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Design Thinking for Business Process Optimization. Empirical Evidence from Ukrainian Small and Medium-Sized Enterprises in Volatile Markets

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Author(s):
  • Olena BULAVINA Pedagogy and Psychology Department, Kyiv National Economic University named after Vadym Hetman, Ukraine
  • Oleh RUDYK Department of Public Management and Administration Odesа Polytechnic National University, Ukraine
  • Dmytro CHASOVNYKOV Interregional Academy of Personnel Management, Ukraine
  • Iryna MYNCHYNSKA Department of Business Economics Taras Shevchenko National University of Kyiv, Ukraine
  • Alina LYTVYNENKO Department of International Economic Relations and Business Security Simon Kuznets Kharkiv National University of Economics, Ukraine
Abstract:

The active spread of digital transformation forces small and medium-sized enterprises (SMEs) in Ukraine to look for innovative approaches to improving process efficiency. The aim of the study is to assess the relationship between the level of design thinking implementation, digitalization, innovative activity, and operational efficiency of enterprises. 
The methodological framework is a panel-type econometric model with fixed effects based on secondary statistics for 2022–2024. The sample was formed from 252 Ukrainian enterprises representing five sectors of the economy: industry, trade, transport, information and communication technologies (ICTs), and professional services. The business Process Optimization Index (POI) was used as the dependent variable and the Design Thinking Index as the main influencing factor. The obtained results indicate a positive and statistically significant relationship between the implementation of design thinking and the business process efficiency (β=0.215, p<0.01The highest indicators were recorded in the ICTs (BPO=125.4) and trade (BPO=114.8) sectors, where design thinking is combined with a high level of digital maturity. 

The conclusions confirm that the implementation of design thinking is an effective tool for increasing the productivity and competitiveness of small and medium-sized enterprises. The findings also indicate that design thinking contributes to the reduction of transaction costs, optimization of customer acquisition processes, and improvement of customer lifetime value through stronger customer orientation and more efficient business process design. The practical significance is the possibility of applying the obtained results to form state policies to support the innovative development of SMEs. The novelty of the study is the quantitative confirmation of the impact of design thinking on the efficiency of business processes using a composite index and panel econometric analysis. 


Copyright© 2026 The Author(s). This article is distributed under the terms of the license CC-BY 4.0., which permits any further distribution in any medium, provided the original work is properly cited.


Article’s History: Received 4th of June, 2026; Revised 29th of July, 2026; Accepted 25th of August, 2026; Available online: 30th of September, 2026. Published as research article in the Volume XXI, Fall, Issue 4(94), 2026.


How to cite:

Bulavina, O., Rudyk, O., Chasovnykov, D., Mynchynska, I., & Lytvynenko, A. (2025). Design Thinking for Optimization of Business Processes in Small and Medium-Sized Enterprises. Journal of Applied Economic Sciences, Volume XXI, Fall, 4(94), 1359 – 1374. https://doi.org/10.57017/jaes.v21.4(94).13


CRediT Authorship Contribution Statement: Bulavina, O.: Conceptualization, Methodology, Supervision, Writing – original draft, Writing – review & editing. Rudyk, O.: Methodology, Data curation, Formal analysis, Validation. Chasovnykov, D.: Investigation, Formal analysis, Visualization. Mynchynska, I.: Data curation, Validation, Writing – review & editing. Lytvynenko, A.: Investigation, Literature review, Visualization, Writing – review & editing. All authors reviewed and approved the final version of the manuscript.


Declaration of Competing Interest: The authors declare that they have no known competing financial interests or personal relationships that could have influenced the work reported in this paper.


Acknowledgments/Funding: The authors received no specific funding for this research and have no acknowledgments to declare.


Conflict of Interest Statement: The authors declare no conflicts of interest related to this study.


Data Availability Statement: The study is based on secondary data obtained from publicly available official statistical databases and reports cited in the manuscript. The data sources used for the analysis are identified in the Methods section and References.


Ethical Approval Statement: Ethical approval was not required for this study, as the research was based exclusively on secondary, publicly available, and aggregated data and did not involve human participants, personal data, or experimental interventions.


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