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Instructions:
Use of Individual Consumer Big Data Questions
Big Tech – Big Data – Big Threat?
Introduction
In each unit, the students will be assigned discussion questions concerning unit topics, examine the presented topics, and complete the discussion tasks. After submitting the initial posting, the students will provide constructive criticism of at least two peers’ initial postings, including the perceived strengths, weaknesses, and specific opportunities for improvement.
The initial post should be a minimum of one page double spaced in length. Refer to the discussion rubric for grading criteria which includes using credible sources (properly cited in APA format) and linking in the unit’s concepts and terms for critical analysis.
It is recommended that your use a word processer, such as MS Word and use both spell checking and grammar checking tools. You should expand your grammar checking tools in Word to cover any writing weaknesses (such as setting to Grammar and Style in Word). You can then copy and paste your post into the discussion forum. While there is no minimum or maximum word expectation for peer responses, they are expected to be substantive in nature and linked to credible sources. All work should reflect graduate-level critical thinking, as well as an ability to analyze, synthesize, and evaluate given scenarios and tasks.
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Directions
From the United States, to Europe, and China, big tech firms are under scrutiny of government regulators around the world. This includes companies such as Facebook, Amazon, Google, and Alibaba. These firms have grown into cross-border giants that pull in massive funds from advertising and sales. The major tool they use is consumer data analyzed through big-data engines to target communication to individual consumers.
Regulators have two major concerns. The first is that these firms are collecting data on individual consumer behaviors. The second is that these big tech firms are using their data advantage to push smaller, more traditional, businesses such as retailers, banks, finance, and advertising out of the market place. The Big Tech firms have argued that they provide value to the market, often at no cost to the consumer.
Europe has been much more aggressive in protecting consumer data requiring an “opt-in” by consumers for firms to use individual data. In the U.S., companies are free to use the data they collect on consumers to target advertising and products. In China, there is a fear that the data collected is shared with the Chinese government.
New data trends are emerging. In the U.S. over 30 million people have given their DNA to companies for health and heritage information. While these firms have privacy policies, DNA data is already being used by some big tech firms. DNA can be predictive of some human traits.
INITIAL POST
You should follow the instructions below for your evaluation post and your peer responses. If your last name starts from: A – K (Group 1), answer the questions below in support of the big tech companies. If your last name starts from: L – Z (Group 2), answer the questions below in support of government regulations.
Discussion Issues:
Analyze the use of individual consumer big-data by big tech firms and the impact on society. Support with cited research.
Analyze the power of the big tech firms to control the market and limit competition. Support with cited research.
Use of Individual Consumer Big Data Questions
RUBRIC |
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Excellent Quality 95-100%
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Introduction
45-41 points The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned. |
Literature Support 91-84 points The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned. |
Methodology 58-53 points Content is well-organized with headings for each slide and bulleted lists to group related material as needed. Use of font, color, graphics, effects, etc. to enhance readability and presentation content is excellent. Length requirements of 10 slides/pages or less is met. |
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Average Score 50-85% |
40-38 points More depth/detail for the background and significance is needed, or the research detail is not clear. No search history information is provided. |
83-76 points Review of relevant theoretical literature is evident, but there is little integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are included. Summary of information presented is included. Conclusion may not contain a biblical integration. |
52-49 points Content is somewhat organized, but no structure is apparent. The use of font, color, graphics, effects, etc. is occasionally detracting to the presentation content. Length requirements may not be met. |
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Poor Quality 0-45% |
37-1 points The background and/or significance are missing. No search history information is provided. |
75-1 points Review of relevant theoretical literature is evident, but there is no integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are not included in the summary of information presented. Conclusion does not contain a biblical integration. |
48-1 points There is no clear or logical organizational structure. No logical sequence is apparent. The use of font, color, graphics, effects etc. is often detracting to the presentation content. Length requirements may not be met |
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Use of Individual Consumer Big Data Questions |
Use of Individual Consumer Big Data Questions