IDEAS home Printed from https://ideas.repec.org/a/spr/infsem/v19y2021i1d10.1007_s10257-020-00490-4.html
   My bibliography  Save this article

Exfoliating decision support system: a synthesis of themes using text mining

Author

Listed:
  • Rahul Kumar

    (Indian Institute of Management (IIM) Sambalpur
    Xavier Institute of Management Bhubaneswar (XIMB))

  • Rahul Thakurta

    (Xavier Institute of Management Bhubaneswar (XIMB))

Abstract

Decision support systems (DSS) have evolved significantly since the past 50 years. The existing bouquet of DSS contributions offering the prevalent emphasis and future orientations of the field also point towards several shortcomings. The existing conceptualizations of DSS offer a fragmented portrayal of the field, with a demarcation of the academia and the industry. The literature also presented a disjoint representation of the tenets of DSS. We address these concerns in this research by synthesizing the conceptual elements of DSS towards a coherent understanding of the field. We resort to an automated content analysis procedure using text mining in an open-source platform. Lexical analysis, topic modeling, and other data mining techniques were used to unveil the latent elements of DSS. Our findings indicate the three underlying themes of DSS as 'Plan', 'Design', and 'Use'. We further identified the elements of pivotal importance of DSS that helped us in re-conceptualizing the understanding of DSS. Our validation of the notion of DSS based on the practitioner's viewpoints also attended to the issue of the academia-industry divide in terms of the perception of DSS. Further, we propose an extension of the ‘Plan-Design-Use’ model through a feedback loop based on which we present the future design possibilities in DSS in terms of the reusability of the extant DSS contributions.

Suggested Citation

  • Rahul Kumar & Rahul Thakurta, 2021. "Exfoliating decision support system: a synthesis of themes using text mining," Information Systems and e-Business Management, Springer, vol. 19(1), pages 247-279, March.
  • Handle: RePEc:spr:infsem:v:19:y:2021:i:1:d:10.1007_s10257-020-00490-4
    DOI: 10.1007/s10257-020-00490-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10257-020-00490-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10257-020-00490-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Scott Hendry & Alison Madeley, 2010. "Text Mining and the Information Content of Bank of Canada Communications," Staff Working Papers 10-31, Bank of Canada.
    2. Rajiv Nag & Donald C. Hambrick & Ming‐Jer Chen, 2007. "What is strategic management, really? Inductive derivation of a consensus definition of the field," Strategic Management Journal, Wiley Blackwell, vol. 28(9), pages 935-955, September.
    3. Rahul Kumar & Pradip Kumar Bala, 0. "Recommendation engine based on derived wisdom for more similar item neighbors," Information Systems and e-Business Management, Springer, vol. 0, pages 1-27.
    4. Dyer, Travis & Lang, Mark & Stice-Lawrence, Lorien, 2017. "The evolution of 10-K textual disclosure: Evidence from Latent Dirichlet Allocation," Journal of Accounting and Economics, Elsevier, vol. 64(2), pages 221-245.
    5. Johannes Müller-Trede & Shoham Choshen-Hillel & Meir Barneron & Ilan Yaniv, 2017. "The Wisdom of Crowds in Matters of Taste," Discussion Paper Series dp709, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
    6. Richard O. Mason & Ian I. Mitroff, 1973. "A Program for Research on Management Information Systems," Management Science, INFORMS, vol. 19(5), pages 475-487, January.
    7. Joseph G. Walls & George R. Widmeyer & Omar A. El Sawy, 1992. "Building an Information System Design Theory for Vigilant EIS," Information Systems Research, INFORMS, vol. 3(1), pages 36-59, March.
    8. Moro, Sérgio & Pires, Guilherme & Rita, Paulo & Cortez, Paulo, 2019. "A text mining and topic modelling perspective of ethnic marketing research," Journal of Business Research, Elsevier, vol. 103(C), pages 275-285.
    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. Nadja Hatzijordanou & Nicolai Bohn & Orestis Terzidis, 2019. "A systematic literature review on competitor analysis: status quo and start-up specifics," Management Review Quarterly, Springer, vol. 69(4), pages 415-458, November.
    2. Fons Wijnhoven, 2012. "The Hegelian inquiring system and a critical triangulation tool for the Internet information slave: A design science study," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(6), pages 1168-1182, June.
    3. Jochen Wulf, 2020. "Development of an AHP hierarchy for managing omnichannel capabilities: a design science research approach," Business Research, Springer;German Academic Association for Business Research, vol. 13(1), pages 39-68, April.
    4. Hendrik Hilpert & Johann Kranz & Matthias Schumann, 2013. "Leveraging Green IS in Logistics," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(5), pages 315-325, October.
    5. Pinto, Inês & Morais, Ana Isabel & Quick, Reiner, 2020. "The impact of the precision of accounting standards on the expanded auditor’s report in the European Union," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 40(C).
    6. Hugo S. Gonçalves & Sérgio Moro, 2023. "On the economic impacts of COVID‐19: A text mining literature analysis," Review of Development Economics, Wiley Blackwell, vol. 27(1), pages 375-394, February.
    7. McCannon, Bryan & Zhou, Yang & Hall, Joshua, 2021. "Measuring a Contract’s Breadth: A Text Analysis," Working Papers 11013, George Mason University, Mercatus Center.
    8. Yi Yang & Kunpeng Zhang & Yangyang Fan, 2023. "sDTM: A Supervised Bayesian Deep Topic Model for Text Analytics," Information Systems Research, INFORMS, vol. 34(1), pages 137-156, March.
    9. Jitendar Kumar Khatri & Bhimaraya Metri, 2016. "SWOT-AHP Approach for Sustainable Manufacturing Strategy Selection: A Case of Indian SME," Global Business Review, International Management Institute, vol. 17(5), pages 1211-1226, October.
    10. Marcel Rosenberger & Christiane Lehrer & Reinhard Jung, 0. "Integrating data from user activities of social networks into public administrations," Information Systems Frontiers, Springer, vol. 0, pages 1-14.
    11. Pongsak Luangaram & Yuthana Sethapramote, 2016. "Central Bank Communication and Monetary Policy Effectiveness: Evidence from Thailand," PIER Discussion Papers 20, Puey Ungphakorn Institute for Economic Research.
    12. Julio Cesar Alonso Cifuentes, 2020. "Una introducción a la construcción de Word Clouds (para economistas) en R," Icesi Economics Lecture Notes 18187, Universidad Icesi.
    13. David Bholat & Stephen Hans & Pedro Santos & Cheryl Schonhardt-Bailey, 2015. "Text mining for central banks," Handbooks, Centre for Central Banking Studies, Bank of England, number 33, April.
    14. Munday, Tim & Brookes, James, 2021. "Mark my words: the transmission of central bank communication to the general public via the print media," Bank of England working papers 944, Bank of England.
    15. Aakriti Mathur & Rajeswari Sengupta, 2019. "Analysing monetary policy statements of the Reserve Bank of India," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2019-012, Indira Gandhi Institute of Development Research, Mumbai, India.
    16. Chychyla, Roman & Leone, Andrew J. & Minutti-Meza, Miguel, 2019. "Complexity of financial reporting standards and accounting expertise," Journal of Accounting and Economics, Elsevier, vol. 67(1), pages 226-253.
    17. Raffaele Fabio Ciriello & Alexandra Cecilie Gjøl Torbensen & Magnus Rotvit Perlt Hansen & Christoph Müller-Bloch, 2023. "Blockchain-based digital rights management systems: Design principles for the music industry," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-21, December.
    18. O'Keefe, Robert M., 2016. "Experimental behavioural research in operational research: What we know and what we might come to know," European Journal of Operational Research, Elsevier, vol. 249(3), pages 899-907.
    19. Blanc, Antoine & Huault, Isabelle, 2014. "Against the digital revolution? Institutional maintenance and artefacts within the French recorded music industry," Technological Forecasting and Social Change, Elsevier, vol. 83(C), pages 10-23.
    20. Pastwa, Anna M. & Shrestha, Prabal & Thewissen, James & Torsin, Wouter, 2021. "Unpacking the black box of ICO white papers: a topic modeling approach," LIDAM Discussion Papers LFIN 2021018, Université catholique de Louvain, Louvain Finance (LFIN).

    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:spr:infsem:v:19:y:2021:i:1:d:10.1007_s10257-020-00490-4. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.