Augmenting Psychiatric Risk Management: Practical Applications of Transference- Focused Psychotherapy (TFP) Principles

2019 ◽  
Vol 47 (4) ◽  
pp. 441-468
Author(s):  
Richard Hersh
Keyword(s):  
Risk Management ◽  
Practical Applications ◽  
Transference Focused Psychotherapy

scholarly journals Self-Management Portfolio System with Adaptive Association Mining: A Practical Application on Taiwan Stock Market

Mathematics ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1093
Author(s):  
Jia-Hao Syu ◽  
Yi-Ren Yeh ◽  
Mu-En Wu ◽  
Jan-Ming Ho
Keyword(s):  
Resource Allocation ◽  
Risk Management ◽  
Stock Market ◽  
Sharpe Ratio ◽  
Self Management ◽  
Association Mining ◽  
Practical Application ◽  
Trading System ◽  
Practical Applications ◽  
Financial Trading

A well-established financial trading system should well perform in resource allocation, risk management, and sustainability. In this paper, we propose a self-management portfolio system with adaptive association mining for practical applications. The system allocates funds into independent units for risk management, and utilizes association mining and adaptive closing mechanism for resource allocation and sustainability, and adopts a self-management module for monitoring positions. The proposed system boosts the annual return and Sharpe ratio to 9.1% and 0.578 (increased to 2.28 and 2.48 times), and reduces the drawdown risk to 34.6% (decreased to almost half). Furthermore, the system rapidly closes the stock positions to avoid drawdown risk in the bear markets, and gradually increases the stock positions when the market turns into bull. Compared with benchmarks, proposed system outperforms all benchmarks in all measurements and on randomly sampled dataset.

scholarly journals Book review: Enhancing patient care: a practical guide to improving quality and safety in hospitals

2009 ◽  
Vol 33 (3) ◽  
pp. 522
Author(s):  
Gary Day
Keyword(s):  
Risk Management ◽  
Patient Safety ◽  
Health Service ◽  
Patient Care ◽  
Management Program ◽  
Practical Applications ◽  
Australian Health ◽  
Quality Program ◽  
Change Motivation ◽  
Enhance Patient Care

WHAT AN INTERESTING, topical and refreshing text on patient safety and quality! As the name of the book implies, this is a practical text that takes the reader systematically through the concepts, practices and pitfalls of implementing a hospitalbased patient safety and quality program. The pleasing aspect of this book is that is written from the perspective of implementing a safety and quality program in an Australian health service. The authors are hands-on clinicians who have written this book like a personal quality journey. This approach has been very effective in presenting the reader with practical applications, approaches and challenges in developing programs that enhance patient care. This offering fills an important gap in the market. There are many texts that approach quality, safety and risk management from a theoretical or quantitative perspective. This book takes the available research and theory and illustrates how a health service can harness the available literature to develop a working guide to improving patient services. The chapter that provided very straightforward explanations of a range of change, motivation and social interaction theories particularly impressed me. One of the real revelations was the chapter that covered eighteen practical steps for implementing a clinical risk management program in a health service. This chapter goes to the heart of why this text is particularly useful. I found the book extremely useful as it provides a great framework for those wanting to start or enhance their hospital-based quality improvement and safety program. The book is well set out, easy to read and provides a wealth of examples of forms, audits and other quality tools ? and at $49.95, this local text is also excellent value for money.

scholarly journals How Does LG Group Embed Enterprise Risk Management (ERM) System In Its Conglomerate Governance To Control Its Affiliated Firms' Risk Events?

2017 ◽  
Vol 33 (3) ◽  
pp. 637-652
Author(s):  
Sangil Kim ◽  
Jungmin Yoo
Keyword(s):  
Risk Management ◽  
Agency Costs ◽  
Business Groups ◽  
Enterprise Risk Management ◽  
Management Level ◽  
Practical Applications ◽  
Enterprise Risk ◽  
External Conditions ◽  
Practical Guidance

This paper presents a case of enterprise risk management (ERM) embeddedness in LG Group, globalized conglomerate in Korea. Findings are differentiated from prior studies in two aspects. First, this study focuses on how ERM systems minimize the agency costs between conglomerate headquarters and its affiliated firms. Second, cases of diversified twelve affiliated firms find that COSO ERM framework are to be applied adaptively to entities’ inherent or external conditions as industry, age, management level etc. Those findings might be a practical guidance for most Asian business groups to embed ERM frameworks in conglomerate governances, filling gaps between theoretical COSO manual and practical applications. 

A supply chain risk management maturity model and a multi-criteria classification approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ingrid Saiala Cavalcante de Souza Feitosa ◽  
Luiz Cesar Ribeiro Carpinetti ◽  
Adiel Teixeira de Almeida-Filho
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Maturity Model ◽  
Supply Chain Risk Management ◽  
Maturity Level ◽  
Supply Chain Risk ◽  
Social Implication ◽  
Content Type ◽  
Practical Applications ◽  
Proposed Model

PurposeThe purpose of this paper is to propose a supply chain risk management (SCRM) maturity model combined with a fuzzy TOPSIS classification method to evaluate and sort an organization into a pre-defined maturity level.Design/methodology/approachAn axiomatic and prescriptive research method guided this study. Therefore, it proposes a prescriptive approach of maturity classification based on a theoretical SCRM maturity model combined with a multi-criteria decision technique.FindingsThe results of a pilot application indicated a consistent classification and the value of the model for diagnosing flaws and pointing directions for improving operational and disruption risk management. Its comprehensiveness allows applying it to supply chains of several industry sectors.Research limitations/implicationsThe proposed model does not include all possible risks and could be revised in further developments. Also, adjustment of the maturity profiles of the multi-criteria decision-making (MCDM) model requires a learning process from practical applications.Practical implicationsThe adoption of the risk management maturity grid by practitioners may bring the benefit of a more objective and comprehensive evaluation of risk management processes in the supply chain context.Social implicationsAn immediate social implication derives from the improvement actions that may result from the diagnosis of risk management vulnerabilities identified in the pilot application. In general, the proposed model has the potential to reduce risks, improve results and contribute to economic sustainability.Originality/valueThe maturity grid and decision model integrate overall aspects of risk management, bringing together managerial concepts to deal with a variety of supply chain operational risks. The combined multi-criteria classification procedure to sort the maturity level of an organization is also a novelty.

scholarly journals Design of a hybrid intelligent system for the management of flood disaster risks

2019 ◽  
Vol 8 (1) ◽  
pp. 14
Author(s):  
Oluwole Charles Akinyokun ◽  
Emem Etok Akpan ◽  
Udoinyang Godwin Inyang
Keyword(s):  
Risk Management ◽  
Flood Risk ◽  
Intelligent System ◽  
Flood Hazard ◽  
Modern Society ◽  
Multidimensional Data ◽  
Inference System ◽  
Severity Level ◽  
Practical Applications ◽  
Emergency Risk Management

The frequency of occurrence and intensity of floods is a huge threat to environment, human existence, critical infrastructure and economy. Flood risk assessments depend on probabilistic approaches and suffer from non-existence of appropriate indices of acceptable risk, dearth of information and pieces of knowledge for explicit view and understanding of the characteristics and severity level of flood hazard. This paper proposes a hybridized intelligent framework comprising fuzzy logic (FL), neural network and genetic algorithm for clustering and visualization of flood data, prediction and classification of flood risks severity level. A multidimensional knowledge model of flood incidence using star, snowflake and facts constellation schemas was proposed for the knowledge warehouse. A six-layered adaptive neuro-fuzzy inference system implementing mamdani’s inference mechanism was design to evaluate input features based on fuzzy rules held in the multidimensional data model. The system is aimed at predicticting and classifying flood risk severity levels. The perception of emergency risk management is very important in modern society. Therefore, this work provides a framework for the practical applications of data mining techniques and tools to emergency risk management. The work would assist to identify locations with significant flood risk.

scholarly journals An approach to the implementation of European Directive 2007/60/EC on flood risk management in the Czech Republic

2010 ◽  
Vol 10 (9) ◽  
pp. 1977-1987 ◽  
Author(s):  
A. Dráb ◽  
J. Říha
Keyword(s):  
Risk Management ◽  
Czech Republic ◽  
Risk Analysis ◽  
Flood Risk ◽  
Flood Hazard ◽  
Flood Risk Management ◽  
The Czech Republic ◽  
Practical Applications ◽  
Analysis Methods ◽  
Flood Risk Analysis

Abstract. Directive 2007/60/EC of the European Parliament and of the Council of 23 October 2007 on the assessment and management of flood risks (the Flood Risk Directive) signifies that flood risk analysis methods are gaining ground in EC Member States and, therefore, also in the Czech Republic (CR). Procedures of flood risk analysis have been developed in the Czech Republic since the catastrophic floods of 1997 in line with European and worldwide trends and have been tested and applied in hundreds of case studies to date. Currently, the Flood Risk Directive Guideline based on past experience with flood risk analysis applications is being processed. The aim of the paper is to present flood risk analysis procedures and specially developed techniques for the assembly of flood hazard, danger and flood risk maps. Methods related to flood risk management plans are briefly mentioned as well. The following particular problems are discussed in more detail: an application and extension of the "danger matrix" approach, the definition of residual danger, the formulation of efficiency criteria and preliminary multi-criteria flood risk assessment. These issues were tested in practical applications at pilot locations in the Czech Republic. Present experience provides evidence that the flood risk analysis methods used in the Czech Republic are in harmony with the requirements of the Flood Risk Directive. The proposed and applied methods are based primarily on existing available data such as flood extent maps, cadastral maps, the Register of Census Districts and Structures and others.

RiskTRACK: the five-factor model for measuring risk tolerance

2016 ◽  
Vol 17 (4) ◽  
pp. 428-445 ◽  
Author(s):  
Hunter Matthew Holzhauer ◽  
Xing Lu ◽  
Robert McLeod ◽  
Jun Wang
Keyword(s):  
Risk Management ◽  
Risk Factor ◽  
Portfolio Management ◽  
Financial Services ◽  
Five Factor Model ◽  
Risk Tolerance ◽  
Future Research ◽  
Content Type ◽  
Practical Applications ◽  
Tolerance Model

Purpose Currently, few academics agree on a standard and scientific way to measure risk tolerance. This paper aims to create a unique model for empirically measuring risk tolerance and to make a strong contribution to the growing literature in risk tolerance and risk management. Design/methodology/approach The authors use factor analysis and regression analysis to identify relevant factors for measuring risk tolerance. Findings The risk tolerance model is based on the acronymed model riskTRACK, which includes the five significant factors this paper identifies for measuring risk tolerance: traditional risk factor, reflective risk factor, allocation risk factor, capacity risk factor and knowledge risk factor. Research limitations/implications Uses for future research streams devoted to risk tolerance and risk management. Practical implications The results also have practical applications for the financial services industry, particularly risk management, portfolio management and financial planning. Originality/value In sum, this research expands previous research in risk tolerance and also adds to the growing literature in risk management. Once again, this paper is unique in that the authors develop a valid and reliable risk tolerance model based on five specific factors for measuring risk tolerance.

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