scholarly journals Topological obstructions in the way of data-driven collective variables

2015 ◽  
Vol 142 (4) ◽  
pp. 044102 ◽  
Author(s):  
Behrooz Hashemian ◽  
Marino Arroyo
Keyword(s):  
Data Driven ◽  
Collective Variables ◽  
Topological Obstructions ◽  
The Way

How to turn managers into data-driven decision makers

2019 ◽  
Vol 25 (3) ◽  
pp. 553-578 ◽  
Author(s):  
Kevin Daniel André Carillo ◽  
Nadine Galy ◽  
Cameron Guthrie ◽  
Anne Vanhems
Keyword(s):  
Measurement Instrument ◽  
Data Driven ◽  
Business Analytics ◽  
Business World ◽  
Content Type ◽  
Multi Stage ◽  
Attitudes Toward Statistics ◽  
Attitude Toward Business ◽  
Professional Contexts ◽  
The Way

Purpose The purpose of this paper is to emphasize the need to engender a positive attitude toward business analytics in order for firms to more effectively transform into data-driven businesses, and for business schools to better prepare future managers. Design/methodology/approach This paper develops and validates a measurement instrument that captures the attitude toward business statistics, the foundation of business analytics. A multi-stage approach is implemented and the validation is conducted with a sample of 311 students from a business school. Findings The instrument has strong psychometric properties. It is designed so that it can be easily extrapolated to professional contexts and extended to the entire domain of business analytics. Research limitations/implications As the advent of a data-driven business world will impact the way organizations function and the way individuals think, work, communicate and interact, it is crucial to engage a transdisciplinary dialogue among domains that have the expertise to help train and transform current and future professionals. Practical implications The contribution provides educators and organizations with a means to measure and monitor attitudes toward statistics, the most anxiogenic component of business analytics. This is a first step in monitoring and developing an analytics mindset in both managers and students. Originality/value By demonstrating how the advent of the data-driven business era is transforming the DNA and functioning of organizations, this paper highlights the key importance of changing managers’ and all employees’ (to a lesser extent) mindset and way of thinking.

Scaffolding the OEEU's Data-Driven Ecosystem to Analyze the Employability of Spanish Graduates

2018 ◽  
pp. 236-255 ◽  
Author(s):  
Andrea Vázquez-Ingelmo ◽  
Juan Cruz-Benito ◽  
Francisco J. García-Peñalvo ◽  
Martín Martín-González
Keyword(s):  
Information System ◽  
Graduate Students ◽  
Master's Degree ◽  
Bachelor's Degree ◽  
Data Driven ◽  
Technological Evolution ◽  
Technological Support ◽  
Related Data ◽  
Spanish Universities ◽  
The Way

This chapter outlines the technological evolution experimented by the Observatory for University Employability and Employment's information system to become a data-driven technological ecosystem. This observatory collects data from more than 50 Spanish universities and their graduate students (bachelor's degree, master's degree) with the goal of measuring the factors that lead to students' employability and employment. The goals pursued by the observatory need a strong technological support to gather, process, and disseminate the related data. The system that supports these tasks has evolved from a standard (traditional) information system to a data-driven ecosystem, which provides remarkable benefits covering the observatory's requirements. The benefits, the foundations, and the way the data-driven ecosystem is built will be described throughout the chapter, as well as how the information obtained is exploited in order to provide insights about the employment and employability variables.

Corporates in the Digital Age

2021 ◽  
pp. 1519-1532
Author(s):  
Hammad Azzam
Keyword(s):  
Digital Age ◽  
Customer Experience ◽  
Digital Transformation ◽  
Data Driven ◽  
Essential Factor ◽  
Global Culture ◽  
Customer Interaction ◽  
The Way

A proposition for digital transformation of global groups into efficient enterprises is introduced. At the heart of the proposition is a transformational practice aimed at creating a customer-focused, data-driven global culture in any customer-serving company. The digital age has added a level of complexity to the way we acquire and serve customers. Doing a good job in the traditional channels is not enough anymore. Online is increasingly becoming the channel of choice with the two main customer-interaction paradigms: sell and service. And building a great customer experience is probably the most essential factor of success for both functions.

scholarly journals Data-Driven Collective Variables for Enhanced Sampling

2020 ◽  
Vol 11 (8) ◽  
pp. 2998-3004 ◽  
Author(s):  
Luigi Bonati ◽  
Valerio Rizzi ◽  
Michele Parrinello
Keyword(s):  
Data Driven ◽  
Enhanced Sampling ◽  
Collective Variables

Teaching grammar again after twenty years: corpus-based help for teaching grammar

ReCALL ◽  
1997 ◽  
Vol 9 (2) ◽  
pp. 8-16 ◽  
Author(s):  
Tony McEnery ◽  
Andrew Wilson ◽  
Paul Barker
Keyword(s):  
Secondary Education ◽  
Data Driven ◽  
Tertiary Level ◽  
Data Driven Approach ◽  
The Subject ◽  
Teaching Grammar ◽  
The Way

In this paper we consider how corpora may be of use in the teaching of grammar of the pre-tertiary level. Corpora are becoming well established in teaching in Universities. Corpora also have a role to play in secondary education, in that they can help decide how and what to teach, as well as changing the way in which puplis learn and providing the possibility of open-ended machine-aided tuition. Corpora also seem to provide what UK goverment sponsored reports on teaching grammar have called for – a data-driven approach to the subject.

Corporates in the Digital Age

2019 ◽  
pp. 39-52
Author(s):  
Hammad Azzam
Keyword(s):  
Digital Age ◽  
Customer Experience ◽  
Digital Transformation ◽  
Data Driven ◽  
Essential Factor ◽  
Global Culture ◽  
Customer Interaction ◽  
The Way

A proposition for digital transformation of global groups into efficient enterprises is introduced. At the heart of the proposition is a transformational practice aimed at creating a customer-focused, data-driven global culture in any customer-serving company. The digital age has added a level of complexity to the way we acquire and serve customers. Doing a good job in the traditional channels is not enough anymore. Online is increasingly becoming the channel of choice with the two main customer-interaction paradigms: sell and service. And building a great customer experience is probably the most essential factor of success for both functions.

When Data and Intuition Converge

2021 ◽  
pp. 65-84
Author(s):  
Jacob L. Nelson
Keyword(s):  
Measurement Data ◽  
Data Driven ◽  
News Industry ◽  
Audience Measurement ◽  
Relationship Of ◽  
The Relationship ◽  
The Way

How is it that, in an age of sophisticated audience data, there continue to be widespread uncertainty and inconsistency throughout the news industry surrounding what people want and expect from news? This chapter explores this question by examining the relationship of journalists with audience measurement data. While the previous chapter examined the differences within journalism’s imagined audiences, this chapter explores the origins of journalism’s imagined audiences. In doing so, it identifies the way these differences emerge—and, more importantly, how they persist—in an increasingly data-driven news culture. The author’s overarching argument is that audience measurement data are neither as straightforward nor comprehensive as the discourse surrounding them suggests. Instead, these data continue to leave ample room for interpretation, and the interpretations vary from one journalist to the next.

Sociotechnical interaction at work: an ethnographic study of the Wikipedia community

2015 ◽  
Vol 35 (5) ◽  
Author(s):  
Shing-Chung Jonathan Yam
Keyword(s):  
Ethnographic Study ◽  
Data Driven ◽  
Knowledge Generation ◽  
Online Ethnography ◽  
Hierarchical Order ◽  
Computer Mediated ◽  
Personal Interactions ◽  
Cooperative Knowledge ◽  
The Way

AbstractWith much of Wikipedia’s research centering on the encyclopedia’s articles, less is known about the way its editors confront issues through computer-mediated talk pages. I present a novel attempt to investigate the diversity of discursive, sociotechnical interactions in the community with a data-driven online ethnography. I detail three issues: (i) how human editors collaborate with bots; (ii) what kinds of sociotechnical interaction are used in the discussion of article development; and (iii) how these interactions sustain the project. Notable differences emerge as to how human editors interact with other humans and bots during both article construction and personal interactions. With eight dimensions of interaction in cooperative knowledge generation identified, I proceed with a discussion of Wikipedia’s sociotechnical authorship, hierarchical order, and protocological operations.

BIG DATA IN BUSINESS

2018 ◽  
Vol 8 (1) ◽  
pp. 160
Author(s):  
PHILIP ADEBO
Keyword(s):  
Big Data ◽  
High Velocity ◽  
High Volume ◽  
Data Driven ◽  
Data Driven Decisions ◽  
The Way

ABSTRACTBusiness has always desired to derive insights from big data in order to make better, smarter, data-driven decisions.  Big data refers to data that are generated at high volume, high velocity, high variety, high veracity, and high value. It has fundamentally changed the way business companies operate, make decisions, and compete. It can create value for businesses. This paper provides a brief introduction to how big data is being used in businesses.

The Use of Digital Health in the Detection and Management of COVID-19 (Preprint)

2020 ◽  
Author(s):  
Meshari Alwashmi
Keyword(s):  
Infectious Diseases ◽  
Disease Surveillance ◽  
Digital Health ◽  
Healthcare Providers ◽  
Digital Technologies ◽  
Data Driven ◽  
Monitoring Methods ◽  
The Way

UNSTRUCTURED Digital health is uniquely positioned to transform the way we detect and manage infectious diseases. This viewpoint explores the potential of implementing digital technologies that can be used at different stages of the COVID-19 outbreak, including data-driven disease surveillance, screening, triage, diagnosis, and monitoring. Methods that could potentially reduce the exposure of healthcare providers to the virus are also discussed.

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