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Article . 2022
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EconStor
Article . 2022
License: CC BY
Data sources: EconStor
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Computing and Social Welfare.

Authors: Eric K. Clemons; Ravi V. Waran; Sebastian Hermes; Maximilian Schreieck; Helmut Krcmar;

Computing and Social Welfare.

Abstract

Social Welfare Computing is an emerging discipline that seeks to direct technology to cause minimum societal disruption, and in particular seeks to minimize the harm caused directly by technology itself. This is markedly different from the better-understood uses of technology to create value or to address existing social needs. Innovative technologies that are widely adopted created significant value for their users; otherwise, they would not be widely adopted. Often the companies that create them obtain new sources of wealth and power, which inevitably lead to new forms of abuse of power and new forms of societal disruption. Societal disruption in turn requires social adaptation, including new regulations to influence the behavior of firms and to define and to protect the rights of individuals in the changed society. The governance of online business models is complex because regulators must meet the conflicting objectives of different segments of society, and because regulators must avoid imposing restrictions that stifle innovation. Social Welfare Computing seeks to guide social adaptation, combining insights from disciplines as varied as anthropology, business strategy, economics, strategic planning, and law.

Keywords

ddc:620, D60, Regulation of Big Tech, Fake news, K21, L86, Social Welfare Computing, Life control interfaces, Platform envelopment, L50, Dark side of computing, L40

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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