Ethical dilemmas and decision-making (models)

Author(s):  
Johan Bouwer
2020 ◽  
Vol 10 (4) ◽  
pp. 1-17
Author(s):  
Mwila Natasha Katuta

Learning outcomes The learning outcomes are as follows: students should be able to provide definitions for ethical dilemmas; students should be able to identify ethical dilemmas in a real business context; and students should be able to determine the outcomes of applying given decision-making models to a specific scenario. Case overview/synopsis The aim of this study is to demonstrate the complexity of ethical decision-making in start-up enterprises in emerging markets. The study draws on two well-known decision-making models to illustrate how their application in this context may lead to conflicting outcomes. The study data was collected through reflective entries provided by the business proprietor. These were followed up by three in-depth interviews. The data was supported by analysis of company documents provided by the case. The study demonstrates the crucible moments in entrepreneurial startups that give rise to ethical questions and the need for decision making. It demonstrates the complexity of ethical decision making in emerging contexts. The study business elected to maintain anonymity for commercial protection. This limits the scope of information that may be divulged. The study and the accompanying teaching note provide context for how to apply decision-making frameworks to real business dilemmas. This study contributes to scholarly work on teaching business ethics to undergraduate students. Complexity academic level Final Year Undergraduate. Supplementary materials Teaching Notes are available for educators only. Subject code CSS 3: Entrepreneurship.


2020 ◽  
Vol 65 (1) ◽  
pp. 108-121
Author(s):  
Jessica Burkholder ◽  
David Burkholder ◽  
Martin Gavin

2015 ◽  
Author(s):  
Samuel J. Knapp ◽  
Michael C. Gottlieb ◽  
Mitchell M. Handelsman

Author(s):  
Rasol Murtadha Najah

This article discusses the application of methods to enhance the knowledge of experts to build a decision-making model based on the processing of physical data on the real state of the environment. Environmental parameters determine its ecological state. To carry out research in the field of expert assessment of environmental conditions, the analysis of known works in this field is carried out. The results of the analysis made it possible to justify the relevance of the application of analytical, stochastic models and models based on methods of enhancing the knowledge of experts — experts. It is concluded that the results of using analytical and stochastic objects are inaccurate, due to the complexity and poor mathematical description of the objects. The relevance of developing information support for an expert assessment of environmental conditions is substantiated. The difference of this article is that based on the analysis of the application of expert methods for assessing the state of the environment, a fuzzy logic adoption model and information support for assessing the environmental state of the environment are proposed. The formalization of the parameters of decision-making models using linguistic and fuzzy variables is considered. The formalization of parameters of decision-making models using linguistic and fuzzy variables was considered. The model’s description of fuzzy inference is given. The use of information support for environment state assessment is shown on the example of experts assessing of the land desertification stage.


2008 ◽  
Vol 27 (1) ◽  
pp. 3-13
Author(s):  
Charu Chandra ◽  
Jānis Grabis

Multiple interrelated decision-making models are frequently used in supply chain modeling. Model integration is a precondition for efficient development and utilization of these models. This paper discusses use of modern information technology (IT) techniques and methods for integration of supply chain decision-making models. The overall approach to using IT at various stages of model development is presented. Data and process modeling techniques are used to developed semi-formalized representation of integrated models. These models support integration of decision-making components with other parts of supply chain information system. Process modeling is also used to describe interrelationships among multiple decision-making models. This representation is used as the basis for implementation of integrated models. The service-oriented architecture is proposed as an implementation platform. The presented discussion serves as the basis for further developments in developing integrated supply chain decision-making models.


Societies ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 85
Author(s):  
Kathleen Rodenburg ◽  
Louise Hayes ◽  
Lianne Foti ◽  
Ann Pegoraro

Sports, apart from providing entertainment, can provide an escape from everyday troubles, a community to belong to, and an opportunity to connect to the wider world. As such, sports have contributed to the unification of people, the development of peace and tolerance, and the empowerment of women and young people globally. However, sports’ widespread popularity has also contributed to “big money” opportunities for sports organizations, sporting venues, athletes, and sponsors that have created an environment riddled with ethical dilemmas that make headlines, resulting in protests and violence, and often leave society more divided. A current ethical dilemma faced by agents associated with the Olympic games serves to demonstrate the magnitude and challenges related to resolving ethical dilemmas in the sport industry. A decision-making framework is applied to this current sport’s ethical dilemma, as an example of how better ethical decision making might be achieved.


Author(s):  
Jian Li ◽  
Li-li Niu ◽  
Qiongxia Chen ◽  
Zhong-xing Wang

AbstractHesitant fuzzy preference relations (HFPRs) have been widely applied in multicriteria decision-making (MCDM) for their ability to efficiently express hesitant information. To address the situation where HFPRs are necessary, this paper develops several decision-making models integrating HFPRs with the best worst method (BWM). First, consistency measures from the perspectives of additive/multiplicative consistent hesitant fuzzy best worst preference relations (HFBWPRs) are introduced. Second, several decision-making models are developed in view of the proposed additive/multiplicatively consistent HFBWPRs. The main characteristic of the constructed models is that they consider all the values included in the HFBWPRs and consider the same and different compromise limit constraints. Third, an absolute programming model is developed to obtain the decision-makers’ objective weights utilizing the information of optimal priority weight vectors and provides the calculation of decision-makers’ comprehensive weights. Finally, a framework of the MCDM procedure based on hesitant fuzzy BWM is introduced, and an illustrative example in conjunction with comparative analysis is provided to demonstrate the feasibility and efficiency of the proposed models.


Sign in / Sign up

Export Citation Format

Share Document