Nian Zhang, Shuo Zheng, Lingyuan Tian and Guiwu Wei
In the supply chain disruption risk, the issue of supplier evaluation and selection is solved by an extended VIKOR method based on regret theory.
Abstract
Purpose
In the supply chain disruption risk, the issue of supplier evaluation and selection is solved by an extended VIKOR method based on regret theory.
Design/methodology/approach
Considering the influence of irrational emotions of decision makers, an evaluation model is designed by the regret theory and VIKOR method, which makes the decision-making process closer to reality.
Findings
The paper has some innovations in the evaluation index system and evaluation model construction. The method has good stability under the risk of supply chain interruption.
Originality/value
The mixed evaluation information is used to describe the attributes, and the evaluation index system is constructed by the combined method of the social network analysis method and the literature research method to ensure the accuracy and accuracy of the extracted attributes. The issue of supplier evaluation and selection is solved by an extended VIKOR method based on regret theory.
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Road transport is an important sector of the economy, however, its negative impacts on the environment, human health and sustainability of potential economic growth are…
Abstract
Road transport is an important sector of the economy, however, its negative impacts on the environment, human health and sustainability of potential economic growth are significant. Transport externalities tend to be neglected within the market process. The damage generated through significant externalities of road transport in Czechia was identified, based on unique data processing, to reach almost 3.5 billion € annually. This chapter presents an overview of internalization taxes and fees, their current rates and generated receipts. If excise duty is disregarded as fundamentally unsuitable for the internalization of externalities, then the receipts from other applied taxes and fees, particularly the road tax, seem to be insufficient. Although economic growth is encouraged, its form is not sustainable in view of the rising phase of the Kuznets curve and the related irreversible environmental impacts.
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Long Nguyen Phi, Dung Hoang Phuong and Thong Vu Huy
This paper seeks to revisit the interrelationship among tourists’ perceived value of the destination, tourist satisfaction and destination loyalty in the heritage tourism site of…
Abstract
Purpose
This paper seeks to revisit the interrelationship among tourists’ perceived value of the destination, tourist satisfaction and destination loyalty in the heritage tourism site of Hoi An. In addition, the moderating role of tourists’ perceived crowding, which has become remarkably common at the site, in such a triangle relationship will also be explored. In other words, this study aims to validate an extended model of perceived value – tourist satisfaction – destination loyalty – perceived crowding.
Design/methodology/approach
The study collects data from 403 tourists who visited Hoi An during peak season through an online questionnaire. The data were later analysed using AMOS and Warp partial least squares.
Findings
The results validate the significant and positive correlation among perceived value, customer satisfaction and destination loyalty. Also, perceived crowding was confirmed to affect the relationship among these three variables negatively. In terms of academic contributions, this paper empirically proved that low levels of tourist satisfaction and destination loyalty among tourists who highly value their visiting experience at World Heritage Sites (WHS) can be caused by perceived crowding.
Originality/value
So far, current literature has investigated the direct (either positive or negative) relationship between perceived crowding and post-visit behaviours of tourists (Nie et al., 2022; Papadopoulou, Ribeiro, & Prayag, 2023; Stemmer, Gjerald, & Øgaard, 2022). Broadening this area of research, the authors of this paper used the social interference theory and the stimulus-overload theory to explain the low level of tourist satisfaction and destination loyalty among tourists who highly value their visiting experience at WHS.
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Fangxuan (Sam) Li, Yuanyuan Shang and Qianqian Su
The purpose of this study is to propose and test a model that is composed of immersion, perceived attractiveness, happiness, satisfaction and behavioral intention in light of the…
Abstract
Purpose
The purpose of this study is to propose and test a model that is composed of immersion, perceived attractiveness, happiness, satisfaction and behavioral intention in light of the extended cognitive-affective-conative model.
Design/methodology/approach
To test the suggested research model, 271 genuine on-site questionnaires were gathered.
Findings
Immersion was found to positively affect perceived attractiveness and happiness. It is also suggested that perceived attractiveness and happiness mediate the association between immersion and tourist satisfaction.
Research limitations/implications
This study also has advantageous marketing and management implications for destination managers and marketers to improve tourist satisfaction.
Originality/value
As per the authors’ knowledge, this is the very first study that inspects the mechanism by which how immersion influences tourist satisfaction.
目的
利用拓展的认知-情感-意动理论, 本研究旨在提出和测试一个将沉浸感、感知吸引力、幸福感和行为意图联系起来的模型。
设计/方法
本研究收集线下有效样本271份。
发现
本研究发现沉浸对感知吸引力和幸福感有正向影响。本研究还提出感知吸引力和幸福感在沉浸感和游客满意度之间的关系中起中介作用。
研究意义
本研究还为目的地营销人员提供有用的营销和管理启示, 以提高游客满意度。
创意/价值
这是探索沉浸感如何影响游客满意度的机制的研究首批研究之一。
Propósito
Este estudio tiene como objetivo proponer y probar un modelo que vincula la inmersión, el atractivo percibido, la felicidad, la satisfacción y la intención de comportamiento basado en el modelo cognitivo-afectivo-conativo (CAC) extendido.
Diseño/metodología/enfoque
Se recogieron un total de 271 cuestionarios in situ válidos para probar el modelo de investigación propuesto.
Hallazgos
Se encontró que la inmersión afecta positivamente el atractivo y la felicidad percibidos. También se propone que el atractivo percibido y la felicidad median la relación entre la inmersión y la satisfacción del turista.
Limitaciones/implicaciones de la investigación
Este estudio también proporciona implicaciones útiles de marketing y gestión para que los comercializadores de destinos mejoren la satisfacción del turista.
Originalidad/valor
Este es el primer estudio que explora el mecanismo detrás de cómo la inmersión influye en la satisfacción del turista.
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Introduction: The insurance sector is playing a crucial role in the sustainable growth of the Indian economy. But in India, this sector loses crores of rupees every year due to…
Abstract
Introduction: The insurance sector is playing a crucial role in the sustainable growth of the Indian economy. But in India, this sector loses crores of rupees every year due to the increasing fraud cases. With the increase in insurance customers, insurance companies need to efficiently equip themselves with a robust system to handle claims fraud. Detection of insurance fraud is a pretty challenging problem. Nowadays, machine learning (ML) and artificial intelligence (AI) are the strategic choices of many leading organisations that want to proceed in a new digital arena.
Purpose: This chapter’s main objective is to highlight the fundamental market forces driving the adoption of AI and ML and showcase the traditional and modern methods to predict insurance claims fraud intelligently.
Methodology: Various research papers have been reviewed, and ML methods have been discussed, which are all being used to predict insurance fraud claims. This chapter also highlights various driving forces influencing the adoption of ML.
Findings: This study highlights the introduction of blockchain technology in fraud detection and in combatting insurance fraud. Literature indicates that the quantity and quality of data significantly impact predictive accuracy. ML models are beneficial to identify the majority of fraudulent cases with reasonable precision. Insurance companies should explore the benefits of experienced resource persons from the same domain and develop unique business ideas/rules.
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Christin Dameria, Haryo Winarso, Petrus Natalivan Indradjati and Dewi Sawitri Tjokropandojo
The purpose of the study is to confirm the influence of each dimension of visitor's sense of place (place identity, place attachment and place dependence) on each dimension of…
Abstract
Purpose
The purpose of the study is to confirm the influence of each dimension of visitor's sense of place (place identity, place attachment and place dependence) on each dimension of conservation behavioral intention (general behavioral intention and specific behavioral intention) in the context of urban heritage.
Design/methodology/approach
This study uses a quantitative methods. Research respondent is individual visitor who meet the research criteria. The strength influence of sense of place dimension (independent variable) on dimension of conservation behavioral intention (dependent variable) was measured by Somers' D correlation. Primary data were analyzed using descriptive statistical techniques.
Findings
All correlation coefficient values were below +0.59. It shows that the sense of place dimensions have a weak influence on each dimension of conservation behavioral intention. Weak correlation occurs because of the setting profile (tourism approaches which tends to be material-based) and the type of visitor (casual cultural tourism and sightseeing tourist) which interprets heritage only as an object of relaxation.
Research limitations/implications
Due to the statistical approach used (nonparametric statistical techniques), the results of the study cannot be generalized. Therefore, further studies with different approaches are needed.
Social implications
This study demonstrates the need for tourism policy in Semarang Old Town (SOT) as a form of value-driven heritage conservation practice to encourage visitors to appreciate the cultural significance of the area.
Originality/value
In the context of urban heritage area, the literature on research topics is still limited. However, the results of this study were different from previous studies. The weak relationship is explained through an approach that considers contextual factors, namely profile settings and visitor profiles.
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Chaya Hurnath and Kiran Dookhony-Ramphul
In the wake of the COVID-19 health crisis, destinations are facing the challenging task of reopening their borders while keeping resident population safe. Destination communities…
Abstract
In the wake of the COVID-19 health crisis, destinations are facing the challenging task of reopening their borders while keeping resident population safe. Destination communities help to flatten the infection curve while tourists contribute to spread the virus. This chapter explores the impacts of a health crisis on stakeholders' emotional solidarity and support for tourism. Twenty-six semi-structured interviews were conducted with different stakeholders. Findings show that informants who perceive socioeconomic tourism benefits are likely to support it in exchange for appropriate health measures. Others affected sociopsychologically by the pandemic feel negative emotional solidarity toward foreign tourists. Thus, delineating the role of a health crisis becomes a crucial research question that can contribute to academic understanding of support for tourism. As uncertainty over border reopening currently affects 24% countries worldwide, these findings can be relevant to policymakers.
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Su Zhang and Yin-Hsi Lo
Kaiping Diaolou in Guangdong Province, China, is a UNESCO World Heritage site that is often used as a film location. This study aims to investigate the antecedents of film-induced…
Abstract
Purpose
Kaiping Diaolou in Guangdong Province, China, is a UNESCO World Heritage site that is often used as a film location. This study aims to investigate the antecedents of film-induced heritage conservation behaviour in tourists visiting Kaiping Diaolou. The conceptual premises of stimulus-organism-response theory were used to provide additional insight into the impact of film- and heritage-induced images, and tourists’ perceived authenticity, destination attachment and heritage conservation intention.
Design/methodology/approach
The authors tested the hypotheses using covariance-based structural equation modelling by using the data collected from the 391 valid questionnaires.
Findings
The empirical results reveal that both film- and heritage-induced images have a direct impact on tourists’ heritage conservation intention. Furthermore, perceived authenticity and destination attachment fully mediate the relationship between destination image and conservation intention, while the serial multiple mediator effect in the heritage destination image model is not significant.
Originality/value
The findings contribute to the understanding of tourists’ heritage conservation intention through the lens of destination image, perceived authenticity and destination attachment. The study’s findings enrich the literature on film and heritage tourism regarding destination image construction and heritage conservation and have implications for the sustainable development of heritage tourism and heritage conservation, as well as the marketing of heritage sites.
研究目标
位于中国广东省的开平碉楼是联合国教科文组织认证的世界文化遗产, 并经常被用作电影拍摄地。本研究调查了影响开平碉楼影视旅游游客的遗产保护行为的前因。本研究采用刺激-有机体-反应 (SOR) 理论的概念, 探究电影和遗产所诱发的目的地形象、游客的感知真实性和目的地依恋, 对游客遗产保护意图的影响。
研究设计和研究方法
本研究共回收 391 份有效问卷, 并使用基于协方差的结构方程模型来检验研究假设。
发现
实证结果表明, 电影和遗产诱导的目的地形象都直接影响游客的遗产保护意愿。此外, 游客的感知真实性和目的地依恋完全中介了目的地形象与保护意愿之间的关系。但是在遗产目的地形象的模型中, 感知真实性和目的地依恋的串行多重中介效应不显着。
独创性
研究结果有助于通过目的地形象、感知真实性和目的地依恋来理解游客的遗产保护意图。本研究丰富了关于目的地形象建设和遗产保护的文献, 并对遗产旅游和遗产保护的可持续发展以及遗产地的营销产生了积极影响。
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Nazife Özge Beşer, Asiye Tütüncü, Murat Beşer and Cosimo Magazzino
This paper aims to investigate the influence of air and rail transportation on pollution in Turkey from 1970 to 2020.
Abstract
Purpose
This paper aims to investigate the influence of air and rail transportation on pollution in Turkey from 1970 to 2020.
Design/methodology/approach
Fourier Autoregressive Distributive Lags (ADL) and Fourier Fractional ADL cointegration tests (Banerjee et al., 2017; Ilkay et al., 2021) are employed to analyze the relationship be-tween the variables. Cointegration tests that take into account soft transitions under structural changes are implemented. Structural change issues are crucial for this topic since the changes in countries’ environmental policies and transportation habits are shaped by the decisions taken in relation to environmental regulations. Finally, for robustness purposes, we tested the estimated equation with a completely different methodology. Thus, a Machine Learning (ML) analysis is conducted, through a Ridge Regression (RR).
Findings
The findings obtained by applying Fourier Autoregressive Distributive Lags (FADL) and Fourier Fractional ADL cointegration tests, which can control for structural changes, reveal the existence of a long-term relationship between the variables. In addition, FMOLS estimates emphasize that economic growth and air transport can lead to increased pollution in the long run, while rail transport reduces it. Moreover, the statistically significant trigonometric terms indicate the existence of a smooth structural change among the variables. Robustness checks are performed through a Machine Learning (ML) analysis, which roughly confirms the previous results.
Originality/value
To our knowledge, existing research in Turkey focuses mainly on road transport, while the impact of rail and air transport on pollution has not yet been investigated. As such, this study will be a significant addition to the academic literature.
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Tahir Albayrak, Özlem Güzel, Meltem Caber, Özge Kılıçarslan, Aslıhan Dursun Cengizci and Aylin Güven
The purpose of this study is to investigate the direct impact of shopping experience of tourists on their satisfaction with shopping, while perceived crowding is used as a…
Abstract
Purpose
The purpose of this study is to investigate the direct impact of shopping experience of tourists on their satisfaction with shopping, while perceived crowding is used as a moderator in this relationship.
Design/methodology/approach
The proposed conceptual model was tested by an empirical study where the data were collected from 411 German tourists, visiting Kaleiçi, Antalya-Turkey.
Findings
The study results revealed that tourist shopping experience (consisting of education, esthetic, entertainment and escapism dimensions) significantly determines satisfaction with shopping. Moreover, crowding perception has a two-dimensional structure, as human and spatial crowding. Human crowding, which reflects high human density, is found to negatively moderate the effect of shopping experience on satisfaction, where spatial crowding, which is related to high space density, does not influence this relationship.
Originality/value
This study exceptionally shows that crowding perceptions of German tourists in shopping are affected by both human and spatial crowding. In addition, the moderating role of perceived crowding is clarified in the relationship between shopping experience and satisfaction.