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.

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 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.

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 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.

scholarly journals Coupling Fuzzy Multi-Criteria Decision-Making and Clustering Algorithm for MSW Landfill Site Selection (Case Study: Lanzhou, China)

2021 ◽  
Vol 10 (6) ◽  
pp. 403
Author(s):  
Jiamin Liu ◽  
Yueshi Li ◽  
Bin Xiao ◽  
Jizong Jiao
Keyword(s):  
Decision Making ◽  
Clustering Algorithm ◽  
Fuzzy Membership Function ◽  
Multi Criteria Decision Making ◽  
Landfill Site Selection ◽  
Spatial Distribution Characteristics ◽  
Criteria Weights ◽  
Spatial Decision Making ◽  
Complex Decision

The siting of Municipal Solid Waste (MSW) landfills is a complex decision process. Existing siting methods utilize expert scores to determine criteria weights, however, they ignore the uncertainty of data and criterion weights and the efficacy of results. In this study, a coupled fuzzy Multi-Criteria Decision-Making (MCDM) approach was employed to site landfills in Lanzhou, a semi-arid valley basin city in China, to enhance the spatial decision-making process. Primarily, 21 criteria were identified in five groups through the Delphi method at 30 m resolution, then criteria weights were obtained by DEMATEL and ANP, and the optimal fuzzy membership function was determined for each evaluation criterion. Combined with GIS spatial analysis and the clustering algorithm, candidate sites that satisfied the landfill conditions were identified, and the spatial distribution characteristics were analyzed. These sites were subsequently ranked utilizing the MOORA, WASPAS, COPRAS, and TOPSIS methods to verify the reliability of the results by conducting sensitivity analysis. This study is different from the previous research that applied the MCDM approach in that fuzzy MCDM for weighting criteria is more reliable compared to the other common methods.

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