IDEAS home Printed from https://ideas.repec.org/a/ers/journl/vxxviy2023i3p901-915.html
   My bibliography  Save this article

Analysis of the Impact of Implemented IT Systems on the Economic Efficiency of Enterprises in the Construction Industry in the Context of Sustainable Development in Poland

Author

Listed:
  • Dominika Krol-Smetak
  • Ireneusz Miciula
  • Apoloniusz Kurylczyk
  • Malgorzata Chojnacka
  • Karolina Rogowska
  • Monika Rozycka

Abstract

Purpose: The aim of the article is to analyze the impact of the implemented IT systems on the economic efficiency of construction industry enterprises in Poland. Approach/Methodology/Design: In the framework of the presented article, the main research methods are our own surveys conducted on 300 people (n=300) among employees in various positions in construction companies. This research was supplemented with a review of world scientific literature and an in-depth interview among business practitioners among construction companies in Poland. Findings: The obtained results will indicate the factors that determine the increase in the economic efficiency of enterprises and will enable the formulation of recommendations regarding the optimal implementation of IT systems. Practical Implications: The practical implications of the research results contained in the article constitute recommendations for practical actions in the management of construction companies that bring measurable results and increase their economic efficiency. Originality/Value: The original value of the article is the analysis of primary data obtained as part of a survey of construction enterprises in Poland and the development of recommendations regarding practical actions that increase the economic efficiency of enterprises.

Suggested Citation

  • Dominika Krol-Smetak & Ireneusz Miciula & Apoloniusz Kurylczyk & Malgorzata Chojnacka & Karolina Rogowska & Monika Rozycka, 2023. "Analysis of the Impact of Implemented IT Systems on the Economic Efficiency of Enterprises in the Construction Industry in the Context of Sustainable Development in Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 901-915.
    • Handle: RePEc:ers:journl:v:xxvi:y:2023:i:3:p:901-915
    as

    Download full text from publisher

    File URL: https://ersj.eu/journal/3259/download
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Trang Doan Do & Ha An Thi Pham & Eleftherios I. Thalassinos & Hoang Anh Le, 2022. "The Impact of Digital Transformation on Performance: Evidence from Vietnamese Commercial Banks," JRFM, MDPI, vol. 15(1), pages 1-15, January.
    2. Tang, Ming & Liao, Huchang, 2021. "From conventional group decision making to large-scale group decision making: What are the challenges and how to meet them in big data era? A state-of-the-art survey," Omega, Elsevier, vol. 100(C).
    3. Olumide Emmanuel Oluyisola & Swapnil Bhalla & Fabio Sgarbossa & Jan Ola Strandhagen, 2022. "Designing and developing smart production planning and control systems in the industry 4.0 era: a methodology and case study," Journal of Intelligent Manufacturing, Springer, vol. 33(1), pages 311-332, January.
    4. Sharma, Anuj & Rana, Nripendra P. & Nunkoo, Robin, 2021. "Fifty years of information management research: A conceptual structure analysis using structural topic modeling," International Journal of Information Management, Elsevier, vol. 58(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ireneusz Miciula & Anna Bielawa & Dominika Krol-Smetak & Henryk Wojtaszek & Apoloniusz Kurylczyk & Michal Romanczuk & Malgorzata Chojnacka, 2024. "Economic Efficiency as a Factor of Enterprise Development," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 478-487.
    2. Lixiang Zhang & Yan Yan & Yaoguang Hu, 2024. "Deep reinforcement learning for dynamic scheduling of energy-efficient automated guided vehicles," Journal of Intelligent Manufacturing, Springer, vol. 35(8), pages 3875-3888, December.
    3. Das, Kallol & Patel, Jayesh D. & Sharma, Anuj & Shukla, Yupal, 2023. "Creativity in marketing: Examining the intellectual structure using scientometric analysis and topic modeling," Journal of Business Research, Elsevier, vol. 154(C).
    4. Wu, Wenyang & Tang, Shenfeng, 2024. "Bank credit in the digital age: Expansion or excessive expansion?," Finance Research Letters, Elsevier, vol. 70(C).
    5. Tang, Ming & Liao, Huchang, 2021. "Failure mode and effect analysis considering the fairness-oriented consensus of a large group with core-periphery structure," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    6. Kaixin Gong & Weimin Ma & Hui Zhang & Mark Goh, 2023. "Heterogeneous Multi-attribute Large-Scale Group Decision-Making Considering Individual Concerns and Information Credibility," Group Decision and Negotiation, Springer, vol. 32(6), pages 1315-1349, December.
    7. Li Tang & Jennifer Kuzma & Xi Zhang & Xinyu Song & Yin Li & Hongxu Liu & Guangyuan Hu, 2023. "Synthetic biology and governance research in China: a 40-year evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5293-5310, September.
    8. Mohamed M. Mostafa, 2023. "A one-hundred-year structural topic modeling analysis of the knowledge structure of international management research," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3905-3935, August.
    9. Broccardo, Laura & Tenucci, Andrea & Agarwal, Reeti & Alshibani, Safiya Mukhtar, 2024. "Steering digitalization and management control maturity in small and medium enterprises (SMEs)," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
    10. Ayadi, Rym & Chiaramonte, Laura & Cucinelli, Doriana & Migliavacca, Milena, 2025. "Digitalization and banks' efficiency: Evidence from a European analysis," International Review of Financial Analysis, Elsevier, vol. 97(C).
    11. Kayenaat Bahl & Ravi Kiran & Anupam Sharma, 2023. "Scaling Up Banking Performance for the Realisation of Specific Sustainable Development Goals: The Interplay of Digitalisation and Training in the Transformation Journey," Sustainability, MDPI, vol. 15(18), pages 1-22, September.
    12. Marek Ciekanowski & Slawomir Żurawski & Zbigniew Ciekanowski & Yury Pauliuchuk & Jan Boguski, 2023. "The Impact of Digitalization and the COVID-19 Pandemic on Information Security Management in the Enterprise," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 750-763.
    13. Nishtha Gupta & Jolly Puri & Gautam Setia, 2025. "Profit efficiency estimation and prediction of banks with mixed structure: a unified DDF-based network DEA and ML approach," Operational Research, Springer, vol. 25(3), pages 1-39, September.
    14. Wang, Shangrui & Zhang, Yuanmeng & Xiao, Yiming & Liang, Zheng, 2025. "Artificial intelligence policy frameworks in China, the European Union and the United States: An analysis based on structure topic model," Technological Forecasting and Social Change, Elsevier, vol. 212(C).
    15. Lu Gan & Yuanyuan Wang & Yusheng Wang & Benjamin Lev & Wenjing Shen & Wen Jiang, 2021. "Coupling coordination analysis with data-driven technology for disaster–economy–ecology system: an empirical study in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(3), pages 2123-2153, July.
    16. Assefa Belay, 2024. "Determinants of Bank Profitability on the Example of a Commercial Bank in Ethiopia," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(3), pages 121-138.
    17. Yang, Xiaoxi & Zhang, Dansha & Masron, Tajul Ariffin, 2024. "The impact of smart city construction on achieving peak carbon neutrality: Evidence from 31 provinces in China," Land Use Policy, Elsevier, vol. 147(C).
    18. Carlos Cuartas & Jose Aguilar, 2023. "Hybrid algorithm based on reinforcement learning for smart inventory management," Journal of Intelligent Manufacturing, Springer, vol. 34(1), pages 123-149, January.
    19. Sara Bysko & Jolanta Krystek & Andrzej Świerniak, 2024. "Nash equilibrium as a tool for the Car Sequencing Problem 4.0," Journal of Intelligent Manufacturing, Springer, vol. 35(3), pages 1037-1053, March.
    20. Rahul Kumar & Shubhadeep Mukherjee & Nripendra P. Rana, 2024. "Exploring Latent Characteristics of Fake Reviews and Their Intermediary Role in Persuading Buying Decisions," Information Systems Frontiers, Springer, vol. 26(3), pages 1091-1108, June.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D23 - Microeconomics - - Production and Organizations - - - Organizational Behavior; Transaction Costs; Property Rights
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • L21 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Business Objectives of the Firm

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ers:journl:v:xxvi:y:2023:i:3:p:901-915. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Marios Agiomavritis (email available below). General contact details of provider: https://ersj.eu/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.