Telecommunication Companies Research Articles

A GLOBAL COMPARISON OF CREDIT BUREAUS BASED ON DATA UTILIZATION IN CREDIT SCORING

The basic concept of credit scoring is to assess an individual`s payment ability as well as the specific individual`s credit default risk, hence determining an individual`s creditworthiness. Based on the credit score, financial institutions, insurance companies, telecommunication companies and other businesses decide whether consumers are eligible for a mortgage, credit card, auto loan, and other credit products. However, in many countries, potential tenants and insurance applicants also use credit scores extensively for screening. Accordingly, Credit Bureaus (CB) or Consumer Reporting Agencies (CRA) exert an essential gatekeeper function for important economic areas of consumers’ everyday life. However, when examining CBs globally, there are considerable differences in the use of data to calculate credit scores. Interestingly, the influence of CBs on credit rating receives little to no attention in academic research. This is particularly evident in the absence of a framework for classifying Credit Bureaus. Therefore, 24 traditional and non-traditional Credit Bureaus operating in 17 different countries are analyzed. First, the study identifies the different data types underlying credit reports and credit scores. Second, CBs are classified and clustered according to the type of information used for credit scoring. Furthermore, promising areas of research, in particular the ethical conflict between data protection and economic participation are highlighted.

Challenges and Opportunities of Implementing Education Technology in Rural and Underserved Areas of Tanzania, Assessing the Sustainability and Educational Impact of Such Initiatives

Purpose: The aim of the study was to analyze the challenges and opportunities of implementing education technology in rural and underserved areas of Tanzania, assessing the sustainability and educational impact of such initiatives. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: The implementation of education technology in rural and underserved areas of Tanzania presents both challenges and opportunities. Key challenges include limited access to reliable electricity and internet connectivity, a lack of digital literacy among teachers and students, and insufficient infrastructure and resources to support tech-based learning. Unique Contribution to Theory, Practice and Policy: Diffusion of innovation theory, unified theory of acceptance and use of technology (UTAUT) & socio-constructivist learning theory may be used to anchor future studies on the challenges and opportunities of implementing education technology in rural and underserved areas of Tanzania, assessing the sustainability and educational impact of such initiatives. Teachers should receive ongoing, hands-on training to integrate digital tools into their pedagogy, which would enhance both teaching effectiveness and student engagement. Policies should incentivize telecommunication companies to offer affordable data packages for educational purposes and extend mobile learning platforms to areas with limited connectivity.

A Technological Development Roadmap for Latecomer Telecommunications Companies Based on Industry-Specific Elements and Development Strategies

A Technological Development Roadmap for Latecomer Telecommunications Companies Based on Industry-Specific Elements and Development Strategies

Driving Forces of Strategic Outsourcing in Telecommunication Companies in Tanzania

Abstract This article aims to evaluate the driving forces of outsourcing strategies on the organizational performance of mobile network operators in mainland Tanzania. The objectives are to identify the driving forces of outsourcing and determine the challenges of outsourcing in telecommunication companies. The article adopted a descriptive cross-sectional survey. The selection of mobile companies is based on high market share and operation period. Findings show that customer needs for high-quality services, high-rated change in service, reduction of operational expenditure, and accessing the world’s capability are among the major driving forces for outsourcing. Dependability, loss of security, hidden costs, and selection of competent partners to mention a few are the challenges faced by telecom companies. It is noted that outsourcing enables network operators to advance their organizational performance in terms of operating cost, productivity, profitability, and market share. However, customer satisfaction suffers due to the inconsistency of the quality of service offered. Therefore, it is advised that mobile operators closely monitor outsourcing service providers to ensure that agreed service levels are met, thereby, safeguarding the reputation of the company to customers.

Digital Marketing and Its Impact on Organizational Attraction: An Analytical Study of the Opinions of a Sample of Administrative Leaders in the Public Telecommunications and Information Technology Company

The main purpose of this research is to understand the role of digital marketing in the Public Telecommunications and Information Company by exploring its four dimensions (communication channels, social media, digital relations, and digital technologies) in enhancing its organizational attractiveness. The problem of the research, the company is struggling how to cover all consumer needs and preferences, comprehend their behavior, and set specific objectives to improve organizational attraction, whether to increase subscribers or enhance interactions with other companies. Digital marketing requires sustained time and effort for long-term success, which is why this research aims to provide a set of marketing mechanisms to address the problem, potentially through electronic platforms or social media. To achieve objective of the research, the descriptive-analytical approach was used. A questionnaire was the main tool used to collect data and information was distributed to a sample of the company's middle management leaders (119) in the Public Telecommunications and Information Company. the researchers employed a series of descriptive statistical techniques that included the arithmetic mean, standard deviation, coefficient of variation, and simple regression coefficient by using the statistical program (SPSS. V.26). The results confirmed the significant impact of digital marketing on enhancing the leaders' ability to increase organizational attractiveness, enabling them to execute their assigned activities and tasks more effectively. Paper type: Research paper.

How the Macroeconomic and Financial Structure Affects the Firm Value of a Large Telecommunication Company in Indonesia

TELKOM's strategic initiative, referred to as 5BM, acknowledges the company's considerable assets but notes that it has not yielded substantial profits. To address this, TELKOM has devised this strategy to improve its firm value. This study seeks to contribute to this goal by conducting research focused on analyzing the company's financial structure and evaluating the effects of financial structure, considering macroeconomic factors like interest rates, to enhance its overall value. The research employs a quantitative approach, using TELKOM’s financial data from 2014 to 2024, with variables such as firm size, liquidity ratio, leverage ratio, investment opportunity, efficiency level, profitability, and interest rates. The study applies multiple linear regression to assess the relationships between these independent variables and firm value, using Tobin’s Q as a measure of firm value. Descriptive statistical analysis is also conducted to summarize the characteristics of each research variable. Findings reveal that leverage negatively affects firm value, while firm size, liquidity, investment opportunity, efficiency level, and profitability have positive impacts. Although interest rates and dividend policy also contribute to firm value, their effects are not statistically significant. These results provide insights into the importance of TELKOM's financial structure in enhancing its market valuation

Analysis of the Effect of Financial Performance on Investment Policy in Telecommunication Companies Listed on the Indonesia Stock Exchange

Analysis of the Effect of Financial Performance on Investment Policy in Telecommunication Companies Listed on the Indonesia Stock Exchange

The Impact of Risk Management on Project Success: A Field Study at Humanitarian Organizations in Yemen

The study aimed to determine the impact of risk management (risk identification, risk analysis, risk response and risk monitoring and control) on project success (scope, schedule, cost and quality) at humanitarian organizations operating in Yemen (HOY). The study followed the analytical descriptive approach to meet its objectives. It utilized the simple random technique to select 15 organizations representing 127 HOY and the disproportional stratified random sampling technique to target the respondents. Data was collected through a printed questionnaire from 185 respondents who have roles in managing projects at the targeted organizations. The findings showed that risk management has a significant positive impact on project success. The findings also revealed that among 4 dimensions of risk management process, risk identification and risk monitoring and control were found as the most significant influencers that impact project success at HOY. The study recommends HOY to pay more attention to project risk management to attain higher project success level that ultimately contributes to the performance improvement and sustainability of their organizations. The study also recommends conducting more studies for further confirmations to the hypothesis of the study through testing the study’s variables at industries other than HOY such as banking industries and telecommunications companies.

An empirical study of impact of customer retention policies on users followed by telecom companies

The objective of this study was to examine the effects of customer retention policies followed by various telecom companies in India. In the modern day, rivalry exists throughout each industry or subject. Therefore, the company must preserve its positive reputation. In light of something similar, the company consistently seeks to draw or keep customers to its identity and offerings by stepping up marketing operations that directly or indirectly impact its development and advancement in a cutthroat industry. For the analysis, the study surveyed 200 telecom customers, including mobile operators and DTHs, to determine their views regarding consumer retention policies and set some parameters against which the survey was conducted.The study revealed that the policy of minimizing attrition affects customer retention in the mobile telecom sector. All these strategies help organizations retain existing consumers and attract potential consumers in one way. This study elaborates the conceptual background and definitions of customer retention, importance, key determinants and strategies for consumer retention and examines the effect and role of consumer retention in telecommunication and the scope of consumer retention in the telecom sector.

Multi-Layer Perceptron and Radial Basis Function Networks in Predictive Modeling of Churn for Mobile Telecommunications Based on Usage Patterns

Customer retention is a key priority for mobile telecommunications companies, as acquiring new customers is significantly more costly than retaining existing ones. A major challenge in this field is predicting customer churn—users discontinuing services. Traditional predictive models such as rule-based systems often struggle with the complex, non-linear nature of customer behavior. To address this, we propose the use of deep learning techniques, specifically multi-layer perceptron (MLP) and radial basis function (RBF) networks, to improve the accuracy of churn predictions. However, while neural networks excel in predictive performance, they are often criticized for being “black-box” models, lacking interpretability. A real-world data set is considered, which originally contained information about 15,000 randomly selected clients. Various network structures and configurations are analyzed. The obtained results are compared with results generated using fuzzy rule-based and rough-set rule-based systems. The MLP model achieved an almost perfect accuracy of 0.999 with an F-measure of 0.989, outperforming traditional methods such as fuzzy rule-based and rough-set systems. Although the RBF model slightly lagged in accuracy, it demonstrated a superior recall of 0.993, indicating better identification of potential churners. These results demonstrate that neural network models significantly enhance predictive performance in churn modeling. The interpretability of the model is also discussed since it bears significance in real applications. Our contribution lies in showing that deep learning methods significantly enhance churn prediction accuracy, though the challenge of model interpretability remains a critical area for future work.

The Influence of Economic Variables on Stock Prices of Telecommunications Companies

The general background fluctuation of stock prices is a critical concern for investors, particularly in dynamic economic environments where various indicators can significantly impact financial performance. The specific background of this study focuses on the telecommunications sector, which has been increasingly influenced by economic variables such as the Inflation Rate, SBI Interest Rate, Earnings Per Share, Rupiah Exchange Rate, and Company Fundamentals. Despite existing research, there is a knowledge gap regarding how these factors collectively influence stock prices in publicly listed telecommunications companies. This study aims to investigate the effects of these economic variables on stock prices from 2020 to 2023, utilizing a quantitative approach with secondary data obtained from annual financial reports of 16 companies. The results demonstrate that all examined variables—Inflation Rate, SBI Interest Rate, Earnings Per Share, Rupiah Exchange Rate, and Company Fundamentals—significantly affect stock prices. The novelty of this research lies in its comprehensive analysis of the interplay between these economic indicators specifically within the telecommunications sector. The implications of these findings suggest that investors and policymakers should consider these economic factors when making investment decisions, thereby enhancing their financial strategies and contributing to a more robust understanding of stock market dynamics in the telecommunications industry. Highlights: All examined economic variables significantly affect stock prices. The study analyzes data from 16 publicly listed telecommunications companies. Findings enhance investment strategies and understanding of market dynamics. Keywords: Inflation, Interest Rate, Earnings Per Share, Exchange Rate, Stock Price

Cyber Security Exploits and Management in Telecommunication Companies: The Case of Uganda

This study examined the risks faced by telecommunication companies due to cyber-attacks and threats to their critical information infrastructure. It suggests control measures to avert the vulnerabilities of such infrastructure to cyber attackers. Critical information infrastructure is important to the companies as a revenue enabler and reputation identifier. However, the infrastructure, if not well protected, can be a national security threat, affect the national economy, and disrupt societal integration and business globally. Cyber security is the protection of internet-connected systems, including hardware, software, people, and data, from cyber-attacks. Its threat exploits the increased complexity and connectivity of critical infrastructure systems. The identification of the critical information infrastructure was done through document analysis and discussion with the network technical teams. The infrastructure systems, such as devices, servers, data, database, firewall, and network, were identified in this study as vulnerable to attack. This study suggests a framework to support timely intrusion detection and for the protection of critical information infrastructure. To secure and safeguard the critical information infrastructure from inherent vulnerabilities, it is recommended that continuous monitoring of the critical infrastructure attack gates should be made part of the overall risk management of a telecommunication company, and innovations in cyber security detection and prevention should be harnessed.

The Relationship Between Sustainable Marketing and Customer Retention An Empirical Study on Customers of Telecom Companies in the Arab Republic of Egypt

خلفية الدراسة ومشكلتها: تحاول الدراسة استكشاف العلاقة بين التسويق المستدام والاحتفاظ بالعملاء. الأهداف: هدف هذا البحث إلى دراسة العلاقة بين التسويق المستدام والاحتفاظ بالعملاء، في مجال التطبيق وهو عملاء شركة الاتصالات في جمهورية مصر العربية. واعتمد البحث فلسفة المنهج الوضعي، ونظريتي التحليل الكمي والنوعي كمنهجية للبحث كمـا استخدم المدخل الاستنتاجي. الطرق المستخدمة: الأداة المستخدمة لجمع البيانات هي الاستبانة. وبالتالي، تم جمع (440) استبانةً قابلة للاستخدام إلكترونيًّا عبر قنوات التواصل الاجتماعي من العاملين بشركات الاتصالات في جمهورية مصر العربية. بالإضافة إلى استخدام برنامج SPSS لاستكشاف العلاقات السببية بين متغيّرات البحث. النتائج: تكشف النتائج أنّ التسويق المستدام له تأثير إيجابي على الاحتفاظ بالعميل. الاستنتاجات (التوصيات والمساهمة): بالإضافة إلى ذلك، فإنّ هذا البحث له أيضًا توصيات عملية ومبادئ توجيهية كبيرة لصناعة الاتصالات، وآثار نظرية للباحثين المهتمين بمتغيرات البحث.

The Effect of Relationship Marketing on Brand Advocacy “An Applied Study on Mobile Telecommunication Companies in Palestine”

The Effect of Relationship Marketing on Brand Advocacy “An Applied Study on Mobile Telecommunication Companies in Palestine”

Contribution of the Telecommunications Industry to Sustainable Development Goals within the Framework of SASB General Issue Categories: The Case of a Telecommunications Company

Sustainable development is an important issue that shapes the future of our planet by addressing economic, social and environmental factors. The United Nations (UN) has set 17 Sustainable Development Goals (SDGs) to ensure sustainable development, the success of which depends on global cooperation and joint efforts. The SDGs set out the environmental, social and economic sustainability issues to be achieved by 2030. Private sector efforts have an important role in achieving these goals. As a result of social responsibility and stakeholder demands, companies share their sustainability activities and the SDGs to which these activities contribute through reports. Telecommunications companies also have the potential to play a key role in achieving many SDGs through the innovative, accessible and inclusive digital infrastructure systems they provide. This study’s goal is to reveal the impact of the telecommunications industry on the SDGs through the Sustainability Accounting Standards Board's (SASB) General Issue Categories (GIC). In this context, a methodological framework developed by SASB to identify important sustainability issues across sectors and industries matched SDGs with 26 general sustainability issues. In this framework, SDG impact indices were calculated for the technology and communication sector, which includes the telecommunications industry, and for a telecommunications company operating in Turkey, and SDG impact at the sector, industry and company level was tried to be revealed. According to the calculations, it was concluded that the goal known as SDG 9, which was established to establish strong infrastructures, support sustainable industrialization and strengthen and expand innovation, has an impact score of 37.50% for the telecommunication services industry, 31.25% for the technology&communication sector and 31.25% for the sample telecommunication company. SDG 9 has the highest impact score in telecommunications compared to other SDGs.

Top-up Frequency Forecasting for Lao Telecommunication Company Using Time-Series Analysis

The study aimed to forecast the top-up frequency for Lao Telecommunication Company (LTC) customers using time-series analysis. Accurate forecasts help the company optimize resource allocation, improve customer service, and boost revenue by anticipating customer demand. The time-series analysis techniques are employed, such as autoregressive integrated moving average (ARIMA), seasonal autoregressive integrated moving average + exogenous variables (SARIMAX) and exponential smoothing (ETS) models, to analyze historical top-up data. The data is pre-processed, identified patterns, and trained the model to forecast future top-up frequencies. The model's predictions closely aligned with the actual data, indicating its effectiveness. The ARIMA model produced reliable forecasts for short-term top-up frequencies, showing the best performance overall with the lowest RMSE and MAE, and a positive R-squared indicating some ability to explain the data. SARIMAX and EST both perform poorly, with very high RMSE and MAE, and negative R-squared values. The results demonstrated that time-series analysis could enhance decision-making in the telecommunications industry by enabling better forecasting of customer behavior. This helps in optimizing marketing strategies, inventory management, and service availability.

Sales Promotion and Pricing Strategy in Nigerian Telecommunications Companies

Sales Promotion and Pricing Strategy in Nigerian Telecommunications Companies

Measuring and managing organizational performance based on organizational capitals, service quality and BSC performance outcomes

Purpose The purpose of this paper is to develop and test empirically a new holistic performance measurement model that integrates the best of current performance measurement frameworks and methodologies and builds upon the resource-based view to strategic management. Design/methodology/approach A survey collected responses from 379 top-, middle- and supervisory-level managers from 3 telecommunications service providers in Egypt. The hypothesized direct relationships were tested through multiple linear regression (using SPSS software), and the mediating effect was tested using the structural equation modeling technique (using AMOS software). Findings The results reveal that the proposed model is a reliable and valid instrument for measuring and managing holistic organizational performance. The results also reveal that Egyptian telecommunications companies have primarily emphasized the use of structural and relational capital to enhance their service quality (SQ) and performance outcomes (POs). Moreover, SQ was found to significantly and partially mediate the effect of organizational capitals (OCs) on POs. Research limitations/implications The proposed model is a novel model that needs further investigation using various research designs and multiple research methods to assure its reliability and validity as a holistic performance measurement system. Practical implications The Egyptian telecommunications companies should efficiently manage and leverage all four components of OCs, especially the components of intellectual capital to improve their SQ and consequently enhance their POs. Originality/value To the best of the authors’ knowledge, this is the first research to study the relationships among OCs, SQ and POs, merge them in an integrated performance measurement model and test this model empirically in the Egyptian telecommunications setting.

Customer Service and Loyalty. Case of a Barranquilla Telecommunications Company

Customer Service and Loyalty. Case of a Barranquilla Telecommunications Company

Private commercial companies sharing health-relevant consumer data with health researchers in sub-Saharan Africa: an ethical exploration

ABSTRACT Sharing large digital-first datasets, including for purposes for which they were not originally intended, is a hallmark of the “big data revolution”. Through their routine operations, private commercial companies collect massive amounts of diverse data from their customers, some of which may interest those working in the public sector, such as health researchers. Researchers and government agencies worldwide have been increasingly using data from commercial entities (such as Google, Microsoft, Apple, Facebook/Meta, Twitter/X and Amazon, among others) to generate health-related insights. This article explores ethical issues raised by the practice of commercial companies sharing consumer data with third parties for the purposes of promoting health in the sub-Saharan African (SSA) context. First, as an illustrative example, it examines some of the ways telecommunication (telecom) companies in SSA shared mobility data from cellphone users with public health researchers during the COVID-19 pandemic. Second, it examines a recent debate about the ethical responsibilities of companies that collect, process and share user-generated data, drawing implications for the SSA context. Finally, since this is a relatively understudied subject, we point out some areas where future conceptual and empirical work could contribute to the development of relevant ethics guidance and regulatory governance in SSA.