scholarly journals Impact of the COVID-19 Pandemic on the Tourism Industry: Applying TRIZ and DEMATEL to Construct a Decision-Making Model

2021 ◽  
Vol 13 (14) ◽  
pp. 7610
Author(s):  
Dong-Shang Chang ◽  
Wei-De Wu
Keyword(s):  
Decision Making ◽  
Quality Management ◽  
Research Literature ◽  
Tourism Industry ◽  
International Travel ◽  
Clear Understanding ◽  
Decision Making Problem ◽  
Decision Making Model ◽  
The Impact ◽  
Bubble Zone

The impact of the COVID-19 pandemic on the tourism industry is still being sustained, and the response of the tourism industry is an indispensable element that is increasingly recognized. This response has led to the emergence of literature about the impact of COVID-19 on the stakeholders of the tourism industry, thereby contributing to the industry. Nonetheless, the criteria factors and investigated practices for the implementation of decision-making by stakeholders in the tourism industry have not been fully explored. This study adopts Teorija Rezhenija Izobre-tatelskikh Zadach (TRIZ) principles and Decision-Making Trial and Evaluation Laboratory (DEMATEL) methods to construct a gap model of tourism stakeholders (GMTS) which solves the tourism industry decision-making problem under COVID-19. With a research background in Taiwan’s tourism industry stakeholders made up of 15 expert participants, GMTS identified 11 criteria factors, of which the three most important criteria factors provide decision-making directions. The causal relationship between these criteria factors was examined, and a causal diagram was drawn to clarify the most important criteria factors. This research examined the criteria factor implementation perspective. Travel “bubble zones” that ensure both “safety and quality” were concluded upon under government policies in the countries and regions of the world. Furthermore, the tourism industry is responsible for the overall “planning and management” of the travel “bubble zones”. Therefore, the “quality management” criteria factor provides important key decision-making for tourism stakeholders. The research indicates that it is recommended to attach importance to the “quality management” of the international travel “bubble zone” as the priority decision-making criteria factor under the pandemic. Furthermore, conversion policies and tourism regulations are secondary criteria factors for improvement; when these two criteria factors are immediately improved, other criteria factors will be affected simultaneously and the degree of improvement will be weakened. In addition, GMTS was developed for the tourism industry. The article also provides research literature and practice implications for stakeholders in the tourism industry, thereby providing insight for tourism to obtain a clear understanding of how to prepare for the implementation of sustainable development.

A decision making model based on fuzzy inference to predict the impact of SCOR® indicators on customer perceived value

2020 ◽  
Vol 223 ◽  
pp. 107520
Author(s):  
Lucas Gabriel Zanon ◽  
Rafael Ferro Munhoz Arantes ◽  
Lucas Daniel Del Rosso Calache ◽  
Luiz Cesar Ribeiro Carpinetti
Keyword(s):  
Decision Making ◽  
Fuzzy Inference ◽  
Perceived Value ◽  
Model Based ◽  
Customer Perceived Value ◽  
Decision Making Model ◽  
The Impact

The impact on clinical practice of the 2015 reforms to the New South Wales Mental Health Act

2016 ◽  
Vol 25 (1) ◽  
pp. 43-47 ◽  
Author(s):  
Christopher James Ryan ◽  
Sascha Callaghan
Keyword(s):  
Mental Health ◽  
Decision Making ◽  
Clinical Practice ◽  
Persons With Disabilities ◽  
Mental Health Act ◽  
Recovery Movement ◽  
South Wales ◽  
Management Plans ◽  
Decision Making Model ◽  
The Impact

Objectives: The Mental Health Act 2007 (NSW) ( MHA) was recently reformed in light of the recovery movement and the United Nations Convention on the Rights of Persons with Disabilities. We analyse the changes and describe the impact that these reforms should have upon clinical practice. Conclusions: The principles of care and treatment added to the MHA place a strong onus on clinicians to monitor patients’ decision-making capacity, institute a supported decision-making model and obtain consent to any treatment proposed. Patients competently refusing treatment should only be subject to involuntary treatment in extraordinary circumstances. Even when patients incompetently refuse treatment, clinicians must make every effort reasonably practicable to tailor management plans to take account of any views and preferences expressed by them or made known via friends, family or advance statements.

scholarly journals A Decision-Making Model on the Impact of Vehicle Use on Urban Safety

2021 ◽  
Vol 13 (6) ◽  
pp. 3585
Author(s):  
Dariusz Masłowski ◽  
Małgorzata Dendera-Gruszka ◽  
Ewa Kulińska
Keyword(s):  
Decision Making ◽  
Internal Combustion Engines ◽  
Urban Traffic ◽  
Brake Pads ◽  
Wear And Tear ◽  
Urban Safety ◽  
Negative Impacts ◽  
Urban Conditions ◽  
Decision Making Model ◽  
The Impact

In the current era of urban development, people are already using electric vehicles more and more often for transport purposes, which reduces negative impacts on the environment. However, there are still vehicles in towns and cities that run on ordinary internal combustion engines. Performing optimization measures on the operation of these vehicles improves their performance, which can result in positive sustainable development effects. This article presents measures to reduce the wear and tear of urban vehicles and outlines a decision model to determine which of the vehicle parts described suffer the most frequent wear and tear under urban conditions. The article presents a list of structural elements that are most affected by urban traffic, as well as corrective actions to improve such specialized vehicles. Based on the decision analysis, Rule 1 was eliminated as having the least significant impact on vehicle wear and tear, and the least significant impact on urban safety. On the other hand, the most worn-out elements were found to be gearboxes, clutches, bus levelling electronics, and brake pads and discs. The decision-making model made it possible to identify the factors which have the greatest impact on reducing safety in urban spaces.

scholarly journals Decision-Making of Underwater Cooperative Confrontation Based on MODPSO

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2211
Author(s):  
Na Wei ◽  
Mingyong Liu ◽  
Weibin Cheng
Keyword(s):  
Decision Making ◽  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Communication Delay ◽  
Discrete Particle Swarm Optimization ◽  
Swarm Optimization ◽  
Discrete Particle ◽  
Multi Objective ◽  
Decision Making Model ◽  
The Impact

This paper proposes a multi-objective decision-making model for underwater countermeasures based on a multi-objective decision theory and solves it using the multi-objective discrete particle swarm optimization (MODPSO) algorithm. Existing decision-making models are based on fully allocated assignment without considering the weapon consumption and communication delay, which does not conform to the actual naval combat process. The minimum opponent residual threat probability and minimum own-weapon consumption are selected as two functions of the multi-objective decision-making model in this paper. Considering the impact of the communication delay, the multi-objective discrete particle swarm optimization (MODPSO) algorithm is proposed to obtain the optimal solution of the distribution scheme with different weapon consumptions. The algorithm adopts the natural number coding method, and the particle corresponds to the confrontation strategy. The simulation result shows that underwater communication delay impacts the decision-making selection. It verifies the effectiveness of the proposed model and the proposed multi-objective discrete particle swarm optimization algorithm.

Grey target decision-making model of interval grey number based on cone volume

2017 ◽  
Vol 7 (2) ◽  
pp. 247-258 ◽  
Author(s):  
Lizhen Wang ◽  
Wuyong Qian
Keyword(s):  
Decision Making ◽  
Entropy Method ◽  
Maximal Entropy ◽  
Information Distortion ◽  
Content Type ◽  
Model Based ◽  
Proposed Model ◽  
Grey Number ◽  
Decision Making Model ◽  
The Impact

Purpose The purpose of this paper is to propose a grey target decision model based on cobweb area in order to overcome the effect and influence from the extreme value of the index on the decision result. However, it does not take into account the impact of the correlation between indicators on the angle of the index, and produce a certain degree decision information distortion as a result of the equal angle between the indicators. In order to solve the above problems, a novel grey decision-making model based on cone volume is proposed. Design/methodology/approach In this paper, the model uses the whitening weight function to whiten the interval grey number, and the Delphi method and the maximal entropy method are exploited to integrate the weight of the index. On the basis of this, the center of the bull’s eye, the weight and the index value are constructed as the center circle, the radius, and the high cone, respectively. The scheme is selected by the volume of the cone, the decision is made according to the order relation, and the example is utilized to prove and analyze the validity of the proposed model. Findings The results show that the proposed model can well improve the traditional grey target decision-making model from the modeling object and modeling method. Practical implications The method exposed in the paper can be used to deal with the grey target decision-making problems which characteristics are multi-indexes, and the attribute values are interval grey numbers. Originality/value The paper succeeds in overcoming the disadvantages of grey target decision making based on the target center distance and the cobweb area.

scholarly journals Post-COVID-19 crisis travel behaviour: towards mitigating the effects of perceived risk

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tafadzwa Matiza
Keyword(s):  
Decision Making ◽  
Perceived Risk ◽  
Travel Behaviour ◽  
Potential Effect ◽  
Tourism Industry ◽  
Potential Influence ◽  
Content Type ◽  
Global Tourism ◽  
Tourist Behaviour ◽  
The Impact

Purpose The purpose of this paper is to provide insight into the on-going COVID-19 pandemic and its potential influence on tourist behaviour in the short- to medium-term. While the influence of the pandemic on tourist’s perceived risk and its impact on their future travel behaviour is understandably yet to be established, the present paper discusses the potential nexus. Additionally, this paper provides tourism practitioners with some recommendations for mitigating the effect of potential heightened perceived risk on travel and tourism decision-making post the COVID-19 crisis. Design/methodology/approach The present paper synthesises contemporary academic literature on perceived risk and post-crisis tourism with emerging information associated with the unfolding COVID-19 crisis. Findings This paper draws empirical evidence from studies related to previous health crises and their impact on tourism, as well as tourist behaviour. By discussing previous studies within the context of the on-going COVID-19, it is possible to anticipate the influence that perceived risk associated with the pandemic may have on the post-crisis behaviour of tourists. Also, short-term measures to mitigate the effects of risk on tourism are posited to guide practitioners in the future recovery of the sector. Research limitations/implications The COVID-19 pandemic is an unprecedented and on-going crisis for the global tourism industry. Hence, the present paper serves as a primer to a broader discussion within the tourism discourse and provides theoretical direction for future tourism research. Practical implications Key to the recovery of the global tourism industry will be encouraging both domestic and international tourism activity. However, while the impact of the COVID-19 crisis on tourist behaviour is yet to be substantiated, previous research predicts a situation of heightened perceived risk and the potential cognitive dissonance that may negatively influence tourist decision-making. To mitigate this potential effect, governance, augmented immigration policy, destination media profiling, recovery marketing and domestic tourism will be critical interventions. Originality/value This paper is one of the first to discuss the potential influence of the COVID-19 pandemic on the post-crisis decision-making process of tourists and their conative behaviour. As a primer to further empirical research, this paper sets a pertinent research agenda for academic inquiry within an evolving and increasingly uncertain global tourism market.

Entrepreneurship and Preservation of the Historical Sites: The Case of the Middle East Region

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Nader Asgary ◽  
Neeka Asgary
Keyword(s):  
Decision Making ◽  
Local Communities ◽  
Tourism Industry ◽  
International Travel ◽  
Active Engagement ◽  
Community Based ◽  
Graduate Degrees ◽  
East Region ◽  
Historical Sites ◽  
Middle East Region

In this study, we examine the viability of a Community Based Resource Management (CBRM) model to enhance the tourism industry. CBRM is a bottom-up model, which proposes active engagement in decision-making by stakeholders, especially local communities. The model currently implemented in most developing countries is top-down, wherein central governments are in charge of all decision-making without deliberate engagement of all stakeholders. The focus of this empirical study is on Egypt, Iran, Morocco, and Turkey (EIMT). All four countries have rich historical sites and prospects for advancement of their tourism industries, which could inherently bolster their economies. A survey was developed and disseminated through email. The resulting sample is considered to be ‘expert’ due to respondents reported international travel frequency. Additionally, approximately 80% of respondents have graduate degrees. Our empirical findings support core aspects of the CBRM model, which shows that active engagement of local persons and businesses helps in the protection of historic landmarks as well as fortifying each country’s tourism industry.

Charles E. Lindblom, “The Science of Muddling Through”

2016 ◽  
Author(s):  
Andrea Migone ◽  
Michael Howlett
Keyword(s):  
Public Policy ◽  
Decision Making ◽  
Punctuated Equilibrium ◽  
Policy Decision ◽  
Policy Sciences ◽  
Marginal Analysis ◽  
Policy Decision Making ◽  
Decision Making Model ◽  
The Impact

This chapter discusses “The Science of Muddling Through”, a 1959 paper by Charles E. Lindblom that has influenced several generations of thinking about public policy decision-making in complex situations such as government and bureaucracy. The focus of Lindblom’s paper is on incrementalism, which he originally developed in the early 1950s as a decision-making model. Incrementalism refers to the study of “muddling through” behavior on the part of actual administrators and executives and is also called the method of “successive limited comparison” or “marginal” analysis by Lindblom. This chapter examines the impact of “The Science of Muddling Through” on the development of incrementalism and decision-making studies in the policy sciences. It also considers the influence of incrementalism on budgeting and management and on “punctuated equilibrium” thinking about decision-making outcomes. It concludes with an analysis of criticisms against incrementalism.

scholarly journals An Efficient Ensemble VTOPES Multi-Criteria Decision-Making Model for Sustainable Sugarcane Farms

2019 ◽  
Vol 11 (16) ◽  
pp. 4288 ◽  
Author(s):  
N Deepa ◽  
Durai Raj Vincent P M ◽  
Senthil Kumar N ◽  
Kathiravan Srinivasan ◽  
Chuan-Yu Chang ◽  
...  
Keyword(s):  
Decision Making ◽  
Sustainable Agriculture ◽  
Rank Correlation ◽  
Correlation Method ◽  
Vital Role ◽  
Average Yield ◽  
Yield Data ◽  
Rank Correlation Method ◽  
Decision Making Model ◽  
The Impact

The role of Information Technology based decision models for sustainable agriculture has gained immense prominence in recent years. Ranking of agriculture farms based on their yield plays a vital role in sustainable agriculture. In this work, an ensemble decision-making model, namely VIKOR (Vlsekriterijumska Optimizacija I Kompromisno Resenje), TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution), entropy, and standard deviation (VTOPES), is proposed for ranking the sustainable sugarcane farms. VTOPES system model comprises of four significant steps: (i) determination of significance scores of the sub-parameters, (ii) transformation of sub-parameter sequences into main parameter values, (iii) computation of significant scores of main parameters, and (iv) generation of assessment values and deploying it for ranking the sugarcane farms. The ranking results of the proposed VTOPES model are compared with the ranking patterns obtained from five years average yield data acquired from the selected sugarcane farms. Moreover, the outcomes of the VTOPES model are also compared with other prevalent methods. Subsequently, Spearman’s rank correlation method is applied for evaluating the impact of correlation of VTOPES ranks in comparison with the average yield ranks. Thus, it can be noticed that the empirical results of the VTOPES model provide reliable and sustainable results. Therefore, it suffices to be a sustainable decision model for any problem where multiple parameters are involved.

scholarly journals THE IMPACT OF COVID-19 PANDEMIC ON MICRO & SMALL SCALE TOURISM ENTREPRENEURS: A LITERATURE REVIEW

2021 ◽  
Author(s):  
Natasya Farhana Nazry ◽  
◽  
Jabil Mapjabil ◽  
Keyword(s):  
Small And Medium Enterprises ◽  
Secondary Data ◽  
Tourism Industry ◽  
International Travel ◽  
World Health ◽  
Small Scale ◽  
Negative Effects ◽  
Tourism Sector ◽  
The Government ◽  
The Impact

The tourism sector is the single largest contributor to the total Gross Domestic Product (GDP) in Malaysia. Small and Medium Enterprises (SMEs) are divided into three levels: micro, small and medium-sized - enterprises, in a programme initiated by the government to reduce poverty and cut the income gap between rural and urban residents. The involvement of SMEs in the tourism industry has contributed to the development of a competitive advantage for the tourism industry in Malaysia. SMEs are an important component of the Malaysian economy, accounting for more than a third of the total GDP and providing employment to more than seven million people. However, when the World Health Organization (WHO) declared the COVID-19 outbreak as a worldwide pandemic, it has radically changed the direction of the tourism sector in Malaysia, especially among the micro and small scale enterprises (SMEs). In an effort to slow the spread of the virus, numerous countries introduced and mandated the use of Standard Operating Procedures (SOPs) including hand washing and sanitisation, social distancing and social isolation. Furthermore, the government has introduced several policies, improved public health systems and closed borders. These developments have restricted and even banned international travel and domestic travel, resulting in severe negative effects on the tourism sector. This unforeseen shock, to the tourism and other sectors, has dragged on for more than 12 months. It has severely curtailed the growth of micro and small scale enterprises (SMEs), leaving many such enterprises on the brink of closure. This study examines the literature and critically reviews the extent to which the COVID-19 pandemic has impacted SMEs. The methodology of this study uses the method of highlighting literature material systematically. A conceptual research method using secondary data was used in this study.

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