Search Results (102)

Sustainable digital marketing in the United Arab Emeritus (UAE) faces challenges in terms of balancing rapid technological adoption with long-term environmental goals. Many firms struggle to integrate eco-friendly practices into fast-growing online platforms. Limited consumer awareness and inconsistent regulatory frameworks further hinder the shift toward truly sustainable digital strategies. The current study addressed this problem in artificial intelligence (AI) adoption, which has rarely been addressed in sustainable digital marketing among the telecommunication companies working in the UAE. Therefore, the objective of this study is to examine the role of AI adoption in sustainable digital marketing through the promotion of smart distribution channels (SDCs), sustainable employee intention, and employee behavior. Primary data was collected using a structured questionnaire distributed among the employees of Etisalat and du in the UAE. Three hundred (300) valid responses were received, which were used for data analysis via PLS-SEM. Findings of the study proposed that AI adoption is key to promoting sustainable digital marketing through the promotion of SDCs, sustainable employee intention, and employee behavior. These results provide valuable insights for the policymakers to address the problem of sustainable digital marketing. Full article

This paper presents a novel system dynamics-based framework for forecasting market share evolution in the telecommunications sector. The framework conceptualizes market share as flows of subscribers—driven by churn, attraction, and market growth—between interconnected compartments representing providers. It is designed to operate with limited available market data and incorporates stochastic processes to capture market uncertainty, enabling risk-informed forecasts. The framework is applied to the Greek mobile telecommunications market using historical data (2006–2022), with a 5-year hold-back period for validation. Results highlight the dominant role of churn management in market share variability, particularly for the incumbent provider Cosmote, while subscriber attraction parameters show moderate influence for alternative providers Vodafone and Wind Hellas. Sensitivity analysis confirms the model’s robustness and identifies key drivers of forecast variability. The proposed framework provides actionable insights for strategic decision-making, making it a valuable tool for providers and policymakers to address churn, optimize attraction strategies, and ensure long-term competitiveness in dynamic markets. Full article

This study examines the impact of Artificial Intelligence (AI)-enhanced Environmental, Social, and Governance (ESG) reporting on firm valuation in emerging markets. It aims to explore how AI integration enhances the interpretability and predictive accuracy of ESG metrics in shaping market perceptions and investor decisions. This study employs a panel dataset from 2018 to 2024, analysing publicly listed non-financial firms across five major sectors: manufacturing, energy, telecommunications, consumer goods, and industrials. This study contributed by employing AI-powered multimodal analysis with conventional ESG scoring methods and integrating Fixed-Effects Regression with machine learning (ML) algorithms including Extreme Gradient Boosting (XGBoost) and Random Forest to identify complex, non-linear relationships within ESG data and firm valuation. The results show empirical evidence that integrating ML enhances the explanatory power of ESG data. Findings indicate that ESG performance is positively correlated with higher market valuations, particularly in Environmental and Social dimensions. Governance metrics are more inconsistent, which may be due to heterogeneity in governance practices, regulatory enforcement and the challenges of quantifying governance quality beyond compliance indicators across the focus emerging markets. Firms identified in ESG controversies tend to face valuation penalties, which stresses market sensitivity to reputational risks. ML algorithms outperform conventional techniques in predictive accuracy, revealing complex, non-linear interactions within ESG data. This study contributes to both the academic literature and practice showing how next-generation ESG reporting can robust valuation models, address limitations of conventional ESG scoring, and ensure a reliable outlook for investors and policymakers of industries in emerging markets. Full article

Electromagnetic interference (EMI) represents a growing challenge in the modern era, as electronic systems and wireless technologies become increasingly integrated into daily life. This review provides a comprehensive overview of EMI, beginning with its historical evolution over centuries, from early power transmission systems and industrial machinery to today’s complex environment shaped by IoT, 5G, smart devices, and autonomous technologies. The diverse sources of EMI and their wide-ranging effects are examined, including disruptions in electrical and medical devices, ecological impacts on wildlife, and potential risks to human health. Beyond its technical and societal implications, the economic dimension of EMI is explored, highlighting the rapid expansion of the global shielding materials market and its forecasted growth driven by telecommunications, automotive, aerospace, and healthcare sectors. Preventative strategies against EMI are discussed, with particular emphasis on the role of advanced materials. Carbon-based nanomaterials—such as graphene, carbon nanotubes, and carbon foams—are presented as promising solutions owing to their exceptional conductivity, mechanical strength, tunable structure, and environmental sustainability. By uniting perspectives on EMI’s origins, consequences, market dynamics, and mitigation strategies, this work underscores the urgent need for scalable, high-performance, and eco-friendly shielding approaches. Special attention is given to recent advances in carbon-based nanomaterials, which are poised to play a transformative role in ensuring the safety, reliability, and sustainability of future electronic technologies. Full article

With the rapid development of technology, an increasingly competitive environment, and evolving consumer behaviour, the use of modern marketing tools has become a key challenge for companies of various types (manufacturing, providing services, sports organizations, universities, etc.). Although sustainable digital communication methods are gaining prominence, existing research often focuses merely on describing communication trends without providing decision-making frameworks for strategy optimisation. This paper addresses this gap by mapping the current state of marketing communication strategies among large telecommunication companies in Slovakia and assessing their impact on customer behaviour and market position. Data were analysed through a combination of qualitative and quantitative research methods, including document analysis, annual reports, surveys, and personal observations. One enterprise was selected for detailed data analysis. The results confirm a significant relationship between the use of communication channels and the company’s market position, brand popularity, and the strong influence of employee recommendations. Unlike previous studies, which predominantly describe marketing communication trends and tools, this research integrates the evaluation of communication strategy effectiveness with a systematic management decision-making model based on the PDCA (Plan-Do-Check-Act) continuous improvement cycle. This approach enables continuous optimisation of sustainable communication strategies and provides actionable managerial guidance for improving resource allocation, market position, and organisational adaptability in dynamic market environments. Full article

This study examines how contract structures influence coordination and innovation incentives in dual-channel telecommunications supply chains. We consider a setting where a mobile network operator (MNO) supplies services both directly to consumers and indirectly through a mobile virtual network operator (MVNO), which competes in the retail market. Using a game-theoretic framework, we evaluate how different contracts—single wholesale pricing, revenue sharing, and quantity discounts—shape strategic decisions, particularly in the presence of investment spillovers between parties. A key coordination problem emerges from the externalized gains of innovation, where one party’s investment generates value for both participants. Our results show that single wholesale and revenue sharing contracts often lead to suboptimal investment and profit outcomes. In contrast, quantity discount contracts, especially when combined with appropriate transfer payments, improve coordination and enhance the total performance of the supply chain. We also find that innovation led by the MVNO, while generally less impactful, can still yield reciprocal benefits for the MNO, reinforcing the value of cooperative arrangements. These findings emphasize the importance of contract design in managing interdependence and improving efficiency in decentralized supply chains. This study offers theoretical and practical implications for telecommunications providers and policymakers aiming to promote innovation and mutually beneficial outcomes through well-aligned contractual mechanisms. Full article

This study investigates the impact of physical and financial infrastructure on the dynamics of net total capital flows in BRICS economies over the period 2010–2024. Using panel data and a fixed-effects regression model with robust standard errors, it analyzes how infrastructure quality, both physical (transport, energy, and telecommunications) and financial (banking systems, capital markets, and regulation), affects private capital inflows. The results show a statistically significant positive relationship, with physical infrastructure reducing business costs and financial infrastructure improving capital allocation and investor confidence. This paper contributes novel empirical evidence linking infrastructure systems with capital flow dynamics, providing key insights for policymakers aiming to enhance resilience and attract sustainable private investment. Full article

The objective of the study is to examine the effects of investor sentiment on the Johannesburg Stock Exchange (JSE) index returns in bull and bear market conditions. Accordingly, this study uses monthly data to construct a new market-wide investor sentiment index and test its effects on the JSE aggregated and disaggregated index returns in alternating market conditions for the period March 2007 to January 2024. The findings of the Markov regime-switching model reveal that when the JSE is in a bull market condition, the JSE oil and gas sector returns and the JSE telecommunication sector returns are affected positively by investor sentiment. Similarly, in a bearish state, the JSE health sector returns and JSE telecommunication sector returns are negatively affected by investor sentiment. Collectively, the findings suggest that the effects of investor sentiment on JSE index returns are regime-specific and time-varying, such that they are dependent on the market conditions (bull or bear) and the type of JSE index (aggregated or disaggregated index). Accordingly, investors must consider this information to ensure resilient investment decisions and risk management strategies in sentiment-induced markets and alternating market conditions. Full article

The paper intends to contribute to readers’ comprehension of the Greek telecommunications market, focusing on the strategic decisions associated with network tower-sharing analysis in Greece. The Greek telecommunications industry is described for the first time following the Structure–Conduct–Performance (SCP) paradigm of Industrial Organisation (IO), as a methodological tool of analysis. In that respect, an SCP model in its extended form is constructed, aiming to examine how structure, conduct, and performance interrelate to each other. More precisely, the SCP model explains how strategic decisions regarding tower infrastructure sharing between 2013–2022 were developed, as a result of a series of interactions and feedback effects, amongst market structure, operators’ conducts, and performances, resulting in strengthening competition and reshaping market structure with the entrance of a new player in the Greek mobile market, an independent TowerCo (Athens, Greece) in Greece. International tendencies and competition issues influencing domestic growth potentialities and alternative operators’ concentration will be addressed, too. The paper concludes with presenting a basically qualitative, explanatory interpretive analysis of the perspectives of network tower-sharing analysis in the Greek telecommunication industry, including policy recommendations for the near future and thoughts on future research, as well. Full article

Spectrum auctions in international mobile telecommunications (IMT) are a representative method for selling the right to transmit signals within a specific band of electromagnetic waves to communication service providers (CSPs); it is important to design a fair spectrum auction that can benefit both government and auction bidders. The government should reduce the burden of maintenance costs by setting a reasonable initial price and selling it to bidders at the highest price they can afford. However, due to the complex auction rules and decision-making process, not many studies has been conducted on how to select an appropriate initial price for the auction. This study aims at introducing a novel simulation modeling approach to develop a spectrum auction policy for international mobile telecommunications (IMT) using agent-based simulation (ABS), which involves three telecommunications service provider types (i.e., the Aggressive bidder, the Moderate bidder, and the Conservative bidder) and the auction environment of IMT in South Korea. In particular, the proposed approach adopts the exponential utility theory to model the behavior of auction bidders and identify the optimal initial bid price. The devised ABS model is calibrated to the IMT spectrum auction conducted in 2018 in South Korea, and the best initial pricing policy identified (i.e., $85.24 million per spectrum block) regarding a sustainable market environment for existing service providers (i.e., 10 blocks for the Aggressive bidder, 10 blocks for the Moderate bidder, and 8 blocks for the Conservative bidder). The proposed approach will be beneficial to both government agencies and auction bidders under fair competition in the IMT market. Full article

This study examines the defection patterns of post-paid telephone customers based on migrant status and season-wise acquisition using the Weibull model. Data from 48,666 post-paid customers were extracted from the data warehouse of a telephone company in Nepal. After pre-processing, the migrant status and season of acquisition for 48,583 customers were identified. Survival analysis was then conducted using the Kaplan–Meier (K-M) method to estimate the hazard of defection. Finally, the Weibull model was applied to analyse defection patterns concerning migrant status, default status, and season-wise acquisition in relation to survival periods. The results indicate that migrant customers have a significantly higher probability of defection compared to non-migrant customers. Additionally, the season of acquisition has a notable impact on customer survival duration. The study also highlights a higher risk of involuntary defection among migrant customers. These findings can inform the development of marketing strategies aimed at improving customer retention and acquisition in the telecommunications sector. Moreover, the model and methodology employed in this research can be extended to other marketing contexts. Full article

App-based marketing has been widely used in the telecommunications industry to both serve and draw in new customers. Typically, telecom providers must invest an amount of company resources to develop and maintain the operations mechanism of information technology platforms (e.g., mobile apps); therefore, it is important to take the issue of marketing effectiveness into account. For example, the mismatch between what telecom providers offer in their mobile apps and customers’ marketing requirements plays a significant role in determining unmet knowledge and presentation gaps that are related to the marketing domain. This research intends to propose an integrated Fuzzy MCDM model based on 4Ps (Product, Price, Place, Promotion) and 4Cs (Customer Needs, Cost, Convenience, Communication) models for evaluating mobile telecom applications (MTAs). Therefore, the 4Ps and 4Cs models are extended to develop a hierarchy model for evaluating MTAs. Next, fuzzy theory is applied to handle the subjectiveness of qualitative evaluation criteria while the Analytic Hierarchy Process (AHP) is applied to synthesize the weight and score of the evaluation criteria. The proposed model is applied to evaluate, rank, and analyze the MTA of three telecom providers in the Kingdom of Saudi Arabia (KSA) (e.g., STC, Zain, and Mobily). The conducted case study ensures the usability and applicability of the proposed model. The evaluation results offer several managerial actions for achieving ideal app-based marketing. Full article

This study addresses FinTech implementation challenges in the banking industry in Palestine. This was accomplished by adopting qualitative research methods. Semi-structured interviews were conducted with interviewees from the Palestinian Monetary Authority, banks, and FinTech companies. Thematic analysis was conducted using NVivo 12 software to identify themes in the interview scripts. Research outcomes suggest that FinTech development in Palestine encounters a range of multifaceted challenges, which can be categorised using the TOE (technological, organisational, environmental) framework. On the technological front, issues such as underdeveloped IT and telecommunications infrastructure, restricted mobile frequencies due to Israeli occupation, limited IT expertise, cyber risks, low digital literacy, and minimal FinTech awareness hinder progress. Organizationally, resistance to change, inadequate agility, limited digital skills, and slow Sharia compliance updates in Islamic banking impede innovation. Environmentally, the absence of a dedicated FinTech framework, unclear regulatory guidance, limited market size, and strict AML/CFT regulations create uncertainties for non-bank entities and restrict investment opportunities. Addressing these interconnected barriers requires coordinated efforts across legal, financial, and technological sectors to foster FinTech integration and growth in Palestine. Full article

In the next decade, the amount of network traffic is estimated to reach Zettabytes. The future International Mobile Telecommunications-2030 (IMT-2030) standard of mobile networks, known as 6G, introduces an important paradigm shift in the context of wireless communication systems thanks to capabilities such as low latency and high data rates. Official documents on 6G standardization have been released by the International Telecommunication Union (ITU). However, other visions and use cases of 6G have been proposed by industrial stakeholders and research institutions, thus generating a multitude of use cases and usage scenarios that are only apparently different from each other. This paper would contribute to providing a holistic vision of the 6G-enabled use cases and potentially impacted vertical market sectors. The differences and similarities between what has been proposed by ITU and other initiatives are identified through a comparison based on the technological characterization of use cases and of the considered vertical market sectors. The main findings presented in this paper demonstrate that many of the use cases proposed by ITU and by the other initiatives are almost identical in many cases. Full article

The world’s economy is experiencing important changes brought on by diverse factors, namely technological advancements, the appearance and diffusion of personal computers, high-speed telecommunications, and the Internet. These technological changes have influenced the corporate environment, with recent decades denominated as the information economy, the digital economy, the economy of knowledge, a risk society, and the age of quality and innovation. To designate the key concept of the new economic era as “intellectual capital” implies a classification and evaluation effort in order to proceed with its generalization. In today’s world, the study of a model capable of adding explanatory diversity to intellectual capital is very relevant. We observed a true panoply of concepts in the analyzed models based on a literature review. The conceptual evolution during recent decades has motivated many investigations in this field, resulting from the phenomenon of globalization, growing technological innovation, and the observation of significant disparities between the market value and the accounting value of companies. This article describes an investigation carried out, presenting an explicative model of intellectual capital based on four distinct patterns, which are the aggregating factors of the existing conceptual diversity. We present the identification of a model with two axes, x (the type of knowledge, from tacit to explicit) and y (the capital of knowledge, from human to structural), which represents the conceptual diversity mirrored in four quadrants resulting from the research carried out with an initial exploratory study and two following studies with 45 and 72 specialists. In this article we analyze the Martins model, which proves to be essential for systematizing and mapping the dimensions that intellectual capital includes. This model can be used to identify the different aspects of intellectual capital in an organization and thus contribute to its understanding, optimization and good management. Full article