Mobile Telecommunication Companies Research Articles

EXPRESS: Does Location Familiarity Increase Response to Mobile Ads?

Targeting ads based on consumers’ real-time locations has evolved into a practice worth billions of dollars in the advertising industry. Yet, the implications of repeated mobile ad exposure are poorly understood, primarily due to the confounding effects of locational context. This paper seeks to bridge this gap. Using two large datasets comprising more than three million observations from a major European mobile telecommunication company, we investigate how ad repetition and location revisits (i.e., returning to a previously visited location) jointly determine consumer response to mobile display advertising. Our empirical strategy leverages coarsened exact matching combined with a logit model with fixed effects at the consumer-location level. We find that the click rate through ads is more than 26 percent higher at revisited locations compared to locations visited for the first time. However, mobile ad repetition decreases click rates, and this effect is amplified at revisited locations. Our results contribute to the theory and practice of mobile advertising.

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 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”

Mobile telecommunication companies’ investment and pricing strategies for content service

Several mobile telecommunication companies (MTCs), such as AT&T, Verizon, and China Mobile, are investing in content services to drive continued growth as the telecom industry has become saturated. In this study, we investigate the competition between two MTCs, one of which (MTC 1) provides both data and content services, while the other (MTC 2) provides only data services. We propose a two-stage game-theoretic model to analyze the two MTCs' optimal pricing strategies for data service and content service as well as the investment strategy for the content service. Our analysis reveals that a higher value of value-added service offered by MTC 1 will incentivize it to raise its subscription fee for the content service and induce both MTCs to reduce the prices of their data services, which results in an increased demand for the content service and a decreased demand for MTC 2's data service. As MTC 1 invests further in the quality of the content service, it would benefit from increasing the subscription fee for the content service, and the two MTCs should increase the subscription fee for the data service. However, compared to the decisions in the scenario where MTC 1 does not provide content service, the provision of this service by MTC 1 leads to a lower subscription fee for the two MTCs' data services, an increase in the demand for MTC 1's data service, and a decrease in the demand for MTC 2's data service. These findings reveal that regularly monitoring market competition, as well as adjusting pricing strategies based on market scenarios and the value of services, can enhance competitiveness and long-term profitability for MTCs.

The Effect of Job Embeddedness on Creative Performance: An Empirical Study on Mobile Telecommunication Companies in Egypt

The Effect of Job Embeddedness on Creative Performance: An Empirical Study on Mobile Telecommunication Companies in Egypt

State Capacity and The Curtailment of Corrupt Practices by Mobile Telecommunication Company in Nigeria

State Capacity and The Curtailment of Corrupt Practices by Mobile Telecommunication Company in Nigeria

KMS Infrastructure for KM Practice in Two Mobile Telecommunication Companies in Namibia

Knowledge management system infrastructure is at the forefront of knowledge management practice. Knowledge must be identified, captured, and shared to improve KM practices; however, little is known about the successful implementation of KMS infrastructure by Namibian mobile telecommunications companies. This mixed-methods research study employed a convergent parallel design and parallel sampling techniques. Three hundred and nine online questionnaires were distributed to a representative sample, with a response rate of 57%. Computer software packages were used to analyse quantitative data quantitatively, and qualitative data from interviews with 11 participants and analysis of documents were analysed thematically. Findings showed that infrastructure, management support, and employee participation were necessary for a successful KMS infrastructure implementation for effective and efficient KM practices. The study provides MT companies with a foundational understanding of how the infrastructure for KMS is essential for effective and efficient KM practice.

The influence of business process outsourcing on the productivity of the mobile telecommunication companies

Economics of business and increased focus on operating efficiencies are leading mobile telecom service providers to outsource non-core business process elements, infrastructure systems, and customer service, although the trade-off on the influence of business process outsourcing (BPO) on the firm’s productivity is still inconclusive. Few empirical studies or research have been conducted to analyze the influence of BPO on the firm’s productivity levels in the mobile telecom operators of Southern African developing countries. This research tries to redress the existing knowledge gap and the limited body of literature by providing both descriptive and empirical evidence on the influence of BPO on the firm‘s productivity levels of mobile telecom operators. A structured closed-ended questionnaire was used to collect raw data from 210 employees. Descriptive and chi-square tests were conducted to establish the statistically significant relationship between business process outsourcing and the firm’s productivity levels. The results reflect a statistically significant relationship between the implementation of BPO and the firm’s productivity. The study has practical implications for service and industrial practitioners, managers, scholars, and government policymakers in that they can strategically plan their BPO practices and link those practices to the organizations' productivity performance. Further research can be conducted in other industries in order to do comparison studies confirming lessons gained across industries on the effect of BPO on a firm’s productivity levels.

Impact of person-job fit and person-organization fit on employee engagement: Moderating role of supervisor support

Purpose: This study aimed to examine the impact of two fit concepts, namely, person-job fit (P-J) and person-organization fit (P-O), on employee engagement while taking supervisor support as the moderating variable. Research Methodology: The relationships among constructs were analyzed using correlation, and the study hypotheses were tested using regression. All employees of different mobile telecommunication companies in Bangladesh comprised the study population. The sample size was 100, which was taken using the judgmental sampling technique. Primary data were collected from a field-level survey using a structured questionnaire. Results: The results revealed a positive association between employee engagement and person-job fit, while person-organization fit had a similar association with engagement. The impact of these variables on employee engagement ultimately affects turnover intentions. This study also revealed that the association between person-organization fit and employee engagement is positively moderated by supervisor support. Limitations: The study used a common non-probability sampling technique and a small sample size, which is a limitation. Contribution: The insights will help managers to ensure a match between the job and organizational requirements and those of employees. The study will also inspire future research to connect Field Theory and social exchange theory (SET) with different concepts in different country and industry contexts. Novelty: For the first time in the relevant field, the study simultaneously connected field theory and SET theory with P-J and P-O fit with employee engagement.

Understanding of the concept of knowledge management for knowledge management system implementation in two mobile telecommunication companies in Namibia

This study investigates the understanding of knowledge management (KM) for knowledge management systems (KMS) implementation for efficient KM practice in two mobile telecommunications (MT) companies in Namibia. Using a mixed-methods approach, the study employed convergent parallel design via parallel sampling techniques to gather insights. Three hundred and twenty-nine questionnaires were disseminated via online surveys using simple random sampling from 1,584 employees. The questionnaires returned were then accepted based on the comprehension of KM concepts for KMS implementation to introduce KM practice. Quantitative data was subjected to descriptive analysis using SPSS. Qualitative data underwent thematic analysis using Atlas TI. The findings of this study show that Namibia's two MT companies stand to gain significant advantages by implementing KM practices based on their understanding and implementation of KM. By enhancing their KM capabilities, these companies can leverage this organisational knowledge (OK) to drive innovation and adequately meet the demands of a fiercely competitive, knowledge-based society (KBS). This article is of significant value to KM scholars, professionals, decision-makers, and policymakers as an introductory guide to the comprehension of KM for KMS and how they can facilitate effective KM practices within Namibia.

Celebrity Expertise and Congruence on Consumer Purchase Intentions: Evidence by Nigerian Mobile Telecommunication Companies

Purpose: Celebrity endorsement is a marketing strategy firms have embraced to survive and fortify their market competitiveness. This study examined how celebrity expertise and congruence affect consumer purchase intentions in Nigerian telecommunications companies. Theoretical framework: The theory of planned behaviour describes all behaviour of individuals who possess the power to exercise self-restraint. The predictors of purchase intentions as submitted by this theory comprised attitudes; behavioural intention; subjective norms; and perceived behavioural control. Method: It adopted a survey research design. A proportionate stratified random sampling technique was employed in the research while a questionnaire was used to gather participant data. The instrument was validated while the reliability tests ranged between 0.654 and 0.795. A Partial Least Square (PLS) modelling was adopted to analyse data collected from the respondents. Findings: The findings showed that celebrity expertise and celebrity congruence all have a significant positive effect on consumers’ intention to purchase in the Nigerian mobile telecommunication operators in Lagos State, Nigeria. Research Implication: The managerial implication is that it will enhance inter-enterprise collaborations among telecommunications companies by working together with their ideas and skills to accomplish a desired task that is innovative in nature for the benefit of the companies. Originality/Value: This study is the first of its kind to deal with celebrity expertise and celebrity congruence on consumers’ intention to purchase in the Nigerian mobile telecommunication operators in Lagos State, Nigeria.

The Effect of E-CRM on Customer Delight “An Applied Study on Mobile Telecommunication Companies in Mansoura City”

The Effect of E-CRM on Customer Delight “An Applied Study on Mobile Telecommunication Companies in Mansoura City”

Drivers and risk of business process outsourcing in South African mobile telecommunication industry

Mobile telecommunications service providers outsource various activities like logistics, assembly operations, manufacturing and design. However, little research has been conducted in Southern Africa to establish the actual drivers triggering mobile telecommunication companies to implement business process outsourcing (BPO) and the risks associated with implementation. This research aims to redress the existing knowledge gap and the limited body of literature by conducting research to establish the drivers and risks of implementing BPO. A structured, closed-ended questionnaire collected raw data from 210 employees. Descriptive statistics were conducted to establish the drivers triggering mobile telecommunication companies to implement BPO. Overall, the results concluded that some of the key drivers of implementing BPO by the telecom operators are reduction in capital investment, thereby freeing up limited capital funds more available for core areas, and the company can have access to unique resources skills and talents. The results also indicated that the risks of BPO implementation include the potential loss of control over critical functions and the difficulty of ensuring service quality and consistency from the service provider. The results will help the corporate management to make decisions about outsourcing based on quantifiable results instead of managerial estimates. While the study confined itself to the mobile telecommunications companies, more research can be conducted in other South African industries, most notably banks and learning institutions that are also important BPO hubs worthy of further examination.

Knowledge Management Implementation Strategy for Knowledge Management Systems in Two Mobile Telecommunication Companies Namibia

Rationale of Study – This article presents the findings of a study on the knowledge management (KM) implementation strategy for two mobile telecommunications (MT) companies in Namibia.Methodology – The case study used a mixed-methods approach via convergent parallel design. This permitted the concurrent gathering of quantitative and qualitative data for the study. The study used simple random sampling via probability sampling to identify 309 respondents. An online survey distributed 329 questionnaires, and 200 were received with a 60.79% response rate. A purposive sampling technique was employed for the qualitative phase; 11 participants were interviewed out of the planned 20.Findings – The study found that neither KM implementation strategies nor a department or section dedicated to organisational KM exist, necessitating a KM implementation strategy for KMS for effective KM practices in two MT companies in Namibia. The study also identified potential barriers to KMS, such as the complexity of employee attitudes, the dearth of use of specific KMS, and the organisational KM corporate work culture.Implications – This study's findings could expand academicians', KM researchers', and organisations' understanding of the importance of organisational KM implementation strategy for KMS to be effective and efficient in MT companies in Namibia.Originality – This study is the first on KM implementation strategies for KMS to influence knowledge management practices in Namibia.

Service innovation practices and customer loyalty in the telecommunication industry.

The study sought to assess differences in innovation practices in the telecommunication industry, customer perception of service innovations, and how service innovation practices influence the loyalty of mobile subscribers. A quantitative research approach was adopted to study 250 samples from active subscribers of the leading mobile telecommunication companies in Ghana. Descriptive and regression analytical approaches were used to analyze the study's objectives. The result indicates service innovation practices significantly influence loyalty. Innovative service concepts, innovative service processes, and new technologies significantly influence customer loyalty with the latter having the strongest influence. The study contributes to the scanty literature on the mentioned subject within the Ghanaian context. Additionally, this study focused on the service sector. Despite the sector's contribution to the world's Gross Domestic Product (GDP), previous studies have largely focused on the manufacturing sector. Based on the findings, the study recommends that the management of MTN, Vodafone, and Airtel-Tigo in collaboration with R&D and Marketing departments must invest financial and cognitive resources to develop innovative technologies, processes, and services to address the service convenience, efficiency, and effectiveness needs of customers. The study further recommends that financial and cognitive investment should be based on market and consumer research, and customer interaction. This study recommends similar studies using qualitative research methods in other industries such as banking and insurance.

A Framework for Evaluating the Impact of Business Process Outsourcing on the Operational Performance of the Mobile Telecommunications Industry, South Africa

Mobile telecommunications service providers outsource a range of activities like logistics, assembly operations, manufacturing and design. However, little research has been conducted to empirically evaluate the impact of business process outsourcing (BPO) on the company's operational performance. This research tried to redress the existing knowledge gap and the limited body of literature by proposing a framework to evaluate the impact of BPO in the mobile telecommunications industry using cost and profitability as the underpinning quantitative performance measurements. A structured closed-ended questionnaire was used to collect raw data from 210 employees. Descriptive and chi-square tests were conducted to establish the statistically significant relationship between business process outsourcing and the operational performance of mobile telecommunications. The results reflected a statistically significant relationship between implementation of BPO and cost and profitability. The results will help the corporate management to make decisions of outsourcing based on quantifiable metrics instead of managerial estimates. While the study confined itself to the mobile telecommunications companies, more research can be conducted in other South African industries most notably banks, hospitals, car assembling and learning institutions that are also important BPO hubs worthy of further examination.

Knowledge Processing Capability and Business Sustainability of Mobile Telecommunication Firms in Kenya

Mobile telecommunication firms in Kenya operate in a dynamic and highly competitive business environment. This may be attributed to innovativeness, emerging technologies, and rapid changes in consumer consumption patterns. This has necessitated firms in this sector to develop strategies to remain competitive and sustainable. Therefore, this paper sought to assess Knowledge Processing Capability's influence on the sustainability of mobile telecommunication firms in Kenya. The study's variables were anchored on Knowledge-Based View (KBV) theory and adopted a descriptive, explanatory research design. The study targeted three mobile telecommunication firms with an accessible population of 1,177 employees. The study relied on stratified random sampling techniques to select 299 respondents. Primary data was obtained through a semi-structured questionnaire. Data were analysed by the use of descriptive and inferential statistics. The findings revealed a significant positive relationship between knowledge processing capability and sustainability of the mobile telecommunication companies in Kenya.

Corporate social responsibility, marketing capabilities and consumer behavioral responses

PurposeThe purpose of the study was to examine the effect of corporate social responsibility (CSR) and marketing capability on consumer behavioral responses in the mobile telecommunication industry in Ghana. Particularly, the study estimated the moderating effect of marketing capability on the relationship between CSR and consumer behavioral responses.Design/methodology/approachBoth customers and employees of three major mobile telecommunication companies were sampled for this work. A mixed linear regression technique was used to examine the relationship between corporate responsibility, marketing capability and customer behavioral responses.FindingsThe empirical results revealed that marketing capabilities moderate the relationship between CSR and consumer responses in the telecommunication industry.Research limitations/implicationsThe study proposes practical dimensions to the mobile telecommunication companies that the extensive development of strong marketing capabilities serves a conduit for CSR to achieve favorable consumer responses.Originality/valueThe results have opened up rather a limitation studies on the moderation role marketing capabilities in relationship between CSR and consumer behavioral responses in the telecommunication industry.

Corporate image as an enabler of customer retention

PurposeThis study aims to examine the extent of corporate image of mobile telecommunication company on service quality and price fairness, which subsequently play important roles in influencing customer satisfaction and loyalty.Design/methodology/approachA questionnaire was administered to subscribers of mobile service providers in Brunei. The proposed research model was tested using structural equation modeling to estimate the relationships between corporate image, service quality, price fairness, customer satisfaction and loyalty.FindingsThe results indicated that favorable corporate image positively affects network quality, customer support and price fairness, which, in turn, lead to formation of customer satisfaction and customer loyalty.Originality/valueThis study demonstrates the magnitude of corporate image as an enabler of market dominance, recognizing that superior corporate image can become a first mover advantage and competitive advantage, which explains the high customer retention of a mobile telecommunication company. The effects of corporate image as a first mover advantage have not been highlighted in the literature of first mover advantage of mobile telecommunication; therefore, this study provides a new insight in this study area.

Customer churn analysis using XGBoosted decision trees

Customer relationship management (CRM) is an important element in all forms of industry. This process involves ensuring that the customers of a business are satisfied with the product or services that they are paying for. Since most businesses collect and store large volumes of data about their customers; it is easy for the data analysts to use that data and perform predictive analysis. One aspect of this includes customer retention and customer churn. Customer churn is defined as the concept of understanding whether or not a customer of the company will stop using the product or service in future. In this paper a supervised machine learning algorithm has been implemented using Python to perform customer churn analysis on a given data-set of Telco, a mobile telecommunication company. This is achieved by building a decision tree model based on historical data provided by the company on the platform of Kaggle. This report also investigates the utility of extreme gradient boosting (XGBoost) library in the gradient boosting framework (XGB) of Python for its portable and flexible functionality which can be used to solve many data science related problems highly efficiently. The implementation result shows the accuracy is comparatively improved in XGBoost than other learning models.