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Developing scenario-oriented function modules in new product development projects based on big data-driven approach
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DOI：10.1080/00207543.2025.2501162.png)
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Abstract
En 中文
In new product development (NPD), one of the fundamental challenges is developing function modules based on usage scenarios. To enhance customer experience and satisfaction, this paper proposes a scenario-oriented approach to function modular development that leverages customer online reviews as a data source. First, to measure the scenario-oriented dependency strength among functions extracted from online reviews, we develop a method that integrates association rule mining with network modelling (i.e. a ‘scenario-function' network), incorporating scenario importance and scenario-function dependencies. Next, to evaluate the importance of scenarios, we introduce a model based on network weighted degree centrality and propose a method for quantifying the dependency strength between scenarios and functions. Finally, to partition the function network, we propose a modified GN clustering algorithm that incorporates edge weights and network information entropy. A smart home system is used as an example to illustrate the proposed big data-driven model. The results yield several managerial insights, such as methods for assessing the importance of scenarios and identifying the functions that should be incorporated into a module (or cluster).
Keywords:
Function modularisation
scenario-oriented
network modelling
big data-driven
new product development project
Journal
IF:
7.3
Papers:
1.1W
Citations:
3.7W
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