Modeling Consumers’ WOM (Word-Of-Mouth) Behavior with Subjective Evaluation and Objective Information on High-tech Products
2
조회
0
다운로드
3
인용
0
참고문헌
키워드
초록
Consumers influence other consumers’ brand choice behavior by delivering a variety of objective or subjective information on a particular product, which is called WOM (Word-Of-Mouth) activities. For WOM activities, WOM senders should choose messages to deliver to other consumers. We classify the contents of the messages a consumer chooses for WOM delivery into two categories: Subjective (positive or negative) evaluation and objective information on products. In our study, we regard WOM senders’ activities as a choice behavior and introduce a choice model to study the relationship between the choice of different WOM information (WOM with positive or negative subjective evaluation and WOM with objective information) and its influencing factors (information sources and consumer characteristics) by developing two bivariate Probit models. In order to consider the mediating effects of WOM senders’ product involvement, product attitude, and their characteristics (gender and age), we develop three second-level models for the propagation of positive evaluations, of negative evaluations, and of objective information on products in an hierarchical Bayesian modeling framework. Our empirical results show that WOM senders’ information choice behavior differs according to the types of information sources. The effects of information sources on WOM activities differ according to the types of WOM messages (subjective evaluation (positive or negative) and objective information). Therefore, our study concludes that WOM activities can be partially managed with effective communication plans influencing on consumers’ WOM message choice behavior. The empirical results provide some guidelines for consumers’ propagation of information on products companies want.
Abstract
Consumers influence other consumers’ brand choice behavior by delivering a variety of objective or subjective information on a particular product, which is called WOM (Word-Of-Mouth) activities. For WOM activities, WOM senders should choose messages to deliver to other consumers. We classify the contents of the messages a consumer chooses for WOM delivery into two categories: Subjective (positive or negative) evaluation and objective information on products. In our study, we regard WOM senders’ activities as a choice behavior and introduce a choice model to study the relationship between the choice of different WOM information (WOM with positive or negative subjective evaluation and WOM with objective information) and its influencing factors (information sources and consumer characteristics) by developing two bivariate Probit models. In order to consider the mediating effects of WOM senders’ product involvement, product attitude, and their characteristics (gender and age), we develop three second-level models for the propagation of positive evaluations, of negative evaluations, and of objective information on products in an hierarchical Bayesian modeling framework. Our empirical results show that WOM senders’ information choice behavior differs according to the types of information sources. The effects of information sources on WOM activities differ according to the types of WOM messages (subjective evaluation (positive or negative) and objective information). Therefore, our study concludes that WOM activities can be partially managed with effective communication plans influencing on consumers’ WOM message choice behavior. The empirical results provide some guidelines for consumers’ propagation of information on products companies want.
참고문헌 (39)
- "P&G Eyes the Influencer", Advertising Age, 74(46) (2003)
- Albert, James H, "Bayesian Analysis of Binary and Polychotomous Response Data", Journal of the American Statistical Association, 88(422), pp.669~679 (1993)
- Allenby, Greg M, "On the Heterogeneity of Demand", Journal of Marketing Research, 35, pp.384~389 (1998)
- "Word of Mouth", American Demographics, 17(7), pp.38~44 (1995)
- Ansari, Asim, "ECustomization", Journal of Marketing Research, 40, pp.135~145 (2002)
- "Make Your Product Memorable", Beverage Industry, 95(2) (2004)
- Brown, J. J, "Social Ties and Word-of-Mouth Referral Behavior", Journal of Consumer Research, 14(3), pp.350~362 (1987)
- Brown, Steven P, "Consumer Complaining and Word of Mouth Activities: Field Evidence", Advances in Consumer Research, 16, pp.9~16 (1989)
- Bucklin, Randolfh E, "A Model of Web Site Browsing Behavior Estimated on Clickstream Data", Journal of Marketing Research, 40(August), pp.249~267 (2003)
- Chung, Jaihak, "The Study on the effects of WOM on Consumers’ Choice Behavior", Korean Marketing Review, 19(2) (2004)
- Chung, Jaihak, "The Study on the effects of WOM on Consumers’ Choice Behavior", Journal of Consumer Studies, 16(2) (2005)
- Curren, Mary T, "Attributional Influences on Consumers’ Desires to Communicate about Products", Psychology and Marketing, 4(Spring), pp.31~45 (1987)
- Dobele, A, "Enhancing Word-of-Mouth Referrals", ANZMAC Conference (2003)
- Duhan. Dale F, "Influences on Consumer use of word-ofmouth Recommendation Sources", Journal of the Academy of Marketing Science, 25(4), pp.283~296 (1997)
- Feick, Lawrence F, "The Market Maven: A Diffuser of Marketplace Information", Journal of Marketing, 51, pp.83~97 (1987)
- Folkes, Valerie S, "Consumer Reactions to Product Failure: An Attributional Approach", Journal of Consumer Research, 10, pp.398~409 (1984)
- Gershoff, Andrew D, "Recommendation or Evaluation? Task Sensitivity in Information Source Selection", Journal of Consumer Research, 28, pp.418~438 (2001)
- Goodwin, Cathy, "Consumer Complaining: Attributions and Identities", Advances in Consumer Research, 16, pp.17~22 (1989)
- Gremler, Dwayne D, "Generating Positive word-of-mouth communication through customer employee relationships", International Journal of Service Industry Management, 12(1), pp.44~60 (2001)
- Herr, Paul M, "Effect of Word-of-Mouth and Product-Attribute Information on Persuasion: An Accessibility and Diagnosticity Perspective", Journal of Consumer Research, 17, pp.454~462 (1991)
- Hill, C. J, "Differences in the Consumer Decision Process for Professional vs. Generic Services", Journal of Service Marketing, 2(1), pp.17~23 (1988)
- Hoch,Stephen J, "Product Experience Is Seductive", Journal of Consumer Research, 20, pp.448~454 (2002)
- Johnson, Eric, "On the Depths and Dynamics of World Wide Web Shopping Behavior", Management Science, 50(3), pp.299~308 (2004)
- Jupiter Research, Inc, "A New Understanding of Customer Value", ~ (2000)
- King, Charles W, "Overlap of Opinion Leadership Across Consumer Product Categories", Journal of Marketing Research, 7, pp.43~50 (1970)
- Lowrey, Tina, "Research in Consumer Complaining and Word-of-Mouth Activities Discussant’s Comments", Advances in Consumer Research, 16, pp.30~32 (1989)
- Mahajan, Vijay, "Introduction Strategy for New Products with Positive and Negative Word-of-Mouth", Management Science, 30, pp.1389~1404 (1984)
- Mangold, W. Glynn, "Word-of-Mouth Communication in the Service Marketplace", The Journal of Service Marketing, 13(1), pp.73~89 (1999)
- Maxham III, "Service recovery’s influence on consumer satisfaction, positive word-of-mouth, and purchase intentions", Journal of Business Research, 54(1), pp.11~14 (2001)
- Maxham III, "Modeling customer perceptions of complaint handling over time: the effects of perceived justice on satisfaction and intent", Journal of Retailing, 78(winter), pp.239~243 (2002)
- Murray, Keith B, "The Impact of Services versus Goods on Consumers’ Assessment of Perceived Risk and Variability", Journal of the academy of Marketing Science, 18(1), pp.51~65 (1990)
- Murray,K.B, "A Test of Services Marketing Theory: Consumer Information Acquisition Activities", Journal of Marketing, 55, pp.10~25 (1991)
- Ranaweera, Chatura, "On the Relative Importance of Customer Satisfaction and Trust as Determinants of Customer Retention and Positive Word-of-Mouth", Journal of Targeting, Measurement and Analysis for Marketing, 12(1), pp.82~90 (2003)
- Richins, Marsha L, "Negative word-of- Mouth by Dissatisfied Consumer: A Pilot Study", Journal of Marketing, 47(Winter), pp.68~78 (1983)
- Richins,Marsha L, "Word-of-Mouth Communication and Negative Information", Advances in Consumer Research, 11, pp.697~703 (1984)
- Richins, Marsha L, "The Role of Involvement and Opinion Leadership in Consumer Word-of-Mouth: An Implicit Model Made Explicit", Advances in Consumer Research, 15, pp.32~36 (1988)
- Smith, Robert E, "Information Response Models: An Integrated Approach", Journal of Marketing, 46(Winter), pp.81~93 (1982)
- Wilson, William R, "Some Limits on the Potency of word-of-Mouth Information", Advances in Consumer Research, 16, pp.23~30 (1989)
- Wright, Alice A, "Communication Effects of Advertising versus Direct Experience When both Search and Experience Attributes Are Present", Journal of Consumer Research, 21, pp.708~718 (1995)
