8,606 research outputs found
Monitoring bank performance in the presence of risk
This paper proposes a managerial control tool
that integrates risk in efficiency measures. Building on
existing efficiency specifications, our proposal reflects the
real banking technology and accurately models the relationship
between desirable and undesirable outputs. Specifically,
the undesirable output is defined as nonperforming
loans to capture credit risk, and is linked only
to the relevant dimension of the output set. We empirically
illustrate how our efficiency measure functions for managerial
control purposes. The application considers a unique
dataset of Costa Rican banks during 1998–2012. Results’
implications are mostly discussed at bank-level, and their
interpretations are enhanced by using accounting ratios.
We also show the usefulness of our tool for corporate
governance by examining performance changes around
executive turnover. Our findings confirm that appointing
CEOs from outside the bank is associated with significantly
higher performance ex post executive turnover, thus suggesting
the potential benefits of new organisational
practices.Peer ReviewedPostprint (author’s final draft
Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine -- The Bethesda Report (AI Summit 2022)
The SNMMI Artificial Intelligence (SNMMI-AI) Summit, organized by the SNMMI
AI Task Force, took place in Bethesda, MD on March 21-22, 2022. It brought
together various community members and stakeholders from academia, healthcare,
industry, patient representatives, and government (NIH, FDA), and considered
various key themes to envision and facilitate a bright future for routine,
trustworthy use of AI in nuclear medicine. In what follows, essential issues,
challenges, controversies and findings emphasized in the meeting are
summarized
Review and synthesis of problems and directions for large scale geographic information system development
Problems and directions for large scale geographic information system development were reviewed and the general problems associated with automated geographic information systems and spatial data handling were addressed
Towards AI Standards Whitepaper: Thought-leadership in AI legal, ethical and safety specifications through experimentation
With the rapid adoption of algorithms
in business and society there is a growing concern
to safeguard the public interest. Researchers,
policy-makers and industry sharing this view convened
to collectively identify future areas of focus in order to
advance AI standards - in particular the acute need
to ensure standard suggestions are practical and
empirically informed. This discussion occurred in
the context of the creation of a lab at UCL with these
concerns in mind (currently dubbed as UCL The
Algorithms Standards and Technology Lab).
Via a series of panels, with the main stakeholders,
three themes emerged, namely (i) Building public trust,
(ii) Accountability and Operationalisation,
and (iii) Experimentation. In order to forward
the themes, lab activities will fall under three
streams - experimentation, community building
and communication. The Lab’s mission is to
provide thought-leadership in AI standards through
experimentation
Digital strategy implementation in process manufacturing firms: the Sirmax case.
The elaboration aims to investigate how to effectively implement a digital strategy in process manufacturing firms. After having analyzed literature and benchmark cases, the focus is on the digital strategy implementation proposal for Sirmax, a process manufacturing firm.ope
RTD Evaluation Toolbox. Assessing the Socio-Economic Impact of RTD-Policies
Abstract not availableJRC.J-Institute for Prospective Technological Studies (Seville
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