Big data: a revolution that will transform how we live, work, and think

By K. Armstrong. 2014

848 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/fa87557e2d9a9695a99ec481673fb360fad2a897

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In Communication

In Information Systems and Management

Citations in the corpus

Hiding individuals and communities in a social network (2016, methodology): “Our heuristic—‘disconnect internally, connect externally’ (DICE)—works via the following steps given a budget b: (1) disconnect d ≤ b links from within the community V†; and (2) connect b – d nodes from within V† to b – d nodes from outside of V†.”
Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges (2015, background): “On the other hand, fitness of uses or purposes appears more valid or should be advocated (Mayer-Schönberger & Cukier 2013) in the context of big data.”
Clarifying Journalism’s Quantitative Turn (2015, background): “This roughly corresponds to the epistemology of the “big data” movement, which Mayer-Scho¨nberger and Cukier (2013) have helpfully set in stark contrast to that of traditional social science.”
Big data related technologies, challenges and future prospects (2015, background): “Readers who are new to big data may benefit from Mayer-Schönberger’s book (Mayer-Schönberger and Cukier 2013), which provides a lighter introduction on big data, and focus on how big data might impact business, government and individuals.”
Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities (2020, background): “Some practitioners and researchers have associated big data with the next frontier for innovation, competition, and productivity [3], while others have even claimed that it is a revolution that will transform how we live, work, and think [4].”
Customer experience challenges: bringing together digital, physical and social realms (2018, background): “…of navigating the path to high digital density environments Business managers and researchers anticipate that a major benefit of AI and “big data” will be service innovations that create new value propositions (Hartmann et al., 2016; Huang and Rust, 2018; Mayer-Schönberger and Cukier, 2013).”
Algorithms at Work: The New Contested Terrain of Control (2020, background): “…platforms can instantaneously compute, save, and communicate real-time information with workers and managers—including client comments, completion rates, or number of page views (e.g., Etter, Kafsi, Kazemi, Grossglauser, & Thiran, 2013; Mayer-Schönberger & Cukier, 2013; Sachon & Boquet, 2017).”
New games, new rules: big data and the changing context of strategy (2015, background): “We have deliberately steered away from this rather simplistic construal of the relevant issues, characteristic of a great deal of the current literature on the subject (e.g., Mayer-Schönberger and Cukier, 2013; Schmarzo, 2013; Davenport, 2014).”
Big data, bigger dilemmas: A critical review (2015, background): “…academics seem to concur with this vision, seeing the potential in Big Data to quantify and thereby change various aspects of contemporary life (Mayer-Schonberger & Cukier, 2013), “to revolutionize the art of management” (Ignatius, 2012, p. 12), or to be part of a major transformation that…”
Tree-CNN: A hierarchical Deep Convolutional Neural Network for incremental learning (2018, background): “The modern world of digitized data produces new information every second [9], thus fueling the need for systems that can learn as new data arrives.”
Significance and Challenges of Big Data Research (2015, background): “In recent years, big data has rapidly developed into a hotspot that attracts great attention from academia, industry, and even governments around the world [1, 2, 3].”