Telecommunications Sector Research Articles

The Influence of Brand Perception on Consumer Buying Decision in Tanzania, A case of Vodacom Tanzania

The study examined the influence of brand quality on consumer purchasing decisions within Tanzania's telecommunications sector, focusing specifically on Vodacom Tanzania. Conducted in Dar es Salaam, the research utilized a cross-sectional design and involved a sample of 294 customers selected through convenience sampling. Data were collected via a structured questionnaire and analyzed using regression method. The findings revealed that perceived brand quality significantly positively influences consumer buying decisions. Consequently, the study concludes that higher perceived brand quality correlates with an increased likelihood of purchase. Therefore, a key recommendation is for telecommunications brands to prioritize enhancing their perceived quality to positively impact consumer buying behavior.

Relationship Between Distributive Justice and Employees' Affective Commitment: The Moderating Effects of LMX

The current study explores the effect of LMX and DJ on employees' affective commitment. Significant research has been conducted on the relationship between distributive justice and workplace outcomes. However, limited research has delved into potential moderators of this relationship, specifically in the context of the telecom sector of Pakistan. This study fills this gap by investigating how LMX might influence the relationship between distributive justice and affective commitment as a moderator. Two hundred fifty employed individuals from the telecom sector of Sahiwal, Pakistan, participated in this survey. Data was analyzed using SPSS-24. The results from the analysis supported the study's hypotheses. The results regarding the direct relationship between DJ and AC are in line with existing literature. Additionally, LMX significantly moderated the relationship between the independent and dependent variables. Based on these findings, theoretical and practical implications are proposed. Limitations and future research directions are also discussed.

Investigating Brand Awareness, Brand Image, and Perceived Quality on Customer Loyalty

This study investigates the impact of brand awareness, brand image, and perceived quality on customer loyalty, with a focus on Telkomsel users within the Creative Business program at Universitas Indonesia. Employing a quantitative research methodology, data were collected from 50 respondents using a structured questionnaire and analyzed using SPSS 26. The findings reveal that all three factors—brand awareness, brand image, and perceived quality—positively influence customer satisfaction, which in turn significantly enhances customer loyalty. Specifically, perceived quality emerged as the most influential factor driving customer satisfaction, followed by brand image and brand awareness. The study underscores the critical role of perceived quality in fostering customer loyalty, suggesting that Telkomsel’s success in retaining customers is largely attributed to its high service standards. This research contributes to the literature on brand management in the telecommunications sector and offers practical insights for enhancing customer loyalty through strategic improvements in brand perception and service quality.

Integrating Brand Gestalt and Customer Loyalty in Telecommunication Sector: The Mediating Role of Customer Satisfaction

This study examines how the four dimensions of brand gestalt—story, sensescape, servicescape, and stakeholders—influence customer satisfaction and loyalty within a telecommunication company context. The research employed a descriptive quantitative design, collecting primary data through a survey of 232 respondents who use Telkomsel Indonesia's products and services. Data analysis was performed using Structural Equation Modeling (SEM) with the support of the SmartPLS statistical application. The findings reveal that the sensescape, servicescape, and stakeholder dimensions are crucial in determining customer satisfaction. Notably, only the sensescape dimension has a significant and positive impact on customer loyalty. These results suggest that Telkomsel should prioritize enhancing the sensescape, servicescape, and stakeholder components to improve customer satisfaction, with particular focus on sensescape to effectively boost customer loyalty.

REGULAÇÃO E PROTEÇÃO DE DADOS PESSOAIS NA INDÚSTRIA DE TELECOMUNICAÇÕES: A IMPLEMENTAÇÃO DA LEI GERAL DE PROTEÇÃO DE DADOS E A GESTÃO DA VIOLAÇÃO DE SIGILO

The present work aims to analyze Brazilian legislation aimed at protecting personal data and violations of these standards, especially in the telecommunications sector. For its idealization, consultations were carried out in articles, bibliographies, jurisprudence, legislation and informative websites based on a qualitative approach with a special focus on the analysis of the General Data Protection Law (LGPD) and the Marco Civil da Internet. The study examines how the sharing of personal data by mobile phone operators compromises consumer privacy, highlighting the responsibilities of companies and the consequences of data leaks. Despite efforts to adapt to standards, the confidentiality of personal data is constantly violated, as private telephone companies do not comply with legislative legalities to protect fundamental rights. This highlights the essential role of regulatory bodies, such as the National Telecommunications Agency (ANATEL), in ensuring data protection and building a relationship of trust between companies and consumers.

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.

Leveraging Contemporary Project Management Techniques and Technology for Sustainable Telecommunications Advancement in Yemen

The digital techniques and technology have transformed formal project management field dramatically by enhancing communication, resource management and efficiency. This study aims to evaluate the efficacy of contemporary project management methodologies in promoting and facilitating sustainable development within the telecommunications sector in Yemen. Situated within the broader discourse on achieving the United Nations Sustainable Development Goals, the research employs a mixed methods approach to gather both quantitative and qualitative data. Quantitative data was collected through a survey of 150 professionals across major telecommunications firms in Yemen. The survey examined familiarity and application of techniques and technology such as waterfall, agile, six sigma, and lean. Qualitative insights were derived from 22 in-depth interviews with project managers and stakeholders. The findings of the study indicate that there is a narrow scope for integrating sustainability in Yemen’s telecommunications sector projects. Despite the research indicating a considerable level of awareness and utilization of contemporary methodologies, the integration of sustainability objectives varies considerably between projects. While numerous projects adopt environmental sustainability strategies, such as enhancing energy efficiency to reduce environmental impact and minimize carbon emissions, they lack comprehensive sustainability strategies that encompass economic, social, and environmental aspects in an integrated manner. The qualitative interviews yielded insights into the significant challenges to sustainable implementation, including insufficient training, organizational obstacles, and the effects of the ongoing conflict. In light of these findings, the paper addresses these challenges and provides recommendations and effective strategies to overcome them.

Tax Efficiency and Capital Structure Dynamics: Unveiling the Drivers of Financial Performance in Malaysia's Telecom Sector

Tax Efficiency and Capital Structure Dynamics: Unveiling the Drivers of Financial Performance in Malaysia's Telecom Sector

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.

Financial Determinants of Tax Avoidance: Insight from the Telecom Sector with Profitability Moderation

Financial Determinants of Tax Avoidance: Insight from the Telecom Sector with Profitability Moderation

SUBSCRIPTION FRAUD DETECTION USING AUTOENCODER IN CASE OF ETHIOTELECOM

Nowadays, telecom services are becoming an essential communication and business facilitators. However, the development of telecom services motivates fraudsters for illegal use. Hence, telecom fraud becomes a serious challenge in telecommunication sector by losing telecom revenue. It also results in poor quality of services for their customers. Telecom data, SMS and voice call are not free from security issues. Despite SMS, and USSD services becomes good options over installable mobile based or web based applications due to lesser cost and real time support, the methods provide fixed amount requirements which is not dynamic way to address the need of these services subscribers. The other challenge of these services is that; the services are not safe from frauds as such, especially in GSM switches. Subscription fraud is one type of fraud in today’s telecom business which is a common telecom fraud. The need of fraudsters is to make money illegally or getting telecom services with the intention of not to pay for the service they used. The prime objective of this study is to build a predictive model using deep auto-encoder to detect subscription fraud in case of Ethiotelecom. The performance of fraud detection model is 98.95% validation accuracy on ethiotelecom call detail record dataset using deep neural network autoencoder and CNN-LSTM autoencder algorithms at threshold of 0.0103 and 0173 respectively.

Innovative Management Strategies and Competitive Advantage of Global System for Mobile Communication (GSM) Service Providers in Taraba State, Nigeria

This study investigates the effects of product, service, process, and technological innovations on the competitive advantage of GSM service providers in Jalingo, Taraba State, Nigeria. It aims to determine how these different types of innovations influence market positioning and operational efficiency within the regional telecommunications sector. The research is framed using Dynamic Capabilities Theory, which emphasizes the role of strategic adaptability and resource reconfiguration in achieving and sustaining competitive advantage in rapidly changing markets. Employing a mixed-methods approach, the study integrates quantitative data from structured questionnaires distributed to 115 staff across major telecom providers and qualitative insights from industry reports. A total of 102 responses were analyzed using regression analysis in SPSS to evaluate the effect of innovation types on competitive advantage. The findings reveal that all types of innovation—product, service, process, and technological—significantly enhance the competitive advantage of GSM providers in Jalingo. Service innovation showed the strongest effect, followed by technological, product, and process innovations. The study underscores the critical importance of a holistic innovation strategy that includes diverse forms of innovation to improve competitive advantage. GSM providers in Jalingo who embrace comprehensive innovation strategies are more likely to secure greater market share and achieve long-term profitability. The study recommends that GSM service providers should prioritize developing new service offerings and enhancing existing services. This could include investing in customer relationship management systems to personalize services, implementing loyalty programs, or introducing flexible pricing models that cater to different customer segments.

Analysis of the Relationship Between R&D and Company Performance

Research and development (R&D) activities are crucial to remain competitive. Extant literature presents divergent views on R&D’s contribution to company performance, specifically profitability. It hints at cultural differences in approaching R&D. This leads to analyzing such relationships within a regional comparison. Filling the research gap by focusing on the Technology, Media and Telecommunication (TMT) sector, this study evaluated a sample of 132 Asian and European companies operating in the TMT sector for 2018 – 2022. Using the panel generalized method of moments, results showed that R&D intensity had an insignificant impact on profitability but a positive and significant effect on capital market performance. Furthermore, Asian firms’ R&D intensity had a more pronounced influence on performance, supporting the literature’s view on cultural differences in R&D strategies.

Interactive Marketing Measurement According To Sustainable Competitive Advantage Goals: A Scale Development

Purpose: The objective of this study is to create an interactive marketing model that aligns with the commercial development strategies of mobile phone operators in Iraq. Theoretical framework: Recent literature has reported good results on the new design of the interactive marketing model that is compatible with the development of work in the Iraqi mobile phone companies in the research sample. Design/methodology/approach: Mobile phone companies in Iraq (Asia Cell, Zain, Korek) were chosen as a field for the application, and a purposive research sample consisting of (35) people was chosen from the human resources of the aforementioned companies. Questions prepared for this purpose were adopted as a tool for obtaining data, while the (Atlas-ti) program was used. Statistician in entering and analyzing research data. Findings: The volume of research has been increasing over the past 20 years, although there are only a few reference authors, institutions and journals contributing to the unification of topics. The researchers were able to design an interactive marketing model that simulates the environment and reality of mobile phone companies in Iraq. Research, Practical & Social implications: We suggest a future research agenda by highlighting the contributions made to designing marketing models to suit the environment in which companies of various types operate. Originality/value: Originality/value: The results indicated a proposal for a new interactive marketing model through which we hope to contribute to adding marketing services to companies operating in the Iraqi telecommunications sector.

Application of machine learning techniques for churn prediction in the telecom business

The telecom business generates a significant amount of data on a daily basis due to its massive client base. Acquiring a fresh client base is more expensive than retaining existing customers, whereas churn refers to customers transitioning from one company to another within a specified timeframe. Telecom managers and analysts investigate why customers cancel their subscriptions and analyze the behavior patterns of customers who have stopped using the services. In this work employs categorization methodologies to determine the instances of leave subscriptions and gathers the rationales behind client leave subscriptions in the telecommunications sector. The primary objective of this work is to examine various machine learning algorithms necessary for creating customer churn prediction (CP) models and identifying the reasons for churn. This work aims to provide retention strategies and plans to address churn. This work utilizes machine learning (ML) technique such as random forests (RF) to collect and classify client data for leave subscriptions. These results compare with other ML algorithm such as support vector machines (SVM), gradient boosting (GB), Extreme Gradient Boosting (XGBoost), and light gradient boosting machines (LGBM), The business model provides a practical analysis of customer churn data, enabling accurate forecasts of customers likely to churn. This allows business management to take timely action to prevent churn and minimize profit loss. In this work obtains an accuracy of 98.1 % by utilizing the random forest classifier for churn prediction. The classifier matrix has obtained a precision of 92.8 % and a recall factor of 92.7 %, resulting in an overall accuracy of 95.6 %. Similarly, our research endeavors enhance churn prediction, encompass additional business domains, and furnish prediction models to retain their current consumers, improve customer service, and efficiently prevent churn.

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.

CYBERSECURITY PRACTICES AND FRAUD PREVENTION AMONG GHANAIAN TELECOMMUNICATION FIRMS, A MIXED METHOD ANALYSIS

This study explores the effectiveness of cybersecurity practices in preventing fraud within Ghanaian telecommunication firms, adopting a qualitative research approach to gain in-depth insights into the challenges and strategies involved. By focusing on the perspectives of key personnel directly involved in cybersecurity and fraud prevention, the study aims to uncover critical factors influencing the success of these practices. A case study design is employed, examining cybersecurity implementation across five major telecommunication firms in Ghana. The sample consists of 15 participants, including IT managers, cybersecurity officers, and fraud prevention specialists, selected through purposive sampling to ensure relevant and insightful data collection. Semi-structured interviews are used as the primary data collection method, allowing participants to provide detailed and nuanced information on their experiences with cybersecurity measures. Thematic analysis is employed to identify key patterns and themes within the data, highlighting the role of insider threats, regulatory frameworks, and employee behavior in contributing to fraud. The findings indicate that while robust technical measures such as encryption, multi-factor authentication, and intrusion detection systems play a significant role in reducing fraud, challenges in enforcement, compliance, and employee behavior remain critical barriers. The study concludes that a holistic approach, combining technical solutions with organizational culture improvements and stronger regulatory enforcement, is essential for enhancing cybersecurity effectiveness in Ghana’s telecommunication sector. Recommendations are made for improving incident response times, regulatory support, and employee training programs, as well as fostering greater collaboration between firms and regulatory bodies to strengthen fraud prevention efforts.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0709/a.php" alt="Hit counter" /></p>

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

The mediating of perceived organizational support between ethical leadership and employee engagement at information and communication technology telecommunication in Palestine

This paper recognizes the gaps in previous studies and provides insight into the significance of leadership guided by ethical principles in influencing employee engagement through the mediating role of perceived organizational support (POS). Thus, this paper aims to examine the impact of ethical leadership on employee engagement and to determine whether perceived organizational support (POS) mediates the relationships between both constructs. This study used a quantitative research method and collected data from 328 employees in the Information and Communication Technology telecommunications sector in Palestine. The hypotheses underwent examination through the application of partial least squares structural equation modeling (PLS-SEM). The findings show that 328 people responded to the current study's questionnaire. Ethical leadership the dependent variable was strongly impacted by perceived organizational support (EL POS) at the significant level of 0.01 (β = .697, µ =.0.669, SD=0.035, t=20.104, P=0.000 and f^2= 78% respectively. All of the study's variables had some effect on the dependent variable and employee engagement. Similarly, the remaining hypotheses are verified. When the R-squared adjusted values of the independent variables for the variance of employee engagement were more than 53 percent, the R-squared multiple correlations (R2) for the dependent variables indicated that the model appropriately matched the data.

The Effect of Implementing Servant Leadership Practices on the Adoption of Digital Transformation for Companies in the Telecommunications Sector

This study aims to analyze the effect of implementing servant leadership practices on adopting digital transformation among employees at Algeria Telecom’s commercial agencies in Laghouat. The independent variable, Servant Leadership, is explored through five dimensions: Moral Love, Empowerment, Humility, Vision, and Trust. Conversely, the dependent variable, the Adoption of Digital Transformation, is assessed through three dimensions: Operational, Relational, and Transformational. To fulfill the objectives of this research, a questionnaire was developed and administered to a sample of 74 employees. The data were analyzed using SPSS software version 25. To test the hypotheses, the study employed Structural Equation Modeling via Partial Least Squares (PLS-SEM) and the Bootstrapping method of testing the hypotheses of the study, through the Smart -PLS (4) software. The findings reveal that servant leadership practices notably influence the adoption of digital transformation among employees, with significant effects observed specifically in empowerment and trust, which recorded probability values of 0.008 and 0.024, respectively. In contrast, the dimensions of Moral Love, Humility, and Vision were found to exert no significant effect, as their probability values were 0.388, 0.183, and 0.167, respectively, which are above the significance level of 0.05. Based on these results, the researchers propose several recommendations: granting a portion of decision-making autonomy to employees to foster empowerment, encouraging teamwork towards common organizational goals, streamlining communication channels for efficient information delivery, and enhancing trust and job satisfaction through both material and moral incentives within the organization.