Illuminating the Dark: Exploring the Unintended Consequences of Digital Marketing
Wiertz Caroline () and
Kittinger-Rosanelli Christine ()
Additional contact information
Wiertz Caroline: Professor of Marketing, Associate Dean for Entrepreneurship, Cass Business School, City, University of London
Kittinger-Rosanelli Christine: Managing Editor NIM MIR, Nuremberg Institute for Market Decisions, Nuremberg, Germany
NIM Marketing Intelligence Review, 2021, vol. 13, issue 1, 10-17
Abstract:
Our relationship to technology is deeply paradoxical. On the one hand, we buy and constantly use more devices and apps, leaving our traces in the digital space. On the other hand, we increasingly fear the dark sides of being dependent on technology and of data abuse. Inadequate knowledge and errors make it difficult to predict unintended consequences, and often problems emerge due to deliberate choices to pursue some interests while ignoring others. Hot topics include data privacy, potentially biased or discriminating algorithms, the tension between free choice and manipulation, and the optimization of questionable outputs while ignoring broader effects. Fighting unintended consequences should get to the roots of the problems. As for personal data, users should get more control over what they share. Further, more transparency can help avoid dystopian outcomes. It concerns the use of data, in particular, by algorithms. The high concentration of power of a few global players should also be watched closely, and societies need to be critical towards their actions and objectives. Even seemingly noble motives come at a price, and this price needs to be negotiable.
Keywords: Digital Marketing; Algorithms; Marketing Utopia; Marketing Dystopia; Unintended Consequences (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.2478/nimmir-2021-0002 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:vrs:gfkmir:v:13:y:2021:i:1:p:10-17:n:2
DOI: 10.2478/nimmir-2021-0002
Access Statistics for this article
NIM Marketing Intelligence Review is currently edited by Christine Kittinger-Rosanelli
More articles in NIM Marketing Intelligence Review from Sciendo
Bibliographic data for series maintained by Peter Golla ().