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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.

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Journal ArticleDOI

Big Data, Big Change: In the Financial Management

Ming Ke, +1 more
TL;DR: The paper states the challenges that "Big data" brings to enterprise aiming to illustrate that only through fostering strengths and circumventing weaknesses can an enterprise remain invincible in "Big Data" era.
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Digital data, dynamic capability and financial performance: an empirical investigation in the era of Big Data

TL;DR: In this article, the authors examined whether companies' ability to leverage digital data, which they call their Digital Data dynamic capability, leads to better financial performance, and whether there are moderating effects on this relationship.
Journal ArticleDOI

Can big data analytics help organisations achieve sustainable competitive advantage? A developmental enquiry

TL;DR: In this paper, the authors proposed a holistic framework that integrates the following: (i) firm knowledge, (ii) managerial capabilities and decision-making, (iii) sustainable competitive advantage, (iv) big data analytics.
Journal ArticleDOI

Can big data analytics help organisations achieve sustainable competitive advantage? A developmental enquiry

TL;DR: In this paper , the authors proposed a holistic framework that integrates the following: (i) firm knowledge, (ii) managerial capabilities and decision-making, (iii) sustainable competitive advantage, (iv) big data analytics.
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Selling circularity: Understanding the relationship between circularity promotion and the performance of manufacturing SMEs in Italy

TL;DR: In this paper, the authors investigated the communication intensity of companies adopting circular economy (CE) practices, with the aim of assessing the extent to which promoting circularity increases their economic performance (measured as return on assets), disentangling this effect for the different quantiles of the ROA distribution.
References
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Book

Big data: The next frontier for innovation, competition, and productivity

James Manyika
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.
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