Suggested answers to discussion questions


Give some examples of systems analysis decisions that involve a trade-off between each of the following pairs of objectives



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rais12 SM CH20
20.6 Give some examples of systems analysis decisions that involve a trade-off between each of the following pairs of objectives:

There are many examples of the tradeoffs between information system objectives. One example is provided here for each pair of objectives.





  1. economy and usefulness - the decision of how much information to give a credit manager to help in deciding whether to extend credit versus the cost of providing that information.

b. economy and reliability - the decision of whether to implement a new internal control procedure.


c. economy and customer service - the decision of whether or not to allow sales personnel to access data versus the cost of providing that information and the cost of the information being used for unintended purposes.


d. simplicity and usefulness - any decision about the extent to which output information should be reported in detail or in summarized form.


e. simplicity and reliability - any decision about whether or not to implement an internal control procedure.


f. economy and capacity - the decision of whether to acquire additional storage capacity.


g. economy and flexibility - the decision to replace older, less flexible storage mediums with newer, more flexible, and often more costly storage mediums.




20.7 For years, Jerry Jingle’s dairy production facilities led the state in sales volume but recent declines worry him. Customers are satisfied with his products but are troubled by the dairy’s late deliveries and incomplete orders. Production employees (not the cows) are concerned about bottlenecks in milk pasteurization and homogenization due to poor job scheduling, mix-ups in customers’ orders, and improperly labeled products. How should Jerry address the problems? What data-gathering techniques would be helpful at this early stage?
Jerry could install an information system that coordinates job scheduling, tracks customer orders, and controls product labeling. The system can also help reduce bottlenecks in the milk pasteurization and homogenization process by controlling production schedules.
It appears that Jerry has conducted an initial investigation and determined that actual problems exist. Jerry now needs to conduct a more in-depth investigation to verify the nature of the problem and to identify customer and the user needs.



  • The person conducting the investigation should interview the employees who process, bottle, and deliver the milk. These employees will be able to identify what is wrong with the current process and make suggestions for improvement.




  • Customers should also be interviewed to find out their needs, since meeting customer's needs is the ultimate goal of the company.




  • Jerry and supervisory personnel should be interviewed to get their insights about the problems and possible solutions.

Interviewing from the bottom up can result in better problem identification and solutions than from the top down. Lower level employees are more likely to accept a change in the system when they were the ones who first suggested the changes.


At this stage, Jerry and those he hires to help him will find interviewing techniques most useful in developing a problem statement. He will also probably find observation and reviewing whatever documentation is available to be of some use. A customer questionnaire may also produce useful information.





20.8 A manufacturing firm needed a specialized software program to identify and monitor cost overruns. After an extensive analysis, the company purchased prepackaged software and assigned three programmers to modify it to meet its individual circumstances and processes. After six months of work, during final testing, the company told them to stop all work until further notice. While reading the software vendor’s sales agreement, the manufacturing manager found a clause stating that the software could not be changed without the prior written consent of the vendor. The firm had to pay the software vendor an additional fee so it could use the modified software in its manufacturing process. Which aspect(s) of feasibility did the manufacturing firm failed to consider prior to purchasing the software.

Of the five aspects of feasibility, the manufacturing firm failed to consider legal feasibility. Legal feasibility deals with the system’s compliance with all applicable federal and state laws, regulations, and contractual obligations. In this particular case, the company failed to consider the contractual obligation not to alter the software without express written consent from the vendor.




20.9 Ajax Manufacturing installed a new bar code based inventory tracking system in its warehouse. To close the books each month on a timely basis, the six people who work in the warehouse must scan each item in a 36-hour period while still performing their normal duties. During certain months, when inventory expands to meet seasonal demands, the scan takes as many as 30 hours to complete. In addition, the scanners do not accurately record some inventory items that require low operating temperatures. A recent audit brought to management’s attention that the inventory records are not always accurate. Which aspect(s) of feasibility did Ajax fail to consider prior to installing the inventory tracking system.

Ajax Manufacturing failed to consider operational and technical feasibility when implementing their inventory tracking system.


Operational feasibility considers whether the organization’s personnel can and/or will use the system. For Ajax, the 30 hours required to scan all inventory in a 36-hour period was very difficult on personnel and most likely led to human error in the inventory count due to fatigue.


Technical feasibility deals with whether the technology is in place for the system to work. For Ajax, although the technology was in place and worked under normal circumstances, the scanners did not always work in the cold conditions of Ajax’s warehouse. Therefore, the technology sometimes failed, which resulted in inventory errors.



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