Workplace mistreatment in the hospitality and tourism industry: A systematic literature review and future research suggestions

Purpose Entrepreneurship in the rural hospitality and tourism sector (RHT) has received wide attention in the past decade. However, a systematic review on this topic is currently lacking. This study aims to track the progress of the RHT and entrepreneurship literature by examining the various thematic research areas, identifying the research gaps and forecasting avenues of future research on the topic. Design/methodology/approach This paper catalogs and synthesizes the body of literature from the year 2000–2020 using a systematic literature review methodology. After discussing a brief history of RHT and entrepreneurship, the current study presents a review of 101 research articles. Findings The review highlights that RHT and entrepreneurship have received relatively limited attention from entrepreneurship journals. The content analysis revealed different gaps and limitations in the understanding of entrepreneurship in RHT, including a predominance of qualitative studies with limited theoretically-grounded and generalizable empirical studies. Furthermore, a high concentration of studies is from European countries. Six main thematic research areas were identified, namely, barriers and enablers, the roles of an entrepreneur, women in RHT, influencers of firm performance, innovation and value creation and methodological commonalities. The review also advances an RHT entrepreneurship ecosystem framework to summarize the findings. Originality/value Six promising research avenues are outlined based on the six themes identified. The suggested research questions draw from allied literature on small and medium businesses, innovation, women entrepreneurship and institutions to encourage the interdisciplinary cross-pollination of ideas. The findings are summarized in a novel research framework.

Download Full-text

Prospects of the fourth industrial revolution for the hospitality industry: a literature review

Journal of Hospitality and Tourism Technology ◽

10.1108/jhtt-08-2019-0107 ◽

2020 ◽

Vol 11 (3) ◽

pp. 479-494

Author(s):

Benjamin Appiah Osei ◽

Neethiahnanthan Ari Ragavan ◽

Henry Kofi Mensah

Keyword(s):

Literature Review ◽

Hospitality Industry ◽

Industrial Revolution ◽

Tourism Industry ◽

Service Industries ◽

Future Research ◽

Content Type ◽

Fourth Industrial Revolution ◽

Hospitality And Tourism ◽

The Impact

Purpose The economy of today has moved toward the fourth industrial revolution (FIR), which is characterized by the adoption of technologies such as cyber-physical systems, internet of things, big data, artificial intelligence and robotics. Globally, there is a lot of awareness created on the influence of the FIR on all industries, including hospitality and tourism. A plethora of studies on FIR have been conducted in the setting of manufacturing industries. Nonetheless, there seems to be in-exhaustive and non-consensual agreement among researchers as to the development and prospects of the FIR for service industries. Therefore, the aim of this paper was to comprehensively review the prospects of the FIR for the hospitality and tourism industry. Design/methodology/approach As a result of the novelty and gaps associated with the FIR in the hospitality literature, the authors explored the concept of FIR using a comprehensive literature review approach. Specifically, this paper reviews existing literature from diverse academic backgrounds, and annotates issues with regard to the evolution and prospects of the FIR for the hospitality industry. Findings Emphatically, the development and principles of FIR were expatiated. Additionally, an exegesis was carried out on the prospects (positives and challenges) of FIR for the hospitality industry. Finally, practical and social implications were also discussed. Originality/value It still remains a discourse among scholars and industry stakeholders as to the prospects of the FIR. This paper clarifies the confusion among researchers and bridges the literature gaps. Moreover, this review serves as a theoretical foundation for future research on the impact of FIR on the hospitality industry.

Download Full-text

Service quality research on China’s hospitality and tourism industry

International Journal of Contemporary Hospitality Management ◽

10.1108/ijchm-01-2014-0048 ◽

2015 ◽

Vol 27 (3) ◽

pp. 473-497 ◽

Cited By ~ 15

Author(s):

Nelson K. F. Tsang ◽

Louisa Yee-Sum Lee ◽

Hailin Qu

Keyword(s):

Service Quality ◽

Quantitative Methods ◽

Tourism Industry ◽

Equation Modeling ◽

Future Research ◽

Statistical Techniques ◽

Content Type ◽

Hospitality And Tourism ◽

Hospitality And Tourism Industry ◽

Chinese And English

Purpose – The study aims to provide an inventory of the existing English and Chinese research on service quality in China’s hospitality and tourism industry. The study aims to identify the reasons for the lack of research on service quality in China’s hospitality and tourism industry and the ignorance of the Chinese language literature in the field. Design/methodology/approach – A synthesis review is conducted of 31 articles published in 11 leading Chinese and English academic journals from 1998 to 2013. Findings – Popular research themes are service quality management and evaluation in the hotel sector. The majority of the reviewed articles are empirical studies that adopt quantitative methods, and none of the English articles use qualitative methods. Recent studies tend to use sophisticated statistical techniques such as confirmatory factor analysis and structural equation modeling. Changes in disciplines, publication trends and statistical techniques are observed. The theoretical and practical contributions of the Chinese and English publications are compared, and recommendations are made for future research. Originality/value – This study is one of the first to review and compare the existing publications in the leading Chinese- and English-language journals. It provides a platform for scholars, especially non-Chinese literate researchers, to understand the research on service quality in the China hospitality and tourism industry.

Download Full-text

Big data and analytics in hospitality and tourism: a systematic literature review

International Journal of Contemporary Hospitality Management ◽

10.1108/ijchm-03-2021-0301 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Marcello Mariani ◽

Rodolfo Baggio

Keyword(s):

Big Data ◽

Literature Review ◽

Systematic Literature Review ◽

Data Science ◽

The Body ◽

Future Research ◽

Content Type ◽

Tourism Management ◽

Scientific Outputs ◽

Hospitality And Tourism

Purpose The purpose of this work is to survey the body of research revolving around big data (BD) and analytics in hospitality and tourism, by detecting macro topical areas, research streams and gaps and to develop an agenda for future research. Design/methodology/approach This research is based on a systematic literature review of academic papers indexed in the Scopus and Web of Science databases published up to 31 December 2020. The outputs were analyzed using bibliometric techniques, network analysis and topic modeling. Findings The number of scientific outputs in research with hospitality and tourism settings has been expanding over the period 2015–2020, with a substantial stability of the areas examined. The vast majority are published in academic journals where the main reference area is neither hospitality nor tourism. The body of research is rather fragmented and studies on relevant aspects, such as BD analytics capabilities, are virtually missing. Most of the outputs are empirical. Moreover, many of the articles collected relatively small quantities of records and, regardless of the time period considered, only a handful of articles mix a number of different techniques. Originality/value This work sheds new light on the emergence of a body of research at the intersection of hospitality and tourism management and data science. It enriches and complements extant literature reviews on BD and analytics, combining these two interconnected topics.

Download Full-text

Corporate Governance in the Hospitality and Tourism Industry: Theoretical Foundations and Future Research

Journal of Hospitality & Tourism Research ◽

10.1177/10963480211011718 ◽

2021 ◽

pp. 109634802110117

Author(s):

Yuan Li ◽

Manisha Singal

Keyword(s):

Corporate Governance ◽

Current Knowledge ◽

Theory Development ◽

Tourism Industry ◽

Future Research ◽

General Management ◽

Hospitality And Tourism ◽

Hospitality And Tourism Industry ◽

Current Knowledge Base ◽

Theoretical Foundations

Although the importance of effective corporate governance for firm performance is recognized by scholars across hospitality and tourism (HT) as well as finance and general management fields, there seem to be several gaps, mixed findings, and conflicting results. To facilitate scholarly advancement, identify gaps in the current knowledge base, make suggestions for theory development, and provide direction for future research, we undertake a systematic review of research on corporate governance in the HT literature. Based on 120 peer-reviewed articles published since 1961, we identify 21 themes explored by scholars, and find that topics related to institutional ownership, determinants of executive compensation, board size, and merger and acquisition outcomes are commonly examined, whereas topics related to family ownership, debt, and regulation/law are seldom explored. Our comprehensive review contributes to the literature by synthesizing current knowledge and offering suggestions to scholars to extend corporate governance literature published in the HT field.

Download Full-text

Self-Service Technology in the Hospitality and Tourism Settings: A Critical Review of the Literature

Journal of Hospitality & Tourism Research ◽

10.1177/1096348020987633 ◽

2021 ◽

pp. 109634802098763

Author(s):

Lu Shiwen ◽

Jookyung Kwon ◽

Jiseon Ahn

Keyword(s):

Service Providers ◽

Influential Factors ◽

Tourism Industry ◽

Future Research ◽

Remarkable Change ◽

Research Guidelines ◽

Hospitality And Tourism ◽

Self Service ◽

Hospitality And Tourism Industry ◽

Self Service Technology

Self-service technology (SST) and its applications are changing the way the hospitality and tourism industry provides products and services to their customers. Although the use of SST is a remarkable change for service providers because its use can meet customers’ pursuit of an efficient life, research provides a sufficient overview of how the usage of SST influences customers’ service experience in the tourism and hospitality settings remains lacking. Thus, this study aims to provide an understanding of previous SST research and a basis for exploring the influential factors regarding SST adoption. To achieve this purpose, SST papers in leading hospitality and tourism academic journals were reviewed. Although the number of articles is limited, content analysis allows the authors to understand a phenomenon and identify research topics and methods in SST studies. Also, this study contributes to existing SST literature by providing future research guidelines.

Download Full-text

Are hospitality/tourism curricula ready for big data?

Journal of Hospitality and Tourism Technology ◽

10.1108/jhtt-09-2017-0081 ◽

2020 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Godwin-Charles Ogbeide ◽

Yao-Yi Fu ◽

Amanda Kay Cecil

Keyword(s):

Big Data ◽

Literature Review ◽

Data Analytics ◽

Big Data Analytics ◽

Tourism Industry ◽

Content Type ◽

Data Analyst ◽

Job Offers ◽

Hospitality And Tourism ◽

Hospitality And Tourism Industry

Purpose The purpose of this paper is to establish a conceptual framework on how hospitality and tourism educators could incorporate new technology and big data analytics into program curriculum. Design/methodology/approach The research developed a logic model to visualize the benefits/impact of hospitality and tourism data analyst via a literature review approach. Findings The incorporation of statistics, research and the knowledge of data exploration, analysis and insight into hospitality programs would enhance students’ data analysis competencies. Research limitations/implications This is a literature review paper, based on philosophical perspectives from literature review. It would be nice to conduct an empirical study with regard to data analytics in the hospitality and tourism industry. Practical implications The hospitality and tourism program coordinators and/or directors are urged to inspire more students who are interested in adding statistics and accounting studies to the hospitality and tourism field. Also, the hospitality and tourism data analyst would secure attractive job offers as well as enhance the average salary of hospitality and tourism graduates. Social implications Hospitality and tourism data analytics would secure attractive job offers as well as enhance the average salary of hospitality and tourism graduates. Originality/value The paper explored the impact of big data analytics in the hospitality and tourism industry and made recommendations for hospitality and tourism data analytics curricula.

Download Full-text

Crime research in hospitality and tourism

International Journal of Contemporary Hospitality Management ◽

10.1108/ijchm-09-2019-0750 ◽

2020 ◽

Vol 32 (3) ◽

pp. 1299-1323 ◽

Cited By ~ 2

Author(s):

Nan Hua ◽

Bin Li ◽

Tingting(Christina) Zhang

Keyword(s):

Literature Review ◽

Risk Perceptions ◽

Crime Control ◽

Research Priorities ◽

Tourism Industry ◽

Comprehensive Overview ◽

Content Type ◽

Hospitality And Tourism ◽

Research Stream ◽

Hospitality And Tourism Industry

Purpose The purpose of this study is to present a holistic literature review on crime research in the hospitality and tourism field. Design/methodology/approach This literature review included 109 crime-related academic papers in seven primary sources, namely, ScienceDirect, EBSCOhost’s hospitality and tourism complete, Emerald Management eJournals, Sage Journals, Google Scholar, Scopus and Web of Science. Findings From the exploration and synthesis of 109 articles, the following categories of crime research in the hospitality and tourism field emerged as follows: classification of crime research in the hospitality and tourism field; diversity of tourists, crime and risk perceptions; the impacts of crime on the hospitality and tourism industry; and crime control from stakeholders’ papers. In addition, this study advances crime research by proposing six research priorities for future investigation. Practical implications Tourism stakeholders are advised to achieve better cooperation in crime control under the guidance of the crime prevention model. High-technology tools are encouraged to be applied to detect and track criminal activities. Meanwhile, diverse applications of the media should be used as useful tools to control criminal activities in the hospitality and tourism industry. Originality/value This paper fills a gap by presenting the first comprehensive overview of crime research in the hospitality and tourism field in the past few decades and proposing six priorities for this research stream.

Download Full-text

Business intelligence and big data in hospitality and tourism: a systematic literature review

International Journal of Contemporary Hospitality Management ◽

10.1108/ijchm-07-2017-0461 ◽

2018 ◽

Vol 30 (12) ◽

pp. 3514-3554 ◽

Cited By ~ 72

Author(s):

Marcello Mariani ◽

Rodolfo Baggio ◽

Matthias Fuchs ◽

Wolfram Höepken

Keyword(s):

Big Data ◽

Literature Review ◽

Systematic Literature Review ◽

Business Intelligence ◽

Data Science ◽

Academic Research ◽

Research Field ◽

Future Research ◽

Content Type ◽

Hospitality And Tourism

PurposeThis paper aims to examine the extent to which Business Intelligence and Big Data feature within academic research in hospitality and tourism published until 2016, by identifying research gaps and future developments and designing an agenda for future research.Design/methodology/approachThe study consists of a systematic quantitative literature review of academic articles indexed on the Scopus and Web of Science databases. The articles were reviewed based on the following features: research topic; conceptual and theoretical characterization; sources of data; type of data and size; data collection methods; data analysis techniques; and data reporting and visualization.FindingsFindings indicate an increase in hospitality and tourism management literature applying analytical techniques to large quantities of data. However, this research field is fairly fragmented in scope and limited in methodologies and displays several gaps. A conceptual framework that helps to identify critical business problems and links the domains of business intelligence and big data to tourism and hospitality management and development is missing. Moreover, epistemological dilemmas and consequences for theory development of big data-driven knowledge are still a terra incognita. Last, despite calls for more integration of management and data science, cross-disciplinary collaborations with computer and data scientists are rather episodic and related to specific types of work and research.Research limitations/implicationsThis work is based on academic articles published before 2017; hence, scientific outputs published after the moment of writing have not been included. A rich research agenda is designed.Originality/valueThis study contributes to explore in depth and systematically to what extent hospitality and tourism scholars are aware of and working intendedly on business intelligence and big data. To the best of the authors’ knowledge, it is the first systematic literature review within hospitality and tourism research dealing with business intelligence and big data.

Download Full-text

Automation and artificial intelligence in hospitality and tourism

Tourism Review ◽

10.1108/tr-09-2019-0360 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Fauzia Jabeen ◽

Sameera Al Zaidi ◽

Maryam Hamad Al Dhaheri

Keyword(s):

Artificial Intelligence ◽

Tourism Industry ◽

Future Research ◽

Human Knowledge ◽

Relative Significance ◽

Content Type ◽

Factors Influencing ◽

Hospitality And Tourism ◽

Hospitality And Tourism Industry ◽

Knowledge Services

Purpose This study aims to develop a framework to identify and prioritize the key factors in automation and artificial intelligence (AI) implementation in the hospitality and tourism industry. Design/Methodology/Approach This paper used the analytic hierarchy process, a multi-criteria decision-making method, to prioritize the factors influencing automation and AI implementation. This paper developed a model with five criteria (human knowledge, services, robotics applications, internal environment and institutional environment) and 23 sub-criteria obtained from previous studies. This paper designed a questionnaire in the form of pairwise comparisons based on the proposed hierarchical structure. This paper used a nine-point ranking scale to show the relative significance of each variable in the hierarchy and tested the model among staff from 35 five-star hotels and top-rated tourism agencies in the United Arab Emirates. Findings Human knowledge, services and robotics applications were the most significant factors influencing automation and AI implementation. Practitioners and researchers in the hospitality and tourism industry could apply the proposed framework to develop sustainable strategies for implementing and managing automation and AI. The proposed framework may also be useful in future studies examining AI implementation in the hospitality and tourism industry. Originality/Value This paper developed a framework for policymakers that identifies and could help to overcome some of the challenges in implementing automation and AI in the hospitality and tourism sector around the world. The results provide an agenda for future research in this area.

Download Full-text