The Methods of Information Management in the Space of the Current Scientific Discourse: Recommendations for Public Sector Organisations
DOI:
https://doi.org/10.15678/PG.2024.67.1.01Keywords:
information management, management methods, information systemAbstract
Objectives: The information age constantly poses new challenges for management specialists. Such a circumstance encourages to creative considerations on how to overcome these challenges. The dynamics of changes taking place in the organisational environment and the response to them, which is formulated by the scientific community, is then an interesting subject of research. The author adopts the thesis that it is possible to identify certain common elements of the ongoing discourse, which determine its current character, adequate to the challenges of the present day. The presented analysis includes a study of examples of invoking information management methods in publications from recent years.
Research Design & Methods: The qualitative text analysis – especially one based on the method of binary oppositions – was used in the considerations. The use of this method makes it possible to indicate examples of common denominators connecting the publications that were the subject of the research.
Findings: As the result of the conducted research, the dimension of directing the discourse to the context of using the latest IT technologies to improve internal processes and, on the other hand, to increase the scope of interorganisational integration was revealed. Another dimension of the discourse turned out to be the reference to information management methods in the context of using IT to change the role and importance of the human factor, but also to autonomise and automate the production system.
Implications / Recommendations: Based on the conducted analyses, recommendations were formulated that will make it easier for public sector organisations to implement their missions within the context of identified dimensions. However, it is necessary to implement changes consistent with the detected trends shaping the interorganisational information exchange network.
Contribution / Value Added: It was found out that in the face of the changing level of complexity of the environment and the dynamically growing level of inter-organisational integration, the public sector must ensure its ability to engage in ongoing processes. This requires the introduction of appropriate system and organisational solutions as well as the development of analytical competences, taking into account the potential of artificial intelligence and other advanced information technologies.
Article classification: research article
JEL classification: D82, M10, M15
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Adel, A. (2022). Future of industry 5.0 in society: Human-centric solutions, challenges and prospective research areas. Journal of Cloud Computing, 11(1), 1–15. https://doi.org/10.1186/s13677-022-00314-5
Baran, M. (2010). Informacyjny potencjał instytucji publicznych w kontekście programów wspierających rozwój podmiotów gospodarczych. In T. Wawak (Ed.), Komunikacja i jakość w zarządzaniu, Tom II. (pp. 161–168). Wydawnictwo Uniwersytetu Jagiellońskiego.
Barczak, B. (2015). Analiza relacji w sieciach biznesowych. In A. Kozina (Ed.), Wybrane problemy zarządzania relacjami w przedsiębiorstwie (pp. 63–81). Mfiles.pl.
Barczak, B. (2018). Zastosowanie podejścia sieciowego w zarządzaniu portfelem projektów. Zeszyty Naukowe UEK, 5(977), 25–42. https://doi.org/10.15678/ZNUEK.2018.0977.0502
Barczak, B., & Bińczycki, B. (2018). Koordynacja portfela projektów w strukturach sieciowych. In P. Cabała (Ed.), Zarządzanie portfelem projektów w organizacji: Koncepcje i kierunki badań (pp. 55–73). Mfiles.pl.
Bartsch, S. (2015). Ein Referenzmodell zum Wertbeitrag der IT. Springer-Verlag. https://doi.org/10.1007/978-3-658-09300-6
Becker, J., Knackstedt, R., & Pöppelbuß, J. (2009). Developing Maturity Models for IT Management: A Procedure Model and its Application. Business & Information Systems Engineering, 1(3), 213–222. https://doi.org/10.1007/s12599-009-0044-5
Brezhneva, V. V. (2018). On the Information Support of Scientific Research, Development, and Production. Scientific and Technical Information Processing, 45(4), 241–247. DOI: 10.3103/S0147688218040068
Bukowski, L. (2016). System of systems dependability: Theoretical models and applications examples. Reliability Engineering & System Safety, 151, 76–92. https://doi.org/10.1016/j.ress.2015.10.014
Cachada, A., Pires, F., Barbosa, J., Leitão, & P., Calà, A. (2018). Petri nets methodology for the design and control of migration processes towards industry 4.0. In 2018 IEEE Industrial Cyber-Physical Systems (ICPS), IEEE. 540–545. https://doi.org/10.1109/ICPHYS.2018.8390763
Chen, B., Hu, J., & Chen, W. (2019). DRE-based semi-automation of the axiomatic design transformation: from the functional requirement to the design parameter. Journal of Engineering Design, 30(7), 255–287. https://doi.org/10.1080/09544828.2019.1627296
Chen, Y., & Li, Y. (2018). Computational Intelligence Assisted Design In Industrial Revolution 4.0. Routledge. https://doi.org/10.1201/9781315153179
Colli, M. (2023). How to Support the Transformation Towards Smart Production by Applying the Digital Factory Mapping: A Case Study. In O. Madsen, U. Berger, C. Møller, A. Heidemann Lassen, B. Vejrum Waehrens, & C. Schou (Eds.,) The Future of Smart Production for SMEs (pp. 89–100). Springer. https://doi.org/10.1007/978-3-031-15428-7_8
Creswell, J. W., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. SAGE Publications. https://doi.org/10.1002/nha3.20258
Czekaj, J. (2010). Koncepcja lean administration. Acta Universitatis Lodziensis. Folia Oeconomica, 234, 13–21.
Czekaj, J. (2012). Koncepcja badania potrzeb informacyjnych kierownictwa. In A. Stabryła & S. Wawak (Eds.), Metody badania i modele rozwoju organizacji (pp. 57–72). Mfiles.pl.
Czekaj, J., & Ziębicki, B. (2008). Metodyczne aspekty audytu systemu komunikacji w organizacji. Zeszyty Naukowe UE w Krakowie, 775, 5–22.
Ćwiklicki, M. (2011). Dziedzictwo analizy wartości. In R. Borowiecki & L. Kiełtyka (Eds.), Przełomy w zarządzaniu. Zarządzanie procesowe, Tom 3 (pp. 329–348).
de Kinderen, S., Kaczmarek-Heß, M., Ma, Q., & Razo-Zapata, I. S. (2021). A Modeling Method in Support of Strategic Analysis in the Realm of Enterprise Modeling: On the Example of Blockchain-Based Initiatives for the Electricity Sector. Enterprise Modelling and Information Systems Architectures (EMISAJ), 16(2), 1–36. https://doi.org/10.18417/emisa.16.2
de Kinderen, S., Kaczmarek-Heß, M., Ma, Q., & Razo-Zapata, I. S. (2022). Model-based valuation of smart grid initiatives: Foundations, open issues, requirements, and a research outlook. Data & Knowledge Engineering, 141, 102052. https://doi.org/10.1016/j.datak.2022.102052
Dotsenko, S. I., & Kamenskyi, S. S. (2019). Architecture Development of Information System of an Enterprise. Systems and Technologies, 1(57), 36–46. https://doi.org/10.32836/2521-6643-2019-1-57-3
Dumas, M., La Rosa, M., Mendling, J., & Reijers, H. A. (2021). Quantitative Prozessanalyse. In M. Dumas, M. La Rosa, J. Mendling, & H. A. Reijers (Eds.), Grundlagen des Geschäftsprozessmanagements (pp. 299–346). Springer Vieweg. https://doi.org/10.1007/978-3-662-58736-2_7
Fernandes, K. J. (2012). A framework for service systems analysis: Theory and practice. Production Planning & Control, 23(7), 480–497. https://doi.org/10.1080/09537287.2011.640035
Geodecki, T., & Zawicki, M. (2021). The Business Services Sector in Central and Eastern Europe: Territorial Embeddedness, Human Capital, and Growing Complexity. Journal of Public Governance, 56(2), 5–14. https://doi.org/10.15678/ZP.2021.56.2.01
Gibbs, G. R. (2008). Analysing Qualitative Data. SAGE Publications.
Gola, M. (2016). Konotacje pojęcia ekonomia informacji. Studia i Prace Kolegium Zarządzania i Finansów, 150, 9–30.
Hong, A., Xiao, W., & Ge, J. L. (2021). Big Data Analysis System Based on Cloudera Distribution Hadoop. 7th IEEE Intelligence Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Inelligence Conference on High Performance and Smart Computing, (HPSC) and IEEE Intelligence Conference on Intelligent Data and Security (IDS) (pp. 169–173). https://doi.org/10.1109/BigDataSecurityHPSCIDS52275.2021.00040
Huom, Y., Gao, X., & Zhou, T. (2022). Enterprise Information System Structure Partition Algorithm Based on Link Feature. 2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD) (pp. 202–207). https://doi.org/10.1109/CSCWD54268.2022.9776099
Idoko, J., & Akinsunmi, S. (2021). Business Analytic Systems and Organizational Decisions Making. International Journal of Research in Engineering and Management, 5(1), 18–23.
Jaki, A. (2011). Paradygmat efektywności w zarządzaniu. Przegląd organizacji, 4, 3–7. https://doi.org/10.33141/po.2011.04.01
Jiatong, Y., Wang, J., & Moon, T. (2022). Influence of Digital Transformation Capability on Operational Performance. Sustainability, 14(13), 7909. https://doi.org/10.3390/su14137909
Kavvadia, H. (2021). Information Systems Development Methodologies: A Review Through a Teleology Approach. HighTech and Innovation Journal, 2(4), 373–383. https://doi.org/10.28991/HIJ-2021-02-04-09
Khan, A. A., & Abonyi, J. (2022). Information sharing in supply chains-Interoperability in an era of circular economy. Cleaner Logistics and Supply Chain, 5, 100074. https://doi.org/10.1016/j.clscn.2022.100074
Kisielnicki, J., & Misiak, A. M. (2021). Management Support Systems Type Business Intelligence (BI) and Factors Determining Their Implementation. In M. Khosrow-Pour (Ed.), Encyclopedia of Organizational Knowledge, Administration, and Technology (pp. 1059–1074). IGI Global. https://doi.org/10.4018/978-1-7998-3473-1.ch074
Kotusev, S. (2021). A Comparison of the Top Four Enterprise Architecture Frameworks. British Computer Society (BCS).
Krippendorff, K. (2013). Content analysis: An introduction to its methodology. SAGE Publications. https://doi.org/10.4135/9781071878781
Kuckartz, U. (2014). Qualitative Text Analysis: A Guide to Methods, Practice and Using Software. SAGE Publications. https://doi.org/10.4135/9781446288719
Lundeberg, M. (2017). Early Theorising of Information Systems and their Larger Contexts. Personal Experiences and Reflections. Scandinavian Journal of Information Systems, 29(1), 5.
Łęgowik-Małolepsza, M. (2016). Information Management Model in the Manufacturing Company. Zeszyty Naukowe Politechniki Częstochowskiej. Zarządzanie, 21, 170–178. https://doi.org/10.17512/znpcz.2016.1.17
Łęgowik-Małolepsza, M. (2019). Agile Time Management as an Innovation in an Enterprise. Valahian Journal of Economic Studies, 10(1), 99–106. https://doi.org/10.2478/vjes-2019-0010
Manu, A. (2015). Value Creation and the Internet of Things: How the Behavior Economy will Shape the 4th Industrial Revolution. Routledge. https://doi.org/10.4324/9781315548494
McCall, Jr., G. C. (2022). Exploring a Cyber Threat Intelligence (CTI) Approach in the Thwarting of Adversary Attacks: An Exploratory Case Study (doctoral dissertation, Northcentral University).
Molenaar, C. (2022). Demand-Driven Business Strategy: Digital Transformation and Business Model Innovation. Routledge. https://doi.org/10.4324/9781003226161.
Monostori, L. (2014). Cyber-physical Production Systems: Roots, Expectations and R&D Challenges, Procedia CIRP, 17, 9–13. DOI: 10.1515/auto-2015-0066
Nascimento, N. M., Moro Cabero, M. M., & Valentim, M. L. (2021). Information and Document Flows in Organizational Environments. In E. Silva & M. Valentim (Eds.), Role of Information Science in a Complex Society (pp. 202–223). IGI Global. https://doi.org/10.4018/978-1-7998-6512-4.ch012
Ngowi, L., & Mvungi, N. H. (2018). Socio-technical systems: Transforming theory into practice. International Journal of Industrial and Systems Engineering. 12(2), 310–316. https://doi.org/10.1999/1307-6892/10008768
Nguyen, T. D., Nguyen, T. M., & Cao, T. H. (2017). A Conceptual Framework for IS Project Success. In P. Cong Vinh, L. Tuan Anh, N. Loan, & W. Vongdoiwang Siricharoen (Eds.), Context-Aware Systems and Applications. ICCASA 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 193 (pp. 142–154). Springer. https://doi.org/10.1007/978-3-319-56357-2_15
Nourani, C. F. (2021). Artificial Intelligence and Computing Logic: Cognitive Technology for AI Business Analytics. Apple Academic Press. https://doi.org/10.1201/9781003180487
Pai, R. Y., Shetty, A., Shetty, A. D., Bhandary, R., Shetty, J., Nayak, S., Dinesh, T. K., & D’souza, K. J. (2022). Integrating artificial intelligence for knowledge management systems–synergy among people and technology: a systematic review of the evidence. Economic Research-Ekonomska Istraživanja, 35(1), 1–23. https://doi.org/10.1080/1331677X.2022.2058976
Pernici, B., & Rolland, C. (Eds.). (2012). Automatic tools for designing office information systems: The TODOS approach, vol. 1. Springer Science & Business Media. https://doi.org/10.1007/978-3-642-84323-5
Pietsch, T., Martiny, L., & Klotz, M. (2004). Strategisches Informationsmanagement. Bedeutung, Konzeption, Umsetzung. E. Schmidt Verlag GmbH.
Potocki, A. (2013). Zapobieganie zmęczeniu psychoumysłowemu w pracach sfery zarządzania przedsiębiorstwem – aspekty metodyczne. Acta Universitatis Lodziensis, Folia Oeconomica, 282, 223–233.
Rascão, J. (2021). From Strategic Management to Information Strategy Management It will be possible to increase the available time Strategic Decision Making? Journal of Economics, Finance and Management Studies, 4, 289–359. https://doi.org/10.47191/jefms/v4-i5-01
Rtal, M., & Hanoune, M. (2021). Strategic Information Systems and Artificial Intelligence in Business. International Journal of Information Technology and Applied Sciences, 3(2), 78–83. https://doi.org/10.52502/ijitas.v3i2.28
Schindlbeck, B. (2015). Verbreitung und Durchdringung von Business-to-Business Technologien: Interaktive Formulare als alternative Technologie zur Unterstützung des Informationsaustauschs zwischen Unternehmen. Logos Verlag Berlin GmbH.
Schmidt, K. (2011). Cooperative work and coordinative practices: Contributions to the conceptual foundations of Computer-Supported Cooperative Work (CSCW). Springer Science & Business Media. https://doi.org/10.1007/978-1-84800-068-1.
Short, W. K. (2019). Object oriented techniques in information engineering. In R. Tagg & J. Mabon (Eds.), Object Management (pp. 57–66). Routledge. https://doi.org/10.4324/9780429441110-12
Strømmen-Bakhtiar, A., & Vinogradov, E. (2020). The Impact of the Sharing Economy on Business and Society. Digital Transformation and the Rise of Platform Businesses. Routledge. https://doi.org/10.4324/9780429293207
Subiyakto, A., Ahlan, A. R., Kartiwi, M., & Sukmana, H. T. (2015). Influences of the Input Factors towards the Success of an Information System Project. Telkomnika, 13(2), 686–693. https://doi.org/10.12928/telkomnika.v13i2.1323
Sungau, J. (2019). Business Process Re-Engineering. In S. Erben (Ed.), Modeling Methods for Business Information Systems Analysis and Design (pp. 15–33). IGI Global. https://doi.org/10.4018/978-1-5225-5522-3.ch00
Syed-Mohamad, S. M., & Md Akhir, N. S. (2019). SoReady: An Extension of the Test and Defect Coverage-Based Analytics Model for Pull-Based Software Development. 26th Asia-Pacific Software Engineering Conference (APSEC), 9–14. https://doi.org/10.1109/APSEC48747.2019.00011
Tamai, T. (2019). Key Software Engineering Paradigms and Modeling Methods. In S. Cha, R. N. Taylor, & K. Kang (Eds.), Handbook of Software Engineering (pp. 349–374). Springer. https://doi.org/10.1007/978-3-030-00262-6_9
Tariq, A., & Khan, S. A. (2022). Industry 4.0 Based Business Process Re-Engineering Framework for Manufacturing Industry Setup Incorporating Evolutionary Multi-Objective Optimization. IEICE Transactions on Information and Systems, 105(7), 1283–1295. https://doi.org/10.1587/transinf.2022EDP7021
Trstenjak, M., & Cosic, P. (2017). Process planning in Industry 4.0 environment. Procedia Manufacturing, 11, 1744–1750. https://doi.org/10.1016/j.promfg.2017.07.303
Turlakova, S. S. (2019). Information and communication technologies for the development of “smart” industries. Economy of Industry, 1(85), 101–122. https://doi.org/10.15407/econindustry2019.01.101
Urbanowska-Sojkin, E. (2009). Praktyka wspomagania informacyjnego procesu podejmowania decyzji strategicznych. Zeszyty Naukowe Uniwersytetu Ekonomicznego w Poznaniu, 129, 613–622.
van der Meer, F. M., & Dijkstra, G. (2022). Incentives and Obstacles to the Public Sector and Civil Service Reform: A Conceptual Analysis. Journal of Public Governance, 58(4), 5–16. https://doi.org/10.15678/ZP.2021.58.4.01
Vasconcelos, A., & Sousa, P. (2022). Information Systems Architecture Design. In A. Vasconcelos & P. Sousa (Eds.), Enterprise Architecture and Cartography: From Practice to Theory; From Representation to Design. The Enterprise Engineering Series (pp. 227–263). Springer. https://doi.org/10.1007/978-3-030-96264-7_10
Werner, H. (2020). Instrumente des Supply Chain Managements. In H. Werner (Ed.), Supply Chain Management (pp. 293–392). Springer Gabler. https://doi.org/10.1007/978-3-658-32429-2_4
Winkler, R. (2018). Communication audit and knowledge management audit as kinds of internal audits in the management of intangible assets of an organization. Nauki o Zarządzaniu, 23(2), 41–47. https://doi.org/10.15611/ms.2018.2.05
Włodarski, A. (2011). Diagnozowanie niesprawności informacji w aspekcie jej przydatności w procesie decyzyjnym. Zeszyty Naukowe SGSP, 41–54.
Yablochnikov, S., Yablochnikova, I., Minaev, V., Kuptsov, M., Vidov, S., & Shved, V. (2018). System-Dynamic Modeling of Information Influences and Co-Operations. ICTERI Workshops, 222–232.
Yadav, R., Singh, V., & Prabhu, J. (2021). A Novel Model Object Oriented Approach to the Software Design. In J. Kacprzyk (Ed.), Intelligent Data Engineering and Analytics (pp. 369–381). Springer. https://doi.org/10.1007/978-981-15-5679-1_34
Zakharova, A. A., Zakharchenkov, K. V., & Vaynilovich, Y. V. (2020). Integrated system approach to improving the efficiency of IT projects management based on evolutionary modeling. Conference Proceedings of The 8th International Scientific Conference on Computing, 9–13. https://doi.org/10.30987/conferencearticle_5fce27732298c9.93530561
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