What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Marketing
- Machine learning
The scientist’s investigation covers issues in Process management, New product development, Knowledge management, Artificial intelligence and Voice of the customer.
His Process management research incorporates elements of Information and Communications Technology and Product-service system.
His New product development study combines topics from a wide range of disciplines, such as Product design and Design structure matrix.
His study explores the link between Product design and topics such as Product management that cross with problems in Design review.
Many of his research projects under Artificial intelligence are closely connected to Inherence with Inherence, tying the diverse disciplines of science together.
Enterprise relationship management and Customer to customer is closely connected to Customer intelligence in his research, which is encompassed under the umbrella topic of Voice of the customer.
His most cited work include:
- Customer Requirement Management in Product Development: A Review of Research Issues (142 citations)
- A systematic design approach for service innovation of smart product-service systems (117 citations)
- A strategy for acquiring customer requirement patterns using laddering technique and ART2 neural network (102 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include New product development, Product design, Process management, Knowledge management and Product-service system.
His work in the fields of Product management overlaps with other areas such as Voice of the customer.
The various areas that Chun-Hsien Chen examines in his Voice of the customer study include Customer to customer and Customer intelligence.
His biological study spans a wide range of topics, including Product lifecycle, Design knowledge and Artificial intelligence.
His studies deal with areas such as Supply chain, Key and Process as well as Process management.
The study incorporates disciplines such as Software engineering, Information and Communications Technology and Service innovation in addition to Product-service system.
He most often published in these fields:
- New product development (26.11%)
- Product design (20.00%)
- Process management (16.11%)
What were the highlights of his more recent work (between 2018-2021)?
- Product-service system (11.67%)
- Process management (16.11%)
- Information and Communications Technology (5.56%)
In recent papers he was focusing on the following fields of study:
His main research concerns Product-service system, Process management, Information and Communications Technology, Process and Context awareness.
The concepts of his Product-service system study are interwoven with issues in Software engineering, Service innovation and Engineering management.
He has researched Process management in several fields, including Optimal allocation, Key, Digital transformation and Design knowledge.
His Information and Communications Technology research is multidisciplinary, incorporating perspectives in New product development and Augmented Lagrangian method.
Many of his studies involve connections with topics such as Engineering design process and New product development.
His biological study deals with issues like Product lifecycle, which deal with fields such as Cyber-physical system and Systems engineering.
Between 2018 and 2021, his most popular works were:
- A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives (52 citations)
- A survey of smart product-service systems: Key aspects, challenges and future perspectives (47 citations)
- Smart, connected open architecture product: an IT-driven co-creation paradigm with lifecycle personalization concerns (38 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Marketing
- Machine learning
His primary scientific interests are in Product-service system, Process, Information and Communications Technology, Software engineering and Cyber-physical system.
His Product-service system study incorporates themes from Key and Service innovation.
The study incorporates disciplines such as Construction engineering, Fleet management and Process management in addition to Process.
His Information and Communications Technology study combines topics from a wide range of disciplines, such as Eye tracking and Data loss.
In Cyber-physical system, Chun-Hsien Chen works on issues like Product lifecycle, which are connected to Business model.
In his study, Ontology is strongly linked to Human–computer interaction, which falls under the umbrella field of New product development.
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