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The purpose of this study was to uncover representative emergent areas and to examine the research area of marketing, tourism and big data (BD) to assess how these thematic areas have developed over a 27-year time period from 1996 to 2022. This study analyzed 1,152 studies to identify the principal thematic areas and emergent topics, principal theories used, predominant forms of analysis and the most productive authors in terms of research.

The articles for this research were all selected from the Web of Science database. A systematic and quantitative literature review was performed. This study used SciMAT software to extract indicators. Specifically, this study analyzed productivity and produced a science map.

The findings suggest that interest in this area has increased gradually. The outputs also reveal the innovative effort of industry in new technologies for developing models for tourism marketing. Ten research areas were identified: “destination marketing,” “mobility patterns,” “co-creation,” “gastronomy,” “sustainability,” “tourist behavior,” “market segmentation,” “artificial neural networks,” “pricing” and “tourist satisfaction.”

This work is unique in proposing an agenda for future research into tourism marketing research with new technologies such as BD and artificial intelligence techniques. In addition, the results presented here fill the current gap in the research since while there have been literature reviews covering tourism with BD or marketing, these areas have not been studied as a whole.

El objetivo de esta investigación fue descubrir nichos representativos de áreas emergentes y examinar el área de Marketing, Turismo y Big Data, evaluando cómo han evolucionado estas áreas temáticas durante un período de 27 años desde 1996–2022. Analizamos 1.152 investigaciones para identificar las principales áreas temáticas y temas emergentes, las principales teorías utilizadas, las formas de análisis predominantes y los autores más productivos en términos de investigación.

Todos los artículos para esta investigación fueron seleccionados de la base de datos Web of Science. Realizamos una revisión sistemática y cuantitativa de la literatura. Utilizamos el software SciMAT para extraer indicadores. Específicamente, analizamos la productividad y elaboramos un mapeo científico.

Los hallazgos sugieren que el interés en esta área ha aumentado gradualmente. Los resultados también revelan el esfuerzo innovador de la industria en nuevas tecnologías para desarrollar modelos de marketing turístico. Se identificaron diez áreas de investigación (“marketing de destinos”, “patrones de movilidad”, “co-creación”, “gastronomía”, “sostenibilidad”, “comportamiento turístico”, “segmentación de mercado”, “redes neuronales artificiales”, “precios”, y “satisfacción del turista”).

Este trabajo es único al proponer una agenda para futuras investigaciones en investigación de Marketing Turístico con nuevas tecnologías como Big Data y técnicas de Inteligencia Artificial. Además, los resultados presentados aquí llenan el vacío actual en la investigación ya que si bien se han realizado revisiones de literatura que cubren Turismo con Big Data o Marketing, estas áreas no se han estudiado como un conjunto.

这一特定研究领域的目标是发现具有代表性的新兴领域, 并考察市场营销、旅游和大数据研究领域, 以评估这些主题领域在1996年至2022年的27年间是如何发展的。我们分析了1152项研究, 以确定主要专题领域和新兴主题、使用的主要理论、主要的分析形式以及在研究方面最有成效的作者。

本研究的文章都是从Web of Science数据库中选出的。我们进行了系统化的定量文献审查, 并使用SciMAT软件来提取指标。具体来说, 我们分析了生产力并制作了一个科学研究地图。

研究结果表明, 人们对这一领域的兴趣已经逐渐增加。本文也揭示了工业界在开发旅游营销模式的新技术方面的创新努力。研究确定了十个研究领域：“目的地营销”、“流动模式”、“共同创造”、“美食”、“可持续性”、“游客行为”、“市场细分”、“人工神经网络”、“定价 “和游客满意度”。

这项研究的独特之处在于提出了未来利用大数据和人工智能技术等新技术进行旅游营销研究的议程。此外, 本文的结果填补了目前的研究空白, 因为虽然有文献综述涉及旅游与大数据或市场营销, 但这些领域还没有被作为一个整体来研究。

This study aims to analyze communication from the perspective of social marketing, positive emotions, and the topics chosen by Spanish tourist destinations to show their destination image. Additionally, this research shows a message classification model, based on the aforementioned characteristics, that has generated a greater impact, offering clarity to tourism managers on the type of content they should publish to achieve greater visibility.

The methodology used in this work combines content analysis and data mining techniques. The classification tree using the chi-square automatic interaction detector (CHAID) algorithm was selected to determine predictors of like behaviour.

The results show that the predictor variables have been emotions, social marketing and topics. Also, the characteristics of the messages most likely to have a high impact are those related to emotions of joy or happiness, their purpose is behavioural, and they talk about rural, cultural issues, special dates, getaways, or highlights of a town or city for something specific.

This study is the first to analyze the content of the tweets shared by destination tourism managers from a social marketing, positive emotions, and sustainability perspective, determining the possible predictors of likes on Twitter. The authors contribute to the literature by deepening the understanding of how social marketing and the positive emotions promoted drive a more significant impact in tourism communication campaigns on social media. The authors provide destination managers with a way better to understand the variables relevant to users in tourism content.

The ongoing COVID-19 pandemic highlights the importance of destination marketing and media profiling to re-engage international tourists. However, potential crisis-induced nation brand (NB) deficits must be addressed to re-ignite tourism demand. The study examines the possible intervening effect of the contemporary NB in the international destination marketing and media-travel motives nexus.

A deductive quantitative study was undertaken with an online Amazon Mechanical Turk sample of n = 454 respondents. Hypotheses were tested using PROCESS Macro, Model 4.

The results show that the NB [people and negative events] had a practically significant partial mediating effect in the destination marketing – nature-cultural oriented travel motivation nexus.

New insights are provided via a practical model which facilitates the measurement of potential nuances in the influence of destination marketing and media profiling on leisure tourists' travel motives amid crises. The intervening effect implies that a better understanding of the NB as an indirect antecedent to travel motivation may result in more effective crisis communications and tourism recovery-oriented marketing.

The study is amongst the first to extend marketing and behavioural theory to explore the interplay between the marketing and media profile, a nation's brand and tourists' travel behaviour amid a crisis. The study addresses a discernible dearth of knowledge related to the influence of the NB on tourist behaviour from an emerging market perspective.

The purpose of this paper is to investigate specific marketing mix activities and influencing factors in hotels coping with falling room demand derived from drug cartel-related risk and insecurity.

A case study research was carried out using semistructured interviews with key informants (hotel managers) in two neighboring destinations at the US–Mexico border, an area where criminal organizations' drug trafficking-related violence has impacted the hospitality industry.

The research identifies factors that are internal (market segment diversification, type of ownership, magnitude of investments) and external (tourism promotion organizations, media coverage, tourist flow volume) to the firms as they affect their marketing mix implementation.

The research developed a framework to better understand the use of marketing mix practices and influencing factors in criminal insecurity contexts, which could be further studied in other risk and conflict scenarios.

The pricing and communication tactics are employed more intensively, while product-service and distribution channel actions are used to a lesser extent. Greater emphasis should be placed on product-service, distribution and market segment diversification.

Considering the positive impacts that tourism and hospitality businesses have on local communities, it is recommended that the hotel sector works together with government and industry associations to improve the safety and security at tourism destinations.

The research extends the extant knowledge in hospitality crisis management by investigating the full marketing mix tactics in hotels at destinations stricken by cartel-related organized crime, an understudied context in the literature.

The purpose of this paper is to explore digital marketing and tourism with a focus on opportunities with a case study of Africa, motivated by developments in tourism particularly the increase in tourist arrivals and the growth of digital statistics in the digital era.

Literature review as a research methodology was adopted in this study, and the integrative literature review was the method used as well as content analysis to review studies in digital marketing and tourism relating to Africa.

This paper reveals that digital media, content and mobile advertising are among the trends in digital marketing and, thus, affords Africa the opportunity to market its attractions to tourists in this digital era.

Future studies can explore quantitative and qualitative methods to understand the phenomenon of digital marketing in relation to tourism.

Other countries within Africa to adopt similar digital marketing such as digital media and creative content in order to manage the digitization of marketing activities in the tourism sector.

This study explores digital marketing and tourism with a focus on opportunities for Africa as a case study by specifically examining social media marketing in relation to tourist arrivals using integrative literature review and content analysis methods.

The purpose of the present paper was to explore the best practices of destination management in promoting tourist destinations through the Mozambique government website (INATUR) and identify strategies that enhance its visibility and online presence. This was only possible by (1) exploring if people are aware of the government website’s existence; (2) examining the existence of indicators of the engagement behaviors for the web-users (visitors) in their searching process on the government website; (3) exploring if the engagement behavior and website features have influence on the government website visitors’ satisfaction and (4) providing measures to enhance the popularity of the government website at INATUR.

The study combined a qualitative and quantitative methodological approach from the primary data collected via an online questionnaire survey of 269 random respondents, and the selected data was analyzed and processed using Stata 13 with the descriptive statistic and ANOVA [Analysis of Variance (an econometric model)] technique. The data was collected from secondary sources and from the interview, a strengths, weaknesses, opportunities, and threats (SWOT) analysis was applied with an interpretive approach.

The government website presents the minimum of relevant information to respond to the users’ needs and expectations. There is little knowledge regarding the existence of the government website for tourism destination marketing. Few respondents were surprised about this website’s existence. The optimistic side of responses came from those peple who used the website and it helped their expectation. The correlation analysis showed a significant positive relationship between the government website features and the visitors’ searching satisfaction; the interview outputs noted that the shortage of staff at INATUR with knowledge of digital marketing engagement plays a role in solving the problem of the visibility and online presence of the website.

One of the apparent limitations of this research was the world pandemic situation (Covid-19), which influenced to make abrupt arrangements in conducting the questionnaire survey and interview compared to the planned schedule. The interview was supposed to be a field research to have direct contact with her respondents and collect nonverbal information through the respondents’ body language, but unfortunately, it was not possible. Improvising was one of the solutions and had to design an online questionnaire survey for national and international tourist respondents and an emailed interview with INATUR director. Because of that, the results showed a very significant gap between African nationals and international respondents in number of 264 and 5, respectively (about in 98,14%) caused by the lockdown and traveling limitation.

The adoption of the contents in “Recommendations for policy and decision-making” can help in synergizing an integrative marketing communication strategy that enables all actors to maximize local economic benefits without spending many financial resources, and support sustainability, different tourist destination suppliers, authorities and local communities’ development. Ensuring effective and efficient communication, and above all, enhancing the provision of reliable information. Reinforce the importance of the practical teaching and learning of digital platforms in tourism schools and universities; offer a thematic tool to serve as an analytical basis in future studies, encouraging continuous scientific research on the subject under study.

Raising the awareness of the government website among tourist consumers; promoting Mozambique as a reference destination and its tourist diversity through the use of the government website; capitalizing tourists’ enterprises for communities’ development; improving the competitiveness of destinations through greater exposure of tourism products and services on the government website boosts the economic gains for the development of the tourism sector in the country. Accessibility to the information channel of Mozambican tourist destinations via the government website, and stimulating the desire to visit; improve and enrich the visitor’s experience quality on the government website in the tourist information consultation.

It is the first research in the country about tourism destination marketing using indicators like customers’ behavioral engagement levels based on social interactions such as likes, shares and comments on the government website, as well as its awareness and performance aspects, to analyze if the INATUR government website is being successful on its tourism destination marketer role. The research was also done to bring solutions to the current trends of the Covid-19 pandemic that has affected and disrupted the tourism industry.