Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/97039
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Title: Driving product sales performance using product prelaunch linguistics analytic approach
Authors: Ng, W 
Cho, V 
Issue Date: Apr-2020
Source: Computer science and information technology, Apr. 2020, v. 10, no. 4, p. 25-46
Abstract: This paper uses a natural linguistics analytic approach, by studying product prelaunch events’ script, to investigate the determinants of driving the product sales. This research contributes to the theoretical framework of identifying the customer values which impact the product sales. Moreover, we investigate how product sales be driven by the optimism attitude and affective forecasting, which are vocal during product prelease events. Through the pilot study of analysing the essential words, which represent the underlying customer values from the script of Apple Inc. product prelaunch events, we found that product functional and experiential/ hedonic of customer values drive product sales. Induced affective forecasting message negatively moderated the impact of cost/ sacrifices values on product sales. In addition to the theoretical framework contributions, this research provides practical guidelines of how to shape the product prelaunch speech to maximize the sales of the to-be-released products.
Keywords: Product preannouncement
Product sales
Signalling
Communications
Speech recognition
Publisher: AIRCC Publishing Corporation
Journal: Computer science and information technology 
ISSN: 2231-5403
DOI: 10.5121/csit.2020.100403
Description: 6th International Conference on Natural Language Processing (NATP 2020), Copenhagen, Denmark, April 25-26, 2020
Rights: © CS & IT-CSCP 2020
Posted with permission of the publisher.
Appears in Collections:Conference Paper

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