IDEAS home Printed from https://ideas.repec.org/r/oup/jconrs/v32y2005i2p260-265.html
   My bibliography  Save this item

Posting versus Lurking: Communicating in a Multiple Audience Context

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Leban, Marina & Seo, Yuri & Voyer, Benjamin G., 2020. "Transformational effects of social media lurking practices on luxury consumption," Journal of Business Research, Elsevier, vol. 116(C), pages 514-521.
  2. Lianren Wu & Jinjie Li & Jiayin Qi & Deli Kong & Xu Li, 2021. "The Role of Opinion Leaders in the Sustainable Development of Corporate-Led Consumer Advice Networks: Evidence from a Chinese Travel Content Community," Sustainability, MDPI, vol. 13(19), pages 1-20, October.
  3. de Vries, Lisette & Gensler, Sonja & Leeflang, Peter S.H., 2012. "Popularity of Brand Posts on Brand Fan Pages: An Investigation of the Effects of Social Media Marketing," Journal of Interactive Marketing, Elsevier, vol. 26(2), pages 83-91.
  4. Guiyang Xiong & Sundar Bharadwaj, 2014. "Prerelease Buzz Evolution Patterns and New Product Performance," Marketing Science, INFORMS, vol. 33(3), pages 401-421, May.
  5. Yipu Deng & Jinyang Zheng & Warut Khern-am-nuai & Karthik Kannan, 2022. "More than the Quantity: The Value of Editorial Reviews for a User-Generated Content Platform," Management Science, INFORMS, vol. 68(9), pages 6865-6888, September.
  6. Bin Guo & Shasha Zhou, 2017. "What makes population perception of review helpfulness: an information processing perspective," Electronic Commerce Research, Springer, vol. 17(4), pages 585-608, December.
  7. Kunpeng Zhang & Wendy Moe, 2021. "Measuring Brand Favorability Using Large-Scale Social Media Data," Information Systems Research, INFORMS, vol. 32(4), pages 1128-1139, December.
  8. Kawaf, Fatema & Istanbulluoglu, Doga, 2019. "Online fashion shopping paradox: The role of customer reviews and facebook marketing," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 144-153.
  9. Korschun, Daniel & Du, Shuili, 2013. "How virtual corporate social responsibility dialogs generate value: A framework and propositions," Journal of Business Research, Elsevier, vol. 66(9), pages 1494-1504.
  10. Sungwoo Choi & Anna S. Mattila, 2018. "The Effect of Experience Congruity on Repurchase Intention: The Moderating Role of Public Commitment," Service Science, INFORMS, vol. 10(2), pages 124-138, June.
  11. Matea Matic Sosic, 2019. "Examining Social Media Usage In The Context Of Consumer Behaviour," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, vol. 28(2), pages 553-566, december.
  12. Kumar, Jitender, 2019. "How psychological ownership stimulates participation in online brand communities? The moderating role of member type," Journal of Business Research, Elsevier, vol. 105(C), pages 243-257.
  13. S. Cicognani & P. Figini & M. Magnani, 2016. "Social Influence Bias in Online Ratings: A Field Experiment," Working Papers wp1060, Dipartimento Scienze Economiche, Universita' di Bologna.
  14. Arvind K. Tripathi & Young-Jin Lee & Amit Basu, 2022. "Analyzing the Impact of Public Buyer–Seller Engagement During Online Auctions," Information Systems Research, INFORMS, vol. 33(4), pages 1264-1286, December.
  15. Peng, Yala & Li, Jiajie & Xia, Hui & Qi, Siyuan & Li, Jianhong, 2015. "The effects of food safety issues released by we media on consumers’ awareness and purchasing behavior: A case study in China," Food Policy, Elsevier, vol. 51(C), pages 44-52.
  16. Xingyu Chen & Xing Li & Dai Yao & Zhimin Zhou, 2019. "Seeking the support of the silent majority: are lurking users valuable to UGC platforms?," Journal of the Academy of Marketing Science, Springer, vol. 47(6), pages 986-1004, November.
  17. Christoph Schneider & Markus Weinmann & Peter N.C. Mohr & Jan vom Brocke, 2021. "When the Stars Shine Too Bright: The Influence of Multidimensional Ratings on Online Consumer Ratings," Management Science, INFORMS, vol. 67(6), pages 3871-3898, June.
  18. Ana Babić Rosario & Kristine Valck & Francesca Sotgiu, 2020. "Conceptualizing the electronic word-of-mouth process: What we know and need to know about eWOM creation, exposure, and evaluation," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 422-448, May.
  19. Qian Wang & Michael Chau & Chih-Hung Peng & Eric W. T. Ngai, 2022. "Using the Anchoring Effect and the Cultural Dimensions Theory to Study Customers’ Online Rating Behaviors," Information Systems Frontiers, Springer, vol. 24(5), pages 1451-1463, October.
  20. Ertimur, Burçak & Gilly, Mary C., 2012. "So Whaddya Think? Consumers Create Ads and Other Consumers Critique Them," Journal of Interactive Marketing, Elsevier, vol. 26(3), pages 115-130.
  21. Yuchi Zhang & David Godes, 2018. "Learning from Online Social Ties," Marketing Science, INFORMS, vol. 37(3), pages 425-444, May.
  22. Topaloglu, Omer & Dass, Mayukh & Kumar, Piyush, 2017. "Does who we are affect what we say and when? Investigating the impact of activity and connectivity on microbloggers' response to new products," Journal of Business Research, Elsevier, vol. 77(C), pages 23-29.
  23. Chan, Haksin & Yang, Morgan X. & Zeng, Kevin J., 2022. "Bolstering ratings and reviews systems on multi-sided platforms: A co-creation perspective," Journal of Business Research, Elsevier, vol. 139(C), pages 208-217.
  24. Schweitzer, Fiona & Mai, Robert, 2022. "Does one rotten apple always spoil the barrel? The role of perceptions of empowerment when consumers observe destructive others in online co-creation activities," Journal of Business Research, Elsevier, vol. 152(C), pages 436-446.
  25. Puneet Manchanda & Grant Packard & Adithya Pattabhiramaiah, 2015. "Social Dollars: The Economic Impact of Customer Participation in a Firm-Sponsored Online Customer Community," Marketing Science, INFORMS, vol. 34(3), pages 367-387, May.
  26. Saeed Tajdini, 2023. "The effects of internet search intensity for products on companies’ stock returns: a competitive intelligence perspective," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(3), pages 352-365, September.
  27. Si Xie & Ghulam Rasool Madni, 2023. "Impact of Social Media on Young Generation’s Green Consumption Behavior through Subjective Norms and Perceived Green Value," Sustainability, MDPI, vol. 15(4), pages 1-15, February.
  28. Sam Ransbotham & Gerald C. Kane & Nicholas H. Lurie, 2012. "Network Characteristics and the Value of Collaborative User-Generated Content," Marketing Science, INFORMS, vol. 31(3), pages 387-405, May.
  29. Wendy W. Moe & David A. Schweidel, 2012. "Online Product Opinions: Incidence, Evaluation, and Evolution," Marketing Science, INFORMS, vol. 31(3), pages 372-386, May.
  30. Mosteller, Jill & Poddar, Amit, 2017. "To Share and Protect: Using Regulatory Focus Theory to Examine the Privacy Paradox of Consumers' Social Media Engagement and Online Privacy Protection Behaviors," Journal of Interactive Marketing, Elsevier, vol. 39(C), pages 27-38.
  31. Wang, Xia & Yu, Chunling & Wei, Yujie, 2012. "Social Media Peer Communication and Impacts on Purchase Intentions: A Consumer Socialization Framework," Journal of Interactive Marketing, Elsevier, vol. 26(4), pages 198-208.
  32. Makri, Katerina & Schlegelmilch, Bodo B., 2017. "Time orientation and engagement with social networking sites: A cross-cultural study in Austria, China and Uruguay," Journal of Business Research, Elsevier, vol. 80(C), pages 155-163.
  33. Hee Mok Park & Puneet Manchanda, 2015. "When Harry Bet with Sally: An Empirical Analysis of Multiple Peer Effects in Casino Gambling Behavior," Marketing Science, INFORMS, vol. 34(2), pages 179-194, March.
  34. Zhang, Ziqiong & Zhang, Zili & Yang, Yang, 2016. "The power of expert identity: How website-recognized expert reviews influence travelers' online rating behavior," Tourism Management, Elsevier, vol. 55(C), pages 15-24.
  35. Arun Kumar & Mrinalini Pandey, 2023. "Social Media and Impact of Altruistic Motivation, Egoistic Motivation, Subjective Norms, and EWOM toward Green Consumption Behavior: An Empirical Investigation," Sustainability, MDPI, vol. 15(5), pages 1-16, February.
  36. Liye Ma & Baohong Sun & Sunder Kekre, 2015. "The Squeaky Wheel Gets the Grease—An Empirical Analysis of Customer Voice and Firm Intervention on Twitter," Marketing Science, INFORMS, vol. 34(5), pages 627-645, September.
  37. Mohammad Zulfeequar Alam, 2017. "Exploring Shopper Insights of Social Media Use in Saudi Arabia," International Review of Management and Marketing, Econjournals, vol. 7(2), pages 326-333.
  38. Zobeidi, Tahereh & Komendantova, Nadejda & Yazdanpanah, Masoud, 2022. "Social media as a driver of the use of renewable energy: The perceptions of instagram users in Iran," Energy Policy, Elsevier, vol. 161(C).
  39. Zhijie Lin & Ying Zhang & Yong Tan, 2019. "An Empirical Study of Free Product Sampling and Rating Bias," Service Science, INFORMS, vol. 30(1), pages 260-275, March.
  40. Elina H. Hwang & David Krackhardt, 2020. "Online Knowledge Communities: Breaking or Sustaining Knowledge Silos?," Production and Operations Management, Production and Operations Management Society, vol. 29(1), pages 138-155, January.
  41. Henry Eyring, 2020. "Disclosing Physician Ratings: Performance Effects and the Difficulty of Altering Ratings Consensus," Journal of Accounting Research, Wiley Blackwell, vol. 58(4), pages 1023-1067, September.
  42. Young Joon Park & Jaewoo Joo & Charin Polpanumas & Yeujun Yoon, 2021. "“Worse Than What I Read?” The External Effect of Review Ratings on the Online Review Generation Process: An Empirical Analysis of Multiple Product Categories Using Amazon.com Review Data," Sustainability, MDPI, vol. 13(19), pages 1-22, September.
  43. Young-Jin Lee & Kartik Hosanagar & Yong Tan, 2015. "Do I Follow My Friends or the Crowd? Information Cascades in Online Movie Ratings," Management Science, INFORMS, vol. 61(9), pages 2241-2258, September.
  44. Filieri, Raffaele, 2015. "What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM," Journal of Business Research, Elsevier, vol. 68(6), pages 1261-1270.
  45. Casaló, Luis V. & Flavián, Carlos & Ibáñez-Sánchez, Sergio, 2020. "Influencers on Instagram: Antecedents and consequences of opinion leadership," Journal of Business Research, Elsevier, vol. 117(C), pages 510-519.
  46. Chong (Alex) Wang & Xiaoquan (Michael) Zhang & Il-Horn Hann, 2018. "Socially Nudged: A Quasi-Experimental Study of Friends’ Social Influence in Online Product Ratings," Information Systems Research, INFORMS, vol. 29(3), pages 641-655, September.
  47. Fruth Andreas & Monica Neacsu, 2014. "Online Consumer Reviews as Marketing Instrument," Knowledge Horizons - Economics, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 6(3), pages 128-131, September.
  48. Md. Moddassir Alam & Abdalwali Lutfi & Abdallah Alsaad, 2023. "Antecedents and Consequences of Customers’ Engagement with Pro-Environmental Consumption-Related Content on Social Media," Sustainability, MDPI, vol. 15(5), pages 1-16, February.
  49. Septianto, Felix & Northey, Gavin & Chiew, Tung Moi & Ngo, Liem Viet, 2020. "Hubristic pride & prejudice: The effects of hubristic pride on negative word-of-mouth," International Journal of Research in Marketing, Elsevier, vol. 37(3), pages 621-643.
  50. Ina Garnefeld & Sabrina Helm & Ann-Kathrin Grötschel, 2020. "May we buy your love? psychological effects of incentives on writing likelihood and valence of online product reviews," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(4), pages 805-820, December.
  51. Gordon Burtch & Anindya Ghose & Sunil Wattal, 2013. "An Empirical Examination of the Antecedents and Consequences of Contribution Patterns in Crowd-Funded Markets," Information Systems Research, INFORMS, vol. 24(3), pages 499-519, September.
  52. Yi-Chun (Chad) Ho & Junjie Wu & Yong Tan, 2017. "Disconfirmation Effect on Online Rating Behavior: A Structural Model," Information Systems Research, INFORMS, vol. 28(3), pages 626-642, September.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.