A Space of Apt Product Designs Based on Market Information

This paper describes procedures that can be adopted during product development, so that there is a higher chance that new products are properly designed before being placed on the market. To implement the suggested procedures, market data are first obtained, then processed in a specified way for the new products to reflect relevant market information. This means putting into use suitable data-processing algorithms and information technologies, based on the type of collected information. The text deals with two information scenarios in this regard, the first assuming that not much is known about customers’ desires and the second working with larger amounts of more specific customer data. While the former requires a more sophisticated approach to product design, theoretically speaking, the latter is simpler to handle from the theoretical point of view, but potentially less so from a practical perspective, given the amounts of data. These theoretical and practical problems are discussed in what follows, and their possible solutions are presented.

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Publication Details

Journal
Applied Sciences
Published
2024-09-28
DOI
https://doi.org/10.3390/app14198771
Citations
1
Primary Topic
Consumer Market Behavior and Pricing
Type
article
Field-Weighted Citation Impact
0.44
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article

A Space of Apt Product Designs Based on Market Information

Filip Tošenovský
1 citations
Applied Sciences
Consumer Market Behavior and Pricing
0.44
article

A Space of Apt Product Designs Based on Market Information

Filip Tošenovský
article en
1 citations

Abstract

This paper describes procedures that can be adopted during product development, so that there is a higher chance that new products are properly designed before being placed on the market. To implement the suggested procedures, market data are first obtained, then processed in a specified way for the new products to reflect relevant market information. This means putting into use suitable data-processing algorithms and information technologies, based on the type of collected information. The text deals with two information scenarios in this regard, the first assuming that not much is known about customers’ desires and the second working with larger amounts of more specific customer data. While the former requires a more sophisticated approach to product design, theoretically speaking, the latter is simpler to handle from the theoretical point of view, but potentially less so from a practical perspective, given the amounts of data. These theoretical and practical problems are discussed in what follows, and their possible solutions are presented.

Applied SciencesVol. 14(19)
VSB - Technical University of Ostrava (CZ)
Openalex Percentile: Top 27%
Consumer Market Behavior and Pricing
0.44
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