Online Social Interactions: A Natural Experiment on Word of Mouth versus Observational Learning

Journal of Marketing Research - Tập 48 Số 2 - Trang 238-254 - 2011
Yubo Chen1, Qi Wang2, Jinhong Xie3
1Eller College of Management, University of Arizona
2School of Management, State University of New York at Binghamton.
3Warrington College of Business Administration, University of Florida

Tóm tắt

Consumers’ purchase decisions can be influenced by others’ opinions, or word of mouth (WOM), and/or others’ actions, or observational learning (OL). Although information technologies are creating increasing opportunities for firms to facilitate and manage these two types of social interaction, to date, researchers have encountered difficulty in disentangling their competing effects and have provided limited insights into how these two social influences might differ from and interact with each other. Using a unique natural experimental setting resulting from information policy shifts at the online seller Amazon.com , the authors design three longitudinal, quasi-experimental field studies to examine three issues regarding the two types of social interaction: (1) their differential impact on product sales, (2) their lifetime effects, and (3) their interaction effects. An intriguing finding is that while negative WOM is more influential than positive WOM, positive OL information significantly increases sales, but negative OL information has no effect. This suggests that reporting consumer purchase statistics can help mass-market products without hurting niche products. The results also reveal that the sales impact of OL increases with WOM volume.

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Tài liệu tham khảo

10.1086/209080

Anderson Chris, 2006, The Long Tail: Why the Future of Business Is Selling Less of More.

10.1177/109467059800100102

10.1177/002224376700400308

10.1080/15213260709336804

Bandura Albert, 1977, Social Learning Theory.

10.2307/2118364

10.1086/261791

10.1007/s11129-007-9025-5

10.1086/261849

10.1257/jep.12.3.151

Bikhchandani Sushil, 2001, IMF Staff Papers, 47, 279, 10.2307/3867650

10.1509/jmkr.38.3.281.18863

10.1257/aer.99.3.864

10.1287/mksc.1040.0089

10.1287/mnsc.1070.0810

10.1509/jmkr.43.3.345

Choi JeongHye, 2007, “Spatio-Temporal Analysis of Imitation Behavior in Adoption of an Online Grocery Retailer,”

Cialdini R.B., 1998, The Handbook of Social Psychology, 4, 151

10.1017/CBO9780511802843

DeLamater John, 2004, Handbook of Social Psychology.

10.1023/A:1011164710951

10.1037/0021-9010.73.3.421

Godes David, 2004, “Firm-Created Word-of-Mouth Communication: A Field-Based Quasi-Experiment,”

10.1287/mksc.1040.0071

10.1007/s11002-005-5902-4

Grinblatt Mark, 2005, “Interpersonal Effects in Consumption: Evidence from the Automobile Purchases of Neighbors,”

Guo Liang, 2007, “Social Communication and Durable Goods Pricing,”

10.1007/BF00435537

10.2307/1913827

10.1086/208570

10.1177/002224298905300201

10.1509/jmkg.70.3.074

10.1177/002224379002700104

10.1257/jep.14.3.115

10.1177/002224379102800302

Meyer Bruce, 1995, Journal of Business & Economic Statistics, 13, 151, 10.1080/07350015.1995.10524589

10.1353/bh.2000.0012

10.1086/208925

10.1177/074391569601500103

10.1287/mksc.1040.0094

10.1146/annurev.soc.32.061604.123150

Photo Marketing Association International, 2001, 2000 Digital Imaging Marketing Association Digital Imaging Consumer Survey.

10.1126/science.1121066

Shadish William, 2002, Experimental and Quasi-Experimental Designs for Generalized Causal Inference.

10.1509/jmkr.37.1.102.18721

Spors Kelly, 2006, The Wall Street Journal, R9

Tucker Catherin, 2009, “How Does Popularity Information Affect Choices? Theory and a Field Experiment,”

10.1086/320819

Weinberger M.G., 1980, Advances in Consumer Research, 7, 528

10.1111/j.1540-6261.1992.tb04406.x

Wooldridge Jeffery, 2002, Econometric Analysis of Cross Section and Panel Data.

10.1287/mksc.1090.0500

Zhao Min, 2010, “Effects of Social and Temporal Distance on Consumers’ Responses to Peer Recommendations,”