IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v52y2018i2d10.1007_s11135-017-0522-7.html
   My bibliography  Save this article

State of the art in business analytics: themes and collaborations

Author

Listed:
  • Seyed Mohammad Jafar Jalali

    (Allameh Tabataba’i University)

  • Han Woo Park

    (YeungNam University)

Abstract

In this study, we illustrate the most recent stage in the scholarly development of the field of Business Analytics. Using around 23,000 research publications collected from the Web of Science, we network-analyzed four types of dataset that include keywords, titles, institutions, and countries. It is noteworthy that we found a thematic cluster focusing on analytical techniques and tools, particular with the rapid dissemination of “big data”-related studies. It is not surprising that universities and institutions in advanced countries in the West still occupy the central position of the collaboration network. However, we can discern a global shift toward certain developing and transitional economies in the world science base.

Suggested Citation

  • Seyed Mohammad Jafar Jalali & Han Woo Park, 2018. "State of the art in business analytics: themes and collaborations," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 627-633, March.
    • Handle: RePEc:spr:qualqt:v:52:y:2018:i:2:d:10.1007_s11135-017-0522-7
    DOI: 10.1007/s11135-017-0522-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-017-0522-7
    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/s11135-017-0522-7?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. Park, Han Woo & Leydesdorff, Loet, 2013. "Decomposing social and semantic networks in emerging “big data” research," Journal of Informetrics, Elsevier, vol. 7(3), pages 756-765.
    2. Troilo, Michael & Bouchet, Adrien & Urban, Timothy L. & Sutton, William A., 2016. "Perception, reality, and the adoption of business analytics: Evidence from North American professional sport organizations," Omega, Elsevier, vol. 59(PA), pages 72-83.
    3. Loet Leydesdorff & Øivind Strand, 2013. "The Swedish system of innovation: Regional synergies in a knowledge-based economy," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(9), pages 1890-1902, September.
    4. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    5. Gereffi, Gary & Fernandez-Stark, Karina, 2010. "The offshore services value chain : developing countries and the crisis," Policy Research Working Paper Series 5262, The World Bank.
    6. Chang-Ping Hu & Ji-Ming Hu & Sheng-Li Deng & Yong Liu, 2013. "A co-word analysis of library and information science in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 369-382, November.
    7. W. Edward STEINMUELLER, 2001. "ICTs and the possibilities for leapfrogging by developing countries," International Labour Review, International Labour Organization, vol. 140(2), pages 193-210, June.
    8. Qian-Jin Zong & Hong-Zhou Shen & Qin-Jian Yuan & Xiao-Wei Hu & Zhi-Ping Hou & Shun-Guo Deng, 2013. "Doctoral dissertations of Library and Information Science in China: A co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 781-799, 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. Keshav Singh Rawat & Sandeep Kumar Sood, 2021. "Emerging trends and global scope of big data analytics: a scientometric analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(4), pages 1371-1396, August.
    2. Han Woo Park & Jungwon Yoon, 2019. "Structural characteristics of institutional collaboration in North Korea analyzed through domestic publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 771-787, May.
    3. Adasa Nkrumah Kofi Frimpong & Ping Li & Millicent Amoah & Md Altab Hossin, 2021. "From the algorithmic and emergent mindset to the heuristic mindset of reviewing literature," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(4), pages 1419-1455, August.
    4. Maxim Kotsemir, 2019. "Unmanned aerial vehicles research in Scopus: an analysis and visualization of publication activity and research collaboration at the country level," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 2143-2173, July.
    5. Barbara S. Lancho-Barrantes & Hector G. Ceballos-Cancino & Francisco J. Cantu-Ortiz, 2021. "Comparing the efficiency of countries to assimilate and apply research investment," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(4), pages 1347-1369, August.
    6. Iman Raeesi Vanani & Laya Mahmoudi & Seyed Mohammad Jafar Jalali & Kim-Hung Pho, 2022. "Using text mining algorithms in identifying emerging trends for recommender systems," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(3), pages 1293-1326, June.
    7. Yang Bai & Hongxiu Li & Yong Liu, 2021. "Visualizing research trends and research theme evolution in E-learning field: 1999–2018," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1389-1414, February.
    8. Nauman Majeed & Sulaiman Ainin, 2021. "Visualizing the evolution and landscape of socio-economic impact research," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(2), pages 637-659, April.
    9. Hyo Chan Park & Jonghee M. Youn & Han Woo Park, 2019. "Global mapping of scientific information exchange using altmetric data," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 935-955, March.
    10. Wullianallur Raghupathi & Viju Raghupathi, 2021. "Contemporary Business Analytics: An Overview," Data, MDPI, vol. 6(8), pages 1-11, August.

    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. Hao Wang & Sanhong Deng & Xinning Su, 2016. "A study on construction and analysis of discipline knowledge structure of Chinese LIS based on CSSCI," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1725-1759, December.
    2. Claudia Patricia Maldonado-Erazo & José Álvarez-García & María de la Cruz del Río-Rama & Amador Durán-Sánchez, 2021. "Scientific Mapping on the Impact of Climate Change on Cultural and Natural Heritage: A Systematic Scientometric Analysis," Land, MDPI, vol. 10(1), pages 1-19, January.
    3. María Pinto & Rosaura Fernández-Pascual & David Caballero-Mariscal & Dora Sales, 2020. "Information literacy trends in higher education (2006–2019): visualizing the emerging field of mobile information literacy," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1479-1510, August.
    4. Sung Kim & Derek Hansen & Richard Helps, 2018. "Computing research in the academy: insights from theses and dissertations," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 135-158, January.
    5. Jia-Yen Huang & Rong-Chang Chen, 2019. "Exploring the intellectual structure of cloud patents using non-exhaustive overlaps," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 739-769, November.
    6. Antonio Molina-García & Julio Diéguez-Soto & M. Teresa Galache-Laza & Marta Campos-Valenzuela, 2023. "Financial literacy in SMEs: a bibliometric analysis and a systematic literature review of an emerging research field," Review of Managerial Science, Springer, vol. 17(3), pages 787-826, April.
    7. María Pinto & Rosaura Fernández-Pascual & David Caballero-Mariscal & Dora Sales & David Guerrero & Alejandro Uribe, 2019. "Scientific production on mobile information literacy in higher education: a bibliometric analysis (2006–2017)," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 57-85, July.
    8. María de la Cruz del Río-Rama & Claudia Patricia Maldonado-Erazo & José Álvarez-García & Amador Durán-Sánchez, 2020. "Cultural and Natural Resources in Tourism Island: Bibliometric Mapping," Sustainability, MDPI, vol. 12(2), pages 1-26, January.
    9. Han Woo Park, 2014. "An interview with Loet Leydesdorff: the past, present, and future of the triple helix in the age of big data," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 199-202, April.
    10. Alexey Lyutov & Yilmaz Uygun & Marc-Thorsten Hütt, 2021. "Machine learning misclassification of academic publications reveals non-trivial interdependencies of scientific disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1173-1186, February.
    11. Zheng Xie & Yanwu Li & Zhemin Li, 2020. "Assessing and predicting the quality of research master’s theses: an application of scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 953-972, August.
    12. Guo Chen & Lu Xiao & Chang-ping Hu & Xue-qin Zhao, 2015. "Identifying the research focus of Library and Information Science institutions in China with institution-specific keywords," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 707-724, May.
    13. Jiang, Hanchen & Qiang, Maoshan & Lin, Peng, 2016. "A topic modeling based bibliometric exploration of hydropower research," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 226-237.
    14. Babajide Abubakr Muritala & Maria-Victoria Sánchez-Rebull & Ana-Beatriz Hernández-Lara, 2020. "A Bibliometric Analysis of Online Reviews Research in Tourism and Hospitality," Sustainability, MDPI, vol. 12(23), pages 1-18, November.
    15. Noriyuki Morichika & Sotaro Shibayama, 2016. "Use of dissertation data in science policy research," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 221-241, July.
    16. Seyedmohammadreza Hosseini & Hamed Baziyad & Rasoul Norouzi & Sheida Jabbedari Khiabani & Győző Gidófalvi & Amir Albadvi & Abbas Alimohammadi & Seyedehsan Seyedabrishami, 2021. "Mapping the intellectual structure of GIS-T field (2008–2019): a dynamic co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2667-2688, April.
    17. Bei-Ni Yan & Tian-Shyug Lee & Tsung-Pei Lee, 2015. "Analysis of research papers on E-commerce (2000–2013): based on a text mining approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 403-417, October.
    18. María del Pilar Casado-Belmonte & María de las Mercedes Capobianco-Uriarte & Rubén Martínez-Alonso & María J. Martínez-Romero, 2021. "Delineating the Path of Family Firm Innovation: Mapping the Scientific Structure," Review of Managerial Science, Springer, vol. 15(8), pages 2455-2499, November.
    19. Rui Yang & Guoming Du & Ziwei Duan & Mengjin Du & Xin Miao & Yanhong Tang, 2020. "Knowledge System Analysis on Emergency Management of Public Health Emergencies," Sustainability, MDPI, vol. 12(11), pages 1-18, May.
    20. E. M. Murgado-Armenteros & M. Gutiérrez-Salcedo & F. J. Torres-Ruiz & M. J. Cobo, 2015. "Analysing the conceptual evolution of qualitative marketing research through science mapping analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 519-557, January.

    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:qualqt:v:52:y:2018:i:2:d:10.1007_s11135-017-0522-7. 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.