IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v11y2019i3p62-d211071.html
   My bibliography  Save this article

Modeling of Information Operations Effects: Technological Systems Example

Author

Listed:
  • Alexander Geyda

    (Laboratory of Applied Informatics and Problems of Society Informatization, St.-Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, St.Petersburg 199178, Russia)

  • Igor Lysenko

    (Laboratory of Applied Informatics and Problems of Society Informatization, St.-Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, St.Petersburg 199178, Russia)

Abstract

The article outlines conceptual and corresponding formal models of system functioning. Models provide means for estimation of information operation effects and the operational properties of systems and their functioning. Such systems are changed due to information operations. Examples of operational properties are efficiency, the effectiveness of system functioning, system capabilities and system potential. Operational properties are estimated based on functioning effects. Such effects of information operations are manifested through a system functioning under the conditions of a changing environment. An estimation of effects and operational properties is fulfilled analytically. It is made through plotting the dependences of the predicted values of effects and operational properties of information operations and corresponding IT usage against the variables and options of problems solved. To develop this type of model, the use of information operations during system functioning is analyzed through an example of a technological system. General concepts and principles of the modeling of information operations during the operation of such systems are defined. An exemplary modeling of the effects of technological information, and the related technological non-information operations of technological systems operation is provided. Based on concept models of information operations of technological systems, functioning set-theoretical models followed by functional models are introduced. An example of operational properties indicators estimation is considered. It is based on Architecture of Integrated Information Systems (ARIS) diagramming tools’ usage. Use cases of such indicators include choosing optimal information operations characteristics.

Suggested Citation

  • Alexander Geyda & Igor Lysenko, 2019. "Modeling of Information Operations Effects: Technological Systems Example," Future Internet, MDPI, vol. 11(3), pages 1-17, March.
  • Handle: RePEc:gam:jftint:v:11:y:2019:i:3:p:62-:d:211071
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/11/3/62/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1999-5903/11/3/62/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nandish V. Patel, 2006. "Organization and Systems," Palgrave Macmillan Books, in: Organization and Systems Design, chapter 2, pages 38-64, Palgrave Macmillan.
    2. Nandish V. Patel, 2006. "Theory of Deferred Action," Palgrave Macmillan Books, in: Organization and Systems Design, chapter 4, pages 83-107, Palgrave Macmillan.
    3. Fiorenzo Franceschini & Maurizio Galetto & Domenico Maisano, 2019. "Designing Performance Measurement Systems," Management for Professionals, Springer, number 978-3-030-01192-5, December.
    4. Mikalef, Patrick & Pateli, Adamantia, 2017. "Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA," Journal of Business Research, Elsevier, vol. 70(C), pages 1-16.
    5. Nandish V. Patel, 2006. "Organization and Systems Design," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-62541-9, September.
    6. David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
    7. Fiorenzo Franceschini & Maurizio Galetto & Domenico Maisano, 2007. "Management by Measurement," Springer Books, Springer, number 978-3-540-73212-9, December.
    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. OLAJIDE Olubayo Thomas & LAWAL Oloyede Raheem, 2020. "Triangulation Method In Management Sciences Research," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, vol. 1(48), pages 141-154, August.
    2. FeCheng Ma & Farhan Khan & Kashif Ullah Khan & Si XiangYun, 2021. "Investigating the Impact of Information Technology, Absorptive Capacity, and Dynamic Capabilities on Firm Performance: An Empirical Study," SAGE Open, , vol. 11(4), pages 21582440211, November.
    3. Godart, Frédéric & Pistilli, Luca, 2024. "The multifaceted concept of disruption: A typology," Journal of Business Research, Elsevier, vol. 170(C).
    4. Muhammad Irfan & Mingzheng Wang & Naeem Akhtar, 2019. "Impact of IT capabilities on supply chain capabilities and organizational agility: a dynamic capability view," Operations Management Research, Springer, vol. 12(3), pages 113-128, December.
    5. Akhtar, Pervaiz & Khan, Zaheer & Tarba, Shlomo & Jayawickrama, Uchitha, 2018. "The Internet of Things, dynamic data and information processing capabilities, and operational agility," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 307-316.
    6. Fuping Bai & Donghui Liu & Kaiyun Dong & Mengting Shang & Aiguo Yan, 2023. "Research on How Executive Connections Affect Enterprise Digital Transformation: Empirical Evidence from China," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
    7. Sheshadri Chatterjee & Ranjan Chaudhuri & Antonino Galati & Demetris Vrontis, 2021. "Adoption of Ubiquitous CRM for Operational Sustainability of the Firms: Moderating Role of Technology Turbulence," Sustainability, MDPI, vol. 13(18), pages 1-18, September.
    8. Li, Shenxue & Easterby-Smith, Mark & Hong, Jacky F.L., 2019. "Towards an understanding of the nature of dynamic capabilities in high-velocity markets of China," Journal of Business Research, Elsevier, vol. 97(C), pages 212-226.
    9. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Kumar, Ajay & Aránega, Alba Yela & Biswas, Baidyanath, 2023. "Development of an integrative model for electronic vendor relationship management for improving technological innovation, social change and sustainability performance," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    10. Patrick Mikalef & Ilias O. Pappas & John Krogstie & Michail Giannakos, 2018. "Big data analytics capabilities: a systematic literature review and research agenda," Information Systems and e-Business Management, Springer, vol. 16(3), pages 547-578, August.
    11. Chen, Yantai & Luo, Haibei & Chen, Jin & Guo, Yanlin, 2022. "Building data-driven dynamic capabilities to arrest knowledge hiding: A knowledge management perspective," Journal of Business Research, Elsevier, vol. 139(C), pages 1138-1154.
    12. Rialti, Riccardo & Zollo, Lamberto & Ferraris, Alberto & Alon, Ilan, 2019. "Big data analytics capabilities and performance: Evidence from a moderated multi-mediation model," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
    13. Baoshan Ge & Liyi Zhao, 2022. "The impact of the integration of opportunity and resources of new ventures on entrepreneurial performance: The moderating role of BDAC‐AI," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 440-461, May.
    14. F. Franceschini & D. Maisano, 2020. "Adapting Thurstone’s Law of Comparative Judgment to fuse preference orderings in manufacturing applications," Journal of Intelligent Manufacturing, Springer, vol. 31(2), pages 387-402, February.
    15. Jiao, Jian-ling & Zhang, Xiao-lan & Tang, Yun-shu, 2020. "What factors determine the survival of green innovative enterprises in China? -- A method based on fsQCA," Technology in Society, Elsevier, vol. 62(C).
    16. Chowdhury, Soumyadeb & Budhwar, Pawan & Dey, Prasanta Kumar & Joel-Edgar, Sian & Abadie, Amelie, 2022. "AI-employee collaboration and business performance: Integrating knowledge-based view, socio-technical systems and organisational socialisation framework," Journal of Business Research, Elsevier, vol. 144(C), pages 31-49.
    17. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Bryde, David J. & Giannakis, Mihalis & Foropon, Cyril & Roubaud, David & Hazen, Benjamin T., 2020. "Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations," International Journal of Production Economics, Elsevier, vol. 226(C).
    18. Aboobucker Ilmudeen, 2022. "Leveraging IT-enabled dynamic capabilities to shape business process agility and firm innovative capability: moderating role of turbulent environment," Review of Managerial Science, Springer, vol. 16(8), pages 2341-2379, November.
    19. Zhang, Yixiang & Yang, Jialei & Liu, Meiling, 2022. "Enterprises’ energy-saving capability: Empirical study from a dynamic capability perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    20. Sheng, Margaret L. & Saide, Saide, 2021. "Supply chain survivability in crisis times through a viable system perspective: Big data, knowledge ambidexterity, and the mediating role of virtual enterprise," Journal of Business Research, Elsevier, vol. 137(C), pages 567-578.

    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:gam:jftint:v:11:y:2019:i:3:p:62-:d:211071. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.