scholarly journals NI4 Analysis of Stakeholders Involved in HTA Decision Making Process in the UK

2012 ◽  
Vol 15 (7) ◽  
pp. A278
Author(s):  
A. Kalbasko ◽  
M. Andreykiv ◽  
A. Van Engen ◽  
O. Zorzi
Keyword(s):  
Decision Making ◽  
Decision Making Process ◽  
The Uk

scholarly journals Understanding determinants of illegal e-book downloading behaviour in the UK and Germany

2018 ◽  
Vol 6 (2) ◽  
pp. 79-100 ◽  
Author(s):  
Oliver Jonas ◽  
Ibrahim Sirkeci
Keyword(s):  
Decision Making ◽  
Logistic Regression ◽  
Consumer Choice ◽  
Publishing Industry ◽  
Decision Making Process ◽  
Consumer Decision Making ◽  
Online Questionnaire ◽  
Online Stores ◽  
The Uk ◽  
Book Prices

With the success of e-books in the last decade, e-book piracy has become increasingly prevalent. This is a significant threat to the publishing industry, publishers and authors alike. Despite efforts to inhibit illegal downloading of e-book files, unauthorized download platforms have not lost much popularity. One of the underlying problems is a limited understanding of the determinants that drive consumers in their choice between legal and illegal download options. This article identifies and critically evaluates the key product attributes in the decision-making process of consumers downloading e-books from legal and illegal sources. By providing consumer insights, the publishing industry and e-book sellers can be guided to meet consumer demand better and design marketing plans to attract consumers towards legal download sources and discourage e-book piracy. The consumer choice between legal and illegal e-book download platforms is analysed using the multi-attribute theory for consumer decision making. 23 attributes were tested using an online questionnaire and analysed by logistic regression. Three attributes were found to be significant in determining the choice of download platforms: A low perception of the importance of copyright compliance, dissatisfaction with the security of download platforms and dissatisfaction with e-book prices in online stores.

scholarly journals Would credit scoring work for Islamic finance? A neural network approach

2014 ◽  
Vol 7 (1) ◽  
pp. 112-125 ◽  
Author(s):  
Hussein A. Abdou ◽  
Shaair T. Alam ◽  
James Mulkeen
Keyword(s):  
Neural Network ◽  
Decision Making ◽  
Credit Scoring ◽  
Islamic Finance ◽  
Decision Making Process ◽  
Data Set ◽  
Content Type ◽  
Modeling Techniques ◽  
The Uk ◽  
Training Subset

Purpose – This paper aims to distinguish whether the decision-making process of the Islamic financial houses in the UK can be improved through the use of credit scoring modeling techniques as opposed to the currently used judgmental approaches. Subsidiary aims are to identify how scoring models can reclassify accepted applicants who later are considered as having bad credit and how many of the rejected applicants are later considered as having good credit, and highlight significant variables that are crucial in terms of accepting and rejecting applicants, which can further aid the decision-making process. Design/methodology/approach – A real data set of 487 applicants is used consisting of 336 accepted credit applications and 151 rejected credit applications made to an Islamic finance house in the UK. To build the proposed scoring models, the data set is divided into training and hold-out subsets. The training subset is used to build the scoring models, and the hold-out subset is used to test the predictive capabilities of the scoring models. Seventy per cent of the overall applicants will be used for the training subset, and 30 per cent will be used for the testing subset. Three statistical modeling techniques, namely, discriminant analysis, logistic regression (LR) and multilayer perceptron (MP) neural network, are used to build the proposed scoring models. Findings – The findings reveal that the LR model has the highest correct classification (CC) rate in the training subset, whereas MP outperforms other techniques and has the highest CC rate in the hold-out subset. MP also outperforms other techniques in terms of predicting the rejected credit applications and has the lowest misclassification cost above other techniques. In addition, results from MP models show that monthly expenses, age and marital status are identified as the key factors affecting the decision-making process. Originality/value – This contribution is the first to apply credit scoring modeling techniques in Islamic finance. Also in building a scoring model, the authors' application applies a different approach by using accepted and rejected credit applications instead of good and bad credit histories. This identifies opportunity costs of misclassifying credit applications as rejected.

Part II Bank Resolution, 6 Banks in Distress

2016 ◽  
Author(s):  
Olivares-Caminal Rodrigo ◽  
Douglas John ◽  
Guynn Randall ◽  
Kornberg Alan ◽  
Paterson Sarah ◽  
...  
Keyword(s):  
Decision Making ◽  
Decision Making Process ◽  
Financial Difficulties ◽  
Bank Resolution ◽  
Central Counterparties ◽  
Bank Of England ◽  
The Uk ◽  
Building Societies

This chapter looks at the background of the Banking Act 2009 and various other reforms in the UK. While the Banking Act 2009 was originally introduced to deal with banks in distress it has been significantly modified to apply to a range of UK institutions such as building societies, investment firms, and central counterparties and banking groups. The 2009 Act provides the ‘appropriate regulator’, and the Bank of England as resolution authority provides the tools to deal with a UK institution that is experiencing financial difficulties. The chapter also looks at the recovery and resolution plans that are now an integral part of the decision-making process for the authorities as they decide how best to prepare an institution in advance of crisis.

scholarly journals “Are we talking just a bit of water out of bank? Or is it Armageddon?” Front line perspectives on transitioning to probabilistic fluvial flood forecasts in England

2020 ◽  
Vol 3 (2) ◽  
pp. 203-232
Author(s):  
Louise Arnal ◽  
Liz Anspoks ◽  
Susan Manson ◽  
Jessica Neumann ◽  
Tim Norton ◽  
...  
Keyword(s):  
Decision Making ◽  
Early Warning ◽  
Scientific Practice ◽  
Decision Makers ◽  
Decision Making Process ◽  
Probabilistic Forecasting ◽  
Flood Warning ◽  
Probabilistic Forecasts ◽  
The Uk ◽  
Ideal Framework

Abstract. By showing the uncertainty surrounding a prediction, probabilistic forecasts can give an earlier indication of potential upcoming floods, increasing the amount of time available to prepare. However, making a decision based on probabilistic information is challenging. As part of the UK-wide policy's move towards forecast-based flood risk management, the Environment Agency (EA), responsible for managing risks of flooding in England, is transitioning towards the use of probabilistic fluvial forecasts for flood early warning. While science and decision-making are both individually progressing, there is still a lack of an ideal framework for the incorporation of new and probabilistic science into decision-making practices, and, respectively, the uptake of decision-makers' perspectives in the design of scientific practice. To address this, interviews were carried out with EA decision-makers (i.e. Duty Officers), key players in the EA's flood warning decision-making process, to understand how they perceive this transition might impact on their decision-making. The interviews highlight the complex landscape in which EA Duty Officers operate and the breadth of factors that inform their decisions, in addition to the forecast. Although EA Duty Officers already account for uncertainty and communicate their confidence in the forecast they currently use, the interviews revealed a decision-making process which is still very binary and linear to an extent, which appears at odds with probabilistic forecasting. Based on the interview results, we make recommendations to support a successful transition to probabilistic forecasting for flood early warning in England. These recommendations include the new system's co-design together with Duty Officers, the preparation of clear guidelines on how probabilistic forecast should be used for decision-making in practice, EA communication with all players in the decision-making chain (internal and external) that this transition will become operational practice and the documentation of this transition to help other institutes yet to face a similar challenge. We believe that this paper is of wide interest for a range of sectors at the intersection between geoscience and society. A glossary of technical terms is highlighted by asterisks in the text and included in Appendix A.

scholarly journals Complexity in decision making: Determining university library opening hours

2017 ◽  
Vol 51 (2) ◽  
pp. 488-496
Author(s):  
Clare Ravenwood ◽  
Graham Walton ◽  
Derek Stephens
Keyword(s):  
Decision Making ◽  
Academic Library ◽  
Decision Making Process ◽  
Sources Of Information ◽  
Political Issues ◽  
University Library ◽  
The Uk

Making decisions on academic library opening hours is complex with many pressures on managers. This research surveys senior academic library managers from the UK, using a questionnaire to reveal views on library opening hours, the decision-making process, and the pressures which influenced their decisions. A variety of factors were found, in particular satisfying undergraduate demands. The research also revealed the sources of information important in making decisions on opening hours and the influence of ‘political’ issues in the decision-making process. Some institutions remove complexity by utilising 24/7 opening, though this is not an option for many.

scholarly journals COLLABORATIVE GOVERNANCE IN MEDICAL PROFESSION REGULATION: LESSONS LEARNT FROM INDONESIA

2020 ◽  
Vol 9 (2) ◽  
pp. 182
Author(s):  
Titi Savitri Prihatiningsih
Keyword(s):  
Decision Making ◽  
Medical Profession ◽  
Collaborative Governance ◽  
Medical Graduate ◽  
Decision Making Process ◽  
Medical Regulation ◽  
The Usa ◽  
Common Goals ◽  
The Government ◽  
The Uk

Background: Medical profession regulation are carried out through certification and licensure which can be executed by the government, the organizational profession or the collaboration of both. Having a long standing credibility in professional regulation, medical professions have required every medical graduate to undergo certification and licensure process. The UK system adopts the government-led and the USA system has opted for the professional-led medical regulation. In Indonesia currently there are two laws regulating medical profession, namely Medical Practice Law No.29/2004 and Medical Education Law. No.20/2013. These two Laws have given mandates for medical profession regulation to different stakeholders, resulting in conflicting roles and functions, particularly in certification and licensure. Attempts to overcome these situations have been initiated, by inviting all stakeholders involved to discuss the solution during the period of December 2014-January 2015. This study aims at understanding the decision making process to achieve consensus using the concept of collaborative governance.Method: Qualitative method using a case study is applied and documents analysis is used for data collection. Thematic analysis is employed for data analysis.Results: Six themes are identified to reflect the decision making process in collaborative governance. It starts with distrust, followed by mutual understanding and willingness to listen, then common goals are agreed. Each stakeholder conducts an internal reflection and eventually accepts a consensus.Conclusion: The concept of collaborative governance can be applied in medical profession regulation to achieve consensus in collective decision making process.

The Paradox of Parity in Sentencing in Australia: The Pursuit of Equal Justice That Highlights the Futility of Consistency in Sentencing

2013 ◽  
Vol 77 (5) ◽  
pp. 399-416 ◽  
Author(s):  
Mirko Bagaric ◽  
Athula Pathinayake
Keyword(s):  
Decision Making ◽  
Decision Making Process ◽  
Parity Principle ◽  
The Usa ◽  
The Uk ◽  
Synthesis Approach

Parity in sentencing is the principle that offenders who are parties to a crime should, all things being equal, receive the same penalty. While it is a well-established principle, the reality is that its scope is greatly limited by the largely unfettered nature of the sentencing calculus. Things are rarely equal between offenders due to the large number of variables that current orthodoxy maintains are relevant to sentencing. This makes application of the parity principle unpredictable, resulting in the paradox that parity highlights the unfairness that it is meant to mitigate: inconsistency in sentencing. This article contends that parity will remain an aspiration, as opposed to a concrete principle, until the instinctive synthesis approach to sentencing yields to a more transparent and precise decision-making process. The article focuses on Australian jurisprudence, but the analysis applies to all jurisdictions where sentencing has a considerable discretionary component (including the UK and the USA—apart from the limited circumstances where mandatory sentences apply).

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