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The Use of Robotic Process Automation (RPA) as an Element of Smart City Implementation: A Case Study of Electricity Billing Document Management at Bydgoszcz City Hall

Author

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  • Andrzej Sobczak

    (Collegium of Economic Analysis, Warsaw School of Economics, 162 Niepodległości Street, 02-554 Warsaw, Poland)

  • Leszek Ziora

    (Faculty of Management, Czestochowa University of Technology, 19B Armii Krajowej Street, 42-200 Czestochowa, Poland)

Abstract

Smart cities are an extremely important, multi-faceted subject, both in terms of their practical aspects and in terms of research. This is expressed, among other things, in the multitude of approaches to this concept. These approaches differ based on the emphasis placed on individual aspects: some focus more on technology, and others put more weight on social issues, while still others value sustainable development issues. Currently, an important topic of discussion about the development of the smart city—the importance of which has become even greater in the context of the COVID-19 pandemic—is the digital transformation of the city. The use of robotic process automation (RPA) tools can be a part of such a transformation, as such tools, using advanced software, enable the automation of those tasks carried out thus far by humans. Although such an approach has, to date, been widespread in the case of enterprises (in particular, those operating in the financial and BPO/SSC sectors, but less often in the utilities sector, the first applications of these solutions in the context of process automation for cities are also beginning to emerge in various parts of the world. This article is based on a case study approach. The implementation conditions (including the constraints) of such an approach, the benefits achieved, and the lessons learned (which can be important for other local government units) are outlined using the example of the Bydgoszcz city hall’s (Poland) electricity billing document management. The results of the case study presented here lead to the conclusion that the use of RPA tools enables, very quickly and at relatively low cost, measurable results to be achieved that are related to the processing of electricity billing documentation for the city of Bydgoszcz. This allows the assertion to be made that robotic process automation can be taken into consideration as one of the tools used to build smart cities.

Suggested Citation

  • Andrzej Sobczak & Leszek Ziora, 2021. "The Use of Robotic Process Automation (RPA) as an Element of Smart City Implementation: A Case Study of Electricity Billing Document Management at Bydgoszcz City Hall," Energies, MDPI, vol. 14(16), pages 1-22, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:5191-:d:619448
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    References listed on IDEAS

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    1. Sorin ANAGNOSTE, 2018. "Setting Up a Robotic Process Automation Center of Excellence," Management Dynamics in the Knowledge Economy, College of Management, National University of Political Studies and Public Administration, vol. 6(2), pages 307-322, June.
    2. Anagnoste Sorin, 2018. "Robotic Automation Process – The operating system for the digital enterprise," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 12(1), pages 54-69, May.
    3. André Luis Azevedo Guedes & Jeferson Carvalho Alvarenga & Maurício Dos Santos Sgarbi Goulart & Martius Vicente Rodriguez y Rodriguez & Carlos Alberto Pereira Soares, 2018. "Smart Cities: The Main Drivers for Increasing the Intelligence of Cities," Sustainability, MDPI, vol. 10(9), pages 1-19, August.
    4. Willcocks, Leslie & Lacity, Mary & Craig, Andrew, 2017. "Robotic process automation: strategic transformation lever for global business services?," LSE Research Online Documents on Economics 71146, London School of Economics and Political Science, LSE Library.
    5. Toru Yamamoto & Hirofumi Hayama & Takao Hayashi & Taro Mori, 2020. "Automatic Energy-Saving Operations System Using Robotic Process Automation," Energies, MDPI, vol. 13(9), pages 1-14, May.
    6. Sorin ANAGNOSTE, 2018. "The Road to Intelligent Automation in the Energy Sector," Management Dynamics in the Knowledge Economy, College of Management, National University of Political Studies and Public Administration, vol. 6(3), pages 489-502, September.
    7. Peter M. Bican & Alexander Brem, 2020. "Digital Business Model, Digital Transformation, Digital Entrepreneurship: Is There A Sustainable “Digital”?," Sustainability, MDPI, vol. 12(13), pages 1-15, June.
    8. Gusti Ayu Made Suartika & Alexander Cuthbert, 2020. "The Sustainable Imperative—Smart Cities, Technology and Development," Sustainability, MDPI, vol. 12(21), pages 1-15, October.
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    Cited by:

    1. Marcin Janusz & Marcin Kowalczyk, 2022. "How Smart Are V4 Cities? Evidence from the Multidimensional Analysis," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    2. Costa Diogo António da Silva & Mamede Henrique São & Mira da Silva Miguel, 2022. "Robotic Process Automation (RPA) Adoption: A Systematic Literature Review," Engineering Management in Production and Services, Sciendo, vol. 14(2), pages 1-12, June.
    3. Aristotelis Mavidis & Dimitris Folinas, 2022. "From Public E-Procurement 3.0 to E-Procurement 4.0; A Critical Literature Review," Sustainability, MDPI, vol. 14(18), pages 1-23, September.
    4. Meijing Song & Yuan Xiao & Yige Zhou, 2023. "How Does the Smart City Policy Influence Digital Infrastructure? Spatial Evidence from China," Land, MDPI, vol. 12(7), pages 1-14, July.

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