IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v105y2015i1d10.1007_s11192-015-1672-9.html
   My bibliography  Save this article

Social networks in marketing research 2001–2014: a co-word analysis

Author

Listed:
  • Zongshui Wang

    (University of Chinese Academy of Sciences)

  • Hong Zhao

    (University of Chinese Academy of Sciences)

  • Yan Wang

    (University of Chinese Academy of Sciences)

Abstract

This article aims to explore the evolution of social network in marketing research by analyzing the co-occurrence index and network structures of keywords. We find that the number of articles which subjective tittle consist of social networks within 19 marketing journals and 9 UTD (Utdallas list of top journals) management journals increase significantly and the number of keywords whose frequency are no less than two also grow dramatically since 2010, the network structures of keywords 2010–2014 become more dispersed shows as most of keywords’ centralities are between 0.32 and 0.63, and more keywords have strong relationships (Higher Cosine Index) with social networks or networks than 2001–2009. We also conclude that social network analysis has been mainly applied to study relationships, diffusion, influence, customer analysis, and enterprise management five subfields. Since mobile internet, intelligent devices, new media and digital technology are developing rapidly, social networks will be a powerful tool to study the related research fields.

Suggested Citation

  • Zongshui Wang & Hong Zhao & Yan Wang, 2015. "Social networks in marketing research 2001–2014: a co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 65-82, October.
    • Handle: RePEc:spr:scient:v:105:y:2015:i:1:d:10.1007_s11192-015-1672-9
    DOI: 10.1007/s11192-015-1672-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-015-1672-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-015-1672-9?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. Seung Ho Park & Yadong Luo, 2001. "Guanxi and organizational dynamics: organizational networking in Chinese firms," Strategic Management Journal, Wiley Blackwell, vol. 22(5), pages 455-477, May.
    2. David Godes, 2011. "Commentary--Invited Comment on "Opinion Leadership and Social Contagion in New Product Diffusion"," Marketing Science, INFORMS, vol. 30(2), pages 224-229, 03-04.
    3. Kristine de Valck & Roberts V. Kozinets & Andrea C. Wojnicki & Sarah J.S. Wilner, 2010. "Networked Narratives: Understanding Word-of-Mouth Marketing in Online Communities," Post-Print hal-00458424, HAL.
    4. Wuyts, S.H.K. & Verhoef, P. & Prins, R., 2009. "Partner selection in B2B informational service markets," Other publications TiSEM 35b4b91f-294c-47a6-95b2-7, Tilburg University, School of Economics and Management.
    5. Ramnath K. Chellappa & Nilesh Saraf, 2010. "Alliances, Rivalry, and Firm Performance in Enterprise Systems Software Markets: A Social Network Approach," Information Systems Research, INFORMS, vol. 21(4), pages 849-871, December.
    6. Sinan Aral & Dylan Walker, 2011. "Creating Social Contagion Through Viral Product Design: A Randomized Trial of Peer Influence in Networks," Management Science, INFORMS, vol. 57(9), pages 1623-1639, February.
    7. Mingfeng Lin & Nagpurnanand R. Prabhala & Siva Viswanathan, 2013. "Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending," Management Science, INFORMS, vol. 59(1), pages 17-35, August.
    8. Jan Kratzer & Christopher Lettl, 2009. "Distinctive Roles of Lead Users and Opinion Leaders in the Social Networks of Schoolchildren," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 36(4), pages 646-659, December.
    9. Wuyts, Stefan & Verhoef, Peter C. & Prins, Remco, 2009. "Partner selection in B2B information service markets," International Journal of Research in Marketing, Elsevier, vol. 26(1), pages 41-51.
    10. Tahereh Dehdarirad & Anna Villarroya & Maite Barrios, 2014. "Research trends in gender differences in higher education and science: a co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 273-290, October.
    11. Xiaoguang Wang & Qikai Cheng & Wei Lu, 2014. "Analyzing evolution of research topics with NEViewer: a new method based on dynamic co-word networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1253-1271, November.
    12. Yansong Hu & Christophe Van den Bulte, 2014. "Nonmonotonic Status Effects in New Product Adoption," Marketing Science, INFORMS, vol. 33(4), pages 509-533, July.
    13. Sergio G. Lazzarini, 2007. "The impact of membership in competing alliance constellations: Evidence on the operational performance of global airlines," Strategic Management Journal, Wiley Blackwell, vol. 28(4), pages 345-367, April.
    14. Gao-Yong Liu & Ji-Ming Hu & Hui-Ling Wang, 2012. "A co-word analysis of digital library field in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 203-217, April.
    15. Lowrey, Tina M & Otnes, Cele C & Ruth, Julie A, 2004. "Social Influences on Dyadic Giving over Time: A Taxonomy from the Giver's Perspective," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(4), pages 547-558, March.
    16. Bhatia, Tulikaa & Wang, Lei, 2011. "Identifying physician peer-to-peer effects using patient movement data," International Journal of Research in Marketing, Elsevier, vol. 28(1), pages 51-61.
    17. Duncan J. Watts & Peter Sheridan Dodds, 2007. "Influentials, Networks, and Public Opinion Formation," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(4), pages 441-458, May.
    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. Carlos Olmeda-Gómez & Maria-Antonia Ovalle-Perandones & Antonio Perianes-Rodríguez, 2017. "Co-word analysis and thematic landscapes in Spanish information science literature, 1985–2014," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 195-217, October.
    2. 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.
    3. Kim, Kun & Park, Oun-joung & Yun, Seunghyun & Yun, Haejung, 2017. "What makes tourists feel negatively about tourism destinations? Application of hybrid text mining methodology to smart destination management," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 362-369.
    4. Lara Stocchi & Naser Pourazad & Nina Michaelidou & Arry Tanusondjaja & Paul Harrigan, 2022. "Marketing research on Mobile apps: past, present and future," Journal of the Academy of Marketing Science, Springer, vol. 50(2), pages 195-225, March.
    5. Aliakbar Pourhatami & Mohammad Kaviyani-Charati & Bahareh Kargar & Hamed Baziyad & Maryam Kargar & Carlos Olmeda-Gómez, 2021. "Mapping the intellectual structure of the coronavirus field (2000–2020): a co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6625-6657, August.
    6. Gurzki, Hannes & Woisetschläger, David M., 2017. "Mapping the luxury research landscape: A bibliometric citation analysis," Journal of Business Research, Elsevier, vol. 77(C), pages 147-166.

    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. Sarah Gelper & Ralf van der Lans & Gerrit van Bruggen, 2021. "Competition for Attention in Online Social Networks: Implications for Seeding Strategies," Management Science, INFORMS, vol. 67(2), pages 1026-1047, February.
    2. Manisha Mathur, 2020. "Improving the value of the retailer brand through social media equity," Journal of Brand Management, Palgrave Macmillan, vol. 27(5), pages 508-530, September.
    3. Hu, Hai-hua & Lin, Jun & Qian, Yanjun & Sun, Jian, 2018. "Strategies for new product diffusion: Whom and how to target?," Journal of Business Research, Elsevier, vol. 83(C), pages 111-119.
    4. Rod Mccoll & Yann Truong & Antonella La Rocca, 2019. "Service guarantees as a base for positioning in B2B," Post-Print hal-02326105, HAL.
    5. Inyoung Chae & Andrew T. Stephen & Yakov Bart & Dai Yao, 2017. "Spillover Effects in Seeded Word-of-Mouth Marketing Campaigns," Marketing Science, INFORMS, vol. 36(1), pages 89-104, January.
    6. Homburg, Christian & Klarmann, Martin & Schmitt, Jens, 2010. "Brand awareness in business markets: When is it related to firm performance?," International Journal of Research in Marketing, Elsevier, vol. 27(3), pages 201-212.
    7. Yuho Chung & Yiwei Li & Jianmin Jia, 2021. "Exploring embeddedness, centrality, and social influence on backer behavior: the role of backer networks in crowdfunding," Journal of the Academy of Marketing Science, Springer, vol. 49(5), pages 925-946, September.
    8. Gandal, Neil & Bar-Gill, Sagit, 2017. "Online Exploration, Content Choice & Echo Chambers: An Experiment," CEPR Discussion Papers 11909, C.E.P.R. Discussion Papers.
    9. Rosa Maria Arnaldo Valdés & Serhat Burmaoglu & Vincenzo Tucci & Luiz Manuel Braga da Costa Campos & Lucia Mattera & Víctor Fernando Gomez Comendador, 2019. "Flight Path 2050 and ACARE Goals for Maintaining and Extending Industrial Leadership in Aviation: A Map of the Aviation Technology Space," Sustainability, MDPI, vol. 11(7), pages 1-24, April.
    10. Aletta Sophia Tolmay, 2018. "An Investigation Into the Personal Interaction Items Which Best Explain the Variation in Trust Within Automotive Supply Chains," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 11(2), pages 77-91, April.
    11. Yanhao Wei & Pinar Yildirim & Christophe Van den Bulte & Chrysanthos Dellarocas, 2016. "Credit Scoring with Social Network Data," Marketing Science, INFORMS, vol. 35(2), pages 234-258, March.
    12. Worm, Stefan & Srivastava, Rajendra K., 2014. "Impact of component supplier branding on profitability," International Journal of Research in Marketing, Elsevier, vol. 31(4), pages 409-424.
    13. Yan Lin & Wai Fong Boh, 2020. "How different Are crowdfunders? Examining archetypes of crowdfunders," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(11), pages 1357-1370, November.
    14. Xiaoguang Wang & Hongyu Wang & Han Huang, 2021. "Evolutionary exploration and comparative analysis of the research topic networks in information disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4991-5017, June.
    15. Qingliang Wang & Fred Miao & Giri Kumar Tayi & En Xie, 2019. "What makes online content viral? The contingent effects of hub users versus non–hub users on social media platforms," Journal of the Academy of Marketing Science, Springer, vol. 47(6), pages 1005-1026, November.
    16. Hinz, Oliver & Schulze, Christian & Takac, Carsten, 2014. "New product adoption in social networks: Why direction matters," Journal of Business Research, Elsevier, vol. 67(1), pages 2836-2844.
    17. Aliakbar Pourhatami & Mohammad Kaviyani-Charati & Bahareh Kargar & Hamed Baziyad & Maryam Kargar & Carlos Olmeda-Gómez, 2021. "Mapping the intellectual structure of the coronavirus field (2000–2020): a co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6625-6657, August.
    18. Zhichao Ba & Yujie Cao & Jin Mao & Gang Li, 2019. "A hierarchical approach to analyzing knowledge integration between two fields—a case study on medical informatics and computer science," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1455-1486, June.
    19. Pescher, Christian & Spann, Martin, 2014. "Relevance of actors in bridging positions for product-related information diffusion," Journal of Business Research, Elsevier, vol. 67(8), pages 1630-1637.
    20. Hong-Youl Ha, 2020. "Exploring the Effects of Trust and Its Outcomes in B2B Relationship Stages: A Longitudinal Study," Sustainability, MDPI, vol. 12(23), pages 1-14, November.

    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:scient:v:105:y:2015:i:1:d:10.1007_s11192-015-1672-9. 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.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.