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Influence of opinion leadership identification criteria: The purchase of smartphones

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  • Romero-Rodríguez, Margarita E.
  • Rodríguez-Donate, M. Carolina
  • Hernández-García, M. Carmen
  • Rodríguez-Brito, M. Gracia

Abstract

The role of opinion leaders in disseminating information on technology-type products in the market, such as smartphones, is of great interest to tech sector companies. From a survey conducted among young university students, the main distinguishing features of opinion leaders in smartphone purchases are analysed through alternative identification criteria. The results show that some of the distinguishing traits include greater expenditure in the acquisition of smartphones, lower frequency of replacement, having owned a large number of these devices, and showing a more positive emotional bond when purchasing smartphones. Moreover, the criterion used in identification of the opinion leader is relevant.

Suggested Citation

  • Romero-Rodríguez, Margarita E. & Rodríguez-Donate, M. Carolina & Hernández-García, M. Carmen & Rodríguez-Brito, M. Gracia, 2020. "Influence of opinion leadership identification criteria: The purchase of smartphones," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    • Handle: RePEc:eee:joreco:v:56:y:2020:i:c:s0969698920301181
    DOI: 10.1016/j.jretconser.2020.102155
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    References listed on IDEAS

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    1. Raghuram Iyengar & Christophe Van den Bulte & Thomas W. Valente, 2011. "Opinion Leadership and Social Contagion in New Product Diffusion," Marketing Science, INFORMS, vol. 30(2), pages 195-212, 03-04.
    2. Goldsmith, Ronald E. & Desborde, Rene, 1991. "A validity study of a measure of opinion leadership," Journal of Business Research, Elsevier, vol. 22(1), pages 11-19, January.
    3. Somkiat Eiamkanchanalai & Nuttapol Assarut, 2016. "Consumer innovativeness and opinion leadership: revisiting consumer characteristics in new product diffusion model," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 18(1), pages 15-27.
    4. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    5. Flores-Zamora, Javier & García-Madariaga, Jesús, 2017. "Does opinion leadership influence service evaluation and loyalty intentions? Evidence from an arts services provider," Journal of Retailing and Consumer Services, Elsevier, vol. 39(C), pages 114-122.
    6. Jan Kratzer & Christopher Lettl, 2009. "Distinctive Roles of Lead Users and Opinion Leaders in the Social Networks of Schoolchildren," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 36(4), pages 646-659, December.
    7. Zhang, Honghong & Fam, Kim-Shyan & Goh, Tiong-Thye & Dai, Xin, 2018. "When are influentials equally influenceable? The strength of strong ties in new product adoption," Journal of Business Research, Elsevier, vol. 82(C), pages 160-170.
    8. Thakur, Ramendra & Angriawan, Arifin & Summey, John H., 2016. "Technological opinion leadership: The role of personal innovativeness, gadget love, and technological innovativeness," Journal of Business Research, Elsevier, vol. 69(8), pages 2764-2773.
    9. Javier Flores Zamora & Jesus Garcia-Madariaga, 2017. "Does opinion leadership influence service evaluation and loyalty intentions? Evidence from an arts services provider," Post-Print hal-01768872, HAL.
    10. McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
    11. Bearden, William O & Etzel, Michael J, 1982. "Reference Group Influence on Product and Brand Purchase Decisions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(2), pages 183-194, September.
    12. Moldovan, Sarit & Muller, Eitan & Richter, Yossi & Yom-Tov, Elad, 2017. "Opinion leadership in small groups," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 536-552.
    13. Vernette, ÉRic, 2004. "Targeting Women's Clothing Fashion Opinion Leaders in Media Planning: An Application for Magazines," Journal of Advertising Research, Cambridge University Press, vol. 44(1), pages 90-107, March.
    Full references (including those not matched with items on IDEAS)

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