Sustainable development of tourism
fateme Yari Ghaleh; Nader Naderi; Bijan Rezaee
Abstract
The current research was conducted to identify the drivers of creative tourism development with an emphasis on the role of urban branding in Kermanshah province.The dominant approach of the research was mixed(qualitative-quantitative)in which theme analysis and survey methods were used in the qualitative ...
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The current research was conducted to identify the drivers of creative tourism development with an emphasis on the role of urban branding in Kermanshah province.The dominant approach of the research was mixed(qualitative-quantitative)in which theme analysis and survey methods were used in the qualitative and quantitative parts,respectively.The population studied in the qualitative section comprised of managers and experts of cultural heritage and tourism,municipalities and urban affairs,marketing/tourism activists,university faculty members,and entrepreneurs in Kermanshah province.The purposeful sampling and snowball methods were used by which 22 interviews were conducted with the participants,and theoretical saturation was achieved.In the quantitative part of the research,the statistical population included all the managers active in the field of tourism businesses of Kermanshah province.There were 284 people,of which163 were selected as the samples by using the table of Morgan.Three procedures of open coding,secondary coding, and categories were used in inductive content analysis leading to the identification of153primary codes,17conceptual codes,and5factors.
tourism management
Salimeh sadat Khosravi; Nader Naderi
Abstract
In the era of digital transformation, Big Data have assumed a crucial role in changing the global travel and providing significant challenges and opportunities for established companies, as well as new entrants into the tourism industry. this study sought to fill the knowledge gap of linkage the relationships ...
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In the era of digital transformation, Big Data have assumed a crucial role in changing the global travel and providing significant challenges and opportunities for established companies, as well as new entrants into the tourism industry. this study sought to fill the knowledge gap of linkage the relationships between big data and marketing strategy with comprehensive viewpoints across different research fields in tourism and hospitality literatures. This study aims to identify and present a comprehensive model of data driven marketing in smart tourism. This study is conducted by Meta-synthesis approach. After performing CASP analysis, eventually,47 papers are investigated. we identified and prioritized the consequences, challenges, prerequisites and Dimensions of data driven marketing in smart tourism. After investigating the articles, we identified and prioritized the consequences of BD in 7 major Category including: 1-process 2-people 3-product 4-physical evidence 5-promotion 6-place 7-price. This research has contributed to the expansion of the research literature`s knowledge body and can provide researchers and marketing managers with a through understanding of tourism and hospitality in the field of data-driven marketing.Introduction The epistemology of the literature on big data in hospitality and tourism operations provides enormous opportunities and has dynamically revolutionized this discipline, attracting attention from academics. In view of emergency events, such as the current COVID-19 pandemic, tourism and hospitality scholars across different disciplines have highlighted the role of big data trends in improving the quality of marketing strategies. For example, Iorio et al. (2020) asserted that big data can be a useful source of information that can not only interpret unstructured data through the knowledge discovery process but also predict tourists’ behaviour when facing requirements that are changeable.Gallego and Font (2020) asserted that managers might use big data to detect the reactivation of visitors to develop targeted marketing strategies and diminish the effects of the COVID-19 pandemic. Therefore, big data analysis provides a better understanding of the social change in present and future issues and value creation by comparing cross-sectional data in diverse areas.Materials and MethodsThis research used the meta-synthesis method to synthesize previous qualitative studies. In this study, the seven-step meta synthesis method established by Sandelowski and Barroso was used, and thematic analysis was used to analyze the sample texts in the meta-synthesis method. Discussion and Resultswe identified and prioritized the consequences of BD in 7 major Category including: 1-process 2-people 3-product 4-physical evidence 5-promotion 6-place 7-price. And Challenges of BD in 4 Category including: 1- Ethical and privacy issues 2- Management and financial issues 3- Technological, human and organizational challenges 4- Data reliability and data accessConclusionsOn the demand side, there has been a massive transformation in consumer behaviour. Consumers have become more experienced, independent and irrational due to changes in their values, lifestyles and demographic patterns. This has forced the supply side to shift from mass marketing to personalized marketing through the rules of market segmentation. The production process has also become more consumer centric. Furthermore, as a sign of a new era in ICTs, concepts such as big data, IoT and AI have recently gained significant importance in many sectors because the developments in ICTs have accelerated worldwide. Tourism is one of the important fields that use these concepts and will also be influenced to a great extent. Such changes will occur in the “P”s of tourism and hospitality marketing on the supply side and consumer behaviour on the demand side. As for the retransformation of tourism and hospitality marketing, new forms of “P”s can be explained as below: First, tourism products and services will be redesigned with the help of ICTs.Products and services will become more destination-oriented and smart destinations will be the core of tourism products and services. Second, the ability to use information technology and develop more technology-oriented products and services will be an indicator of pricing and value. Third, the place where all purchasing and transactions to be handled will become much more virtual. Finally, the promotion will also be more virtual-centric, where consumer decision-making can be influenced by the experience of other consumer peers and more personalized communication channels will be part of online or virtual marketing.
