Crime research in hospitality and tourism

Hua, Nan; Li, Bin; Zhang, Tingting

doi:10.1108/ijchm-09-2019-0750

Cited by 32 publications

(17 citation statements)

References 79 publications

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“…Indeed, it is not only the commercial providers of hospitality services but also the government, through its policies, that can create, enhance and sustain a destination’s competitiveness, in which being hospitable plays a pivotal role (Omerzel, 2006). Furthermore, some studies suggest that government policies, such as those pertaining to public safety, crisis management and sustainable consumption, can support the hospitality industry’s sustainability (Hua et al , 2020; Jones and Comfort, 2020; Molina-Collado et al , 2022). As Ritchie and Jiang (2021) note, hospitality research needs to broaden its micro-organizational focus at a macro level by also considering government policy measures that are crucial to improving the hospitality and tourism industry’s resilience to risks and crises – such as following a global health pandemic (Baum and Hai, 2020) or natural disasters caused by climate change.…”

Section: Introductionmentioning

confidence: 99%

Local government’s role in promoting city hospitality: a meta-ethnography with a public management perspective

Gesso

Lodhi

Çobanoğlu

2022

IJCHM

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Purpose Adopting a public-management perspective, this study aims to conduct a meta-ethnography to discern local government’s role in city hospitality in terms of promoting the welcome the city gives its guests, filling a gap in research into the subject. Design/methodology/approach The authors used the seven-step iterative approach of Noblit and Hare’s meta-ethnography. By conducting a systematic search in the major bibliographic databases, ten qualitative studies on city hospitality were identified that met the criteria to be included. Concepts alluding to a local government’s role in city hospitality were coded in NVivo 11 software, translated and interpreted through the lens of public management. A total of 14 semi-structured interviews with experts were also conducted to further validate the meta-ethnography findings. Findings Six interrelated, third-order constructs were developed and conceptualized into an articulated model describing local government’s role in city hospitality from a public-management perspective: advocating, co-creating, strategizing, planning and implementing city hospitality, and promoting it into a sustainable tourism development. The model, also substantiated by expert feedback, describes local government actions to promote city hospitality and achieve sustainable tourism. It highlights a responsive, proactive and collaborative role for local government as a key actor responsible for the strategic management and co-creation of city hospitality. Research limitations/implications The study introduces public governance cues into a city hospitality context, with theoretical and practical implications for hospitality and tourism researchers, businesses, politicians, public managers, city officials and destination marketing/management practitioners. Originality/value The study proposes an original conceptual model that serves as an overarching framework and operative tool for understanding and practicing city hospitality in a contemporary public-management perspective. This lays the foundations for the development of a broadened notion of hospitality management, extended from the traditional context of the hospitality industry to that of the city or place. The study also showcases how meta-ethnography can be an effective methodology in business, management and accounting research, within which it is still a novelty.

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Section: Introductionmentioning

confidence: 99%

Local government’s role in promoting city hospitality: a meta-ethnography with a public management perspective

Gesso

Lodhi

Çobanoğlu

2022

IJCHM

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“…The authors conducted a comprehensive review of the m-payment literature in hospitality and tourism until January 2021 to provide a reliable result. Adopting the standard content analysis approach used in prior review studies, the authors followed a similar article review procedure implemented by Hua et al (2020) to ensure a complete collection of relevant studies. First, the articles were selected from five major sources: Google Scholar, EBSCOhost, Scopus, Web of Science and ScienceDirect.…”

Section: Methodsmentioning

confidence: 99%

Mobile payment technology in hospitality and tourism: a critical review through the lens of demand, supply and policy

Cheng

Fong

Law

2021

IJCHM

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Purpose This study aims to offer a comprehensive review of mobile payment (m-payment) research in hospitality and tourism. Design/methodology/approach This study systematically reviews 105 m-payment-themed publications retrieved from five research engines including EBSCOhost, Google Scholar, Web of Science, ScienceDirect and Scopus. Content analysis is used to draw insights from the articles. Findings Results show that research on m-payment in hospitality and tourism is generally categorized into consumer, supplier and policy dimensions. This study proposes a framework to summarize the demand–supply research standpoints and conditions that qualify research outcomes while providing contemporary policy-related discussions. Four research priorities for future studies are recommended. Practical implications Knowledge accumulation and policy-related discussions identified in this study equip practitioners with the opportunities and challenges brought by m-payment. This study provides recommendations according to the factors that drive adoption of m-payment. Originality/value This study addresses the academic gaps by critically analyzing m-payment research in hospitality and tourism and identifying four research priorities for future studies.

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“…e choice of parameters is crucial for the damage detection results. If the embedding dimension m is too small, the original signal retains fewer features in the reconstructed signal, i.e., the algorithm fails; if the embedding dimension m is too large, it leads to a slight difference between the aligned entropy values, making it difficult to detect subtle changes in the signal and distinguish changes in the signal and increasing the computational complexity [24]. If the delay time is too short, the reconstruction of the signal loses its meaning; if it is too large, it cannot effectively count the feature information in the signal.…”

Section: Design Of Cultural Heritage Tourism Information Statistical ...mentioning

confidence: 99%

Statistical System of Cultural Heritage Tourism Information Based on Image Feature Extraction Technology

Qin

Chen

Huang

et al. 2022

Mathematical Problems in Engineering

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This paper presents an in-depth study of a statistical system using image feature extraction technology for cultural heritage tourism information. Based on the specificity of the tourism industry, it combines the technical architecture, framework of image feature extraction, GIS basic design, database design, and other related theories; realizes visual mapping through relevant tourism statistics in GIS; and uses the spatial analysis capability of ArcGIS software to complete the statistical scheme of cultural heritage tourism information data in the context of Internet big data. In this paper, the image preprocessing process is accelerated by the parallel optimization of the filtering operation and down-sampling operation in the relevant image preprocessing algorithm. The preprocessed images can effectively improve the recognition effect of the image feature extraction and classification stage. Based on cultural heritage tourism information mining results, the design and development of the tourism information statistics platform are carried out. The platform is built and developed using GIS secondary development technology and HTML + CSS front-end development technology API, Echarts, and other image feature components. The platform enables the massive and disorganized tourism text information to be displayed in a way that is easier to understand in both maps and text. This paper’s research on critical technologies provides technical support for image feature extraction of tourism statistics, which has specific practical value. Implementing the cultural heritage tourism platform offers a visual operating environment for tourism, enabling cultural heritage tourism businesses to tap into user preferences so that users can effectively access the travel options that interest them, which is conducive to promoting the development of travel recommendation platforms.

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Crime research in hospitality and tourism

Cited by 32 publications

References 79 publications

Local government’s role in promoting city hospitality: a meta-ethnography with a public management perspective

Local government’s role in promoting city hospitality: a meta-ethnography with a public management perspective

Mobile payment technology in hospitality and tourism: a critical review through the lens of demand, supply and policy

Statistical System of Cultural Heritage Tourism Information Based on Image Feature Extraction Technology

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