進行本篇研究的起因源自於想要更加瞭解資訊管理歷年來的發展趨勢，也希望能藉由探討資訊管理的演進而達到本研究的目的，即更加認識什麼是資訊管理以及資管過去的研究領域與現在的有何不同。而本研究的重要性有兩個面向：在研究領域方面，以ICIS來研究資訊管理趨勢的相關論文不多，希望能從不同的角度來發掘更多相關議題；在教育領域方面則是希望本研究的研究成果能為未來資訊管理相關系所在增設課程時作為參考。 本研究以ICIS中，西元1997年至2021年的論文來當作研究資料，並以紮根理論的研究方法來進行分析。我們在進行分析時發現，西元1997年至2010年間的所有論文中出現次數最多次的關鍵字為「知識管理」。西元2011年至2021年間出現最多次的關鍵字為「社群媒體」，它也同時是西元1997年至2021年間出現次數最多的關鍵字。而西元2020年與2021年這兩年間「機器學習」與「人工智慧」這兩個關鍵字開始成為當年出現次數最多的關鍵字。另外「信任」這個關鍵字也出現在許多的論文中。我們利用這五個關鍵字來進行紮根理論的分析，最後找出了18個類目，並且發現在這些類目中，西元2011年至2021年間論文數量最多的類目是「人類行為」。而這個類目與「機器學習」、「人工智慧」這兩個關鍵字連結後，有發現主題是有關「人機協作」方面的論文，可能在未來此主題的論文數量會增加。而在近年ICIS也增加了新興領域的研究主題。另外我們也用關鍵字來做出許多嘗試，比如用關鍵字間的連結找到IT/IS的發展歷程。 而本篇論文有其研究限制。由於西元1980年至1996年間的ICIS論文沒有關鍵字，因此我們無法用關鍵字來分析這段期間資訊管理的趨勢，如果未來需要更進一步來研究這段期間的變化則需要另尋它法。 ;The reason for conducting this study is to understand more about the development trend of MIS over the years. We hope to achieve the purpose of this research by exploring the evolution of MIS, that is, to better understand what MIS is and how the past research field of MIS is different from the current one. There are two critical aspects of this study. The first one is in the research field. There are not many related papers on the trend of MIS with ICIS. We hope to discuss more associated issues from different perspectives. The second one is in the field of education. We expect the related department of information management can use the research results of this study as a reference for future courses in the. This study uses ICIS papers from 1997 to 2021 as research materials and analyzes them with the grounded theory research method. When we did our analysis, we found that the most frequently occurring keyword in all papers between 1997 and 2010 was “Knowledge Management.” The most frequented keyword between 2011 and 2021 was “Social Media,” and it was also the most frequented keyword between 1997 and 2021. In 2020 and 2021, the keywords “Machine Learning” and “Artificial Intelligence” became the most frequent keywords in those years. In addition, the keyword “Trust” also appeared in many papers. We use these five keywords to conduct a grounded theory analysis and identify 18 categories. I find that among these categories, the category with the most significant number of papers between 2011 and 2021 is “Human Behavior.” After this category is linked to the two keywords “Machine Learning” and “Artificial Intelligence,” it is found that the topic is related to “Human-AI Collaboration,” and the number of papers on this topic may increase in the future. In recent years, ICIS has also increased research topics in emerging areas. In addition, we also use keywords to make many attempts, such as using the connections between keywords to find the development process of IT/IS. However, this paper has its research limitations. Since there are no keywords in the ICIS papers from 1980 to 1996, we cannot use keywords to analyze the trend of MIS during this period. If we need to study further the changes during this period in the future, we need to find another way.
