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نتیجه جستجو - Tourism management

تعداد مقالات یافته شده: 68
ردیف عنوان نوع
1 Using social media photos and computer vision to assess cultural ecosystem services and landscape features in urban parks
استفاده از عکس های رسانه های اجتماعی و بینایی کامپیوتری برای ارزیابی خدمات اکوسیستم فرهنگی و ویژگی های چشم انداز در پارک های شهری-2022
Urban parks are important public places that provide an opportunity for city dwellers to interact with nature. In recent years, social media data have become a promising data source for the assessment of cultural ecosystem services (CES) and landscape features in urban parks. However, it is a challenging task to identify and classify the CES and landscape features from social media photos by manual content analysis. In addition, relatively few studies focused on the differences in landscape preferences between tourists and locals in urban parks. In this study, we used geotagged social media photos from Flickr and computer vision methods (scene recognition, image clustering and image labeling) based on the convolutional neural networks (CNN) and the Google Cloud Vision platform to assess the spatial preferences and landscape preferences (cultural ecosystem services and landscape features) of tourists and locals in the urban parks of Brussels. The spatial analysis results showed that the tourists’ photos were spatially concentrated on well-known parks located in the city center while the locals’ photos were rather spatially dispersed across all parks of the city. We identified 10 main landscape themes (corresponding to 4 CES categories and 10 landscape feature categories) from 20 image clusters by automated image analysis on social media photos. We also noticed that tourists paid more attention to the place identity featured by symbolic sculptures and buildings, while locals showed more interest in local species of plants, flowers, insects, birds, and animals. This research contributes to social media-based user preferences analysis and CES assessment, which could provide insights for urban park planning and tourism management.
keywords: داده های رسانه های اجتماعی | خدمات اکوسیستم فرهنگی | ویژگی های چشم انداز | پارک های شهری | بینایی کامپیوتر | Social media data | Cultural ecosystem services | Landscape features | Urban parks | Computer vision
مقاله انگلیسی
2 Supply chain design to tackle coronavirus pandemic crisis by tourism management
طراحی زنجیره تامین برای مقابله با بحران همه گیری ویروس کرونا توسط مدیریت گردشگری-2021
The rapid growth of the COVID-19 pandemic in the world and the importance of controlling it in all regions have made managing this crisis a great challenge for all countries. In addition to imposing various monetary costs on countries, this pandemic has left many serious damages and casualties. Proper control of this crisis will provide better medical services. Controlling travel and tourists in this crisis is also an effective factor. Hence, the proposed model wants to control the crisis by controlling the volume of incoming tourists to each city and region by closing the entry points of that region, which reduces the inpatients. The proposed multi-objective model is designed to aim at minimizing total costs, minimizing the tourist patients, and maximizing the number of city patients. The Improved Multi-choice Goal programming (IMCGP) method has been used to solve the multi-objective problem. The model examines the results by considering a case study. Sensitivity analyses and managerial insight are also provided. According to the results obtained from the model and case study, two medical centers with the capacity of 300 and 700 should be opened if the entry points are not closed.© 2021 Elsevier B.V. All rights reserved.
Keywords: Pandemic control | COVID-19 | Multi-objective supply chain optimization | IMCGP | Tourism management
مقاله انگلیسی
3 Generic and Islamic attributes for non-Muslim majority destinations: application of the three-factor theory of customer satisfaction
ویژگی های عمومی و اسلامی برای مقاصد اکثریت غیر مسلمان: کاربرد نظریه سه عاملی برای رضایت مشتری-2020
To provide Muslim-friendly tourism and attract Muslim tourists, destination marketers must not only consider the generic attributes commonly available at the destination, they must also ensure the availability of attributes that serve the needs of Muslim tourists: Islamic attributes. This study identifies and classifies generic and Islamic attributes as basic, performance, and excitement factors in accordance with the three-factor theory of customer satisfaction to emphasise that the three factors may have different impacts on tourist satisfaction. This study also examines the influence of the three factors on satisfaction and the consequences of satisfaction on tourists behavioural and attitudinal loyalty. A survey was conducted with 604 Muslim tourists who visited non-Muslim destinations. The results showed that all generic attributes influenced Muslim tourists satisfaction, whereas for Islamic attributes, only the classification of excitement factors significantly affected their satisfaction. The con- sequences of satisfaction were also found to have a significant effect on increasing tourists’ behavioural and attitudinal loyalty.
Keywords: Generic attributes | Islamic attributes | Tourist satisfaction | Behavioural loyalty | Attitudinal loyalty | Three-factor theory of customer satisfaction | Muslim-friendly tourism | Social sciences | Tourism | Tourism management | Business | Management | Marketing
مقاله انگلیسی
4 Effects of mobile augmented reality apps on impulse buying behavior: An investigation in the tourism field
تأثیر برنامه های واقعیت افزوده تلفن همراه بر رفتار خرید ضربه: تحقیقی در زمینه گردشگری-2020
Many of todays online services are designed specifically to encourage impulse buying. Moreover, many studies have shown that with the assistance of Mobile Augmented Reality, retailers have the potential to significantly improve their sales. However, the effects of Mobile AR on consumer impulse buying behavior have yet to be examined, particularly in the tourism field. Consequently, the present study integrates the Technology Acceptance Model (TAM), Stimulus-Organism-Response (SOR) framework, and flow theory to examine the effects of Mobile AR apps on tourist impulse buying behavior. The research model is implemented using an online questionnaire, with the results analyzed by Partial-Least-Squares Structural Equation Modeling (PLS-SEM) approach. The results obtained from 479 valid samples show that the characteristics of Mobile AR apps play an important role in governing tourist behavior in making unplanned purchases. In particular, as the utility, ease-of-use, and inter- activity of the apps increase, the perceived enjoyment and satisfaction of the user also increase and give rise to a stronger impulse buying behavior. The results also reveal a mediating effect of the flow experience on the relationship between the perceived ease of use of the Mobile AR app and the user satisfaction in using the app. Overall, the findings presented in this study provide a useful source of reference for Mobile AR app developers, retailers, and tourism marketers in better understanding users preferences for Mobile AR apps and strengthening their impulse buying behavior in the tourism context as a result.
Keywords: Mobile augmented reality apps | Impulse buying | Tourism industry | Human-computer interactions | Human machine interaction | Mobile computing | Tourism management | Information systems management | Information technology | Technology adoption | Learning and memory | Tourism | Business
مقاله انگلیسی
5 Modeling domestic tourism: motivations, satisfaction and tourist behavioral intentions
مدل سازی گردشگری داخلی: انگیزه ها ، رضایت و اهداف رفتاری گردشگران-2020
Investigating the antecedents of tourist behavioral intentions and its relations with the preceding factors has become an interest of researchers very recently. However, domestic tourism is one of the neglected forms of tourism among academics and policymakers in developing countries in general. This study, therefore, has tried to simultaneously analyze (i) the relationships among motivations (push and pull), satisfaction and behavioral in- tentions (intention to revisit and willingness to recommend), and (ii) the direct and indirect effects of motivations on the behavioural intentions of domestic tourists in the formation of domestic tourism behavioural model. The relationships were structurally analyzed with Maximum Likelihood Estimation (MLE) method of Structural Equation Modeling (SEM) using data collected from 386 domestic tourists from four destination sites in Ethiopia. The results revealed that both pull and push travel motivations were found to be significant predictors of overall satisfaction. Moreover, the direct effects of pull travel motivation on revisit intention as well as willingness to recommend were observed. On the other hand, overall satisfaction influenced revisit intention more significantly than the willingness to recommend. Overall satisfaction also partially mediated the relationships between travel motivations and revisit intention. Furthermore, the direct and indirect effects of push travel motivation were assessed in this study. The results of this study hold important implications for destination managers and re- searchers to consider the influences of motivations factors on satisfaction and behavioral intentions in their attempt to develop domestic tourism.
Keywords: Domestic tourism | Motivation | Satisfaction | Tourist behavioural intention | Push | Pull | Intention to revisit | Willingness to recommend | Tourism | Tourism industry | Tourism management | Business management | Marketing | Consumer attitude
مقاله انگلیسی
6 The blockchain technology and the scope of its application in hospitality operations
فناوری بلاکچین و دامنه کاربرد آن در عملیات مهمان نوازی-2020
The recently emerged concept of the blockchain technology (BCT) can disrupt the traditional realm of tourism and hospitality operations. While some research has looked into the implications of BCT for tourism management and marketing, no studies have explicitly considered the scope of its application in the context of hospitality operations management. This is arguably a major omission as available evidence points at the foremost potential of BCT to affect the nature of hospitality business. This study partially plugs this knowledge gap and, byreviewing examples of existing applications of BCT in various economic sectors and across different consumption markets, evaluates its potential for future integration into hospitality operations management. The framework of prospective use of BCT in the hospitality industry alongside the related organisational, institutional and technological challenges that need to be overcome for its wider industrial adoption are outlined.
Keywords: Digital technology | Disruptive innovation | Blockchain | Operations management | Supply chain management
مقاله انگلیسی
7 In the absence of a main attraction : Perspectives from polar bear watching tourism participants
در غیاب یک جذابیت اصلی: دیدگاه های شرکت کنندگان گردشگری خرس قطبی-2020
Wildlife watching tourism has recently received more attention in the tourism literature. However, research is still needed on participants’ perceptions on the unpredictable nature of wild animals as main attractions. Information on this topic may help providers keep participants satisfied in the absence of wildlife and move away from exploitative practices sometimes used to guarantee close encounters. Using polar bear tourism as a case study, content analysis of TripAdvisor reviews from Churchill (Canada) and Svalbard (Norway) was used to examine participants’ comments on unpredictable wildlife and reactions when polar bears were not found. Findings indicate that to keep participants satisfied, wildlife watching tourism providers should focus on more controllable parts of the experience, such as high-quality guiding, expectations management, and secondary, more guaranteed side activities. They should also make the most of the natural surroundings, other wildlife in the area and signs of the focal species when encountered.
Keywords: Social media content analysis | Wildlife tourism | Tour guides’ role | Wildlife unpredictability | Tourist perceptions | TripAdvisor | Tourism management
مقاله انگلیسی
8 Big data in tourism research: A literature review
داده های بزرگ در پژوهش گردشگری: مروری بر مقالات-2018
Even at an early stage, diverse big data have been applied to tourism research and made an amazing improvement. This paper might be the first attempt to present a comprehensive literature review on different types of big data in tourism research. By data sources, the tourism-related big data fall into three primary categories: UGC data (generated by users), including online textual data and online photo data; device data (by devices), including GPS data, mobile roaming data, Bluetooth data, etc.; transaction data (by operations), including web search data, webpage visiting data, online booking data, etc. Carrying different information, different data types address different tourism issues. For each type, a systematical analysis is conducted from the perspectives of research focuses, data characteristics, analytic techniques, major challenges and further directions. This survey facilitates a thorough understanding of this sunrise research and offers valuable insights into its future prospects.
Keywords: Tourism research ، Big data ، Literature review ، Tourism management ، Tourist behavior
مقاله انگلیسی
9 Managing bite risk for divers in the context of shark feeding ecotourism: A case study from French Polynesia (Eastern Pacific)
مدیریت کردن خطر نیش زدگی برای غواصان در زمینه گردشگری بومی کوسه ماهی: یک مطالعه موردی از پولینسیای فرانسه (آرام شرقی)-2018
Shark-based ecotourism has been recently expanding around the world. Provisioning sharks, however, is not without risk and accidental bites on humans are regularly reported. Such events may jeopardise the shark ecotourism industry and local economies. Through a case study from French Polynesia, I investigated whether changes in feeding practices of lemon sharks between the early 1990s and 2013 are related to recent accidental bites of divers. Hand-feeding, ‘smelling’ and surface feeding facilitated the development of agonistic behaviour in sharks, which resulted in accidental bites. The level of interaction between sharks and humans appears to be the most important driver for analysing bite-risk. This paper presents the very first framework for risk-analysis and will allow managers to better manage the risk associated with current practices in shark-feeding around the world. The paper also provides technical guidelines for the design of adequate legal frameworks that will support any sustainable shark feeding operation.
keywords: Ecotourism management |Diving tourists safety |Provisioning and smelling |Agonistic behaviour |Sicklefin lemon shark |Negaprion acutidens
مقاله انگلیسی
10 Big data in tourism research: A literature review
داده های بزرگ در تحقیقات گردشگری: مروری بر منابع-2018
Even at an early stage, diverse big data have been applied to tourism research and made an amazing improvement. This paper might be the first attempt to present a comprehensive literature review on different types of big data in tourism research. By data sources, the tourism-related big data fall into three primary categories: UGC data (generated by users), including online textual data and online photo data; device data (by devices), including GPS data, mobile roaming data, Bluetooth data, etc.; transaction data (by operations), including web search data, webpage visiting data, online booking data, etc. Carrying different information, different data types address different tourism issues. For each type, a systematical analysis is conducted from the perspectives of research focuses, data characteristics, analytic techniques, major challenges and further directions. This survey facilitates a thorough understanding of this sunrise research and offers valuable insights into its future prospects.
keywords: Tourism research |Big data |Literature review |Tourism management |Tourist behavior
مقاله انگلیسی
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