著作名稱: | HCI in Business, Government and Organizations. eCommerce and Consumer Behavior |
年度: | 2019 |
類別: |
學術專書
|
摘要: | As information technology becomes more varied, the era of the Internet has come. The connection among the retailing industry, the Internet and online/offline integration is centered surrounded the consumers. The pattern of Internet management across all channel integration called consumer behavior. The dependence of full-path retailing on the use of Wi-Fi has become heavier and heavier as days go by, with the consumers being the core and connecting the management pattern of the Internet. It integrates critical factors in a cross-channel fashion. It develops Apps for 7–11 convenience stores and can solve future online Internet and offline store integration and create the best management values. This study combine the views that the literature in Taiwan on real/virtual integration, supported by the results of the questionnaires devised by AHP experts. It can test the crucial factors involved in the success of real/virtual integration.
Twelve crucial factors responsible for the real/virtual integration of cloud stores were found and listed based on previous literature. After eighteen 7–11 middle management, the order of priority were calculated according to AHP analysis as follows:
The weighted average of the development of APP is 26.1%, ranking first.
The weighted average of full-path retailing pattern is 12.7%, ranking second.
The weighted average of automatic cashier is 8.1%, ranking third.
The weighted average of finance technology is 7.7%, ranking fourth.
It is hoped that via this study retailing 4.0 and big data online-offline integration ideas or practice; driving APP development transformation and the connection between the internal convenience store with seamless virtual market and offline equipment real store. It provides experience in full-path purchase. |
關鍵字: | 7-Eleven; O2O; Retailing industry; Key success factors; Analytic hierarchy process analysis |
著作名稱: | The concepts of big data applied in personal knowledge management |
年度: | 2017 |
類別: |
期刊論文
Journal of Knowledge Management
|
摘要: |
Purpose
The purpose of this paper is to demonstrate the applications of big data in personal knowledge management (PKM).
Design/methodology/approach
Five conventional knowledge management dimensions, namely, the value of data, data collection, data storage, data application and data presentation, were applied for integrating big data in the context of PKM.
Findings
This study concludes that time management, computer usage efficiency management, mobile device usage behavior management, health management and browser surfing management are areas where big data can be applied to PKM.
Originality/value
While the literature discusses PKM without considering the impact of big data, this paper aims to extend existing knowledge by demonstrating the application of big data in PKM. |
關鍵字: | Big data, Personal knowledge management, Data collection, Data storage, Implications of big data for personal applications, Value of data |
著作名稱: | Biometrics technology evaluating and selecting model building |
年度: | 2013 |
類別: |
期刊論文
Technology Analysis & Strategic Management
|
摘要: | Biometrics has been vigorously promoted around the world as a means to strengthen security and privacy in the IT world. Biometrics has been applied in specific areas for decades and prolif- erated in customer and resident electronic products to enhance security and privacy. This study evaluated biometrics through conventional technology assessment considerations combined with viewpoints from the particularity of biometric technologies and provides suggestions for selection. In order to achieve biometric technology assessment, we examined how different evaluating objects, technology assessment, biometric competence and key elements of biomet- ric, lead to corresponding biometric technologies. The relative importance of each object was evaluated using the analytic hierarchy process. The weight of each object was adjusted sepa- rately to construct evaluating scenarios by sensitivity analysis. The results show that fingerprint recognition, iris recognition and palm print recognition are three biometric technologies that could meet the three objects requirements at the same time. |
關鍵字: | biometric technology assessment; analytic hierarchy process; sensitivity analysis |
著作名稱: | Apply Fuzzy Ontology and FML to Knowledge Extraction for University Governance and Management |
年度: | 2013 |
類別: |
期刊論文
Journal of Ambient Intelligence and Humanized Computing
|
摘要: | The Higher Education Evaluation and Accreditation Council of Taiwan (HEEACT) supported by the Taiwan government has annually executed universities’ assessment process similar to the one in the United States since 2005. The HEEACT holds numerous assessment workshops and develops many basic standards to encourage each university to set its educational goals, measure the success in achieving these goals, ask some tough questions for the university, and meet these questions’ requirements to continuous improvement in the university. In this paper, we apply the fuzzy ontology and fuzzy markup language (FML) to perform the knowledge extraction for university governance and management, and adopt National University of Tainan (NUTN), Taiwan, as an example to construct the FML-based fuzzy ontology for knowledge management. In addition, the FML-based knowledge management system which processes a simulation for NUTN self-assessment and forecasts whether NUTN passes the 2011 HEEACT university assessment or not is also presented in this paper. Finally, NUTN fully passed 2011 university assessment in Taiwan and the results of our simulations are similar to the opinions of the HEEACT reviewers. It shows that the proposed fuzzy ontology and FML-based knowledge management system can work effectively for university governance and management. |
關鍵字: | Fuzzy ontology Fuzzy markup language (FML) University governance University assessment Knowledge management |
著作名稱: | 創新服務設計運用於臺南老屋再造之研究 |
年度: | 2018 |
類別: |
期刊論文
科技管理學刊
|
摘要: | 本研究以服務設計角度探討提供顧客價值之服務發展,並參考資策會創新應用服務研究所發展之系統化服務研發方法-「服務體驗工程方法」(Service Experience Engineering, S.E.E.)之服務塑模程序,透過系統化之研究步驟進行服務設計流程,並運用服務設計工具及方法協助研究者將顧客行為、體驗與需求結構化,萃取出發展創新服務之契機。並採單一個案質性研究,探討老屋再造經營者,如何透過服務設計發覺核心價值並創造競爭優勢。透過適當的服務設計模型、方法與工具之輔助,本研究將服務設計過程中的分析結果與想法具象化,考量服務機能發展完整度及服務缺失改善效益,本研究針對產品服務模型中尚未滿足顧客需求的「點餐流程」及「出餐流程」進行服務流程的討論與改良,並藉由服務藍圖找出服務潛在失效點,並提出實務建議作為個案經營者服務決策之參考。 |
關鍵字: | 服務創新 ; 服務設計 ; 老屋再造 ; 服務體驗工程方法 |
著作名稱: | 用模糊層級分析法評選新興生物辨識科技 Applying Fuzzy AHP to Evaluate and Select Emerging Biometric Technologies |
年度: | 2013 |
類別: |
期刊論文
科技管理學刊
|
摘要: | 生物辨識科技(Biometric technologies)近幾年在資訊產業被廣泛地推廣來強化安全性與隱私性,並形成一個新興產業。以往生物辨識只有應用在特殊領域,但目前逐漸開始應用在消費型電子產品來解決安全性與隱私性問題,所以本研究根據傳統科技評估準則結合生物辨識科技本身特性,透過模糊層級分析法(fuzzy analytic hierarchy process,FAHP)來評選與建議。另外,本研究利用最佳解模糊化之績效值(non-fuzzy best performance,BNP)來協助達成多目標評準之目的。雖然研究結果首先顯示傳統科技評估準則仍是佔了重要的比重,接著才是生物辨識科技個別的競爭性和生物辨識科技的基本要素,但仍指出研究目標科技的特性需要被特別考慮。結論顯示指紋辨識(fingerprint recognition)、虹膜辨識(iris recognition)和臉部辨識(face recognition) 在進行生物辨識技術評選時,具有較大的優勢。 |
關鍵字: | 生物辨識技術 ; 科技評選 ; 模糊層級分析法 ; 最佳解模糊化之績效值 |
著作名稱: | 運用知識地圖建構於飛機維修管理之研究-以軍機商維A公司為例 |
年度: | 2016 |
類別: |
期刊論文
飛地安全
|
摘要: | 航太產業向來以勞力、知識密集著稱,而軍機維修具有品質要求高、數量少、維修裝備投粢大、隱密性高的特性,故專業知識的資產累積更為重要,維修知識是慢慢累積而成,並藉由實務面產生寶貴的經驗,其知識具有複雜性、動態性而且涉其情境氛圍中,而隱性知識具有高度個人化,增加其編碼、儲存及外顯化難度。
組織推動知識管理時,「知識地圖」是居於擴大效益、效率增進的一個重要的角色,知識地圖是用來描繪組織所擁有的知識及其分佈情況,可有效將知識傳播與分享,進而協助組織利用知識,大幅提升人員技術水準,降低組織訓練成本,增進組織核心能力。
就知識管理角度,本研究係針對組織所處特性與能力,辨識現階段所需策略性知識,藉由知識擷取、儲存、分享、創新的知識管理生命週期,進而落實知識管理活動;另就技術觀點,係採以人為主體,營造人際互動與溝通的方鋨,可直接進行知識的創造、移轉與運用,有效提升專業技能及排除窒礙能力,並藉由知識地圖的呈現,將資訊有效整合,提升學習效能。 |
關鍵字: | 知識管理,飛機維修,知識地圖 |
著作名稱: | Key Success Factors Analysis of Integration of O2O into 7-Eleven Convenient Store |
年度: | 2019 |
類別: |
會議論文
|
摘要: | As information technology becomes more varied, the era of the Internet has come. The connection among the retailing industry, the Internet and online/offline integration is centered surrounded the consumers. The pattern of Internet management across all channel integration called consumer behavior. The dependence of full-path retailing on the use of Wi-Fi has become heavier and heavier as days go by, with the consumers being the core and connecting the management pattern of the Internet. It integrates critical factors in a cross-channel fashion. It develops Apps for 7–11 convenience stores and can solve future online Internet and offline store integration and create the best management values. This study combine the views that the literature in Taiwan on real/virtual integration, supported by the results of the questionnaires devised by AHP experts. It can test the crucial factors involved in the success of real/virtual integration.
Twelve crucial factors responsible for the real/virtual integration of cloud stores were found and listed based on previous literature. After eighteen 7–11 middle management, the order of priority were calculated according to AHP analysis as follows:
The weighted average of the development of APP is 26.1%, ranking first.
The weighted average of full-path retailing pattern is 12.7%, ranking second.
The weighted average of automatic cashier is 8.1%, ranking third.
The weighted average of finance technology is 7.7%, ranking fourth.
It is hoped that via this study retailing 4.0 and big data online-offline integration ideas or practice; driving APP development transformation and the connection between the internal convenience store with seamless virtual market and offline equipment real store. It provides experience in full-path purchase |
關鍵字: | 7-Eleven, O2O, Retailing industry, Key success factors, Analytic hierarchy process analysis |