IDEAS home Printed from https://ideas.repec.org/a/ers/journl/vxxivy2021ispecial2-part2p948-959.html
   My bibliography  Save this article

IT System Functioning in the Polish Police as a System Supporting Management Processes

Author

Listed:
  • Arkadiusz Letkiewicz
  • Krystian Maczka

Abstract

Purpose: The aim of the article is to analyze the information systems used in the Polish police in the context of the possibility of using them in supporting of management processes. Design/Methodology/Approach: The research used the method of functional comparative analysis. The functions of the IT systems used in the Polish police were examined and mapped onto main functions of management information systems indicated in the literature. Findings: The article identifies the main functions of information management systems, and then compares the three main IT systems currently used in the Polish police with the functions they should have based on the literature. The systems used in the Polish police support the management staff only in selected areas. These systems still need the implementation of many functions, in particular those supporting the prediction of future phenomena, forecasting trends, as well as functions supporting the planning of professional development of employees. Practical Implications: The conclusions from the research should serve as a recommendation for the direction of the development of information systems used in the Polish police. Originality/Value: The presented research is unique in terms of analyzing the possibilities of using the systems used in the Polish police for human resource management, increasing work efficiency and effectiveness and for supporting the management staff.

Suggested Citation

  • Arkadiusz Letkiewicz & Krystian Maczka, 2021. "IT System Functioning in the Polish Police as a System Supporting Management Processes," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 948-959.
    • Handle: RePEc:ers:journl:v:xxiv:y:2021:i:special2-part2:p:948-959
    as

    Download full text from publisher

    File URL: https://ersj.eu/journal/2818/download
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jarrahi, Mohammad Hossein, 2018. "Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making," Business Horizons, Elsevier, vol. 61(4), pages 577-586.
    2. Krzysztof Justynski & Bernard Wisniewski & Andrzej Czuprynski & Robert Gwardynski, 2021. "Opportunities for Improvement in Organisation of Police Operations," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 308-318.
    3. Stavrinos, Vasilios G. & Zombanakis, George A., 1998. "The Vicious Cycle of the Foreign Military Debt," MPRA Paper 17758, University Library of Munich, Germany.
    4. Akram Fathian & Hamid Moghaddasi & Alireza Kazemi & Reza Rabiei & Hassan Emami, 2019. "Features of Nursing Management Information Systems- A Systematic Review," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 21(2), pages 15773-15781, September.
    5. repec:ers:journl:v:xxiv:y:2021:i:special4:p:308-318 is not listed on IDEAS
    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. repec:ers:journl:v:xxiv:y:2021:i:special4:p:948-959 is not listed on IDEAS
    2. Robertson, Jeandri & Ferreira, Caitlin & Botha, Elsamari & Oosthuizen, Kim, 2024. "Game changers: A generative AI prompt protocol to enhance human-AI knowledge co-construction," Business Horizons, Elsevier, vol. 67(5), pages 499-510.
    3. Siliang Tong & Nan Jia & Xueming Luo & Zheng Fang, 2021. "The Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance," Strategic Management Journal, Wiley Blackwell, vol. 42(9), pages 1600-1631, September.
    4. Borba, Rafael Lucas & de Paula Ferreira, Iuri Emmanuel & Bertucci Ramos, Paulo Henrique, 2024. "Addressing discriminatory bias in artificial intelligence systems operated by companies: An analysis of end-user perspectives," Technovation, Elsevier, vol. 138(C).
    5. Ivanov, Stanislav & Webster, Craig, 2024. "Automated decision-making: Hoteliers’ perceptions," Technology in Society, Elsevier, vol. 76(C).
    6. Sudhanshu Joshi & Manu Sharma & Rashmi Prava Das & Joanna Rosak-Szyrocka & Justyna Żywiołek & Kamalakanta Muduli & Mukesh Prasad, 2022. "Modeling Conceptual Framework for Implementing Barriers of AI in Public Healthcare for Improving Operational Excellence: Experiences from Developing Countries," Sustainability, MDPI, vol. 14(18), pages 1-23, September.
    7. Andreou, Andreas S. & Zombanakis, George A., 2001. "A Neural Network Measurement of Relative Military Security: The Case of Greece and Cyprus," MPRA Paper 14539, University Library of Munich, Germany, revised 2001.
    8. Cheng-Feng Cheng & Chien-Che Huang & Ming-Chang Lin & Ta-Cheng Chen, 2023. "Exploring Effectiveness of Relationship Marketing on Artificial Intelligence Adopting Intention," SAGE Open, , vol. 13(4), pages 21582440231, December.
    9. Hind Aboussikine & Sonia Bendimerad & Thierry Sauvage & Mohamed Haouari, 2023. "Comment l’Intelligence Artificielle dompte la traçabilité des processus Supply Chain ? Application à NOZ France," Post-Print hal-04536092, HAL.
    10. Fazal Ur Rehman & Basheer M. Al-Ghazali & Adel Ghaleb Haddad & Ehab Abdullatif Qahwash & M. Sadiq Sohail, 2023. "Exploring the Reverse Relationship between Circular Economy Innovation and Digital Sustainability—The Dual Mediation of Government Incentives," Sustainability, MDPI, vol. 15(6), pages 1-21, March.
    11. ANDREOU, A. S. & PARSOPOULOS, K. E. & VRACHATIS, M. N. & Zombanakis, George A., 2002. "Searching for the Optimal Defence Expenditure: An Answer in the Context of the Greek – Turkish Arms Race," MPRA Paper 51580, University Library of Munich, Germany, revised 15 Aug 2002.
    12. Christopher Kurzhals & Lorenz Graf‐Vlachy & Andreas König, 2020. "Strategic leadership and technological innovation: A comprehensive review and research agenda," Corporate Governance: An International Review, Wiley Blackwell, vol. 28(6), pages 437-464, November.
    13. Gupta, Shivam & Modgil, Sachin & Choi, Tsan-Ming & Kumar, Ajay & Antony, Jiju, 2023. "Influences of artificial intelligence and blockchain technology on financial resilience of supply chains," International Journal of Production Economics, Elsevier, vol. 261(C).
    14. Youmi Suk & Kyung T. Han, 2024. "A Psychometric Framework for Evaluating Fairness in Algorithmic Decision Making: Differential Algorithmic Functioning," Journal of Educational and Behavioral Statistics, , vol. 49(2), pages 151-172, April.
    15. Ksenia V. Ekimova, 2023. "Development of the potential of the digital economy of Russian regions through artificial intelligence humanisation," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-9, December.
    16. Anna Trunk & Hendrik Birkel & Evi Hartmann, 2020. "On the current state of combining human and artificial intelligence for strategic organizational decision making," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 875-919, November.
    17. Chattaraman, Veena & Kwon, Wi-Suk & Ross, Kassandra & Sung, Jihyun & Alikhademi, Kiana & Richardson, Brianna & Gilbert, Juan E., 2024. "‘Smart’ Choice? Evaluating AI-Based mobile decision bots for in-store decision-making," Journal of Business Research, Elsevier, vol. 183(C).
    18. Abdelhalim, Esraa & Anazodo, Kemi Salawu & Gali, Nazha & Robson, Karen, 2024. "A framework of diversity, equity, and inclusion safeguards for chatbots," Business Horizons, Elsevier, vol. 67(5), pages 487-498.
    19. FU, Yunyun & SHEN, Yongchang & SONG, Malin & WANG, Weiyu, 2024. "Does artificial intelligence reduce corporate energy consumption? New evidence from China," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 548-561.
    20. Hajkowicz, Stefan & Naughtin, Claire & Sanderson, Conrad & Schleiger, Emma & Karimi, Sarvnaz & Bratanova, Alexandra & Bednarz, Tomasz, 2022. "Artificial intelligence for science – adoption trends and future development pathways," MPRA Paper 115464, University Library of Munich, Germany.
    21. Plantec, Quentin & Deval, Marie-Alix & Hooge, Sophie & Weil, Benoit, 2023. "Big data as an exploration trigger or problem-solving patch: Design and integration of AI-embedded systems in the automotive industry," Technovation, Elsevier, vol. 124(C).

    More about this item

    Keywords

    Management information systems; management IT systems; police information systems.;
    All these keywords.

    JEL classification:

    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

    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:xxiv:y:2021:i:special2-part2:p:948-959. 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.