Whistleblowing and Boundary Violations: exposing a colleague in the forensic milieu

2003 ◽  
Vol 10 (5) ◽  
pp. 526-537 ◽  
Author(s):  
Cindy Peternelj-Taylor
Keyword(s):  
Decision Making ◽  
Nursing Practice ◽  
Clinical Situation ◽  
Psychiatric Nursing ◽  
Boundary Violations ◽  
Boundary Violation ◽  
Forensic Psychiatric ◽  
The Right

The purpose of this article is to examine the phenomenon of whistleblowing as it relates to a reconstructed case study of an erotic boundary violation that emerged from a clinical situation in forensic psychiatric nursing practice. The unique features of this case are illustrated with the help of a model for decision making. Although the ramifications of exposing a colleague are many, it is argued that, in this particular case, it was morally and ethically the right thing to do.

An integrated machine learning: Utility theory framework for real-time predictive maintenance in pumping systems

2020 ◽  
pp. 095440542097051
Author(s):  
Raghad M Khorsheed ◽  
Omer Faruk Beyca
Keyword(s):  
Machine Learning ◽  
Decision Making ◽  
Utility Theory ◽  
Predictive Maintenance ◽  
Manufacturing Operations ◽  
Pumping Stations ◽  
Bearing Failures ◽  
Temperature Levels ◽  
The Right

Bearings are the most widely used mechanical parts in rotating machinery under high load and high rotational speeds. Operating continuously under such harsh conditions, wear and failure are imminent. Developing defects give rise to even-higher vibration and temperature levels. In general, mechanical defects in a machine cause high vibration levels. Therefore, bearing fault identification and early detection enables the maintenance team to repair the problem before it triggers catastrophic failure in the bearing. Machine downtime is thus avoided or minimized. This paper explores the use of Machine Learning (ML) integrated with decision-making techniques to predict possible bearing failures and improve the overall manufacturing operations by applying the correct maintenance actions at the right time. The accuracy of the Predictive Maintenance (PdM) module has been tested on real industrial production datasets. The paper proposes an effective PdM methodology using different ML algorithms to detect failures before they happen and reduce pump downtime. The performance of the tested ML algorithms is based on five performance indicators: accuracy, precision, F-score, recall, and an area under curve (AUC). Experimental results revealed that all tested ML algorithms are successful and effective. Furthermore, decision making with utility theory has been employed to exploit the probability of failures and thus help to perform the appropriate maintenance interventions. This provides a logical framework for decision-makers to identify the optimum action with the maximum expected benefit. As a case study, the model is applied on forwarding pumping stations belonging to the Sewerage Treatment Company (STC), one of the largest sewage stations in Qatar.

scholarly journals Outsourcing energy retrofitting of hotel buildings: the decision-making process

2019 ◽  
Vol 266 ◽  
pp. 01016 ◽  
Author(s):  
M.F.F. Fasna ◽  
Sachie Gunatilake
Keyword(s):  
Decision Making ◽  
Energy Performance ◽  
Decision Making Process ◽  
Existing Buildings ◽  
Energy Retrofit ◽  
Energy Efficiency Improvement ◽  
Adoption And Implementation ◽  
Energy Service ◽  
The Right

Poor energy performance of existing buildings worldwide has led to a crucial need to retrofit existing buildings to minimise energy consumption. Among the existing buildings, hotels use as much as 50% of their total expenses on energy and offer significant opportunities for energy efficiency improvement. Yet, comparatively the level of implementation of energy retrofits found to be low, which has attributed to, inter alia, the absence of a clearly defined process for ensuring the delivery of energy retrofit projects and lack of proactive guidance for project teams to ensure that they make the right decisions at the right time to achieve the desired outcomes. Since many energy retrofit projects in existing hotels are carried out with the involvement of an external contractor, or an Energy Service Company (ESCO), this study focuses on investigating the decision-making process in implementing energy retrofits when the project is outsourced to an external party. An in-depth case study is used to obtain insights into the critical decisions to be taken and key activities to be performed throughout the decision-making process. The findings are used to propose a step-by-step decision-making process comprising of three key phases: i.e., pre-retrofit, retrofit implementation and post-retrofit. It is hoped that the decision-making process developed in this study will serve as a roadmap for the effective adoption and implementation of energy retrofits in existing hotel buildings when an external contractor is involved.

scholarly journals AHP Method to Support Decision Making for Sustainability

2020 ◽  
Vol 13 (4) ◽  
pp. 32
Author(s):  
Wail El hilali ◽  
Abdellah El manouar ◽  
Mohammed Abdou Janati Idrissi
Keyword(s):  
Decision Making ◽  
Business Models ◽  
Multicriteria Decision Making ◽  
Ahp Method ◽  
Telecom Operator ◽  
Fierce Competition ◽  
The Right ◽  
Scarcity Of Resources ◽  
New Framework

In these challenging times, finding a way to sustain the created value becomes a must. The fierce competition, the risk of disruption, the rise of customer awareness and the scarcity of resources, all these are few of many drivers that push companies to invest in sustainability. This paper is an attempt to enrich the literature about this subject. It mainly explores how to use the AHP method, a well-known multicriteria decision making technique, to decide about the right actions to implement, in order to reach sustainability. The paper is a continuity of a previous work that introduced a new framework that explained how companies could sustain their business models through information systems (IS). This approach was applied on a telecom operator, as a case study, to explain well how companies could choose the right actions to implement, in order to reach sustainability.

Advantages, Limitations, and Solutions in the Use of ERP Systems

2013 ◽  
pp. 665-674
Author(s):  
Paula Serdeira Azevedo ◽  
Mário Romão ◽  
Efigénio Rebelo
Keyword(s):  
Decision Making ◽  
Enterprise Resource Planning ◽  
Hospitality Industry ◽  
Resource Planning ◽  
Erp Systems ◽  
Heterogeneous Information ◽  
Industry Sector ◽  
Information Spread ◽  
The Right

Enterprise Resource Planning (ERP) systems have emerged as solutions oriented to manage organizations’ resources in an integrated way. They allow the automation of department activities, make information available to users at the right time, and support more accurately their decision-making needs. However, although the implementation of these systems has brought considerable benefits to users, they do not cover all processes from all industries. Many organizations have recognized this limitation and consequently felt the need to implement specific solutions to their industry, sector, or line of business. From the collected case study business drivers and objectives, the authors analyze the advantages and limitations of ERP Systems in the hospitality industry in order to understand how this industry uses ERP Systems and solves the challenge of integrating information spread through several heterogeneous information systems.

Choosing action plans for strategic manufacturing objectives using AHP

2019 ◽  
Vol 30 (1) ◽  
pp. 180-194 ◽  
Author(s):  
Andrea Chiarini
Keyword(s):  
Decision Making ◽  
Action Plan ◽  
Decision Making Process ◽  
Action Plans ◽  
Manufacturing Strategy ◽  
Analytic Hierarchy ◽  
Managerial Style ◽  
Content Type ◽  
The Right

Purpose The purpose of this paper is to investigate whether the analytic hierarchy process (AHP) methodology can help in the decision-making process of choosing action plans linked to manufacturing strategy. The research also analyses the path which some managers followed for defining and selecting the action plans as well as the organisational obstacles and pitfalls the managers encountered. Design/methodology/approach The authors conducted an exploratory case study in a medium-sized Italian manufacturing company. The authors collected, coded and discussed data from the AHP implementation. Furthermore, during the observation of how the managers dealt with the decision-making path, the authors collected, coded and discussed the qualitative data. Findings Results showed that AHP made the decision-making process of choosing between alternative plans more objective. However, the authors observed obstacles and pitfalls mainly linked to organisational aspects such as creating team and staff’s awareness, involvement and commitment as well as staff’s skills. Other interesting findings are linked to the creation of managers’ consensus and the top manager’s managerial style and how the latter could affect the AHP consistency ratio. Research limitations/implications This research is based on a case study. The findings need to be tested by other scholars and practitioners in different organisations. Moreover, issues such as management consensus and negotiation in manufacturing organisations and managerial style need further research. Practical implications AHP methodology can help practitioners who are dealing with the deployment of strategic manufacturing objectives and who are trying to employ methods for choosing the right action plan. Besides, practitioners are aware of specific organisational obstacles and pitfalls encountered on the strategic deployment path. Originality/value This paper proposes for the first time the use of the AHP methodology for choosing between action plans derived from strategic manufacturing objectives.

scholarly journals Doing the right thing or doing things right: what is better for a successful manufacturing reshoring?

2021 ◽  
Author(s):  
Albachiara Boffelli ◽  
Luciano Fratocchi ◽  
Matteo Kalchschmidt ◽  
Susana Cristina Lima da Costa e Silva
Keyword(s):  
Decision Making ◽  
Implementation Process ◽  
Fashion Industry ◽  
Offshore Production ◽  
Different Types ◽  
Multiple Case ◽  
The Right ◽  
Cross Case Analysis ◽  
Process Managers

AbstractThe article concerns the revision of earlier decisions to offshore production activities (so called “relocation of second degree”); more specifically it is focused on the “reshoring” (also referred as “relocation to the home country”, “back-reshoring” or “back-shoring”). The research aims are to investigate what types of mistakes occur along the decision-making and implementation process and how they affect the outcome, in terms of success or failure, of a relocation strategy. A multiple case study involving four companies in the fashion industry from Portugal and Italy was conducted. The cross-case analysis allowed to differentiate decision-making mistakes from implementation ones and to assess differences and similarities among the cases in terms of content of the relocation, drivers and outcomes. The research contributes to previous literature on reshoring by bringing evidence of different types of mistakes to be considered, thus requiring further conceptualization of the reshoring process. Managers and entrepreneurs should consider the importance of doing the things right also during the implementation, too often underestimated. The present article is the first one in the reshoring literature bringing evidence of cases of failure in the relocation decisions and discriminating among different kinds of mistakes.

scholarly journals Selecting Cloud Deployment Model Using a Delphi Analytic Hierarchy Process (DAHP)

2015 ◽  
Vol 3 (1) ◽  
pp. 59-70
Author(s):  
James Ngeru ◽  
Tridip Kumar Bardhan
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Service Providers ◽  
Low Cost ◽  
Cloud Services ◽  
Analytic Hierarchy ◽  
Business Needs ◽  
The Right ◽  
Hierarchy Process

Cloud computing is a significant paradigm shift in information technology (IT) service offerings that has been receiving enormous attention in academic and IT industry. Recent years has seen exponential growth in cloud use adoption, where many organizations are moving their IT resources into cloud due to flexibility and low-cost. However, on account of rapid innovation and growth in cloud technologies and service providers, selecting the right cloud services, provider and strategy is becoming increasing a common challenge to organization during cloud adoption. In an attempt to address this challenge, we propose application of Delphi Analytic Hierarchy Process (DAHP) method in selecting cloud deployment model. There are several cloud deployment models and organizations must identify the right model that best suits their business needs. The proposed approach facilitates a collaborative decision making process, consisting a number of decision makers whom, with consensus facilitated by the DAHP process, identifies feasible approaches, decision making factors and ultimate selection of a cloud deployment model alternative that is based on organizational business needs and capabilities. The DAHP process is illustrated by a means of a case study. The DAHP result analysis, as was illustrated in the case study, helps in explaining and justifying the choice selected as the best cloud deployment model.

scholarly journals LEARNING METHODS OF DECISION MAKING SKILLS: DISCUSSION, ASSIGNMENT, AND PRACTICE Case Study in Islamic Boarding School of Jagad 'Alimussirry, Indonesia

2020 ◽  
Vol 5 (1) ◽  
pp. 1-8
Author(s):  
Asmaul lutfauziah
Keyword(s):  
Decision Making ◽  
Survey Research ◽  
Boarding School ◽  
Relevant Information ◽  
Learning Method ◽  
Learning Methods ◽  
The Right ◽  
Alternative Solutions ◽  
Learning Concept

Generally, the learning in Islamic boarding schools use classic methods, ie. rote, bandongan, or sorogan. Decision-making skills is one of the skills needed in the 21st century. This study aims to describe the learning method of decision-making skills. This research is a case study in islamic boarding school of Jagad ‘Alimussirry, Indonesia. It is survey research. The data were obtained through a questionnaire that consists of 9 items of the statement by a 4-point Likert scale. The questionnaire were given to 46 students and 5 lecturers after learning. This study also conducted observations during the learning in 5 courses. The observations were made by 2 observers. The results showed that decision-making skills have been taught with good enough category. The learning methods of decision-making skills is discussion, assignment, and practice. The learning concept are: 1) discuss the expectations and the reality to identify problems with good enough category, 2) assign students to gather relevant information by good enough category, 3) discuss the strategies of mapping for all alternative solutions by good less category, and 4) practice to choose the right decision by good enough category. The strategies of mapping the alternative solutions need to be repaired.

Challenges of percutaneous pulmonary valve implantation

2020 ◽  
pp. 127-144
Author(s):  
Robin HS Chen ◽  
Salim Jivanji ◽  
Sachin Khambadkone
Keyword(s):  
Decision Making ◽  
Right Ventricular Outflow Tract ◽  
Ventricular Outflow Tract ◽  
Percutaneous Approach ◽  
Percutaneous Pulmonary Valve Implantation ◽  
The Right ◽  
Valve Implantation ◽  
Percutaneous Pulmonary Valve ◽  
Artery Conduit

This case study looks at a common pathway in the management of a patient with truncus arteriosus. The chapter follows the various considerations in decision-making and the conundrums in contemplating an intervention in the right ventricular outflow tract. The chapter explores the evidence available in determining an intervention and the suitability in consideration for a percutaneous approach. It further explores the various conduits used in the creation of a ‘right ventricle to pulmonary artery’ conduit and the resulting challenges associated with them, the pre-procedural workup, the benefits and risks in the percutaneous approach, and the various valves (specifically the Melody® valve) currently available.

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