近年來，隨著人工智慧的快速發展，機器學習的技術不斷提升，有愈來愈多企業開始導入人工智慧以改善企業流程、提升作業效率或是提供顧客更好的服務，使得傳統人與人合作的工作模式逐漸轉變為人與機器共同協作，也因此如何有效管理人機協作之議題成為每間企業所關注的焦點與挑戰。本研究透過交織理論(Assemblage Theory)之微觀觀點，探討人與機器如何進行協作，進而歸納機器於人機協作團隊中不同角色定位之協作模式以及促成人機順利協作之重要因素。

本研究採用質性研究方法，透過多個案研究方法探討不同情境中人與機器之協作，並依據理論抽樣選定與理論具關聯之三間個案企業，為求資料之真實性，本研究之資料來源分為初級和次級資料，前者主要為研究者與個案公司人機協作管理者與協作者之深入訪談和實務場域之參觀，後者為受訪者所提供之內部資料、專訪報導等，透過多重證據之蒐集，以進行資料之三角驗證。

而本研究透過交織理論觀點為基礎，首先探討人與機器之協作，發現人與機器所傳達之意涵，即交織理論之表達角色，會影響人與機器之協作模式，進而歸納與分析出機器於人機協作團隊之角色定位分別是夥伴、助手以及學習者；此外，亦發現除了元素的物質角色與表達角色主要影響元素間之相互作用外，其轄域化與解轄域化過程同樣會對交織體之能動性產生影響，進而促進或限制人機協作之運作。最終，本研究期望透過上述之研究發現給予實務界將面臨人機協作情境之企業參考依據，於學術界補足交織理論與人機協作之管理缺口。

In recent years, along with the rapid development of artificial intelligence(AI), there are more and more enterprises introduced AI to improve business process and efficiency. Humans and machines work together becomes a trend, and how to manage humans and machines collaboration is an important issue for managers. Therefore, this study based on the micro-level viewpoint of the Assemblage Theory to explore how humans and machines collaborate, and conclude the role of machine in the human-machine collaboration(HMC) team as well as find out the important factors that facilitate the successful collaboration between humans and machines.

Therefore, this study adopted multiple-case design in qualitative research method to investigate the collaboration between humans and machines in the different situations. According to theoretical sampling, this study selected the three cases that corresponds to theory. Besides, the data in this study came from primary and secondary data. The former which collected from in-depth interviews and experience activities; the latter which collected from internal data, newspaper and magazines.

From this study, we found out that expressive role of the machines will influence the pattern of HMC and we further concluded that machine will play the role of partner, assistant and learner in the HMC team. Furthermore, the process of territorialization and deterritorialization, like institutions, norms or team climate will influence the agency of assemblage. Through the findings above, this study aimed to provide suggestions for companies which are going to introduce AI into business process.

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