Telecommunications Industry Research Articles

An in-depth analysis of the evolution and challenges of financial reporting in Nigeria

The evolution of financial reporting in Nigeria has been influenced by a combination of legal systems, global standards, and emerging trends. This article will demonstrate the financial reporting environment in Nigeria in detail such as regulatory bodies, accounting standards, reporting requirements for different entities, tax implications, auditing techniques, corporate governance principles, and emerging issues. The chapter discusses a paradigm shift towards IFRS that took place in 2012, and the obstacles companies faced in adjusting their systems to international norms. The role of regulators, like Federal Republic of Nigeria Financial Reporting Council (FRCN) and Securities and Exchange Commission (SEC), and the impact of legislative amendments, such as Companies and Allied Matters Act (CAMA) 2020, is also looked into in this research. In addition, the article discusses the specific problems encountered in the oil and gas, finance, and telecommunications industries, highlighting the unique accounting issues and regulatory requirements. Furthermore, the ethical side of financial reporting is included, namely honesty, openness, and whistle blowing. We utilised relevant published data (2004–2014) from diverse, reliable databases. The outcome is a clear depiction of the need for joint initiatives by regulators, firms, professional bodies and stakeholders to tackle the challenges present in Nigerian financial reporting and create a climate of transparency and reliability. Keywords: Financial Reporting, Nigeria, International Financial Reporting Standards (IFRS), Corporate Governance, Auditing Practices, Taxation

Using topological data analysis and machine learning to predict customer churn

Customer churn is a common problem faced by many industries, including telecommunication industries. This has resulted in the development of advanced techniques for the prediction and prevention of customer churn. The availability of stored customer data in the form of big data, together with the use of advanced and tuned machine learning (ML) algorithms, have paved the way for the realisation and extraction of useful features associated with customer behaviour and consequently the prediction of customer churn. An effective way to further improve churn prediction capability of different ML algorithms is through the employment of topological data analysis (TDA). TDA is a framework that applies topological methods to uncover the underlying hidden structural features in complex, high-dimensional data. Here, a TDA summary of 0- and 1-dimensional holes of the data, called barcode statistics, was extracted and used as an additional feature to the preprocessed customer data. To address issues such as the effective preprocessing and analysis of large customer datasets and the effective tuning of ML hyperparameters, we implement an advanced data preprocessing technique that consists of different stages such as handling of missing data, feature engineering, encoding of categorical features using the hashing encoding method, and feature selection. Without including barcode statistics in the model, the XGBoost algorithm with tuned hyperparameters achieved the best results, with accuracy of 92.71%, precision of 85.95%, recall of 92.71%, and F-measure of 89.20%. Including barcode statistics as an additional feature, the XGBoost algorithm with tuned hyperparameters achieved the best and much improved results, with accuracy of 98.50%, precision of 98.50%, recall of 98.50%, and F-measure of 98.50%. The use of TDA barcode statistics significantly improved the churn prediction capability of the ML algorithms. In addition, hyperparameter tuning is not needed when an effective data preprocessing technique is used, or when barcode statistics is used. The best accuracy of 98.5% from this work was in line with the best accuracy of 98.7% from a related work, but interestingly, the best precision of 98.5% from this work was superior to the 94.3% precision from the same related work with higher accuracy.

Ensemble learning and deep learning-based defect detection in power generation plants

Abstract One of the key factors driving a country’s economic development and ensuring the sustainability of its industries is the constant availability of electricity. This is normally provided by the national grid. However, the power supply is not always stable in developing countries where new businesses, including the telecommunications industry, are constantly emerging. Therefore, they must rely on generators to ensure their full functionality. These generators rely on fuel to function, and consumption is usually high if not properly monitored. Monitoring is usually done by a (non-expert) human. This can sometimes be a tedious process, as some companies have reported excessively high consumption rates. For anomaly detection in power generating plants, the studies by Mulongo et al. and Atemkeng and Jimoh used the same dataset to train a multilayer perceptron (MLP) and generative adversarial networks (GANs), respectively, achieving an accuracy of 96.1% with MLP and 98.9% with GAN. Through comparative analysis and the use of ensemble learning techniques, we found that ensemble learning models outperform both MLP and GAN as proposed by Mulongo et al. and Atemkeng and Jimoh using the same dataset. Furthermore, we investigated the potential of autoencoders to outperform MLPs, GANs, and ensemble learning models. To this end, we have introduced a label-assisted autoencoder approach for detecting anomalies in power-generating plants. This model includes a labelling assistance module that adjusts the thresholds. Our results indicate that the label-assisted autoencoder outperforms the MLP. However, GANs and all ensemble learning models outperformed the label-assisted autoencoder. Nevertheless, the use of a label-assisted autoencoder offers a distinct advantage in categorizing anomalies based on their severity, a capability not present in ensemble learning models and GANs.

Analisis Current Ratio, Debt To Equity Ratio, dan Total Asset Turnover Terhadap Profitabilitas pada Subsektor Telekomunikasi yang Terdaftar di Bursa Efek Indonesia Periode 2020-2022

In Indonesia’s economic growth, the telecommunications industry has become a growing company along with the rapid development of technology, information and communication. With this growth, it is necessary to compare various financial statements, especially the balance sheet and income statement to determine the profitability of the company’s. The result of this study indicate that Return On Asset in telecommunications subsector listed on the Indonesia Stock Exchange for the 2020-2022 period has decreased drastically. The research method used is descriptive and assiciative with quantitative approach. The population used in the study is the financial statements of the telecommunications subsector listed on the Indonesia Stock Exchange period 2020-2022. The research object are Current Ratio (X1), Debt to Equity Ratio (X2), Total Asset Turnover (X3) and Profitability (Y). The data analysis techniques used intihs study are descriptive statistics and multiple linear regression. The result showed that partially (t test) Current Ratio has no significant effect on profitability, Debt to Equity Ratio has no significant effect on profitability, and Total Asset Turnover has a negative and significant effect on profitability. However, simultaneously (f test) Current Ratio, Debt to Equity Ratio, and Total Asset Turnover have a significant influence on the profitability of the telecommunications subsector listed on Stock Exchange for the period 2020-2022.

Beyond geopolitics: Agency and modularity in mobile telecommunications in Kazakhstan

Much of the discourse on U.S.-China tech decoupling has centered on trade and geopolitics, often overlooking the ground-level realities of developing countries and their strategic digital choices. The telecommunication industry, with its international supply chain and long-term orientation, is a particularly interesting locus to explore distributed and ground-up agency in countries that depend on Western and Chinese tech giants. In this article, we draw on fieldwork in Kazakhstan conducted in 2022 and 2023, primary and secondary sources, to describe the decision-making process in building and maintaining mobile telecom infrastructure. We identify three key constraints shaping this process - market and network structures, distribution and procurement process, and (geo)political and security considerations. Within these constraints, we uncover spaces for agency at different levels and highlight the ability of different actors – from engineers to telecom companies' management - to influence choices in hardware, software and financing. We argue that the strategic role of telecom firms in national economies, the industry's long-term orientation and modularity, and the firms' ownership structures serve as important counterbalances to sudden disruptions caused by international politics. In a digital world increasingly shaped by competition between U.S. and Chinese tech giants, findings from Kazakhstan highlight the potential for developing countries to carve their own digital trajectories and offer a framework for future research to extend this analysis to other sectors and regions.

Investigating the Effects of Motivation and Job Satisfaction on Performance among Telecommunications Employees

This paper explores the relationship between employee motivation, job satisfaction, and performance in Beijing's telecommunications sector. The study proposes a theoretical model that links motivation and job satisfaction as key drivers of job performance, emphasizing how these factors interact to influence employee productivity and organizational outcomes. By reviewing relevant motivation theories and examining job satisfaction in organizational contexts, the paper highlights the critical role of motivation and satisfaction in enhancing employee performance. The framework also suggests that understanding these relationships is crucial for improving human resource management practices in the telecommunications industry. Future research directions include empirical studies across various telecommunications companies and urban centers in China, as well as longitudinal research to track changes in motivation, satisfaction, and performance over time.

The influence of emotional intelligence and employee motivation on employee performance in telecommunication companies in the sultanate of Oman

This study examines the impact of emotional intelligence (EI) and employee motivation on employee performance within the telecommunication industry in the Sultanate of Oman. The target population consisted of 4344 non-managerial employees across nine telecommunication companies, including Omantel, Ooredoo, Vodafone, Oman Broadband Company, Awasr Oman & Co, TEO, Oman Tower Company L.L.C, Helios Tower, and Connect Arabia International. Employing a deductive research approach, finally data were collected via an online survey from 354 respondents. The hypotheses were tested using multiple regression analysis. The results indicate that all dimensions of EI self-awareness, self-regulation, empathy, and social skills positively and significantly influence employee performance, with social skills having the strongest effect. Furthermore, both intrinsic motivation factors, such as work itself and career development, and extrinsic motivation factors, including wages, rewards, working environment, and co-worker relationships, significantly enhance employee performance. The interaction between EI and employee motivation was found to amplify these positive effects. Among control variables, age and education level showed significant impacts, while gender did not. These findings underscore the critical role of both emotional intelligence and motivation in driving employee performance. The study suggests that managers and policymakers should adopt integrated strategies that develop EI competencies and enhance motivational factors to optimize employee performance, thereby contributing to the success of organizations in the telecommunication sector.

Overcoming Product Catalog Challenges in Telecom : A Technical Perspective

This comprehensive article explores the intricate challenges telecom providers face in managing complex product catalogs across multiple customer touchpoints. With the global telecom market projected to reach $2.47 trillion by 2028, efficient catalog management is crucial for maintaining competitiveness and customer satisfaction. The article delves into the multifaceted complexities of telecom product catalogs, including regional pricing variations, dynamic promotional offers, and the need for real-time synchronization across platforms. It outlines key challenges such as catalog complexity, slow data retrieval, frequent updates, third-party integration latencies, high traffic spikes, and campaign management inconsistencies. The article then presents innovative technical solutions and best practices, including the adoption of industry-leading catalog solutions, leveraging ElasticSearch for faster data retrieval, implementing differential processing for updates, preprocessing third-party integrations, utilizing dynamic UI templates, employing advanced campaign management tools, and implementing inventory prefetching. These solutions aim to enhance operational efficiency, improve customer experiences, and accelerate time-to-market in the rapidly evolving telecom industry.

The Influence of Iconnet Product Personal Selling on the Purchase Interest of Housing Residents in Medan City

This study aims to analyze the influence of ICONNET product personal selling on the purchase interest of housing residents in Medan City. The research method used is quantitative with a survey approach. Data were collected through questionnaires distributed to 150 respondents who are housing residents in Medan City. Data analysis was conducted using simple linear regression to test the influence of personal selling on purchase interest. The results of the study indicate that personal selling has a positive and significant influence on the purchase interest of housing residents. Effective personal selling increases consumer purchase interest in ICONNET products. These findings have implications for marketing management that personal selling strategies can be an effective tool to boost sales, particularly in the telecommunications industry in residential areas. Recommendations for future research include adding other variables such as product quality and price to see their effects on purchase interest more comprehensively.

Maturity Assessment of Knowledge Management in the Transition of Organizational Transformation at PT Telkom Indonesia (Persero) Tbk

The telecommunications industry is rapidly and significantly changing due to rising customer demands and digitization. Telecom businesses are exploring new strategies to maintain a competitive advantage. As the biggest telecommunication provider, PT Telkom Indonesia (Persero) Tbk (Telkom) consistently innovates and collaborates to foster a fair digital environment. This drive motivates Telkom to accelerate its transformation and lead Indonesia’s digitalization efforts. During this transformation process, Telkom needs to assess its knowledge management (KM) maturity level. This study will explore Telkom’s KM maturity, highlight gaps, and recommend business solutions. Using a mixed-methods approach, quantitative data were collected from surveys based on the Asian Productivity Organization (APO) framework, while qualitative data were gathered through in-depth interviews. This holistic approach ensures a comprehensive understanding of the key success factors of knowledge management. The research shows that the KM maturity level of Telkom is categorized as the 4th level or refinement level. This level indicates that Telkom’s KM progress aligns with the organization’s vision, mission, objectives, and priorities. However, there is still potential for continuous evaluation and improvement. Based on the data analysis, Telkom can implement several proposed business solutions, informed by 11 key success factors, to enhance the critical programs for organizational transformation.

Roles of Telecommunications Industry and the National Communications Commission, etc. in Suppression of Cybercrime and Terrorism in Nigeria

Roles of Telecommunications Industry and the National Communications Commission, etc. in Suppression of Cybercrime and Terrorism in Nigeria

Tailoring Ruthenium(II) and Rhenium(I) Complexes for Turn-On Luminescent Sensing of Antimony(III)

Antimony (Sb) is currently a widespread element with key roles in telecommunication, sustainable energy, and military industries, among others. Its significant toxicity determines the need to realize sensors for water, air, and soil and the industrial process monitoring of Sb species. Unfortunately, no antimony sensors exist so far, and just laboratory analysis methods are in use. We aimed to contribute to the development of optical sensors for the metalloid by tailoring, for the first time, luminescent Ru(II) and Re(I) polypyridyl complexes to probe and quantify the presence of Sb(III). The molecular design of the complexes includes the multifunctional Sb-binding 2-(2,2′-bithien-5-yl)-1H-imidazo[4,5-f]-1,10-phenanthroline (btip) ligand that ensures the molecular binding of Sb(III) in organic media. The Ru(II)-btip complex is additionally endowed with one 2,2′-bipyrazine (bpz) or two 1,4,5,8-tetraazaphenanthrene (tap) ligands, namely [Ru(bpz)(btip)2]2+ and [Ru(tap)2(btip)]2+, that boost the excited state oxidation potential of the probe, leading to an intramolecular photoinduced electron transfer from btip to the Ru(II) core. The latter is suppressed upon interaction with Sb(III), leading to an 11-fold increase in both the luminescence intensity and lifetime of [Ru(bpz)(btip)2]2+ in the presence of ca. 50 μmol L−1 of SbCl3 in organic medium. The fluorescence intensity of [Re(CO)3(H2O)(btip)]+ also increases upon interaction with Sb(III) but to a much lesser extent due to the intraligand π*→π nature of its emission compared to the Ru(II) ligand-to-metal excited state deactivation. However, the weak π*→d emission band in the red spectral region of the former is quenched by the semimetallic element. The sensing mechanisms of the Ru(II)- and Re(I)-btip probes that allow luminescence intensity (Ru, Re), ratiometric (Ru), and lifetime measurements (Ru) are compared and discussed in this initial solution sensing study.

Comparative Analysis of Conventional (Financial, Network) and Optimized Mixed Integer Linear Programming Scenarios for Telecom Network Investment Decision Making

The telecommunications industry in Indonesia faces numerous challenges in allocating resources for network development, including network complexity, technological changes, market competition, and customer expectations. To achieve optimal financial outcomes and customer satisfaction, investments must be well-managed, well-placed, and well-executed. This study analyses network investment portfolio selection outcomes at Telkomsel; Indonesia's largest cellular operator, comparing conventional scenarios (financial and network) with an optimized scenario using Mixed Integer Linear Programming (MILP). The research evaluates these scenarios based on total portfolio score, incremental revenue, and Internal Rate of Return (IRR). Financial indicators such as net present value (NPV), IRR, EBIT margin, incremental revenue, and network indicators such as capacity and customer satisfaction (download/upload throughput, latency, packet loss, jitter) assess investment feasibility. The MILP optimization scenario strongly correlates with incremental revenue, NPV, and IRR, indicating higher financial performance. Sites selected in the MILP optimization outperscenario formed others in total score (22% better than the financial scenario, 63% better than the network scenario), incremental revenue (3.5% better than the financial scenario, 90.2% better than the network scenario), and portfolio IRR (4% better than the financial scenario, 70% better than the network scenario).

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

Essential of Customer Service on Organizational Growth in the Nigerian Telecommunication Industry

Essential of Customer Service on Organizational Growth in the Nigerian Telecommunication Industry

Optimizing the Transition: Strategies for Migrating On-Premise Storage to the Cloud

In recent years, Cloud Computing has had great relevance and has aroused interest in the Telecommunications industry, due to the reduction of costs in hardware acquisition, maintenance and operation personnel. One of the great advantages of cloud computing is the automation of processes that makes systems more robust and secure by limiting the margin of human and operational errors. It is of utmost importance to consider the large storage capacity management of video files that can provide solutions to media companies or related industries, this is key to think about a cost benefit analysis that can generate the migration and rental of these services in the cloud, with more reliable and accessible systems, this will help us to study hybrid technologies that offer on premise solutions. In addition to the above, when talking about companies that seek to digitally transform themselves to achieve agility and resilience, as well as to support future applications, it is necessary to mention their current infrastructures that have the capacity to host new technologies that require high performance, security and an adequate digital interconnection that allows the correct access to the acquired applications. In this research, an analysis of the existing process models for migration from on-premise storage to the cloud has been made with the objective of identifying the most important challenges, from planning, execution, factors to consider when assessing the complexity of applications and data before migrating to the cloud.

Evaluating the Impact of Network Latency on user Experience in Telecommunication Industries in Ghana

It is evident that the telecommunications industry in Accra, Ghana, has experienced significant growth, aligning with the influx in mobile devices and internet usage. However, the widespread issue of network latency tends to jeopardize and obstruct the overall user experience. This project focuses on assessing the impact of network latency on user experience in telecommunications industries in Accra, Ghana. The aim of this research was to investigate the causes and effects of network latency on user experience and also, evaluate strategies adopted by telecommunications industries to tackle network latency challenges to aid in the improvement of services in the telecommunications industries in Accra, Ghana. The study employs both qualitative and quantitative methods to conduct a survey where data on user experience and network latency statistics, alongside, interviews with industry experts were acquired. By employing descriptive and inferential statistics, including regression analysis, the study used textual analysis to gain insight from the industry experts. The expected outcome is a comprehensive report that will spotlight the underlying causes, examine the impacts and suggest remedial measures, resulting in implementable steps for enhancement in telecommunications industries. The significance of this project is found in making contribution to the intellectual resource surrounding network latency and its effects on user experience in telecommunications industries in Accra, Ghana. The findings impart understanding to telecommunications industries in Accra, Ghana, facilitating their ability to enhance overall network performance and user experience. In summary, the study pledges a beneficial influence on users, establishing an atmosphere where telecommunications industries in Accra, Ghana provide an ideal and satisfying experiences.

Internal core Competencies and Competitive Advantage in Telecommu-nication Industry. A case of Mobile Telecommunication Network Rwanda

In the current demanding economic landscape, organizations must consistently reassess and innovate to stay pertinent in their operational sphere, particularly in highly competitive environments. This study aimed to investigate the influence of internal core competencies on organizational competitive advantage, focusing specifically on MTN Rwanda. Guided by three specific objectives, this research assessed the influence of management qualifications, the perception of innovation, and intellectual capital on the organizational competitive advantage of MTN Rwanda PLC. The study employed a descriptive and correlational research design, combining quantitative and qualitative methods. Data were collected through interviews and questionnaires. Key findings indicated that management capabilities, including education level, experience, training, leadership, and decision-making skills, significantly influence MTN Rwanda’s competitive advantage, with means ranging from 3.17 to 3.85 and standard deviations from 0.54 to 0.78. Attitudes towards risk-taking, willingness to adopt new technologies, creativity, problem-solving skills, culture of innovation, and implementation of innovative ideas are crucial factors in MTN Rwanda’s competitive advantage, with mean scores ranging from 4.45 to 4.48 and low standard deviations of 0.70 to 0.71. Intellectual capital, encompassing human, structural, and relational capital, plays a key role in MTN Rwanda’s competitive advantage, with means ranging from 4.55 to 4.58 and standard deviations from 0.63 to 0.64. An ANOVA test revealed a significant difference in competitive advantage between groups (F(0.12) = 474.605, p = .000). Additionally, strong positive correlations were found between management capabilities and competitive advantage (rs = .752, p = .000), innovation capacity and competitive advantage (rs = .904, p = .000), and intellectual capital and competitive advantage (rs = .876, p = .000). The findings emphasize the critical role of internal core competencies in driving competitive advantage. Management capabilities, a proactive approach to risk-taking, innovation, and leveraging intellectual capital are pivotal in shaping MTN Rwanda’s competitive position in the telecommunication industry. Internal core competencies, including management capabilities, innovation, and intellectual capital, significantly influence MTN Rwanda’s competitive advantage. It is recommended that the company prioritize education, training, leadership, risk-taking, and technology adoption while fostering a culture of innovation and leveraging intellectual capital.

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.

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.