IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i13p9854-d1175681.html
   My bibliography  Save this article

Business Intelligence Strategies, Best Practices, and Latest Trends: Analysis of Scientometric Data from 2003 to 2023 Using Machine Learning

Author

Listed:
  • Fatih Gurcan

    (Department of Management Information Systems, Faculty of Economics and Administrative Sciences, Karadeniz Technical University, Trabzon 61080, Turkey)

  • Ahmet Ayaz

    (Digital Transformation Office, Karadeniz Technical University, Trabzon 61080, Turkey)

  • Gonca Gokce Menekse Dalveren

    (Department of Software Engineering, Faculty of Engineering, Atilim University, Ankara 06830, Turkey)

  • Mohammad Derawi

    (Department of Electronic Systems, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology, 7034 Gjøvik, Norway)

Abstract

The widespread use of business intelligence products, services, and applications piques the interest of researchers in this field. The interest of researchers in business intelligence increases the number of studies significantly. Identifying domain-specific research patterns and trends is thus a significant research problem. This study employs a topic modeling approach to analyze domain-specific articles in order to identify research patterns and trends in the business intelligence field over the last 20 years. As a result, 36 topics were discovered that reflect the field’s research landscape and trends. Topics such as “Organizational Capability”, “AI Applications”, “Data Mining”, “Big Data Analytics”, and “Visualization” have recently gained popularity. A systematic taxonomic map was also created, revealing the research background and BI perspectives based on the topics. This study may be useful to researchers and practitioners interested in learning about the most recent developments in the field. Topics generated by topic modeling can also be used to identify gaps in current research or potential future research directions.

Suggested Citation

  • Fatih Gurcan & Ahmet Ayaz & Gonca Gokce Menekse Dalveren & Mohammad Derawi, 2023. "Business Intelligence Strategies, Best Practices, and Latest Trends: Analysis of Scientometric Data from 2003 to 2023 Using Machine Learning," Sustainability, MDPI, vol. 15(13), pages 1-23, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:9854-:d:1175681
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/13/9854/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/13/9854/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. NoorUl Ain & Giovanni Vaia & William Delone & Mehwish Waheed, 2019. "Two decades of research on business intelligence system adoption, utilization and success – A systematic literature review," Post-Print hal-03882087, HAL.
    2. Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc, 2021. "How to conduct a bibliometric analysis: An overview and guidelines," Journal of Business Research, Elsevier, vol. 133(C), pages 285-296.
    3. Bogdan NEDELCU, 2013. "Business Intelligence Systems," Database Systems Journal, Academy of Economic Studies - Bucharest, Romania, vol. 4(4), pages 12-20, December.
    4. Carlos Andrés Tavera Romero & Jesús Hamilton Ortiz & Osamah Ibrahim Khalaf & Andrea Ríos Prado, 2021. "Business Intelligence: Business Evolution after Industry 4.0," Sustainability, MDPI, vol. 13(18), pages 1-13, September.
    5. Fatih Gurcan & Gizem Dilan Boztas & Gonca Gokce Menekse Dalveren & Mohammad Derawi, 2023. "Digital Transformation Strategies, Practices, and Trends: A Large-Scale Retrospective Study Based on Machine Learning," Sustainability, MDPI, vol. 15(9), pages 1-23, May.
    6. William Yeoh & Aleš Popovič, 2016. "Extending the understanding of critical success factors for implementing business intelligence systems," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(1), pages 134-147, January.
    7. Ming-Chang Lee & To Chang, 2007. "Linking knowledge management and innovation management in e-business," International Journal of Innovation and Learning, Inderscience Enterprises Ltd, vol. 4(2), pages 145-159.
    8. Mihaela Muntean & Doina Dănăiaţă & Luminiţa Hurbean & Cornelia Jude, 2021. "A Business Intelligence & Analytics Framework for Clean and Affordable Energy Data Analysis," Sustainability, MDPI, vol. 13(2), pages 1-25, January.
    9. Cheng, Cong & Zhong, Huihui & Cao, Liebing, 2020. "Facilitating speed of internationalization: The roles of business intelligence and organizational agility," Journal of Business Research, Elsevier, vol. 110(C), pages 95-103.
    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. Pinho, Celso R.A. & Pinho, Maria Luiza C.A. & Deligonul, Seyda Z. & Tamer Cavusgil, S., 2022. "The agility construct in the literature: Conceptualization and bibliometric assessment," Journal of Business Research, Elsevier, vol. 153(C), pages 517-532.
    2. Mohammad Reza Seddigh & Sajjad Shokouhyar & Fatemeh Loghmani, 2023. "Approaching towards sustainable supply chain under the spotlight of business intelligence," Annals of Operations Research, Springer, vol. 324(1), pages 937-970, May.
    3. Jan Wiers & Didier Chabaud, 2022. "Bibliometric analysis of immigrant entrepreneurship research 2009–2019," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 12(1), pages 441-464, December.
    4. Katherin Carrera-Silva & Olga Maritza Rodríguez Ulcuango & Paula Abdo-Peralta & Ángel Gerardo Castelo Salazar & Carmen Amelia Samaniego Erazo & Diego Haro Ávalos, 2024. "Beyond the Financial Horizon: A Critical Review of Social Responsibility in Latin American Credit Unions," Sustainability, MDPI, vol. 16(18), pages 1-23, September.
    5. Yucheng Zhang & Zhiling Wang & Lin Xiao & Lijun Wang & Pei Huang, 2023. "Discovering the evolution of online reviews: A bibliometric review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.
    6. Tajana Čop & Mario Njavro, 2022. "Application of Discrete Choice Experiment in Agricultural Risk Management: A Review," Sustainability, MDPI, vol. 14(17), pages 1-17, August.
    7. Migliavacca, Milena & Goodell, John W. & Paltrinieri, Andrea, 2023. "A bibliometric review of portfolio diversification literature," International Review of Financial Analysis, Elsevier, vol. 90(C).
    8. Shuangqing Sheng & Wei Song & Hua Lian & Lei Ning, 2022. "Review of Urban Land Management Based on Bibliometrics," Land, MDPI, vol. 11(11), pages 1-25, November.
    9. Gour Gobinda Goswami & Tahmid Labib, 2022. "Modeling COVID-19 Transmission Dynamics: A Bibliometric Review," IJERPH, MDPI, vol. 19(21), pages 1-19, October.
    10. Dzintra Atstāja & Kevin Wilclif Mukem, 2024. "Sustainable Supply Chain Management in the Oil and Gas Industry in Developing Countries as a Part of the Quadruple Helix Concept: A Systematic Literature Review," Sustainability, MDPI, vol. 16(5), pages 1-18, February.
    11. Das, Kallol & Patel, Jayesh D. & Sharma, Anuj & Shukla, Yupal, 2023. "Creativity in marketing: Examining the intellectual structure using scientometric analysis and topic modeling," Journal of Business Research, Elsevier, vol. 154(C).
    12. Majda Ćesić & Katarina Rogulj & Jelena Kilić Pamuković & Andrija Krtalić, 2024. "A Systematic Review on Fuzzy Decision Support Systems and Multi-Criteria Analysis in Urban Heat Island Management," Energies, MDPI, vol. 17(9), pages 1-41, April.
    13. Ying Liang & Wei Song, 2022. "Ecological and Environmental Effects of Land Use and Cover Changes on the Qinghai-Tibetan Plateau: A Bibliometric Review," Land, MDPI, vol. 11(12), pages 1-23, November.
    14. Luiz Almeida & Ana Soares & Pedro Moura, 2023. "A Systematic Review of Optimization Approaches for the Integration of Electric Vehicles in Public Buildings," Energies, MDPI, vol. 16(13), pages 1-26, June.
    15. Lanzalonga Federico & Chmet Federico & Petrolo Basilio & Brescia Valerio, 2023. "Exploring Diversity Management to Avoid Social Washing and Pinkwashing: Using Bibliometric Analysis to Shape Future Research Directions," Journal of Intercultural Management, Sciendo, vol. 15(1), pages 41-65, March.
    16. Mohd Arif Fahmi Bidin & Alwi Mohd Yunus, 2017. "Business Intelligence Using Data Mining for Organizational Sustainability: A Case Study of Digi Telecommunication Sdn Bhd," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(12), pages 471-485, December.
    17. Satish Kumar & Filomena Maggino & Raj V. Mahto & Riya Sureka & Leonardo Salvatore Alaimo & Weng Marc Lim, 2022. "Social Indicators Research: A Retrospective Using Bibliometric Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(1), pages 413-448, July.
    18. Adomako, Samuel & Amankwah-Amoah, Joseph & Donbesuur, Francis & Ahsan, Mujtaba & Danso, Albert & Uddin, Moshfique, 2022. "Strategic agility of SMEs in emerging economies: Antecedents, consequences and boundary conditions," International Business Review, Elsevier, vol. 31(6).
    19. Hutchinson, Mark C. & Lucey, Brian, 2024. "A bibliometric and systemic literature review of biodiversity finance," Finance Research Letters, Elsevier, vol. 64(C).
    20. Iveta Musilová & Jiří Dvořák & Jaroslav Jánský & Vladimír Bolek, 2023. "Trends in Performance Research in Relation to Business Strategy: Bibliometric Analysis and Text Mining," Central European Business Review, Prague University of Economics and Business, vol. 2023(3), pages 143-174.

    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:jsusta:v:15:y:2023:i:13:p:9854-:d:1175681. 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.