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Journal of Hospitality and Tourism Technology
Journal Prestige (SJR): 0.52  Citation Impact (citeScore): 2 Number of Followers: 4  Hybrid journal * Containing 1  Open Access article(s) in this issue *ISSN (Print) 1757-9880 - ISSN (Online) 1757-9899 Published by Emerald  [362 journals]
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- Gamification and proenvironmental performance: could tourists return home
with more sustainable habits'-
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Authors: Lidia Aguiar-Castillo, Shivani Rajendra-Teli, Rafael Perez-Jimenez
Abstract: This study aims to demonstrate that gamification applied to an environmental behavior can create a habit. For this, it is necessary to determine the connection between traveler satisfaction and the different kinds of stimulus (extrinsic, intrinsic and internalized extrinsic). Survey data was gathered from gamers invited to answer a questionnaire after using an app in field experimentation in pilot cities in France, Spain and Portugal designated by the UrbanWaste committee (European Project). All data were studied using path equation modeling in AMOS software to test the study's dimensions and proposed research model. This study showed that, although gamification tools may be necessary to generate a habit in the first phase, these tools are superfluous when this habit is internalized. This study's originality lies in the relationship between traveler satisfaction with gamification and the generation of an environmental practice that also contributes to forming a positive image of the host destination. 本研究旨在证明游戏化在环境行为中的应用可促使环保习惯的形成。因此, 了解游客满意度和不同种类刺激 （外在的、内在的和内化的外在的）的关系十分重要。 在UrbanWaste委员会（欧洲项目）指定的法国、西班牙和葡萄牙的试点城市进行现场实验后, 研究小组从受邀答题的玩家中收集调查数据。所有数据都使用Amos软件中的路径方程建模进行研究, 以此来测试研究的维度和先前提出的研究模型。 本研究表明, 尽管游戏化工具可能在第一阶段是形成环保习惯所必需的, 但当这种习惯被内化时, 这些游戏化工具是多余的。 本研究的独创性在于了解游客游戏化满意度与环保行为产生的关系。这种环保行为同时有助于景区建立正面积极的形象。
Citation: Journal of Hospitality and Tourism Technology
PubDate: 2023-03-17
DOI: 10.1108/JHTT-06-2022-0161
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Relationships among memorable brand experience, brand preference, and
behavioral intentions: focusing on the difference between robot servers
and human servers-
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Authors: Jinsoo Hwang, Hyunjoon Kim, Heather Markham Kim
Abstract: This study aims to examine the differences among memorable brand experience, brand preference and behavioral intentions based on the type of service providers, such as robot servers and human servers. In addition, this study investigated the relationships among the four concepts. The data was collected from 296 customers who experienced robot servers and from 307 customers who experienced human servers. The data analysis results indicated that there was a statistical difference with the mean value of the five concepts according to the type of employee. The results also revealed that memorable brand experience has a positive influence on brand preference, which in turn positively influences intentions to use, word-of-mouth and willingness to pay more. This study attempted to find the difference between robot servers and human servers in memorable brand experience, brand preference and behavioral intentions in the restaurant industry for the first time. 本研究旨在根据服务提供商的类型（例如机器人服务员和人工服务员）检查令人难忘的品牌体验、品牌偏好和行为意图之间的差异。 此外, 本研究调查了四个概念之间的关系。 数据收集自 296 名体验过机器人服务器的客户和 307 名体验过人工服务器的客户。 数据分析结果表明, 根据员工类型, 五个概念的平均值存在统计差异。 结果还表明, 难忘的品牌体验对品牌偏好有积极影响, 进而对使用意向、口碑和支付更多的意愿产生积极影响。 这项研究首次试图找出机器人服务员和人工服务员在餐饮业令人难忘的品牌体验、品牌偏好和行为意图方面的差异。
Citation: Journal of Hospitality and Tourism Technology
PubDate: 2023-03-14
DOI: 10.1108/JHTT-09-2021-0254
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Role of recommendation sizes and travel involvement in evaluating travel
destination recommendation services: comparison between artificial
intelligence and travel experts-
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Authors: Wonseok (Eric) Jang, Soojin Kim, Jung Won Chun, A-Reum Jung, Hany Kim
Abstract: This study aims to understand how travelers evaluate travel destination recommendations received from either artificial intelligence (AI) or human travel experts (TEs) based on the size of recommendation and their travel involvement. This study used a 2 (agent type: AI vs TE) × 2 (size of recommendation: small vs large) × 2 (travel involvement: low vs high) between-subjects design. When AI recommends destinations, less-involved travelers perceive the recommendations as more credible and trust the system when AI offers larger recommendations than smaller ones. Meanwhile, when TEs offer recommendations, travelers consider the recommendations as equally credible and similarly trust the system, regardless of the recommendation size and travel involvement. This study sheds light on the design of human-centered AI travel destination recommendation services. 本研究旨在了解旅行者如何根据推荐的规模和他们的旅行参与度来评估从人工智能 (AI) 或人类旅行专家 (TE) 收到的旅行目的地推荐。 本研究使用 2（代理类型：AI 与 TE）×2（推荐数量：小与大）×2（旅行参与：低与高）受试者间设计。 当 AI 推荐目的地时, 参与度较低的旅行者认为推荐更可信, 并且当 AI 提供的建议比较小的建议大时信任系统。 同时, 当 TE 提供推荐时, 无论推荐数量大小和旅行参与度如何, 旅行者都认为这些推荐同样可信并且同样信任系统。 这项研究揭示了以人为本的人工智能旅游目的地推荐服务的设计。
Citation: Journal of Hospitality and Tourism Technology
PubDate: 2023-03-07
DOI: 10.1108/JHTT-01-2022-0013
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Exploring users’ continuance intention towards a peer-to-peer
accommodation sharing platform-
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Authors: Kwame Simpe Ofori, Junwu Chai, Ogechi Adeola, Aidatu Abubakari, George Oppong Appiagyei Ampong, Stephen Mahama Braimah, Richard Boateng
Abstract: Focused on peer-to-peer accommodation sharing, this paper aims to investigate the effect of perceived value on the two dimensions of satisfaction (transaction- and experience-based) and continuance intention involved in using a platform featuring triadic relationships. Survey data were collected from 392 Airbnb users and analysed using the partial least squares approach to structural equation modelling. All dimensions of perceived value had a significant effect on transaction-based satisfaction. Symbolic value did not have a significant effect on satisfaction. Transaction- and experience-based satisfaction had a significant effect on continuance intention. The findings highlight the differential effects of dimensions of perceived value for understanding customer satisfaction and continuance intention in the peer-to-peer accommodation context. The study focused on only one sector of the sharing economy, namely, the peer-to-peer accommodation sector. The study offers fresh insights on the nexus between value perceptions and continuance intention in the context of peer-to-peer accommodation. 本文以点对点住宿共享为重点, 研究了感知价值对使用具有三元关系的平台所涉及的满意度（交易和体验）和持续使用意图两个维度的影响。 从 392 名 Airbnb 用户处收集调查数据, 并使用结构方程建模的偏最小二乘法 (PLS-SEM) 进行分析。 感知价值的所有维度对基于交易的满意度都有显着影响。象征价值对满意度没有显着影响。基于交易和体验的满意度对持续意向有显着影响。 研究结果强调了感知价值维度对理解点对点住宿环境中的客户满意度和持续意图的不同影响。该研究仅关注共享经济的一个部门, 即点对点住宿部门。 该研究对点对点住宿环境下的价值感知和持续意图之间的关系提供了新的见解。
Citation: Journal of Hospitality and Tourism Technology
PubDate: 2023-03-07
DOI: 10.1108/JHTT-04-2020-0074
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Investigating the impact of large-scale exhibitions on hotel room rates
from a spatial-temporal perspective: a case of the Canton Fair in China-
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Authors: Li Zhou, Ying Lu, Hu Yu, Lin Lu, Dianting Wu, Juanjuan Zhao
Abstract: While the economic benefits of the exhibition industry for the hotel sector have been addressed, the impact of exhibitions on individual hotels is unknown, especially when individual hotels’ star classification and locations are considered. This study aims to provide a better understanding of how room rates of different hotels change during different stages of the Canton Fair in China from a spatial-temporal perspective. Room rates of 681 star-hotels within the city of Guangzhou before, during and after the Fair were extracted from websites. Through spatial interpolation and autocorrelation analysis and geographical detector (GeoDetector) technique, spatial and temporal patterns of hotel room rates and the interdependence between the convention center and the hotels with different star classification and locations were examined. An inverse-U shape of room rate change was identified before, during and after the Fair, and the five-star hotels had the sharpest increase. Moreover, the distribution of hotel room rates followed the law of distance decay. The variation of hotel rates became larger when the distance to the convention center was larger. Spatial high-high clusters varied among hotels with different star classification. This study contributed to the hotel literature by providing empirical evidence regarding how hotels with different star classification and locations were affected by events. This study also advanced the event literature by introducing GeoDetector. The findings of this study offered insights into the hotel location selection, pricing strategies and hotel collaboration with events. 虽然展览业对酒店业的经济效益已经得到解决, 但展览对单个酒店的影响尚不清楚, 尤其是在考虑单个酒店的星级和位置时。本研究旨在从时空角度更好地了解中国广交会不同阶段不同酒店的房价变化情况。 网站提取了广交会前、中、后广州市内681家星级酒店的房价。通过空间插值和自相关分析以及地理探测器（GeoDetector）技术, 研究了酒店房价的时空格局以及会议中心与不同星级和位置的酒店之间的相互依赖关系。 会前、会中、会后房价变化呈倒U型, 其中五星级酒店涨幅最大。此外, 酒店房价的分布遵循距离衰减规律。到会展中心的距离越远, 酒店价格的变化就越大。不同星级酒店的空间高-高集群存在差异。 该研究通过提供关于不同星级和位置的酒店如何受到事件影响的经验证据, 为酒店文献做出了贡献。这项研究还通过引入 GeoDetector 推进了事件文献。研究结果为酒店选址、定价策略和酒店与活动的合作提供了见解。
Citation: Journal of Hospitality and Tourism Technology
PubDate: 2023-03-03
DOI: 10.1108/JHTT-04-2021-0126
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Antecedents and consequences of strategic online-reputation management:
moderating effect of online tools-
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Authors: Francisco Peco-Torres, Ana I. Polo-Peña, Dolores M. Frías Jamilena
Abstract: This study aims to examine the antecedents and consequences of strategic online-reputation management among tourism firms. It is proposed that customer relationship management (CRM) is an antecedent of strategic online-reputation management, brand equity is a consequence of strategic online-reputation management and the use of online tools moderates the effect of strategic online-reputation management and CRM on brand equity. A quantitative empirical study is conducted among online marketing managers of chain hotels. Structural equation modeling (SEM) is used to verify the proposed relationships. The results show that CRM is an antecedent of strategic online-reputation management, and that strategic online-reputation management and CRM exert a positive effect on brand equity among firms that frequently use a range of online tools. No such effect is found in cases of limited usage of online tools. Tourism firms seeking to achieve greater brand equity by means of strategic online-reputation management should implement CRM and make extensive use of online tools. The main contributions of this study are that it analyzes the antecedents and consequences of strategic online-reputation management jointly and empirically; studies the moderating role of the use of online tools in the effect of online strategies – such as online-reputation management and CRM – on brand equity; and studies the consequences of CRM in online media. 本研究探讨旅游公司战略性在线声誉管理的前因和后果。建议 a) 客户关系管理 (CRM) 是战略性在线声誉管理的先决条件, b) 品牌资产是战略性在线声誉管理的结果, c) 在线工具的使用调节战略性在线声誉管理的效果- 品牌资产的声誉管理和 CRM。 本研究对连锁酒店的在线营销经理进行了定量实证研究。结构方程模型 (SEM) 用于验证所提出的关系。 CRM 是战略在线声誉管理的前身, 战略在线声誉管理和 CRM 对经常使用一系列在线工具的公司的品牌资产产生积极影响。在有限使用在线工具的情况下没有发现这种效果。 希望寻求通过战略性在线声誉管理实现更大品牌资产的旅游公司应实施 CRM 并广泛使用在线工具。 本研究的主要贡献在于：(i) 本研究联合实证分析战略性在线声誉管理的前因和后果; (ii) 本研究探讨了使用在线工具对在线战略（例如在线声誉管理和 CRM）对品牌资产的影响的调节作用; (iii) 本研究探讨了 CRM 在在线媒体中的影响。
Citation: Journal of Hospitality and Tourism Technology
PubDate: 2023-02-28
DOI: 10.1108/JHTT-05-2021-0144
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Co-creation of value in smart ecosystems: past trends and future
directions in tourism literature-
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Authors: Estrella Díaz, Águeda Esteban, Christina Koutra, Sofia Almeida, Rocío Carranza
Abstract: This study aims to present a general approach for understanding and analyzing the thematic evolution of the concept of co-creation in smart environments within the tourism context. This study performs a co-word analysis with a longitudinal framework that produces strategic diagrams to categorize the detected themes and concepts related to co-creation. By combining the performance analysis of science mapping, the following clusters are distinguished: information technology, social media and behavior; tourism organizations, management and innovation; co-creation, technology and sharing economy; co-production and hospitality; and Smart tourism, destinations, sustainability and residents. This study provides a valuable tool for tourism scholars and managers to effectively analyze the importance of different themes linked to co-creation in the concept of the smart environment. This research outlines the evolving issues in and around the touchpoints and associated emerging research topics for future research.
Citation: Journal of Hospitality and Tourism Technology
PubDate: 2023-02-17
DOI: 10.1108/JHTT-04-2021-0122
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Investigating customer acceptance, usage, trust, and perceived safety risk
of self-ordering kiosk technology in Malaysian quick-service restaurants
during COVID-19 pandemic-
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Authors: Noradzhar Baba, Mohd Hafiz Hanafiah, Aslinda Mohd Shahril, Muhammad Izzat Zulkifly
Abstract: The purpose of this study is to empirically examine the interrelationship between customer acceptance and usage of self-ordering kiosks, purchase behaviour and post-purchase behaviour in quick-service restaurants. This study also hypothesised that the perceived safety risk moderates the relationship between customer purchase and post-purchase behaviour. This study adopted a quantitative research methodology using an online survey. During the data collection process, 430 responses were obtained. The partial-least square-structural equation modelling was used to test the study’s model and hypotheses. The results of this study indicated that performance expectancy, effort expectancy, facilitating conditions, social influence, facilitating conditions, hedonic motivation and trust significantly influence purchase behaviour through the self-ordering kiosks. Meanwhile, price value and customer habit did not affect purchasing behaviour, while perceived safety risk as a moderator does not influence re-purchase behaviour. This study provides valuable implications for foodservice researchers and marketers related explicitly to technology adoption in restaurant services. Given the positive outlook on self-ordering kiosk usage, quick-service restaurants should continuously improve their ordering kiosk adoption and efficiency, especially during the health pandemic. This study is one of the few to predict and explain the consumer acceptance of self-service kiosks by integrating the Unified Theory of Acceptance and Use of Technology 2 model with other essential behavioural constructs. The inclusion of trust and perceived safety risk construct enhances the study model’s adaptability during health crises.
Citation: Journal of Hospitality and Tourism Technology
PubDate: 2023-02-17
DOI: 10.1108/JHTT-08-2021-0226
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- An empirical study on customers’ gambling intention in AI-supported
casinos-
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Authors: IpKin Anthony Wong, Keng Fong Chau, Heng U. Chan
Abstract: This study aims to synthesize a research model based on artificial intelligence (AI) applications in the casino setting. The model incorporates the technology acceptance model (TAM) along with three external drivers, including factors pertinent to personal traits (i.e. openness), AI technology (i.e. visibility, security and social influence) and context (i.e. monetary motivation). An empirical study was conducted with 354 casino patrons. Partial least squares-structural equation modeling was used to test the proposed relationships. The results reveal that openness, security and monetary motivation are significant antecedents of perceived usefulness. Visibility and social influence have significant direct effects on the intention to gamble in AI-supported casinos. This study reinvestigates the TAM model from the casino customers’ AI decision support perspective to illustrate both the direct and mediating effects of perceived usefulness and ease of use on such a system. It highlights the salience of social influence, personality traits and monetary motivation on the propensity to adopt AI. It also contributes to the casino literature by showcasing the role of technology in directing patrons’ decisions. 本研究综合了一项基于人工智能在赌场环境中应用的研究模型。该模型结合了技术接受模型 (TAM) 以及三个外部驱动因素, 包括与个人特征（即开放性）、人工智能技术（即可见性、安全性和社会影响力）和背景（即金钱动机）相关的因素. 对 354 名赌场顾客进行了实证研究。 PLS-SEM 用于测试提出的关系。 结果表明, 开放性、安全性和金钱动机是感知有用性的重要前提。知名度和社会影响力对在人工智能支持的赌场赌博的意图有显着的直接影响。 本研究从赌场客户的 AI 决策支持角度重新研究 TAM 模型, 以说明感知有用性和易用性对此类系统的直接和中介影响。它强调了社会影响、个性特征和金钱动机对采用人工智能的倾向的重要性。它还通过展示技术在指导顾客决策中的作用为赌场文献做出了贡献。
Citation: Journal of Hospitality and Tourism Technology
PubDate: 2023-02-14
DOI: 10.1108/JHTT-08-2021-0225
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Analysing online customer experience in hotel sector using dynamic topic
modelling and net promoter score-
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Authors: Van-Ho Nguyen, Thanh Ho
Abstract: This study aims to analyse online customer experience in the hospitality industry through dynamic topic modelling (DTM) and net promoter score (NPS). A novel model that was used for collecting, pre-processing and analysing online reviews was proposed to understand the hidden information in the corpus and gain customer experience. A corpus with 259,470 customer comments in English was collected. The researchers experimented and selected the best K parameter (number of topics) by perplexity and coherence score measurements as the input parameter for the model. Finally, the team experimented on the corpus using the Latent Dirichlet allocation (LDA) model and DTM with K coefficient to explore latent topics and trends of topics in the corpus over time. The results of the topic model show hidden topics with the top high-probability keywords that are concerned with customers and the trends of topics over time. In addition, this study also calculated and analysed the NPS from customer rating scores and presented it on an overview dashboard. The data used in the experiment are only a part of all user comments; therefore, it may not reflect all of the current customer experience. The management and business development of companies in the hotel industry can also benefit from the empirical findings from the topic model and NPS analytics, which will support decision-making to help businesses improve products and services, increase existing customer satisfaction and draw in new customers. This study differs from previous works in that it attempts to fill a gap in research focused on online customer experience in the hospitality industry and uses text analytics and NPS to reach this goal. 本研究旨在通过动态主题建模和净推荐值分析酒店业的在线客户体验。 提出了一种用于收集、预处理和分析在线评论的新模型, 以了解语料库中的隐藏信息并获得客户体验。 收集了一个包含 259,470 条英文客户评论的语料库。 研究人员通过 Perplexity 和 Coherence Score 测量结果进行了实验, 并选择了最佳的 K 参数（主题数量）作为模型的输入参数。 最后, 团队使用 Latent Dirichlet allocation (LDA) 模型和具有 K 系数的 Dynamic Topic Model (DTM) 在语料库上进行实验, 以探索语料库中的潜在主题和主题随时间变化的趋势。 主题模型的结果显示了隐藏的主题, 其中包含与客户相关的顶级高概率关键字以及主题随时间的变化趋势。 此外, 该研究还根据客户评分计算和分析净推荐值 (NPS), 并将其显示在概览仪表板上。 实验中使用的数据只是所有用户评论的一部分; 因此, 它可能无法反映所有当前的客户体验。 酒店业公司的管理和业务发展也可以受益于主题模型和 NPS 分析的实证结果, 这将支持决策制定, 帮助企业改进产品和服务, 提高现有客户满意度, 并吸引新客户 . 本研究不同于以往的研究, 因为它试图填补以酒店业在线客户体验为重点的研究空白, 并使用文本分析和 NPS 来实现这一目标。
Citation: Journal of Hospitality and Tourism Technology
PubDate: 2023-02-10
DOI: 10.1108/JHTT-04-2021-0116
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Travellers’ online sharing across different platforms: what and
why'-
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Authors: Reza Ashari Nasution, Nila Armelia Windasari, Lidia Mayangsari, Devi Arnita
Abstract: There is a limited understanding of experience revelation in tourism. This study aims to fill the gap by investigating the influence of review platforms’ characteristics, i.e. time-dimension and interactivity, on this issue to generate a holistic view of customer experience. This study analysed data from Google Reviews, TripAdvisors and Twitter, consisting of 41,914 records within a three-year span, about Komodo National Park, Indonesia. An explanatory sequential mixed method was performed, adopting quantitative sentiment analysis with a naïve algorithm, opinion lexicon and Latent Dirichlet Allocation for topic modelling, followed by a qualitative analysis. The findings support the proposed interaction between the characteristics of the platforms and the extent of customer experience shared through the platforms. Further elaboration of the data brought up five propositions on the relationship between the time dimension and interactivity characteristics of the review platforms and experience sharing on the platforms. This study presents an original and initial effort to gather a holistic view on customer experience. It brings valuable implications to the theory and practice of customer experience management, especially in the tourism sector. 目前文献对旅游体验启示的认识有限。 本研究通过调查评论平台的特征（即时间维度和交互性）对此问题的影响来填补空白, 以生成客户体验的整体视图。 本研究分析了来自谷歌评论、TripAdvisors 和 Twitter 的数据, 包括三年内关于印度尼西亚科莫多国家公园的 41,914 条记录。 运用了解释性顺序混合方法, 采用朴素算法、意见词典和隐含狄利克雷分布进行主题建模的定量情感分析, 然后进行定性分析。 调查结果支持所提出的平台特征与通过平台共享的客户体验程度之间的相互作用。 对数据的进一步阐述, 提出了评论平台的时间维度和交互特征与平台经验分享之间关系的五个命题。 本研究通过一项原创和初步的努力收集了关于客户体验的整体观点。 它为客户体验管理的理论和实践带来了宝贵的启示, 尤其是在旅游领域。
Citation: Journal of Hospitality and Tourism Technology
PubDate: 2023-02-06
DOI: 10.1108/JHTT-02-2021-0040
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- The eWOM adoption model in the hospitality industry: the moderating effect
of the vlogger’s review-
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Authors: Hoang Tran Phuoc Mai Le, Sann Ryu
Abstract: Vloggers (video bloggers) have emerged as a new phenomenon in social media marketing, especially in the hotel industry, where user-generated reviews can strongly influence purchase decisions. Therefore, this paper aims to build an electronic word-of-mouth (eWOM) adoption model (EAM) that incorporates source evaluation attributes (information quality, major influence and source credibility), trust in eWOM and eWOM intention (EWOMI) and booking intention and investigate the moderation of negative reviews from vloggers on relationships in the EAM. This paper conducted two studies (ns1 = 446, ns2 = 374). The data were collected through an online and face-to-face survey with an experimental design. This paper conducted covariance-based structural equation model to examine main effects and applied a multiple-group analysis to test the moderating effect of vlogger reviews. Three attributes of source evaluation are important predictors of trust in eWOM, which positively impact eWOM and booking intention. EWOMI also positively affects booking intention. Moreover, the negative review of vloggers can lower the effects of information quality on trust and of trust on EWOMI in Study 1 and on hotel booking intention in Study 2. This study builds the EAM model for the hospitality context and provides novel insights into the moderating effects of vloggers’ negative reviews on the relationships in the EAM. Vlogger（视频博主）已成为社交媒体营销中的一种新现象, 尤其是在酒店行业, 用户生成的评论可以强烈影响购买决策。 因此, 本文旨在建立一个电子口碑 (eWOM) 采用意向模型（EAM）, 该模型包含来源评估属性（信息质量、主要影响力和来源可信度）、对电子口碑的信任、eWOM intention (EWOMI) 和预订意愿, 以及 (2) 调查视频博主对 EAM 中关系的负面评论的调节。 当前的研究进行了两项研究（ns1 = 446, ns2 = 374）。 数据是通过带有实验设计的在线和面对面调查收集的。 本文使用 CB-SEM 来检查主要效果, 并应用多组分析来测试 vlogger 评论的调节效果。 来源评估的三个属性是网络口碑信任度的重要预测指标, 对网络口碑和预订意愿产生积极影响。 EWOMI 也对预订意愿产生积极影响。 此外, vlogger 的负面评论可以降低信息质量对信任的影响, 以及信任对研究 1 中的 EWOMI 和研究 2 中的酒店预订意愿的影响。 这项研究为酒店环境建立了 EAM 模型, 并提供了关于视频博主负面评论对 EAM 中关系的调节作用的新颖见解。
Citation: Journal of Hospitality and Tourism Technology
PubDate: 2023-02-06
DOI: 10.1108/JHTT-08-2021-0233
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Impacts of tourists’ trust, perception and acceptance of health quick
response technology on responsible pandemic travel behaviours-
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Authors: Shasha Liu, Danni Zheng
Abstract: This paper aims to establish and empirically test a theoretical framework to explain the impacts of health quick response (QR) technology trust and acceptance on responsible pandemic travel. The study integrates trust, confidence and cooperation theory and the technology acceptance model (TAM) to address the research aim. Adopting a quota sampling approach, a national online survey of 1,089 respondents was conducted across mainland China. Structural equation modelling is applied to evaluate the proposed hypotheses. Results indicate that health QR code technology trust can improve travel confidence and mitigate travel fear, which influences travel intention and social distancing practices among tourists. However, tourists’ acceptance of health QR codes encourages social distancing behaviours rather than travel intentions. The study illustrates the role of health information technology in improving tourist confidence and responsible travel behaviours in a pandemic context. Furthermore, the research supports and adds to the TAM by investigating the relationships between acceptance of health-related technology and pandemic travel behaviour. This research helps the local government and tourism managers to evaluate the effectiveness of health QR codes in pandemic travel in China. Strategies for improving tourists’ trust, technology adoption and responsible behaviours are provided. This study differs from existing literature by investigating the innovative technology (i.e., health QR codes) in pandemic travel. Given the prevalence of health QR codes after the COVID-19 outbreak, it fills a knowledge gap and provides advice to improve pandemic travel safety. 本文旨在建立并实证检验一个理论框架, 以解释健康快速反应 (QR) 技术信任和接受对负责任的大流行旅行的影响。 该研究整合了信任、信心和合作理论以及技术接受模型来解决研究目标。 采用配额抽样的方法, 在中国大陆对 1089 名受访者进行了全国在线调查。 应用结构方程模型来评估提出的假设。 结果表明, 健康二维码技术信任可以提高旅行信心并减轻旅行恐惧, 这会影响游客的旅行意愿和社会疏远做法。 然而, 游客对健康二维码的接受鼓励了社会疏远行为, 而不是旅游意图。 该研究说明了健康信息技术在大流行背景下提高游客信心和负责任的旅行行为方面的作用。 此外, 该研究通过调查健康相关技术的接受度与流行病旅行行为之间的关系, 支持并补充了技术接受度模型。 这项研究帮助当地政府和旅游管理者评估健康二维码在中国大流行旅游中的有效性。 提供了提高游客信任度、技术采用和负责任行为的策略。 这项研究与现有文献的不同之处在于调查了大流行旅行中的创新技术（即健康二维码）。 鉴于 COVID-19 爆发后健康二维码的流行, 它填补了知识空白并提供了改善大流行旅行安全的建议。
Citation: Journal of Hospitality and Tourism Technology
PubDate: 2023-02-06
DOI: 10.1108/JHTT-11-2021-0330
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- The impact of the COVID-19 pandemic on travel cryptocurrency and stock
market performances: an event-study approach-
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Authors: Hwang Kim
Abstract: This paper aims to evaluate the impact of the COVID-19 pandemic on the performance of travel cryptocurrency and stock markets over a long period during the pandemic. A generalized autoregressive conditional heteroskedasticity model was developed for 6 travel cryptocurrencies and the top 10 hotel, 7 airline and 26 restaurant stocks listed on the NASDAQ stock exchange. An event-study approach was applied to the emergence of the novel coronavirus and its variant, Omicron. Additionally, abnormal returns of the respective assets in response to such events were estimated. Results indicated that the travel cryptocurrency market did not respond to the early stage of the pandemic, but NASDAQ hotel, restaurant and airline stocks revealed abnormal negative returns when the pandemic manifested in the USA. Upon the official US declaration of a pandemic, both cryptocurrencies and tourism stocks showed abnormal negative returns, but these were considerably greater among stocks than cryptocurrencies. Conversely, in response to the Omicron variant, only hotel, restaurant and airline stocks showed abnormal negative returns. These results imply that travel cryptocurrencies are a financial instrument independent of hotel, restaurant or airline stocks. Thus, adopting travel cryptocurrencies may help investors and businesses diversify risk during long-duration crises such as COVID-19. To the best of the author’s knowledge, this paper is the first empirical study to investigate the impact of the COVID-19 pandemic on the recently emerging travel cryptocurrency market using an event-study approach to investigate how it differs from tourism stock performances. 本文评估了 COVID 大流行在疫情期间很长一段时间对旅游加密货币和股票市场表现的影响。 为 6 种旅行加密货币和纳斯达克证券交易所上市的前 10 大酒店、7 家航空公司和 26 家餐厅股票开发了 GARCH（广义自回归条件异方差）模型。 将事件研究方法应用于新型冠状病毒及其变种 Omicron 的出现。 此外, 还估计了相应资产因此类事件而产生的异常收益。 结果表明, 旅游加密货币市场对疫情初期没有反应, 但纳斯达克酒店、餐厅和航空公司股票在美国出现疫情时出现异常负回报。 在美国正式宣布大流行后, 加密货币和旅游股均出现异常负回报, 但股票中的负回报要远高于加密货币。 相反, 作为对 Omicron 变体的回应, 只有酒店、餐厅和航空股出现异常的负回报。 这些结果表明, 旅行加密货币是一种独立于酒店、餐厅或航空公司股票的金融工具。因此, 采用旅游加密货币可能有助于投资者和企业在 COVID-19 等长期危机期间分散风险。 本文是第一份旨在调查 COVID-19 大流行对最近新兴的旅游加密货币市场的影响的实证研究, 并使用事件研究方法来调查它与旅游股票表现有何不同。
Citation: Journal of Hospitality and Tourism Technology
PubDate: 2023-02-01
DOI: 10.1108/JHTT-02-2022-0053
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- The role of badges to spur frequent travelers to write online reviews
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Authors: Sérgio Moro, Stefania Stellacci
Abstract: Online travel reviews platforms have become innovative information systems due to the incorporation of sophisticated gamification elements such as visually appealing badges. This study aims to analyze three features of the review after leveling up a badge: review length (number of words), sentiment scoring and period between two successive reviews (number of days until the next review is written). A total of 77,000 online TripAdvisor reviews written by 100 frequent travelers and contributors are analyzed using a data mining approach. A data-based sensitivity analysis is then conducted to provide an understanding of the data mining trained models. The results show evidence that badges appealing for self-pride (“badge passport”) and for peer-recognition (“badge helpful”) have significant influence across the lifespan of online review, whereas badges simply awarded by counting the contributions have little effect. To the best of the authors’ knowledge, this study provides the first analysis of how an experienced traveler is influenced as the badges and points are being awarded. Intrinsic motivational factor to award badges for standard contributions scarcely influence user behavior. Badges need to be designed to reward accomplishments that are not so trivial to be achieved and that do not depend entirely on the user. 在线旅游评论平台已成为创新的信息系统, 这也是由于结合了复杂的游戏化元素, 例如具有视觉吸引力的徽章。本研究旨在分析升级徽章后评论的三个特征：评论长度（字数）、情绪评分和两次连续评论之间的时间段（距离撰写下一次评论的天数）。 本研究使用数据挖掘方法分析了由 100 位常旅客和贡献者撰写的总共 77,000 条在线 TripAdvisor 评论。然后进行基于数据的敏感性分析 (DSA), 以提供对数据挖掘训练模型的理解。 结果表明, 具有自我自豪感（“徽章护照”）和同行认可（“徽章有帮助”）的徽章在在线评论的整个生命周期中具有显着影响, 而仅通过计算贡献来授予徽章几乎没有影响。 本研究首次分析了经验丰富的旅行者在获得徽章和积分时受到的影响。奖励标准贡献徽章的内在动机因素几乎不会影响用户行为。需要设计徽章来奖励那些并非微不足道且不完全取决于用户的成就。
Citation: Journal of Hospitality and Tourism Technology
PubDate: 2023-01-27
DOI: 10.1108/JHTT-05-2021-0156
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Aspect-based sentiment analysis on online customer reviews: a case study
of technology-supported hotels-
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Authors: İbrahim Akın Özen, Eda Özgül Katlav
Abstract: The purpose of this study is to determine the satisfaction of the guests who stay at hotels offering technology-supported products and services related to the services and products they receive by using the opinion mining technique. In this research, 12,396 customer reviews on booking.com related to ten hotels belonging to a hotel chain using technology-supported products were evaluated with aspect-based sentiment analysis techniques. As a result of this study, it has been determined that using technology in hotel businesses creates a positive impression on customer satisfaction. It has been determined that the enrichment of standard hotel business products such as beds and room lighting with technology, in a way that will not be very costly, affects the guests. In addition, it is interesting that technological features such as robots and room service robots, which are called “High & Technology” in this study, are evaluated by customers in the service process. The hotel managements have the opportunity to evaluate the services we offer by analyzing their online comments and to see their own image from the eyes of the guests. Hotel businesses must learn about customer expectations for technologies with high investment costs. This study, which analyzes online customer reviews, enables tourism businesses that offer technology-supported products and services and invest in technology in service delivery, to understand how customers evaluate the service. In this study, customer reviews of a hotel group operating in many countries belonging to a hotel group that enriches its standard products with technology and provides service with the concept of a “smart hotel” were examined. This study contributes to the understanding of customers' experience of using technological products in hotel businesses. This study contributes to the literature on customers' satisfaction with technological hotel products and services and the decision of hotels to invest in technology. 本研究通过使用意见挖掘技术旨在确定入住酒店的客人的满意度。这些客人接受酒店提供的产品相关的技术支持和服务。 在这项研究中, 使用基于特定方面的情感分析技术评估了 booking.com 上与属于连锁酒店的 10 家酒店相关的 12,396 条客户评论, 这些酒店均使用科技支持的产品。 作为这项研究的结果, 已经确定在酒店业务中使用科技会对客户满意度产生积极的影响。已经确定, 标准酒店商务产品（例如床、房间照明等）的丰富科技以不会非常昂贵的方式影响客人。此外, 客户感兴趣的是在本研究的服务过程中包括机器人和技术特征, 例如客房服务机器人, 作为“高科技”层面。 酒店管理层分析了客人的在线评论, 并有机会评估他们的服务并从客人的眼中看到自己的形象。酒店企业必须了解客户对高投资成本技术的期望。本研究分析了直接体验过的消费者的意见。因此, 研究结果将使决定投资服务技术的酒店企业受益。 在这项研究中, 我们对一家在许多国家经营的酒店集团的客户评论进行了调查。该酒店属于一家酒店集团, 该集团以技术丰富其标准产品, 并以“智能酒店”的概念提供服务。该研究有助于了解客户在酒店业务中使用技术产品的体验。该研究扩展了客户对酒店科技产品和服务的满意度的文献, 以及对酒店投资技术的决策做出贡献。
Citation: Journal of Hospitality and Tourism Technology
PubDate: 2023-01-27
DOI: 10.1108/JHTT-12-2020-0319
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Understanding Vietnamese consumers’ perception and word-of-mouth
intentions towards Airbnb
Open Access Article-
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Authors: Thuc Thi Mai Doan Do, Luis Nobre Pereira
Abstract: This paper aims to provide a comprehensive understanding of Vietnamese consumers’ perceived value and to explore the relationships between its constructs, satisfaction and (e)word-of-mouth (WOM) intentions towards Airbnb. Moreover, the relationship between traditional WOM and electronic WOM (eWOM) was also investigated. An electronic survey was applied to collect data on a sample of Vietnamese Airbnb guests. A total of 352 questionnaires were collected, from which 163 eligible Airbnb users remained for data analysis. The partial least square approach to structural equation modelling was used to analyse the data. The findings suggested that monetary, functional and hedonic benefits significantly impact Vietnamese customer satisfaction (CS) with Airbnb accommodation, which, in turn, acts as a direct effect and mediator in encouraging customers’ (e)WOM-giving intentions. Moreover, traditional WOM intention positively influences eWOM giving intention. This study provides a better comprehension of customers’ perceived value that influences CS and their (e)WOM intentions towards Airbnb. Secondly, it extends the literature on WOM intentions from the message communicator’s perspective by confirming the positive association between traditional and eWOM-giving intentions. Finally, this paper reveals insights into the sharing accommodation in a fast-growing market in South East Asia (Vietnam), which supports sharing accommodation platforms and service providers to develop appropriate marketing strategies. 本文旨在全面了解越南消费者的感知价值, 并探讨其结构、满意度和 (e) 对 Airbnb 的口碑意图之间的关系。此外, 还研究了传统口碑（WOM）和电子口碑（eWOM）之间的关系。 应用电子调查收集越南 Airbnb 客人样本的数据。共收集问卷 352 份, 剩余 163 名符合条件的 Airbnb 用户进行数据分析。 SEM 的偏最小二乘法用于分析数据。 调查结果表明, 货币、功能和享乐方面的好处显着影响越南客户对 Airbnb 住宿的满意度, 这反过来又在鼓励客户的 (e)WOM 给予意图方面起到直接作用和中介作用。此外, 传统口碑意向对网络口碑给予意向有正向影响。 本研究提供了对影响客户满意度的客户感知价值及其对 Airbnb 的 (e)WOM 意图的更好理解。其次, 它通过确认传统和 eWOM 给予意图之间的正相关关系, 从信息传播者的角度扩展了关于 WOM 意图的文献。最后, 本文揭示了东南亚（越南）快速增长市场中共享住宿的见解, 从而为共享住宿平台和服务提供商制定适当的营销策略提供支持。
Citation: Journal of Hospitality and Tourism Technology
PubDate: 2023-01-27
DOI: 10.1108/JHTT-12-2020-0321
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Functionality and usability features of ubiquitous mobile technologies:
the acceptance of interactive travel apps-
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Authors: Mark Anthony Camilleri, Ciro Troise, Metin Kozak
Abstract: Customers are increasingly using mobile applications (apps) to compare prices of travel and hospitality services and to purchase their itineraries, tours and stays. This study aims to explore key factors affecting the individuals’ perceptions on the usefulness of travel apps and sheds light on the causal paths predicting the individuals’ dispositions to use them. Quantitative data was gathered from 1,320 research participants, who were members of popular social media groups. They were analyzed through a composite-based partial least squares approach. The results confirm that information quality, source credibility and the functionality of travel apps are significantly affecting the individuals’ perceptions about their usefulness as well as their intentions to continue using them in future. They also indicate that there are highly significant indirect effects within the information technology adoption model. This study integrates the information quality and source credibility factors from the information adoption model (IAM) with a functionality construct that was drawn from electronic service quality. This study examines their effects on the technology acceptance model (TAM)’s perceived usefulness and behavioral intentions. This research implies that there is scope for the travel service providers to enhance the quality and functionality of their mobile apps to improve their consumers’ perceptions about the utilitarian value of these ubiquitous technologies. This contribution raises awareness on the importance of incorporating a functionality construct in addition to IAM and/or TAM “usability” factors to better understand the individuals’ dispositions to avail themselves of online content and/or to adopt interactive innovations. In this case, it implies that certain functionality features of travel apps, including their responsiveness and technical capabilities, can trigger users to increase their engagement with these mobile technologies on a habitual basis. 客户越来越多地使用移动应用程序 (apps) 来比较旅行和酒店服务的价格, 并购买他们的行程、旅游和住宿。 本研究探讨了影响个人对旅行应用程序有用性看法的关键因素, 并阐明了预测个人使用这些应用程序的倾向的因果路径。 本研究从 1,320 名流行社交媒体团体的成员作为研究参与者收集了定量数据。 通过基于复合材料的偏最小二乘法 (PLS) 方法对它们进行了分析。 结果证实, 信息质量、来源可信度和旅游应用程序的功能显着影响个人对其有用性的看法以及他们未来继续使用它们的意图。 它们还表明, 信息技术采用模型 (ITAM) 中存在非常显着的间接影响。 这项研究表明, 旅游服务提供商可以提高其移动应用程序的质量和功能, 以提高消费者对这些无处不在的技术的实用价值的看法。 本研究将来自信息采用模型 (IAM) 的信息质量和来源可信度因素与从电子服务质量 (eSERVQUAL) 中提取的功能结构相结合。 本研究检查了它们对技术接受模型 (TAM) 的感知有用性和行为意图的影响。 这一贡献提高了人们对在 IAM 和/或 TAM“可用性”因素之外加入功能结构的重要性的认识, 以更好地了解个人利用在线内容和/或采用交互式创新的倾向。 在这种情况下, 这意味着旅游应用程序的某些功能特性（包括响应能力和技术能力）可以触发用户习惯性地增加对这些移动技术的参与。
Citation: Journal of Hospitality and Tourism Technology
PubDate: 2023-01-24
DOI: 10.1108/JHTT-12-2021-0345
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- The influential role of hotel-generated content on social media
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Authors: Mónica Veloso, Monica Gomez-Suarez
Abstract: This study aims to determine how hotel-generated content (HGC) on official social media accounts influences booking intention by considering the mediating role of three key constructs: user evaluations of the perceived quality of information, engagement and brand attitude. A total of 834 valid online questionnaires were collected to empirically test the measurement and structural model using a partial least square path modeling approach. Although HGC does not have a direct effect on booking intention, this construct has a positive influence on both the perceived quality of information and engagement, which in turn positively influence booking intention. In addition, greater engagement generates a positive attitude, which increases booking intention. This study represents a new step in understanding the influence of HGC on tourist behavior by extending research on guests’ decision-making processes and empirically demonstrating the chain of related influences that begins with HGC to promote booking intention. 本研究旨在通过考虑三个关键结构的中介作用来确定官方社交媒体账户上酒店生成的内容 (HGC) 如何影响预订意愿：用户对信息感知质量的评价、参与度和品牌态度。 共收集了 834 份有效的在线问卷, 以使用偏最小二乘路径建模方法对测量和结构模型进行实证检验。 虽然 HGC 对预订意愿没有直接影响, 但这种结构对信息的感知质量和参与度都有积极影响, 进而对预订意愿产生积极影响。 此外, 更多的参与会产生积极的态度, 从而增加预订意愿。 本研究代表了理解 HGC 对游客行为影响的新步骤, 它扩展了对客人决策过程的研究, 并通过实证证明了从 HGC 开始的相关影响链, 以促进预订意愿。
Citation: Journal of Hospitality and Tourism Technology
PubDate: 2023-01-20
DOI: 10.1108/JHTT-08-2021-0241
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Investigating customers’ responses to artificial intelligence chatbots
in online travel agencies: the moderating role of product familiarity-
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Authors: Yao Zhu, Rongteng (Renata) Zhang, Yongguang Zou, Dan Jin
Abstract: This paper aims to examine how consumers’ perceptions of artificial intelligence (AI) chatbots influence individuals’ cognitive and emotional states and their subsequent behavioural intentions vis-à-vis online travel agencies (OTAs). The survey sample comprised 566 customers who had experienced the use of travel AI chatbots in China using a combination of online and offline questionnaires. Partial least squares structural equation modelling was used to test the hypotheses. The results revealed that interaction and information quality, as AI chatbot stimuli, significantly increase potential tourists’ trust and purchase intention. Perceived usefulness plays a mediating role in the relationship among interactivity, information quality, customer trust and purchase intention. Furthermore, the findings indicated that customers with high product familiarity exhibited greater trust in products demonstrating a high level of perceived usefulness. By integrating cognitive consistency theory, this study theoretically validates the applicability of the stimulus–organism–response framework on AI chatbots and provides academics with useful insights regarding the influence mechanisms of human–computer interaction and information quality on customer response within OTA settings. 研究旨在检验消费者对人工智能聊天机器人的感知如何影响潜在旅游者个体的认知、情绪状态以及购买意愿。 研究结合线上、线上问卷调查方式共调研了566名体验过在线旅行社中聊天机器人的消费者, 进一步利用偏最小二乘结构方程模型对理论假设进行实证检验。 研究发现人机互动性和信息质量作为聊天机器人的外在刺激, 显著影响潜在游客的信任和购买意愿; 感知有用性在互动性、信息质量、顾客信任和购买意愿之间起中介作用。此外, 产品熟悉度高的顾客对具有高感知有用性的产品会产生更大的信任。 研究结合认知一致性理论, 从理论上拓展了SOR框架在旅游聊天机器人的适用性, 解释了消费者响应人机交互的内在机制。
Citation: Journal of Hospitality and Tourism Technology
PubDate: 2023-01-18
DOI: 10.1108/JHTT-02-2022-0041
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Sources of price elasticity of demand variability among Spanish resort
hotels: a managerial insight-
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Authors: Aldric Vives, Marta Jacob
Abstract: The purpose of this paper is to use demand behavior estimation to find the sources of price variability among resort hotels at different Spanish destinations. This paper estimates online demand functions during high season for seven four-star resort hotels located at different Spanish destinations. Different price elasticity values are compared, and different factors affecting price elasticity are analyzed. The main findings indicate that most of the high season periods display elastic demands, but factors such as a central location at a resort, recent refurbishments, the availability of additional facilities/services and a hotel targeted at the couples and/or half-board segments make the demand more inelastic; the Tenerife hotels had the most price-elastic demand; during the closest booking periods to the date of stay, the demand is usually more elastic; and a higher number of local competitors pushes down hotel prices. This paper highlights the managerial implications of focusing on more profitable demand segments for hoteliers. This is especially useful for the development of revenue management software aimed at improving forecasts. 该论文评估了位于西班牙不同目的地的七家四星级度假酒店在旺季期间的在线需求函数。比较不同的价格弹性值, 分析影响价格弹性的不同因素。 本文的目的是使用需求行为估计来找出西班牙不同目的地度假酒店价格变化的来源。 主要调查结果表明：（1）大多数旺季期间的需求弹性, 但诸如度假村的中心位置、最近的翻新、额外设施/服务的可用性以及针对夫妻和/的酒店等因素或半食宿使需求更加缺乏弹性; (2) 特内里费酒店的价格弹性需求最大; (3) 在离入住日期最近的预订期间, 需求通常更具弹性; (4) 更多的本地竞争者压低了酒店价格。 本论文强调了酒店经营者应关注更有利可图的需求细分市场的管理意义。研究发现对于开发旨在改进预测的收益管理软件特别有价值。
Citation: Journal of Hospitality and Tourism Technology
PubDate: 2023-01-10
DOI: 10.1108/JHTT-11-2020-0298
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Timing and congruence effects of corporate social responsibility practices
on social media crises in the tourism industry-
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Authors: Tai Ming Wut, Jing (Bill) Xu, Shun-Mun Helen Wong
Abstract: Corporate reputation is one of the key intangible assets of a company and is commonly influenced by negative posts on social media, such as customer complaints. Up to date, no known research investigates the pre- and post-social media crisis corporate social responsibility (CSR) practices on corporate reputation in the tourism context. This study addresses this research gap. The purpose of the study is to investigate the effects of CSR practices on corporate reputation in social media crises. The congruence of CSR practices was examined in this study in relation to social media crises using the stimulus–organism–response (SOR) theory. An experimental vignette method was used. Respondents were randomly divided into four experimental groups and a control group. Data was collected from 435 respondents in Hong Kong through quota sampling, in which age and gender are control variables. The findings indicated that social media crisis recovery needs CSR practices to restore the corporate image. CSR practices are more impactful immediately after, rather than before, a social media crisis. Furthermore, the business scope of the company should be taken in the planning and enforcement of CSR practices. This study extends the situational crisis communication theory in social media crises by using CSR practices. The CSR practice provides a unique role in crisis management. It could belong to a bolstering category that can be used together with other corporate crisis responses. Corporations in the tourism industry increase their exposure to sustainability both within and beyond social media. This research shows that this can be effectively accomplished through CSR practices that are congruent with the tourism industry. 企业社会责任实践的时机和一致性对旅游业社交媒体危机的影响 企业声誉是公司的关键无形资产之一, 通常会受到社交媒体上负面帖子的影响, 例如客户投诉。迄今为止, 尚无已知研究调查社交媒体危机前和社交媒体危机后的企业社会责任实践对旅游企业声誉的影响。本研究解决了这一研究缺口。该研究的目的是调查企业社会责任实践对社交媒体危机中企业声誉的影响。本研究使用刺激-有机体-反应 (SOR) 理论检验了与社交媒体危机相关的企业社会责任实践的一致性。 使用实验性小插图方法。受访者被随机分为四个实验组和一个对照组。通过配额抽样从香港的 435 名受访者那里收集数据是, 其中年龄和性别是控制变量。 调查结果表明, 社交媒体危机恢复需要企业社会责任实践来恢复企业形象。企业社会责任实践在社交媒体危机之后立即产生影响, 而不是之前。此外, 在企业社会责任实践的规划和实施中应考虑公司的业务范围。 这项研究通过使用企业社会责任实践扩展了社交媒体危机中的情境危机传播理论。 CSR 实践在危机管理中发挥着独特的作用。它可能属于可以与其他企业危机应对措施一起使用的支持类别。旅游业公司在社交媒体对内和对外增加了对可持续性的曝光。我们的研究表明, 这可以通过与旅游业一致的企业社会责任实践有效地实现。
Citation: Journal of Hospitality and Tourism Technology
PubDate: 2022-12-22
DOI: 10.1108/JHTT-02-2022-0043
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- The impact of digitalization on labor productivity evolution: evidence
from China-
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Authors: Malin Song, Weiliang Tao, Zhiyang Shen
Abstract: This paper aims to examine the impact and mechanism of digital development on enterprise labor productivity. In addition, this study empirically analyzes the nonlinear impact of digitalization on labor productivity. This paper uses a fixed effect model, a mediation effect model and a panel threshold model to test the theoretical hypothesis of this study. The results demonstrated that digitalization had a promotional effect on labor productivity, with approximately 18% of this effect achieved through transmission and influence on human capital. In addition, the novelty of this study lies in the discovery that digitization has an obvious nonlinear positive effect on corporate labor productivity. The results suggest that companies should increase investment in data-driven innovation capabilities, improve the implementation of digital talent training plans, improve their financing capacity and strengthen corporate internal management, while the government should provide appropriate policy support differently for various enterprises. This study takes China’s Shanghai and Shenzhen A-share listed companies as the research object, systematically examines the impact and mechanism of digital development on enterprise labor productivity and explores the nonlinear relationship between digitalization and enterprise labor productivity, which is a new angle. 本文旨在探讨数字化发展对企业劳动生产率的影响及其机制。此外, 本研究实证分析了数字化对劳动生产率的非线性影响。 本文采用固定效应模型、中介效应模型和面板门槛模型来检验本研究的理论假设。 结果表明, 数字化对劳动生产率有促进作用, 其中约 18% 是通过对人力资本的传导和影响来实现的。此外, 本文的新颖之处在于发现了数字化对企业劳动生产率具有显著的非线性正效应。结果表明, 企业应加大对数据驱动创新能力的投入, 完善数字化人才培养计划的实施, 提高融资能力, 加强企业内部管理, 政府应针对各类企业提供差异化的政策支持。 本研究以中国沪深A股上市公司为研究对象, 系统考察了数字化发展对企业劳动生产率的影响和机制, 探讨了数字化与企业劳动生产率之间的非线性关系, 这是一个新的研究角度。
Citation: Journal of Hospitality and Tourism Technology
PubDate: 2022-08-31
DOI: 10.1108/JHTT-03-2022-0075
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- Revising the tourism-induced environment Kuznets curve hypothesis in top 8
Asian economies: the role of ICT and renewable energy consumption-
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Authors: Syed Ale Raza Shah, Daniel Balsalobre-Lorente, Magdalena Radulescu, Qianxiao Zhang, Bilal Hussain
Abstract: This paper aims to emphasize economic complexity, tourism, information and communication technology (ICT), renewable energy consumption and foreign direct investment (FDI) as the determinants of carbon emissions. These economies rely on the tourism sector, and Asian countries rank among the top tourism economies worldwide in terms of tourism receipts. This study uses a series of empirical estimators, i.e. cross-sectional augmented auto-regression distributive lag and panel cointegration, to validate the main hypotheses. The econometric results confirm an inverted U-shaped association between economic complexity and carbon emissions, validating the economic complexity index induced environment Kuznets curve hypothesis for the selected Asian economies. Finally, the empirical results admit articulating some imperative policy suggestions to attain a sustainable environment on behalf of outcomes. Furthermore, ICT and renewable energy consumption are environment-friendly indicators, while FDI and the international tourism industry increase environmental pressure in selected countries. In addition, this study also explores the interaction between renewable energy and ICT with FDI and their effects on carbon emissions. Interestingly, both interaction terms positively respond to the environmental correction process. Because ICT with FDI may not reduce environmental pollution unless the energy used in FDI projects is greener. Moreover, in Asian economies, industrial and other sectors could increase environmental quality via the role of ICT in FDI. 修正亚洲前 8 大经济体的旅游环境库兹涅茨曲线假设：ict 和可再生能源消耗的作用 这些经济体依赖旅游业, 就旅游收入而言, 亚洲国家在全球旅游经济体中名列前茅。本研究使用一系列经验估计量, 即 CS-ARDL 和面板协整来验证我们的主要假设。 本文强调经济复杂性、旅游、信息和通信技术 (ICT)、可再生能源消费和外国直接投资 (FDI) 作为碳排放的决定因素 计量经济学结果证实了经济复杂性与碳排放之间的倒 U 型关联, 验证了 ECI 对选定亚洲经济体的环境库兹涅茨曲线 (EKC) 假设。 最后, 实证结果承认阐明了一些必要的政策建议, 以代表结果实现可持续环境。 此外, 信息通信技术和可再生能源消耗是环境友好型指标, 而外国直接投资和国际旅游业增加了选定国家的环境压力。此外, 本研究还探讨了可再生能源和 ICT 与外国直接投资之间的相互作用及其对碳排放的影响。有趣的是, 这两个交互项都对环境校正过程做出了积极响应。 ICT 与 FDI 可能不会减少环境污染, 除非 FDI 项目中的能源使用更环保。此外, 在亚洲经济体中, 工业和其他部门可以通过 ICT 在 FDI 中的作用提高环境质量。 环境库兹涅茨曲线; 外商直接投资;信息和通信技术; 可再生能源;旅游;亚洲主要旅游经济体 文章类型： 研究型论文
Citation: Journal of Hospitality and Tourism Technology
PubDate: 2022-07-15
DOI: 10.1108/JHTT-02-2022-0064
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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