Understanding new products’ market performance using Google Trends

Journal article


Chumnumpan, P. and Xiaohui, S 2019. Understanding new products’ market performance using Google Trends. Australasian Marketing Journal. 27 (2), pp. 91-103. https://doi.org/10.1016/j.ausmj.2019.01.001
AuthorsChumnumpan, P. and Xiaohui, S
Abstract

This paper seeks to empirically examine diffusion models and Google Trends’ ability to explain and nowcast the new product growth phenomenon. In addition to the selected diffusion models and Google Trends, this study proposes a new model that incorporates the two. The empirical analysis is based on the cases of the iPhone and the iPad. The results show that the new model exhibits a better curve fit among all the studied ones. In terms of nowcasting, although the performance of the new model differs from that of Google Trends in the two cases, they both produce more accurate results than the selected diffusion models.

KeywordsBig data; Google Trends; New product; Diffusion; Nowcasting
Year2019
JournalAustralasian Marketing Journal
Journal citation27 (2), pp. 91-103
PublisherElsevier
ISSN1441-3582
Digital Object Identifier (DOI)https://doi.org/10.1016/j.ausmj.2019.01.001
Publication dates
Online06 Mar 2019
Publication process dates
Accepted10 Jan 2019
Deposited07 May 2020
Accepted author manuscript
License
Output statusPublished
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https://repository.canterbury.ac.uk/item/8v2z4/understanding-new-products-market-performance-using-google-trends

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Accepted author manuscript
Chumnumpan P, Shi X 2019.pdf
License: CC BY-NC-ND 4.0

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