IDEAS home Printed from https://ideas.repec.org/a/ers/journl/vxxivy2021ispecial1p1179-1195.html
   My bibliography  Save this article

Analysis of Managers' Cognitive Models (ORAC Classification) and its Impact on the Effectiveness of Implementation of Management Decision Support Systems: The Case of the Healthcare Sector

Author

Listed:
  • Joanna Holub-Iwan
  • Teresa Kupczyk

Abstract

Purpose: The aim of the article is to show the importance of reasoning (cognitive models) and experience of managers as a key success factor in implementation of management information systems (MIS). An important goal of the article is also to identify information needed and the importance of information and management decision support systems in healthcare which is one of the important sectors of the economy. Design/Methodology/Approach: The article is based on secondary and primary research. The literature in the area of decision support systems in management and factors that influence the success of implementing these systems were analysed. Quantitative and qualitative research was carried out on the information systems of health care facilities and information needs of decision makers. The conclusions of the research were based on the following research, in-depth group interviews (FGI), individual in-depth interviews (IDI) with directors of medical facilities (27), interviews with facility employees (PAPI), interviews with patients (PAPI), Delphi study using the CAWI technique. Findings: There is a great need to implement decision support systems due to the growing amount of information available to managers and the need to process it quickly. Practical Implications: The article presents a unique approach showing how the cognitive systems of managers and their way of reasoning influence the type and specifics of management decision support systems. Originality/value: The article presents a unique approach showing how the cognitive systems of managers and their way of reasoning influence the type and specificity of management decision support systems.

Suggested Citation

  • Joanna Holub-Iwan & Teresa Kupczyk, 2021. "Analysis of Managers' Cognitive Models (ORAC Classification) and its Impact on the Effectiveness of Implementation of Management Decision Support Systems: The Case of the Healthcare Sector," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 1179-1195.
    • Handle: RePEc:ers:journl:v:xxiv:y:2021:i:special1:p:1179-1195
    as

    Download full text from publisher

    File URL: https://ersj.eu/journal/2094/download
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Teresa Kupczyk, 2021. "Self-Assessment of Digital Competenciees among Employees and Non-Working People of Generation Z in the Economy 4.0," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 677-688.
    2. Berend Wierenga & Gerrit H. Van Bruggen & Richard Staelin, 1999. "The Success of Marketing Management Support Systems," Marketing Science, INFORMS, vol. 18(3), pages 196-207.
    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. Dennis Gensch, 2001. "A Marketing-Decision-Support Model for Evaluating and Selecting Concepts for New Products," Interfaces, INFORMS, vol. 31(3_supplem), pages 166-183, June.
    2. R Fildes & K Nikolopoulos & S F Crone & A A Syntetos, 2008. "Forecasting and operational research: a review," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(9), pages 1150-1172, September.
    3. Suresh Divakar & Brian T. Ratchford & Venkatesh Shankar, 2005. "Practice Prize Article—: A Multichannel, Multiregion Sales Forecasting Model and Decision Support System for Consumer Packaged Goods," Marketing Science, INFORMS, vol. 24(3), pages 334-350, July.
    4. van Bruggen, G.H. & Wierenga, B., 2005. "When are CRM Systems Successful? The Perspective of the User and of the Organization," ERIM Report Series Research in Management ERS-2005-048-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    5. Lilien, Gary L. & Rangaswamy, Arvind & van Bruggen, Gerrit H. & Wierenga, Berend, 2002. "Bridging the marketing theory-practice gap with marketing engineering," Journal of Business Research, Elsevier, vol. 55(2), pages 111-121, February.
    6. Halaj, Daniel & Brodrechtova, Yvonne, 2018. "Marketing decision making in the forest biomass market: The case of Austria, Finland and Slovakia," Forest Policy and Economics, Elsevier, vol. 97(C), pages 201-209.
    7. John D. C. Little, 2004. "Comments on ÜModels and Managers: The Concept of a Decision CalculusÝ," Management Science, INFORMS, vol. 50(12_supple), pages 1854-1860, December.
    8. Teresa Kupczyk & Marta Kusterka-Jefmanska & Elwira Gross-Golacka, 2021. "COVID-19 Pandemic as an Agent of Change in the Use of Job Recruitment Information Sources by the Generation Born Since 2000," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 785-799.
    9. Jehoshua Eliashberg & Sanjeev Swami & Charles B. Weinberg & Berend Wierenga, 2001. "Implementing and Evaluating SilverScreener: A Marketing Management Support System for Movie Exhibitors," Interfaces, INFORMS, vol. 31(3_supplem), pages 108-127, June.
    10. Lang, Mark & Bharadwaj, Neeraj & Di Benedetto, C. Anthony, 2016. "How crowdsourcing improves prediction of market-oriented outcomes," Journal of Business Research, Elsevier, vol. 69(10), pages 4168-4176.
    11. Gary L. Lilien & John H. Roberts & Venkatesh Shankar, 2013. "Effective Marketing Science Applications: Insights from the ISMS-MSI Practice Prize Finalist Papers and Projects," Marketing Science, INFORMS, vol. 32(2), pages 229-245, March.
    12. Dapeng Cui & David Curry, 2005. "Prediction in Marketing Using the Support Vector Machine," Marketing Science, INFORMS, vol. 24(4), pages 595-615, January.
    13. Jan Engelke & Hermann Simon, 2007. "Decision Support Systeme im Marketing," Schmalenbach Journal of Business Research, Springer, vol. 59(1), pages 120-142, February.
    14. Leeflang, Peter, 2011. "Paving the way for “distinguished marketing”," International Journal of Research in Marketing, Elsevier, vol. 28(2), pages 76-88.
    15. F. Dařena, 2007. "Global architecture of marketing information systems - Scientific Information," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 53(9), pages 432-440.
    16. Wierenga, Berend, 2011. "Managerial decision making in marketing: The next research frontier," International Journal of Research in Marketing, Elsevier, vol. 28(2), pages 89-101.

    More about this item

    Keywords

    Information systems for management; support of managerial decisions; decision-making models; management in health care.;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation

    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:special1:p:1179-1195. 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.