Tourism Management Research Research Articles

A research agenda for occupational safety, health, & well-being in hospitality & tourism management

With the exception of the most recent years following the global pandemic, hospitality and tourism-related research specifically examining worker safety, health, and well-being has not been a topic at the forefront in the discipline. Pre-pandemic studies investigating worker well-being frequently used dependent variables such as job satisfaction, turnover intention, and organizational commitment as proxies. The purpose of this research was to identify the gaps in occupational safety, health, and well-being priorities within the contemporary hospitality and tourism and adjacent literature. Utilizing a content analysis of 531 academic journal articles reduced from 4170 originally mined, 11,109 coded segments formed 9 clusters in which 3 overarching themes emerged. Based on the emergent themes, an interdisciplinary research framework adapted from Sorensen et al. (2016) and Peters et al. (2020) is proposed to improve the design and inclusion of occupational safety, health, and well-being constructs in future hospitality and tourism management research.

Mining tourist preferences and decision support via tourism-oriented knowledge graph

Currently, tourism management research is focused on comprehending the fluctuating tourist preferences and devising targeted development strategies through extensive analysis of heterogenous user-generated contents. However, given the online reviews of attractions involve overabundant mixed and intangible dimensions, the widely-used unsupervised text mining could be incomplete or inaccurate. Furthermore, the existing literature typically restricted to the certain types of attractions within several tourist destinations and origins, can hardly guarantee comprehensive insights. To overcome these limitations, the study proposes a novel knowledge-graph-driven framework, involving the systematic construction as well as the thorough investigation and inference of a tourism-oriented knowledge graph (TKG). Following the ontology of domain expertise, 11,296,716 structured triplets of multifaceted knowledge about 1,174,034 tourists and 20,481 attractions within all 340 city-level destinations across China are extracted from multi-source text corpus by the transferring learning on pre-training language model with 43.64–50.65 % accuracy enhancement. In virtue of TKG, a comprehensive decision-support system can be established, which bifurcates into two distinct modes of knowledge application: symbolic query and distributed reasoning. Through the implementation of multiple spatiotemporal analyses via SPARQL queries on TKG, the distribution regularities of tourist preference, causal interpretations, and their effects on destination development can be progressively detected. Refining the distributed representations of objects by injecting abundant contextual knowledge from TKG can significantly enhance the downstream inferential tasks, such as tourist demand prediction and attraction competitive intelligence.

A critical reflection on analytics and artificial intelligence based analytics in hospitality and tourism management research

PurposeThis work consists of a critical reflection on the extent to which hospitality and tourism management scholars have accurately used the term “analytics” and its five types (i.e. descriptive, exploratory, predictive, prescriptive and cognitive analytics) in their research. Only cognitive analytics, the latest and most advanced type, is based on artificial intelligence (AI) and requires machine learning (ML). As cognitive analytics constitutes the cutting edge in industry application, this study aims to examine in depth the extent cognitive analytics has been covered in the literature.Design/methodology/approachThis study is based on a systematic literature review (SLR) of the hospitality and tourism literature on the topic of “analytics”. The SLR findings were complemented by the results of an additional search query based on “machine learning” and “deep learning” that was used as a robustness check. Moreover, the SLR findings were triangulated with recent literature reviews on related topics (e.g. big data and AI) to generate additional insights.FindingsThe findings of this study show that: there is a growing and accelerating body of research on analytics; the literature lacks a consistent use of terminology and definitions related to analytics. Specifically, publications rarely use scientific definitions of analytics and their different types; although AI and ML are key enabling technologies for cognitive analytics, hospitality and tourism management research did not explicitly link these terms to analytics and did not distinguish cognitive analytics from other forms of analytics that do not rely on ML. In fact, the term “cognitive analytics” is apparently missing in the hospitality and tourism management literature.Research limitations/implicationsThis study generates a set of eight theoretical and three practical implications and advance theoretical and methodological recommendations for further research.Originality/valueTo the best of the authors’ knowledge, this is the first study that explicitly and critically examines the use of analytics in general, and cognitive analytics in particular, in the hospitality and tourism management literature.

Authenticity: Multiple-item Scale Development and Validation

The goal of this study is to create a scale for measuring authenticity in a tourism management environment. Authenticity has been extensively studied in a wide range of academic fields. Authenticity has been a theme in tourism management research, and this strategy is becoming more and more popular. Only a few studies have been done on measuring objects in a tourist setting, even though there is a wealth of literature on authenticity in tourism management. The primary objective of this study is to fill the above gap in the modern jurisprudence of tourism. In response to the need for standardizing the measurement of the construct, a multi-item "authenticity" scale was created. The scale has 18 items that measure how consumers feel about the authenticity of the goods, services, and experiences they use. This paper describes the scale development process and validation procedures. The empirical data was gathered using two distinct samples: business management, humanities, and social science majors at universities and hotel industry professionals. The data in this study were analyzed using an exploratory factor analysis, and it was found that authenticity has five different facets: The results of the conformity factor analysis confirmed aesthetic, cultural, environmental, personal experiences, and service as authenticating factors. In addition, the properties and the potential applications of the scale are discussed.

Bibliometrix Application on Halal Tourism Management Research

This research aims to find out and map research related to the development of Halal Tourism Management research trends published by leading journals on Halal Tourism Management policy. The analysis focused on describing the characteristics and trends of the keywords, authors, and journals. The data analyzed were from 191 research publications in Scopus. The search terms were “Halal Tourism Management”. The searches used to establish the study dataset were last updated on May 11, 2022. Descriptive statistical methods were used, and a bibliometric analysis was conducted using Biblioshiny, an R-based app, to generate a bibliometric map. This study has found that the basic themes of this topic are "Travelers Destinations Countries", "Muslim Tourists Destinations", and "Halal Tourism Indonesia". And the destination countries for halal tourism are not only Muslim countries, but there are non-Muslim countries that are developing halal tourism management such as; Japan, North Korea, Australia, and Thailand. The originality offered by this research is the use of the biblioshiny analysis tool by the R program.The limitations of this research include the time for data analysis is not long enough. The findings of this study can provide insight for regulators and academics to develop marketing strategies and management of halal tourism.

Determinants of continued use of tourism and hospitality e-commerce platforms and the role of information transparency

ABSTRACT Information transparency is a major influence on customers’ transaction-related decision-making process in an e-commercial environment. However, existing literature still lacks insight into this phenomenon in tourism management research. This study aims to integrate social cognitive theory into a value-based adoption model to investigate relationships between information transparency, perceived value, and continued use of tourism and hospitality e-commerce platforms. The proposed model was tested using structural equation modelling to analyze data collected from 253 respondents. The analysis revealed that product and transaction information transparency had significant positive associations with the convenience and financial benefit of using a travel-related tourism e-commerce platform as perceived by customers. However, it had significant negative associations with the perceived privacy risk and performance uncertainty. On the other hand, perceived value had a significant positive association with continued use. Additionally, service guarantee moderated the negative effects of perceived privacy risk and perceived performance uncertainty on perceived value. Meaningful findings and implications of the empirical data are also discussed.

A Mapping Halal Tourism Management Research: Text Mining using NVivo

Purpose: This study aims to identify and map the research related to the current development of Halal Tourism Management research. Method: The method used is qualitative by using literature studies from various published articles indexed by Scopus for the period 1997-2022 which were collected on May 11, 2022. The data were processed with Microsoft Excel 16 and analyzed using Nvivo 12 Plus software to perform coding and classification automatically. Results: The results show that there is a fluctuating improvement in halal tourism management during the 25-year observation period. There are 3 interesting things in the discussion of halal tourism management. First, halal is a basic reference in the development of tourism objects and halal tourism management. Second, tourists as a challenge in the halal tourism management system. Third, is the development of sustainable halal tourism industry. Contribution: This research formulates a strategy for the development of halal tourism management. This strategy focuses on halal tourism objects, marketing, and institutions. This research can be used as an additional study related to the Halal Tourism sector and has the potential to be developed.

Convergence in tourism management research

Convergence in tourism management research

Experiential Value in Multi-Actor Service Ecosystems: Scale Development and Its Relation to Inter-Customer Helping Behavior.

Interactions in service ecosystems, as opposed to the service dyad, have recently gained much attention from research. However, it is still unclear how they influence a customer’s experiential value and trigger desired prosocial behavior. The purpose of this study is to identify which elements of the multi-actor service ecosystem contribute to a customer’s experiential value and to investigate its relation to a customer’s interaction attitude and inter-customer helping behavior. The authors adopted a scale development procedure from the existing literature. Service, brand, retail and tourism management research as well as expert feedback is used to generate a pool of 33 items. Exploratory and confirmatory factor analysis (CFA) were conducted. The scale was validated based on more than 468 responses to a CASI at one of the world’s largest trade shows. Scale-development procedure was followed by structural equation modeling. CFA supports that experiential value in multi-actor ecosystems comprises five dimensions. The functional value of personnel (professionalism), the perception of other customers’ appearance (similarity), the perception of other customers’ behavior (suitable behavior), multisensory stimuli (sensory appeal), and a customer’s enjoyment (playfulness). Experiential value positively and directly relates to a customer’s interaction attitude and inter-customer helping behavior. Furthermore, the effect of experiential value on inter-customer helping behavior is partially mediated by interaction attitude. Managers interested in getting more out of interactions with customers will develop an understanding for the interplay between the physical environment and individuals within a multi-actor ecosystem. Social scientists and managers can use the scale to assess experiential value, encourage a customer’s interaction attitude and utilize the customers’ influence on their peers. This paper synthesizes insights from existing research on experiential value, from various fields, in one scale. This holistic approach is the first to simultaneously account for a customer’s interactions with the multisensory physical environment, personal interactions with employees and interactions between customers in a multi-actor service ecosystem.

Managing customer knowledge through the use of big data analytics in tourism research

ABSTRACTThe use of big data is growing in relevance and importance in tourism management research. Companies operating in this industry are exploiting big data analytics and developing systems to manage customer knowledge and provide the best service in the right place at the right time. This paper aims to provide a systematic literature review to present issues associated with the use of big data in tourism and identify future research directions on the topic. To achieve this aim, this paper develops a citation network analysis methodology to drive the content analysis and explore the content of 109 selected papers. The findings of this review highlight that although there is an increasing number of contributions on the topic, there are yet some issues that require to be further developed. In particular, the paper identifies research gaps and consequent research questions that represent an agenda for both researchers and practitioners.

Convergence in tourism management research: a bibliometric analysis

The tourism sector has correspondingly attracted a great deal of interest from many researchers with particular focuses falling on tourism management and witnessing exponential growth in the research on this field. Given this, the objective of this current study involves producing a chart of these scientific publications, identifying their intellectual structure and the research trends in tourism management. Our research thus seeks to contribute towards: (i) mapping the intellectual structure of research on tourism management as depicted in the academic literature, (ii) identifying the fundamental contributions made by the tourism management research field, (iii) determining the lines of research constituting its intellectual structure, (iv) identifying the scientific journals with the greatest impact on this area and (v) identifying the geographic distribution of knowledge, by universities and countries, and the collaborative structures.

A study of 19-years tourism management (1991–2009)

To map the invisible structure of tourism management studies in the past two decades, we compare the last decade of the 20th century to the fi rst decade of the 21st century. In this study, we provide network of knowledge, are identify the most important references and the most influential scholars, and their publications, which present solid network knowledge in tourism management area. This model helps identify the evolution of tourism management research and provide literatures for researchers to access the in this area.

Resource-based view as a perspective for public tourism management research: evidence from two Brazilian tourism destinations

This study adopted the Resource-Based View approach to analyse two public organizations located in Curitiba and Foz do Iguaçu, Brazil. The focus was to verify how organizational and tourist resources are being used for planning and public management in these cities. Data collection was made by adopting semi-structured interviews with two groups: public and private sector managers. The insights of these two groups and the use of documentary secondary data made it possible to infer that the main resource for the implementation of public policies was organizational architecture. However, the most influential resource in public tourism management is the existence of tourist resources and organizational resources related to internal and external relationships and organizational culture. The analysis demonstrated that the researched cities do not use or do not know how to use the available resources in value-creating activities for local tourist management. Both cities present imperfections that do not earmark the full exploitation of organizational resources, compromising the exploration of available tourist resources