EBK EXPERIENCING MIS,
EBK EXPERIENCING MIS,
8th Edition
ISBN: 9780134792729
Author: BOYLE
Publisher: PEARSON CUSTOM PUB.(CONSIGNMENT)
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Chapter 3, Problem 2ARQ

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Original purpose of the five forces model:

The original purpose of the five forces model is to determine the profitability of an industry...

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Types of forces:

  • There are competitive forces, which involves in strength factors of switching costs and customer loyalty...

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Competitive forces:

  • One of the competitive forces is substitutes, whose strength factors include lower price and perceived benefits the same.
  • Another competitive force is the new entrants, ...

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Bargaining power forces:

The two ...

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Five Forces operating on Falcon security:

  • Bargaining power of customers
  • Threat of substitutions
  • Bargaining power of suppliers
  • Threat of new entrants
  • Rivalry

Bargaining power of customers:

It is described as market of output. The customer can buy the products from many suppliers, so the buyer has alternative option.

The factors, which affect the bargaining power of customers, are:

  • Switching cost of the buyer
  • Availability of buyer information
  • Availability of substitute product existing in the market.

Threat of substitutions:

The first force is threat of substitution. It affects the customers to found different way of what you do. It uses different technology to achieve the same economic need.

The factors, which affect the threat of substitution, are:

  • Switching cost of the buyer
  • Substitute product existing in the market
  • Price performance of substitute.

Bargaining power of suppliers:

It is described as market of input. The person who makes the product will sell on the flour. There is no option to buy from others...

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Design a dynamic programming algorithm for the Longest Alternating Subsequence problem described below: Input: A sequence of n integers Output: The length of the longest subsequence where the numbers alternate between being larger and smaller than their predecessor The algorithm must take O(n²) time. You must also write and explain the recurrence. Example 1: Input: [3, 5, 4, 1, 3, 6, 5, 7, 3, 4] Output: 8 ([3, 5, 4, 6, 5, 7, 3, 4]) Example 2: Input: [4,7,2,5,8, 3, 8, 0, 4, 7, 8] Output: 8 ([4, 7, 2, 5, 3, 8, 0,4]) (Take your time with this for the subproblem for this one)
Design a dynamic programming algorithm for the Coin-change problem described below: Input: An amount of money C and a set of n possible coin values with an unlimited supply of each kind of coin. Output: The smallest number of coins that add up to C exactly, or output that no such set exists. The algorithm must take O(n C) time. You must also write and explain the recurrence. Example 1: Input: C24, Coin values = = [1, 5, 10, 25, 50] Output: 6 (since 24 = 10+ 10+1+1 +1 + 1) Example 2: Input: C = 86, Coin values = [1, 5, 6, 23, 35, 46, 50] Output: 2 (since 86 = 46+35+5)
Design a dynamic programming algorithm for the Longest Common Subsequence problem de- scribed below Input: Two strings x = x1x2 xm and y = Y1Y2... Yn Output: The length of the longest subsequence that is common to both x and y. . The algorithm must take O(m n) time. You must also write and explain the recurrence. (I want the largest k such that there are 1 ≤ i₁ < ... < ik ≤ m and 1 ≤ j₁ < ... < jk ≤ n such that Xi₁ Xi2 Xik = Yj1Yj2 ··· Yjk) Example 1: Input: x = 'abcdefghijklmnopqrst' and y = 'ygrhnodsh ftw' Output: 6 ('ghnost' is the longest common subsequence to both strings) Example 2: Input: x = 'ahshku' and y = ‘asu' Output: 3 ('asu' is the longest common subsequence to both strings)
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