Big Data and Management
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TLDR
The authors reflect on management of big data by organizations and comment on service level agreements (SLA) which define the nature and quality of information technology services and mention big data-sharing agreements tend to be poorly structured and informal.Abstract:
The authors reflect on management of big data by organizations. They comment on service level agreements (SLA) which define the nature and quality of information technology services and mention big data-sharing agreements tend to be poorly structured and informal. They reflect on the methodologies of analyzing big data and state it is easy to get false correlations when using typical statistical tools in analyzing big data. They talk about the use of big data in management and behavior research.read more
Citations
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Journal ArticleDOI
An effective approach to mobile device management: Security and privacy issues associated with mobile applications
TL;DR: By analysing six popular mobile apps, it is demonstrated how extensive amounts of data are commonly collected, which go well beyond the permissions requested of the user, and which are contrary to the developers' privacy policies.
Journal ArticleDOI
Leveraging Big Data for Sustaining Open Innovation: The Case of Social TV
TL;DR: Results demonstrate that the analysis of open data coming from social media data allows TV managers to identify the specific TV contents and Twitter elements, which are able to increase the social media traffic related to the show and gain insights for innovating the design of the TV show’s episodes or seasons.
Journal ArticleDOI
Analytics, innovation, and organizational adaptation
Gerard George,Yimin Lin +1 more
TL;DR: A stylistic model of the role of analytics in innovation is provided and call for further research on the underlying processes, contingencies, and outcomes are called for.
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Revisiting IS research practice in the era of big data
TL;DR: A research approach is proposed that incorporates consideration of big data—and associated implications such as data abundance—into a classic approach to building and testing theory, and the implications for the organization, execution, and evaluation of theory-informed research are discussed.
Journal ArticleDOI
Finding academic concerns of the Three Gorges Project based on a topic modeling approach
TL;DR: An emerging topic modeling approach, Latent Dirichlet Allocation (LDA), was introduced to uncover the intellectual structure of the academic literature focusing on the Three Gorges Project and shows that the approach can provide sound and credible conclusions of the major academic concerns for a hydropower project.
References
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Book
Big data: The next frontier for innovation, competition, and productivity
TL;DR: The amount of data in the authors' world has been exploding, and analyzing large data sets will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus, according to research by MGI and McKinsey.
Book
Consilience: The Unity of Knowledge
TL;DR: One of the world's greatest living scientists argues for the fundamental unity of all knowledge and the need to search for consilience, the composition of the principles governing every branch of learning.
Journal ArticleDOI
Getting Counted: Markets, Media, and Reality:
TL;DR: In this paper, the authors show that early entrants benefit from inviting coverage that makes a few-but not too many-links to other entrants, thus helping audiences perceive an emerging category.
Proceedings ArticleDOI
Understanding the value of (big) data
TL;DR: A simple taxonomy is introduced, rights to access are discussed and the case of big data as a common pool resource is analyzed.