Pub Date : 2023-01-20DOI: 10.1108/jhtt-08-2021-0241
Mónica Veloso, Mónica Gómez-Suárez
Purpose 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. Design/methodology/approach 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. Findings 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. Originality/value 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.
{"title":"The influential role of hotel-generated content on social media","authors":"Mónica Veloso, Mónica Gómez-Suárez","doi":"10.1108/jhtt-08-2021-0241","DOIUrl":"https://doi.org/10.1108/jhtt-08-2021-0241","url":null,"abstract":"\u0000Purpose\u0000This 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.\u0000\u0000\u0000Design/methodology/approach\u0000A total of 834 valid online questionnaires were collected to empirically test the measurement and structural model using a partial least square path modeling approach.\u0000\u0000\u0000Findings\u0000Although 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.\u0000\u0000\u0000Originality/value\u0000This 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.\u0000","PeriodicalId":51611,"journal":{"name":"Journal of Hospitality and Tourism Technology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43556175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-18DOI: 10.1108/jhtt-02-2022-0041
Yao Zhu, R. Zhang, Yongguang Zou, D. Jin
Purpose 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). Design/methodology/approach 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. Findings 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. Originality/value 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.
{"title":"Investigating customers’ responses to artificial intelligence chatbots in online travel agencies: the moderating role of product familiarity","authors":"Yao Zhu, R. Zhang, Yongguang Zou, D. Jin","doi":"10.1108/jhtt-02-2022-0041","DOIUrl":"https://doi.org/10.1108/jhtt-02-2022-0041","url":null,"abstract":"\u0000Purpose\u0000This 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).\u0000\u0000\u0000Design/methodology/approach\u0000The 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.\u0000\u0000\u0000Findings\u0000The 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.\u0000\u0000\u0000Originality/value\u0000By 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.\u0000","PeriodicalId":51611,"journal":{"name":"Journal of Hospitality and Tourism Technology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2023-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41852585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-10DOI: 10.1108/jhtt-11-2020-0298
Aldric Vives, Marta Jacob
Purpose 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. Design/methodology/approach 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. Findings 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. Originality/value 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.
{"title":"Sources of price elasticity of demand variability among Spanish resort hotels: a managerial insight","authors":"Aldric Vives, Marta Jacob","doi":"10.1108/jhtt-11-2020-0298","DOIUrl":"https://doi.org/10.1108/jhtt-11-2020-0298","url":null,"abstract":"\u0000Purpose\u0000The purpose of this paper is to use demand behavior estimation to find the sources of price variability among resort hotels at different Spanish destinations.\u0000\u0000\u0000Design/methodology/approach\u0000This 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.\u0000\u0000\u0000Findings\u0000The 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.\u0000\u0000\u0000Originality/value\u0000This 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.\u0000","PeriodicalId":51611,"journal":{"name":"Journal of Hospitality and Tourism Technology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48682684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-22DOI: 10.1108/jhtt-02-2022-0043
T. Wut, J. Xu, S. Wong
Purpose 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. Design/methodology/approach 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. Findings 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. Originality/value 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.
{"title":"Timing and congruence effects of corporate social responsibility practices on social media crises in the tourism industry","authors":"T. Wut, J. Xu, S. Wong","doi":"10.1108/jhtt-02-2022-0043","DOIUrl":"https://doi.org/10.1108/jhtt-02-2022-0043","url":null,"abstract":"\u0000Purpose\u0000Corporate 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.\u0000\u0000\u0000Design/methodology/approach\u0000An 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.\u0000\u0000\u0000Findings\u0000The 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.\u0000\u0000\u0000Originality/value\u0000This 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.\u0000","PeriodicalId":51611,"journal":{"name":"Journal of Hospitality and Tourism Technology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47640339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-05DOI: 10.1108/jhtt-05-2021-0140
Yuan Cui, Seungwoon Kim, Shi Feng
Purpose This study aims to explore the success factors of tourism performing arts (TPA) programs by analyzing a large data set of online reviews. Design/methodology/approach A total of 195,230 reviews from Ctrip.com were collected and preprocessed. A deep learning method was leveraged to estimate the similarity between words. Then, regression analysis was conducted to determine success factors. Findings This study extracted four positive and two negative factors affecting tourist satisfaction with tourism performance arts. The results demonstrate that the tourists paid the most attention to the traditional Chinese cultural aspects, audiovisual effects and the actors’ performing enthusiasm. Research limitations/implications Despite this study’s large data set, the focused was only on Chinese reviews. It would be useful and interesting to compare the success factors of tourism performance arts programs offered in different countries. Practical implications The study findings can contribute to the development of TPA programs to attract tourists to travel destinations. Originality/value This study demonstrates that analyzing online reviews of TPA through text mining technology is an effective method of understanding tourist satisfaction.
{"title":"Exploring success factors of tourism performing arts by analyses of online reviews","authors":"Yuan Cui, Seungwoon Kim, Shi Feng","doi":"10.1108/jhtt-05-2021-0140","DOIUrl":"https://doi.org/10.1108/jhtt-05-2021-0140","url":null,"abstract":"\u0000Purpose\u0000This study aims to explore the success factors of tourism performing arts (TPA) programs by analyzing a large data set of online reviews.\u0000\u0000\u0000Design/methodology/approach\u0000A total of 195,230 reviews from Ctrip.com were collected and preprocessed. A deep learning method was leveraged to estimate the similarity between words. Then, regression analysis was conducted to determine success factors.\u0000\u0000\u0000Findings\u0000This study extracted four positive and two negative factors affecting tourist satisfaction with tourism performance arts. The results demonstrate that the tourists paid the most attention to the traditional Chinese cultural aspects, audiovisual effects and the actors’ performing enthusiasm.\u0000\u0000\u0000Research limitations/implications\u0000Despite this study’s large data set, the focused was only on Chinese reviews. It would be useful and interesting to compare the success factors of tourism performance arts programs offered in different countries.\u0000\u0000\u0000Practical implications\u0000The study findings can contribute to the development of TPA programs to attract tourists to travel destinations.\u0000\u0000\u0000Originality/value\u0000This study demonstrates that analyzing online reviews of TPA through text mining technology is an effective method of understanding tourist satisfaction.\u0000","PeriodicalId":51611,"journal":{"name":"Journal of Hospitality and Tourism Technology","volume":"1 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2022-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41809005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-30DOI: 10.1108/jhtt-11-2022-332
Faizan Ali, Satish Kumar, R. Sureka, Vidhu Gaur, C. Cobanoglu
{"title":"Editorial: The Journal of Hospitality and Tourism Technology (JHTT): a retrospective review using bibliometric analysis","authors":"Faizan Ali, Satish Kumar, R. Sureka, Vidhu Gaur, C. Cobanoglu","doi":"10.1108/jhtt-11-2022-332","DOIUrl":"https://doi.org/10.1108/jhtt-11-2022-332","url":null,"abstract":"","PeriodicalId":51611,"journal":{"name":"Journal of Hospitality and Tourism Technology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48036664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-24DOI: 10.1108/jhtt-03-2021-0099
Nao Li, Xiaoyu Yang, I. Wong, Rob Law, J. Xu, Binru Zhang
Purpose This paper aims to classify the sentiment of online tourism-hospitality reviews at an aspect level. A new aspect-oriented sentiment classification method is proposed based on a neural network model. Design/methodology/approach This study constructs an aspect-oriented sentiment classification model using an integrated four-layer neural network: the bidirectional encoder representation from transformers (BERT) word vector model, long short-term memory, interactive attention-over-attention (IAOA) mechanism and a linear output layer. The model was trained, tested and validated on an open training data set and 92,905 reviews extrapolated from restaurants in Tokyo. Findings The model achieves significantly better performance compared with other neural networks. The findings provide empirical evidence to validate the suitability of this new approach in the tourism-hospitality domain. Research limitations/implications More sentiments should be identified to measure more fine-grained tourism-hospitality experience, and new aspects are recommended that can be automatically added into the aspect set to provide dynamic support for new dining experiences. Originality/value This study provides an update to the literature with respect to how a neural network could improve the performance of aspect-oriented sentiment classification for tourism-hospitality online reviews.
{"title":"Automating tourism online reviews: a neural network based aspect-oriented sentiment classification","authors":"Nao Li, Xiaoyu Yang, I. Wong, Rob Law, J. Xu, Binru Zhang","doi":"10.1108/jhtt-03-2021-0099","DOIUrl":"https://doi.org/10.1108/jhtt-03-2021-0099","url":null,"abstract":"\u0000Purpose\u0000This paper aims to classify the sentiment of online tourism-hospitality reviews at an aspect level. A new aspect-oriented sentiment classification method is proposed based on a neural network model.\u0000\u0000\u0000Design/methodology/approach\u0000This study constructs an aspect-oriented sentiment classification model using an integrated four-layer neural network: the bidirectional encoder representation from transformers (BERT) word vector model, long short-term memory, interactive attention-over-attention (IAOA) mechanism and a linear output layer. The model was trained, tested and validated on an open training data set and 92,905 reviews extrapolated from restaurants in Tokyo.\u0000\u0000\u0000Findings\u0000The model achieves significantly better performance compared with other neural networks. The findings provide empirical evidence to validate the suitability of this new approach in the tourism-hospitality domain.\u0000\u0000\u0000Research limitations/implications\u0000More sentiments should be identified to measure more fine-grained tourism-hospitality experience, and new aspects are recommended that can be automatically added into the aspect set to provide dynamic support for new dining experiences.\u0000\u0000\u0000Originality/value\u0000This study provides an update to the literature with respect to how a neural network could improve the performance of aspect-oriented sentiment classification for tourism-hospitality online reviews.\u0000","PeriodicalId":51611,"journal":{"name":"Journal of Hospitality and Tourism Technology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42602239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-24DOI: 10.1108/jhtt-09-2021-0266
Büşra Alma Çallı, Levent Çallı, Didar Sarı Çallı, Fatih Çallı
Purpose The purpose of this study is to examine how consumers perceive the importance of using robot technologies for 12 services evaluated under two categories considering the technology acceptance model (TAM). Design/methodology/approach The conceptual model analysis used structural equation modeling with the partial least squares estimation method, considering 638 responses. Findings The results revealed that the perceived importance (PI) of robotic service delivery tasks under “room division” and “food and beverage and secondary services” affect perceived usefulness (PU) and perceived ease of use (PEOU) differently. Besides, PEOU and PU significantly influence attitudes toward using robot-staffed hotels. Research limitations/implications The nonprobability convenience sampling method was used as the data collection method. Future studies that prefer probabilistic methods will open a different perspective for evaluating the results. Practical implications This study’s empirical findings reveal which robot-delivered services are found significant by the customers and contribute to increased customer satisfaction and loyalty. In addition, it guides accurate demand and investment planning for the tourism and hospitality industry in the post-COVID-19 era. Originality/value To the best of the authors’ knowledge, previous literature has not tested or confirmed the effects of PI related to two groups of robotic service delivery tasks on utilitarian variables. This study contributes to the literature by examining how different robotic service delivery tasks are linked to the TAM framework in a hotel setting.
{"title":"The impact of different types of service robots usage in hotels on guests’ intention to stay","authors":"Büşra Alma Çallı, Levent Çallı, Didar Sarı Çallı, Fatih Çallı","doi":"10.1108/jhtt-09-2021-0266","DOIUrl":"https://doi.org/10.1108/jhtt-09-2021-0266","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study is to examine how consumers perceive the importance of using robot technologies for 12 services evaluated under two categories considering the technology acceptance model (TAM).\u0000\u0000\u0000Design/methodology/approach\u0000The conceptual model analysis used structural equation modeling with the partial least squares estimation method, considering 638 responses.\u0000\u0000\u0000Findings\u0000The results revealed that the perceived importance (PI) of robotic service delivery tasks under “room division” and “food and beverage and secondary services” affect perceived usefulness (PU) and perceived ease of use (PEOU) differently. Besides, PEOU and PU significantly influence attitudes toward using robot-staffed hotels.\u0000\u0000\u0000Research limitations/implications\u0000The nonprobability convenience sampling method was used as the data collection method. Future studies that prefer probabilistic methods will open a different perspective for evaluating the results.\u0000\u0000\u0000Practical implications\u0000This study’s empirical findings reveal which robot-delivered services are found significant by the customers and contribute to increased customer satisfaction and loyalty. In addition, it guides accurate demand and investment planning for the tourism and hospitality industry in the post-COVID-19 era.\u0000\u0000\u0000Originality/value\u0000To the best of the authors’ knowledge, previous literature has not tested or confirmed the effects of PI related to two groups of robotic service delivery tasks on utilitarian variables. This study contributes to the literature by examining how different robotic service delivery tasks are linked to the TAM framework in a hotel setting.\u0000","PeriodicalId":51611,"journal":{"name":"Journal of Hospitality and Tourism Technology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47556576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-22DOI: 10.1108/jhtt-04-2021-0105
Mahmut Demir, Emre Yaşar, Sirvan Sen Demir
Purpose This study aims to examine the relationship between digital transformation (DigiTr), innovation and human resources planning (HRP) in hotels to investigate the impact of DigiTr on innovations and HRP and to test the mediating impact of innovation on the DigiTr-HRP relationship. Design/methodology/approach The authors used a quantitative research method in this study, specifically by conducting a hybrid face-to-face and online survey to collect data from 462 human resources (HR) managers, department managers and HR professionals at four- and five-star hotels in Turkey. The structured questionnaire assessed DigiTr, innovations in business models, services and processes and quantitative and qualitative changes in HR. The authors used covariance-based structural equation modeling to test the hypotheses. Findings DigiTr affected both innovations and HR planning in hotels, and also the effect of innovations on HR planning. In addition, DigiTr and innovations increased qualitative changes in HR planning but reduced quantitative changes. Finally, innovations mediated the relationship between DigiTr and HR planning. Practical implications These findings indicate that employers and employees need to be aware of developments in employment in the tourism industry, as these can significantly impact HR planning via DigiTr and innovations. Originality/value This study differs from the existing literature by providing empirical evidence to fill the knowledge gap regarding how DigiTr and innovation affect HR planning.
{"title":"Digital transformation and human resources planning: the mediating role of innovation","authors":"Mahmut Demir, Emre Yaşar, Sirvan Sen Demir","doi":"10.1108/jhtt-04-2021-0105","DOIUrl":"https://doi.org/10.1108/jhtt-04-2021-0105","url":null,"abstract":"\u0000Purpose\u0000This study aims to examine the relationship between digital transformation (DigiTr), innovation and human resources planning (HRP) in hotels to investigate the impact of DigiTr on innovations and HRP and to test the mediating impact of innovation on the DigiTr-HRP relationship.\u0000\u0000\u0000Design/methodology/approach\u0000The authors used a quantitative research method in this study, specifically by conducting a hybrid face-to-face and online survey to collect data from 462 human resources (HR) managers, department managers and HR professionals at four- and five-star hotels in Turkey. The structured questionnaire assessed DigiTr, innovations in business models, services and processes and quantitative and qualitative changes in HR. The authors used covariance-based structural equation modeling to test the hypotheses.\u0000\u0000\u0000Findings\u0000DigiTr affected both innovations and HR planning in hotels, and also the effect of innovations on HR planning. In addition, DigiTr and innovations increased qualitative changes in HR planning but reduced quantitative changes. Finally, innovations mediated the relationship between DigiTr and HR planning.\u0000\u0000\u0000Practical implications\u0000These findings indicate that employers and employees need to be aware of developments in employment in the tourism industry, as these can significantly impact HR planning via DigiTr and innovations.\u0000\u0000\u0000Originality/value\u0000This study differs from the existing literature by providing empirical evidence to fill the knowledge gap regarding how DigiTr and innovation affect HR planning.\u0000","PeriodicalId":51611,"journal":{"name":"Journal of Hospitality and Tourism Technology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48876471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-08DOI: 10.1108/jhtt-11-2021-0331
Quyet Nguyen, Cong Van Nguyen
Purpose This paper aims to examine the impact of the existing information and communication technology (ICT) infrastructure and the development of the destination’s ICT on the tourism demand of international tourists in an emerging economy, Vietnam. Design/methodology/approach Using time-series data from 1995 to 2019, this study applies vector error correction model to analyse the impact of ICT infrastructure in the short- and long term. Findings The results of analysis show that although ICT infrastructure does not affect the number of international tourists in the short term, it positively contributes to tourism development in the long term. In addition, the results also show that in the short term, consumer prices have a negative impact on tourist arrivals while having a positive effect in the long run. Research limitations/implications This study only considers the impact of ICT infrastructure on the whole without going into each factor reflecting different aspects of the ICT infrastructure. Moreover, this research only stops at the pre-pandemic period, so it has not shown the role of ICT infrastructure in travel and tourism demand during severe pandemic periods. Practical implications The research results are an essential basis to support the Vietnamese Government’s strategy to pursue an accelerated investment policy in ICT infrastructure, especially investment in the tourism and hotel industries. On the other hand, the research results also create more motivation and confidence for managers and operators of destinations in Vietnam to invest in ICT infrastructure and apply ICT in management. Originality/value This study adds to the literature on tourism–ICT linkages in an emerging tourism market directly between ICT infrastructure and international arrivals with a dynamic time series–based approach that considers the dynamics in the tourist demand identification model. In addition, this study used consumer price index to assess the impact of price on tourist demand instead of using the exchange rate or using the relative prices between the origin and destination countries.
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