Hotel Preferences Research Articles

The role of the use of social media in hotel preferences of tourists in Turkey: a case of winter tourism

ABSTRACT The research aims to determine the role of social media use by tourists staying in hotels in ski resorts in Turkey in hotel preference. In winter 2022, 1178 valid data obtained by face-to-face survey method from hotel visitors and social media were analyzed using Smart PLS-SEM. As a result of the research, it has been determined that there is a positive and meaningful relationship between the interaction and accessibility features of social media, affecting the trust, perceived usefulness and perceived entertainment levels of the tourists participating in winter tourism in the hotel preference, and tourists’ continuing use of social media in hotel preferences.

The Effect of Electronic Word-of-Mouth Marketing (e-WOMM) on Consumers' Hotel Preferences

The Effect of Electronic Word-of-Mouth Marketing (e-WOMM) on Consumers' Hotel Preferences

A Study on the Differences in Hotel Preferences at the Time of Employment Based on the Personal Characteristics of Hotel Major Students

A Study on the Differences in Hotel Preferences at the Time of Employment Based on the Personal Characteristics of Hotel Major Students

Research on the application of bilateral collaborative algorithm in hotel tourism consumption preference recommendation

SummaryThe continuous expansion of the domestic tourism market has driven the development of the hotel related industry. It is a key focus of the hotel industry to provide accurate supporting services to tourists based on their preferences. However, the current recommendation model mainly considers tourist factors and lacks consideration for hotel factors. In order to address the concerns of recommendation services, a bilateral collaborative recommendation model is proposed, which first analyzes tourist feature data through comprehensive similarity calculation. Firstly, the comprehensive similarity calculation is used to analyze tourist feature data, and the K‐means Clustering Algorithm (K‐means) is introduced to improve the clustering effect between data. And to better distinguish tourist preferences, the Gale Shapley (G‐S) bilateral matching model is introduced to achieve preference matching of consumer features. In the Mean Absolute Error (MAE) analysis of the model, the User‐based Collaborative Filtering (UBCF) model performs the worst. When the k value is 90, the minimum MAE value is 0.7896. The Item‐based Collaborative Filtering (IBCF) model is 0.7776, with the best performance being the improved G‐S model of 0.7325. In the performance testing of three models' preference recommendations, the improved G‐S model achieves an accuracy of over 90% in all three types of feature data recommendations, with the lowest accuracy of 62.5% for UBCF and 71.3% for IBCF. It can be seen that the proposed improved G‐S model can accurately identify tourist and hotel preference data and accurately recommend corresponding projects. The research content provides important technical references for the digital transformation and development of the tourism industry.

Sharia hotel preferences among tourists in Bogor City: Factors and insights

Purpose: The objective of this study is to examine the factors influencing consumer demand for Sharia hotel services in Bogor City and their characteristics to provide invaluable guidance for related parties. Research Methodology: This study employs descriptive and multiple regression analyses using data collected from Sharia hotel consumers in Bogor City using a convenience sampling technique with 59 samples. Results: The results show that consumers of Sharia hotels in Bogor City use conventional hotel services more often than Sharia hotels. The factors influencing tourists’ use of Sharia hotel services in Bogor City are the relative prices of Sharia hotels to conventional hotels, knowledge, religiosity, service quality, and facilities owned by Sharia hotels. Limitations: The study is geographically confined to three specific Sharia hotels in Bogor City: Sahira Hotel, Sahira Butik Hotel Bogor, and Sahira Butik Hotel Pakuan, which may not be representative of sharia hotels in other regions. Contributions: Offers insights into consumer behavior in Bogor City's Sharia hotel sector, aiding future business and policy decisions in halal tourism.

Sharia hotel preferences among tourists in Bogor City: Factors and insights

Purpose: The objective of this study is to examine the factors influencing consumer demand for Sharia hotel services in Bogor City and their characteristics to provide invaluable guidance for related parties. Research Methodology: This study employs descriptive and multiple regression analyses using data collected from Sharia hotel consumers in Bogor City using a convenience sampling technique with 59 samples. Results: The results show that consumers of Sharia hotels in Bogor City use conventional hotel services more often than Sharia hotels. The factors influencing tourists’ use of Sharia hotel services in Bogor City are the relative prices of Sharia hotels to conventional hotels, knowledge, religiosity, service quality, and facilities owned by Sharia hotels. Limitations: The study is geographically confined to three specific Sharia hotels in Bogor City: Sahira Hotel, Sahira Butik Hotel Bogor, and Sahira Butik Hotel Pakuan, which may not be representative of sharia hotels in other regions. Contributions: Offers insights into consumer behavior in Bogor City's Sharia hotel sector, aiding future business and policy decisions in halal tourism.

Hotel Preferences of Customers in the Lens of Fear of Covid-19

The effect of service quality elements that change with the epidemic on the fear of the epidemic and fear of covid 19 on hotel preferences has been examined in the study. Data were collected from 404 participants. According exploratory factor analysis results three main dimensions are determined namely contact, contagion and food & service. The model was tested using the structural equation model. As a result of the SEM analysis, participants attach great importance to the contagion dimension. No significant relationship was found between the hotel preference elements, contact and food-service, and the fear of Covid-19. Another important finding of the study is that fear of Covid-19 has a negative and significant effect on hotel preference intention.

How eco-certificate/effort influences hotel preference

Pro-environmental accommodation options (e.g., hotels) are integral to sustainable tourism development. However, little is known about how the presentation of eco-information influences tourists' decisions. Across five studies that deployed mixed methods, we find that two types of information presentation for eco-hotels (outcome: eco-certificates vs. process: eco-efforts) and tourists' cognitive decision habits (entity vs. incremental) interactively influence the evaluation of eco-hotels. More specifically, those with entity (vs. incremental) decision habits would prefer a pro-environmental hotel that is described in terms of eco-certificates (vs. eco-efforts). Furthermore, we show that the perceived difficulty associated with the attainment of the eco-certificates moderates the influence of eco-information on pro-environmental hotel preference for those with incremental decision habits. The results of this research suggest that hotels may target their pro-environmental features (eco-certificates vs. eco-efforts) to different market segments (e.g., age, solo/group travel, and culture) to increase evaluation and preference.

Exploring the Effects of Social Media Influencer on Consumers Hotel Decision in China

Accompany with fast-pace development of technology, people start to use social media for travel information, while companies also invest at social media influencer advertisement for better revenu. As the number of media user search tourism content on social media platform consisten increase, influencer advertisement market effects of consumer behaviour is inevitable, however, most of previously research are only focus on general effects, the specific aspect research like effects on hotel is rare been done. Because the research topic is rare been research, this essay use qualitative method, obsevation and focus group as research method. The focus group result naturally points out that social media influencer did affect consumers hotel preference, but it did not create new general factor that vital for judge hotel experience and hotel selection, most of the media user only take influencer generated tourism content as one of the reference source, they will make independent decision after crtical compare between different resource. Furthermore, there are two suggestion of commercial decision and consumer decision at the end of the essay, which suggest hotel focus on quality control first, then invest at truthful advertisement, and consumer need to develop ability of indentify fake or exaggerate social media influencer tourism content.

EVALUATION OF THE FACILITIES AND GUEST RATINGS OF STARRED AND BOUTIQUE HOTELS IN TERMS OF CHILD-FRIENDLY FEATURES

Considering that children are influential in consumer purchasing decisions, hotel preferences of families with children, emerge as a subject that needs to be investigated. Turkey, which has a very rich and diverse structure in terms of climate, nature, history and culture; has the same richness and diversity in terms of hotel enterprises. In general, starred hotels as holiday villages and resort hotels built on larger areas and boutique hotels with smaller and unique architecture offer options for families with children. The aim of this study is to reveal the features of starred hotels and boutique hotels in terms of their facilities for families with children and the ratings made by the guests. In the study, starred hotels and boutique hotels in Etstur with facilities for children were selected and these hotels were evaluated in accordance with the purpose of the study. The findings that emerged as a result of the evaluations were interpreted in terms of theory and practice.

Switzerland? The Best Choice for Accommodation in Europe for Skiing in the 2023 Season

The study investigates the connections between tourists‘ hotel preferences and distance from resort expressed in meters, distance from ski lift expressed in meters, booking score, number of reviews, room type, feature of free cancellation, price expressed in Euro, type (private host/hotel), destination (ski-to-door access/travel sustainable property) from 10 highly appreciated European ski locations offered in from February 2023 by Booking, using a sustainable, electronic instrument for collecting and analyzing a large amount of data, Octoparse 8 and a multi-attribute decision model. Previous studies concerning tourist preferences and online behavior used traditional methods, such as questionnaires and surveys, being limited to a certain number of questions and respondents; thus, this study covers a research gap in the literature with regard to the use of a large amount of data, electronic instruments and multi-attribute models to rank the hotel locations, which derives from the difficulty in obtaining the necessary data to carry out an in-depth analysis. The results show that when selecting a hotel location from an exclusive ski resort, the tourists are interested in the number of reviews, the price and the distances from the resorts to the ski slopes, while the booking score is less important. This is translated into practical implications for marketers and hotel managers, presented at the end of the paper.

Consumer ethnocentrism influence in choosing a hotel in domestic tourism – evidence from Romania and Croatia

Purpose: The role of consumer ethnocentrism (CE) in choosing a hotel is still not well explored. This research aims to identify if there is a relationship between CE and the preference of Romanian/Croatian respondents for a hotel belonging to a domestic chain vs. international (foreign) chain. Methodology: Exploratory and descriptive research was performed. The data were collected thorough an online survey, aiming for a quota sample stratified by age and gender. The resulting sample comprises 714 and 832 valid questionnaires in Romania and in Croatia, respectively. Factor analysis, nonparametric correlation analysis, and hypothesis testing were performed. Results: “Defensive patriotism” and “protectionism” were identified as CE factors. CE is moderately expressed for Croatian and Romanian respondents. Respondents from two countries with higher CE factors prefer a national rather than an international hotel. Customers who grew up in the communist era have higher ethnocentrism scores on defensive patriotism and protectionism and prefer national hotels more than those formed in the post-communist period. Conclusion: The results of this research relate to the previously revealed regularity that ethnocentric consumers prefer buying national rather than foreign goods and services. The same is now confirmed for respondents’ hotel preferences when engaging in domestic tourism, contributing to closing a research gap. However, the results indicate that polycentric consumers might evaluate hotels by other criteria and not necessarily by their association with an international chain. In addition, in the case of re-checking post-COVID-19 results, the results presented here can serve as a pre-COVID-19 baseline.

소셜 빅데이터를 활용한 코로나 19 전후 호텔 공간 소비 특성의 변화 - 인스타그램 해시태그의 의미 네트워크 분석을 중심으로 -

This study aims to compare the hotel space consumption of Generation MZ before and after COVID-19 through the analysis of Instagram posts. After the outbreak of COVID-19, various offline spaces, especially hotels, are facing a crisis from a considerable decrease in tourists. In addition, the COVID-19 pandemic has changed consumption behavior and hotel preferences. As this “new normal” is expected to continue to evolve even after the pandemic eases, it is important to analyze the changes in customers’ hotel consumption behavior with the outbreak of COVID-19. To do so, this study adopted an approach utilizing social big data. A Python web crawler was developed using several open-source libraries. The dataset was prepared from a total of 41,743 posts, including 24,163 posts written 1.5 years before the COVID-19 outbreak and 17,580 posts written 1.5 years after. From these posts, 49,135 and 31,764 different hashtags, respectively, were analyzed using frequency analysis and semantic network analysis. The results demonstrated that the consumption of hotel space has changed. First, the hocance (hotel+vacance) trend, referring to staying in guestrooms, has grown while the number of travelers has drastically decreased. Second, self-expression and showing-off consumption behavior has decreased. Accordingly, public spaces such as lobbies and lounges used for ostentatious consumption have been integrated with food and beverage facilities such as cafes, and the importance of multi-purpose halls seems to be further strengthened. Finally, the importance of traditional amenities has weakened, while that of experiential content has grown. For hotels to appeal to customers, including Generation MZ, in the future, this study proposes a complex hotel that can flexibly change its existing functions and structures. The information and knowledge gained from this study will contribute to planning a hotel space for the COVID-19 era.

An analytical approach for big social data analysis for customer decision-making in eco-friendly hotels

Sustainable tourism is an emerging trend around the world. Eco-friendly (green) hotels are environmentally friendly properties that are becoming more popular among green travellers. Electronic Word-of-Mouth (e-WOM) is a method of communicating with customers to share their experiences and is a powerful marketing tool for hotel marketing. This paper investigates the role of online reviews of eco-friendly hotels for preference learning using multi-criteria decision-making and machine learning techniques. We develop a new method using multi-criteria decision making, supervised and unsupervised learning techniques. The Expectation-Maximization (EM) algorithm is used as an unsupervised learning technique to cluster travellers’ online reviews. We use the Higher-Order Singular-Value Decomposition technique along with a similarity measure to find the most similar customers based on their preference. To predict travellers’ preference for eco-friendly hotels, we employ a neuro-fuzzy system, the Adaptive Neuro-Fuzzy Inference System, as a supervised learning technique. To select the most important criteria, we use the entropy-weight approach in each segment. Several experiments were performed on the collected data from the Czech Republic's eco-friendly hotels on the TripAdvisor platform. The results demonstrated that the hybrid approach is effective for customers’ segmentation, and preference learning and prediction in eco-friendly hotels.

Mindfulness and pro-environmental hotel preference

This research investigates the effect of mindfulness on pro-environmental hotel preference. The results of six studies demonstrate that both trait mindfulness and temporary states of mindfulness increase tourists' preferences for pro-environmental hotels. Further, we show that the effect of mindfulness on the preference for a pro-environmental hotel is due to a reduction in the influence of materialism. Mindful tourists are less materialistic, which makes them more likely to choose pro-environmental hotel options. Our study offers important insights regarding the role of mindfulness within tourists' preferences for environmentally friendly options.

Perceived risk and booking intention in the crisis of Covid-19: comparison of tourist hotels and love hotels

ABSTRACT The Covid-19 pandemic has presented a range of economic consequences for the tourism industry. Notably, this has been striking mainly because of the rising fear toward public places and travel avoidance. Vietnam has one particular market segment – love hotels – and these hotels have not suffered as much as the overall hotel industry. Applying Structural Equation Modelling (SEM), and robustness test using Woodside's Accurate case outcome modeling (ACOM) of 2019 the study here confirms that: (i) Covid-19 knowledge increases conventional customer’s perceived risk; (ii) Perceived risk (before and after Covid-19) have a negative effect on hotel booking intention; (iii) risk perception and booking intention of customers in two hotel types differ significantly, in which there is a preference for love hotels. Despite love hotels' remarkable market value, the academic attention to this special business model, has to date, been little researched. This research contributes evidence of asymmetric perceived physical risk as well as booking intention of the two market segments namely, tourist and love hotels.

Tourists approaches to eco-friendly hotels and determination of green hotel preferences: The case of Eskişehir

The aim of this study is to determine how eco-friendly applications have an impact on the purchasing behaviour of tourists and hotel preferences. In this context, the related data was obtained from 408 participants. T-test was applied in order to determine the impact on the purchasing behaviour of tourists and hotel preferences. As a result of the analysis, it is determined that the majority of the tourists are sensitive about the environment by taking into account eco-friendly hotel accommodation preference and eco-friendly hotels are pioneer in developing new technologies, high qualified, happy to stay in eco-friendly hotels, and eco-friendly hotels evoke nature. Also, it is found that eco-friendly hotels evoke health and wellness. These findings provide an insight into literature and new directions and suggestions for marketing organizations and business managers.

Main Characteristics of Incoming Travel Packages in Romania. Study Case: Tours Including Cluj-Napoca

"Main Characteristics of Incoming Travel Packages in Romania. Study Case: Tours Including Cluj-Napoca. The main purpose of this study is analyzing the features of tourist packages (tours) created and marketed by tour operators to foreign tourists visiting one of the main cities in Romania, Cluj-Napoca. The secondary objectives are identifying the characteristics of the travel packages, the features of tourists’ stay in Cluj-Napoca and the presence of this travel destination in tourist products. Thus, the focused territory is the city of Cluj-Napoca. Nevertheless, we analyzed the whole tourist package, in order to place the stay in this travel destination in the general context. An analysis grid was designed, choosing the proper variables. Data was collected by content analysis of the description of tourist packages existing on the websites of the incoming travel agencies in Romania. 394 tours of at least 2 overnights, 8 tours with one overnight and 45 one day trips could be found and analysed. Information was found regarding aspects such as: length of stay, access and chosen means of transportation, accommodation type and meals included, the extent to which tour guiding services are included and other services, facilities and activities provided. Collected data was processed, graphs were created and analysis and interpretation of results was performed. We opted to use Microsoft Excel to create the table of the analysis grid where data regarding the chosen variable was introduced and the graphs were created in the same program. For tours with at least 2 overnights, there are tours including 7 overnights in Romania and only one night or without overnight in Cluj-Napoca, plane to arrive in Romania and road access to Cluj-Napoca, preference for hotels, half-board for meals, tour guiding services for the whole circuit and few activities, facilities and other services included. Also, there are few one-day trips or trips with one overnight and they provide especially transportation, accommodation, meals and tour-guiding, being provided few and poor diversity of other activities, services or facilities. Keywords: incoming tourism, tourist packages characteristics, travel destination, Romania, Cluj-Napoca. "

Preference for robot service or human service in hotels? Impacts of the COVID-19 pandemic.

Robots and artificial intelligence (AI) technologies are becoming more prominent in the tourism industry. Nowadays, consumers are faced with multiple options involving both human and robot interactions. A series of experimental studies were implemented. Four experiments demonstrated that consumers had a more positive attitude toward robot-staffed (vs. human-staffed) hotels when COVID-19 was salient. The results were different from previous studies, which were conducted before the COVID-19 pandemic. Since the moderating role of perceived threat in consumers' preference for robot-staffed hotels was significant, the respondents' preference was attributed to the global health crisis. This research provides a number of theoretical and managerial implications by improving the understanding of technology acceptance during a health crisis.

Customer Satisfaction Model

In the service industry, one of the main challenges is to provide customer satisfaction. Though the number of budget hotel in Bangladesh is increasing, but customer satisfaction of these hotels are still ignored. The aim of the study is to identify the determinants that satisfy the customers in these hotels. The research targeted a total of 350 selected respondents from different budget hotels in Bangladesh. The descriptive analyses were conducted by using Amos SPSS 24. Findings reveal that price is the ultimate preference for budget hotels along with products and service quality for satisfying customers. Customers are unconcerned with the services provided by the hotel staff and the location of the hotel as well.