Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

Article Types

Countries / Regions

Search Results (2)

Search Parameters:
Keywords = Fuzzy Front End (FFE)

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
21 pages, 506 KB  
Article
Fuzzy Front-End Vertical External Involvement, Corporate Social Responsibility and Firms’ New Product Development Performance in the VUCA Age: From an Organizational Learning Perspective
by Jiaxu Huang, Haiqing Hu and Yong Wang
Sustainability 2023, 15(1), 280; https://doi.org/10.3390/su15010280 - 24 Dec 2022
Cited by 6 | Viewed by 3087
Abstract
Fuzzy front-end (FFE) innovation is the important initial phase of manufacturing companies’ new product development (NPD) process, which can be a factor that determines manufacturers’ NPD performance and sustainable growth. This study seeks to investigate the role of FFE vertical external involvement (FFE [...] Read more.
Fuzzy front-end (FFE) innovation is the important initial phase of manufacturing companies’ new product development (NPD) process, which can be a factor that determines manufacturers’ NPD performance and sustainable growth. This study seeks to investigate the role of FFE vertical external involvement (FFE customer involvement and FFE supplier involvement) in advancing firms’ corporate social responsibility (CSR) and NPD performance in the COVID-19-influenced age of volatility, uncertainty, complexity and ambiguity (VUCA). This study adopts an organizational learning (OL) perspective as its theoretical foundation in constructing a comprehensive framework by developing a series of hypotheses. In addition, we test the mediating effect of CSR on the relationship between FFE vertical external involvement and firm NPD performance. We use the structural equation modeling method to examine our hypotheses empirically based on data collected from 548 Chinese manufacturing companies. The findings illustrate that FFE customer involvement and FFE supplier involvement are vital drivers of a firm’s CSR engagement. Furthermore, we find that FFE supplier involvement plays a more significant role than FFE customer involvement in contributing to NPD performance. Finally, we find that a firm’s CSR engagement positively mediates the relationship between FFE vertical external involvement and NPD performance. Full article
Show Figures

Figure 1

14 pages, 1019 KB  
Article
Gravitational Intelligent Decision-Making Model at the Fuzzy Front End with Extrinsic Idea Integration by the K-Means Algorithm
by Onur Emre Kurt and Ozalp Vayvay
Systems 2022, 10(5), 194; https://doi.org/10.3390/systems10050194 - 21 Oct 2022
Cited by 1 | Viewed by 2444
Abstract
If the dynamic fuzziness of the Front End (FE) part of New Product Development (NPD) cannot be treated in a timely manner, fuzziness accumulates over other parts of NPD hence NPD can result in costly mistakes. The authors tried to remedy this strategically [...] Read more.
If the dynamic fuzziness of the Front End (FE) part of New Product Development (NPD) cannot be treated in a timely manner, fuzziness accumulates over other parts of NPD hence NPD can result in costly mistakes. The authors tried to remedy this strategically critical problem by implementing mainstream theoretical/methodological approaches, but they found inherent weaknesses of each. The purpose of this study is to bring an objective and intelligent decision-making model to FE so as to lessen fuzziness of it. Model quantizes ideas based on pillars, and re-clusters them with every new idea addition thanks to combining non-mainstream approaches like K-means, distance-based algorithm with gravitational theory inspiration, an accumulation of idea and an exponential function. Study showed that fuzziness of FE can be lessened by quantizing, and objectively managing. The founded core reasons of fuzziness can guide practitioners and authors for better understanding and coping with fuzziness of FE; moreover, the model can be used by companies. Introducing an objective and intelligent decision-making model working like a human brain to FE is a unique idea that has not been tried ever before. Full article
(This article belongs to the Section Systems Theory and Methodology)
Show Figures

Figure 1

Back to TopTop