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Ai Digitalization and Automation of ...

Gangoda, Anuththara.

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Ai Digitalization and Automation of The Apparel Industry and The Human Workforce Skills.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Ai Digitalization and Automation of The Apparel Industry and The Human Workforce Skills./
作者:	Gangoda, Anuththara.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	131 p.
附註:	Source: Masters Abstracts International, Volume: 81-02.
Contained By:	Masters Abstracts International81-02.
標題:	Fashion. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13898330
ISBN:	9781085665971

Ai Digitalization and Automation of The Apparel Industry and The Human Workforce Skills.
Gangoda, Anuththara.

Ai Digitalization and Automation of The Apparel Industry and The Human Workforce Skills. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 131 p.

Source: Masters Abstracts International, Volume: 81-02.

Thesis (M.S.)--University of Delaware, 2019.

This item must not be sold to any third party vendors.

Artificial Intelligence (AI) digitalization and automation are transforming industries such as automotive, pharmaceutical and electronics at a blurring speed. As the technological pace of change in the apparel industry gains momentum, organizations across the apparel industry are facing a rapidly changing context for skills training and the development of the workforce. The purpose of this research was to explore the impacts of AI digitalization and automation in regards to apparel industry processes, through objectives seeking to better understand how the transition to AI is affecting skill competencies required for the human workforce. As well, this research aimed to vision how to train the workforce and with what methods to train the workforce, in an effort to best prepare (both workers and businesses) for Industrial shift to AI and automation. The study adopted a qualitative approach, conducting semi-structured interviews with 21 participants from 5 different countries (USA, Sri Lanka, China, India, Hong Kong). The study explored six research questions. While the results of this study were very comprehensive, the findings related to future apparel job functions will be highlighted. It was found that intellectual, innovative, and creative jobs will have a significant demand in the future of AI and automation. Results also showed that hard-skills (technical and digital skills) priority in skill-training of apparel employees, requiring a shift of focus from soft-skill training (management and behavioral skills). Findings from this study reveal significant collaborative opportunities between industry and academia, identifying and forecasting future skills requirements of the apparel workforce, and developing learning platforms to train employees on future skill needs. As well, findings suggest that sustainable and ethical practices are critical within the emerging technology space, implementation of ethics regarding technology and sustainability as well as policies of accountability will be critical for the future of the apparel industry.

ISBN: 9781085665971Subjects--Topical Terms:

549143
Fashion.

Ai Digitalization and Automation of The Apparel Industry and The Human Workforce Skills.
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520 $a Artificial Intelligence (AI) digitalization and automation are transforming industries such as automotive, pharmaceutical and electronics at a blurring speed. As the technological pace of change in the apparel industry gains momentum, organizations across the apparel industry are facing a rapidly changing context for skills training and the development of the workforce. The purpose of this research was to explore the impacts of AI digitalization and automation in regards to apparel industry processes, through objectives seeking to better understand how the transition to AI is affecting skill competencies required for the human workforce. As well, this research aimed to vision how to train the workforce and with what methods to train the workforce, in an effort to best prepare (both workers and businesses) for Industrial shift to AI and automation. The study adopted a qualitative approach, conducting semi-structured interviews with 21 participants from 5 different countries (USA, Sri Lanka, China, India, Hong Kong). The study explored six research questions. While the results of this study were very comprehensive, the findings related to future apparel job functions will be highlighted. It was found that intellectual, innovative, and creative jobs will have a significant demand in the future of AI and automation. Results also showed that hard-skills (technical and digital skills) priority in skill-training of apparel employees, requiring a shift of focus from soft-skill training (management and behavioral skills). Findings from this study reveal significant collaborative opportunities between industry and academia, identifying and forecasting future skills requirements of the apparel workforce, and developing learning platforms to train employees on future skill needs. As well, findings suggest that sustainable and ethical practices are critical within the emerging technology space, implementation of ethics regarding technology and sustainability as well as policies of accountability will be critical for the future of the apparel industry.
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