scholarly journals Fostering Alliances with Customers for the Sustainable Product Creation

2018 ◽  
Vol 10 (9) ◽  
pp. 3204 ◽  
Author(s):  
Marjan Leber ◽  
Andrea Ivanišević ◽  
Jelena Borocki ◽  
Mladen Radišić ◽  
Beata Ślusarczyk
Keyword(s):  
Product Development ◽  
New Product Development ◽  
Quality Function Deployment ◽  
Research Question ◽  
New Product ◽  
Consumer Electronics ◽  
Product Development Process ◽  
Main Research ◽  
Sustainable Product ◽  
Domestic Appliances

Our paper analyzes close collaboration between a manufacturer of domestic appliances and consumer electronics and its customers. It reflects on the inclusion of open innovation by users that is presented in the paper on the case of the development of the refrigerator door handle, with an emphasis on design and functionality. The main research question we wanted to answer was whether a buyer (customer/consumer) might actively participate in the process of a new product development. It was interesting to test it in a highly dynamic industry setup since white goods are becoming an integral part of consumers’ life style and not just a mere home appliances used for routine housekeeping tasks. Research sample includes 146 respondents. We applied the conjoint analysis and quality function deployment (QFD) in order to test and understand how customers perceive the different attributes of a new product development process.

scholarly journals New Product Development Process Design for Small and Medium Enterprises: A Systematic Literature Review from the Perspective of Open Innovation

2021 ◽  
Vol 7 (2) ◽  
pp. 153
Author(s):  
Muhammad Iqbal ◽  
Amalia Suzianti
Keyword(s):  
Literature Review ◽  
Product Development ◽  
New Product Development ◽  
Process Design ◽  
Quality Function Deployment ◽  
Small And Medium Enterprises ◽  
New Product ◽  
Product Development Process ◽  
Design Activities ◽  
Medium Enterprises

New product development (NPD) is essential for large, as well as small and medium, enterprises (SMEs). Despite its importance for the economy, challenges remain in the NPD in SMEs. Product success is related with the NPD process, so it is important for SMEs to be able to design their NPD process. This paper aims to identify SME’s NPD research topics, the characteristics of the NPD process in SMEs, and important aspects to be considered for NPD process design. The literature review is done with the analysis of 99 selected academic articles from Scopus and ScienceDirect. Content analysis, bibliographic analysis, and clustering method (based on Pearson’s correlation coefficient) are used to conduct the identification. Less-formal processes, informal strategic planning, limited resources, need technology support, and lack of capabilities in certain fields are some of the characteristics of SME’s NPD. Collaborative product development, competitive advantage, information and communication technology (ICT), concurrent engineering, quality function deployment, and continuous improvement are important keywords based on previous research in SME’s NPD. Design activities in NPD, collaboration and source of innovation, and process modelling, tools, and techniques appear to be important aspects related with the SME’s NPD process.

Reliability and Accuracy of Bootstrap and Monte Carlo Methods for Demand Distribution Modeling

2011 ◽  
Author(s):  
Swithin S. Razu ◽  
Shun Takai
Keyword(s):  
Monte Carlo ◽  
Product Development ◽  
Conjoint Analysis ◽  
New Product Development ◽  
Demand Uncertainty ◽  
New Product ◽  
Product Development Process ◽  
Choice Data ◽  
Product Concept ◽  
Demand Distribution

Estimation of demand is one of the most important tasks in new product development. How customers come to appreciate and decide to purchase a new product impacts demand and hence profit of the product. Unfortunately, when designers select a new product concept early in the product development process, the future demand of the new product is not known. Conjoint analysis is a statistical method that has been used to estimate a demand of a new product concept from customer survey data. Although conjoint analysis has been increasingly incorporated in design engineering as a method to estimate a demand of a new product design, it has not been fully employed to model demand uncertainty. This paper demonstrates and compares two approaches that use conjoint analysis data to model demand uncertainty: bootstrap of respondent choice data and Monte Carlo simulation of utility estimation errors. Reliability of demand distribution and accuracy of demand estimation are compared for the two approaches in an illustrative example.

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