Online Hotel Research Articles

Online Hotel Management System

The Online Hotel Management System is a web-based application designed with React.js for the frontend and Firebase Firestore as the backend database. Utilizing React.js's component-based architecture, the system ensures a responsive and modular user interface, enhancing user experience through efficient state management and virtual DOM rendering. Firebase Firestore, as the backend database, offers real-time synchronization and scalable storage, enabling seamless data management for hotel-related information such as reservations, room availability, and staff management. This system streamlines various hotel operations, including reservation management, guest check-in/check-out processes, billing, and staff scheduling, all accessible through an intuitive and user-friendly interface. By automating processes and reducing manual effort, the system improves overall efficiency in hotel management, catering to both administrators and guests. Through the integration of React.js and Firebase Firestore, the Online Hotel Management System provides a modern and robust solution for hotel administrators to effectively manage their operations and enhance the guest experience. Keywords – Web application, frontend , database, web server.

Faktor-Faktor Yang Mempengaruhi Pelanggan Dalam Pemesanan Kamar Hotel Grand Savero Hotel Bogor Secara Online

Tourists' desire to visit Indonesia needs to be accompanied by ease of accessibility, facilities offered and availability of accommodation facilities. Hotels are a form of accommodation that supports tourism activities, where the availability of hotels becomes a supporting facility for tourists visiting a country. And along with the growth of the world of Indonesian tourism, the history of hotels in Indonesia also plays a role in its success. The existence of hotels in Indonesia is of course very much needed in the tourism industry, considering that without adequate accommodation, it is impossible for tourists to want to visit. Increasing tourist visits is a promising business prospect for investors to set up hotels. This increasing hotel construction is due to an increase in demand for occupancy rates every year. The increase in hotel occupancy rates in all provinces across Indonesia is accompanied by the rapid development of the hotel industry. Apart from that, nowadays society is made easier by increasingly sophisticated technology, this means that tourists who want to travel or travel can do it easily using gadgets. Starting from ordering transportation tickets, accommodation, restaurants and so on. This research was conducted to find out what factors encourage customers to make reservations at the Grand Savero Hotel online. The technique used in this research is the method of filling out a questionnaire. The research results show that there are four factors that encourage customers to make hotel reservations online, namely discounts, convenience, seeing other customer reviews, not being able to come directly to the hotel,
 Keywords: Hotel room reservations, customer decisions, online travel agent

Preparing for Pandemics: Reflecting on the Impact of Strategic Elements in the COVID-19 Influenced Online Travel Agencies' Marketing Mix

The landscape of online hotel booking, particularly through online travel agencies (OTAs), witnessed a transformation during the COVID-19 pandemic. This shift triggered intense competition among OTA marketers. Interestingly, amidst this competitive environment, while causal predictive models exist that focus on moderate to high effects of major features on Price and hotel BI, the strategic impact of minor features has largely been overlooked. To address this gap, a frequency analysis involving a comprehensive sample of 63 OTAs identified four minor features. Subsequently, a partial least squares structural equation modeling approach explored 499 consumers’ perceptions. Two features were shown to be significant (COVID-19 Hygiene Label, Price Discount), with COVID-19 Hygiene Label mediating Price. However, Scarcity and Loyalty Program showed no direct or mediating effects. The model accounted for a strategic 29.8% R2. As COVID-19 is an ongoing recurring issue and preparation for future pandemics is prudent, the results provide valuable insights for OTA app developers aiming to gain additional predictive marginal performance advantages (i.e., .10 or greater). Implications and suggestions for future research are also offered.

Pengaruh Usefulness Dan Ease of Use Terhadap Online Booking Hotel Intention di Platform Agoda

This research is driven by the researcher's observations concerning online hotel booking intention on the Agoda platform. The development of guest visit rates has experienced a significant decline, with fewer guests opting to check in using the Agoda platform compared to other online travel agents. This is influenced by the perceived lack of usefulness and ease of use on the Agoda website. The objective of this study is to describe and analyze the impact of usefulness and ease of use on online hotel booking intention on the Agoda platform. The research methodology employed is quantitative research using purposive sampling, with a sample size of 130 respondents determined using the Hair formula. Data collection in this study utilized a questionnaire with a Likert scale that had been tested for validity and reliability. The collected data was analyzed using multiple linear regression analysis with the assistance of SPSS (Statistical Product and Service Solution) version 27.00. Based on the research analysis, it can be concluded that the independent variables, usefulness (X1) and ease of use (X2), have a positive and significant influence on the dependent variable, which is online hotel booking intention. Usefulness (X1) and ease of use (X2) collectively account for 24.7% of the variance in online hotel booking intention (Y), while the remaining 75.3% is influenced by other variables.

Hospitality Discourse on Social Media: Evaluating Online Complaints and Service Recovery for Luxury Hotels

The number of hotel visitors who post their personal experiences on online hotel review forums after their trips has increased significantly in the digital age. However, there is limited linguistic research that examines 1) how international travelers communicate online to share their negative hotel experiences and 2) how luxury hotel management resolves complaints and regains customer trust. This study examines electronic word-of mouth (eWOM) in the reviews and focuses on posted by international travelers who stayed at Hong Kong's 5-star luxury hotels and e-replies posted by hotel management groups. The data are based on authentic reviews collected from an online travel review forum. The present study employs appraisal analysis (Martin & White, 2005) and specifically the engagement system to investigate heteroglossic voice in 38 sets of complex e-complaints and responses totaling 17,344 words. The findings contribute to the advancement of professional discourse in hospitality service encounters.

Using tourism intelligence and big data to explain flight searches for tourist destinations: The case of the Costa Blanca (Spain)

Tourism intelligence and big data can improve the strategic management of tourist destinations through analysis of the environment. This study aims to explain the flight searches from London and Manchester to the Costa Blanca using variables from big data sources: online hotel satisfaction levels, flight price, hotel price, and temperature. Data for three years (2019, 2020 and 2021) are analyzed and the results are compared. The results show that online hotel satisfaction levels heterogeneously explain flight searches during these years. Hotel price positively explains searches from London. Flight price only influenced searches in 2019. Temperature in outbound destinations is the variable that best explains flight searches. This study contributes to the literature on strategic management of tourist destinations by explaining the potential tourist demand in the early decision-making stages of a trip. We highlight that the explanatory variables do not behave consistently during the years analyzed.

Pengaruh Usefulness Dan Ease Of Use Terhadap Online Booking Hotel Intention Di Platform Agoda

This research is driven by the researcher's observations concerning online hotel booking intention on the Agoda platform. The development of guest visit rates has experienced a significant decline, with fewer guests opting to check in using the Agoda platform compared to other online travel agents. This is influenced by the perceived lack of usefulness and ease of use on the Agoda website. The objective of this study is to describe and analyze the impact of usefulness and ease of use on online hotel booking intention on the Agoda platform. The research methodology employed is quantitative research using purposive sampling, with a sample size of 130 respondents determined using the Hair formula. Data collection in this study utilized a questionnaire with a Likert scale that had been tested for validity and reliability. The collected data was analyzed using multiple linear regression analysis with the assistance of SPSS (Statistical Product and Service Solution) version 27.00. Based on the research analysis, it can be concluded that the independent variables, usefulness (X1) and ease of use (X2), have a positive and significant influence on the dependent variable, which is online hotel booking intention. Usefulness (X1) and ease of use (X2) collectively account for 24.7% of the variance in online hotel booking intention (Y), while the remaining 75.3% is influenced by other variables.

The Impact of Online Negative Hotel Reviews and Merchant Response Strategies on Potential Consumers’ Purchase Intentions: A Perceived Trust Perspective

Based on online negative reviews, the paper explores the influence mechanism of emotional and attributive reviews on potential customers’ purchase intentions. Against the background of online hotel booking, using ability, benevolence, and integrity in perceived trust as intermediary variables, we constructed a two-factor group experiment with 2 (types of online negative reviews) × 5 (merchant response strategies). This study was conducted by randomly recruiting participants from a university, utilizing a questionnaire-based experimental approach. Two hundred fifty valid questionnaires were collected for statistical analysis, including t-test, analysis of variance, and structural equation model. This paper reveals the influence of online negative reviews and merchant response strategies on ability, integrity, and benevolence. It verifies the mechanism of three factors and potential customers’ purchase intention. Concurrently, this study provides crucial inspiration for hotel managers to focus on addressing the service quality issues in the reviews and develop tailored response strategies to enhance customers’ perception and trust.

Analisa Bauran Pemasaran Jasa Hotel Belangi Syariah Takengon

This thesis is the result of research and discussion. The problem identification in this research is what is the marketing mix for the services of the Takengon Belangi Syariah Hotel. And the aim of this research is to determine the service marketing mix at the Belangi Syariah Takengon Hotel. And the benefit of this research is to develop good knowledge and apply the knowledge that has been obtained during the course. Information and references for the Belangi Syariah Takengon Hotel as well as a wealth of knowledge. The scope of this research concerns the analysis of the marketing mix of services at the Belangi Syariah Takengon Hotel. The respondents for this research were the managers and employees of the Belangi Syariah Takengon Hotel, totaling 5 people. This data collection was carried out by observation and interviews. The research results show that in terms of product, the main product of the Belangi Syariah Takengon Hotel is rooms with 5 types, namely family rooms, deluxe rooms, twin rooms, standard double rooms and single rooms. For price, in determining the price of the Belangi Syariah Takengon Hotel, it refers to the facilities, the price is according to its class, namely IDR 300,000 for a single room, standard double room type IDR. 365,000, twin room type Rp. 550,000, deluxe room type Rp. 665,000, and family room for Rp. 800,000. For Place, the location of the Hotel Belangi Syariah Takengon is strategic and very easy to access for consumers who come from outside Takengon. For People, employees provide good, fast, friendly, thorough and accurate service. For Physical Evidence, the Belangi Syariah Takengon Hotel has a 3-story building, the first floor is filled with an AC lobby, smoking area and mini market and there is an ATM machine, the second and third floors are filled with hotel rooms. In the Process, the Belangi Syariah Takengon Hotel service process collaborates with online hotel booking services, such as tiket.com, booking.com, traveloka.com, pegipegi.com and others, and customers can also come by telephone or come in person, method Payment can be made via cash and non-cash. Finally, for Promotion, there are two strategies implemented at the Belangi Syariah Takengon Hotel, namely pull and push strategies that utilize various social media, placing advertisements in mass media, electronic media, as well as trying to be active in government and non-government activities.

Implication of Online Consumer Reviews on Hotel Bookings in the Kingdom of Saudi Arabia

Travellers are increasingly shifting to booking hotels online to save time, minimize costs and enjoy the convenience it brings. In this study, the implications of online consumer reviews were examined to understand how it affects hotel bookings in Saudi Arabia. The study’s constructs were trust, valence, volume, realism and hotel booking intentions. Structural equation modelling and descriptive statistics were used to analyze the results from 400 respondents. It was found that the Saudi Arabian's intentions to trust on online hotel reviews are influenced significantly by the valence and realism of the reviews. The hotel booking intentions are significantly influenced by trust, valence, and realism of the reviews. The volume of reviews did not have a statistically significant influence on trust on the online reviews or the hotel booking intentions. Therefore, the study concludes that the valence, realism, and trust on online reviews are significant in shaping hotel reservation intentions.

Reducing the Bias in Online Reviews Using Propensity Score Adjustment

Online hotel reviews on platforms like TripAdvisor are crucial in shaping customer choices and steering business strategies in the hospitality sector. However, the effectiveness of these platforms is partially hindered by the self-selection bias found in voluntary reviews. This bias can create false expectations and unsatisfactory experiences, mainly as the feedback generally comes from a non-representative group of self-motivated reviewers (SMRs). A common strategy to mitigate this bias is increasing the number of reviews through customer surveys, generating retailer-prompted reviews (RPRs). However, these RPRs, despite reducing selection bias, tend to lack the depth and insight of SMRs, resulting in a credibility gap and reduced representativeness. To address this, our study presents a novel approach using the propensity score adjustment (PSA) technique. This method leverages the distribution of RPRs to refine the accuracy of text data from SMRs, aiming to enhance the reliability and representativeness of online reviews. By combining the strengths of both RPRs and SMRs, we aim to create an online review environment that is both accurate and reliable. In conclusion, this research marks an important step toward improving online review platforms, aiming for a more transparent and trustworthy environment for reviews.

Online Hotel Reservation with High Efficiency

Online Hotel Reservation with High Efficiency

The Role of Brand in Influencing Online Hotel Booking

The Role of Brand in Influencing Online Hotel Booking

Exploring user adoption of online hotel booking platforms: A text mining approach

The growing importance of online hotel booking platforms has revolutionized the hospitality industry, generating new business opportunities and intense competition among service providers This study analyzes user-generated content from online reviews to understand what drives user adoption of online hotel booking platforms. Using topic modeling, categorical principal component analysis, and relative importance ranking, the study identifies key factors like comparison of hotel options and online booking features as crucial for user adoption. Conversely, negative hotel experiences contribute to dissatisfaction. The results offer valuable insights for the hospitality industry, emphasizing the dominance of online booking and price comparison in customer adoption.

Understanding online hotel popularity through empirical approach

Understanding online hotel popularity through empirical approach

Deep click interest network for reranking hotels

Nowadays, e-commerce platforms of hotels have become a new trend to help people book hotels online. Interest modeling aims to automatically construct user interests that are critical for e-commerce platforms. Although interest modeling has achieved noticeable successes in product recommendations, it has not been explored in hotel search, especially in the reranking stage. This paper studies the interest modeling task for reranking hotels, and identifies two key challenges—high behavior sparsity and large interest gap. To address the challenges, we propose the deep click interest network (DCIN). High behavior sparsity keeps us from extracting rich semantics to characterize user interest preference. Accordingly, we propose the deep click concept to model the multi-view semantics of a click and then enrich the semantics of both a single click and a click sequence, so that the difficulty caused by the behavior sparsity can be addressed. To address the interest gap challenge, DCIN models user interests with two cascaded units: (i) Mutual-attention Interest Calibration Unit (ICU), which uses the candidate hotel to calibrate the embedding of every click, since the candidate hotel is selected by the ranking stage and can represent user current interests to some extent. So the gap between the calibrated embedding and user current interests can be diminished; (ii) Multi-attention Interest Aggregation Unit (IAU), which estimates the weight of a calibrated embedding from multiple perspectives, i.e., context, user feedback and interest consistency. So the calibrated embeddings, which are relevant to the current query context and important to the user, dominate user current interests, and thus the interest gap can be further diminished. Offline experiments over two large datasets and online A/B testing over the platform of Meituan-Hotel show that DCIN significantly outperforms the baselines and improved baselines. Notably, DCIN has been deployed in Meituan-Hotel, resulting in an increase of 2.40% in Click Through Conversion Rate (CTCVR) and that of 1.09% in Click Through Rate (CTR).

Hotel BookingIntentions: ALiterature Review

This study aims to review tourism and hospitality management research on online satisfaction, offline satisfaction and booking intentions published in numerous recognised tourism and hospitality journals from 2000 to 2023. This article studied and reviewed 62 published articles that emerged in the past 22 years in selected top 10 tourism, leisure and hospitality journals. Various variables influencing customer satisfaction, that is, online satisfaction and offline satisfaction leading to the intention to book a hotel online, were identified based on the previous studies. A conceptual model is proposed, which can be empirically tested while conducting future studies in the tourism and hospitality sector, specifically with respect to hotel booking intention. This study offers a conceptual framework for the antecedents used to measure online and offline satisfaction while booking a hotel online. The study ascertained information quality, system quality and service quality as independent variables to measure online satisfaction and perceived values like perceived functional value, emotional value, social value, and monetary value as independent variables to measure offline satisfaction. This study provides a detailed literature review on hotel booking intention and variables that influence overall satisfaction, that is, online and offline satisfaction published in specific hospitality and tourism journals over the past 22 years.

The role of user-generated content in tourism decision-making: an exemplary study of Andalusia, Spain

PurposeThis research proposes to organise and distil this massive amount of data, making it easier to understand. Using data mining, machine learning techniques and visual approaches, researchers and managers can extract valuable insights (on guests' preferences) and convert them into strategic thinking based on exploration and predictive analysis. Consequently, this research aims to assist hotel managers in making informed decisions, thus improving the overall guest experience and increasing competitiveness.Design/methodology/approachThis research employs natural language processing techniques, data visualisation proposals and machine learning methodologies to analyse unstructured guest service experience content. In particular, this research (1) applies data mining to evaluate the role and significance of critical terms and semantic structures in hotel assessments; (2) identifies salient tokens to depict guests' narratives based on term frequency and the information quantity they convey; and (3) tackles the challenge of managing extensive document repositories through automated identification of latent topics in reviews by using machine learning methods for semantic grouping and pattern visualisation.FindingsThis study’s findings (1) aim to identify critical features and topics that guests highlight during their hotel stays, (2) visually explore the relationships between these features and differences among diverse types of travellers through online hotel reviews and (3) determine predictive power. Their implications are crucial for the hospitality domain, as they provide real-time insights into guests' perceptions and business performance and are essential for making informed decisions and staying competitive.Originality/valueThis research seeks to minimise the cognitive processing costs of the enormous amount of content published by the user through a better organisation of hotel service reviews and their visualisation. Likewise, this research aims to propose a methodology and method available to tourism organisations to obtain truly useable knowledge in the design of the hotel offer and its value propositions.

Expressive illocutionary acts and politeness in managerial responses to online hotel reviews

This paper explores expressive illocutionary acts in responses to hotel guests' reviews posted on Tripadvisor and aims to compare their occurrences and realizations in 320 managerial responses in English from English and Serbian hotels, with manifestations of linguistic politeness a focus of analysis. Drawing largely on Leech's (2014) framework, it has attempted to determine whether the acts which tend to come in the form of formulaic, routinized expressions occurring in the responses written by hotel representatives with different backgrounds exhibit some differences as a reflection of culture-specific politeness values. The analysis has revealed considerable similarity between the two data sets in the lexico-grammatical realization of expressives and the use of resources for politeness. However, some noteworthy points of dissimilarity have emerged which correlate closely with the differences in cultural value preferences of the two countries in Hofstede et al.'s (2010) dimensions of power distance and of individualism.

Navigating the Digital Landscape: An Analysis of Hotel Booking Websites and Their Impact on Consumer Preferences

In an era where travel has become an integral part of modern life, online hotel booking platforms have revolutionized the travel industry, offering travelers a convenient and efficient way to plan and book accommodations. These platforms have emerged as essential tools, providing a user-friendly and time-efficient alternative for travellers to plan and book accommodations. This study explores customer perspectives on OYO Rooms, Fab Hotels, and Treebo hotels chains. It conducts a comprehensive analysis of the intricate dynamics and functionalities of these hotel booking websites, scrutinizing their services, features, and pricing models. The study unravels the profound influence of these platforms on travel decision-making, highlighting the factors that shape customer preferences and choices.