An overview of fuzzy multi-criteria decisionmaking methods in hospitality and tourism industries: bibliometrics, methodologies, applications and future directions

Stakeholders in hospitality and tourism industries are involved in many decision-making scenarios. Multi-criteria decision-making (MCDM) methods have been widely used in hospitality and tourism industries. Although some articles summarised the applications of MCDM models in hospitality and tourism industries, they ignored the fuzziness of individual cognition in an uncertain environment. In addition, these surveys lacked a comprehensive overview from the perspective of bibliometrics analysis and content analysis regarding the whole hospitality and tourism industries. To analyse the applications of fuzzy MCDM methods in hospitality and tourism industries and further explore future research directions, this article reviews 85 selected papers published from 1997 to 2022 regarding fuzzy MCDM models applied in hospitality and tourism industries. Through analysing the results of bibliometric analysis, methodologies and applications, we found that analytic hierarchy process (AHP) and TOPSIS methods are the most widely used MCDM methods, and tourism evaluation, hotel evaluation and selection, tourism destination evaluation and selection are the most attractive research issues in hospitality and tourism industries. Finally, future research directions are proposed from three aspects. This article provides insights for researchers and practitioners who have interest in fuzzy MCDM models in hospitality and tourism industries

Assessing sustainability performance of high-tech firms through a hybrid approach

Purpose: In light of the lack of subjective criteria and scientific rationality in current sustainability performance assessment, the purpose of this paper is conducted to improve the sustainability performance assessment of high-tech firms by developing a hybrid approach that integrates quantitative and qualitative research methods. Design/methodology/approach: This study proposed a hybrid approach that integrates word frequency analysis, cluster analysis, grey theory and the decision-making and trial evaluation laboratory (DEMATEL) method. Specifically, this study identifies useful criteria using quantitative word frequency analysis as well as qualitative literature research. Then, cluster analysis is used to divide these criteria into different categories. Subsequently, this study applies the grey theory associated with the DEMATEL method to assess the sustainability performance of high-tech firms. Findings: The results reveal that the socio-environment is an important aspect underlying the corporate sustainability performance of high-tech firms. Therefore, high-tech firms should enhance their pollution emission control capabilities and increase investment in energy-conservation and emission-reduction technologies to drive sustainable development. In addition, increasing green product sales revenue and improving the guiding capability of green consumption are core issues that firms must address. Originality/value: This study assesses the sustainability performance of high-tech firms by applying a hybrid method. This method can be used to construct a framework for scientific sustainability performance assessment and to provide a clear direction for the sustainable development of firms

エコ産業団地と循環経済型産業の評価指標システムの開発と総合評価

Circulation economy is the inevitable choice of industrialization because of improving the economic efficiency and reducing resource consumption, can fundamentally solve the contradiction between economic growth and environmental protection. The general evaluation of circular economy can be conducted from city level, industrial-park level, and enterprise level. However, the researches on the enterprise level and industrial park level are relatively few, and a unified standard system framework is not yet to be formed. In this study, the circular economy was evaluated for enterprises and eco-industrial parks. The AHP method and the expert consultation questionnaire method are used to establish their respective evaluation index systems and the weights of each index. An eco-industrial park (TEDA) and an enterprise (Tianjin SDIC power plant) as the example, their circular economy levels were conducted the comprehensive evaluation respectively according to established evaluation index systems. The results show that the established evaluation index systems have a good performance.北九州市立大

A Novel Approach to Incubator Evaluations: The PROMETHEE Outranking Procedures

Considerable public resources are devoted to the establishment and operation of business incubators (BIs), which are seen as catalysts for the promotion of entrepreneurship, innovation activities and regional development. Despite the vast amount of research that has focused on the outcomes or effectiveness of incubator initiatives and how to measure incubator performance, there is still little understanding of how to determine incubators that are more effective than others. Based on data from 410 graduate firms, this paper applies the multi-criteria outranking technique PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation) and compares the long-term effectiveness of five technology-oriented BIs in Germany. This is the first time that outranking procedures are used in incubator evaluations. In particular, we investigate whether PROMETHEE is a well-suited methodological approach for the evaluation and comparisons in the specific context of business incubation.business incubators, evaluation, performance measures, PROMETHEE, Outranking

Application of a decision-making tool for ranking wellness tourism destinations

Abstract: One of the tourism industry’s segments with the strongest growth rates today is health tourism. Health tourism includes two subgroups: medical tourism (traveling outside one’s country of residence for the purpose of receiving medical care, such as surgery and health services) and wellness tourism (travel to specific locations for health promotion in a preventive way). The economic strength and sustainable growth of nations can both benefit from health tourism. This study applies a methodology to quantify the potential of Portuguese wellness tourism (thermal spas in Northern Portugal) using a multi-criteria decision making (MCDM) tool, namely the preference ranking organization method for enrichment evaluations (PROMETHEE) and geometrical analysis for interactive aid (GAIA), to achieve a robust evaluation and ranking the alternatives. Therefore, in this study, the aim is to rank ten thermal spas in Northern Portugal in terms of fifteen indicators, mostly related to digital services, containing the tourism data obtained between 2020 and 2022. The suggested approach offers trustworthy and reliable outcomes for any qualitative or quantitative criteria to assess thermal spas, which is crucial for consumers, businesses, and even governments. The results showed that PROMETHEE and GAIA can be implemented as an effective method in wellness tourism destinations evaluation.info:eu-repo/semantics/publishedVersio

Personalized Multidimensional Process Framework For Dynamic Risk Analysis In The Real Estate Industry

The risk analysis for real estate property investment is subject to high risk. It is qualitatively and quantitatively assessed by various techniques such as the analytical hierarchy process (AHP) and the analytic network process (ANP) which determine the risk factors based on expert survey, weight and rank the factors using algorithm and mathematical formula and decide the best investment based on performance index of the alternatives given. However, experts from the field have different opinions and judgments about the environment of the real estate industry and this scenario will affect the result of the risk factor weight and ranking. Moreover, different investors have different goals and objectives to be achieve. Thus, this paper will propose a new personalized multidimensional process (PMP) framework based on knowledge discovery. This framework comprises of two new methods namely the personalized association mapping (PAM) method and the personalized multidimensional sensitivity analysis (PM-SA) method. The innovations of this research are the justification of risk factor weight and ranking. It will be based on deterministic approach using historical data driven to decision support using knowledge discovery in database and the heuristic approach which is refers to investors personalization of the risk factors which fulfil their requirements

Model of regional tourism competitiveness : fuzzy multiple-criteria approach (FDM-FAHP-PROMETHE II framework)

Purpose: The aim of the article is to build a research, comprehensive and objective model that takes into account various factors determining the regional tourism competitiveness on the example of 21 counties in the West Pomeranian Voivodeship. Degign/Methodology/Approach: The model uses the concept of fuzzy numbers, the Delphi method and two multi-criteria methods: AHP and PROMETHE II. An important scientific contribution to the issue of regional competitiveness of tourism is an in-depth look at several dozen different criteria, that have an impact on it. Collected data and the used research methods made it possible to reliably select those that should be noticed and developed by various stakeholders in the region. Findings: The main conclusion resulting from the research is the fact that the most important criteria for the level of tourist competitiveness of a destination include natural tourist attraction, anthropological tourist attractions, accommodation base, recreational infrastructure and catering base; whereas the criterion of safety and facilities for disabled tourists and para-tourist infrastructure is of little importance. The county with the highest level of tourism competitiveness is Kołobrzeg county, and the lowest - Pyrzycki county. Practical implications: An important scientific and practical contribution to the issue of regional competitiveness of tourism is an in-depth look at several dozen different criteria, that have an impact on it. Collected data and the used research methods made it possible to reliably select those that should be noticed and developed by various stakeholders in the region. Originallity value: Comprehensive approach to tourism competitiveness of regions with the use of multi-criteria method, which in an objective way indicates the aspects, features, attributes, factors evaluated as key in building the entity's position on the market.peer-reviewe

Assessing the eco-efficiency of industrial parks recycling transformation: Evidence from data envelopment analysis (DEA) and fuzzy set qualitative comparative analysis (fsQCA)

Industrial parks are essential for promoting regional economic development, yet their linear growth model has become unsustainable. Hence, implementing the industrial park recycling transformation (IPRT) is necessary and urgent. However, the current literature on IPRT performance evaluation and improvement has not kept up with practical developments. This study aims to evaluate the eco-efficiency of IPRT and identify the variables and configurations that affect its enhancement. To achieve this, the authors employed super-efficiency data envelopment analysis and fuzzy set qualitative comparative analysis to analyze data collected from 21 IPRT demonstration pilot parks. Drawing on the Technology-Organization-Environment framework, this study identified three configurations with high eco-efficiency and two configurations with non-high eco-efficiency for IPRT. The findings indicate that eco-efficiency varies significantly among different parks and is the result of multiple factors and interactions, with environmental supervision playing a pivotal role. Additionally, the results suggest that the local economic development level and the technological capacity of parks are substitutable. Parks in regions with modest economies tend to focus on environment-technology-oriented transformations, while external factors drive IPRT of parks in areas with developed economies. These findings offer guidance for parks to adopt appropriate strategy profiles and provide policy options for governments

Multicriteria Decision Making in Sustainable Tourism and Low-Carbon Tourism Research: A Systematic Literature Review

Multicriteria Decision Making (MCDM) is increasingly being utilized as an analytical research tool for sectors that require decision-making with specific objectives and constraints, such as the tourism industry. Sustainable tourism, which examines the balance of numerous aspects, including stakeholders’ interests, is the critical feature propelling the increased usage of MCDM. This paper explores the use of Multicriteria Decision Making (MCDM) methods applied in studies of sustainable tourism and its derivative term, low-carbon tourism, using a systematic literature review (SLR) search from the Scopus database. The analysis has identified 189 relevant studies published between 1987 to April 2022. After selection, screening, and synthesizing processes, we selected 135 pertinent studies, which were analysed in general descriptive data, citation impacts, geographical categorization, categorization of the methodologies’ objectives, and possible trajectories of similar research in the future. We find that highly cited authors and articles are related to sustainable tourism indicators\u27 development and case studies. Furthermore, most relevant studies are concentrated in Asia and Europe rather than other regions. We also categorize the reviewed studies into six classifications depending on each method\u27s intended usage and further suggest four contexts for the studies’ future trajectory