Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Social and Behavioral Sciences
Parallel Design Of A Product And Internet Of Things (Iot) Architecture To Minimize The Cost Of Utilizing Big Data (Bd) For Sustainable Value Creation, Ryan Bradley, Ibrahim S. Jawahir, Niko Murrell, Julie Whitney
Parallel Design Of A Product And Internet Of Things (Iot) Architecture To Minimize The Cost Of Utilizing Big Data (Bd) For Sustainable Value Creation, Ryan Bradley, Ibrahim S. Jawahir, Niko Murrell, Julie Whitney
Institute for Sustainable Manufacturing Faculty Publications
Information has become today's addictive currency; hence, companies are investing billions in the creation of Internet of Things (IoT) frameworks that gamble on finding trends that reveal sustainability and/or efficiency improvements. This approach to “Big Data” can lead to blind, astronomical costs. Therefore, this paper presents a counter approach aimed at minimizing the cost of utilizing “Big Data” for sustainable value creation. The proposed approach leverages domain/expert knowledge of the system in combination with a machine learning algorithm in order to limit the needed infrastructure and cost. A case study of the approach implemented in a consumer electronics company is …
Affect And Value In Critical Examinations Of The Production And ‘Prosumption’ Of Big Data, Daniel G. Cockayne
Affect And Value In Critical Examinations Of The Production And ‘Prosumption’ Of Big Data, Daniel G. Cockayne
Geography Faculty Publications
In this paper I explore the relationship between the production and the value of Big Data. In particular I examine the concept of social media ‘prosumption’—which has predominantly been theorized from a Marxist, political economic perspective—to consider what other forms of value Big Data have, imbricated with their often speculative economic value. I take the example of social media firms in their early stages of operation to suggest that, since these firms do not necessarily generate revenue, data collected through user contributions do not always realize economic value, at least in a Marxist sense, and that, in addition to their …