隨著人們對於資源循環利用有新的見解後，經濟模式產生了變化，共享經濟也就在這時候出現，它讓不具有資產所有權的參與者也能夠共同分擔成本，以交換或是租用資源達到協同消費的目的，但是隨著頻繁使用後，漸漸產生出許多風險與問題，而這些風險問題並沒有受到很大的重視和改善，尤其在共享旅宿-Airbnb中，房客和屋主和平台業者之間常常因為缺乏有效的溝通和合作而產生許多誤會與誤解，讓許多有意願使用Airbnb的消費者呈現觀望狀態，所以如何製定出一套有效的安全機制是值得被重視的議題，最終目的就是讓共享旅宿平台傳達出一種讓更多消費者願意安心使用的信念，同時，也讓更多人瞭解共享旅宿平台上的服務與體驗也是一個安心且有保障的選擇。
  本研究將以共享旅宿-Airbnb為例，進一步探討風險議題該如何被衡量與重視，我們先歸納出在Airbnb的使用經驗上可能面臨的風險細項，並使用QFD得到使用者心聲和FMEA來評估風險屬性，結合兩種方法建構出一份風險檢核表，提供平台業者自我檢測風險，最後，以案例研究的方式，使用TOPSIS方式來進行其他中小型共享旅宿平台的評估與分析。

As people have new insights into resource recycling, the economic model has changed, and the sharing economy has emerged at this time. It allows participants who do not have asset ownership to share costs together in exchange or rent resources. The purpose of collaborative consumption, but with frequent use, many risks and problems gradually emerge, and these risk problems have not received much attention and improvement, especially in Airbnb, tenants and homeowners and platform operators Because of the lack of effective communication and cooperation, many misunderstandings and misunderstandings often occur, and many consumers who are willing to use Airbnb present a wait-and-see state. Therefore, how to develop an effective security mechanism is a topic worthy of attention. The ultimate goal is to let The shared travel platform conveys a belief that more consumers are willing to use it at the same time. At the same time, it also allows more people to understand the services and experiences on the shared travel platform. It is also a safe and secure choice.
  In this study, we will use the Airbnb as an example to further discuss how risk issues should be measured and evaluated. We first summarize the possible risks in Airbnb's experience and use QFD to obtain user voices and FMEA to evaluate risk attributes, combined with two methods to construct a risk checklist, provide platform operators with self-detection of risks. Finally, we use TOPSIS to evaluate and analyze other small and medium-sized shared travelodge platforms in case study.

Contents

Contents	I
List of Tables	II
List of Figure	III
Chapter 1 Introduction	1
1.1 Research background	1
1.2 Research motivation and purpose	2
Chapter 2 Literature Review	4
2.1 The rise of the platform economy	4
2.2 Perceived risks	5
2.3 Collection and classification of Airbnb risk factors	5
Chapter 3 Research methods	7
3.1 The QFD methodology	7
3.2 The FMEA methodology	8
3.3 Perform QFD risk assessment and FMEA Self-Platform Risk Checklist	9
3.4 TOPSIS assessment platform risks	10
3.5 Perform TOPSIS to assess risks on other platforms	11
Chapter 4 Results and Case study	13
4.1 Results of QFD risk assessment	13
4.1.1 Explaining data results	13
4.2 Constructed the FMEA Self-Platform Risk Checklist	16
4.2.1 Explaining data results	16
4.2.2 How to use the FMEA Self-Platform Risk Checklist	16
4.3 Score other online platform	19
4.3.1 Use FMEA Self-Platform Risk Checklist to score	19
4.3.2 Use TOPSIS to evaluate the platform	20
Chapter 5 Conclusion	23
5.1 Limitations of the study	25
5.2 Research direction	26
References	26

List of Tables

Table 2-1. List of risk factors	6
Table 4-1. QFD analysis table	15
Table 4-2. FMEA risk factor ranking table	17
Table 4-3. FMEA Self-Platform Risk Checklist	18
Table 4-4. Scores evaluated by platform operators	19
Table 4-5. Risk weights	20
Table 4-6. Corresponding scores of various platform operators in each risk category	20
Table 4-7. Comparison of PIS (+) and NIS (-) results with the values of various operators	21
Table 4-8. TOPSIS ranking results and FMEA Self-Platform Risk Checklist score comparison table	23

List of Figure

Figure 3-1.The House of Quality	7

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