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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Proceedings ArticleDOI
Big Data and its Applications in Supply Chain Management: Findings from a Delphi Study
TL;DR: The findings reveal that big data is mostly concerned with data collection and logistics, service, and planning processes are the most applicable processes for deploying big data analytics in SCM.
Journal ArticleDOI
Leveraging Big Data to Develop Supply Chain Management Theory: The Case of Panel Data
Journal ArticleDOI
The importance of science, technology, engineering, and mathematics (STEM) education to enhance students’ critical thinking skill in facing the industry 4.0
Journal ArticleDOI
Managing workflow of customer requirements using machine learning
TL;DR: The proposed method improves the requirements management process by reducing an expert’s workload and thus decreasing the time for processing one document was reduced from 2 weeks to 1 h and can self-improve once implemented into a requirements management system.
Journal ArticleDOI
Curbing cyberloafing: studying general and specific deterrence effects with field evidence
TL;DR: It is shown that reminder about the possibility of punishment brought no statistically significant effect, likely due to the earlier experience of punishment avoidance, and Punishing the violators of organisational policy affected both punished and unpunished employees.
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.