MGMT 221 MODULE 1 DISCUSSION 1

MGMT 221 MODULE 1 DISCUSSION 1 | Assignment Help | Embry Riddle Aeronautical University 

MGMT 221 MODULE 1 DISCUSSION 1

Discussion 1

Big Data and Social Media

Discussion Assignment Overview

Discussion forum participation in this course is taken very seriously. If you have not thoroughly reviewed the Discussion Assignments Overview and Requirements and the Course Specific APA Style Instructions and Guidance page, please do so before you post in the Discussion forum. There are specific examples of how to cite and reference your sources utilizing APA style on those pages.

To receive an "A" for this assignment, you must know how to cite and reference your research sources utilizing APA style. APA style citing and referencing is a stringent requirement for any "borrowed" data that is posted in the Discussion assignments as well as submitted in the other assignments in this course.

Review the Checklist for Meaningful Discussions and the Online Students Responsibilities (Links to an external site.)Links to an external site.documents located in the Start Here section of the course for helpful information pertaining to the discussion activities.

Your instructor will evaluate and grade the discussion posts using the Discussion Rubric. SelectHow can I review the Discussion assignment grading rubric.Links to an external site.A style citing and referencing is a stringent requirement for any "borrowed" data that is posted in the Discussion assignments as well as submitted in the other assignments in this course. 

Discussion Assignment Requirements

The following are specific Discussion requirements:

• Initial posts must be made by mid-week (Day four).
• Respond to a minimum of two of your peers' posts.
• To assist your instructor in evaluating your work, when creating your initial post, copy the question from the activity and paste it in boldfont just before your answer.
• To assist the readers in keeping track of who the involved parties are in a specific discussion, begin your response posts with the name of the peer to whom you are responding.
• Place appropriate APA style in-text citations and a Reference List for any “borrowed” data obtained from a source.
• Your data needs to be grammatically sound and free of spelling errors.
• Using terminology from the reference sources in your answers will enhance your grade.
• Unless you are a subject matter expert on the topic, based on your degrees, certifications or “on the job training,” do not submit data obtained only from personal experience.

Discussion Assignment Question

Chapter 1 of the course textbook presents an overview of “Doing Business in Digital Times” (Turban, Volonino, & Wood, 2015, p. 1). One of the key topics discussed in this chapter is “big data.” “Big data are datasets whose size and speed are beyond the ability of typical database software tools to capture, store, manage and analyze. Examples are machine-generated data and social media texts” (Turban et al., 2015, p. 2).

Perhaps you have downloaded and installed a social media application such as Facebook^®, Snapchat^®, Twitter^®, or Instagram^® on your smartphone or computer system. For you to be able to utilize such digital technologies, you were required to agree to certain terms and conditions, and in doing so, you may have allowed for an intrusive level of personal privacy. The information that you submit when you create an account and view or post on such websites gets stored in server farms, which later can be retrieved and utilized by companies to facilitate certain business purposes.

Question: 

Reflect on the effects that utilizing these applications might have in your private personal life and answer the following question. Is it ethical for a company such as Facebook that provides a high level of “free” communications to sell your personal data to others for advertising or other business purposes?

Remember, one goal in the Discussion assignments is to create an atmosphere of interaction by posting meaningful responses that advance and expand the depth of the discussion. Do this by providing additional support to your peers' initial and response posts, or if appropriate, by challenging them if you feel that the data that they presented is weak. Likewise, when a peer challenges the data in your posts, debate the issue, and providing further support for your points of view on the topic.