The Impact of Digital Social legitimization on Website Visits and Web Sales
DOI:
https://doi.org/10.7903/ijecs.1865Keywords:
e-commerce, social legitimacy, digital social influence, Web sales, consumer attractionAbstract
The present manuscript examines the role of digital social influence, as attained through Facebook, Instagram, Pinterest, Twitter, and YouTube, in attracting customers and achieving sales performance. The theoretical mechanism that serves as the basis for the study is social legitimacy theory. Specifically, the influence exerted by social media, and the resulting social legitimization of the marketer, are expected to drive both website visits and, ultimately, sales for the USA’s largest e-commerce retailers. The findings indicate that that all five manifest social media indicators converge into a single variable with significant loadings. This provides support for the multidimensional nature of the hypothesized digital social legitimization construct. However, the structural equations analysis indicates that there is not a direct link between digital social legitimization and Web sales performance. Nevertheless, digital social legitimization does in fact positively impact website visits. In turn, these visits are associated with higher e-commerce sales.
References
Allison, D.P., (2003), “Missing data techniques for structural equation modeling”, Journal of Abnormal Psychology, Vol.112, No. 4, pp. 545-557.
Anspach, N. M. (2017), “The new personal influence: How our Facebook friends influence the news we read”, Political Communication, Vol. 34, No. 4, pp. 590–606.
Biucky, S.T., Abdolvand, N., & Harandi, S.R. (2017), ‘The effects of perceived risk on social commerce adoption based on the Tam model”, International Journal of Electronic Commerce Studies, Vol. 8, No. 2, pp. 124–147.
Bunting, T.D. (2017), “A Bible, an ax, and a tablet: Tocqueville's newspapers and everyday political discourse”, Perspectives on Political Science, Vol. 46, No. 4, pp. 257-269.
Cattani, K., Gilland, W., Heese, H.S., & Swaminathan, J. (2006), “Boiling frogs: Pricing strategies for a manufacturer adding a direct channel that competes with the traditional channel”, Production and Operations Management, Vol. 15, No. 1, pp. 40-56.
Chen, Y., Wang, Q., & Xie, J. (2011), “Online social interactions: A natural experiment on word of mouth versus observational learning”, Journal of Marketing Research, Vol. 48, No. 2, pp. 238–54.
Chiang, K.W., Chhajed, D., & Hess, D.J., (2003), “Direct marketing, indirect profits: A strategy analysis of dual-channel supply-chain design”, Management Science, Vol. 49, No. 1, pp. 1-20.
Coskuner-Balli, G. (2013), “Market practices of legitimization: Insights from consumer culture theory,” Marketing Theory, Vol. 13, No. 2, pp. 193-211.
Försch, S. & de Hann, E. (2018), ‘Targeting online display ads: Choosing their frequency and spacing”, International Journal of Research in Marketing, Vol. 35, No. 4, pp. 661-672.
Foux, G. (2006), “Consumer-generated media: Get your customers involved”, Brand Strategy, Vol. 8, pp. 38–9.
Garcia, D., Mavrodiev, P., Casati, D., & Schweitzer, F. (2017), “Understanding popularity, reputation, and social influence in the Twitter society”, Policy & Internet, Vol. 9, No. 3, pp. 343–364.
Global Web Index (2019) ‘The latest social media trends to know in 2019’, accessed August 9, 2019, available at https://www.globalwebindex.com/reports/social.
Graham, M. (2018), “Forecasters temper ad spending estimates: Digital spend predicted to hit a milestone”, Advertising Age, Vol. 89, No. 24, p. 6.
Gudigantala, N., Bicen, P., & Eom, M. (2016), “An examination of antecedents of conversion rates of e-commerce retailers”, Management Research Review, Vol. 39, No. 1, pp. 82-114.
Hakala, H., Niemi, L., & Kohtamäki, M. (2017), “Online brand community practices and the construction of brand legitimacy”, Marketing Theory, Vol. 17, No. 4, pp. 537-558.
Hansotia, B. J. & Rukstales, B. (2002), “Direct marketing for multichannel retailers: Issues, challenges, and solutions”, Journal of Database Marketing, Vol. 9, No. 3, pp. 259-266.
Heiens, R. A. & Narayanaswamy, R. (2016), “An examination of the e-mail and electronic relationship marketing practices of the USA’s top 500 online retailers”, International Journal of Electronic Customer Relationship Management, Vol. 10, No. 2, pp. 125-137.
Hoffman, D. & Fodor, M. (2010), “Can you measure the ROI of your social media marketing?”, MIT Sloan Management Review, Vol. 52, No. 1, pp. 41-49.
Hu, L. T. and Bentler, P. M. (1999), “Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives”, Structural Equation Modeling, Vol. 6, No. 1, pp. 1-55.
Humphreys, A. (2010), “Semiotic structure and the legitimation of consumption practices: The case of casino gambling”, Journal of Consumer Research, Vol. 37(October), pp. 490-510.
Humphreys, A. & Latour, K. A. (2013), “Framing the game: Assessing the impact of cultural representations on consumer perceptions of legitimacy”, Journal of Consumer Research, Vol. 40, No. 4, pp. 773-795.
Internet Retailer (2018), ‘The year ahead: The trends and key developments retailers can expect to encounter in 2019. Digital E-commerce”, accessed July 6, 2019, available at http://www.digitalcommerce360.com/IR.
Kates, S. M. (2005), “The legitimate brand”, in Advances in Consumer Research, Vol. 32, eds. Geeta Menon and Akshay R. Rao, Duluth, MN: Association for Consumer Research, pp. 643-643.
Kim, N., & Kim, W. (2018), “Do your social media lead you to make social deal purchases? Consumer-generated social referrals for sales via social commerce”, International Journal of Information Management, Vol. 39, pp. 38–48.
Kim, B. & Kim, Y. (2019), “Facebook versus Instagram: How perceived gratifications and technological attributes are related to the change in social media usage”, Social Science Journal, Vol. 56, No. 2, pp. 156–167.
Kline, R. B. (2016), Methodology in the social sciences. Principles and practice of structural equation modeling (4th ed.). New York, NY, US: Guilford Press.
Liu-Thompkins, Y. (2019), “A decade of online advertising research: What we learned and what we need to know”, Journal of Advertising, Vol. 48 (February), pp. 1-14.
Lobschat, L., Osinga, E. C. & Reinartz, W. J. (2017), “What happens online stays online? Segment-specific online and offline effects of banner advertisements”, Journal of Marketing Research, Vol. 54, No. 6, pp. 901-913.
Mahalanobis, P. C. (1936), “On the generalized distance in statistics”, Proceedings of the National Institute of Sciences of India, Vol. 2, No. 1, pp. 49–55.
Mulpuru, S., Harteveldt, H. H., & Roberge, D. (2011), “Five retail e-commerce trends to watch in 2011”, Forrester Research Report, (January 31).
Neijens, P. & Voorveld, H. (2015), “Cross-platform advertising: Current practices and issues for the future”, Journal of Advertising Research, Vol. 55, No. 4, pp. 362–367.
Osatuyi, B., & Turel, O. (2019), “Social motivation for the use of social technologies”, Internet Research, Vol. 29, No. 1, pp. 24–45.
Panagiotelis, A., Smith, M. S., & Danaher, P. J. (2014), “From Amazon to Apple: Modeling online retail sales, purchase incidence, and visit behavior”, Journal of Business & Economic Statistics, Vol. 32, No. 1, pp. 14–29.
Pavlov, V. O., Melville, N. & Plice, R. K. (2008), ‘Toward a sustainable email marketing infrastructure”, Journal of Business Research, Vol. 61, pp. 1191-1199.
Perdikaki, O., Kesavan, S., & Swaminathan, J. M. (2012), “Effect of traffic on sales and conversion rates of retail stores”, Manufacturing and Service Operations Management, Vol. 14, No. 1, pp. 145-163.
PR Newswire (2016), “Internet advertisement to grow 11.22% during the period 2016-2020”, PR Newswire US, 8 September, accessed June 17, 2019, available at
Rajgopal, S., Venkatachalam, M. and Kotha, S. (2002), “Managerial actions, stock returns, and earnings: The case of business-to-business Internet firms”, Journal of Accounting Research, Vol. 40, No. 2, pp. 529-556.
Ranganathan, C. and Grandon, E. (2002), “An exploratory examination of factors affecting online sales”, Journal of Computer Information Systems, Vol. 42, No. 3, pp. 87-93.
Risselada, H., Verhoef, P. C., & Bijmolt, T. H. A. (2014), “Dynamic effects of social influence and direct marketing on the adoption of high-technology products”, Journal of Marketing, Vol. 78, No. 2, pp. 52–68.
Scott, W. R. (1995), Institutions and Organizations, Newbury Park, CA: Sage.
Suchman, M. (1995), “Managing legitimacy: Strategic and institutional approaches”, Academy of Management Review, Vol. 20, No. 3, pp. 571-611.
Tabachnick, G. B. and Fidell, S. L. (2019), Using Mutlivariate Statistics, 7th edition, Boston: Pearson Publishing.
Tiago M.T.P.M.B. and Verissimo, J.M.C.(2014) Digital Marketing and social media: Why bother? Business Horizons 57, 703-708.
Tomoe, R. (2019), “Asking for directions: Is there a way for publishers to predict referral web traffic?”, Editor and Publisher, Vol. 152, No. 4, pp. 24-25.
Tost, L. (2011), “An integrative model of legitimacy judgments”, Academy of Management Review, Vol. 36, No. 4, pp. 686-710.
Vannoy, S. A. and Palvia, P. (2010), “The social influence model of technology adoption”, Communications of the ACM, Vol. 53, No. 6, pp. 149-153.
Van Slyke, C., Belanger, F., & Comunale, C. L. (2009), “A behavioral beliefs model of trustworthiness in consumer oriented e-commerce”, Journal of Electronic Commerce in Organizations, Vol. 7, No. 2, pp. 22-43.
Westland, J. C. (2010), “Lower bounds on sample size in structural equation modeling”, Electronic Commerce Research and Applications, Vol. 9, No. 6, pp. 476-487.
Youn, S. & Jin, S. V. (2017), “Reconnecting with the past in social media: The moderating role of social influence in nostalgia marketing on Pinterest”, Journal of Consumer Behaviour, Vol. 16, No. 6, pp. 565–576.
Zafarani, R., & Liu, H. (2016), “Users joining multiple sites: Friendship and popularity variations across sites”, Information Fusion, Vol. 28, pp. 83–89.
