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This paper identifies and models the effect of eight attributes that influence hotel room rents in India. These attributes are conceptually grouped into three factors: (1) site factors including the presence or absence of a “swimming pool,” “free breakfast,” and the “hotel capacity”; (2) situational factors including, “distance from the airport,” “weekend/weekday,” “city population,” “cost of living”; and (3) a reputation factor indicated by “star rating.” Our regression model uses secondary data collected from a hotel booking website for 570 hotels across 18 cities of India. The results indicate that six out of these eight variables namely, presence of swimming pool, free breakfast, hotel capacity, distance from the airport, city population, and hotel star rating have a significant impact on hotel room rents in India.

The importance of diversification and innovation in strengthening of global competitiveness has been emphasized in both tourism and local development literature. The aim of this chapter is to define the factors (company type, company size, intra-industry investments, collaboration with other companies, and associations) that influence the product- and service-diversification of hotels. This chapter addresses the diversification and innovation strategies of hotels, not only in the light of tourism literature, but also of local development literature, and it provides empirical evidence based on a company-level survey. The findings of the study show that company type, company size, sector-specific knowledge (intra-industry investments and experience of hotel workers), and collaboration with other companies and institutions matter for product- and service-diversification of hotels.

Millions of ratings and reviews about products are available on the Internet for free, and they are used by academic researchers in the tourism sector. Data from websites like TripAdvisor are replacing or complementing traditional questionnaires and interviews. The authors are proposing a methodology to estimate the percentage accounted for by the sample of self-interviewed individuals over the total study population, in order to calculate the reliability of the results obtained. Average percentages obtained for hotels cannot be easily generalized due to the high dispersion in participation rates among hotels, even in the same city. Participation levels for tourist attractions are substantially lower than those for hotels and are likely biased, due to the fact that some tourists evaluate places without actually visiting them, merely after viewing them from the outside.

Application of technology and meeting accessibility requirements of guests are two essential areas to consider and improve in order to facilitate, ameliorate and accelerate the management of hospitality services furnished by hotels. These two trends carry great importance for competitivity of hotels' services and sustainability of tourism industry. They are two distinguishing characteristics that build a positive perception of hotels' image among its rivals.

This chapter aims to reflect the current level of conformance of the hotels' services to the Sustainable Development Goals (SDGs) for tourism, specifically, SDG 11 related to accessibility and SDGs 9, 12 and 13 related to technology. A qualitative research is conducted to find out the commitment and awareness levels of the hotel staff at managerial positions to the accessibility and technology requirements in line with the mentioned SDGs. The representatives of city centre hotels of İzmir, Turkey with three, four and five stars and boutique hotels categories are chosen as the target population. The results obtained via content analysis signal that the extent of conformity of hotels to technology and accessibility requirements in line with the adoption of the related SDGs depend on the creation of practical solutions on the educational, legal and managerial perspectives. The chapter contributes to academic literature in tourism management and brings suggestions for tourism practitioners to adapt and improve their services to meet the standards and requirements of SDGs related to accessibility and adoption of technology in hospitality services.

Art hotels are increasingly providing an opportunity for creative artists to exhibit their artworks and collections within their premises. This research investigates how some hotels are transforming themselves into important cultural tourism centers. Specifically, its objectives are: (i) to better understand the extent to which travelers are aware about the existence of art hotels and to evaluate their level of interest in art-oriented initiatives; (ii) to determine which attributes and features of art hotels are appreciated by travelers; and (iii) to identify the type of travelers who are willing to stay in art hotels. The findings from a descriptive survey suggest that the incorporation of art into the hospitality industry can attract a diverse customer base and could result in a sustainable competitive advantage for hotels. This study identifies four types of travelers including: Art-Infused Travelers, Art-Seeking Travelers, Art-Indifferent Travelers, and Art-Blind Travelers. These prospective tourists were categorized according to their level of awareness and interest in art hotels and art-related experiences. In conclusion, this contribution implies that artification processes within the hospitality industry can add value to the cultural tourism market. Hence, it also advances future research avenues to academia.

Budget hotels are becoming an emerging industry for convenience and affordability, where consumer sentiments are of paramount importance. Tourism has become increasingly dependent on social media and online platforms to gather travel-related information, purchase travel products, food, lodging, etc., and share views and experiences. The user-generated data helps companies make informed decisions through predictive and behavioural analytics.

Design/Methodology/Approach: This study uses text mining, deep learning, and machine learning techniques for data collection and sentiment analysis based on 117,151 online reviews of the customers posted on the TripAdvisor website from May 2004 to May 2019 from 197 hotels of five prominent budget hotel groups spread across India using Feedforward Neural Network along with Keras package and Softmax activation function.

Findings: The word-of-mouth turns into electronic word-of-mouth through social networking sites, with easy access to information that enables customers to pick a budget hotel. We identified 20 widely used words that most customers use in their reviews, which can help managers optimise operational efficiency by boosting consumer acceptability, satisfaction, positive experiences, and overcoming negative consumer perceptions.

Practical Implications: The analysis of the review patterns is based on real-time data, which is helpful to understand the customer’s requirements, particularly for budget hotels.

Originality/Value: We analysed TripAdvisor reviews posted over the last 16 years, excluding the Corona period due to industry crises. The findings reverberate in consonance with the performance improvement theory, which states feed-forward a neural network enhances organisational, process, and individual-level performance in the hospitality industry based on customer reviews.

This chapter explores the cultural interest and needs of Thai group tourists undertaking specific tours. The perspectives of a specialist Thai tour operator in choosing routes and conducting tours for these tourists in Europe provide the basis for the points identified. The special appeal of themes linked to Thai life is emphasized. The development of a group travel itinerary is documented as a pragmatic exercise in matching the expectations and the spending power of the participants with the business goals of the tour provider. The wider pan-Asian implications of the work include the need for a high level of personal care and the necessity to explain and interpret often little understood historical facts.