IDEAS home Printed from https://ideas.repec.org/a/spr/binfse/v61y2019i3d10.1007_s12599-018-0562-0.html
   My bibliography  Save this article

Analysis of Competitor Intelligence in the Era of Big Data: An Integrated System Using Text Summarization Based on Global Optimization

Author

Listed:
  • Swapnajit Chakraborti

    (S. P. Jain Institute of Management and Research (SPJIMR))

  • Shubhamoy Dey

    (Indian Institute of Management Indore)

Abstract

Automatic text summarization can be applied to extract summaries from competitor intelligence (CI) corpora that organizations create by gathering textual data from the Internet. Such a representation of CI text is easier for managers to interpret and use for making decisions. This research investigates design of an integrated system for CI analysis which comprises clustering and automatic text summarization and evaluates quality of extractive summaries generated automatically by various text-summarization techniques based on global optimization. This research is conducted using experimentation and empirical analysis of results. A survey of practicing managers is also carried out to understand the effectiveness of automatically generated summaries from CI perspective. Firstly, it shows that global optimization-based techniques generate good quality extractive summaries for CI analysis from topical clusters created by the clustering step of the integrated system. Secondly, it shows the usefulness of the generated summaries by having them evaluated by practicing managers from CI perspective. Finally, the implication of this research from the point of view of theory and practice is discussed.

Suggested Citation

  • Swapnajit Chakraborti & Shubhamoy Dey, 2019. "Analysis of Competitor Intelligence in the Era of Big Data: An Integrated System Using Text Summarization Based on Global Optimization," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(3), pages 345-355, June.
    • Handle: RePEc:spr:binfse:v:61:y:2019:i:3:d:10.1007_s12599-018-0562-0
    DOI: 10.1007/s12599-018-0562-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12599-018-0562-0
    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/s12599-018-0562-0?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. Daniel Oberle & Nadeem Bhatti & Saartje Brockmans & Michael Niemann & Christian Janiesch, 2009. "Countering Service Information Challenges in the Internet of Services," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 1(5), pages 370-390, October.
    2. Martin Kowalczyk & Peter Buxmann, 2014. "Big Data and Information Processing in Organizational Decision Processes," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 6(5), pages 267-278, October.
    3. David P. Donohue & Peter M. Murphy, 2016. "Supporting Competitive Intelligence at DuPont by Controlling Information Overload and Cutting Through the Noise," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 15(01), pages 1-14, March.
    4. Christoph Flath & David Nicolay & Tobias Conte & Clemens Dinther & Lilia Filipova-Neumann, 2012. "Cluster Analysis of Smart Metering Data," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 4(1), pages 31-39, February.
    5. Bernd Simon, 2010. "A Discussion on Competency Management Systems from a Design Theory Perspective," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 2(6), pages 337-346, December.
    6. Kowalczyk, Martin & Buxmann, Peter, 2014. "Big Data and Information Processing in Organizational Decision Processes: A Multiple Case Study," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 65730, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    7. Hornik, Kurt & Feinerer, Ingo & Kober, Martin & Buchta, Christian, 2012. "Spherical k-Means Clustering," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 50(i10).
    8. Glenn J. Browne & Christy M. K. Cheung & Armin Heinzl & René Riedl, 2017. "Human Information Behavior," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(1), pages 1-2, February.
    9. Herbert A. Simon, 1996. "The Sciences of the Artificial, 3rd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262691914, April.
    10. Scott Deerwester & Susan T. Dumais & George W. Furnas & Thomas K. Landauer & Richard Harshman, 1990. "Indexing by latent semantic analysis," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(6), pages 391-407, September.
    11. Florian Stroh & Robert Winter & Felix Wortmann, 2011. "Method Support of Information Requirements Analysis for Analytical Information Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 3(1), pages 33-43, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Younghoon Lee, 2022. "Identifying Competitive Attributes Based on an Ensemble of Explainable Artificial Intelligence," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(4), pages 407-419, August.
    2. Ding Jian-lan & Shi Bing, 2021. "Analysis and Modeling of Enterprise Competitive Intelligence Based on Social Media User Comments," Entrepreneurship Research Journal, De Gruyter, vol. 11(2), pages 47-69, April.

    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. Curci, Ylenia & Mongeau Ospina, Christian A., 2016. "Investigating biofuels through network analysis," Energy Policy, Elsevier, vol. 97(C), pages 60-72.
    2. de Camargo Fiorini, Paula & Roman Pais Seles, Bruno Michel & Chiappetta Jabbour, Charbel Jose & Barberio Mariano, Enzo & de Sousa Jabbour, Ana Beatriz Lopes, 2018. "Management theory and big data literature: From a review to a research agenda," International Journal of Information Management, Elsevier, vol. 43(C), pages 112-129.
    3. Ninja Soeffker & Marlin W. Ulmer & Dirk C. Mattfeld, 2019. "Adaptive State Space Partitioning for Dynamic Decision Processes," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(3), pages 261-275, June.
    4. Lüdering Jochen & Winker Peter, 2016. "Forward or Backward Looking? The Economic Discourse and the Observed Reality," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(4), pages 483-515, August.
    5. Ossi Ylijoki & Jari Porras, 2016. "Conceptualizing Big Data: Analysis of Case Studies," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(4), pages 295-310, October.
    6. 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.
    7. Julian Krumeich & Dirk Werth & Peter Loos, 2016. "Prescriptive Control of Business Processes," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 58(4), pages 261-280, August.
    8. Emmanuel P. Paulino, 2022. "Amplifying organizational performance from business intelligence: Business analytics implementation in the retail industry," Journal of Entrepreneurship, Management and Innovation, Fundacja Upowszechniająca Wiedzę i Naukę "Cognitione", vol. 18(2), pages 69-104.
    9. Božič, Katerina & Dimovski, Vlado, 2019. "Business intelligence and analytics for value creation: The role of absorptive capacity," International Journal of Information Management, Elsevier, vol. 46(C), pages 93-103.
    10. David A. Broniatowski, 2018. "Building the tower without climbing it: Progress in engineering systems," Systems Engineering, John Wiley & Sons, vol. 21(3), pages 259-281, May.
    11. Christoph Keding, 2021. "Understanding the interplay of artificial intelligence and strategic management: four decades of research in review," Management Review Quarterly, Springer, vol. 71(1), pages 91-134, February.
    12. Ágnes Szukits & Péter Móricz, 2024. "Towards data-driven decision making: the role of analytical culture and centralization efforts," Review of Managerial Science, Springer, vol. 18(10), pages 2849-2887, October.
    13. Marin FOTACHE & IonuÈ› HRUBARU, 2017. "Performance Analysis Of Two Big Data Technologies On A Cloud Distributed Architecture. Results For Non-Aggregate Queries On Medium-Sized Data," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 63(3), pages 21-50, January.
    14. Fotache Marin & Hrubaru Ionuț, 2016. "Performance Analysis of Two Big Data Technologies on a Cloud Distributed Architecture. Results for Non-Aggregate Queries on Medium-Sized Data," Scientific Annals of Economics and Business, Sciendo, vol. 63(s1), pages 21-50, December.
    15. Awan, Usama & Shamim, Saqib & Khan, Zaheer & Zia, Najam Ul & Shariq, Syed Muhammad & Khan, Muhammad Naveed, 2021. "Big data analytics capability and decision-making: The role of data-driven insight on circular economy performance," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    16. Ionut HRUBARU & Marin FOTACHE, 2017. "On the Performance of Three In-Memory Data Systems for On Line Analytical Processing," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 21(1), pages 5-15.
    17. 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.
    18. Tobias Knabke & Sebastian Olbrich, 2018. "Building novel capabilities to enable business intelligence agility: results from a quantitative study," Information Systems and e-Business Management, Springer, vol. 16(3), pages 493-546, August.
    19. Sunder Shyam, 2011. "Imagined Worlds of Accounting," Accounting, Economics, and Law: A Convivium, De Gruyter, vol. 1(1), pages 1-14, January.
    20. McCown, R. L., 2002. "Changing systems for supporting farmers' decisions: problems, paradigms, and prospects," Agricultural Systems, Elsevier, vol. 74(1), pages 179-220, October.

    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:binfse:v:61:y:2019:i:3:d:10.1007_s12599-018-0562-0. 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.