A system approach to incorporating consumer expectations in the satellite services development process
- Authors: Chistyakov V.Y.1, Yudin A.V.2, Grosheva P.Y.2
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Affiliations:
- JSC “Russian Space Systems”
- MIREA – Russian Technological University
- Issue: Vol 12, No 5 (2025)
- Pages: 56-66
- Section: SYSTEM ANALYSIS, INFORMATION MANAGEMENT AND PROCESSING, STATISTICS
- URL: https://journal-vniispk.ru/2313-223X/article/view/358385
- DOI: https://doi.org/10.33693/2313-223X-2025-12-5-56-66
- EDN: https://elibrary.ru/EIMNFC
- ID: 358385
Cite item
Abstract
The article examines a systematic approach to the development and implementation of innovative satellite services, based on accounting for consumer expectations and forecasting market needs. The authors analyze key factors influencing the successful promotion of such services, including technological trends, competitive environment, and quality management methods. Special attention is paid to technological forecasting methodologies, such as Foresight analysis and weak signal monitoring, as well as the development of roadmaps for creating radically new solutions. A conceptual model of consumer satisfaction integrating ISO 9000 principles is proposed, and mechanisms for adapting services to changing market conditions are discussed.
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##article.viewOnOriginalSite##About the authors
Vyacheslav Yu. Chistyakov
JSC “Russian Space Systems”
Author for correspondence.
Email: chistykov_vu@spacecorp-rkd.ru
Head, Centre for the Implementation of Space Results Projects, Space Results Projects Directorate
Russian Federation, MoscowAlexander V. Yudin
MIREA – Russian Technological University
Email: yudin_a@mirea.ru
SPIN-code: 4917-0840
Dr. Sci. (Econ.), Cand. Sci. (Phys.-Math.), Associate Professor, Head, Department of Industrial Programming, chief researcher, Research and Educational Laboratory of Industrial Programming, Institute of Advanced Technologies and Industrial Programming
Russian Federation, MoscowPolina Yu. Grosheva
MIREA – Russian Technological University
Email: grosheva@mirea.ru
ORCID iD: 0000-0001-7546-6903
SPIN-code: 1399-2661
Scopus Author ID: 57204213905
Cand. Sci. (Econ.), associate professor, Department of Industrial Programming, Institute of Advanced Technologies and Industrial Programming
Russian Federation, MoscowReferences
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