For a Fee: The Impact of Information Pricing Strategy on the Pattern and Effectiveness of Word-of-Mouth via Social Media

With the new realities of the digital age, print newspapers are experimenting with different pricing models for their online content. Using NYT’s paywall rollout as a natural experiment, our study finds that a firm’s information pricing policy influences the pattern and effectiveness of online word of mouth (WOM) in social media. Using difference-in-difference-indifferences analysis, we find that implementing a paywall (i.e., charging for the content which was earlier available for free) has a disproportionate impact on WOM for popular and niche articles, creating a longer tail in the content sharing distribution. Further, we find that the impact of WOM on NYT’s website traffic weakens significantly after the introduction of NYT’s paywall. These results show that information pricing strategy has implications for product and promotion strategies. The study offers novel and important implications for the theory and practice of strategic use of social media and information pricing strategy.

[1]  Lorin M. Hitt,et al.  Customized Bundle Pricing for Information Goods: A Nonlinear Mixed-Integer Programming Approach , 2008, Manag. Sci..

[2]  Rajiv M. Dewan,et al.  Management and Valuation of Advertisement-Supported Web Sites , 2002, J. Manag. Inf. Syst..

[3]  Michael D. Smith,et al.  How Video Rental Patterns Change as Consumers Move Online , 2012, Manag. Sci..

[4]  David Godes,et al.  Using Online Conversations to Study Word-of-Mouth Communication , 2004 .

[5]  Erik Brynjolfsson,et al.  Goodbye Pareto Principle, Hello Long Tail: The Effect of Search Costs on the Concentration of Product Sales , 2011, Manag. Sci..

[6]  I. Simonson The Effect of Purchase Quantity and Timing on Variety-Seeking Behavior , 1990 .

[7]  Dylan Walker,et al.  Creating Social Contagion Through Viral Product Design: A Randomized Trial of Peer Influence in Networks , 2010, ICIS.

[8]  C. Anderson,et al.  Free: The Future of a Radical Price , 2009 .

[9]  Kartik Hosanagar,et al.  Blockbuster Culture's Next Rise or Fall: The Impact of Recommender Systems on Sales Diversity , 2007, Manag. Sci..

[10]  Erik Brynjolfsson,et al.  Consumer Surplus in the Digital Economy: Estimating the Value of Increased Product Variety at Online Booksellers , 2003, Manag. Sci..

[11]  Chrysanthos Dellarocas,et al.  Are Consumers More Likely to Contribute Online Reviews for Hit or Niche Products? , 2010, J. Manag. Inf. Syst..

[12]  Andrew Gelman,et al.  Data Analysis Using Regression and Multilevel/Hierarchical Models , 2006 .

[13]  Andrew B. Whinston,et al.  Chatter Matters: How Twitter Can Open the Black Box of Online Word-of-Mouth , 2010, ICIS.

[14]  R. Picard Changing business models of online content services: Their implications for multimedia and other content producers , 2000 .

[15]  P. Danaher Optimal Pricing of New Subscription Services: Analysis of a Market Experiment , 2002 .

[16]  Anita Elberse Should You Invest in the Long Tail , 2008 .

[17]  Bart J. Bronnenberg,et al.  Advertising versus pay-per-view in electronic media , 2003 .

[18]  P. Nelson Information and Consumer Behavior , 1970, Journal of Political Economy.

[19]  Yong Tan,et al.  Social Networks and the Diffusion of User-Generated Content: Evidence from YouTube , 2012, Inf. Syst. Res..

[20]  Paul A. Pavlou,et al.  Why Do Online Product Reviews Have a J-Shaped Distribution? Overcoming Biases in Online Word-of-Mouth Communication , 2007 .

[21]  X. Zhang,et al.  Impact of Online Consumer Reviews on Sales: The Moderating Role of Product and Consumer Characteristics , 2010 .

[22]  Vidyanand Choudhary,et al.  Use of Pricing Schemes for Differentiating Information Goods , 2010, Inf. Syst. Res..

[23]  Arun Sundararajan,et al.  Nonlinear Pricing of Information Goods , 2002, Manag. Sci..

[24]  Bernard J. Jansen,et al.  Twitter power: Tweets as electronic word of mouth , 2009 .

[25]  William N. McPhee,et al.  Formal theories of mass behavior , 1964 .

[26]  Yong Liu Word-of-Mouth for Movies: Its Dynamics and Impact on Box Office Revenue , 2006 .

[27]  Bernard J. Jansen,et al.  Twitter power: Tweets as electronic word of mouth , 2009, J. Assoc. Inf. Sci. Technol..

[28]  Katherine L. Milkman,et al.  What Makes Online Content Viral? , 2012 .

[29]  R. Armstrong The Long Tail: Why the Future of Business Is Selling Less of More , 2008 .

[30]  Sungjune Park,et al.  Optimal Pricing of Digital Experience Goods Under Piracy , 2007, J. Manag. Inf. Syst..

[31]  Sridhar Seshadri,et al.  Product Development and Pricing Strategy for Information Goods Under Heterogeneous Outside Opportunities , 2007, Inf. Syst. Res..

[32]  P. Bone Word-of-mouth effects on short-term and long-term product judgments , 1995 .

[33]  Jie Jennifer Zhang,et al.  Social Media and Firm Equity Value , 2013, Inf. Syst. Res..

[34]  Erik Brynjolfsson,et al.  Research Commentary - Long Tails vs. Superstars: The Effect of Information Technology on Product Variety and Sales Concentration Patterns , 2010, Inf. Syst. Res..

[35]  Geoffrey J. McLachlan,et al.  Finite Mixture Models , 2019, Annual Review of Statistics and Its Application.

[36]  Yannis Bakos,et al.  Bundling Information Goods: Pricing, Profits and Efficiency , 1998 .

[37]  Hsiang Iris Chyi,et al.  Willingness to Pay for Online News: An Empirical Study on the Viability of the Subscription Model , 2005 .

[38]  Sinan Aral,et al.  Tie Strength, Embeddedness & Social Influence: Evidence from a Large Scale Networked Experiment , 2013 .

[39]  Jui Ramaprasad,et al.  Research Note - Music Blogging, Online Sampling, and the Long Tail , 2012, Inf. Syst. Res..

[40]  Shivendu Shivendu,et al.  Managing Piracy: Pricing and Sampling Strategies for Digital Experience Goods in Vertically Segmented Markets , 2003, Inf. Syst. Res..

[41]  Dale A. Stirling,et al.  Information rules , 2003, SGMD.

[42]  Bin Gu,et al.  Do online reviews matter? - An empirical investigation of panel data , 2008, Decis. Support Syst..

[43]  Ling Liu,et al.  Manipulation of online reviews: An analysis of ratings, readability, and sentiments , 2012, Decis. Support Syst..