Insights from big Data Analytics in supply chain management: an all-inclusive literature review using the SCOR model

S Chehbi-Gamoura, R Derrouiche… - … Planning & Control, 2020 - Taylor & Francis
When supply chain management (SCM) intersects with Big Data Analytics (BDA),
uncountable opportunities for research emerge. Unfortunately, how analytics can be applied …

Review on recent advances in information mining from big consumer opinion data for product design

J **, Y Liu, P Ji, CK Kwong - … of Computing and …, 2019 - asmedigitalcollection.asme.org
In this paper, based on more than ten years' studies on this dedicated research thrust, a
comprehensive review concerning information mining from big consumer opinion data in …

Effects of big data analytics and traditional marketing analytics on new product success: A knowledge fusion perspective

Z Xu, GL Frankwick, E Ramirez - Journal of business research, 2016 - Elsevier
This study introduces the knowledge fusion taxonomy to understand the relationships
among traditional marketing analytics (TMA), big data analytics (BDA), and new product …

Cloud-based big data analytics for customer insight-driven design innovation in SMEs

Y Liu, A Soroka, L Han, J Jian, M Tang - International Journal of Information …, 2020 - Elsevier
Fast development of IT and ICT facilitate customers to post a large volume of their concerns
and expectation online, which are widely accepted to be a valuable resource for product …

An intuitionistic fuzzy data-driven product ranking model using sentiment analysis and multi-criteria decision-making

JH Dahooie, R Raafat, AR Qorbani, T Daim - … Forecasting and Social …, 2021 - Elsevier
With the advent of web 2.0 websites, the impact of customers on each other's purchasing
decisions has increased, and this has changed the decision-making procedure, attitude, and …

Big data analytics and competitive advantage: the strategic role of firm-specific knowledge

R Dahiya, S Le, JK Ring, K Watson - Journal of Strategy and …, 2022 - emerald.com
Purpose While advances in big data analytics (BDA) provide valuable business insights and
immense business value, many firms find it difficult to gain advantage from their BDA …

A data-driven cyber-physical approach for personalised smart, connected product co-development in a cloud-based environment

P Zheng, X Xu, CH Chen - Journal of Intelligent Manufacturing, 2020 - Springer
The rapid development of information and communication technology enables a promising
market of information densely product, ie smart, connected product (SCP), and also changes …

Dynamical mining of ever-changing user requirements: A product design and improvement perspective

H Sun, W Guo, H Shao, B Rong - Advanced Engineering Informatics, 2020 - Elsevier
Previous studies carried out customer surveys by questionnaires to collect data for analyzing
consumer requirements. In recent years, a large and growing body of literature has …

Natural language processing in-and-for design research

L Siddharth, L Blessing, J Luo - Design Science, 2022 - cambridge.org
We review the scholarly contributions that utilise natural language processing (NLP)
techniques to support the design process. Using a heuristic approach, we gathered 223 …

Forecasting the importance of product attributes using online customer reviews and Google Trends

H Yakubu, CK Kwong - Technological Forecasting and Social Change, 2021 - Elsevier
During the early stage of product design, product manufacturers seek to identify the most
relevant product features that will meet the demands and needs of consumers …