459
Views
12
CrossRef citations to date
0
Altmetric
Articles

Examining the power-law distribution among eWOM communities: a characterisation approach of the Long Tail

, &
Pages 601-613 | Received 06 Feb 2015, Accepted 12 Nov 2015, Published online: 18 Dec 2015

References

  • Aarstad, J. 2014. “Possible Suboptimal Diffusions of Technological Innovations in Clustered Scale-free Networks.” Technology Analysis & Strategic Management 26 (3): 267–277. doi: 10.1080/09537325.2013.850655
  • Adamic, L. A., and B. A. Huberman. 2000. “Power-law Distribution of the World Wide Web.” Science 287 (5461): 2115–2115. doi: 10.1126/science.287.5461.2115a
  • Alanah, D., and D. Khazanchi. 2008. “An Empirical Study of Online Word of Mouth as a Predictor for Multi-product Category e-Commerce Sales.” Electronic Markets 18 (2): 130–141. doi: 10.1080/10196780802044776
  • Anderson, C. 2004. “The Long Tail.” Wired Magazine 12.10.
  • Anderson, C. 2008. Long Tail: Why the Future of Business is Selling Less of More. New York: Hyperion Books.
  • Arenas Márquez, F. J., M. R. Martínez-Torres, and S. L. Toral. 2014. “Electronic Word-of-mouth Communities from the Perspective of Social Network Analysis.” Technology Analysis & Strategic Management 26 (8): 927–942. doi: 10.1080/09537325.2014.923565
  • Bickart, B., and R. M. Schindler. 2001. “Internet Forums as Influential Sources of Consumer Information.” Journal of Interactive Marketing 15 (3): 31–40. doi: 10.1002/dir.1014
  • Breslau, L., P. Cao, L. Fan, G. Phillips, and S. Shenker. 1999. “Web caching and Zipf-like distributions: Evidence and implications.” INFOCOM'99. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings, 126–134. New York: IEEE.
  • Brynjolfsson, E., Y. Hu, and D. Simester. 2011. “Goodbye Pareto Principle, Hello Long Tail: The Effect of Search Costs on the Concentration of Product Sales.” Management Science 57 (8): 1373–1386. doi: 10.1287/mnsc.1110.1371
  • Brynjolfsson, E., Y. Hu, and M. D. Smith. 2003. “Consumer Surplus in the Digital Economy: Estimating the Value of Increased Product Variety at Online Booksellers.” Management Science 49 (11): 1580–1596. doi: 10.1287/mnsc.49.11.1580.20580
  • Brynjolfsson, Erik, Yu Jeffrey Hu, and Michael D. Smith. 2006. “From Niches to Riches: The Anatomy of the Long Tail.” MIT Sloan Management Review 47: 67–71.
  • Brynjolfsson, E., Y. Hu, and M. D. Smith. 2010a. “Research Commentary-long Tails vs. Superstars: The Effect of Information Technology on Product Variety and Sales Concentration Patterns.” Information Systems Research 21 (4): 736–747. doi: 10.1287/isre.1100.0325
  • Brynjolfsson, E., Y. J. Hu, and M. D. Smith. 2010b. “The Longer Tail: The Changing Shape of Amazon's Sales Distribution Curve.” Available at SSRN 1679991.
  • Cha, M., P. Rodriguez, J. Crowcroft, S. Moon, and X. Amatriain. 2008. “Watching Television over an IP Network.” Proceedings of the 8th ACM SIGCOMM conference on Internet measurement, 71–84. New York: ACM.
  • Cheng, X., and M. Zhou. 2010. “Study on Effect of eWOM: A Literature Review and Suggestions for Future Research.” International Conference on Management and Service Science 1–4.
  • Clauset, A., C. R. Shalizi, and M. E. Newman. 2009. “Power-law Distributions in Empirical Data.” SIAM Review 51 (4): 661–703. doi: 10.1137/070710111
  • Duan, W., B. Gu, and A. B. Whinston. 2008. “Do Online Reviews Matter? An Empirical Investigation of Panel Data.” Decision Support Systems 45 (4): 1007–1016. doi: 10.1016/j.dss.2008.04.001
  • Dwyer, P. 2007. “Measuring the Value of Electronic Word of Mouth and its Impact in Consumer Communities.” Journal of Interactive Marketing 21 (2): 63–79. doi: 10.1002/dir.20078
  • Elberse, A. 2008. “Should You Invest in the Long Tail?” Harvard Business Review 86 (7/8): 88–96.
  • Elberse, A., and F. Oberholzer-Gee. 2007. “Superstars and Underdogs: An Examination of the Long Tail Phenomenon in Video Sales.” Hardvard Business School (Division of Research, Harvard Business School) Working Paper Series 7–15.
  • Goldsmith, R. E. 2008. “Electronic Word-of-Mouth.” In Electronic Commerce: Concepts, Methodologies, Tools, and Applications, edited by A. Becker, 2143–2149. Hershey, PA: Information Science Reference. doi: 10.4018/978-1-59904-943-4.ch164
  • Goldsmith, R. E., and D. Horowitz. 2006. “Measuring Motivations for Online Opinion Seeking.” Journal of Interactive Advertising 6 (2): 2–14. doi: 10.1080/15252019.2006.10722114
  • Gu, B., Q. Tang, and A. B. Whinston. 2013. “The Influence of Online Word-of-mouth on Long Tail Formation.” Decision Support Systems 56: 474–481. doi: 10.1016/j.dss.2012.11.004
  • Hennig-Thurau, T., K. P. Gwinner, G. Walsh, and D. D. Gremler. 2004. “Electronic Word-of-mouth via Consumer-opinion Platforms: What Motivates Consumers to Articulate Themselves on the Internet?” Journal of Interactive Marketing 18 (1): 38–52. doi: 10.1002/dir.10073
  • Huberman, B. A. 2003. The Laws of the Web: Patterns in the Ecology of Information. Cambridge, MA: MIT Press.
  • Jalilvand, M. R., S. S. Esfahani, and N. Samiei. 2011. “Electronic Word-of-mouth: Challenges and Opportunities.” Procedia Computer Science 3: 42–46. doi: 10.1016/j.procs.2010.12.008
  • Jansen, B. J., M. Zhang, K. Sobel, and A. Chowdury. 2009. “Twitter power: Tweets as Electronic Word of Mouth.” Journal of the American Society for Information Science and Technology 60 (11): 2169–2188. doi: 10.1002/asi.21149
  • Jiang, Q., C. H. Tan, C. W. Phang, J. Sutanto, and K. K. Wei. 2013. “Understanding Chinese Online users and their Visits to Websites: Application of Zipf's Law.” International Journal of Information Management 33 (5): 752–763. doi: 10.1016/j.ijinfomgt.2013.05.006
  • Khammash, M., and G. H. Griffiths. 2011. “Arrivederci CIAO.com, Buongiorno Bing. com’—Electronic word-of-mouth (eWOM), Antecedences and Consequences.” International Journal of Information Management 31 (1): 82–87. doi: 10.1016/j.ijinfomgt.2010.10.005
  • Kim, H. W., and S. Gupta. 2009. “A Comparison of Purchase Decision Calculus between Potential and Repeat Customers of an Online Store.” Decision Support Systems 47 (4): 477–487. doi: 10.1016/j.dss.2009.04.014
  • Kumar, C., J. B. Norris, and Y. Sun. 2009. “Location and Time do Matter: A Long Tail Study of Website Requests.” Decision Support Systems 47 (4): 500–507. doi: 10.1016/j.dss.2009.04.015
  • Lee, J., J.-N. Lee, and H. Shin. 2011. “The Long Tail or the Short Tail: The Category-specific Impact of eWOM on Sales Distribution.” Decision Support Systems 51 (3): 466–479. doi: 10.1016/j.dss.2011.02.011
  • Li, X., Y. Xu, Y. Zhang, and J. Shi. 2012. “Long Tail Distribution in the Web Usage of a Chinese Learning Website.” Proc. 2012 International Symposium on Information Science and Engineering (ISISE), 64–67. Shanghai: IEEE.
  • Lis, B. 2013. “In eWOM We Trust.” Business & Information Systems Engineering 5 (3): 129–140. doi: 10.1007/s12599-013-0261-9
  • Mahanti, A., N. Carlsson, M. Arlitt, and C. Williamson. 2013. “A Tale of the Tails: Power-laws in Internet Measurements.” IEEE Network 27 (1): 59–64. doi: 10.1109/MNET.2013.6423193
  • Martínez-Torres, M. R. 2014. “Analysis of Open Innovation Communities from the Perspective of Social Network Analysis.” Technology Analysis & Strategic Management 26 (4): 435–451. doi: 10.1080/09537325.2013.851378
  • Martínez-Torres, M. R. 2015. “Content Analysis of Open Innovation Communities using Latent Semantic Indexing.” Technology Analysis & Strategic Management, 27 (7): 859–875. doi: 10.1080/09537325.2015.1020056
  • Martínez-Torres, M. R., and M. C. Díaz-Fernández. 2013. “A Study of Global and Local Visibility as Web Indicators of Research Production.” Research Evaluation 22 (3): 157–168. doi: 10.1093/reseval/rvt003
  • McKelvey, B., and P. Andriani. 2005. “Why Gaussian Statistics are Mostly Wrong for Strategic Organization.” Strategic Organization 3 (2): 219–228. doi: 10.1177/1476127005052700
  • Mitzenmacher, M. 2004. “A Brief History of Generative Models for Power Law and Lognormal Distributions.” Internet Mathematics 1 (2): 226–251. doi: 10.1080/15427951.2004.10129088
  • Odić, A., M. Tkalčič, J. F. Tasič, and A. Košir. 2013. “Predicting and Detecting the Relevant Contextual Information in a Movie-recommender System.” Interacting with Computers 25 (1): 74–90.
  • Peltier, S., and F. Moreau. 2012. “Internet and the ‘Long Tail versus Superstar Effect’ Debate: Evidence from the French Book Market.” Applied Economics Letters 19 (8): 711–715. doi: 10.1080/13504851.2011.597714
  • Phelps, J. E., R. Lewis, L. Mobilio, D. Perry, & N. Raman. 2004. “Viral Marketing or Electronic Word-of-mouth Advertising: Examining Consumer Responses and Motivations to Pass along Email.” Journal of Advertising Research 44 (4): 333–348. doi: 10.1017/S0021849904040371
  • Phillipa, G., M. Arlitt, Z. Li, and A. Mahanti. 2007. “YouTube Traffic Characterization: A View from the Edge.” Proceedings of the 7th ACM SIGCOMM conference on Internet Measurement. New York: ACM, 15–28.
  • Pineda, E. B., E. L. de Alvarado, and F. H. de Canales. 1994. “Metodología de la investigación: Manual para el desarrollo de personal de salud.” OPS, 1994.
  • Qiu, L., J. Pang, and K. H. Lim. 2012. “Effects of Conflicting Aggregated Rating on eWOM Review Credibility and Diagnosticity: The Moderating Role of Review Valence.” Decision Support Systems 54 (1): 631–643. doi: 10.1016/j.dss.2012.08.020
  • Redner, S. 1998. “How Popular is Your Paper? An Empirical Study of the Citation Distribution.” The European Physical Journal B-Condensed Matter and Complex Systems 4 (2): 131–134. doi: 10.1007/s100510050359
  • Richins, M. L., and T. Root-Shaffer. 1998. “The Role of Evolvement and Opinion Leadership in Consumer Word-of-mouth: An Implicit Model Made Explicit.” Advances in Consumer Research 15 (1): 32–36.
  • Rogers, E. M., and D. G. Cartano. 1962. “Living Research Methods of Measuring Opinion Leadership.” Public Opinion Quarterly 26 (3): 435–441. doi: 10.1086/267118
  • Shuang, Y. 2013. “Effects of Information Quality and Source Credibility on EWOM Adoption in Context of Virtual Community.” Proc. International Conference on Management Science and Engineering, 194–200. Harbin: IEEE.
  • Standifird, S. S. 2001. “Reputation and Ecommerce: eBay Auction and the Asymmetrical Impact of Positive and Negative Ratings.” Journal of Management 27 (3): 279–295. doi: 10.1177/014920630102700304
  • Sun, T., S. Youn, G. Wu, and M. Kuntaraporn. 2006. “Online Word-of-Mouth (or Mouse): An Exploration of Its Antecedents and Consequences.” Journal of Computer-Mediated Communication 11 (4): 1104–1127. doi: 10.1111/j.1083-6101.2006.00310.x
  • Zacharia, G., A. Moukas, and P. Maes. 2000. “Collaborative Reputation Mechanisms for Electronic Marketplaces.” Decision Support Systems 29 (4): 371–388. doi: 10.1016/S0167-9236(00)00084-1
  • Zhang, J. Q., G. Craciun, and D. Shin. 2010. “When Does Electronic Word-of-mouth Matter? A Study of Consumer Product Reviews.” Journal of Business Research 63 (12): 1336–1341. doi: 10.1016/j.jbusres.2009.12.011

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.