Event Title
Track
TAI
Presentation Type
Oral Presentation
Description
The textile industry is unique in its slow rate to adopt new technologies. The adoption of 3D knitting technologies (also known as seamless, complete-garment, WholeGarment, or Knit'n'Wear) has been no exception. The objectives of this research were to identify the factors that act as either drivers or barriers to the adoption of 3D knitting technology. A decision-making model was developed based on literature review and pertinent factors related to flat-bed seamless knitting. This model will be used as a guide to direct research into the adoption decision process of 3D knitting technology by small, medium and large firms and may help provide insight into the adoption of future technologies, as well. This research will be important for researchers, manufacturers, brands and machine manufacturers to understand the factors that contribute towards decisions to adopt new technology and to help gauge the future state of the industry.
Included in
Fashion Business Commons, Fashion Design Commons, Fiber, Textile, and Weaving Arts Commons
3D Knitting Technology: A Decision-Making Model
The textile industry is unique in its slow rate to adopt new technologies. The adoption of 3D knitting technologies (also known as seamless, complete-garment, WholeGarment, or Knit'n'Wear) has been no exception. The objectives of this research were to identify the factors that act as either drivers or barriers to the adoption of 3D knitting technology. A decision-making model was developed based on literature review and pertinent factors related to flat-bed seamless knitting. This model will be used as a guide to direct research into the adoption decision process of 3D knitting technology by small, medium and large firms and may help provide insight into the adoption of future technologies, as well. This research will be important for researchers, manufacturers, brands and machine manufacturers to understand the factors that contribute towards decisions to adopt new technology and to help gauge the future state of the industry.