본문

서브메뉴

Exploring Key Decision Makers' Perceptions and Experiences of Extended Reality Use for Workforce Development in Mining Field Services
Exploring Key Decision Makers' Perceptions and Experiences of Extended Reality Use for Wor...
Exploring Key Decision Makers' Perceptions and Experiences of Extended Reality Use for Workforce Development in Mining Field Services

상세정보

자료유형  
 학위논문 서양
최종처리일시  
20260202104711
ISBN  
9798293844739
DDC  
370
저자명  
Eichorn, Becky.
서명/저자  
Exploring Key Decision Makers Perceptions and Experiences of Extended Reality Use for Workforce Development in Mining Field Services
발행사항  
[Sl] : University of Pennsylvania, 2025
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2025
형태사항  
159 p
주기사항  
Source: Dissertations Abstracts International, Volume: 87-03, Section: A.
주기사항  
Advisor: Moneta, Larry.
학위논문주기  
Thesis (Ed.D.)--University of Pennsylvania, 2025.
초록/해제  
요약Significant workforce issues confront the mining sector, such as a lack of skilled workers, an aging workforce that is approaching retirement, and the need for new skills due to rapid technological advancements. Field service workers' skill development can be accelerated with extended reality (XR), which includes augmented reality, virtual reality, and mixed reality. Nevertheless, XR adoption in the mining industry is still quite low, despite its proven advantages. To determine the factors that influence the adoption of XR for field service workforce development, this qualitative study examined the perspectives and experiences of 16 decision makers from global mining companies. This study, which used semistructured interviews, identified themes like workforce skill shortages, operational efficiency, competitive pressure, and safety enhancement as important facilitators; the main adoption barriers were leadership involvement, organizational readiness, technological infrastructure limitations, and financial investment. The results emphasize the significance of focused organizational change management techniques, strong cross-functional cooperation, and centralized XR strategies. The study highlights XR's contribution to workforce transformation, especially when combined with predictive analytics and artificial intelligence, and it makes strategic recommendations for future talent development. Mining companies looking to use immersive learning technologies to improve field technician competencies sustainably meet changing workforce demands and preserve competitive advantage in an increasingly technologically advanced industrial landscape will find practical advice in these insights. 
일반주제명  
Education
일반주제명  
Educational technology
일반주제명  
Vocational education
키워드  
Augmented reality
키워드  
Extended reality
키워드  
Field service
키워드  
Trade workers
키워드  
Virtual reality
기타저자  
University of Pennsylvania Penn Chief Learning Officer
기본자료저록  
Dissertations Abstracts International. 87-03A.
전자적 위치 및 접속  
로그인 후 원문을 볼 수 있습니다.

MARC

 008260126s2025        us                              c    eng  d
■001000017358501
■00520260202104711
■006m          o    d                
■007cr#unu||||||||
■020    ▼a9798293844739
■035    ▼a(MiAaPQ)AAI32118600
■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a370
■1001  ▼aEichorn,  Becky.
■24510▼aExploring  Key  Decision  Makers'  Perceptions  and  Experiences  of  Extended  Reality  Use  for  Workforce  Development  in  Mining  Field  Services
■260    ▼a[Sl]▼bUniversity  of  Pennsylvania▼c2025
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2025
■300    ▼a159  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  87-03,  Section:  A.
■500    ▼aAdvisor:  Moneta,  Larry.
■5021  ▼aThesis  (Ed.D.)--University  of  Pennsylvania,  2025.
■520    ▼aSignificant  workforce  issues  confront  the  mining  sector,  such  as  a  lack  of  skilled  workers,  an  aging  workforce  that  is  approaching  retirement,  and  the  need  for  new  skills  due  to  rapid  technological  advancements.  Field  service  workers'  skill  development  can  be  accelerated  with  extended  reality  (XR),  which  includes  augmented  reality,  virtual  reality,  and  mixed  reality.  Nevertheless,  XR  adoption  in  the  mining  industry  is  still  quite  low,  despite  its  proven  advantages.  To  determine  the  factors  that  influence  the  adoption  of  XR  for  field  service  workforce  development,  this  qualitative  study  examined  the  perspectives  and  experiences  of  16  decision  makers  from  global  mining  companies.  This  study,  which  used  semistructured  interviews,  identified  themes  like  workforce  skill  shortages,  operational  efficiency,  competitive  pressure,  and  safety  enhancement  as  important  facilitators;  the  main  adoption  barriers  were  leadership  involvement,  organizational  readiness,  technological  infrastructure  limitations,  and  financial  investment.  The  results  emphasize  the  significance  of  focused  organizational  change  management  techniques,  strong  cross-functional  cooperation,  and  centralized  XR  strategies.  The  study  highlights  XR's  contribution  to  workforce  transformation,  especially  when  combined  with  predictive  analytics  and  artificial  intelligence,  and  it  makes  strategic  recommendations  for  future  talent  development.  Mining  companies  looking  to  use  immersive  learning  technologies  to  improve  field  technician  competencies  sustainably  meet  changing  workforce  demands  and  preserve  competitive  advantage  in  an  increasingly  technologically  advanced  industrial  landscape  will  find  practical  advice  in  these  insights. 
■590    ▼aSchool  code:  0175.
■650  4▼aEducation
■650  4▼aEducational  technology
■650  4▼aVocational  education
■653    ▼aAugmented  reality
■653    ▼aExtended  reality
■653    ▼aField  service
■653    ▼aTrade  workers
■653    ▼aVirtual  reality
■690    ▼a0515
■690    ▼a0703
■690    ▼a0710
■690    ▼a0747
■71020▼aUniversity  of  Pennsylvania▼bPenn  Chief  Learning  Officer.
■7730  ▼tDissertations  Abstracts  International▼g87-03A.
■790    ▼a0175
■791    ▼aEd.D.
■792    ▼a2025
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17358501▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

미리보기

내보내기

chatGPT토론

Ai 추천 관련 도서


    신착도서 더보기
    최근 3년간 통계입니다.

    소장정보

    • 예약
    • 소재불명신고
    • 나의폴더
    • 우선정리요청
    • 비도서대출신청
    • 야간 도서대출신청
    소장자료
    등록번호 청구기호 소장처 대출가능여부 대출정보
    TF16235 전자도서 대출가능 마이폴더 부재도서신고 비도서대출신청 야간 도서대출신청

    * 대출중인 자료에 한하여 예약이 가능합니다. 예약을 원하시면 예약버튼을 클릭하십시오.

    해당 도서를 다른 이용자가 함께 대출한 도서

    관련 인기도서

    로그인 후 이용 가능합니다.