| Abstract: | 隨著知識經濟的時代來臨，商業科技應用的核心議題並非在選擇那些新興前瞻科技，而是如何將服務數位化結合營運模式創新、消費旅程接觸點服務改善，達到服務體驗提昇的目的。因此，智慧科技的導入應該輔以消費者行為研究、營運模式創新研究，透過對於消費者在服務場域環境內的科技使用行為、行動裝置使用歷程、數位服務接受度等研究成果，設計使服務提供者、消費者、科技服務者三贏的環境。近年來，醫療人員對數位資源服務的需求持續提升以累積重要醫學知識，醫學族群具有高資源使用量、工作時間長、主題研究專一之特性，因此對於醫學族群的服務提供必須特別規劃且準確，以降低失誤造成的生命風險。本研究目的為醫療資源服務創新之研究，利用中區醫院醫療人員在服務過程中產生的資料，以資料驅動創新方法為分析基礎，探討醫療人員使用習慣之不同以提供差異化之服務模式，進而提升服務功能以提高其滿意度。本研究針對醫療數位資源服務使用者資料，利用資料驅動創新模式建商業智慧服務創新，以供廠商在發展服務策略時，系統化的方式瞭解使用者的習慣，提出適合的服務方案以提高使用者滿意度與使用率。在影響因素的與點擊行為的關係中，藉由貝式網路分析法得到位址、資料庫、使用日期、時間、文件分類對點擊有明顯影響關係，可協助服務系統的改善以創造更人性化與更方便使用之服務系統。
With the advent of the era of knowledge economy, the core issue of commercial technology application is not to choose those emerging forward-looking technologies, but how to combine service digitalization with operational model innovation, consumer journey contact point service improvement, and achieve the purpose of service experience improvement. Therefore, the introduction of smart technology should be supplemented by consumer behavior research, business model innovation research, design and service through research on the use of technology in the service field environment, the use of mobile devices, and the acceptance of digital services. A win-win environment for providers, consumers, and technology providers. In recent years, the demand for digital resource services by medical personnel has continued to increase to accumulate important medical knowledge. The medical community has the characteristics of high resource usage, long working hours, and specific subject research. Therefore, the service provision for the medical community must be specially planned and accurate. To reduce the risk of life caused by mistakes. The purpose of this study is to study the innovation of medical resource service, to use the data generated by the medical staff of the Central Hospital in the service process, to use the data-driven innovation method as the basis of analysis, to explore the different usage habits of medical personnel to provide differentiated service models, and then Improve service capabilities to increase their satisfaction. This study is aimed at the medical digital resource service user data, and uses the data-driven innovation model to build business intelligence service innovation, so that manufacturers can understand the user's habits in a systematic way when developing service strategies, and propose appropriate service plans to improve users. Satisfaction and usage. In the relationship between the influencing factors and the click behavior, the address, database, date of use, time, and file classification have a significant influence on clicks by shell network analysis, which can help improve the service system to create more humanity and a more convenient service system. |
