IDEAS home Printed from https://ideas.repec.org/a/pal/jmarka/v8y2020i3d10.1057_s41270-020-00081-9.html
   My bibliography  Save this article

Why and how to merge Scopus and Web of Science during bibliometric analysis: the case of sales force literature from 1912 to 2019

Author

Listed:
  • Saïd Echchakoui

    (University of Quebec at Rimouski)

Abstract

To conduct a bibliometric analysis, several researchers retrieve publications from Scopus or/and Web of Science (WOS) databases. When these scholars consider both Scopus and WOS databases, they mostly make two bibliometric analysis: one from Scopus database and the other from WOS database. A few researchers merge the two databases to conduct a single analysis, but they do not specify how they did it. This paper aims to advance the bibliometric analysis by addressing two points. First, this research claims that making a bibliometric analysis that takes information from Scopus or/and separately from WOS cannot give a broader view of knowledge and tendencies in a field. To prove this claim, we retrieve papers from Scopus and WOS databases to make a bibliometric analysis of sales force literature that covers from 1912 to 2019. Results show that there are many disparities between WOS and merged database, and between this latter and WOS database regarding bibliometric analyses, especially among primary productive authors, the most influential papers, and keyword occurrences. Second, this research proposes a four-step procedure that merges these two databases to allow more reliable bibliometric analyses. This procedure was explicitly shown by using the bibliometric analysis of sales force literature during 1912–2019.

Suggested Citation

  • Saïd Echchakoui, 2020. "Why and how to merge Scopus and Web of Science during bibliometric analysis: the case of sales force literature from 1912 to 2019," Journal of Marketing Analytics, Palgrave Macmillan, vol. 8(3), pages 165-184, September.
    • Handle: RePEc:pal:jmarka:v:8:y:2020:i:3:d:10.1057_s41270-020-00081-9
    DOI: 10.1057/s41270-020-00081-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41270-020-00081-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1057/s41270-020-00081-9?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. Wang, Qi & Waltman, Ludo, 2016. "Large-scale analysis of the accuracy of the journal classification systems of Web of Science and Scopus," Journal of Informetrics, Elsevier, vol. 10(2), pages 347-364.
    2. Norris, Michael & Oppenheim, Charles, 2007. "Comparing alternatives to the Web of Science for coverage of the social sciences’ literature," Journal of Informetrics, Elsevier, vol. 1(2), pages 161-169.
    3. Anne-Wil Harzing & Satu Alakangas, 2016. "Google Scholar, Scopus and the Web of Science: a longitudinal and cross-disciplinary comparison," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 787-804, February.
    4. Fernando J. Garrigos-Simon & Yeamduan Narangajavana-Kaosiri & Ismael Lengua-Lengua, 2018. "Tourism and Sustainability: A Bibliometric and Visualization Analysis," Sustainability, MDPI, vol. 10(6), pages 1-23, June.
    5. Castillo-Vergara, Mauricio & Alvarez-Marin, Alejandro & Placencio-Hidalgo, Dario, 2018. "A bibliometric analysis of creativity in the field of business economics," Journal of Business Research, Elsevier, vol. 85(C), pages 1-9.
    6. Philippe Mongeon & Adèle Paul-Hus, 2016. "The journal coverage of Web of Science and Scopus: a comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 213-228, January.
    7. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    8. Ole Ellegaard & Johan A. Wallin, 2015. "The bibliometric analysis of scholarly production: How great is the impact?," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1809-1831, December.
    9. Laura Fabregat-Aibar & M. Glòria Barberà-Mariné & Antonio Terceño & Laia Pié, 2019. "A Bibliometric and Visualization Analysis of Socially Responsible Funds," Sustainability, MDPI, vol. 11(9), pages 1-17, May.
    10. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
    11. Gerhard Reinelt, 1991. "TSPLIB—A Traveling Salesman Problem Library," INFORMS Journal on Computing, INFORMS, vol. 3(4), pages 376-384, November.
    12. Éric Archambault & David Campbell & Yves Gingras & Vincent Larivière, 2009. "Comparing bibliometric statistics obtained from the Web of Science and Scopus," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(7), pages 1320-1326, July.
    13. Myriam Ertz & Sébastien Leblanc-Proulx, 2019. "Review of a proposed methodology for bibliometric and visualization analyses for organizations: application to the collaboration economy," Journal of Marketing Analytics, Palgrave Macmillan, vol. 7(2), pages 84-93, June.
    14. Michael Hall, C., 2011. "Publish and perish? Bibliometric analysis, journal ranking and the assessment of research quality in tourism," Tourism Management, Elsevier, vol. 32(1), pages 16-27.
    15. John Mingers & Evangelia A. E. C. G. Lipitakis, 2010. "Counting the citations: a comparison of Web of Science and Google Scholar in the field of business and management," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(2), pages 613-625, November.
    16. Éric Archambault & Étienne Vignola-Gagné & Grégoire Côté & Vincent Larivière & Yves Gingrasb, 2006. "Benchmarking scientific output in the social sciences and humanities: The limits of existing databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 329-342, September.
    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. Edison Jair Duque Oliva & Pedro Duque, 2022. "Tendencias emergentes en la literatura sobre el compromiso del cliente: un análisis bibliométrico," Estudios Gerenciales, Universidad Icesi, vol. 38(162), pages 120-132, March.
    2. Alexandre Mathieu, 2024. "Bibliometric dataset (1995–2022) on green jobs: A comprehensive analysis of scientific publications [Ensemble de données bibliométriques (1995-2022) sur les emplois verts : analyse des publications," Post-Print hal-04338772, HAL.
    3. Tsiotsou, Rodoula H. & Boukis, Achilleas, 2022. "In-home service consumption: A systematic review, integrative framework and future research agenda," Journal of Business Research, Elsevier, vol. 145(C), pages 49-64.
    4. Paolo Franco, 2023. "Older consumers and technology: A critical systematic literature review," AMS Review, Springer;Academy of Marketing Science, vol. 13(1), pages 92-121, June.
    5. Valentina Della Corte & Giovanna Del Gaudio & Fabiana Sepe & Simone Luongo, 2021. "Destination Resilience and Innovation for Advanced Sustainable Tourism Management: A Bibliometric Analysis," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    6. Collins C. Okolie & Abiodun A. Ogundeji, 2022. "Effect of COVID-19 on agricultural production and food security: A scientometric analysis," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-13, December.
    7. Alexandre Oliveira & Fernando Carvalho & Nuno Rosa Reis, 2022. "Institutions and Firms’ Performance: A Bibliometric Analysis and Future Research Avenues," Publications, MDPI, vol. 10(1), pages 1-20, February.
    8. Andrea Caputo & Mariya Kargina, 2022. "A user-friendly method to merge Scopus and Web of Science data during bibliometric analysis," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(1), pages 82-88, March.
    9. Fernando Morante-Carballo & Néstor Montalván-Burbano & Maribel Aguilar-Aguilar & Paúl Carrión-Mero, 2022. "A Bibliometric Analysis of the Scientific Research on Artisanal and Small-Scale Mining," IJERPH, MDPI, vol. 19(13), pages 1-29, July.
    10. Kristina Galjanić & Ivan Marović & Nikša Jajac, 2022. "Decision Support Systems for Managing Construction Projects: A Scientific Evolution Analysis," Sustainability, MDPI, vol. 14(9), pages 1-23, April.
    11. Abdelkebir Sahid & Yassine Maleh & Shahram Atashi Asemanjerdi & Pedro Antonio Martín-Cervantes, 2023. "A Bibliometric Analysis of the FinTech Agility Literature: Evolution and Review," IJFS, MDPI, vol. 11(4), pages 1-32, October.
    12. Filippi, Emilia & Bannò, Mariasole & Trento, Sandro, 2023. "Automation technologies and their impact on employment: A review, synthesis and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 191(C).

    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. Saïd Echchakoui, 0. "Why and how to merge Scopus and Web of Science during bibliometric analysis: the case of sales force literature from 1912 to 2019," Journal of Marketing Analytics, Palgrave Macmillan, vol. 0, pages 1-20.
    2. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    3. Andrés Martínez-Medina & Sonia Morales-Calvo & Vicenta Rodríguez-Martín & Víctor Meseguer-Sánchez & Valentín Molina-Moreno, 2022. "Sixteen Years since the Convention on the Rights of Persons with Disabilities: What Have We Learned since Then?," IJERPH, MDPI, vol. 19(18), pages 1-21, September.
    4. Valentina Della Corte & Giovanna Del Gaudio & Fabiana Sepe & Fabiana Sciarelli, 2019. "Sustainable Tourism in the Open Innovation Realm: A Bibliometric Analysis," Sustainability, MDPI, vol. 11(21), pages 1-18, November.
    5. Andrea Caputo & Mariya Kargina, 2022. "A user-friendly method to merge Scopus and Web of Science data during bibliometric analysis," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(1), pages 82-88, March.
    6. Victor Tiberius & Meike Rietz & Ricarda B. Bouncken, 2020. "Performance Analysis and Science Mapping of Institutional Entrepreneurship Research," Administrative Sciences, MDPI, vol. 10(3), pages 1-21, September.
    7. Carlos Sánchez‐Camacho & Rocío Carranza & David Martín‐Consuegra & Estrella Díaz, 2022. "Evolution, trends and future research lines in corporate social responsibility and tourism: A bibliometric analysis and science mapping," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(3), pages 462-476, June.
    8. Franceschini, Fiorenzo & Maisano, Domenico & Mastrogiacomo, Luca, 2016. "Empirical analysis and classification of database errors in Scopus and Web of Science," Journal of Informetrics, Elsevier, vol. 10(4), pages 933-953.
    9. Martha María Mayes-Ramírez & Francisco Jesús Gálvez-Sánchez & Ángel Fermín Ramos-Ridao & Valentín Molina-Moreno, 2023. "Urban Waste: Visualizing the Academic Literature through Bibliometric Analysis and Systematic Review," Sustainability, MDPI, vol. 15(3), pages 1-24, January.
    10. Weisheng Chiu & Thomas Chun Man Fan & Sang-Back Nam & Ping-Hung Sun, 2021. "Knowledge Mapping and Sustainable Development of eSports Research: A Bibliometric and Visualized Analysis," Sustainability, MDPI, vol. 13(18), pages 1-17, September.
    11. Cathaysa Martín-Blanco & Montserrat Zamorano & Carmen Lizárraga & Valentin Molina-Moreno, 2022. "The Impact of COVID-19 on the Sustainable Development Goals: Achievements and Expectations," IJERPH, MDPI, vol. 19(23), pages 1-25, December.
    12. Qian Wang & Shixian Luo & Jiao Zhang & Katsunori Furuya, 2022. "Increased Attention to Smart Development in Rural Areas: A Scientometric Analysis of Smart Village Research," Land, MDPI, vol. 11(8), pages 1-28, August.
    13. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
    14. García-Lillo, Francisco & Seva-Larrosa, Pedro & Sánchez-García, Eduardo, 2023. "What is going on in entrepreneurship research? A bibliometric and SNA analysis," Journal of Business Research, Elsevier, vol. 158(C).
    15. Laura Fabregat-Aibar & M. Glòria Barberà-Mariné & Antonio Terceño & Laia Pié, 2019. "A Bibliometric and Visualization Analysis of Socially Responsible Funds," Sustainability, MDPI, vol. 11(9), pages 1-17, May.
    16. Perez-Vega, Rodrigo & Hopkinson, Paul & Singhal, Aishwarya & Mariani, Marcello M., 2022. "From CRM to social CRM: A bibliometric review and research agenda for consumer research," Journal of Business Research, Elsevier, vol. 151(C), pages 1-16.
    17. Martín-Martín, Alberto & Orduna-Malea, Enrique & Thelwall, Mike & Delgado López-Cózar, Emilio, 2018. "Google Scholar, Web of Science, and Scopus: A systematic comparison of citations in 252 subject categories," Journal of Informetrics, Elsevier, vol. 12(4), pages 1160-1177.
    18. Pattarin Sanguankaew & Vichita Vathanophas Ractham, 2019. "Bibliometric Review of Research on Knowledge Management and Sustainability, 1994–2018," Sustainability, MDPI, vol. 11(16), pages 1-20, August.
    19. Kameliya Deyanova & Nataliia Brehmer & Artur Lapidus & Victor Tiberius & Steve Walsh, 2022. "Hatching start-ups for sustainable growth: a bibliometric review on business incubators," Review of Managerial Science, Springer, vol. 16(7), pages 2083-2109, October.
    20. Sharma, Wamika & Lim, Weng Marc & Kumar, Satish & Verma, Aastha & Kumra, Rajeev, 2024. "Game on! A state-of-the-art overview of doing business with gamification," Technological Forecasting and Social Change, Elsevier, vol. 198(C).

    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:pal:jmarka:v:8:y:2020:i:3:d:10.1057_s41270-020-00081-9. 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.palgrave-journals.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.