Loại sản phẩm và truyền miệng: một góc nhìn song phương

Cheng‐HsiFang1, Tom M.Y.Lin2, FangyiLiu2, YuHsiang Lin3
1Department of Marketing and Distribution Management, Ching Yun University, Zhongli City, Taiwan
2Department of Business Administration, National Taiwan University of Science and Technology, Taipei, Taiwan
3Department of International Business Administration, Chinese Culture University, Taipei, Taiwan

Tóm tắt

Mục đíchCó bằng chứng mạnh mẽ cho thấy rằng việc truyền miệng (WOM) có mức độ ảnh hưởng khác nhau tùy thuộc vào loại sản phẩm; tuy nhiên, nghiên cứu thực nghiệm vẫn còn thiếu. Mục đích của bài báo này là đề xuất một mô hình quy trình để kiểm tra ảnh hưởng của loại sản phẩm đối với cả hiệu ứng và sự lan tỏa của thông tin liên quan đến WOM đồng thời.Thiết kế/phương pháp tiếp cậnThông qua một bảng câu hỏi tự quản lý, một mẫu gồm 895 người tiêu dùng trên 16 loại sản phẩm khác nhau đã được thu thập; các kết quả đã được phân tích bằng việc sử dụng mô hình phương trình cấu trúc.Kết quảWOM được phát hiện là có ảnh hưởng mạnh mẽ và được lan tỏa rộng rãi hơn đối với dịch vụ so với hàng hóa. Ngoài ra, mặc dù mức độ rủi ro mà người nhận cảm nhận (PR) thường được cho là một yếu tố tiền đề quan trọng của ảnh hưởng truyền miệng (WI), nhưng kết quả của nghiên cứu này cho thấy PR không phải là một hàm số trực tiếp của WI. Thay vào đó, yêu cầu truyền miệng (WR) đóng vai trò trung gian trong ảnh hưởng của PR đối với WI.Tính nguyên bản/gía trịTheo thông tin mà tác giả biết, đây là nghiên cứu đầu tiên xem xét mối quan hệ giữa loại sản phẩm và WOM từ một góc nhìn song phương. Hơn nữa, các tác giả đã giới thiệu hai yếu tố trung gian quan trọng – đó là PR và WR – trong mô hình nhằm xác định các ảnh hưởng tiềm năng khác nhau của WOM trong một bối cảnh mà người tìm kiếm khởi xướng. Kết quả của nghiên cứu này sẽ nâng cao kiến thức về các ảnh hưởng của thông tin WOM.

Từ khóa


Tài liệu tham khảo

Arndt, J. (1967a), “Role of product‐related conversations in the diffusion of a new product”, Journal of Marketing Research, Vol. 4 No. 1, pp. 291‐5.

Arndt, J. (1967b), Word of Mouth Advertising: A Review of the Literature, Advertising Research Federation, New York, NY.

Bansal, H.S. and Voyer, P.A. (2000), “Word‐of‐mouth processes within a services purchase decision context”, Journal of Service Research, Vol. 3 No. 2, pp. 166‐77.

Bettman, J.R. (1973), “Perceived risk and its components: a model and empirical test”, Journal of Marketing Research, Vol. 10, pp. 184‐9.

Bone, P.F. (1992), “Determinants of word‐of‐mouth communications during product consumption”, Advances in Consumer Research, Vol. 19 No. 1, pp. 579‐83.

Bristor, J.M. (1990), “Enhanced explanations of word of mouth communications: the power of relationships”, Research in Consumer Behavior, Vol. 4, pp. 51‐83.

Brown, J.J. and Reingen, P.H. (1987), “Social ties and word‐of‐mouth referral behavior”, Journal of Consumer Research, Vol. 14 No. 3, pp. 350‐62.

Chen, Y., Wang, Q. and Xie, J. (2011), “Online social interactions: a natural experiment on word of mouth versus observational learning”, Journal of Marketing Research, Vol. 48, pp. 238‐54.

Chevalier, J.A. and Mayzlin, D. (2006), “The effect of word of mouth on sales: online book reviews”, Journal of Marketing Research, Vol. 43, pp. 345‐54.

Day, G.S. (1971), “Attitude change, media and word of mouth”, Journal of Advertising Research, Vol. 11, pp. 31‐40.

de Matos, C.A., Rossi, C.A.V., Veiga, R.T. and Vieira, V.A. (2009), “Consumer reaction to service failure and recovery: the moderating role of attitude toward complaining”, Journal of Services Marketing, Vol. 23, pp. 462‐75.

Derbaix, C. and Vanhamme, J. (2003), “Inducing word‐of‐mouth by eliciting surprise – a pilot investigation”, Journal of Economic Psychology, Vol. 24, pp. 99‐116.

Dichter, E. (1966), “How word‐of‐mouth advertising works”, Harvard Business Review, Vol. 44, pp. 147‐66.

Dye, R. (2000), “The buzz on buzz”, Harvard Business Review, Vol. 78, pp. 139‐46.

East, R., Hammond, K., Lomax, W. and Robinson, H. (2005), “What is the effect of a recommendation?”, The Marketing Review, Vol. 5, pp. 145‐57.

Feick, L.F. and Price, L.L. (1987), “The market maven: a diffuser of marketplace information”, Journal of Marketing, Vol. 51 No. 1, pp. 83‐97.

Gilly, M.C., Graham, J.L., Wolfinbarger, M.F. and Yale, L.J. (1998), “A dyadic study of interpersonal information search”, Journal of the Academy of Marketing Science, Vol. 26, pp. 83‐100.

Godes, D. and Mayzlin, D. (2004), “Using online conversations to study word‐of‐mouth communication”, Marketing Science, Vol. 23 No. 4, pp. 545‐70.

Goldsmith, R.E. and Horowitz, D. (2006), “Measuring motivations for online opinion seeking”, Journal of Interactive Advertising, Vol. 6, pp. 1‐16.

Harrison‐Walker, L.J. (2001), “The measurement of word of mouth communication and an investigation of service quality and customer commitment as potential antecedents”, Journal of Service Research, Vol. 4 No. 2, pp. 60‐75.

Hartman, D.E. and Lindgren, J.H. (1993), “Consumer evaluations of goods and services”, Journal of Service Marketing, Vol. 7 No. 2, pp. 4‐15.

Hennig‐Thurau, T. and Walsh, G. (2003), “Electronic word‐of‐mouth: motives for and consequences of reading customer articulations on the internet”, International Journal of Electronic Commerce, Vol. 8 No. 2, pp. 51‐74.

Herr, P.M., Kardes, F.R. and Kim, J. (1991), “Effects of word‐of‐mouth and product‐attribute information of persuasion: an accessibility‐diagnosticity perspective”, Journal of Consumer Research, Vol. 17 No. 4, pp. 454‐62.

Hogan, J.E., Lemon, K.N. and Libai, B. (2004), “Quantifying the ripple: word‐of‐mouth and advertising effectiveness”, Journal of Advertising Research, Vol. 44 No. 3, pp. 271‐80.

Lin, M.Y. and Fang, C.‐H. (2006), “The effect of perceived risk on the word‐of‐mouth communication dyad”, Social Behavior and Personality, Vol. 34, pp. 1027‐216.

Liu, Y. (2006), “Word of mouth for movies: its dynamics and impact on box office revenue”, Journal of Marketing, Vol. 70, pp. 74‐89.

McAlistera, D.T. and Erffmeyer, R.C. (2003), “A content analysis of outcomes and responsibilities for consumer complaints to third‐party organizations”, Journal of Business Research, Vol. 56, pp. 341‐51.

Moon, S., Bergey, P.K. and Iacobucci, D. (2010), “Dynamic effects among movie ratings, movie revenues, and viewer satisfaction”, Journal of Marketing, Vol. 74, pp. 108‐21.

Murray, K.B. (1991), “A test of services marketing theory: consumer information acquisition activities”, Journal of Marketing, Vol. 55 No. 1, pp. 10‐25.

Murray, K.B. and Schlacter, J.L. (1990), “The impact of services versus goods on consumers' assessment of perceived risk and variability”, Journal of the Academy of Marketing Science, Vol. 18 No. 1, pp. 51‐65.

O'Cass, A. and Grace, D. (2004), “Service brands and communication effects”, Journal of Marketing Communications, Vol. 10, pp. 241‐54.

Petty, R.E. and Cacioppo, J.T. (1983), “Central and peripheral routes to advertising effectiveness: the moderating role of involvement”, Journal of Consumer Research, Vol. 10, pp. 134‐48.

Petty, R.E. and Cacioppo, J.T. (1984), “Source factors and the elaboration likelihood model of persuasion”, Advances in Consumer Research, Vol. 11, pp. 668‐75.

Quinton, S. and Harridge‐March, S. (2010), “Relationships in online communities: the potential for marketers”, Journal of Research in Interactive Marketing, Vol. 4, pp. 59‐73.

Reingen, P.H. and Kernan, J.B. (1986), “Analysis of referral networks in marketing: methods and illustration”, Journal of Marketing Research, Vol. 23 No. 4, pp. 370‐8.

Rogers, E.M. (1995), Diffusion of Innovations, 5th ed., The Free Press, New York, NY.

Roselius, T. (1971), “Consumer rankings of risk reduction methods”, Journal of Marketing, Vol. 31 No. 1, pp. 56‐61.

Rosen, E. (2000), The Anatomy of Buzz: How to Create Word‐of‐mouth Marketing, Doubleday, New York, NY.

Schmitt, P., Skiera, B. and Van Den Bulte, C. (2011), “Referral programs and customer value”, Journal of Marketing, Vol. 75, pp. 46‐59.

Silverman, G. (2001), The Secrets of Word‐of‐mouth Marketing: How to Trigger Exponential Sales through Runaway Word of Mouth, American Management Association, New York, NY.

Smith, R.E. and Swinyard, W.R. (1982), “Information response models: an integrated approach”, Journal of Marketing, Vol. 46 No. 1, pp. 81‐93.

Sundaram, D.S., Mitra, K. and Webster, C. (1998), “Word‐of‐mouth communications: a motivational analysis”, Advances in Consumer Research, Vol. 25, pp. 527‐31.

Taylor, J.W. (1974), “The role of risk in consumer behavior”, Journal of Marketing, Vol. 38 No. 2, pp. 54‐60.

Trusov, M., Bucklin, R.E. and Pauwels, K. (2009), “Effects of word‐of‐mouth versus traditional marketing: findings from an internet social networking site”, Journal of Marketing, Vol. 73, pp. 90‐102.

Zeithaml, V. (1981), “How consumer evaluation processes differ between goods and services”, in Donnelly, J.H. and George, W.R. (Eds), Marketing of Services, American Marketing Association, Chicago, IL, pp. 186‐90.

Zeithaml, V. and Bitner, M.J. (2002), Services Marketing, 3rd ed., McGraw‐Hill, New York, NY.

Burzynski, M.H. and Bayer, D.J. (1977), “The effect of positive and negative prior information on motion picture appreciation”, The Journal of Social Psychology, Vol. 101 No. 2, pp. 215‐18.

Reingen, P.H. (1987), “A word‐of‐mouth network”, Advances in Consumer Research, Vol. 14, pp. 213‐17.

Ryu, G. and Feick, L. (2007), “A penny for your thoughts: referral reward programs and referral likelihood”, Journal of Marketing, Vol. 71 No. 1, pp. 84‐94.

Sheth, J.N. (1971), “Word‐of‐mouth in low‐risk innovations”, Journal of Advertising Research, Vol. 11, pp. 15‐18.

Stern, B.B. (1994), “A revised communication model for advertising: multiple dimensions of the source, the message and the recipient”, Journal of Advertising, Vol. 23 No. 2, pp. 5‐15.