Answer:
The middle class created a high and sustained demand for consumer goods
Explanation:
Before the advent of the industrial revolution, the social stratification of society is such that either you are in the lower class of the poor or you are part of the rich in the upper class. The industrial revolution of late 18th and early 19th centuries saw the springing up from the lower class a new set of wealthy and educated individuals which were later termed the middle class
This reach men and women are able to buy goods needed to satisfy their newly found social status which boost demand for new and quality goods produced as a result of industrial revolution.
List three services provided by a travel agent that benefit a business person who travels overseas frequently?
Familiarity with preferences for departure and return, seating is desirable and reliable
Answer:
TripAdvisor
Explanation:
TripAdvisor is a global travel company founded by Stephen Kaufer in February 2000.
Features available include price comparison, online reservations for transportation, reservation for lodging, travel experiences, and restaurant information.
The original idea was for a social media website that encouraged swapping of ideas relating to travelling. There was a button - Add your own review, and this promoted the growth and use of TripAdvisor because honest opinions are shared.
People tend to express their views on highs and lows of their experiences during holiday travels. This helps travelers make informed decisions when they want to travel, and also travel and hospitality services providers get to know areas they can improve.
Text mining helps companies tap into the massive volume of customer opinions expressed online.
<h3>What is text mining?</h3>
Similar to text analytics, text mining is the technique of extracting high-quality information from text. It is also known as text data mining. It entails "the automatic extraction of information from several written sources to create new, previously unknown information by computer."
The process of converting unstructured text into a structured format with the purpose of identifying significant patterns and fresh insights is known as text mining, also known as text data mining.
Natural language processing is used automatically in text mining to glean insightful information from unstructured material. Text mining automates the process of categorizing texts by sentiment, topic, and intent by converting data into knowledge that computers can comprehend.
To learn more about text mining visit:
brainly.com/question/28148157
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Answer:
1. Calculate the NPV for each option available for the project. (Do not round intermediate calculations. Enter your answers in dollars, not millions of dollars, e.g. 1,234,567.)
- go to market now = $744,000
- focus group = $852,000
- consulting firm = $916,000
2. Which action should the firm undertake?
The NPV is higher than the rst of the options.
Explanation:
expected payoffs:
- option 1 (go to market now) = (40% x $1.86 million) + 0 = $744,000
- option 2 (focus group) = (55% x $1.86 million) + 0 = $1,023,000
- option 3 (consulting firm) = (70% x $1.86 million) + 0 = $1,302,000
expected NPVs:
- option 1 (go to market now) = $744,000
- option 2 (focus group) = $1,023,000 - $171,000 = $852,000
- option 3 (consulting firm) = $1,302,000 - $386,000 = $916,000
go to market now
