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Response to COVID-19 in Taiwan: Big Data Analytics, New Technology, and Proactive Testing.

Journal of the American Medical Association (JAMA), 2020
COVID-19 occurred just before the Lunar New Year during which time millions of Chinese and Taiwanese were expected to travel for the holidays Taiwan quickly mobilized and instituted specific approaches for case identification, containment, and resource ...
C. J. Wang, C. Y. Ng, R. H. Brook
semanticscholar   +1 more source

Big data analytics for intelligent manufacturing systems: A review

, 2021
With the development of Internet of Things (IoT), 5 G, and cloud computing technologies, the amount of data from manufacturing systems has been increasing rapidly.
Junliang Wang   +3 more
semanticscholar   +1 more source

The performance effects of big data analytics and supply chain ambidexterity: The moderating effect of environmental dynamism

, 2020
The importance of big data analytics–enabled dynamic capability has been at the forefront of research for information systems management, operations management, and strategic management community.
S. Wamba   +3 more
semanticscholar   +1 more source

Big data analytics

Strategic Direction, 2023
Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.
openaire   +2 more sources

Big data analytics as an operational excellence approach to enhance sustainable supply chain performance

, 2020
Operations management is a core organizational function involved in the management of activities to produce and deliver products and services. Appropriate operations decisions rely on assessing and using information; a task made more challenging in the ...
Surajit Bag   +4 more
semanticscholar   +1 more source

Determinants of big data analytics adoption in small and medium-sized enterprises (SMEs)

Industrial management & data systems, 2022
PurposeThe study challenges the assumption of independence among Technological, Organizational and Environmental (TOE) factors and investigates the influence of TOE factors on Big Data Analytics (BDA) adoption among Small and Medium Enterprises (SMEs ...
Parisa Maroufkhani   +2 more
semanticscholar   +1 more source

Big Data Analytics

Resonance, 2016
An in-depth analysis of data can reveal many interesting properties of the data, which can help us predict the future characteristics of the data. The objective of this chapter is to illustrate some of the meaningful changes that may occur in a set of data when it is transformed into big data through evolution.
  +4 more sources

BIG DATA AND BIG DATA ANALYTICS

Big Data and Big Data Analytics are terms used to describe the enormous amount of information that is produced daily in our contemporary digital environment. The term "big data" refers to massive, complex data volumes that are very challenging to handle and manage successfully when using traditional data processing methods.
Jaishree Agrawal, Kapish Nautiyal
openaire   +2 more sources

Big data and decision quality: the role of management accountants’ data analytics skills

International Journal of Accounting & Information Management, 2022
Purpose Existing research on the relationship between big data and organizational decision quality is still few and far between, and what does exist often assumes direct effects of big data on decision quality.
F. Franke, M. Hiebl
semanticscholar   +1 more source

Big data analytics capabilities and knowledge management: impact on firm performance

Management Decision, 2019
Purpose Big data analytics (BDA) guarantees that data may be analysed and categorised into useful information for businesses and transformed into big data related-knowledge and efficient decision-making processes, thereby improving performance. However,
Alberto Ferraris   +3 more
semanticscholar   +1 more source

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