scholarly journals Decision-making on Implementation of IPO Under Topological Uncertainty

2015 ◽  
Vol 63 (1) ◽  
pp. 193-200 ◽  
Author(s):  
Karel Doubravský ◽  
Tomáš Meluzín ◽  
Mirko Dohnal
Keyword(s):  
Decision Making ◽  
Decision Trees ◽  
Initial Public Offering ◽  
Decision Makers ◽  
Structure Topology ◽  
Complex Decision Making ◽  
Flexible Integration ◽  
Complex Decision ◽  
Public Offering

IPO (Initial Public Offering) is a complex decision making task which is always associated with different types of uncertainty. Poor accuracies of available probabilities of lotteries e.g. quantification of investor interest is studied in the first part of this paper (Meluzín, Doubravský, Dohnal, 2012). However, IPO is often prohibitively ill-known. This paper takes into consideration the fact that decision makers cannot specify the structure/topology of the relevant decision tree. It means that one IPO task is specified by several (partially) different decision trees which comes from different sources e.g. from different teams of decision makers/experts. A flexible integration of those trees is based on fuzzy logic using the reconciliation (Meluzín, Doubravský, Dohnal, 2012). The developed algorithm is demonstrated by a case study which is presented in details. The IPO case integrates two partially different decision trees.

Drifting the goals archetype: a systemic study

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Virupaxi Bagodi ◽  
Biswajit Mahanty
Keyword(s):  
Decision Making ◽  
Systems Thinking ◽  
Decision Makers ◽  
Content Type ◽  
Area Of Interest ◽  
Complex Decision Making ◽  
Complex Decision ◽  
Current Reality

PurposeManagerial decision-making is an area of interest to both academia and practitioners. Researchers found that managers often fail to manage complex decision-making tasks and system thinkers assert that generic structures known as systems archetypes help them to a great deal in handling such situations. In this paper, it is demonstrated that decision makers resort to lowering of goal (quick-fix) in order to resolve the gap between the goal and current reality in the “drifting the goals” systems archetype.Design/methodology/approachA real-life case study is taken up to highlight the pitfalls of “drifting the goals” systems archetype for a decision situation in the Indian two-wheeler industry. System dynamics modeling is made use of to obtain the results.FindingsThe decision makers fail to realize the pitfall of lowering the goal to resolve the gap between the goal and current reality. It is seen that, irrespective of current less-than-desirable performance, managers adopting corrective actions other than lowering of goals perform better in the long run. Further, it is demonstrated that extending the boundary and experimentation results in designing a better service system and setting benchmarks.Practical implicationsThe best possible way to avoid the pitfall is to hold the vision and not lower the long term goal. The managers must be aware of the pitfalls beforehand.Originality/valueSystems thinking is important in complex decision-making tasks. Managers need to embrace long-term perspective in decision-making. This paper demonstrates the value of systems thinking in terms of a case study on the “drifting the goals” systems archetype.

scholarly journals MULTI-CRITERIA MODEL BASED ON LINGUISTIC NEUTROSOPHIC NUMBERS: THE SELECTION OF UNMANNED AIRCRAFT

2020 ◽  
Vol 14 (1) ◽  
Author(s):  
Goran Ćirović ◽  
Dragan Pamučar ◽  
Nataša Popović-Miletić
Keyword(s):  
Decision Making ◽  
Forest Fires ◽  
Unmanned Aircraft ◽  
Decision Makers ◽  
New Approach ◽  
Complex Decision Making ◽  
Complex Decision ◽  
Linguistic Neutrosophic Numbers ◽  
Selection Of

The paper presents a new approach in treating uncertainty and subjectivity in the decision making process based on the modification of Multi Attributive Border Approximation area Comparison (MABAC) and an Objective-Subjective (OS) model by applying linguistic neutrosophic numbers (LNN) instead of traditional numerical values. By integrating these models with linguistic neutrosophic numbers it was shown that it is possible to a significant extent to eliminate subjective qualitative assessments and assumptions by decision makers in complex decision-making conditions. On this basis, a new hybrid LNN OS-MABAC model was formed. This model was tested and validated on a case-study of the selection of optimal unmanned aircraft intended to combat forest fires.

scholarly journals Evaluación comparativa multifuncional de sistemas agrarios mediante AHP: Aplicación al olivar ecológico, integrado y convencional de Andalucía

2011 ◽  
Vol 5 (9) ◽  
pp. 27 ◽  
Author(s):  
Carlos Parra López ◽  
Javier Calatrava Requena ◽  
Tomás De Haro Giménez
Keyword(s):  
Decision Making ◽  
Farming Systems ◽  
Point Of View ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Complex Decision Making ◽  
Olive Groves ◽  
Complex Decision ◽  
Hierarchy Process

Even though multifunctionality concept is reflected, implicit or explicitly, in the design of actual agrarian policies, its consideration when analysing and assessing farming systems is relatively limited in the scientific literature. Analytic Hierarchy Process (AHP) is proposed with this aim. AHP is a multicriteria discrete decision support technique that is used in complex decision making. This methodology is stated jointly with a proposed procedure to measure relative agreement among decision makers and uniformity of alternatives’ performances in group decision making. Finally AHP is implemented in the assessment of organic, integrated and conventional olive groves in Andalusia considering criteria of a different nature – economic, technical, sociocultural and environmental –. The final purpose is determining the more interesting growing techniques from a holistic point of view for all the society in the medium/long-term on the basis of knowledge of experts on olive.

PLANNING A PRODUCT FOR TOURING DESTINATIONS THROUGH THE USE OF SPATIAL MATHEMATICAL ANALYSIS

2006 ◽  
Vol 12 (2) ◽  
pp. 71-82
Author(s):  
Chris Vassiliadis ◽  
John Mylonakis
Keyword(s):  
Decision Making ◽  
Spatial Analysis ◽  
Mathematical Models ◽  
Mathematical Analysis ◽  
Nearest Neighbor ◽  
Northern Greece ◽  
Railway Stations ◽  
Complex Decision Making ◽  
Complex Decision

Mathematical models provide spatial analysis to help complex decision-making and can be successfully applied to product planning in tourism. This paper presents a case study, and suggests one process by which planning agencies may evaluate the railway stations in the Northern Greece network. Six geographical points of distinction are identified for promotion based on linear-nearest neighbor analysis and the connectivity index. A functional diagram evaluates each point based on infrastructure, natural and cultural attractions. Finally, these indicators suggest marketing considerations, which may lend support to Management or stakeholders’ discussions to maximize the geographic points.

Big Data and Web Intelligence

Big Data ◽  
2016 ◽  
pp. 229-246 ◽  
Author(s):  
Alberto Pliego ◽  
Fausto Pedro García Márquez
Keyword(s):  
Decision Making ◽  
Decision Trees ◽  
Computational Cost ◽  
New Approach ◽  
Computational Costs ◽  
Use Of Data ◽  
Decision Making Processes ◽  
Complex Decision Making ◽  
Unique Factor ◽  
Complex Decision

The growing amount of available data generates complex problems when they need to be treated. Usually these data come from different sources and inform about different issues, however, in many occasions these data can be interrelated in order to gather strategic information that is useful for Decision Making processes in multitude of business. For a qualitatively and quantitatively analysis of a complex Decision Making process is critical to employ a correct method due to the large number of operations required. With this purpose, this chapter presents an approach employing Binary Decision Diagram applied to the Logical Decision Tree. It allows addressing a Main Problem by establishing different causes, called Basic Causes and their interrelations. The cases that have a large number of Basic Causes generate important computational costs because it is a NP-hard type problem. Moreover, this chapter presents a new approach in order to analyze big Logical Decision Trees. However, the size of the Logical Decision Trees is not the unique factor that affects to the computational cost but the procedure of resolution can widely vary this cost (ordination of Basic Causes, number of AND/OR gates, etc.) A new approach to reduce the complexity of the problem is hereby presented. It makes use of data derived from simpler problems that requires less computational costs for obtaining a good solution. An exact solution is not provided by this method but the approximations achieved have a low deviation from the exact.

Big Data and Web Intelligence

2015 ◽  
pp. 190-207 ◽  
Author(s):  
Alberto Pliego ◽  
Fausto Pedro García Márquez
Keyword(s):  
Decision Making ◽  
Decision Trees ◽  
Computational Cost ◽  
New Approach ◽  
Computational Costs ◽  
Use Of Data ◽  
Decision Making Processes ◽  
Complex Decision Making ◽  
Unique Factor ◽  
Complex Decision

The growing amount of available data generates complex problems when they need to be treated. Usually these data come from different sources and inform about different issues, however, in many occasions these data can be interrelated in order to gather strategic information that is useful for Decision Making processes in multitude of business. For a qualitatively and quantitatively analysis of a complex Decision Making process is critical to employ a correct method due to the large number of operations required. With this purpose, this chapter presents an approach employing Binary Decision Diagram applied to the Logical Decision Tree. It allows addressing a Main Problem by establishing different causes, called Basic Causes and their interrelations. The cases that have a large number of Basic Causes generate important computational costs because it is a NP-hard type problem. Moreover, this chapter presents a new approach in order to analyze big Logical Decision Trees. However, the size of the Logical Decision Trees is not the unique factor that affects to the computational cost but the procedure of resolution can widely vary this cost (ordination of Basic Causes, number of AND/OR gates, etc.) A new approach to reduce the complexity of the problem is hereby presented. It makes use of data derived from simpler problems that requires less computational costs for obtaining a good solution. An exact solution is not provided by this method but the approximations achieved have a low deviation from the exact.

Towards an Ontology for Impact Projection of Complex Decisions

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Decision Making ◽  
Decision Analysis ◽  
Decision Makers ◽  
Decision System ◽  
Constant Change ◽  
Work Tasks ◽  
Complex Decision ◽  
The Impact

Complex decisions are an unusual process, composed of actions. An impact is a measure of the tangible and intangible consequences of one thing on another. Impacts are interdependent, and the environment in which they are measured generates constant change for decision making. This paper proposes the impact projection’s conceptualization, organized into a meta-ontology called OntoImpact. It comprises concepts that are crucial in supporting the understanding and representation of impact projections for complex decisions. The main contribution of OntoImpact is to support decision-makers in their work tasks, besides providing bases to support the development of a complex decision system. This paper was evaluated in a case study of an emergency domain. The results show that OntoImpact provides elements that can support complex decision analysis and project impacts in a collaborative way.

scholarly journals Actors’ interaction, process management and complex decision-making in public-private partnership

2021 ◽  
Vol 29 (2) ◽  
Author(s):  
Najmus SAYADAT
Keyword(s):  
Decision Making ◽  
Policy Implementation ◽  
Network Management ◽  
Process Management ◽  
Interaction Process ◽  
Private Partnership ◽  
Policy Performance ◽  
Complex Decision Making ◽  
Complex Decision

Government of Bangladesh has been encouraging Public-Private Partnership (PPP) since 1990s for engaging private investment in infrastructure development and service delivery. However, in implementing PPP policy in Bangladesh, it has been observed that performance in one PPP differs from another PPP. Considering it as policy implementation deficit, this study looks policy performance through the lens of actors’ interaction, process management and complex decision-making perspective with the following research question: How far actors’ interaction, consensus building and complex decision making in PPP policy implementation can explain policy performance? The question is answered following network management and complex decision-making theoretical approach. Qualitative research method and case study strategy with two cases is considered for this study. Semi-structured interviews were conducted with 24 key respondents. For analyzing case study data, within-case analysis and cross-case synthesis have been adopted. The findings uphold the view that at implementation phase, actors’ willingness to compromise, issue solving, resolving dispute, positive decision and positive attitude towards PPP, are vital for actors’ satisfaction. Therefore, study findings contribute to knowledge by confirming network management and complex decision making as useful in explaining PPP policy performance in Bangladesh.

INVESTIGATING CONFLICTS IN COTS DECISION-MAKING

2003 ◽  
Vol 13 (05) ◽  
pp. 473-493 ◽  
Author(s):  
CARINA ALVES ◽  
ANTHONY FINKELSTEIN
Keyword(s):  
Decision Making ◽  
Selection Process ◽  
Decision Making Process ◽  
Customer Requirements ◽  
Mail Server ◽  
Different Types ◽  
Complex Decision Making ◽  
Complex Decision

The development of COTS-based systems largely depends on the success of the selection process. This activity encompasses the evaluation of COTS packages against customer requirements, so that it is necessary to perform a complex decision-making process to select the most suitable package. We argue that analysing the matching between features and requirements is a core task of COTS decision-making. In particular, it is very likely that mismatches occur, as COTS are designed to meet very general requirements rather than specific needs. In this paper, we investigate the different types of conflicts that can arise from these mismatches. We propose a goal driven framework to deal with such conflicts. We demonstrate the approach with the mail server case study.

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