The Algorithmic Governance of Data driven-Processing Employment: Evidence-based Management Practices, Artificial Intelligence Recruiting Software, and Automated Hiring Decisions Social Sciences, Sociology, Management and complex organizations

2019 ◽  
Vol 7 (2) ◽  
pp. 25
Keyword(s):  
Social Sciences ◽  
Artificial Intelligence ◽  
Management Practices ◽  
Data Driven ◽  
Evidence Based ◽  
Hiring Decisions ◽  
Complex Organizations

scholarly journals DATA AND ARTIFICIAL INTELLIGENCE FOR BETTER AND INTELLIGENT REGULATION

2021 ◽  
Vol 14 (1) ◽  
pp. 7-25
Author(s):  
Manuel Cabugueira
Keyword(s):  
Artificial Intelligence ◽  
Policy Making ◽  
New Technologies ◽  
Evidence Base ◽  
Data Driven ◽  
Evidence Based ◽  
Public Intervention ◽  
Economic Competitiveness ◽  
Better Regulation ◽  
Evidence Base Approach

In this article we bring forward a reflection on how data technology and artificial intelligence can improve the implementation of an evidence-based, data-driven, regulation. We start by arguing in favor of an evidence-base approach to regulation, meaning that policy making should be supported by information on the expected and observed impacts. We reach this position by acknowledging that, on one side, markets fail and public intervention will promote social welfare and economic competitiveness but, on the other, regulation also fails creating implementation and compliance costs. It follows that public intervention has to be supported by a demonstration that benefits will outweigh the costs. In this paper we discuss the challenges presented by this evidence-base regulation and how the new tools from data technologies and artificial intelligence may provide new resources to face those difficulties. We conclude that there is an obvious match between the solutions that these new technologies present and the requirements to “better regulate” and to “regulate better”. In the end, it seems only natural that evidence-base regulation should also be data-driven. Keywords: Regulation; Artificial Intelligence; Better Regulation; evidence-based regulation, data-driven regulation

Data Analytics for Strategic Management

2017 ◽  
pp. 810-822
Author(s):  
Lesley S. J. Farmer
Keyword(s):  
Strategic Management ◽  
Data Analytics ◽  
Management Practices ◽  
Emerging Technology ◽  
Data Driven ◽  
Evidence Based ◽  
Current Management ◽  
The Right ◽  
Impact Data ◽  
Analyze Data

To direct and maintain smooth operations in coordination with internal and external sectors, strategic managers need to collect and analyze data about those operations and stakeholders so they can improve current management practices and determine new management direction. Particularly in today's data-driven society where evidence-based practice is expected, numbers and other evidence abound. However, data by itself is not very useful or even informative. Managers need to strategically conduct data analytics, that is the process of knowing the right questions to ask, determining the relevant data to collect, choosing the appropriate instruments to collect those data, analyzing that data, recommending appropriate actions, implementing them, and evaluating the implementation. This chapter also emerging technology issues and tools that impact data analytics.

Evidence-Based Social Sciences: A New Emerging Field

2018 ◽  
Vol 5 (2) ◽  
pp. 207-211
Author(s):  
Nazila Zarghi ◽  
Soheil Dastmalchian Khorasani
Keyword(s):  
Social Sciences ◽  
Critical Appraisal ◽  
State Of The Art ◽  
Internal Validity ◽  
Evidence Based ◽  
Multiple Sources ◽  
Social Settings ◽  
Research Findings ◽  
Academic Area ◽  
Different Levels

Abstract Evidence based social sciences, is one of the state-of- the-art area in this field. It is making decisions on the basis of conscientious, explicit and judicious use of the best available evidence from multiple sources. It also could be conducive to evidence based social work, i.e a kind of evidence based practice in some extent. In this new emerging field, the research findings help social workers in different levels of social sciences such as policy making, management, academic area, education, and social settings, etc.When using research in real setting, it is necessary to do critical appraisal, not only for trustingon internal validity or rigor methodology of the paper, but also for knowing in what extent research findings could be applied in real setting. Undoubtedly, the latter it is a kind of subjective judgment. As social sciences findings are highly context bound, it is necessary to pay more attention to this area. The present paper tries to introduce firstly evidence based social sciences and its importance and then propose criteria for critical appraisal of research findings for application in society.

Sign in / Sign up

Export Citation Format

Share Document