Loughborough University
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Leveraging social network sites for new product launch

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journal contribution
posted on 2017-04-10, 13:08 authored by Deborah Roberts, Marina Candi, Mathew Hughes
Purpose – The ability to make use of social network sites (SNSs) to promote new products and facilitate positive word of mouth around new product launch (NPL) presents an important opportunity. However, the mechanisms and motivations of SNS users are not well understood and businesses frequently fail to realize these opportunities. This paper examines some of the forces that motivate people to spend time on SNS sites and how these motivations are related with people’s propensity to engage in behaviours that can be beneficial for NPL. Design/methodology/approach – Hypotheses are tested using data collected using an online survey from a broad sample of SNS users worldwide. Findings – People who spend time on SNSs to be challenged, to escape, or to connect with others are more likely than other users to pay attention to advertisements on SNS. Users that spend time on SNSs in the pursuit of information, to be challenged, or to connect with others are more likely than other users to provide word of mouth reviews and recommendations about products. Research limitations/implications – The sample is comprised of 40% of Facebook users. Practical implications – By understanding what motivates SNS users, firms can identify potentially valuable users and develop a more strategic and targeted approach to NPL. This can help firms turn disappointing social media campaigns into more successful ones. Originality/value – This study provides new insights about the use of SNSs for NPL and what motivates users to engage in behaviours that are beneficial to NPL.



  • Business and Economics


  • Business

Published in

Industrial Management & Data Systems


ROBERTS, D., CANDI, M. and HUGHES, M., 2017. Leveraging social network sites for new product launch. Industrial Management & Data Systems, 117(10), pp. 2400-2416.


© Emerald


  • AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

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This paper was accepted for publication in the journal Industrial Management & Data Systems and the definitive published version is available at https://doi.org/10.1108/IMDS-11-2016-0472




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