Divakaran, PKP, Palmer, AJ, Søndergaard, HA and Matkovskyy, R (2017) "Pre-launch prediction of market performance for short lifecycle products using online community data". Journal of Interactive Marketing, 38. pp. 12-28.

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Abstract

Prediction of sales for short life-cycle products can be problematic. Generic predictive models based on past launches may provide only crude historic data which are unsuited for distinctive, innovative products. This paper investigates the role of online communities in providing pre-launch data to predict post-launch sales. We argue that levels of awareness, word-of-mouth, expectations, and adoption intention prevailing within an online community for an upcoming product have an independent direct effect on the product's future sales. Additionally, we test the complementarity effect of these community variables by introducing a higher order construct called Pre-release Community Buzz, to demonstrate the incremental explanatory power of using pre-launch community variables to predict post-launch sales. Data for community variables were collected from a movie-based online community, and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). We found strong support for both direct and complementarity effects of community variables in predicting a movie's opening week sales. We also found that community variables mediate the effects of generic predictor variables such as MPAA ratings, star cast, production budget and competition on opening week sales. Tests for robustness demonstrated the value of community variables. Models which included community variables had higher predictive power than those without. Implications for theory and practice are presented.

Item Type: Article
Additional Information: This is the accepted author manuscript (AAM). The final published version (version of record) is available online via Elsevier at http://dx.doi.org/10.1016/j.intmar.2016.10.004 - please refer to any applicable terms of use of the publisher.
Uncontrolled Keywords: Online community, Prediction, Market performance, Short lifecycle products, New product launch
Subjects: H Social Sciences > H Social Sciences (General)
H Social Sciences > HF Commerce
Divisions: Faculty of Humanities and Social Sciences > Keele Management School
Depositing User: Symplectic
Date Deposited: 10 Nov 2016 09:42
Last Modified: 26 Mar 2019 15:57
URI: http://eprints.keele.ac.uk/id/eprint/2447

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