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The Sharing Economy: Sharing or Exposing?

Authored by Andrea Siu

Social Studies

University

Used 13+ times

The Sharing Economy: Sharing or Exposing?
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8 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following are examples of sharing economy?

eBay

Uber

Airbnb

All of the above

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following are NOT advantages provided to consumers through using a sharing economy?

Lower cost of services

Higher autonomy

Increased diversity of product choices

None of the above

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Sharing economy allows service providers higher autonomy because they enjoy more flexibility in:

Working arrangements

Choosing their employers

Filtering unwanted customers

Mode of operation

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Hosts of Airbnb differ from sellers in a traditional market setting in that:

Their services are offered with exemption from taxes.

They only provide services to people within their target demographic.

They do not have to inject startup capital or enter an entrepreneurship.

As they are not considered commercial business, the government cannot enforce laws to regulate the hosts or their services.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Anonymity becomes a problem when:

The identify of consumers cannot be identified.

The credibility of service providers cannot be verified.

It is leveraged with related tools to access personal information of others.

All of the above.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Past incidents stemming from anonymity issues DO NOT include:

Monetary frauds

“Phantom rides” on Uber

Unsatisfactory services provided

Damage to property of Airbnb hosts

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Another method that allows bike-sharing companies to gain extra revenue and poses privacy issues is

Selling personal information of their users to third parties

Investing in other retail modes such as selling bikes

Offering other services to users based on big data analysis

Analyze locational data of users for advertisement purposes

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