Abstract
The paper discusses the theoretical provisions and practical recommendations for the implementation, development and use of QFD analysis to improve the competitive ability of the organization and customer satisfaction, explored the application of Weber–Fechner law. Based on the analysis of theoretical and practical work, it can be concluded that at present many problems are devoted to the study of consumer satisfaction. However, most of the research involves processes to quality assurance of the products produced at each stage of the life cycle, which would guarantee a result that meets the requirements and expectations of the consumer. Attention is paid to issues of competitive ability of organizations to a lesser extent, which is currently the most urgent problem for domestic manufacturers. A universal tool for developing new products is QFD analysis, which forms a continuous information flow, ensuring that all elements of the production system are interconnected and subordinated to consumer requirements. From the point of view of the organization’s management, the introduction of QFD analysis is seen as an improvement in the design, technology or process in order to save costs, improve quality and other strategic goals to ensure the competitiveness of the organization. The disadvantages of the existing approach are that the method of calculating the significance of product characteristics does not take into account the degree of the organization’s lagging behind competitors.
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References
Antipov DV, Akhmetzhanova GV, Antipova OI, Gazizulina AU, Sharov R (2017) Organizational models of teal organizations. Paper presented at the 2017 6th international conference on reliability, Infocom technologies and optimization: trends and future directions, pp 222–230. https://doi.org/10.1109/icrito.2017.8342428
Arjunwadkar PY (2018) FinTech: the technology driving disruption in the financial services industry. Auerbach Publications
Ashta A, Biot-Paquerot G (2018) FinTech evolution: strategic value management issues in a fast changing industry. Strateg Change 27(4):301–311
McKelvey B (2018) Modelling and statistical analysis of empirical data. Handbook of research methods in complexity science: theory and applications, 221p
Bandara W (2018) Developing enterprise-wide business process management capability: a teaching case from the financial sector. J Inf Technol Teach Cases, pp 1–17
Behr A (2015) Stochastic Frontier analysis, production and efficiency analysis with R. Springer, Cham, pp 183–201
Blakstad S, Allen R (2018) New standard models for banking, FinTech revolution. Palgrave Macmillan, Cham, pp 147–166
Blomstrom D (2018) The relationship between financial services and technology. Emotional Banking. Palgrave Macmillan, Cham, pp 3–16
Battese GE, Coelli TJ (1995) A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Economics 20(2):325–332
Bychkova A, Rudskaia I (2018) Assessing the efficiency of a regional innovation system as one of the models for running an innovative business. Paper presented at the ACM international conference proceeding series, pp 208–212. https://doi.org/10.1145/3230348.3230350
Demidenko DS, Malinin AM, Litvinenko AN (2017) A new classification of the risks of the quality processes. In: Proceedings of the 30th international business information management association conference, IBIMA 2017—vision 2020: sustainable economic development, innovation management, and global growth, p 2897
Didenko NI, Skripnuk DF, Kikkas KN, Sevashkin V, Romashkin G, Kulik SV (2018) Innovative and technological potential of the region and its impact on the social sector development. In: International conference on information networking, pp 611–615. https://doi.org/10.1109/icoin.2018.8343191
Didenko NI, Skripnuk DF, Mirolyubova OV (2017) Big data and the global economy. In: Proceedings of 2017 10th international conference management of large-scale system development, MLSD 2017, p 8109611. https://doi.org/10.1109/mlsd.2017.8109611
Didenko NI, Skripnuk DF, Mirolyubova OV, Merkulov V, Sevashkin V, Samylovskaya E (2018) System of econometric equations of the world market of natural gas. In: International conference on information networking, pp 217–222. https://doi.org/10.1109/icoin.2018.8343113
Didenko N, Skripnuk D, Mirolyubova O, Radion M (2017) Analysis of rural areas development of the region using the ADL-model. Res Rural Dev 2(2):142–147. https://doi.org/10.22616/rrd.23.2017.061
Gazizulina A, Eskina E, Vasilieva I, Valeeva O (2017) The reasons for the increase in self-organization in companies. Int J Reliab Qual Saf Eng 24(6):1740002. https://doi.org/10.1142/S0218539317400022
Ismagilova LA, Gileva TA, Galimova MP, Glukhov VV (2017) Digital business model and smart economy sectoral development trajectories substantiation. In: Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol 10531, pp 13–28. https://doi.org/10.1007/978-3-319-67380-6_2
Jaeger A (2018) Achieving business excellence through self-assessment for personal and professional excellence. Total Qual Manag Bus Excell 29(13–14):1612–1632. https://doi.org/10.1080/14783363.2017.1288564
Demidenko DS, Malevskaia-Malevich ED, Dubolazova YA (2018) ISO as a real source of funding. Pricing issues. Paper presented at the international conference on information networking, Jan 2018, pp 622–625. https://doi.org/10.1109/icoin.2018.8343193
Klochkov Y (2018) Conflicts between quality management methods. Paper presented at the 2017 international conference on Infocom technologies and unmanned systems: trends and future directions, ICTUS 2017, pp 34–36. https://doi.org/10.1109/ictus.2017.8285970
Kolesnikov AM, Malevskaia-Malevich ED, Dubolazova YA (2017) Peculiarities of quality management methodology for innovation projects of industrial enterprises. Paper presented at the proceedings of the 30th international business information management association conference, IBIMA 2017—vision 2020: sustainable economic development, innovation management, and global growth, pp 2898–2901
Koop G, Osiewalski J, Steel MFJ (1999) The components of output growth: a stochastic frontier analysis. Oxford Bull Econ Stat 61(4):455–487
Kozlovskiy V, Aydarov D (2017) Analytical models of mass media as a method of quality management in the automotive industry. Qual Access Succ 18(160):83–87
Kozlovskiy V, Aydarov D (2017) Development of remote tools to assess the effectiveness and quality of car service enterprises work. Int J Qual Res 11(3):573–586. https://doi.org/10.18421/IJQR11.03-06
Kumbhakar SC, Lovell CAK (2003) Stochastic frontier analysis. Cambridge University Press
Minarchenko IM, Saiko IL (2018) The future of neobanks in the development of banking sector
Ozerov ES, Pupentsova SV, Leventsov VA, Dyachkov MS (2017) Selecting the best use option for assets in a corporate management system. Paper presented at the 2017 6th international conference on reliability, Infocom technologies and optimization: trends and future directions, ICRITO 2017, pp 162–170. https://doi.org/10.1109/icrito.2017.8342418
Pogodaeva TV, Zhaparova DV, Rudenko DY, Skripnuk DF (2015) Innovations and socio-economic development: problems of the natural resources intensive use regions. Mediterr J Soc Sci 6(1):129–135. https://doi.org/10.5901/mjss.2015.v6n1p129
Raskin D, Vassiliev A, Samarin V, Cabezas D, Hiererra SE, Kurniawan Y (2018) Rapid prototyping of distributed embedded systems as a part of internet of things. Proc Comput Sci 135:503–509. https://doi.org/10.1016/j.procs.2018.08.202
Romashkina GF, Didenko NI, Skripnuk DF (2017) Socioeconomic modernization of Russia and its arctic regions. Stud Russ Econ Dev 28(1):22–30. https://doi.org/10.1134/S1075700717010105
Mednikov MD, Sokolitsyn AS, Ivanov MV, Sokolitsyna NA (2017) Forming optimal enterprise development strategies. Paper presented at the proceedings of the 30th international business information management association conference, IBIMA 2017—vision 2020: sustainable economic development, innovation management, and global growth, pp 1053–1063
Rudenko AA, Iskoskov MO, Antipov DV, Polyakova TV, Zaharov SO (2016) Peculiarities of enterprises functioning under conditions of cyclicality of the economy. Int J Econ Financ Issues 6(2):219–224
Schmidt P (2002) Stochastic frontier analysis, F156–F158
Sedevich-Fons L (2018) Linking strategic management accounting and quality management systems. Bus Process Manag J 24(6):1302–1320. https://doi.org/10.1108/BPMJ-02-2018-0038
Silkina GY (2017) Information and communication technologies in ensuring of innovative development. Paper presented at the proceedings of the 29th international business information management association conference—education excellence and innovation management through vision 2020: from regional development sustainability to global economic growth, pp 1165–1176
Sokolitsyn AS, Ivanov MV, Sokolitsyna NA (2017) Financial policy: defining short-term credit under fixed and circulating capital for providing financial sustainability of industrial enterprise development. Paper presented at the proceedings of the 29th international business information management association conference—education excellence and innovation management through vision 2020: from regional development sustainability to global economic growth, pp 201–215
Tsvetkova NA, Tukkel IL, Ablyazov VI (2017) Simulation modeling the spread of innovations. Paper presented at the proceedings of 2017 20th IEEE international conference on soft computing and measurements, SCM 2017, pp 675–677. https://doi.org/10.1109/scm.2017.7970686
Volkova VN, Vasiliev AY, Efremov AA, Loginova AV (2017) Information technologies to support decision-making in the engineering and control. Paper presented at the proceedings of 2017 20th IEEE international conference on soft computing and measurements, SCM 2017, pp 727–730. https://doi.org/10.1109/scm.2017.7970704
Klochkov Y, Gazizulina A, Muralidharan K (2019) Lean six sigma for sustainable business practices: a case study and standardisation. Int J Qual Res 13(1):47–74. https://doi.org/10.24874/IJQR13.01-04
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This research work was supported by the Academic Excellence Project 5-100 proposed by Peter the Great St. Petersburg Polytechnic University.
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Klochkov, Y.S., Gazizulina, A., Ostapenko, M. (2020). Improving the QFD Methodology. In: Kapur, P.K., Singh, O., Khatri, S.K., Verma, A.K. (eds) Strategic System Assurance and Business Analytics. Asset Analytics. Springer, Singapore. https://doi.org/10.1007/978-981-15-3647-2_32
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