406 research outputs found

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

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    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

    Fuzzy-AHP approach using Normalized Decision Matrix on Tourism Trend Ranking based-on Social Media

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    This research discusses multi-criteria decision making (MCDM) using Fuzzy-AHP methods of tourism. The fuzzy-AHP process will rank tourism trends based on data from social media. Social media is one of the channels with the largest source of data input in determining tourism development. The development uses social media interactions based on the facilities visited, including reviews, stories, likes, forums, blogs, and feedback. This experiment aims to prioritize facilities that are the trend of tourism. The priority ranking uses weight criteria and the ranking process.  The highest rank is in the attractions of the Park/Picnic Area, with the final weight calculation value of 0.6361. Fuzzy-AHP can rank optimally with an MSE value of ≈0.0002

    Research Agenda on Multiple-Criteria Decision-Making: New Academic Debates in Business and Management

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    [EN] Systemic disruptions are becoming more continuous, intense, and persistent. Their effects have a severe impact on the economy in volatile, uncertain, complex, and ambiguous (VUCA) environments that are increasingly transversal to productive sectors and activities. Researchers have intensified their academic production of multiple-criteria decision-making (MCDM) in recent years. This article analyzes the research agenda through a systematic review of scientific articles in the Web of Science Core Collection according to the Journal Citation Report (JCR), both in the Social Sciences Citation Index (SSCI) and in the Science Citation Index Expanded (SCIE). According to the selected search criteria, 909 articles on MCDM published between 1979 and 2022 in Web of Science journals in the business and management categories were located. A bibliometric analysis of the main thematic clusters, the international collaboration networks, and the bibliographic coupling of articles was carried out. In addition, the analysis period is divided into two subperiods (1979¿2008 and 2009¿2022), establishing 2008 as the threshold, the year of the Global Financial Crisis (GFC), to assess the evolution of the research agenda at the beginning of systemic disruptions. The bibliometric analysis allows the identification of the motor, basic, specialized, and emerging themes of each subperiod. The results show the similarities and differences between the academic debate before and after the GFC. The evidence found allows academics to be guided in their high-impact research in business and management using MCDM methodologies to address contemporary challenges. An important contribution of this study is to detect gaps in the literature, highlighting unclosed gaps and emerging trends in the field of study for journal editors.Castello-Sirvent, F.; Meneses-Eraso, C. (2022). Research Agenda on Multiple-Criteria Decision-Making: New Academic Debates in Business and Management. Axioms. 11(10):1-37. https://doi.org/10.3390/axioms11100515137111

    Analisis Dan Perancangan Aplikasi Case Based Reasoning Untuk Menentukan Tujuan Wisata

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    Yogyakarta adalah tujuan wisata kedua setelah Bali dan merupakan surga wisata di pulau Jawa. Setiap tahunnya wisatawan yang berkunjung di Yogyakarta meningkat 7%-15%. Khususnya dimasa libur panjang ada banyak wisatawan yang berkunjung. Informasi tentang tujuan wisata dapat diperoleh melalui browsur atau katalog wisata, dari internet maupun cerita teman. Namun informasi saja tidaklah cukup jika tidak diramu dengan cepat untuk mendapat alternatif terbaik dalam menentukan tujuan wisata. Atas dasar kebutuhan tersebut maka dibuatlah perancangan aplikasi Case Based Reasoning untuk menentukan tujuan wisata pribadi di Yogyakarta berbasis mobile web. Case Based Reasoning akan membantu menentukan tujuan wisata berdasarkan pengalaman sebelumnya atau kasus yang lama. Hasil penelitian ini berupa perancangan aplikasi Case Based Reasoning untuk menentukan tujuan wisata pribadi di Yogyakarta. Perancangan arsitektur dan desain disesuaikan dengan hasil kuisioner, sekitar 92% peserta kuisioner menggunakan smartphone atau handphone tipe high end

    Fuzzy TOPSIS method for a tourism destination

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    In this study, we intended to create a methodology in order to have a Multi Criteria approach for choosing a tourist destination region or place as Multi Criteria Decision Making (MCDM) is widely used to outrank, choose or cluster the alternatives with respect to multiple criteria and, in general, refers to making decisions among multi alternatives in the presence of multiple, usually conflicting criteria. Conflicting criteria often makes the problem difficult to decide and select the best alternative among the possible choices. To do this, we propose a Fuzzy TOPSIS Method to choose a Tourism destination in Portugal.info:eu-repo/semantics/publishedVersio

    Drivers of Regional Destination Competitiveness: A DEMATEL – Fuzzy TOPSIS Approach

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    This paper aims to explore a conceptual criteria framework for measuring tourism destination competitiveness at the regional level to fill the existing gap in literature. This study was conducted in the East Nusa Tenggara (NTT) Province of Indonesia, by developing a tailored set of criteria for measuring destination competitiveness specific for the regional backdrop through rigorous literature review and in-depth interviews with tourism experts. Moreover, a hybrid MCDM approach combining DEMATEL and Fuzzy TOPSIS techniques was employed to analyze interrelationships and importance rankings of the developed measurement criteria. This research developed a six-factor and twenty-three indicator framework deemed relevant for assessing destination competitiveness at the regional level. The six factors comprise of destination attraction, general infrastructure, superstructure, destination management, price competitiveness, and regional government policy. The DEMATEL analysis revealed regional government policy to be the most influential factor, whilst destination attraction was rendered the most important one. Results from the Fuzzy TOPSIS present the most important indicators from the framework as a natural attraction, accessibility and port infrastructure, accommodation, the image of the destination, and priority towards the tourism sector.  Findings from this research provide valuable insights in terms of proposing tourism policymakers with a blueprint of regional destination competitiveness criteria that offers critical inputs for developing medium and long-term tourism strategies

    A review of Smart Contract Blockchain Based on Multi-Criteria Analysis: Challenges and Motivations

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    A smart contract is a digital program of transaction protocol (rules of contract) based on the consensus architecture of blockchain. Smart contracts with Blockchain are modern technologies that have gained enormous attention in scientific and practical applications. A smart contract is the central aspect of a blockchain that facilitates blockchain as a platform outside the cryptocurrency spectrum. The development of blockchain technology, with a focus on smart contracts, has advanced significantly in recent years. However research on the smart contract idea has weaknesses in the implementation sectors based on a decentralized network that shares an identical state. This paper extensively reviews smart contracts based on multi criteria analysis challenges and motivations. Therefore, implementing blockchain in multi-criteria research is required to increase the efficiency of interaction between users via supporting information exchange with high trust. Implementing blockchain in the multi-criteria analysis is necessary to increase the efficiency of interaction between users via supporting information exchange and with high confidence, detecting malfunctioning, helping users with performance issues, reaching a consensus, deploying distributed solutions and allocating plans, tasks and joint missions. The smart contract with decision-making performance, planning and execution improves the implementation based on efficiency, sustainability and management. Furthermore the uncertainty and supply chain performance lead to improved users confidence in offering new solutions in exchange for problems in smart contacts. Evaluation includes code analysis and performance while development performance can be under development.Comment: Revie

    ANALISIS DAN PERANCANGAN APLIKASI CASE BASED REASONING UNTUK MENENTUKAN TUJUAN WISATA

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    Yogyakarta adalah tujuan wisata kedua setelah Bali dan merupakan surga wisata di pulau Jawa. Setiap tahunnya wisatawan yang berkunjung di Yogyakarta meningkat 7%-15%. Khususnya dimasa libur panjang ada banyak wisatawan yang berkunjung. Informasi tentang tujuan wisata dapat diperoleh melalui browsur atau katalog wisata, dari internet maupun cerita teman. Namun informasi saja tidaklah cukup jika tidak diramu dengan cepat untuk mendapat alternatif terbaik dalam menentukan tujuan wisata. Atas dasar kebutuhan tersebut maka dibuatlah perancangan aplikasi Case Based Reasoning untuk menentukan tujuan wisata pribadi di Yogyakarta berbasis mobile web. Case Based Reasoning akan membantu menentukan tujuan wisata berdasarkan pengalaman sebelumnya atau kasus yang lama. Hasil penelitian ini berupa perancangan aplikasi Case Based Reasoning untuk menentukan tujuan wisata pribadi di Yogyakarta. Perancangan arsitektur dan desain disesuaikan dengan hasil kuisioner, sekitar 92% peserta kuisioner menggunakan smartphone atau handphone tipe high end

    ANALISIS DAN PERANCANGAN APLIKASI CASE BASED REASONING UNTUK MENENTUKAN TUJUAN WISATA

    Get PDF
    Yogyakarta adalah tujuan wisata kedua setelah Bali dan merupakan surga wisata di pulau Jawa. Setiap tahunnya wisatawan yang berkunjung di Yogyakarta meningkat 7%-15%. Khususnya dimasa libur panjang ada banyak wisatawan yang berkunjung. Informasi tentang tujuan wisata dapat diperoleh melalui browsur atau katalog wisata, dari internet maupun cerita teman. Namun informasi saja tidaklah cukup jika tidak diramu dengan cepat untuk mendapat alternatif terbaik dalam menentukan tujuan wisata. Atas dasar kebutuhan tersebut maka dibuatlah perancangan aplikasi Case Based Reasoning untuk menentukan tujuan wisata pribadi di Yogyakarta berbasis mobile web. Case Based Reasoning akan membantu menentukan tujuan wisata berdasarkan pengalaman sebelumnya atau kasus yang lama. Hasil penelitian ini berupa perancangan aplikasi Case Based Reasoning untuk menentukan tujuan wisata pribadi di Yogyakarta. Perancangan arsitektur dan desain disesuaikan dengan hasil kuisioner, sekitar 92% peserta kuisioner menggunakan smartphone atau handphone tipe high end
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