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Digital Business and Chinese Consumers’ Purchase Intentions in Indonesia

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The Digitization of Business in China

Part of the book series: Palgrave Macmillan Asian Business Series ((PAMABS))

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Abstract

This study aims to investigate how product-related variables influence consumers’ purchase intentions in Indonesia, one of Asia’s primary emerging markets. Product type, consumer involvement and product review were identified as the key independent variables in an experimental research involving 181 samples. Having conducted the pretest, eight articles were consequently selected before the results from the online questionnaire were collated from the Indonesian respondents. The results showed that product type and product review were significant determinants of consumer attitudes and purchase intentions. Although product involvement was shown to have no substantial influence on consumer attitude, this study further found out that if a product is experience-based with low involvement, it does indeed have a positive influence on the attitude of consumers. Furthermore, respondents showed no discriminations against sponsored product reviews, which was contradictory to the norms presented in existing literature. This study also discusses both managerial and theoretical implications as well as the research limitations and future research directions derived from the case study.

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References

  • Bae, S., & Lee, T. (2010). Gender differences in consumers’ perception. Online Consumer Reviews, 11, 201–214.

    Google Scholar 

  • Ballantine, P. W., & Au Yeung, C. (2015). The effects of review valence in organic versus sponsored blog sites on perceived credibility, brand attitude, and behavioural intentions. Marketing Intelligence & Planning, 33(4), 508–521.

    Article  Google Scholar 

  • Becker-Olsen, K. L. (2003). And now, a word from our sponsor – A look at the effects of sponsored content and banner advertising. Journal of Advertising, 32(2), 17–32.

    Article  Google Scholar 

  • Chakravarty, A., Liu, Y., & Majumdar, T. (2009). Persuasive influences of online word of mouth and professional reviews. Advances in Consumer Research, Asia Pacific Conference Proceedings, 8, 124–125.

    Google Scholar 

  • Chatterjee, P. (2001). Online reviews: Do consumers use them? Advances in Consumer Research, 28, 129–133.

    Google Scholar 

  • Chen, Y., & Xie, J. (2004). Online consumer review: A new element of marketing communications mix (Working Paper). University of Arizona. http://papers.ssrn.com/sol3/papers.cfm?abstract_id=618782#. PaperDownload.

  • Chen, Y., & Xie, J. (2008). Online consumer review: Word-of-mouth as a new element of marketing communication mix. Management Science, 54(3), 477–491.

    Article  Google Scholar 

  • Cheong, H. J., & Morrison, M. A. (2008). Consumers’ reliance on product information and recommendations found in UGC. Journal of Interactive Advertising, 8(2), 38–49.

    Article  Google Scholar 

  • Cheung, M. Y., Luo, C., Sia, C. L., & Chen, H. (2009). Credibility of electronic word-of-mouth: Informational and normative determinants. On-line Consumer Recommendations, 13(4), 9–38.

    Google Scholar 

  • Chevalier, J., & Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research, 43, 345–354.

    Article  Google Scholar 

  • Chiou, J., & Cheng, C. (2003). Should a company have message boards on its web sites? Journal of Interactive Marketing, 17, 50–61.

    Article  Google Scholar 

  • Clarke, K., & Belk, R. W. (1979). The effects of product involvement and task definition on anticipated consumer effort. ACR North American Advances.

    Google Scholar 

  • Cui, G., Lui, H., & Guo, X. (2012). The effect of online consumer reviews on new product sales. Online Consumer Reviews, 17(1), 39–57.

    Google Scholar 

  • Dellarocas, C. (2003). The digitization of word of mouth: Promise and challenges of online feedback mechanisms. Management Science, 49, 1401–1424.

    Article  Google Scholar 

  • Doh, S. J. M., & Hwang, J. S. (2009). How consumers evaluate eWOM. Messages, 12(2), 1–5.

    Google Scholar 

  • DoubleClick’s Touchpoints II. (2004, March). The changing purchase process. DoubleClick. available at http://class.classmatandread.net/dct/dc_touchpoints_0403.pdf.

  • Eliashberg, J., & Sawhney, M. S. (1994). Modeling goes to Hollywood: Predicting individual differences in movie enjoyment. Management Science, 40, 1151–1173.

    Article  Google Scholar 

  • Ellis-Chadwick, F., & Doherty, N. F. (2012). Web advertising: The role of e-mail marketing. Journal of Business Research, 65(6), 843–848.

    Article  Google Scholar 

  • Forrest, E., & Cao, Y. (2010). Opinions, recommendations and endorsements: The new regulatory framework for social media. Journal of Business and Policy Research, 5(2), 88–99.

    Google Scholar 

  • Fruth, A., & Neacsu, M. (2014). Online consumer reviews as marketing instrument. Online Consumer Reviews, 6(3), 128–131.

    Google Scholar 

  • Garbarino, E., & Strahilevitz, M. (2004). Gender differences in the perceived risk of buying online and the effects of receiving a site recommendation. Journal of Business Research, 57(7), 768–775.

    Article  Google Scholar 

  • Griffith, D. A., Krampf, R. F., & Palmer, J. W. (2001). The role of interface in electronic commerce: Consumer involvement with print versus on-line catalogs. International Journal of Electronic Commerce, 5, 135–154.

    Article  Google Scholar 

  • Hass, R. G., Petty, R. E., Ostrom, T. M., & Brock, T. C. (1981). Effects of source characteristics on cognitive responses and persuasion. In Cognitive responses in persuasion (pp. 141–172). Hillsdale: Lawrence Erlbaum.

    Google Scholar 

  • Hennig-Thurau, T., & Walsh, G. (2004). Electronic word of mouth: Motives for and consequences of reading customer articulations on the Internet. International Journal of Electronic Commerce, 8, 51–74.

    Article  Google Scholar 

  • Hsieh, Y. C., Chiu, H. C., & Chiang, M. Y. (2005). Maintaining a committed online customer: A study across search-experience-credence products. Journal of Retailing, 81(1), 75–82.

    Article  Google Scholar 

  • Huang, P., Lurie, N. H., & Mitra, S. (2009). Searching for experience on the Web: An empirical examination of consumer behavior for search and experience goods. Journal of Marketing, 73, 55–69.

    Article  Google Scholar 

  • Hupfer, M. E., & Detlor, B. (2006). Gender and Web information seeking: A self-concept orientation model. Journal of the American Society for Information Science and Technology, 57(8), 1105–1115.

    Article  Google Scholar 

  • Hwang, Y., & Jeong, S. H. (2016). “This is a sponsored blog post, but all opinions are my own”: The effects of sponsorship disclosure on responses to sponsored blog posts. Computers in Human Behavior, 62, 528–535.

    Article  Google Scholar 

  • Jensen, M., Averbeck, Z., & Wright, K. (2013). Credibility of anonymous online product reviews: A language expectancy perspective. Journal of Management Information Systems, 30, 293–323.

    Article  Google Scholar 

  • Kassarjian, H. H. (1981). Low involvement—A second look. In K. B. Monroe (Ed.), Advances in consumer research (Vol. 8, pp. 31–34). Ann Arbor: Association for Consumer Research.

    Google Scholar 

  • King, M. F., & Balasubramanian, S. K. (1994). The effects of expertise, end goal, and product type on adoption of preference formation strategy. Journal of the Academy of Marketing Science, 22, 146–159.

    Article  Google Scholar 

  • Krishnan, B. C., & Hartline, M. D. (2001). Brand equity: Is it more important in services? Journal of services marketing, 15(5), 328–342.

    Article  Google Scholar 

  • Laurent, G., & Kapferer, J. N. (1985). Measuring consumer involvement profiles. Journal of marketing research, 22(1), 41–53.

    Article  Google Scholar 

  • Lee, K. T., & Koo, D. M. (2012). Effects of attribute and valence of e-WOM on message adoption: Moderating roles of subjective knowledge and regulatory focus. Computers in Human Behavior, 28, 1974–1984.

    Article  Google Scholar 

  • Lee, M., & Youn, S. (2009). Electronic word of mouth: How eWOM platforms influence consumer product judgment. International Journal of Advertising, 28(3), 473–499.

    Article  Google Scholar 

  • Li, M., Huang, L., Tan, C. H., & Wei, K. K. (2013). Helpfulness of online product reviews as seen by consumers: Source and content features. International Journal of Electronic Commerce, 17, 101–136.

    Article  Google Scholar 

  • Lu, L., Chang, W., & Chang, H. (2014). Consumer attitudes toward blogger’s sponsored recommendations and purchase intention: The effect of sponsorship type, product type, and brand awareness. Computers in Human Behavior, 34, 258–266 Available from: https://doi.org/10.1016/j.chb.2014.02.007

    Article  Google Scholar 

  • Malhotra, N. K. (1987). Validity and structural reliability of multidimensional scaling. Journal of Marketing Research, 24(2), 164–173.

    Article  Google Scholar 

  • Misner, I. (1999). The World’s best known marketing secret: Building your business with word-of-mouth marketing. Austin: Bard Press.

    Google Scholar 

  • Mortazavi, M., Esfidani, M. R., & Barzoki, A. S. (2014). Influencing VSN users’ purchase intentions the roles of flow, trust and eWOM. Journal of Research in Interactive Marketing, 8(2), 102–123.

    Article  Google Scholar 

  • Mudambi, S. M., & Schuff, D. (2010). What makes a helpful online review? A study of customer reviews on Amazon.com. MIS Quarterly, 34(1), 185–200.

    Article  Google Scholar 

  • Obermiller, C., & Spangenberg, E. R. (1998). Development of a scale to measure consumer skepticism toward advertising. Journal of consumer psychology, 7(2), 159–186.

    Article  Google Scholar 

  • Pan, Y., & Zhang, J. (2011). Born unequal: A study of the helpfulness of user-generated product reviews. Journal of Retailing, 87(4), 598–612.

    Article  Google Scholar 

  • Park, D., & Kim, S. (2008). The effects of consumer knowledge on message processing of electronic word-of-mouth via online consumer reviews. Electronic Commerce Research and Applications, 7(4), 399–410. Available from: https://doi.org/10.1016/j.elerap.2007.12.001

    Article  Google Scholar 

  • Park, C., & Lee, T. M. (2009). Information direction, website reputation and eWOM effect: A moderating role of product type. Journal of Business Research, 62(1), 61–67.

    Article  Google Scholar 

  • Park, D., Lee, J., & Han, I. (2007a). The effect of on-line consumer reviews on consumer purchasing intention: The moderating role of involvement. On-Line Consumer Reviews, 11(4), 125–148.

    Google Scholar 

  • Park, D. H., Lee, J., & Ingoo, H. (2007b). The effect of on-line consumer reviews on consumer purchasing intentions: The moderating role of involvement. International Journal of Electronic Commerce, 11, 57–80.

    Article  Google Scholar 

  • Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101–134.

    Article  Google Scholar 

  • Petty, R. E., & Cacioppo, J. T. (1984). The effects of involvement on response to argument quantity and quality: Central and peripheral routes to persuasion. Journal of Personality and Social Psychology, 46(1), 69–80.

    Article  Google Scholar 

  • Phelps, J. E., Lewis, R., Mobilio, L., Perry, D., & Raman, N. (2004). Viral marketing or electronic word-of-mouth advertising: Examining consumer responses and motivations to pass along email. Journal of Advertising Research, 23, 370–378.

    Google Scholar 

  • Piller, C. (1999, December 3). Everyone is a critic in cyberspace. Los Angeles Times.

    Google Scholar 

  • Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 63, 539–569.

    Article  Google Scholar 

  • Quester, P. G., & Smart, J. (1998). The influence of consumption situation and product involvement over consumers’ use of product attribute. Journal of Consumer Marketing, 15(3), 220–238.

    Article  Google Scholar 

  • Ratchford, B. T., Talukdar, D., & Lee, M. S. (2001). A model of consumer choice of the internet as an information source. International Journal of Electronic Commerce, 5, 7–22.

    Article  Google Scholar 

  • Richins, M. L., & Root-Shaffer, T. (1988). The role of involvement and opinion leadership in consumer word-of-mouth: An implicit model made explicit. Advances in Consumer Research, 15, 32–36.

    Google Scholar 

  • Rubin, V. L., Liddy, E., & Kando, N. (2005). Certainty identification in texts: Categorization model and manual tagging results. In J. G. Shanahan, Y. Qu, & J. Wiebe (Eds.), Computing attitude and affect in text: Theory and applications, Information retrieval series. New York: Springer-Verlag.

    Google Scholar 

  • Sen, S., & Lerman, D. (2007). Why are you telling me this? An examination into negative consumer reviews on the web. Journal of Interactive Marketing, 21(4), 76–94.

    Article  Google Scholar 

  • Weathers, D., Sharma, S., & Wood, L. S. (2007). Effects of online communication practices on consumer perceptions of performance uncertainty for search and experience goods. Journal of Retailing, 83(4), 393–401.

    Article  Google Scholar 

  • Wulff, D. U., Hills, T. T., & Hertwig, R. (2015). Online product reviews and the description – Experience gap. Journal of Behavioral Decision Making, 28, 214–223.

    Article  Google Scholar 

  • Zaichkowsky, J. L. (1987). The emotional affect of product involvement. Advances in Consumer Research, 14, 32–35.

    Google Scholar 

  • Zhu, F., & Zhang, X. (2010). Impact of online consumer reviews on sales: The moderating role of product and consumer characteristics. Journal of Marketing, 74(2), 133–148.

    Article  Google Scholar 

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Authors and Affiliations

  1. Leeds University Business School, University of Leeds, Leeds, UK

    Tao Jiang & Yeyi Liu

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  1. Tao Jiang
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  2. Yeyi Liu
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Correspondence to Tao Jiang .

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Editors and Affiliations

  1. University of Greenwich, London, United Kingdom

    Young-Chan Kim

  2. University of Greenwich, London, United Kingdom

    Pi-Chi Chen

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Jiang, T., Liu, Y. (2018). Digital Business and Chinese Consumers’ Purchase Intentions in Indonesia. In: Kim, YC., Chen, PC. (eds) The Digitization of Business in China. Palgrave Macmillan Asian Business Series. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-319-79048-0_6

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