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Original Articles

The Impact of Perceived Usefulness of Online Reviews, Trust and Perceived Risk on Online Purchase Intention in Emerging Markets: A Mexican Perspective

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References

  • AIMX (Asociación de Internet). 2017. E-commerce study in Mexico 2017. https://www.asociaciondeinternet.mx/es/.
  • AMVO (Asociación Mexicana de Venta Online). 2019. Estudio de venta online 2019. https://www.amvo.org.mx/estudios.
  • Awad, N. F., and A. Ragowsky. 2008. Establishing trust in electronic commerce through online word of mouth: An examination across genders. Journal of Management Information Systems 24 (4):101–21. doi: 10.2753/MIS0742-1222240404.
  • Bai, Y., Z. Yao, and Y.-F. Dou. 2015. Effect of social commerce factors on user purchase behavior: An empirical investigation from renren.com. International Journal of Information Management 35 (5):538–50. doi: 10.1016/j.ijinfomgt.2015.04.011.
  • Bataineh, A. Q. 2015. The impact of perceived e-WOM on purchase intention: The mediating role of corporate image. International Journal of Marketing Studies 7 (1):126–37. doi: 10.5539/ijms.v7n1p126.
  • Bhatnagar, A., and S. Ghose. 2004. Segmenting consumers based on the benefits and risks of Internet shopping. Journal of Business Research 57 (12):1352–60. doi:10.1016/s0148-2963(03)00067-5.
  • Bhattacherjee, A., and C. Sanford. 2006. Influence processes for information technology acceptance: An elaboration likelihood model. MIS Quarterly 30 (4):805–25. doi: 10.2307/25148755.
  • Bianchi, C., and L. Andrews. 2012. Risk, trust, and consumer online purchasing behaviour: A Chilean perspective. International Marketing Review 29 (3):253–75. doi: 10.1108/02651331211229750.
  • Casaló, L. V., and J. Cisneros. 2008. An empirical test of the multiplicative effect of usability on consumer trust and satisfaction. Paper presented at the Database and Expert Systems Application, 2008. 19th International Conference on Database and Expert Systems Applications, Turin, Italy, September 1-5, ed. S. Bhomwick, J. Küng, and R. Wagner. doi: 10.1109/dexa.2008.139.
  • Cheung, C. M., M. K. Lee, and D. R. Thadani. 2009. The impact of positive electronic word-of-mouth on consumer online purchasing decision, pp. 501–10. Berlin: Springer. doi: 10.1007/978-3-642-04754-1_51.
  • Cheung, C. M. K., and D. R. Thadani. 2012. The impact of electronic word-of-mouth communication: A literature analysis and integrative model. Decision Support Systems 54 (1):461–70. doi: 10.1016/j.dss.2012.06.008.
  • Chiu, C. M., E. T. Wang, Y. H. Fang, and H. Y. Huang. 2014. Understanding customers’ repeat purchase intentions in B2C e-commerce: The roles of utilitarian value, hedonic value and perceived risk. Information Systems Journal 24 (1):85–114. doi: 10.1111/j.1365-2575.2012.00407.x.
  • Chong, A. Y. L., E. Lacka, L. Boying, and H. K. Chan. 2018. The role of social media in enhancing guanxi and perceived effectiveness of E-commerce institutional mechanisms in online marketplace. Information & Management 55 (5):621–32. doi: 10.1016/j.im.2018.01.003.
  • Crespo, A. H., I. R. del Bosque, and M. G. de los Salmones Sánchez. 2009. The influence of perceived risk on Internet shopping behavior: A multidimensional perspective. Journal of Risk Research 12 (2):259–77. doi: 10.1080/13669870802497744.
  • Diallo, M. F., and J. R. Siqueira. 2017. How previous positive experiences with store brands affect purchase intention in emerging countries: A comparison between Brazil and Colombia. International Marketing Review 34 (4):536–58. doi: 10.1108/IMR-07-2014-0224.
  • eMarketer. 2019. Global Ecommerce 2019. Latin America. https://www.emarketer.com/content/latin-america-ecommerce-2019.
  • Erkan, I., and C. Evans. 2016. The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption. Computers in Human Behavior 61 (8):47–55. doi:10.1016/j.chb.2016.03.003
  • Fang, B., Q. Ye, D. Kucukusta, and R. Law. 2016. Analysis of the perceived value of online tourism reviews: Influence of readability and reviewer characteristics. Tourism Management 52 (1):498–506. doi: 10.1016/j.im.2005.01.002.
  • Farivar, S., O. Turel, and Y. Yuan. 2017. A trust-risk perspective on social commerce use: An examination of the biasing role of habit. Internet Research 27 (3):586–607. doi: 10.1108/IntR-06-2016-0175.
  • Floh, A., M. Koller, and A. Zauner. 2013. Taking a deeper look at online reviews: The asymmetric effect of valence intensity on shopping behaviour. Journal of Marketing Management 29 (5-6):646–70. doi: 10.1080/0267257X.2013.776620.
  • Fornell, C., and D. F. Larcker. 1981. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 18 (1):39–50. doi: 10.1177/002224378101800104.
  • Forsythe, S., C. Liu, D. Shannon, and L. C. Gardner. 2006. Development of a scale to measure the perceived benefits and risks of online shopping. Journal of Interactive Marketing 20 (2):55–75. doi: 10.1002/dir.20061.
  • Friedrich, T. 2017. On the factors influencing consumers’ adoption of social commerce–A review of the empirical literature. Pacific Asia Journal of the Association for Information Systems 8 (4):1–32. doi: 10.17705/1pais.08401.
  • Gavilan, D., M. Avello, and G. Martinez-Navarro. 2018. The influence of online ratings and reviews on hotel booking consideration. Tourism Management 66 (3):53–61. doi: 10.1016/j.tourman.2017.10.018.
  • Gibreel, O., D. A. AlOtaibi, and J. Altmann. 2018. Social commerce development in emerging markets. Electronic Commerce Research and Applications 27 (1):152–62. doi: 10.1016/j.elerap.2017.12.008.
  • Graca, S. S., J. M. Barry, and P. M. Doney. 2016. B2B commitment building in emerging markets: The case of Brazil. Journal of Personal Selling & Sales Management 36 (2):105–25. doi: 10.1080/08853134.2016.1188708.
  • Hair, J. F., Jr, and B. Lukas. 2014. Marketing research. Sydney: McGraw-Hill Education.
  • Hair, J. F., Jr, M. Sarstedt, C. M. Ringle, and S. P. Gudergan. 2017. Advanced issues in partial least squares structural equation modeling. Thousand Oaks, CA: Sage.
  • Hajli, M. 2013. A research framework for social commerce adoption. Information Management & Computer Security 21 (3):144–54. doi: 10.1108/IMCS-04-2012-0024.
  • Hajli, N. 2015. Social commerce constructs and consumer's intention to buy. International Journal of Information Management 35 (2):183–91. doi: 10.1016/j.ijinfomgt.2014.12.005.
  • Hajli, N., and X. Lin. 2015. Consumer adoption of social commerce. International Conference on HCI in Business 2 (1):279–87. doi: 10.1007/978-3-319-20895-4_26.
  • Hajli, N., X. Lin, M. S. Featherman, and Y. Wang. 2014. Social word of mouth: How trust develops in the market. International Journal of Market Research 56 (5):673–89. doi: 10.2501/IJMR-2014-045.
  • Hajli, N., J. Sims, A. H. Zadeh, and M.-O. Richard. 2017. A social commerce investigation of the role of trust in a social networking site on purchase intentions. Journal of Business Research 71 (2):133–41. doi: 10.1016/j.jbusres.2016.10.004.
  • Hallikainen, H., and T. Laukkanen. 2018. National culture and consumer trust in e-commerce. International Journal of Information Management 38 (1):97–106. doi: 10.1016/j.ijinfomgt.2017.07.002.
  • Han, B. O., and J. Windsor. 2011. User's willingness to pay on social network sites. Journal of Computer Information Systems 51 (4):31–40.
  • Hau, Y. S., and Y. G. Kim. 2011. Why would online gamers share their innovation-conducive knowledge in the online game user community? Integrating individual motivations and social capital perspectives. Computers in Human Behavior 27 (2):956–70. doi: 10.1016/j.chb.2010.11.022.
  • Hennig-Thurau, T., K. P. Gwinner, G. Walsh, and D. D. Gremler. 2004. Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the internet? Journal of Interactive Marketing 18 (1):38–52. doi: 10.1287/isre.13.3.334.81.
  • Henseler, J., T. K. Dijkstra, M. Sarstedt, C. M. Ringle, A. Diamantopoulos, D. W. Straub, D. J. Ketchen, J. F. Hair, G. T. M. Hult, and R. J. Calantone. 2014. Common beliefs and reality about PLS: Comments on Ronkko and Evermann (2013). Organizational Research Methods 17 (2):182–209. doi: 10.1177/1094428114526928.
  • Hilligoss, B., and S. Y. Rieh. 2008. Developing a unifying framework of credibility assessment: Construct, heuristics, and interaction in context. Information Processing & Management 44 (4):1467–84. doi: 10.1016/j.ipm.2007.10.001.
  • Hillman, S., and C. Neustaedter. 2017. Trust and mobile commerce in North America. Computers in Human Behavior 70 (5):10–21. doi: 10.1016/j.chb.2016.12.061.
  • Hofstede, G. 2001. Culture's consequences: Comparing values, behaviors, institutions and organizations across nations. Thousand Oaks, CA: Sage.
  • Hong, I. B., and H. S. Cha. 2013. The mediating role of consumer trust in an online merchant in predicting purchase intention. International Journal of Information Management 33 (6):927–39. doi: 10.1016/j.ijinfomgt.2013.08.007.
  • Huang, Z., and M. Benyoucef. 2013. From e-commerce to social commerce: A close look at design features. Electronic Commerce Research and Applications 12 (4):246–59. doi: 10.1016/j.elerap.2012.12.003.
  • Hussain, S., W. Ahmed, R. M. S. Jafar, A. Rabnawaz, and Y. Jianzhou. 2017. eWOM source credibility, perceived risk and food product customer's information adoption. Computers in Human Behavior 66 (1):96–102. doi: 10.1016/j.chb.2016.09.034.
  • Hwang, Y., and K. C. Lee. 2012. Investigating the moderating role of uncertainty avoidance cultural values on multidimensional online trust. Information & Management 49 (3-4):171–6. doi: 10.1016/j.im.2012.02.003.
  • Kim, S., and H. Park. 2013. Effects of various characteristics of social commerce (s-commerce) on consumers’ trust and trust performance. International Journal of Information Management 33 (2):318–32. doi: 10.1016/j.ijinfomgt.2012.11.006.
  • Ko, H., J. Jung, J. Kim, and S. W. Shim. 2004. Cross-cultural differences in perceived risk of online shopping. Journal of Interactive Advertising 4 (2):20–9. doi: 10.1080/15252019.2004.10722084.
  • Lee, J., D. H. Park, and I. Han. 2008. The effect of negative online consumer reviews on product attitude: An information processing view. Electronic Commerce Research and Applications 7 (3):341–52. doi: 10.1016/j.elerap.2007.05.004.
  • Lee, M. K., and E. Turban. 2001. A trust model for consumer internet shopping. International Journal of Electronic Commerce 6 (1):75–91. doi: 10.1080/10864415.2001.11044227.
  • Lim, W. M. 2015. Antecedents and consequences of e-shopping: An integrated model. Internet Research 25 (2):184–217. doi: 10.1108/IntR-11-2013-0247.
  • Luo, Y., and Q. Ye. 2019. The effects of online reviews, perceived value, and gender on continuance intention to use international online outshopping website: An elaboration likelihood model perspective. Journal of International Consumer Marketing 31 (3):250–69. doi: 10.1080/08961530.2018.1503987.
  • Malaquias, R. F., and Y. Hwang. 2016. An empirical study on trust in mobile banking: A developing country perspective. Computers in Human Behavior 54 (1):453–61. doi: 10.1016/j.chb.2015.08.039.
  • Marshall, G. W., W. C. Moncrief, J. M. Rudd, and N. Lee. 2012. Revolution in sales: The impact of social media and related technology on the selling environment. Journal of Personal Selling & Sales Management 32 (3):349–63. doi: 10.2753/PSS0885-3134320305.
  • McCole, P., E. Ramsey, and J. Williams. 2010. Trust considerations on attitudes towards online purchasing: The moderating effect of privacy and security concerns. Journal of Business Research 63 (9-10):1018–24. doi: 10.1016/j.jbusres.2009.02.025.
  • Mutz, D. C. 2005. Social trust and e-commerce: Experimental evidence for the effects of social trust on individuals’ economic behavior. Public Opinion Quarterly 69 (3):393–416. doi: 10.1093/poq/nfi029.
  • Nunnally, J. C., and I. H. Bernstein. 1994. The assessment of reliability. Psychometric Theory 3 (1):248–92. doi: 10.1177/014662169501900308.
  • O’Neil, J., and M. Eisenmann. 2017. An examination of how source classification impacts credibility and consumer behavior. Public Relations Review 43 (2):278–92. doi: 10.1016/j.pubrev.2017.02.011.
  • OECD. 2019. An introduction to online platforms and their role in the digital transformation. Paris: OECD Publishing.
  • Oliveira, T., M. Alhinho, P. Rita, and G. Dhillon. 2017. Modelling and testing consumer trust dimensions in ecommerce. Computers in Human Behavior 71:153–64. doi: 10.1016/j.chb.2017.01.050.
  • Ou, C. X., P. A. Pavlou, and R. Davison. 2014. Swift guanxi in online marketplaces: The role of computer-mediated communication technologies. MIS Quarterly 38 (1):209–30. doi: 10.25300/MISQ/2014/38.1.10.
  • Paluch, S., and N. V. Wünderlich. 2016. Contrasting risk perceptions of technology-based service innovations in inter-organizational settings. Journal of Business Research 69 (7):2424–31. doi: 10.1016/j.jbusres.2016.01.012.
  • Pappas, I. O., P. E. Kourouthanassis, M. N. Giannakos, and V. Chrissikopoulos. 2017. Sense and sensibility in personalized e-commerce: How emotions rebalance the purchase intentions of persuaded customers. Psychology & Marketing 34 (10):972–86. doi: 10.1002/mar.21036.
  • Park, C., and T. M. Lee. 2009. Antecedents of Online Reviews' Usage and Purchase Influence: An Empirical Comparison of U.S. and Korean Consumers. Journal of Interactive Marketing 23 (4):332–40. doi:10.1016/j.intmar.2009.07.001.
  • Park, C., Y. Wang, Y. Yao, and Y. R. Kang. 2011. Factors influencing eWOM effects: Using experience, credibility, and susceptibility. International Journal of Social Science and Humanity 1 (1):75–9. doi: 10.7763/IJSSH.2011.V1.13.
  • Park, S., and I. P. Tussyadiah. 2017. Multidimensional facets of perceived risk in mobile travel booking. Journal of Travel Research 56 (7):854–67. doi: 10.1177/0047287516675062.
  • 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):101–34. doi: 10.1080/10864415.2003.11044275.
  • Pelaez, A., C. Chen, and Y. X. Chen. 2017. Effects of perceived risk on intention to purchase: A meta-analysis. Journal of Computer Information Systems 57 (1):1–12. doi: 10.1080/08874417.2017.1300514.
  • Pérez, E. 2016. Aumenta fraudes a la par del ecommerce. http://eleconomista.com.mx/sistema-financiero/2016/08/08/aumentan-fraudes-par-e-commerce
  • Phua, J., S. V. Jin, and J. Kim. 2017. Uses and gratifications of social networking sites for bridging and bonding social capital: A comparison of Facebook, Twitter, Instagram, and Snapchat. Computers in Human Behavior 72 (7):115–22. doi: 10.1016/j.chb.2017.02.041.
  • Ringle, C. M., S. Wende, and J.-M. Becker. 2015. SmartPLS 3. Bönningstedt: SmartPLS. http://www.smartpls.com.
  • Shao, J. B., Z. Z. Li, and M. Y. Hu. 2014. The impact of online reviews on consumers' purchase decisions in online shopping. Paper presented at the Management Science and Engineering (ICMSE), 2014 International Conference, Helsinki, Finland, August 17–19, pp. 287–93. doi: 10.1109/icmse.2014.6930242.
  • Sheth, J. N. 2011. Impact of emerging markets on marketing: rethinking existing perspectives and practices. Journal of Marketing 75 (4):166–82. doi: 10.1509/jmkg.75.4.166.
  • Sicilia, M., and S. Ruiz. 2010. The effects of the amount of information on cognitive responses in online purchasing tasks. Electronic Commerce Research and Applications 9 (2):183–91. doi: 10.1016/j.elerap.2009.03.004.
  • Singh, S., and S. Srivastava. 2018. Moderating effect of product type on online shopping behaviour and purchase intention: An Indian perspective. Cogent Arts & Humanities 5 (1):1–27. doi: 10.1080/23311983.2018.1495043.
  • Soleimani, M., H. Danaei, A. Jowkar, and M. M. Parhizgar. 2017. Factors affecting purchase intention and social media publicity of green products: The mediating role of concern for consequences. Corporate Social Responsibility and Environmental Management 25 (3):225–36. doi: 10.1002/csr.1450.
  • Statista. 2018. E-commerce in Latin America - Statistics & facts. https://www.statista.com/topics/2453/e-commerce-in-latin-america/.
  • Thakur, R., and M. Srivastava. 2014. Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India. Internet Research 24 (3):369–92. doi: 10.1108/IntR-12-2012-0244.
  • Thongpapanl (Tek), N., A. R. Ashraf, L. Lapa, and V. Venkatesh. 2018. Differential effects of customers’ regulatory fit on trust, perceived value, and M-commerce use among developing and developed countries. Journal of International Marketing 26 (3):22–44. doi: 10.1509/jim.17.0129.
  • Transparency International. 2018. Corruption perceptions index 2018. https://www.transparency.org/cpi2018.
  • Valenzuela, L., and E. Torres. 2017. Does customer value-oriented management influence financial results? A supplier's perspective. Innovar 27 (63):29–41. doi: 10.15446/innovar.v26n63.60664.
  • Wagner Mainardes, E., C. M. de Almeida, and M. de-Oliveira. 2019. E-Commerce: An analysis of the factors that antecede purchase intentions in an emerging market. Journal of International Consumer Marketing 31 (5):447–22. doi: 10.1080/08961530.2019.1605643.
  • Wagner Mainardes, E. W., v. B. de Araujo, D. Lasso, and D. Modenesi. 2017. Influences on the intention to buy organic food in an emerging market. Marketing Intelligence & Planning 35 (7):858–76. doi: 10.1108/MIP-04-2017-0067.
  • Wang, C. L., J. He, and B. R. Barnes. 2017. Brand management and consumer experience in emerging markets: Directions for future research. International Marketing Review 34 (4):458–62. doi: 10.1108/IMR-01-2016-0009.
  • Wang, C., and P. Zhang. 2012. The evolution of social commerce: The people, management, technology, and information dimensions. Communications of the Association for Information Systems 31 (5):106–27. doi: 10.17705/1CAIS.03105.
  • Wang, X., X. Lin, and M. K. Spencer. 2019. Exploring the effects of extrinsic motivation on consumer behaviors in social commerce: Revealing consumers’ perceptions of social commerce benefits. International Journal of Information Management 45:163–75. doi:10.1016/j.ijinfomgt.2018.11.010
  • Wang, Y., and D. R. Fesenmaier. 2004. Towards understanding members’ general participation in and active contribution to an online travel community. Tourism Management 25 (6):709–22. doi: 10.1016/j.tourman.2003.09.011.

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