Guest editorial: Challenges and prospects of AIoT application in hospitality and tourism marketing

Hsu, Chia-Shiang; Ting, Hiram; Lui, Tsz-Wai; Chen, Shih‐Chih; Cheah, Jun‐Hwa

doi:10.1108/jhtt-05-2022-326

Cited by 10 publications

(9 citation statements)

References 41 publications

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“…As the Metaverse is still in its early stages, experts recommend further exploration of crafting customer experiences within this virtual realm and designing Metaverse customer journey maps. Evaluating potential shifts in consumer attitudes and behaviors, as well as reimagining business approaches to marketing and operations, will be crucial to understanding the impact of this emerging technology (Hsu et al , 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

The new era of hotel marketing: integrating cutting-edge technologies with core marketing principles

Bilgihan,

Ricci

2023

JHTT

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Purpose This paper aims to explore the impact of emerging technologies, such as virtual reality, voice search, artificial intelligence, robotics and the Metaverse on hotel sales, marketing and revenue optimization. Design/methodology/approach This paper uses a combination of articles published in Journal of Hospitality and Tourism Technology and industry case studies to examine the integration of innovative technologies in hotel sales, marketing and revenue optimization strategies, plus the role of fundamental practices in ensuring long-term success. Findings The analysis demonstrates that innovative technologies can significantly enhance customer engagement, streamline booking processes and unlock new revenue streams. However, this paper also highlights the importance of fundamental marketing practices, such as user-friendly websites, fast and reliable/mobile-friendly websites, search engine optimization, social media engagement, content marketing and data-driven revenue management, in maintaining a hotel’s competitive advantage in the dynamic world of hospitality. Practical implications The findings suggest that hoteliers need to strike a balance between embracing emerging technologies and maintaining traditional marketing fundamentals to remain competitive and drive revenue growth. This integrated approach ensures long-term success in the ever-evolving hospitality landscape. Originality/value This paper bridges the gap between academia and industry practitioners by providing practical insights and implications that can be applied directly to hotels’ marketing and operational practices. The paper highlights the importance of balancing innovation with fundamental marketing strategies, emphasizing the need for an integrated approach to ensure long-term success in the ever-evolving world of hotel sales, marketing and revenue optimization – as well as those same tools in a plethora of hospitality and tourism venues working alongside the accommodations sector.

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Section: Literature Reviewmentioning

confidence: 99%

The new era of hotel marketing: integrating cutting-edge technologies with core marketing principles

Bilgihan,

Ricci

2023

JHTT

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“…However, the idea of metaverse technology has been introduced in 1992, when writer Stephenson wrote a novel entitled Snow Crash (Sparkes, 2021). Several years after the idea emerged, many researchers, innovators, and technology companies were trying to make it happen Hsu et al, 2022). Previous literature stated that the main attraction of the metaverse is its potential for serving immersive, interactive experiences (Han et al, 2022a;Kemec, 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

“…The metaverse allows travelers to create avatars and navigate virtual worlds using VR and other immersive technologies. Visitors can also explore city streets, visit popular tourist attractions, and interact with other visitors in real time Hsu et al, 2022;Zaman et al, 2022). The experience of visiting a tourist destination virtually without the need to travel physically is a key attraction of tourism in the metaverse (Gursoy et al, 2022b).…”

Section: Metaverse Implications In Tourismmentioning

confidence: 99%

“…The Gucci virtual bag is sold for 4115 US Dollars, exceeding the price of a physical bag of the same model, which is only 3400 US Dollars (Y K . Talwar et al (2022), , Hsu et al (2022), and Dwivedi et al ( 2022) conducted research and reviews on the application of metaverse, AR, and VR in tourism and business. located the primary critical application of metaverse, AR, and VR in tourism and many business sectors from different perspectives.…”

Section: Introductionmentioning

confidence: 99%

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Untitled

2023

IJABR

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“…Forecasting sales are pivotal for the hospitality industry (Mariani et al , 2018; Hsu et al , 2022). While many models exist, a significant challenge remains, namely, restaurants usually need more specific customer details and rely on point of sale (POS) systems.…”

Section: Introductionmentioning

confidence: 99%

Avoiding food waste from restaurant tickets: a big data management tool

Gómez-Talal,

González-Serrano,

Rojo-Álvarez

et al. 2024

JHTT

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Purpose This study aims to address the global food waste problem in restaurants by analyzing customer sales information provided by restaurant tickets to gain valuable insights into directing sales of perishable products and optimizing product purchases according to customer demand. Design/methodology/approach A system based on unsupervised machine learning (ML) data models was created to provide a simple and interpretable management tool. This system performs analysis based on two elements: first, it consolidates and visualizes mutual and nontrivial relationships between information features extracted from tickets using multicomponent analysis, bootstrap resampling and ML domain description. Second, it presents statistically relevant relationships in color-coded tables that provide food waste-related recommendations to restaurant managers. Findings The study identified relationships between products and customer sales in specific months. Other ticket elements have been related, such as products with days, hours or functional areas and products with products (cross-selling). Big data (BD) technology helped analyze restaurant tickets and obtain information on product sales behavior. Research limitations/implications This study addresses food waste in restaurants using BD and unsupervised ML models. Despite limitations in ticket information and lack of product detail, it opens up research opportunities in relationship analysis, cross-selling, productivity and deep learning applications. Originality/value The value and originality of this work lie in the application of BD and unsupervised ML technologies to analyze restaurant tickets and obtain information on product sales behavior. Better sales projection can adjust product purchases to customer demand, reducing food waste and optimizing profits.

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Guest editorial: Challenges and prospects of AIoT application in hospitality and tourism marketing

Cited by 10 publications

References 41 publications

The new era of hotel marketing: integrating cutting-edge technologies with core marketing principles

The new era of hotel marketing: integrating cutting-edge technologies with core marketing principles

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Avoiding food waste from restaurant tickets: a big data management tool

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