Case Analysis 4: Have Text, Will Travel: Can Airbnb Use Review Text Data to Optimize Profit?

Instructions 

Please prepare a short paper based on the case description by answering the following questions.
The answer to each question should be at least 200 words. The answer for each question should be
clearly labeled with clear heading. 
1. How do data influence Airbnb’s business in terms of the following aspects? 
  • A. Customer value propositions: How Airbnb creates values for customers 
  • B. Business processes: How Airbnb runs the business 
  • C. Competitive advantages: How Airbnb compete on the market with competitors

2. How could you calculate and estimate the potential revenue of a property on Airbnb using the
available data? Please justify your suggestion. 

3. In addition to the polarity score of positive or negative, please recommend other
dimensions/aspects/features Airbnb can possibly look into to make use of the review data. Please
find examples from the Airbnb website to illustrate your recommendation. 

4. Discuss how the unstructured and structured data can be used to improve Airbnb’s customer
values, business processes, and competitive advantages. 

5. Discuss the difficulties and challenges in mining the text data for decision-making in the case of
Airbnb. 

Note: Please submit your analysis paper on WebCampus via TurnItIn. The similarity percentage
should be below 15% to be graded.

Additional Reading: Uncovering the message from the mess of big
data

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