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Deep Churn Prediction Method for Telecommunication Industry
Being able to predict the churn rate is the key to success for the telecommunication industry. It is also important for the telecommunication industry to obtain a high profit. Thus, the challenge is to predict the churn percentage of customers with higher accuracy without comprising the profit. In this study, various types of learning strategies are investigated to address this challenge and build a churn predication model. Ensemble learning techniques (Adaboost, random forest (RF), extreme randomized tree (ERT), xgboost (XGB), gradient boosting (GBM), and bagging and stacking), traditional classification techniques (logistic regression (LR), decision tree (DT), and k-nearest neighbor (kNN), and artificial neural network (ANN)), and the deep learning convolutional neural network (CNN) technique have been tested to select the best model for building a customer churn prediction model. The evaluation of the proposed models was conducted using two pubic datasets: Southeast Asian telecom industry, and American telecom market. On both of the datasets, CNN and ANN returned better results than the other techniques. The accuracy obtained on the first dataset using CNN was 99% and using ANN was 98%, and on the second dataset it was 98% and 99%, respectively.
Journal Article
Netflixھ : how Reed Hastings changed the way we watch movies & TV
Netflix was once only an idea in the mind of Reed Hastings, a businessman who has done amazing things since starting the online movie and TV company. Discover how Reed was able to make Netflix a success around the world and find out what he has planned next to keep the company on top.
BOOK
Choice and performance of governance mechanisms: matching alliance governance to asset type
Formal and relational governance mechanisms are used in strategic alliances to coordinate resources and mitigate the risk of opportunistic behavior. While recent work has shown that these approaches are not mutually exclusive, we understand little about when one approach is superior to the other. Using data on the governance choices and subsequent performance of alliances in the German telecommunications industry, we find that the optimal configuration of formal and relational governance mechanisms depends on the assets involved in an alliance, with formal mechanisms best suited to property-based assets and relational governance best suited to knowledge-based assets. Furthermore, a mismatch between governance mechanisms and asset type can harm the performance of the alliance. Our findings contribute to transaction cost economics, the literature on relational governance, and recent work studying their interaction.
Journal Article
Reed Hastings and Nexflix
This title introduces readers to Reed Hastings, founder of Netflix,and a pioneer in the development of streaming entertainment.
BOOK
Growing pains: Pre-entry experience and the challenge of transition to incumbency
We examine how entrepreneurial entry by diversifying and de novo firms in new industries leads to different levels of performance. We propose that these types of firms differ in dynamic capabilities, which help them overcome growth impediments and transition to incumbency in the industry. Growth impediments arise at larger size, older tenure levels in industry, and after technological discontinuities. Because of their prior experience, diversifying firms are better equipped to handle the challenges of impediments to growth. Meanwhile, de novo firms, ostensibly tailor-made for the targeted industry, are more likely to stumble over these growth challenges, and eventually lag behind diversifying firms. We find support for our hypotheses using a near census of firms in the U.S. wireless telecommunications industry over the 1983-2004 period.
Journal Article
Signal traffic : critical studies of media infrastructures
\"The contributors to Signal Traffic investigate how the material artifacts of media infrastructure--transoceanic cables, mobile telephone towers, Internet data centers, and the like--intersect with everyday life. Essayists confront the multiple and hybrid forms networks take, the different ways networks are imagined and engaged with by publics around the world, their local effects, and what human beings experience when a network fails. Some contributors explore the physical objects and industrial relations that make up an infrastructure. Others venture into the marginalized communities orphaned from the knowledge economies, technological literacies, and epistemological questions linked to infrastructural formation and use. The wide-ranging insights delineate the oft-ignored contrasts between industrialized and developing regions, rich and poor areas, and urban and rural settings, bringing technological differences into focus. Contributors include Charles R. Acland, Paul Dourish, Sarah Harris, Jennifer Holt and Patrick Vonderau, Shannon Mattern, Toby Miller, Lisa Parks, Christian Sandvig, Nicole Starosielski, Jonathan Sterne, and Helga Tawil-Souri\"-- Provided by publisher.
Book
Impact of Capital Structure on Profitability: Panel Data Evidence of the Telecom Industry in the United States
Debt finance, when considered a source of finance, always leads to financial risk; however, it is also considered a source of increased profitability in the normal business scenario. It has always been challenging to find the correct debt equity combination. In the discussed sample of the telecom industry in the USA, an abnormally high total liability-to-total assets ratio was observed. Thus, it is inclined to investigate the capital structure (CapSt) effect on firms’ profitability. By taking annual data of the telecom industry from 2012 to 2020 in the USA, unbalanced cross-sectional data (panel data) comprising 421 firm-year observations for 72 firms were studied using pooled panel regression, univariate analysis, correlation, and descriptive statistics models. We decided to test the impact of CapSt (Total Liabilities to Total Assets (TLsTAs) and Total Equity to Total Assets (TETAs)) on the profitability (Return on Assets (ROA) and Return on Equity (ROE)) of firms in the telecommunication industry in the USA. The results reveal that the ratio of TLsTAs has a significant impact on ROA, and TETAs has a significant impact on ROA. However, TLsTAs and TETAs have no impact on ROE.
Journal Article
Make your own rules : stories and hard-earned advice from a creator in the digital age
\"How does a musician with acute hearing loss, a refusal to perform live, and no industry connections carve a path to millions of followers and lucrative royalty checks? In Make Your Own Rules, Andrew Huang shares stories from his two decades as a music industry misfit and offers advice on both the artistic and business sides of working as a creator in our digital era.\"--Amazon.
Book
Examining the relationship between strategic alliances and the performance of small entrepreneurial firms in telecommunications
An alliance is an effective strategy for knowledge-intensive businesses in competition. Yet, little is known about how strategic alliances work within small firms in the telecommunications industry, which plays an essential part in the COVID-19 pandemic infrastructure. The purpose of this article is to examine the impact of strategic alliance on firm performance among small entrepreneurial firms (SEFs) in the telecommunications industry. The study uses structural equation modeling to analyze primary data obtained from a sample of 74 small entrepreneurial firms in the telecommunications sector. We find that strategic alliances significantly and positively impact partners’ performance in terms of financial, operational, and organizational effectiveness among small entrepreneurial firms in the telecommunication sector. Drawing on the findings, we recommend small entrepreneurial firms pay particular attention to pre-alliance and post-alliance issues, including partner similarity, alliance experience, partner’ reputation, complementary skills, industry scope, commitment to improving trust and skill, and collaboration to boost performance. In addition, based on the results of this study, we discuss research implications for challenges of telecommunications SEFs in the time of the COVID-19 pandemic crisis.
Journal Article