Telecommunications Industry Research Articles

Strategic Pricing and Positioning in the Telecommunications Industry: Retaining Customers and Attracting Subscribers

Strategic Pricing and Positioning in the Telecommunications Industry: Retaining Customers and Attracting Subscribers

IMPACT OF IMPLEMENTATION OF METHODS OF COACHING FOR SUCCESS, PARTICIPATIVE, AFFILIATIVE, VISIONARY AND SITUATIONAL (COPAVISIT) AT OPERATIONAL MANAGEMENT OF CELLULAR TELECOMMUNICATIONS COMPANIES IN DIGITAL ERA

The development of the telecommunications industry in Indonesia is determined by the company's ability to manage operational with using methods of coaching for success, participative, affiliative, visionary and situational. The meaning of coaching for success are with treating people as they want to be treated, that is by indirectly giving punishment, participative by taking part in the problems faced by company management, affiliative by maintaining good relationships with employees and company partners, visionary support progress company, situational is done by looking at the condition of the company that is required to be able to implement the marketing industry 4.0. This research method uses a quantitative approach, the type of quantitative descriptive research with the nature of research that is explanatory. The data used are secondary data, namely employees of cellular telecommunication in Area of Regional I of Medan City as many as 800 people. The sampling technique used in this study using the Slovin formula so that the number of samples used in this study was 89 people. Sampling uses a simple random sampling approach. The results obtained in this study are coaching for success methods have a negative and significant influence, participative and affiliative, have a positive and significant influence, while visionary and situational have no influence on the operational management of cellular telecommunications companies in Medan City.

The Role of Customer Relationship Management in Improving Customer Satisfaction in the Telecommunication Industry

Customer satisfaction holds sufficient prejudice in the telecommunications industry. This research analyzes customer relationship management to enhance customer satisfaction in the telecommunications industry. This research uses a quantitative approach under an exploratory design to study customer satisfaction impact on customer relationship management. 300 participants were selected through simple random sampling. The data was analyzed through SPSS, by using the coefficient of Pearson Correlation. The independent variable in the research is customer relationship management and the dependent variable is customer satisfaction. The results of the research show the value of Pearson correlation is 0.067, that shows that the correlation between customer satisfaction and customer relationship management is negligible or has no correlation. The p-value of the correlation is 0.245, that shows that there is only 24.5% chance that the independent variable, customer relationship management and dependent variable, customer satisfaction depend on each other, and the results of correlation are statistically insignificant.

IOT Enabled Remote Monitoring Application For Telecom SMPS

This research paper presents a comprehensive study on the development of an IoT-enabled remote monitoring system for telecom SMPS (Switched-Mode Power Supply). The system aims to address the critical need for efficient power supply management in the telecom industry by utilizing a network of sensors to collect real-time data on key parameters such as voltage, current, temperature, and load. The collected data is securely transmitted to a central monitoring system for analysis and control.

NAVIGATING SERVICE INNOVATION: INVESTIGATING THE STAGES OF INNOVATION PROCESS IN TELECOMMUNICATION INDUSTRY

This research explored the stages of service innovation within the telecommunications industry, specifically examining PT Telkom Indonesia Datel Temanggung. Using a qualitative approach that included observation and interviews with five employees, the research identified a six-stage process for service innovation: opportunity identification, idea management, concept development, pilot test, launch, and learning. The results highlighted significant challenges faced during the innovation process and emphasized the importance of customer involvement. Additionally, service innovation at PT Telkom had crucial managerial implications, requiring careful evaluation to ensure profitability and customer satisfaction. Managers must navigate the innovation timeline to balance stakeholder impact and avoid employee burnout. Phased rollouts and targeted marketing were recommended strategies to keep customers informed and engaged throughout the innovation process.

The Rule of Reason Approach in Discriminatory Practices: Airlines and Telecommunications Industry Sector

Discriminatory practices are standard in business competition and are not prohibited as long as they do not cause unfair competition. This paper will discuss three Business Competition Supervisory Commission (KPPU) decisions in 2020 related to alleged discriminatory practices committed by business actors. The subject matter in this paper is how the actions of business actors can fulfil the elements of violation and how the application of the rule of reason approach in Article 19 letter d of the Competition Law (1999) in the 2020 KPPU Decisions. This research is descriptive normative research. The data used in the book, articles, the new paper analyzed the Competition Law (1999), the Airlanes law (2009), the Electronic Information and Transactions Law (2008, amendments 2016 & 2024), and the Hajj and Umarah Law (2019), as well as interview an expert and KPPU. The interesting findings found that acts of discrimination cause obstacles in vertical business relations in different but interrelated relevant markets and often occur in the essential facilities sector. By using the rule of reason approach, KPPU found that discriminatory practices will be more effective if the business actor is in a dominant position or even occupies a monopoly position. Then, the three decisions in this discussion are equally suspected of violating Article 19 letter d on discriminatory practices. Then, related to the relevant market, the three cases have different markets, and also all three have vertical relationships with other business actors.

Royalty rate determination in standard essential patent litigation in China - from regional rate to global rate

Standard essential patent (SEP)-related disputes frequently involve parallel litigation cases in various jurisdictions in the world. With the rapid advancement of the telecommunication industry, Chinese companies are more and more embroiled in such global dispute, particularly with the issue of fair, reasonable, and non-discriminatory (FRAND) rate determination by the courts. Chinese courts are actively asserting jurisdiction over global FRAND disputes. It is important to note that within the framework of Chinese court practice, the court should further improve its trial procedures to ensure that parties have reasonable expectations regarding rate determination result on the merits and the procedural due process. This article reviews the judicial practice in China regarding the cases of FRAND rate dispute, summarizing the characteristics and recent development in the court practice. The article outlines how Chinese courts apply comparable license and top-down approach to calculate the FRAND rate. Notably, Chinese courts have taken a more flexible and pragmatic approach when addressing this issue, tailoring their decisions based on the circumstances in individual case. Additionally, it discusses the possibility of Article 24 in the Judicial Interpretation II as the legal basis for determining the global FRAND rate, as well as how the requirement for good-faith negotiation is interpreted by the court and whether the regional discount is reasonable in the context of the global FRAND rate. Consequently, the article argues that the courts should consider harmonizing its practice with prevailing norms in international jurisdictions. Several recommendations for optimizing the trial procedure also proposed, thereby ensuring scientific rigor and transparency of the rate calculation.

A hierarchical reinforcement learning approach for energy‐aware service function chain dynamic deployment in IoT

AbstractTraffic volume is increasing dramatically due to the quick development of technologies like online gaming, on‐demand video streaming, and the Internet of Things (IoT). The telecommunications industry's large‐scale expansion is increasing its energy usage and carbon footprint. Given the desire to minimize energy consumption and carbon emissions, one of the most essential concerns of future communication networks is ensuring rigorous performance restrictions of IoT services while improving energy efficiency. In this regard, a convolutional neural network‐based hierarchical reinforcement learning approach is provided to lower total energy consumption and carbon emissions in the dynamic service function chaining situations. This method can more effectively lower energy consumption and carbon emissions when compared to other hierarchical algorithms based on conventional deep neural networks and non‐hierarchical algorithms. The suggested method is tested in three typical complicated networks with different network parameters to show its suitability in different network scenarios.

Impact of Corporate Social Responsibility (CSR) on Customer Loyalty in Indian Telecom Industry: The Moderating Role of Consumer Demographics

Impact of Corporate Social Responsibility (CSR) on Customer Loyalty in Indian Telecom Industry: The Moderating Role of Consumer Demographics

Market orientation and organizational performance in telecommunication: The moderating role of strategic marketing

The study examines the influence of market orientation on the performance of mobile operators in the telecommunication industry and the moderating effect of strategic marketing on the relationship. Based on a cross-sectional survey of 286 management staff of the four largest mobile operators in Nigeria (MTN, Glo, 9Mobile, Airtel), an empirical evidence was established. The data were analyzed using descriptive statistics and Structural Equation Modeling (SEM). The SEM outlined the connection between the dimensions of market orientation and organizational performance. The findings revealed that inter-functional coordination (β = 0.485, t = 2.542, p = 0.013 < 0.05) and customer orientation (β = 0.245, t = 2.043, p = 0.038 < 0.05) significantly influence organizational performance, while competitor orientation (β = 0.159, t = 1.870, p = 0.065 < 0.05) has no discernible effect. It was also found that strategic marketing has a major impact on organizational performance (β = 0.466, t = 4.175, p = 0.000 < 0.05), but it has no moderating influence on the relationship between market orientation and organizational performance (β = 0.032, t = 0.445, p = 0.665 > 0.05). This implies that strategic marketing has a direct effect on organizational performance and not a moderating effect. Therefore, the study recommends that market orientation especially customer orientation and inter-functional coordination, as well as strategic marketing, should become a culture in the telecommunication industry.

Growth hacking business analytical tools for small and medium enterprises

ABSTRACT This study focuses on the growth hacking business analytical tools for small and medium enterprises to improve their business operations. The study analysed 11 prominent sectors, namely retail, e-commerce, travel, finance, telecom, healthcare, customer support, sales review, project management, insurance and manufacturing industries, to identify the critical challenges and propose solutions using predictive business analytics. The Triangulation approach has been employed through literature review, interview with SME startups incubated in IIT Madras Research Park and other SMEs in Chennai to provide an organized framework using an “Industry outlook Analysis” that suggest business analytical tools to overcome their challenges due to lack of resources. The study suggests that affordable predictive analytics can help SMEs overcome these challenges by providing insights into customer behaviour, operational efficiency and market trends. Overall, the study highlights the importance of data-driven decision-making tools that are available for SMEs to remain more competitive in the market environment.

Flexible working arrangements on employee well-being concerning the mobile telecommunication industry

PurposeThe well-being of employees is very crucial, especially for the survival and sustainability of the mobile telecommunication industry and thus, the deployment of flexible working arrangements becomes paramount for managers and industry practitioners to implement. This research aimed to assess the impact of flexible working arrangements on employee well-being within the mobile telecommunication industry.Design/methodology/approachUtilizing multiple linear regression analysis, the research tested hypotheses to examine the significance of the relationships. Grounded in the Border Theory of Balanced Work, the study sought to explore the relationship between flexible working arrangements, including flextime schedules, compressed workweeks and telecommuting and various dimensions of employee well-being.FindingsThe results of the study demonstrated a statistically significant positive effect of flexible working arrangements on employee well-being within the mobile telecommunication industry. It concluded that flexible working arrangements that are measured with a flextime schedule, a compressed workweek and telecommuting improve employee well-being through psychological well-being, social well-being and workplace well-being.Originality/valueThis research contributes to the existing body of knowledge by establishing a positive connection between flexible working arrangements and employee well-being in the context of the mobile telecommunication industry. Managers of telecommunication firms should continue with the implementation of flexible working arrangements to enhance the well-being of their employees. The study provides valuable insights for both scholars and industry practitioners, emphasizing the significance of continued implementation of flexible working arrangements to promote and sustain the well-being of employees.

Design and Additive Manufacturing of Electrodes for Electrochemical Energy Storage

Supercapacitors exhibit rapid charge/discharge times and have attracted considerable attention within the automotive, aerospace, and telecommunication industries. The high electrical conductivity and surface area of porous carbons have been attractive for supercapacitor electrodes. Fabricating thick electrodes is one strategy to further increase energy density due to a higher volume fraction of active material. However, thick electrodes suffer from sluggish charged species transport. In this work, we investigate the use of computational optimization and additive manufacturing to design and fabricate thick porous electrodes with improved performance. Electrode performance was maximized by designing their morphologies via topology optimization and printing by projection micro stereolithography (PµSL) using commercial resin (PR48). The PR48 resin was then pyrolyzed (PR48-P) to create the final conductive electrode. The optimized PR48-P electrodes exhibited 99% improvement in capacitance compared to control electrodes printed with cubic lattice morphologies. To further improve performance, we formulated a resin combining graphene oxide (GO) and trimethylolpropane triacrylate (TMPTA). Electrodes printed with 3 wt% GO in TMPTA exhibited improved capacitance retention after pyrolysis compared to the PR48-P electrodes. This work demonstrates the enormous potential of leveraging topology optimization and additive manufacturing to resolve many challenges in the electrochemical storage and renewable energy regimes. This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under contract DE-AC52-07NA27344. Lawrence Livermore National Security, LLC Figure 1

Improving 4G LTE network quality using the automatic cell planning

The growing demand for network services leads to an increase in traffic load on eNodeB, resulting in decreased network quality and performance, necessitating optimization. This research analyses the results of optimising 4G reference signal received power (RSRP), signal to interference noise ratio (SINR) and throughput parameters using the automatic cell planning (ACP) method. ACP has been shown to significantly improve the performance and quality of 4G LTE networks compared to traditional cell planning methods. Based on the standard parameter RSRP, increased after ACP optimisation which is dominant in the range ≥ -100 s.d ˃ -85 dBm and obtained an average value of -98.59 dBm with good category. The average SINR has increased by 18.23 dB with a good category. The dominant throughput is in the 14,000 Kbps range with an average value of 50,241.08 Kbps with the excellent category. The ACP method can enhance the performance of 4G LTE networks, potentially addressing operator issues of unstable network quality due to poor coverage. The ACP method significantly enhances 4G LTE network performance, coverage, and user experience, potentially addressing unstable network quality due to poor coverage. This research is crucial for both users and the telecoms industry.

Revolutionizing enterprise resource planning: A transformation journey in the Albanian telecommunication industry

This paper explores the critical aspects of ERP (Enterprise Resource Planning) transformation in the Albanian telecommunications industry. The focus is on SAP tools that include asset modules, the platform for managing ERP stock and inventory, and a new frontline platform for selling device and accessories for all the channels by supporting both mobile and fixed devices. The telecom industry has evolved significantly, and the need for efficient operations, better integration, enhanced security, and improved user experiences has become dominant. Cloudification of the SAP solution running in GCP is part of the revolution. The technical implementation is strongly related to the advantages of an ERP transformation within the telecommunications industry. These benefits include enhanced efficiency and productivity, seamless integration, and impeccable data accuracy, bolstered security and compliance, and an overall enhancement in user experiences. Furthermore, this implementation also navigates the challenges and critical considerations essential in this transformative journey. Re-usability is a key component since the successful implementation in a single market for a single local market, can be replicated in the other markets as well by justifying the high implementation cost of 3 million Euros and the involvement of 32 local stakeholder and 45 global stakeholders.

Influence of Regulatory Tax Changes on Business Strategies in the Telecommunications Industry

Influence of Regulatory Tax Changes on Business Strategies in the Telecommunications Industry

Analysing spectrum administration for 5G in India using a policy Delphi

5G technologies are introducing new capabilities and services in the telecommunications (telecom)industry, changing business models and market structures, and compelling alterations in regulatory frameworks. Telecom administrations across the world are making choices for regulation of key resources such as spectrum to meet 5G requirements. 5G is taking root in the Indian telecom market. This paper analyses expert stakeholder and practitioner opinion through a policy Delphi to examine what kind of regulatory and policy changes need to be made in India’s spectrum management policies in a 5G market and how these could be best adapted to the unique public policy and political economy environment of this country. It arrives at practical recommendations for planning, assigning, and pricing spectrum which could be of value to policy makers and regulators.

Study of The Factors That Influence Brand Loyalty Simpati Cards PT. Telkomsel Tbk

Customer loyalty is critical for success in today's saturated mobile telecommunications industry. However, maintaining allegiance remains challenging given technology advancements and intensifying competition. This study examines the determinants of loyalty towards Simpati, the prepaid brand of Indonesia's largest operator Telkomsel. A qualitative case study methodology was employed, comprising an extensive literature review on customer experience, satisfaction, trust, switching costs and their influence on brand loyalty in the mobile sector. Particular focus was placed on publications related to Telkomsel and its prepaid offerings. Customer data from secondary sources was also analyzed to identify patterns relating to the research objectives. The findings indicate that service quality is a key antecedent of customer experience and satisfaction. Superior fulfillment of expectations cultivates a positive brand image and drives attachment. Meanwhile, affective factors like emotional engagement and trust act as mediators reinforcing loyalty intentions over the long-term. Competitive pricing and targeted promotional campaigns also enhance perceived value. Additionally, high perceived switching costs curb defection propensity due to customers' sunk investments in the relationship.

Degradation effects in FRNC jackets of optical fiber cables

AbstractIn large scale manufacturing, polymeric materials for cable jackets are subjected to high temperature and shear, what can induce degradation processes. In result, changes in structure of polymer materials can occur what is critical for their applications. Permanent market pressure on increase of productivity and product reliability as well as rigorous administrative regulations in telecommunication industry are the driving forces for development and introduction of new advanced Flame Retardant Non-corrosive jacketing materials. Despite many studies, their behavior is still neither well characterized nor understood in large-scale production. The object of studies was characterization of a relationship between processing conditions and effects of degradation of FRNC cable materials. The main goal was to find the processing factors limiting the production speed. Materials taken into consideration were two commercially available thermoplastic FRNC compounds dedicated to fiber optic cables, based on linear low-density polyethylene/ethylene–vinyl acetate composites with high loading of aluminum trihydroxide and magnesium dihydroxide fillers. Thermal degradation of cable materials was studied with use of thermogravimetry and rheometry. The series of jacket samples under different processing conditions were produced. Material processing behavior was characterized, and tensile and heat aging performance of cable jacket were tested. The results showed that the primary limiting factors for line speed increase were the melt pressure and jacket tensile performance, but neither the shrinkage nor extruder motor load. The result and general approach to the FRNC investigation can be successfully used in cable industry or in other industries involving the extrusion of FRNC materials.

INTENT EXTRACTION FROM TEXT BY USING GLOBAL FEATURE MATRIX TO IMPROVE MAN MACHINE INTERACTION

Interaction between man and machine is the future of technology. Different mechanisms and mediums are used for this interaction such as voice, signals, pictures, videos, text etc. Text is one of the most popular medium of interaction and has gained popularity over past decades. It is used for making predictions of stock market, analysis of people’s opinion, identification of group of people with similar interests etc. In this research, the focus is to identify and analyze the intent of the written text and used it to prepare an appropriate machine response to text. There are several system available that uses semi-automatic mechanisms for interaction with humans such as the online customer care services for banks and the telecommunication industry. Different models and algorithms are used for this semi-automatic interaction. This study works on the design of a fully automated system for extracting the intents from the text, prepare an appropriate response and use the intent to do the prediction of the text. The results of the research are detailed in the methodology and experiment sections of the paper.