Popular Research Topics in Marketing Journals, 1995–2014
Author
Abstract
Suggested Citation
DOI: 10.1016/j.intmar.2017.06.003
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Feinerer, Ingo & Hornik, Kurt & Meyer, David, 2008. "Text Mining Infrastructure in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i05).
- Carl F. Mela & Jason Roos & Yiting Deng, 2013. "Invited Paper --A Keyword History of Marketing Science," Marketing Science, INFORMS, vol. 32(1), pages 8-18, September.
- Jacob Goldenberg & Barak Libai & Eitan Muller & Stefan Stremersch, 2010. "Database Submission—The Evolving Social Network of Marketing Scholars," Marketing Science, INFORMS, vol. 29(3), pages 561-567, 05-06.
- Leydesdorff, Loet & Rafols, Ismael, 2011. "Indicators of the interdisciplinarity of journals: Diversity, centrality, and citations," Journal of Informetrics, Elsevier, vol. 5(1), pages 87-100.
- Grün, Bettina & Hornik, Kurt, 2011. "topicmodels: An R Package for Fitting Topic Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i13).
- Xin (Shane) Wang & Neil T. Bendle & Feng Mai & June CotteXin, 2015. "The Journal of Consumer Research at 40: A Historical Analysis," Journal of Consumer Research, Oxford University Press, vol. 42(1), pages 5-18.
- 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.
- Erjia Yan & Ying Ding, 2009. "Applying centrality measures to impact analysis: A coauthorship network analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(10), pages 2107-2118, October.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Schröder, Nadine & Falke, Andreas & Hruschka, Harald & Reutterer, Thomas, 2019. "Analyzing the Browsing Basket: A Latent Interests-Based Segmentation Tool," Journal of Interactive Marketing, Elsevier, vol. 47(C), pages 181-197.
- Ruth N. Bolton, 2020. "First steps to creating high impact theory in marketing," AMS Review, Springer;Academy of Marketing Science, vol. 10(3), pages 172-178, December.
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.- Abhishek Borah & Xin (Shane) Wang & Jun Hyun (Joseph) Ryoo, 2018. "Understanding Influence of Marketing Thought on Practice: an Analysis of Business Journals Using Textual and Latent Dirichlet Allocation (LDA) Analysis," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(3), pages 146-161, December.
- Maksym Polyakov & Morteza Chalak & Md. Sayed Iftekhar & Ram Pandit & Sorada Tapsuwan & Fan Zhang & Chunbo Ma, 2018. "Authorship, Collaboration, Topics, and Research Gaps in Environmental and Resource Economics 1991–2015," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(1), pages 217-239, September.
- Stefano Sbalchiero & Maciej Eder, 2020. "Topic modeling, long texts and the best number of topics. Some Problems and solutions," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(4), pages 1095-1108, August.
- Rosenzweig, Stav & Grinstein, Amir & Ofek, Elie, 2016. "Social network utilization and the impact of academic research in marketing," International Journal of Research in Marketing, Elsevier, vol. 33(4), pages 818-839.
- Shr-Wei Kao & Pin Luarn, 2020. "Topic Modeling Analysis of Social Enterprises: Twitter Evidence," Sustainability, MDPI, Open Access Journal, vol. 12(8), pages 1-20, April.
- Lüdering, Jochen & Tillmann, Peter, 2020. "Monetary policy on twitter and asset prices: Evidence from computational text analysis," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
- 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.
- 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.
- Jochen Lüdering & Peter Winker, 2016. "Forward or Backward Looking? The Economic Discourse and the Observed Reality," MAGKS Papers on Economics 201607, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
- 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.
- Cecilia Elizabeth Bayas Aldaz & Jesus Rodriguez-Pomeda & Leyla Angélica Sandoval Hamón & Fernando Casani, 2020. "Understanding the University-Sustainability Link through Media: A Spanish Perspective," Sustainability, MDPI, Open Access Journal, vol. 12(12), pages 1-14, June.
- Jonas Rieger, 2019. "Mónica Bécue-Bertaut (2019): Textual Data Science with R," Statistical Papers, Springer, vol. 60(5), pages 1797-1798, October.
- João Guerreiro & Paulo Rita & Duarte Trigueiros, 2016. "A Text Mining-Based Review of Cause-Related Marketing Literature," Journal of Business Ethics, Springer, vol. 139(1), pages 111-128, November.
- Romero-Silva, Rodrigo & de Leeuw, Sander, 2021. "Learning from the past to shape the future: A comprehensive text mining analysis of OR/MS reviews," Omega, Elsevier, vol. 100(C).
- Shawn Mankad & George Michailidis & Andrei Kirilenko, 2019. "On the formation of Dodd-Frank Act derivatives regulations," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-19, March.
- Abhinav Khare & Qing He & Rajan Batta, 2020. "Predicting gasoline shortage during disasters using social media," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(3), pages 693-726, September.
- Adel Daoud & Sebastian Kohl, 2015. "Is there a New Economic Sociology Effect? A Topic Model on the Economic Orientation of Sociology, 1890 to 2014," Working Papers 1520, New School for Social Research, Department of Economics.
- Arzu Tugce Guler & Cathelijn J. F. Waaijer & Magnus Palmblad, 2016. "Scientific workflows for bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 385-398, May.
- Abhinav Khare & Qing He & Rajan Batta, 0. "Predicting gasoline shortage during disasters using social media," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 0, pages 1-34.
- Lehotský, Lukáš & Černoch, Filip & Osička, Jan & Ocelík, Petr, 2019. "When climate change is missing: Media discourse on coal mining in the Czech Republic," Energy Policy, Elsevier, vol. 129(C), pages 774-786.
- Sun, Katherine Qianwen & Slepian, Michael L., 2020. "The conversations we seek to avoid," Organizational Behavior and Human Decision Processes, Elsevier, vol. 160(C), pages 87-105.
- Rieger, Jonas & von Nordheim, Gerret, 2021. "corona100d: German-language Twitter dataset of the first 100 days after Chancellor Merkel addressed the coronavirus outbreak on TV," DoCMA Working Papers 4, TU Dortmund University, Dortmund Center for Data-based Media Analysis (DoCMA).
More about this item
Keywords
Topic model; Text mining; Data visualization; Reproducible and collaborative research;All these keywords.
Statistics
Access and download statisticsCorrections
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:eee:joinma:v:40:y:2017:i:c:p:52-72. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Nithya Sathishkumar). General contact details of provider: https://www.journals.elsevier.com/journal-of-interactive-marketing/ .
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 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.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.