Management Information Systems: Managing The Digital Firm -- Student Value Edition (16th Edition)
Management Information Systems: Managing The Digital Firm -- Student Value Edition (16th Edition)
16th Edition
ISBN: 9780135191927
Author: Kenneth Laudon, Jane Laudon
Publisher: PEARSON
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Chapter 13, Problem 4RQ

Explanation of Solution

Traditional Systems Life Cycle:

  • It is a highly structured process that has been in deployment since the 1950s.
  • It is generally a 5 or 6 step process or stages that a project would go through.
  • Also known as Systems Development Life Cycle (SDLC), is a very formal process with the below mentioned stages:
    • System Analysis
    • System Design
    • Programming
    • Testing of system
    • Conversion/ Implementation
    • Production a...

Explanation of Solution

Information Systems Prototyping:

  • It is a radical approach than traditional systems but is only a working model that is developed in a test environment.
  • It a repetitive, iterative approach and a hit or miss approach.

Advantages:

  • When initial end user requirements are not clear, this method is the best approach.
  • It is suitable for end-user interfaces.
  • It can expedite the process while working with end users.

Disadvantages:

  • There is high possibility for ignoring key steps in this process which is a dangerous flaw in getting the desired output on time...

Explanation of Solution

Application Software Package:

  • It is a complete solution offered in a single package for a user, requiring minimum adjustments or requirements.
  • The application providers cover product support for a period of time after delivery or through a setup of a maintenance contract.

Advantages:

  • It is a quick and easy solution for generalised processes in an organisation.
  • For example, basic features of accounting, human resources, and so on.
  • A cost-effective approach to buy as a package rather than implementing a system from scratch...

Explanation of Solution

End-User Development:

  • It provides user the ability to develop systems that require no or very less formal assistance from information system technologies.
  • These days fourth generation language programs ensure for development of these packages.

Advantages:

  • A solution for end user completely fulfilling its needs and requirements.
  • They can be developed so it is easy to be applied in an existing workplace.
  • These tools can provide an opportunity to improve programmer’s productivity.

Disadvantages:

  • They are not suitable for heavy use or massive amounts of data...

Explanation of Solution

Outsourcing of Information systems development:

  • Outsourcing is to allow a company with specialised knowledge and expertise to fulfil the user requirements.
  • Cost is a big driver and company can utilise outsourcing when information system is not its core operations or in case its resources are limited.

Advantages:

  • Company can save its resources as well as reduce costs by hiring external agencies rather than hiring additional manpower.
  • It can depend on specialists to provide high quality solutions rather than developing systems in its own premises.
  • Develop relationship and better experience...

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Students have asked these similar questions
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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