Carefully review and use either of the book options below as a reference for various aspects of intelligent systems and ethics.
Sharda, R., Delen, D., & Turban, E. (2015) Business intelligence and analytics: Systems for decision support (10th ed.). Boston: Pearson. Print: ISBN-13: 978-0-13-305090-5
Sharda, R., Delen, D., & Turban, E. (2020) Analytics, data science, & artificial intelligence: Systems for decision support (11th ed.). Boston: Pearson. Print: ISBN-13: 978-0-13-519201-6
Important Note: All students are welcome to use outside research in aspects of intelligent systems and ethics.
After reading and analyzing content from book references and or from outside research, select “one” of the research options below and respond.
Location-tracking–based clustering provides the potential for personalized services but challenges for privacy. Based on research and or experience, argue for and or against such applications.
Identify ethical issues related to managerial decision making. Search the Internet, join chat rooms, and read articles from the Internet. Prepare a report on your findings.
Search the Internet to find examples of how intelligent systems (especially ES and intelligent agents) facilitate activities such as empowerment, mass customization, and teamwork. Offer opinions based on findings
Research the ethical issues of self-driving cars and offer opinions based on findings.
Face and voice recognition applications are mushrooming. Research the state of their regulation in a country of your choice. Argue for and or against such applications.
Case: Kimberly-Clark Corp: Shopping for Virtual Products in Virtual Stores.
Summarize the top three points in the case in your own words.
Are the concepts presented in the case revolutionary for this company? Why or why not?
Identify at least three companies from your own experience and/or case studies that could learn lessons from the case. What are they and why did you list them as important?
Learner successfully applied critical thinking to the case study analysis & recommendations/actions taken – 25 pts max.
– Learner s successfully incorporated a minimum of two concepts/principles from the textbook (or external sources) in their work to support their position. (No more than 10% of the entire submission should be from referenced sources. In other words, the references should support the learner’s work not be the bulk of what is written.) – 25 pts max.
– Learner met the criteria for academic writing (i.e. no spelling or grammar errors, properly formatted paragraphs, APA formatting used for references, etc.) – 15 pts max.
– Each question needs to more than 250 words. – 10 pts max.
Each student will conduct a search of the University’s online library resources to find 2-3 recent peer-reviewed articles (within the past 3 years) that closely relate to the Impact of Big Data on Businesses.
ATTACHED ARE THE RECENT PEER-REVIEWED ARTICLES (you may choose a few and work on this request)
Your submission must include the following information in the following format:
ANALYSIS: Using 1000 words, write an analysis, in your own words of how the articles (attached) relates to the selected chapters (chapter names below). An analysis is not rehashing what was already stated in the article, but the opportunity for you to add value by sharing your experiences, thoughts, and opinions. This is the most important part of the assignment.
Information Technology for Management
Chapter 4: The Impact of Information Technology on the Organization
Chapter 6: International Business and Information Technology
This week’s group research discussion takes a practical look at the application of Virtual Reality. The paper chosen for Group RD#$ presents the instructional design of a language-training model for professional and vocational purposes on behalf of the Swiss railway industry, specifically designed for German-speaking train drivers and train operators who work for the Schweizerische Südostbahn (SOB). In fact, around 50 train drivers and train operators need to learn Italian and communicate clearly and confidently in this language by 2021. Augmented Reality (AR), specifically the Blippar app, is used here as an additional and motivating guide to learning technical terms and nouns, verbs, and dialogue structures, in short: essential railway communication features between train drivers and train operators.
After carefully reading and comprehending this article, you critically examine the claims presented in achieving the goal of considerable improvement of learning a new language using AR.
Address the followings:
Briefly explain and critically analyze the four-layered instructional design model. You should look at it from an external research point of view by looking at relevant research.
Provide your evaluation of the AR training sequence proposed in this case study.
What is your evaluation of the following statement?
AR technology has the capability to add motivation to the learning experience because adult learners become active instructional designers of their own learning content.
Selecting the most ethical behavior is often not a simple decision between right and wrong. Usually the situation is much more complicated, with potential negative and positive consequences resulting from any decision. Most people would say they would make the ethical choice, but most situations are usually not either black or white. In addition, when making difficult decisions, managers should take into account the emotions and feelings of those involved, but these should not be the driver of all decisions. Care must be taken that emotions are not hijacking reasoning.
For the Application this week, you will examine a case study in which an ethical dilemma occurs. The individuals attempt to determine a correct or “ethical” course of action. You will use the case study, “The Dark Side of Customer Analytics” in this week’s Resources.
In 4-5 pages address the following:
How can these companies leverage the customer datea resonsibly and ethically?
What ethical issues are raised by the situation in the case study?
How might each organization structure the agreement to:
Provide value from the data — for IFA, for ShopSense and for the Customers
Avoid the ethical problems you identified.
All work in APA format with proper citing
Davenport, T. H. , Harris, J. G., Jones, G. L., Lemon, K. N., Norton, D., & McCallister, M. (2007). The dark side of customer analytics. Harvard Business Review, 85(5), 37–48.
Retrieved from the Business Source Complete database.
Indvik, J., & Johnson, P. R. (2009). Liar! Liar! Your pants are on fire: Deceptive communication in the workplace. Journal of Organizational Culture, Communications & Conflict, 13(1), 1-8.
Retrieved from the Business Source Complete database.
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