be investigated. In order to analyze the relationship between digitalization and operational efficiency, senior executives working in companies in the telecommunications industry were interviewed. In the first part, the historical development of digitalization and its effects on business models in this development process are emphasized. In the second part, the concept of operational efficiency is examined. In the third chapter, the developments in the telecommunication industry and the effects of digitalization on the telecommunication industry are examined. In the last section, the research conducted by interview method and the findings obtained as a result of this research is given in order to investigate the effect of digitalization on operational efficiency.
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Papers by Kenan Yıldız
This great transformation in technology has made the digitalization one of the main focuses of companies (Nylén and Holmström, 2015). With digital transformation, many technologies such as cloud computing, big data, internet of things, machine learning have entered our lives. As a result of this great impact, digitalization works are carried out in many areas from services and services to sales channels in almost every industry. For example, we see smart agricultural applications, smart-city and smart-home applications.
With its wide range of solutions, digitalization enters our lives as a factor that increases competition. Developing competition has led companies to provide faster and higher quality services, to produce solutions to customer problems in the fastest and optimum level, to reduce infrastructure problems, to increase their ability to perform proactive maintenance.
Operational efficiency is a factor that has a direct impact on companies' costs and service quality. Technologies such as machine learning, big data and robotics process automation, which are developed with digitalization, provide various opportunities to increase operational efficiency. Moreover, with the help of machine learning technologies in customer services, there are some applications such as chatbot, virtual assistant,
vi
predictive maintenance analysis applications, monitoring of capacity usage trends, automation of routine works with RPA solutions (Schreiber, et al., 2018).
When we look at the last decade of the telecommunications industry, it is seen that the revenues of voice, mobile and fixed services decreased (Caylar, Ménard, 2016). As a result, telecommunication operators have turned to business models to develop innovative products and services and to reduce operational efficiency and costs.
In this study, the effect of digitalization on operational efficiency in the Turkish Telecommunications industry will be investigated. In order to analyze the relationship between digitalization and operational efficiency, senior executives working in companies in the telecommunications industry were interviewed.
In the first part, the historical development of digitalization and its effects on business models in this development process are emphasized. In the second part, the concept of operational efficiency is examined. In the third chapter, the developments in the telecommunication industry and the effects of digitalization on the telecommunication industry are examined. In the last section, the research conducted by interview method and the findings obtained as a result of this research is given in order to investigate the effect of digitalization on operational efficiency.
This great transformation in technology has made the digitalization one of the main focuses of companies (Nylén and Holmström, 2015). With digital transformation, many technologies such as cloud computing, big data, internet of things, machine learning have entered our lives. As a result of this great impact, digitalization works are carried out in many areas from services and services to sales channels in almost every industry. For example, we see smart agricultural applications, smart-city and smart-home applications.
With its wide range of solutions, digitalization enters our lives as a factor that increases competition. Developing competition has led companies to provide faster and higher quality services, to produce solutions to customer problems in the fastest and optimum level, to reduce infrastructure problems, to increase their ability to perform proactive maintenance.
Operational efficiency is a factor that has a direct impact on companies' costs and service quality. Technologies such as machine learning, big data and robotics process automation, which are developed with digitalization, provide various opportunities to increase operational efficiency. Moreover, with the help of machine learning technologies in customer services, there are some applications such as chatbot, virtual assistant,
vi
predictive maintenance analysis applications, monitoring of capacity usage trends, automation of routine works with RPA solutions (Schreiber, et al., 2018).
When we look at the last decade of the telecommunications industry, it is seen that the revenues of voice, mobile and fixed services decreased (Caylar, Ménard, 2016). As a result, telecommunication operators have turned to business models to develop innovative products and services and to reduce operational efficiency and costs.
In this study, the effect of digitalization on operational efficiency in the Turkish Telecommunications industry will be investigated. In order to analyze the relationship between digitalization and operational efficiency, senior executives working in companies in the telecommunications industry were interviewed.
In the first part, the historical development of digitalization and its effects on business models in this development process are emphasized. In the second part, the concept of operational efficiency is examined. In the third chapter, the developments in the telecommunication industry and the effects of digitalization on the telecommunication industry are examined. In the last section, the research conducted by interview method and the findings obtained as a result of this research is given in order to investigate the effect of digitalization on operational efficiency.