473
Views
5
CrossRef citations to date
0
Altmetric
Original Articles

How Does Sentiment Content of Product Reviews Make Diffusion Different?

, & ORCID Icon

References

  • Abbasi A, Chen H. Cybergate: a design framework and system for text analysis of computer-mediated communication. MIS Q. 2008;32(4):811–837.
  • Agarwal R, Prasad J. The role of innovation characteristics and perceived voluntariness in the acceptance of information technologies. Decis Sci. 1997;28(3):557–582.
  • Andrade EB. Behavioral consequences of affect: combining evaluative and regulatory mechanisms. J Consum Res. 2005;32(3):355–362.
  • Bass FM. A new product growth for model consumer durables. Manage Sci. January 1, 1969;15(5):215–227.
  • Berger J, Milkman KL. What makes online content viral? J Marketing Res (JMR). 2012;49(2):192–205.
  • Bickart B, Schindler R. M. Internet forums as influential sources of consumer information. J Interact Marketing. 2001;15(3):31–40.
  • Bollen J, Mao H, Pepe A. Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena. Proceedings of the Fifth International AAAI; 2011; Barcelona, Spain.
  • Breitung J. The local power of some unit root tests for panel data. Adv Econometrics. 2000;15:161–177.
  • Brynjolfsson E, Kemerer CF. Network externalities in microcomputer software: an econometric analysis of the spreadsheet market. Institute for Operations Research and the Management Sciences; 1996.
  • Cao Q, Duan W, Gan Q. Exploring determinants of voting for the “helpfulness” of online user reviews: a text mining approach. Decis Support Syst. 2011;50(2):511–521.
  • Chau M, Xu J. Business intelligence in blogs: understanding consumer interactions and communities. MIS Q. 2012;36(4):1189–1216.
  • Chevalier JA, Mayzlin D. The effect of word of mouth on sales: online book reviews. J Marketing Res 2006;43(3):345–354.
  • Dellarocas C, Gao G, Narayan R. Are consumers more likely to contribute online reviews for hit or niche products? J Manage Inf Syst. 2010;27(2):127–157.
  • Dellarocas C, Zhang X, Awad N. Exploring the value of online product reviews in forecasting sales: the case of motion pictures. J Interact Marketing. 2007;21(4):23–45.
  • Duan W, Gu B, Whinston AB. Informational cascades and software adoption on the internet: an empirical investigation. MIS Q. 2009;33(1):23–48.
  • Fichman RG, Kemerer CF. Toward a theory of the adoption and diffusion of software process innovations. In: Levine L, editor. Diffusion, Transfer and Implementation of Information Technology. North Holland: Elsevier; 1994. p. 23–30.
  • Garber T, Goldenberg J, Libai B, Muller E. From density to destiny: using spatial dimension of sales data for early prediction of new product success. Marketing Sci. 2004;23(3):419–428.
  • Garg R, Smith MD, Telang R. Measuring information diffusion in an online community. J Manage Inf Syst. 2011;28(2):11–38.
  • Goh K-Y, Heng C-S, Lin Z. Social media brand community and consumer behavior: quantifying the relative impact of user- and marketer-generated content. Inf Syst Res. 2013;24(1):88–107.
  • Granger CW. Investigating causal relations by econometric models and cross-spectral methods. Econometrica: JEconometric Soc. 1969;37:424–438.
  • Greifeneder R, Bless H, Pham MT. When do people rely on affective and cognitive feelings in judgment? A review. Personality Social Psychol Rev. 2011;15(2):107–141.
  • Gu B, Park J, Konana P. The impact of external word-of-mouth sources on retailer sales of high-involvement products. Inf Syst Res. 2012;23(1):182–196.
  • Hill RC, Griffiths WE, Lim GC. Principles of econometrics. Hoboken, NJ: Wiley; 2011.
  • Johansen S. Statistical analysis of cointegration vectors. J Econ Dyn Control. 1988;12(2)231–254.
  • Johansen S, Mosconi, R Nielsen B. Cointegration analysis in the presence of structural breaks in the deterministic trend. Econometrics J. 2000;3(2):216–249.
  • Kaplan AM, Haenlein M. Users of the world, unite! The challenges and opportunities of Social Media. Bus Horiz. 2010;53(1):59–68.
  • Kozinets RV, de Valck K, Wojnicki AC, Wilner SJS. Networked narratives: understanding word-of-mouth marketing in online communities. J Marketing. 2010; 74(2):71–89.
  • Lau-Gesk L. and Meyers-Levy J. Emotional persuasion: when the valence versus the resource demands of emotions influence consumers’ attitudes. J Consum Res. 2009;36(4):585–599.
  • Liu Y. Word of mouth for movies: its dynamics and impact on box office revenue. J Marketing. 2006;70(3):74–89.
  • Ludwig S, de Ruyter K, Friedman M, Brüggen EC, Wetzels M, Pfann G. More than words: the influence of affective content and linguistic style matches in online reviews on conversion rates. J Marketing. 2013;77(1):87–103.
  • Mahajan V, Muller E, Wind Y. New-product diffusion models. New York: Springer Science & Business Media; 2000.
  • Mahajan V, Peterson R. Models for innovation diffusion. Thousand Oaks, CA: Sage Publications; 1985.
  • Moe WW, Trusov M. The value of social dynamics in online product ratings forums. J Marketing Res (JMR). 2011;48(3):444–456.
  • Mudambi SM, Schuff D. What makes a helpful online review? A study of customer reviews on Amazon.Com. MIS Q. 2010;34(1):185–200.
  • Pan Y, Zhang JQ. Born unequal: a study of the helpfulness of user-generated product reviews. J Retailing. 2011;87(4):598–612.
  • Rogers E. Diffusion of innovations. New York: The Free Press; 1983.
  • Schweidel DA, Moe WW, Boudreaux C. Social media intelligence: measuring brand sentiment from online conversations. 2011. http://dx.doi.org/10.2139/ssrn.1874892
  • Stacey E, Pauwels H, Lackman A. Beyond likes and tweets: marketing, social media content, and store performance. The Center for Measurable Marketing. 2013; Report 13–125.
  • Susarla A, Oh J.-H, Tan Y. Social networks and the diffusion of user-generated content: evidence from YouTube. Inf Syst Res. 2012;23(1):23–41.
  • Tirunillai S, Tellis GJ. Does chatter really matter? Dynamics of user-generated content and stock performance. Marketing Sci. 2012;31(2):198–215.
  • Wood SL, Moreau CP. From fear to loathing? How emotion influences the evaluation and early use of innovations. J Market. 2006;70(3):44–57.
  • Zhu F, Zhang X. Impact of online consumer reviews on sales: the moderating role of product and consumer characteristics. J Market. 2010;74(2):133–148.

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.