Comprehensive Techno-Economic (CTE) Model – Summary

1. Introduction and Purpose The Comprehensive Techno-Economic (CTE) Model is a novel analytical framework designed to assess and compare the potential of telecommunications operators in the context of Industry 4.0. The model aims to deliver fast, reliable, and quantitative evaluations of telecom operators’ technological, business, and environmental capacities—overcoming limitations of existing fragmented models like eTOM, ITIL, TAM, SWOT and PESTLE. Its main objectives are: • To provide a complete, modular, and mathematically grounded analysis of telecom performance and readiness. • To enable quick and accurate assessments of internal potential and external adaptability. • To assist telecom management in making strategic and investment decisions. • To facilitate comparative analysis among operators in the same or different markets. The CTE model integrates both technical and economic perspectives, making it particularly suitable for guiding telecom transformation strategies amid rapid technological change (5G, IoT, AI-driven networks, etc.).

2. Structure of the CTE Model The CTE model is structured across three hierarchical levels, eight analytical areas, and fourteen defined segments, each consisting of quantifiable items. Every item is mathematically expressed, ensuring objectivity and comparability. Each area has a maximum score of 1.0, summing to a total potential score of 8.0 for a telecom operator. (a) Technical Level (TL) Focuses on the infrastructure, network capabilities, and technology implementation. Areas: 1. Coverage and Accessibility to Users Evaluates the quality of mobile and fixed network access, including parameters such as data rates (download/upload), latency, fiber connectivity, and network reach. Example parameters include: o Mobile access quality in urban/rural zones o Fiber-to-the-home/business penetration o Backbone transmission capacity and resilience 2. Technological and IT Development Measures the adoption and readiness for emerging technologies, automation, and IT systems (e.g., billing, OSS/BSS, cloud integration, AI tools). Example: The quality of billing system adaptability (speed of tariff model updates). (b) Business Level (BL) Assesses the organization’s ability to innovate, manage services, and deliver customer value. Areas: 3. Products Development Measures the diversity, innovation, and market fit of telecom products—both fixed and mobile. Example: prepaid/postpaid tariff competitiveness, product flexibility, and update frequency. 4. Services Development Evaluates the creation of new-generation services like IoT, smart city solutions, telemedicine, and industrial automation. Example: IoT specialized services are scored through sub-items such as smart home, smart city, smart agriculture, smart energy, and smart healthcare services. 5. Sales and Customer Care Analyzes distribution network quality, omnichannel presence, and customer interaction efficiency. It considers both physical and digital channels across urban tiers, reflecting customer accessibility and service satisfaction. 6. Human Resources (HR) Evaluates organizational capability through management quality, staff development, training programs, and employee motivation. Example: managerial effectiveness at top, middle, and lower levels is mathematically defined via weighted factors. (c) Environmental Level (EL) Explores the interaction between the telecom operator and external market conditions. Areas: 7. Political, Financial, Legal, and Regulatory Environment Examines how external constraints or incentives affect business potential—regulatory stability, investment climate, taxation, and financial sustainability. Example metric: impact of international business visitors on telecom revenue. 8. Quality of Brand and Public Presence Assesses brand reputation, digital visibility, and public perception. Uses social media metrics (followers, activity, engagement) and marketing effectiveness to quantify telecom visibility and customer trust. 3. Model Operation and Mathematical Logic Each item in the model is assigned a weight (typically 0.1), with performance values normalized against reference values (industry standards, benchmarks, or maximum observed data). Equations use a factor-based structure (F) to represent the relative importance of each parameter (e.g., latency vs. speed), ensuring adaptability to changing priorities. The scoring methodology: • Each area = sum of 10 items × 0.1 (max value = 1.0) • Total telecom score = sum of 8 area scores (max = 8.0) • Category interpretation: o 0.00–0.25 → Insufficient o 0.25–0.50 → Satisfactory o 0.50–0.75 → Good o 0.75–0.90 → Very Good o 0.90 → Excellent This standardized approach ensures quantitative comparability across operators and markets. 4. Modularity and Application A key innovation of the CTE model is its modularity: • It can be applied as a full model (all 8 areas) or partially (single area or item). • It allows quick targeted analysis of specific business segments (e.g., mobile coverage quality or HR readiness). • It supports comparative benchmarking between telecoms in the same or different countries. In validation studies, the model was applied to three mobile operators, analyzing coverage and accessibility. The results confirmed that: • The model effectively highlights gaps (e.g., poor indoor coverage, lack of IoT readiness). • Recommendations for network or process improvements can be directly derived from item-level results. 5. Example Case – Application of CTE In a case study, the model was used to assess one telecom operator across all eight areas. Results (total = 2.47/8.00) indicated “satisfactory potential” with improvement needs in: • Service innovation • HR development • Digital brand presence • Reduction of external dependencies Such findings provide a strategic roadmap for telecom executives, aligning investment priorities with measurable performance metrics. 6. Advantages and Contributions The CTE model introduces several innovations: 1. Comprehensiveness: Integrates technical, business, and environmental aspects into a single analytical structure. 2. Objectivity: Uses mathematically defined indicators, minimizing subjectivity in evaluations. 3. Speed and Simplicity: Requires limited inputs but yields detailed insights. 4. Flexibility: Adaptable to various telecom contexts and scalable over time. 5. Practicality: Designed for real-world application by operators and regulators for benchmarking, investment decisions, or transformation planning. Scientific contributions include: • A new modular techno-economic framework for telecom operators. • Demonstration of quantitative comparison across markets. • Empirical validation confirming model reliability and utility for strategic decision-making. 7. Conclusion The Comprehensive Techno-Economic (CTE) Model provides a systematic and efficient approach for evaluating telecom operators’ readiness in the evolving digital ecosystem. It bridges the gap between theoretical models and practical needs by: • Combining engineering and business analytics into one framework, • Enabling faster decision-making with high accuracy, • Supporting Industry 4.0 adaptation and digital transformation. As telecom markets evolve toward AI-driven 6G, IoT, and Smart City ecosystems, the CTE model offers a foundation for future extensions, including integration of AI-based predictive analytics and dynamic scenario simulation. Reference: Jurčić, I., & Gotovac, S. (2022). A Comprehensive Techno-Economic Model for Fast and Reliable Analysis of the Telecom Operator Potentials. Applied Sciences, 12(20), 10658. MDPI. https://doi.org/10.3390/app122010658