New Product Development With A Customer-Centric Approach to Meet Dynamic Market Needs

This research explores the application of a customer-centric approach in new product development to meet the needs of a dynamic market. Using qualitative methods, including in-depth interviews, focus group discussions (FGDs), and analysis of company documentation, this study identifies the best strategies, challenges, and impacts of implementing this approach on product success. The results show that the integration of customer feedback and the effective use of analytical data can improve customer satisfaction and product sales performance. However, companies face challenges in terms of resource constraints, internal resistance, and consumer data collection. The study recommends companies to allocate adequate resources, involve teams in decision-making, and use advanced technology for data optimization. For further research, it is recommended that the focus be on applying a customer-centric approach across various industries and company scales, as well as solutions to overcome specific obstacles faced.

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Publication Details

Journal
Eduvest - Journal Of Universal Studies
Published
2025-02-20
DOI
https://doi.org/10.59188/eduvest.v5i2.1712
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

New Product Development With A Customer-Centric Approach to Meet Dynamic Market Needs

Dony Ari Nugroho
Eduvest - Journal Of Universal Studies
Big Data and Business Intelligence
article

New Product Development With A Customer-Centric Approach to Meet Dynamic Market Needs

Dony Ari Nugroho
article en

Abstract

This research explores the application of a customer-centric approach in new product development to meet the needs of a dynamic market. Using qualitative methods, including in-depth interviews, focus group discussions (FGDs), and analysis of company documentation, this study identifies the best strategies, challenges, and impacts of implementing this approach on product success. The results show that the integration of customer feedback and the effective use of analytical data can improve customer satisfaction and product sales performance. However, companies face challenges in terms of resource constraints, internal resistance, and consumer data collection. The study recommends companies to allocate adequate resources, involve teams in decision-making, and use advanced technology for data optimization. For further research, it is recommended that the focus be on applying a customer-centric approach across various industries and company scales, as well as solutions to overcome specific obstacles faced.

Eduvest - Journal Of Universal StudiesVol. 5(2)
Mercu Buana University (ID)
Openalex Percentile: Top 95%
Big Data and Business Intelligence
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