Arithmetic Optimization with Deep Learning Enabled Churn Prediction Model for Telecommunication Industries

Customer retention is one of the challenging issues in different business sectors,and variousfirms utilize customer churn prediction(CCP)process to retain existing customers.Because of the direct impact on the company revenues,particularly in the telecommunication sector,firms are needed to design effective CCP models.The recent advances in machine learning(ML)and deep learning(DL)models enable researchers to introduce accurate CCP models in the telecom-munication sector.CCP can be considered as a classification problem,which aims to classify the customer into churners and non-churners.With this motivation,this article focuses on designing an arithmetic optimization algorithm(AOA)with stacked bidirectional long short-term memory(SBLSTM)model for CCP.The proposed AOA-SBLSTM model intends to proficiently forecast the occurrence of CC in the telecommunication industry.Initially,the AOA-SBLSTM model per-forms pre-processing to transform the original data into a useful format.Besides,the SBLSTM model is employed to categorize data into churners and non-chur-ners.To improve the CCP outcomes of the SBLSTM model,an optimal hyper-parameter tuning process using AOA is developed.A widespread simulation analysis of the AOA-SBLSTM model is tested using a benchmark dataset with 3333 samples and 21 features.The experimental outcomes reported the promising performance of the AOA-SBLSTM model over the recent approaches.

Analysis of the Evolution and Influence on the Industrial Value Chain in Telecommunications

This paper discusses the evolution of telecommunication industrial value chain （TIVC）, analyzes the influence of technical innovation and customer demand on TIVC, and establishes the model. The appearance of the circuit switching technology and packet switching technology together with the diversity of the demand of customers change the structure of TIVC, causing vibration in value creation and distribution systems. With changes of the TIVC, enterprises in the chain will accordingly alter their business models, products （services） and the internal organizational structures. All these changes will lead to the reconstruction and optimization of the TIVC, and consequently, promote the development of the telecommunication industry.

Application of a cost-sensitive method for churn prediction in telecommunication industry

To deal with the data mining problem of asymmetry misclassification cost, an innovative churn prediction method is proposed based on existing churn prediction research. This method adjusts the misclassification cost based on the C4. 5 decision tree as a baseline classifier, which can obtain the prediction model with a minimum error rate based on the assumption that all misclassifications have the same cost, to realize cost-sensitive learning. Results from customer data of a certain Chinese telecommunication company and the fact that the churners and the non-churners have different misclassification costs demonstrate that by altering the sampling ratio of churners and non-churners, this cost-sensitive learning method can considerably reduce the total misclassification cost produced by traditional classification methods. This method can also play an important role in promoting core competence of Chinese telecommunication industry.

Exploring Enterprise Performance Indicators Network： A Case Study of China Telecommunication Industry

Perforrmnce indicators play some important roles in enterprise operation. Both researchers and managers have recently pointed out that the identification of correlation between different performmance indicators may lead to a better understanding of business. However, it is becoming more and more difficult to measure and analyze these indicators since the fast growing number of performance indicators and the complex relationships between them The existing categories failed to reflect these changes in an adequate way, and the quantitative analysis methods for identifying the characters of those pefformance indicators are still worthy of investigation. The main objective of this paper is to propose a practical methodology for managing and analyzing performance indicators in enterprises, which focuses on building up a performance indicator system and discovering the characters of those performance indicators by applying complex network methods. The empirical results of a telecommunieation enterprise show that the proposed method can be effective in understanding the correlations between performance indicators.

Modeling and Evaluating Telecommunication Industry's “Internet-and-Digitized” Development

This paper systematically investigates telecommunication industry's "internet-and-digitization" development situation. Based on existing literature and the unique characteristics of telecommunication industry, we build a comprehensive model to depict the level of "internet-and-digitization" development by five key dimensions: market size, informational investment, technological innovation, internet application, and internet penetration. We propose that this five-dimensional model can capture the key components of "internet-and-digitization" development in this digital era. By using Beijing's telecommunication data, we empirically test our conceptual model and explore the current development level of telecommunication industry's "internet-and-digitization" progress. Results show that Beijing's telecommunication industry has great potential in expanding online market size as well as activating technological innovation. We also suggest that bigger telecommunication firms should pay more attention to "internet-and-digitization" development, especially on internet application and penetration dimensions. Finally, theoretical contributions, managerial implications and future research directions are also discussed.

Inter-Provincial Development Difference in Information & Telecom Industry in China

This article measures the development difference in the information and telecommunication industry among provinces in China quantitatively by Gini coefficient.According to the calculation results,the article concludes that the development levels are between "highly equal"and "relatively equal".Further more,the research also shows that the difference gap has been narrowing down gradually in recent years.Compared with the inter-provincial economic difference,the difference in the information and telecommunication industry among provinces is small.

Customer Retention: Behaviour Perspective Model of Ghanaian Telecommunication Industry Using Multinomial Regression Analysis

To stay competitive, the mobile telecommunication companies spend millions of Ghana cedi each year on building long-term relationships with their customers. Marketing managers are constantly challenged with the problem of where to channel the limited resources in order to retain existing customers. This study approaches the customer retention problem in the mobile phone sector from a behavioural perspective, applying the Behavioural Perspective Model as the main analytical framework and further exploits some other factors that influence customer retention. The model includes a set of pre-behaviour and post-behaviour factors to study consumer choice, and explains its relevant drivers in a viable and comprehensive way, grounded in radical behaviourism. Data for the analysis were collected from tertiary students from Accra and Takoradi. Data collected were analysed using the multinomial regression technique. Analysis of the data revealed that the Behaviour setting factor is the only significant element in Behaviour Perspective Model. Further exploitation of behaviour situation revealed that the number of networks a customer uses, previous experience of a customer and customer’s intention are significant factors in determining customer retention in Ghana’s mobile telecommunication industry.

Evaluation of CSR Performance of Sudanese Telecommunication Companies： A Case Study

Corporate social responsibility （CSR） has received a lot of attention in the last few decades, from the economic responsibility to generate profits, to the discretionary responsibility to meet extra activities that society finds desirable. Companies are under pressure from the stakeholders to engage in the line of social, environmental, and economical responsibilities. Until now, no research has been conducted on CSR performance using a dataset from the telecommunication industry in Sudan. Hence, this paper has investigated the strategic importance of CSR in a Sudan telecommunication company （Sudatel）. In doing so, the paper has sought to understand whether the concept of CSR programs is featured in the company＇s culture and strategic plans or whether the management of the company is highly committed to CSR programs. Telecommunication companies are expanding in economic size. Considered as the largest industry in the world in terms of employment and the fastest growing area in business, there are many social and economic benefits and opportunities that can be created through investment in the telecommunication infrastructure, which has the potential to enhance sustainable development, especially for developing countries. To investigate this problem, a qualitative case study methodology is used to collect and analyze the data. Results indicate that the CSR concept is part of the company＇s strategic plan and given high commitment from the top management.

The Study of Telecommunicati on Industry Based on the Ecosystem

This paper studies the telecommunication industry from the view points of the ecosystem ecology, in order to gain the beneficial revelation, such as the more effective management method and the approach to enhance the competitive advantage. On the basis of analyzing the comparability and the difference between the telecommunication industry and the natural ecosystem, the approach, principle and content of the study of telecommunication industry based on the ecosystem are discussed.

The research on the substitution effect between the wireless and fixed telecommunication industry

Wireless telecommunication has developed at a rapid pace than the fixed telecommunication since the last decades of twentieth century. This article analyzes the effect wireless mobile telecom substitutes for the fixed telecom by employing the normal theory of substitution and econometrics model. The analytical results are consistent with the reality, and it has been observed that the relation between the wireless and fixed telecommunication industry has changed from state of being complementary in the early last decades of twentieth century to that of being substituted at present. Moreover, the enhanced progress of telecommunication technology especially in wireless areas enriches customers＇ demands in terms of multimedia contents thereby changing their communication style, which significantly promotes the rapid growth of wireless mobile communication and strengthens the effect of the substitute.