國立虎尾科技大學 |

The Impact of Artificial Intelligence on the Future Workforce : = The Case of Advanced Manufacturing.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	The Impact of Artificial Intelligence on the Future Workforce :/
其他題名:	The Case of Advanced Manufacturing.
作者:	Oh, Sang Hoo.
面頁冊數:	1 online resource (161 pages)
附註:	Source: Dissertations Abstracts International, Volume: 85-01, Section: B.
Contained By:	Dissertations Abstracts International85-01B.
標題:	Information science. -
電子資源:	click for full text (PQDT)
ISBN:	9798379737344

The Impact of Artificial Intelligence on the Future Workforce : = The Case of Advanced Manufacturing.
Oh, Sang Hoo.

The Impact of Artificial Intelligence on the Future Workforce :The Case of Advanced Manufacturing. - 1 online resource (161 pages)

Source: Dissertations Abstracts International, Volume: 85-01, Section: B.

Thesis (Ph.D.)--The Florida State University, 2023.

Includes bibliographical references

Artificial Intelligence (AI) is considered as one of the most influential technologies for the coming decades. Over the past decade, AI has rapidly advanced and is having an impact on our society. AI is also expected to have a transformative impact on the future workforce. While we expect AI to increase productivity, it has the potential to replace the existing workforce. Accordingly, the recent advancements in AI are drawing more attention to debate on the future workforce. For this reason, a more rigorous empirical investigation is needed to measure the extent to which AI will result in replace jobs and what competencies employers expect and workers should be trained to perform.This study aims to examine the impact of AI on advanced manufacturing (AM) workforce. Recent progress in AI technology is at the core of AM as AI includes different technologies that will lead to the digitization of factories. While AI promises to revolutionize the field AM, little is known about how ready the AM workforce may be to make best use of AI and how best AM technicians can be readied for a career that is infused with AI. Therefore, in this research, not only I explored the AM workforce's readiness, as expressed though industry competencies, to use AI, but also examined the areas in which AI will affect the AM workforce's competencies, skills, and knowledge.This research applied sequential explanatory mixed-method study in which quantitative data results are considered in a qualitative phase. First, I collected and analyzed the quantitative data using natural language processing (NLP). I applied NLP to extract and compare noun, verbs, and verb-noun pairs in AI patents and the Advanced Manufacturing Competency Model. The second, qualitative, phase builds on the first, quantitative phase, and the two phases are connected in the intermediate stage in the study. For qualitative phase, expert panel review was done by conducting focus group interview.My study found that while the AI patents and the Advanced Manufacturing Competency Model do not completely topically overlap, they do reflect each other in some of the key areas such as data, device, information, and system. Also, AI technology has the potential to perform certain activities related to identify, process, and control in the field of AM industry. Moreover, AI technology functions overlap with a significant proportion of, academic competencies, workplace competencies, and industry competencies, with 76%, 70%, and 93% respectively. The results of this study suggest the potential for AI to perform competencies in various domains does not necessarily mean that AI will replace, enhance, or collaborate with humans. The integration of AI in these domains will require careful consideration of the roles of both AI and human workers to optimize process efficiency and quality. The study also has implications for research, practice (Library and Information Science Curriculum), and industry.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798379737344Subjects--Topical Terms:

561178
Information science.
Subjects--Index Terms:

Advanced manufacturingIndex Terms--Genre/Form:

554714
Electronic books.

The Impact of Artificial Intelligence on the Future Workforce : = The Case of Advanced Manufacturing.
LDR:04390ntm a22003857 4500 001 1151800
005 20241118135824.5
006 m o d
007 cr mn ---uuuuu
008 250605s2023 xx obm 000 0 eng d
020 $a 9798379737344
035 $a (MiAaPQ)AAI30314323
035 $a AAI30314323
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Oh, Sang Hoo. $3 1478628
245 1 4 $a The Impact of Artificial Intelligence on the Future Workforce : $b The Case of Advanced Manufacturing.
264 0 $c 2023
300 $a 1 online resource (161 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 85-01, Section: B.
500 $a Advisor: Mardis, Marcia A. .
502 $a Thesis (Ph.D.)--The Florida State University, 2023.
504 $a Includes bibliographical references
520 $a Artificial Intelligence (AI) is considered as one of the most influential technologies for the coming decades. Over the past decade, AI has rapidly advanced and is having an impact on our society. AI is also expected to have a transformative impact on the future workforce. While we expect AI to increase productivity, it has the potential to replace the existing workforce. Accordingly, the recent advancements in AI are drawing more attention to debate on the future workforce. For this reason, a more rigorous empirical investigation is needed to measure the extent to which AI will result in replace jobs and what competencies employers expect and workers should be trained to perform.This study aims to examine the impact of AI on advanced manufacturing (AM) workforce. Recent progress in AI technology is at the core of AM as AI includes different technologies that will lead to the digitization of factories. While AI promises to revolutionize the field AM, little is known about how ready the AM workforce may be to make best use of AI and how best AM technicians can be readied for a career that is infused with AI. Therefore, in this research, not only I explored the AM workforce's readiness, as expressed though industry competencies, to use AI, but also examined the areas in which AI will affect the AM workforce's competencies, skills, and knowledge.This research applied sequential explanatory mixed-method study in which quantitative data results are considered in a qualitative phase. First, I collected and analyzed the quantitative data using natural language processing (NLP). I applied NLP to extract and compare noun, verbs, and verb-noun pairs in AI patents and the Advanced Manufacturing Competency Model. The second, qualitative, phase builds on the first, quantitative phase, and the two phases are connected in the intermediate stage in the study. For qualitative phase, expert panel review was done by conducting focus group interview.My study found that while the AI patents and the Advanced Manufacturing Competency Model do not completely topically overlap, they do reflect each other in some of the key areas such as data, device, information, and system. Also, AI technology has the potential to perform certain activities related to identify, process, and control in the field of AM industry. Moreover, AI technology functions overlap with a significant proportion of, academic competencies, workplace competencies, and industry competencies, with 76%, 70%, and 93% respectively. The results of this study suggest the potential for AI to perform competencies in various domains does not necessarily mean that AI will replace, enhance, or collaborate with humans. The integration of AI in these domains will require careful consideration of the roles of both AI and human workers to optimize process efficiency and quality. The study also has implications for research, practice (Library and Information Science Curriculum), and industry.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Information science. $3 561178
653 $a Advanced manufacturing
653 $a Workforce readiness
653 $a Natural language processing
653 $a Academic competencies
653 $a Industry competencies
655 7 $a Electronic books. $2 local $3 554714
690 $a 0723
690 $a 0800
710 2 $a The Florida State University. $b Information. $3 1185298
710 2 $a ProQuest Information and Learning Co. $3 1178819
773 0 $t Dissertations Abstracts International $g 85-01B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30314323 $z click for full text (PQDT)