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Managementinformationsystem.docxRunning Head: MANAGEMENT INFORMATION SYSTEM 1
MANAGEMENT INFORMATION SYSTEM 1
Management Information System
Student’s Name
Institutional Affiliations
Case Study 1
The first system is the AES which was launched through an open online course that was extensively developed. The system is designed to use AI technology used in the generation of both essays and short answers. In the event that the student submits the essay, they are awarded their scores. E-rater is another system designed with similar algorithms to search engines. This system was designed through a compilation of both computer programs and databases. The database stores the student’s answers which are then scanned by the computer program. To award marks, the student’s results are compared hand to hand with their past examinations. The third system is the Intelligent Essay Assessor which is designed to analyze the quality of contents submitted by students. Also, students can utilize this system to run analyses on their essays prior to submitting them (Laudon and Brabston,2012). Lastly is the EdXtool which is used for grading. After grading essays, tutors submit to this program which generates students scores.
One of the benefits of automated essay grading systems is quick feedback. Other than saving time, the system spots plagiarized contents. Furthermore, the system is can be obtained cheaply since it is cost effective. Also, these systems use machine learning and are able to consistently grade students based on their initial performances. Nonetheless, they have limitations such as the inability to distinguish factual from fictious information (Laudon and Brabston,2012). Also, they are not incorporated with AES and can barely understand some concepts from novels and blogs.
Some factor that must be considered when choosing the AES to use are technology, management and organization. Also, higher learning institutions must consider AES impacts on both graders and professors. Lastly, the system should be frequently checked for errors or glitches.
Case Study 2
The implementation of data warehouse promoted the movement towards a centralized organization because of the implementation of single source, the ability to standardize and normalize data (Finkenbine and Mavinic, 2000). Furthermore, it became possible to move all the information from the old systems to the new systems.
If the data for American Water was not clean, the end user would be disadvantaged based on the accuracy of information they received. Because of confusion, the employees would have to deal with reoccurring system errors. All these would lead to eventual destruction of the company’s values and decline in the profits.
To improve operations and management decision making the organization in question carried out system upgrades (Finkenbine and Mavinic, 2000). These upgrades helped the management of American Water to improve its processes. Furthermore, they successfully improved their operations by implementing SAP system to enable client independence and better system access for its employees.
Case Study 3
ARI became problematic because of the vast data that needed to be processed. Also, the type of data that needed to be processed resulted to a huge problem. In any case, it is hard for organizations to process, manage, and maintain extremely huge amount of data (Powell and Chandran, 2019). It proved harder for the organization to update their inventory on a day to day basis.
Based on the size of the organization and the amount of data they process, they required power users who were equipped with knowledge on querying and analyzing data. Based on the case study, the company is forced to present their reports on spreadsheets and charts. However, this impacted the company’s business to a point where they can hardly benchmark the company’s performance.
Needless to say, SAP HANA was the best solution for ARI. This is because it put the company in a position where they could conduct real-time operations. As a result, ARI was able to improve both planning and optimization of their business processes (Powell and Chandran, 2019). Also, with SAP HANA, ARI was able to process vast amounts of data within a short time period.
The adoption of SAP HANA by ARI advantaged the organization since they were able to process large amounts of data within short periods. Also, it made ARI dal with granular data efficiently. Lastly, ARI benefited because they spent less time to deliver processed data to relevant recipients.
Case Study 4
CMS is best explained as the management of the flow of data with the objective of make the most of the supply chain and revenues of an organization. The use of CMS will enable Zappos to increase its revenue through quick and effective delivery of its products.
Zappos stands to benefit from CRM because they can easily invest on client relationship which shall result to customer loyalty and retention (Laudon and Laudon, 2016). Also, through timely delivery to its clients, Zappos will witness increase in its revenue since clients can ship their orders freely and frequently.
Because they are ambitious, Zappos would be required to implement SCM, CRM, and ERP so they can become a connected organization (Laudon and Laudon, 2016). Furthermore, implementation of the latter will enable the company to make decisions easily since they have access to every information that is relevant to its operations.
In the event that Zappos and Amazon merge, they shall enjoy a win-win situation. It means that the organizations and their clients shall equally share the same benefits and shortcomings. Since Amazon experiences shipping problems during peak mail seasons, Zappos will experience similar problems. Nonetheless, Amazon will experience excellent customer support system, courtesy of Zappos.
Lastly, for Zappos to improve customer satisfaction and its supply chain, they ought to reinvest their profits into Amazon. Also, they can adopt Amazon’s strategy of using drones o supply its products to their clients.
References
Finkenbine, J. K., Atwater, J. W., & Mavinic, D. S. (2000). Stream health after urbanization 1. JAWRA Journal of the American Water Resources Association, 36(5), 1149-1160.
