Consumer Preference Analysis and Rating Prediction Model in the Restaurant Industry Based on Restaurant Information and Consumer Reviews DOI Creative Commons
Qing Li

Advances in economics, business and management research/Advances in Economics, Business and Management Research, Год журнала: 2023, Номер unknown, С. 464 - 471

Опубликована: Сен. 25, 2023

The restaurant industry has increasingly relied on the development of Internet and mobile apps in recent years.Diner tends to make decisions based information customer reviews apps, while merchant also focuses improve quality service attract more customers.It is noteworthy these ratings show that consumers pay attention attributes such as environment, food variety, parking condition need for reservation.These obvious tendencies can either serve positive factors restaurants, or directly result consumer dissatisfaction negative reviews.However, many review limit rating a scale 1-5 with difference 0.5, which not only restricts customers' ratings, but affects rating's authenticity.Therefore, this paper will firstly explore influence different by using regression analysis summarize consumer's preference selection tendency.Secondly, it compare prediction results model, decision tree model random forest model.The shows effectively predict reduce errors keeping MSE R2 within reasonable range, reflect real attitude towards restaurants greater accuracy.

Язык: Английский

The influence of energy-saving information in online reviews on green home appliance purchase behavior based on machine learning DOI
Lanlan Li,

Xiaomeng Yuan

Energy and Buildings, Год журнала: 2024, Номер 314, С. 114296 - 114296

Опубликована: Май 14, 2024

Язык: Английский

Процитировано

7

Professionalisation and performance of Airbnb hosts in rural regions DOI
Birgit Leick, Sara Beth Mitchell, Karol Jan Borowiecki

и другие.

International Journal of Hospitality Management, Год журнала: 2024, Номер 118, С. 103680 - 103680

Опубликована: Янв. 12, 2024

Язык: Английский

Процитировано

6

How does the career commitment of hospitality employees change across career stages? A multilevel investigation into occupational self-efficacy and family support DOI Creative Commons
Dan Zhu, Peter B. Kim,

Simon Milne

и другие.

International Journal of Hospitality Management, Год журнала: 2024, Номер 120, С. 103748 - 103748

Опубликована: Апрель 17, 2024

This study examined how and why hospitality employees' occupational self-efficacy family support influence their career commitment over time. Longitudinal data was collected from 310 employees at three different points of time, with a three-month lag between them, exploring the differences in growth trajectories early mid-to-late career. Results modeling revealed that declines time for early-career but increases counterparts. The findings also indicated organizational mediates relationships both between- within-person levels. Furthermore, time-varying effect analysis captured significant changes magnitude antecedents across stages. Implications drawn are discussed researchers practitioners.

Язык: Английский

Процитировано

6

How Customer Avoidance Leads to Customers Returning: A Longitudinal Study Concerning Online Travel Agencies DOI Creative Commons
Zerui Su, Hong‐Youl Ha

Journal of theoretical and applied electronic commerce research, Год журнала: 2025, Номер 20(1), С. 35 - 35

Опубликована: Фев. 25, 2025

Customers’ intentions to avoid a product or service tend be dynamic. Thus, this study aims explore the influence of trajectory changes in customers’ avoidance after recovery on relationship strength, negative word-of-mouth (WOM) intentions, and revisit intentions. Using longitudinal approach with three-month lag intervals, we implement latent growth model analysis test our proposed hypotheses. Our findings demonstrate that desire engage failure evolves, but its impact wanes. As decreases, WOM likewise decline, firm (which, study, is travel agency) increase, thereby attenuating an avoidance-becomes-defection effect over time. Meanwhile, strength initially grows then weakens recovery. In contrast, slightly decrease from early mid-stage, followed by increase late stage. Furthermore, does not affect at subsequent phase. offer innovative insights into upgrading customer perspectives regarding We also present managerial implications strategies vary

Язык: Английский

Процитировано

0

One out of five stars! Negative restaurant attributions post-dissatisfactory delivery DOI
Deniz Kuter,

Gülden Asugman

International Journal of Hospitality Management, Год журнала: 2025, Номер 128, С. 104167 - 104167

Опубликована: Март 22, 2025

Язык: Английский

Процитировано

0

Is proactive service always right? The study on the dual influence mechanisms of proactive customer service performance on customer satisfaction DOI
Dewen Liu, Chunyang Zhou, Yuanzheng Wang

и другие.

International Journal of Hospitality Management, Год журнала: 2025, Номер 130, С. 104225 - 104225

Опубликована: Май 8, 2025

Язык: Английский

Процитировано

0

A systematic review of solo dining research DOI
Huiling Huang,

Shouhua Feng,

IpKin Anthony Wong

и другие.

International Journal of Hospitality Management, Год журнала: 2025, Номер 130, С. 104226 - 104226

Опубликована: Май 13, 2025

Язык: Английский

Процитировано

0

Does service innovation reduce customer defection intentions among disappointed customers? A latent growth modeling approach in the hotel sector DOI
Yiyue Zhang, Hong‐Youl Ha

International Journal of Hospitality Management, Год журнала: 2024, Номер 124, С. 103954 - 103954

Опубликована: Окт. 17, 2024

Язык: Английский

Процитировано

1

Emotional arousal: how artificial intelligence-generated content influences tourism decision-making DOI
Sitian Zhu, Meng­meng Song,

Yucong Duan

и другие.

Tourism Recreation Research, Год журнала: 2024, Номер unknown, С. 1 - 12

Опубликована: Дек. 29, 2024

The application of generative artificial intelligence in the tourism industry is deepening and playing a key role enhancing personalized services. However, there are still significant gaps specific studies dealing with subsequent impact on tourists' actual decisions their economic significance. Based prospect theory social theory, this study explores depth effects intelligence-generated content user-generated emotions decision-making process under different goal frameworks. Through series two scenario-based experiments, confirmed previous research that gain-framing more effective stimulating facilitating travel decisions. In addition, further found context use intelligence, loss-framing will obtain emotional arousal potential tourists generation has practical implications for management, highlighting synergies collaboration between human-generated tourism. Designed to help destination management organizations make informed judgments based accurate information, intelligence-based big data analytics better meet preferences needs tourists.

Язык: Английский

Процитировано

1

Do New Luxury Hotel Promotions Harm Member Customers? DOI Open Access

Luyao Zhi,

Hong‐Youl Ha

Sustainability, Год журнала: 2023, Номер 15(10), С. 8385 - 8385

Опубликована: Май 22, 2023

Will customers regret their loyalty to a hotel and look for alternatives if the neglects communicate with them? Empirical research on this question is limited in hospitality literature. To accurately determine direction of future customer behavior, we investigate impact sales promotions switching intention, demonstrating that can dilute loyalty. Using an experimental design study (n = 227) Korea, our findings indicate have no effect intention. In particular, find customers’ paying membership more salient than obtaining free new luxury context, regardless absence or presence promotions. Moreover, show VIP club members tend experience greater intentions online customers. The higher degree regret, sensitive reactions are mixed promotions, leading rapid increase among This expands sale promotion knowledge by offering ample evidence behavior provides sustainable insights managers responding member demands.

Язык: Английский

Процитировано

3