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dc.contributor.author樊晉源zh_TW
dc.contributor.author張瑞芬zh_TW
dc.contributor.author簡均樺zh_TW
dc.contributor.author蘇怡安zh_TW
dc.contributor.author巫胤璇zh_TW
dc.contributor.author李旺蒼zh_TW
dc.contributor.authorC-Y Fangen_US
dc.contributor.authorAmy J.C. Trappeyen_US
dc.contributor.authorC-H Chienen_US
dc.contributor.authorI-An Suen_US
dc.contributor.authorY-H Wuen_US
dc.contributor.authorW-T Leeen_US
dc.date.accessioned2023-06-16T08:12:23Z-
dc.date.available2023-06-16T08:12:23Z-
dc.date.issued2023-04-01en_US
dc.identifier.issn1023-9863en_US
dc.identifier.urihttp://dx.doi.org/10.29416/jms.202304_30(2).0003en_US
dc.identifier.urihttp://hdl.handle.net/11536/160734-
dc.description.abstract企業面對外部環境不斷的變化,結合數位科技與創新營運模式,即時因應環境、市場變遷所做的對應策略和行動,以利其整體營運競爭優勢,此一過程稱之為數位轉型。無論政府在制定產業升級或企業體研擬提升營運效能之策略時,判斷特定產業之數位轉型現狀與趨勢,成為決策支援的重要課題。本文基於全球各個產業在智慧化、數位化上蓬勃多元的發展,結合不同文獻中數位轉型發展階段,定義出符合我國智慧商業的數位轉型階段與特性。並運用106年至109年經濟部智慧商業服務推動應用案例文檔及相關文獻作為寶貴的原資料集,進行案例產業型態定義及歸類。依照數位轉型階段及特性之定義,結合文字探勘、資料探勘、機器學習等先進文本和數據分析方法,進行各種商業類別的數位轉型導入階段,以及其智慧科技應用種類之判認。本研究以科學分析方法,探究當前智慧商業數位轉型現狀、特質、趨勢及精進策略;並聚焦於四個零售案例進行個案比較及分析,深入了解智慧零售導入之關鍵技術與趨勢。本文所提之數位轉型趨勢分析之流程架構、方法組合與案例演練,可延伸運用在其他智慧商業數位轉型之個案研究中,做為整體商業活動智慧化、數位化推動智庫的有效分析工具。zh_TW
dc.description.abstractDigital transformation is a changing and renewal process that companies, in order to maintaining their competitiveness in the marketplace, must carry out constantly adopting advanced information technologies and innovative business models. Thus, it is important to understand the status and trend of digital transformation (DT) in any given industry or enterprise while developing effective DT strategies. This research investigates 65 cases of smart business DT project reports (2017~2020), as valuable document source, to identify the business categories and their DT classifications. Deploying technology mining techniques (including text mining, data mining and machine learning modeling methods), this study analyzes Taiwan's smart business development trends, critical DT technology adoption, and successful cases in their respective industries. Further, the DT case examples of four smart retailors are depicted and compared in detailed analysis. The research outcome helps companies and industries understand the status quo of DTs for businesses, key case references, and future strategies of DT for smart business developments across industries.en_US
dc.language.isozh_TWen_US
dc.publisher國立陽明交通大學經營管理研究所zh_TW
dc.publisherInstitute of Business and Magement, National Yang Ming Chiao Tung Universityen_US
dc.subject文字探勘zh_TW
dc.subject機器學習zh_TW
dc.subject數位轉型zh_TW
dc.subject智慧商業zh_TW
dc.subject智慧零售zh_TW
dc.subjectText Miningen_US
dc.subjectMachine Learningen_US
dc.subjectDigital Transformationen_US
dc.subjectSmart Businessen_US
dc.subjectSmart Retailingen_US
dc.title探索智慧商業數位轉型之現況與趨勢-以智慧零售為例zh_TW
dc.titleStatus and Trend Analysis of Digital Transformation for Smart Business - The Case Examples of Smart Retailingen_US
dc.typeCampus Publicationsen_US
dc.identifier.doi10.29416/jms.202304_30(2).0003en_US
dc.identifier.journal管理與系統zh_TW
dc.identifier.journalJournal of Management and Systemsen_US
dc.citation.volume30en_US
dc.citation.issue2en_US
dc.citation.spage197en_US
dc.citation.epage227en_US
Appears in Collections:Journal of Management and System