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Full-Text Articles in Business

Digital Marketing And The Culture Industry: The Ethics Of Big Data, Jonathan Michael Bowman May 2021

Digital Marketing And The Culture Industry: The Ethics Of Big Data, Jonathan Michael Bowman

Graduate Theses and Dissertations

Instead of the steady march of the one percent growth in ecommerce as compared to total retail revenues in the last decade (to comprise about nine percent of the industry at the close of 2019), we have witnessed leaps now to over twenty percent in just the last year. Scott Galloway marks the pandemic as an accelerant not just of digital marketing posting a year of growth for each month of quarantine but as an accelerant of each major GAFA (Google, Amazon, Facebook, and Apple) firm from market dominance to total dominance (Galloway 2020). Viewing these trends from the standpoint …


The Cost Of Big Data: Evaluating The Effects Of The European Union’S General Data Protection Regulation, Kara Rebecca White May 2020

The Cost Of Big Data: Evaluating The Effects Of The European Union’S General Data Protection Regulation, Kara Rebecca White

Chancellor’s Honors Program Projects

No abstract provided.


Consumer Welfare And Price Discrimination: A Fine Line, Marie Wallmark, Eyal Greenberg, Dan Engels Jul 2018

Consumer Welfare And Price Discrimination: A Fine Line, Marie Wallmark, Eyal Greenberg, Dan Engels

SMU Data Science Review

Traditionally, it was not feasible for businesses to determine the maximum price the buyer was willing to pay, but with the availability of big data and the deployment of sophisticated algorithms, with a great degree of precision businesses can ascertain the maximum willingness price. Some forms of price discrimination are prohibited under the Robinson-Patman Act of Antitrust (1890), provided demographic characteristics such as race and gender are the determining factors. The problem with this interpretation is that sellers are not transparent about what factors are taken into consideration when determining price. Current laws are either limited in their interpretation or …


Big Data In Finance: Highlights From The Big Data In Finance Conference Hosted At The University Of Michigan October 27-28, 2016, Michael S. Barr, Brian Koziara, Mark D. Flood, Alfred Hero, H. V. Jagadish Feb 2018

Big Data In Finance: Highlights From The Big Data In Finance Conference Hosted At The University Of Michigan October 27-28, 2016, Michael S. Barr, Brian Koziara, Mark D. Flood, Alfred Hero, H. V. Jagadish

Law & Economics Working Papers

How can financial data be made more accessible and more secure, as well as more useful to regulators, market participants, and the public? As new data sets are created, opportunities emerge. Vast quantities of financial data may help identify emerging risks, enable market participants and regulators to see and better understand financial networks and interconnections, enhance financial stability, bolster consumer protection, and increase access to the underserved. Data can also increase transparency in the financial system for market participants, regulators and the public. These data sets, however, can raise significant questions about security and privacy; ensuring data quality; protecting against …


Era Of Big Data: Danger Of Descrimination, Andra Gumbus, Frances Grodzinsky Sep 2015

Era Of Big Data: Danger Of Descrimination, Andra Gumbus, Frances Grodzinsky

WCBT Faculty Publications

We live in a world of data collection where organizations and marketers know our income, our credit rating and history, our love life, race, ethnicity, religion, interests, travel history and plans, hobbies, health concerns, spending habits and millions of other data points about our private lives. This data, mined for our behaviors, habits, likes and dislikes, is referred to as the “creep factor” of big data [1]. It is estimated that data generated worldwide will be 1.3 zettabytes (ZB) by 2016. The rise of computational power plus cheaper and faster devices to capture, collect, store and process data, translates into …


Big Data Vs. Big Brother: The Fine Line Of Personalization And Privacy, Wanda Inthavong, John A. Schibrowsky Jan 2014

Big Data Vs. Big Brother: The Fine Line Of Personalization And Privacy, Wanda Inthavong, John A. Schibrowsky

McNair Poster Presentations

Purpose – To review privacy issues surrounding Big Data and creating recommendations to aid in resolving these issues.

Approach - Reviews current literature regarding Big Data and its implication on privacy.

Findings – Regulation changes/additions not as beneficial as some researchers believe. Creating & streamlining one universal regulation to better protects consumer privacy information may gain back consumer confidence.