TY - JOUR
T1 - Formulation and prioritization of sustainable new product design in smart glasses development
AU - Lee, Carman Ka Man
AU - Lui, Lucas
AU - Tsang, Yung Po
N1 - Funding Information:
The authors would like to thank the Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, for supporting this research.
Funding Information:
This research is funded by the Laboratory for Artificial Intelligence in Design (Project Code: RP2-2), Hong Kong Special Administrative Region. Gratitude is extended to Innovation Technology Co., Ltd. for inspiring this research.
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/9
Y1 - 2021/9
N2 - Due to fierce competition in the global market, success in product innovation has always been challenging for most enterprises to be able to stand out in business values and product novelty. Typically, available technological features in the market are taken into consideration in the innovation process for differentiation from existing products. In order to enhance the likelihood of innovation success, project portfolio management (PPM) has recently been advocated to examine the supply chain performance of new product development (NPD) projects in terms of economic, social, and sustainable aspects. In this study, a two-stage methodology is proposed to formulate and select the most appropriate NPD project portfolio by means of multi-criteria decision-making (MCDM) approaches in probabilistic and group decision-making processes. In stage one, the available product features on the market are searched for and ranked to indicate a number of potential NPD pro-jects. In stage two, such projects are evaluated by the sustainable supply chain operation reference (SustainableSCOR) model to select the most sustainable NPD project for product development. Moreover, a case study of developing augmented reality (AR) smart glasses is conducted to demon-strate the above methodology, with the result indicating that the functions of voice commands, 3D visualization, and phone calls should be focused on for the next generation of smart glasses.
AB - Due to fierce competition in the global market, success in product innovation has always been challenging for most enterprises to be able to stand out in business values and product novelty. Typically, available technological features in the market are taken into consideration in the innovation process for differentiation from existing products. In order to enhance the likelihood of innovation success, project portfolio management (PPM) has recently been advocated to examine the supply chain performance of new product development (NPD) projects in terms of economic, social, and sustainable aspects. In this study, a two-stage methodology is proposed to formulate and select the most appropriate NPD project portfolio by means of multi-criteria decision-making (MCDM) approaches in probabilistic and group decision-making processes. In stage one, the available product features on the market are searched for and ranked to indicate a number of potential NPD pro-jects. In stage two, such projects are evaluated by the sustainable supply chain operation reference (SustainableSCOR) model to select the most sustainable NPD project for product development. Moreover, a case study of developing augmented reality (AR) smart glasses is conducted to demon-strate the above methodology, with the result indicating that the functions of voice commands, 3D visualization, and phone calls should be focused on for the next generation of smart glasses.
KW - New product development
KW - Project portfolio
KW - Smart glasses
KW - Supply chain performance
KW - Sustainability
UR - http://www.scopus.com/inward/record.url?scp=85115118711&partnerID=8YFLogxK
U2 - 10.3390/su131810323
DO - 10.3390/su131810323
M3 - Journal article
AN - SCOPUS:85115118711
SN - 2071-1050
VL - 13
JO - Sustainability (Switzerland)
JF - Sustainability (Switzerland)
IS - 18
M1 - 10323
ER -