More information is not better: examining appropriate information for estimating sales performance in concept testing
Takumi Kato,
Susumu Kamei,
Takumi Ootsubo and
Yosuke Ichiki
Journal of Business Analytics, 2023, vol. 6, issue 3, 188-202
Abstract:
Research on the requirements for improving the quality of concept testing is scarce because of the high degree of confidentiality in new product developments. In this study, we clarified the factors that can improve sales performance estimation accuracy in concept testing. A randomised controlled trial for the Japanese personal computer market showed that presenting the product and corporate brand yielded the most accurate estimations. Other factors (design, price, and product colour) did not show significant effects. Even a good concept may not increase consumers’ purchase intention if there is lack of clarity about the product’s brand.
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/2573234X.2023.2167670 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tjbaxx:v:6:y:2023:i:3:p:188-202
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjba20
DOI: 10.1080/2573234X.2023.2167670
Access Statistics for this article
Journal of Business Analytics is currently edited by Dursan Delen
More articles in Journal of Business Analytics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().