The Elusive Search for Talent: Skill Gaps in the Canadian Luxury Hotel Sector

The luxury segment of the hospitality sector has been growing worldwide. Luxury hospitality is about providing a unique experience for guests, and this type of experience requires having employees who understand the luxury culture and are trained at the highest level. Luxury hotels compete for the best talents, but the current pool of candidates for customer-facing and managerial positions within these establishments is limited. The purpose of this study was to identify skill gaps in Canada’s luxury hotels. Primary data were collected from in-depth semi-structured interviews with twenty luxury hotel managers and analyzed with NVivo 12. Respondents agreed about the skills required for brands to succeed in the luxury market, but they lamented the lack of qualified talents and the difficulty of training and retaining qualified collaborators. The results of the study point to the need to address the luxury skill gap in the hospitality sector, particularly in Canada. Recommendations to address this problem are proposed.

Coping with digital market re-organization: How the hotel industry strategically responds to digital platform power

How do organizations in a sector where powerful platforms have emerged cope with the new constraints and opportunities that platforms induce? A growing number of studies highlight the power of digital platforms to re-organize markets and thereby create new forms of dependence. But there are also indications that organizations are capable of countering platform power especially by demanding their regulation. This paper expands this view to investigate also strategies at the organizational level. It draws on the algorithmic game studies of strategic responses to environmental changes to study how organizations strategically respond to the rise of digital platforms. To show organizations’ capacities to cope with the new digital market environment, we use a qualitative case study of the Swiss hotel sector and its reactions to so-called online travel agencies, based on interviews with hotel managers and professional representatives. We distinguish between three types of hotels—small family-run, luxury, and chain hotels, and identify three types of strategic responses: bypassing, optimizing, and mitigating. Contrary to a platform power perspective, we find some evidence for organizations’ capacity to keep platforms at bay, by limiting dependence through mitigation, and platforms’ reach through bypassing. Hotels also learn to “play the algorithmic game” and take advantage of platforms’ technological affordances, but such strategies seem to accommodate platform power rather than countering it. Finally, we find that hotels with fewer resources (small family-run hotels) are less equipped to counter platform power, suggesting that platforms risk fostering existing hierarchies and segmentation in markets.

Exploring Bidirectional Performance of Hotel Attributes through Online Reviews Based on Sentiment Analysis and Kano-IPA Model

As people increasingly make hotel booking decisions relying on online reviews, how to effectively improve customer ratings has become a major point for hotel managers. Online reviews serve as a promising data source to enhance service attributes in order to improve online bookings. This paper employs online customer ratings and textual reviews to explore the bidirectional performance (good performance in positive reviews and poor performance in negative reviews) of hotel attributes in terms of four hotel star ratings. Sentiment analysis and a combination of the Kano model and importance-performance analysis (IPA) are applied. Feature extraction and sentiment analysis techniques are used to analyze the bidirectional performance of hotel attributes in terms of four hotel star ratings from 1,090,341 online reviews of hotels in London collected from TripAdvisor.com (accessed on 4 January 2022). In particular, a new sentiment lexicon for hospitality domain is built from numerous online reviews using the PolarityRank algorithm to convert textual reviews into sentiment scores. The Kano-IPA model is applied to explain customers’ rating behaviors and prioritize attributes for improvement. The results provide determinants of high/low customer ratings to different star hotels and suggest that hotel attributes contributing to high/low customer ratings vary across hotel star ratings. In addition, this paper analyzed the Kano categories and priority rankings of six hotel attributes for each star rating of hotels to formulate improvement strategies. Theoretical and practical implications of these results are discussed in the end.

THE STRATEGIC CHOICES IN ACHIEVING TOURISM'S COMPETITIVENESS AND PERFORMANCE AMONG HOTELS IN INDONESIA

The current debate between external strategy and a resource-based approach as a driver of competitiveness is rarely investigated in a developing region. This study investigates whether an external focus or a resource-based strategy is better for leveraging the hotel industry's competitiveness and performance in a developing area in Indonesia. The authors obtained saturated responses from 204 managers and analyzed them with PLS-SEM's two-stage and repeated indicator approach while interviewing some of them. This study developed a formative model in PLS-SEM as a better method for investigating an organization's performance than a reflective approach. Quantitative analysis revealed the resource-based view as a better basis for supporting hotels' competitiveness and performance; however, the interview revealed considerable concerns over arising externalities. This paper suggests that hotel managers improve their internal core competence instead of wasting resources and worrying about external issues.

The role of key online reviews in affecting online hotel booking: an empirical investigation

Purpose The importance of online reviews on online hotel booking has been widely acknowledged. However, not all online reviews affect consumers equally. Compared with common online reviews, key online reviews (KORs) have a greater influence on consumers' decisions and online hotel booking. This study takes the first step to investigate the factors affecting the identification of KORs and the role of KORs in online hotel booking.Design/methodology/approach To test the research hypotheses, this study develops a crawler to obtain 551,600 online reviews of 650 hotels in ten representative large cities in China. This study first uses a binary logistic regression to identify KORs by combining review content quality and reviewer characteristics and then uses a log-regression model to investigate the role of KORs in online hotel booking.Findings This study mined the factors affecting the identification of KORs by analyzing review contents and reviewer characteristics. Our results revealed that KORs play a mediating role in the effects of review content and reviewer characteristics on online hotel booking.Originality/value This study focuses on KORs, which have received limited attention in research but are important to practitioners. Specifically, this study investigates the antecedents and consequences of KORs. Our results enable hotel managers to manage online reviews effectively, particularly KORs.

The impact of marketing agility on crisis management stages at five and four-star hotels in Jordan

This paper aims to examine the impact of marketing agility on decision-making during crisis management stages in five-star and four-star hotels in Jordan. The study included 71 top management staff members from Jordan’s five- and four-star hotels. A questionnaire was designed and utilized to collect the data on marketing agility and crisis management at four and five-star hotels in Jordan. A total of 213 questionnaires were distributed, and 187 useable responses were returned, which resulted in an 86% response rate. Results show that marketing agility plays a significant role in decision-making during crisis management stages. The analysis revealed that marketing agility affected the five stages of crisis management with mixed levels. The findings show that accessibility, decisiveness, swiftness, and flexibility have an immense impact on crisis management stages, while the alertness dimension result shows a weak impact on crisis management stages except for containment. Hotel managers are recommended to emphasize enhancing coordination and integration internally with different managerial levels and units and with external partners to boost information exchange. In addition, it will help promote learning orientation amongst hotel staff to handle the fast-changing environment.

Voice assistants in hospitality: using artificial intelligence for customer service

Purpose Voice assistants (VAs) empower human–computer interactions by recognising human speech and implementing commands pronounced by users. This paper aims to investigate VA-enabled interactions between hotels and guests in the hospitality context. The research positions VAs within the artificial intelligence (AI)-enabled Internet of Things (IoT) context, disrupting old practices and processes. Smart hospitality uses VAs to support effortless value cocreation for guests cost-effectively. The research examines consumer perceptions and expectations of hospitality VAs and explores VA capabilities through expert technology providers. Design/methodology/approach This empirical paper investigates the current use and future implications of VAs for hotel environments. It uses qualitative, semi-structured in-depth interviews with 7 expert hospitality VA technology providers and 21 hotel guests who have VA experience. The research adopts a demand and supply approach, addressing the VAs in hospitality holistically. Findings The findings illustrate the requirements from both end-users’ sides, hotels and guests, exploring VA advantages and challenges. The analysis demonstrates that VAs increasingly become digital assistants. VA technology helps hotels to improve customer service, expand operational capability and reduce costs. Although in its infancy, VA technology has made progress towards optimising hotel operations and upgrading customer service. The study proposes a speech-enabled interactions model. Research limitations/implications This research stimulates the transformation of hospitality services by using VAs and the development of smart hospitality and tourism ecosystems. The study can benefit from further research with hotel managers, to reflect hoteliers’ points of view and investigate their perception of VAs. Further research can also explore different aspects of consumer–VA interaction in different contexts. Practical implications The paper makes a significant contribution to hospitality management and human–computer interaction best practices. It supports technology providers to reconsider how to develop suitable technology solutions towards improving their strategic competitiveness. It also explains how to use VAs cost-effectively and profitably while adding value to travellers’ experience. Originality/value VA studies are often focussed on the technology in private households, rather than in commercial or hotel spaces. This paper contributes to the emerging literature on AI and IoT in smart hospitality and explores the acceptance and operationalisation of VAs. The research contributes to the conceptualisation of VA-enabled hotel services and explores positive and negative features, as well as future prospects.

Role of affective forecasting in customers’ hotel service experiences

Purpose Research on the role of affective forecasting in hotel service experiences is in its infancy, and several crucial questions remain unanswered. This study aims to posit that affective forecasting is a significant antecedent of customers’ affective reactions during a hotel stay. The authors investigate how customers’ service quality expectations influence their affective forecasting and how customers’ affective forecasting before an upcoming hotel service experience influences their affective reactions during the hotel service experience. Design/methodology/approach The authors collected data through online questionnaires distributed among 634 US adults who had stayed at a hotel within the past month. Findings The results show that: service quality expectations influence affective forecasting; affective forecasting influences affective reactions; service quality expectations influence perceived service quality, thereby influencing affective reactions and affective reactions and service quality perception influence electronic Word-Of-Mouth intentions. Practical implications The study suggests that hotel managers should identify what hotel performance attributes customers value most and depict how these attributes elicit positive affective reactions in advertising to influence customers’ purchase decisions. Originality/value This is one of the few studies to investigate the antecedents and consequences of affective forecasting in hotel service experiences.