کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10322851 | 660879 | 2011 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Comparing ANFIS and SEM in linear and nonlinear forecasting of new product development performance
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Though the hi-tech industry has focused on value innovation and improving the quality of the new product development (NPD) process to drive new product performance, new product success has not changed dramatically over the years. This study presents a novel approach based on structural equation modeling (SEM) and adaptive neuro-fuzzy inference system (ANFIS) to forecast value innovation and the effects of the quality of the NPD process on NPD performance. Results demonstrate that value innovation directly affects NPD performance as well as the nonlinear relationships between the quality of NPD processes and NPD performance, and that ANFIS achieves better forecasting performance than the SEM technique. The ANFIS model effectively explains the nonlinear relationships that SEM cannot. This paper thus offers a new perspective on forecasting and modeling useful to both researchers and practitioners.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 38, Issue 6, June 2011, Pages 6498-6507
Journal: Expert Systems with Applications - Volume 38, Issue 6, June 2011, Pages 6498-6507
نویسندگان
Yung-Ching Ho, Ching-Tzu Tsai,