ABSTRACT
The novel coronavirus (COVID-19) pandemic has caused tremendous fear and uncertainty and affected health, economy, and social life in an unprecedented form worldwide. Yet, the level of knowledge on its economic implications is very limited. Therefore, it is of paramount importance to explain the health, social, and economic impacts of COVID-19. Because the tourism is one of the most affected industries by the pandemic, this study aims to explain the effects of COVID-19 cases and deaths, global fear, and government responses on Turkey's tourism industry. Empirical findings show that the tourism industry reacts negatively to new cases, number of deaths, and global fear measures. Also, government containment and health measures and economic supports positively affect the tourism industry. Furthermore, government stringency policies drive down the tourism industry's performance. The findings of this study provide significant implications for tourism and travel firms, policy makers, and future research.
ABSTRACT
This study investigates the effect of COVID-19-induced uncertainty on the overall stock market and the stock performance of the tourism and hospitality industry and its subsectors utilizing a novel time-varying robust Granger causality test. The results show that the COVID-19 pandemic-induced uncertainty has an adverse impact on the overall economy, tourism and hospitality industry, and subsectors of tourism and hospitality. However, the impact of COVID-19 pandemic-induced uncertainty is more significant in the tourism and hospitality industry and its subsectors. In particular, hotels sector has experienced the largest impact from the COVID-19 pandemic, followed by restaurants and airline sectors, respectively. Research and practical implications are discussed.
ABSTRACT
Purpose: The purpose of this study is to examine the impact of key decision-making attributes on consumers' choice of accommodation among and between hotels and Airbnb. Design/methodology/approach: The study used a choice-based conjoint approach using 21 key decision-making factors that impact consumers' choice of accommodation across five segments ranging from economy to luxury. Latent class estimation was used to identify segments of respondents who tend to have similar preferences for accommodation. Findings: The results showed the presence of a consistent pattern of decision-making across the five accommodation segments, culminating in a hierarchy of importance in accommodation choice. The 21 key decision-making attributes comprised three tiers in order of decreasing importance: quality and service, amenities, and accessibility and safety. Further, latent class analysis indicated the presence of a hotel group and an Airbnb group of customers, which allowed us to identify how both types of providers might maximize the value of their offers to encourage customer switch. Research limitations/implications: The accommodation landscape is extremely dynamic (particularly as the COVID-19 pandemic unfolds) and complex. The present study cannot capture all of its intricacies but provides an invaluable foundation for future research on the topic of consumer choice in an evolving and competitive accommodation market. Originality/value: Extant research on accommodation choice has focused on hotels or Airbnb only. Moreover, research that has considered both types of accommodation simultaneously is limited in its conceptual and methodological scope. The present study synthesizes the fragmented literature on consumers' accommodation choices and offers a holistic and coherent schematic - the hierarchy of importance in accommodation choice - that can be used by future researchers and practitioners alike.
ABSTRACT
High employee turnover is a widely known reality for the hospitality industry. However, the extent to which employee turnover in the hospitality industry depends on overall economic activities or idiosyncratic characteristics of the hospitality industry is not clear. The purpose of this study is to examine the extent to which the employee turnover rate in the hospitality industry is sensitive to the overall US economy. Also, the COVID-19-pandemic has further exacerbated an already convoluted issue of employee turnover for hospitality businesses. Therefore, we further investigate the extent to which employee turnover rate in the hospitality industry are sensitive to the overall US economy during the pandemic period. The results show that employee turnover in the hospitality industry has the highest sensitivity to the economy. However, employee turnover in the hospitality industry decreases the most in the overall US economy when economy-wide turnover increases. The theoretical and practical implications are extensively discussed. © 2023 Elsevier Ltd
ABSTRACT
New studies have constantly been emerging in the field of tourism. However, it is not clear to what extent which study contributes to the literature and tourism application areas. There are a few bibliometric studies that illustrate the intellectual structure of the tourism innovation field. Therefore, the purpose of this study is to determine the performance and intellectual structure of research studies conducted on innovation in the field of tourism. For this purpose, a bibliometric analysis of 387 research studies, which were published over the period 1975–2021 and cited in SCI-EXPANDED, SSCI, A&HCI indexes of WoS, is performed. Co-citation analysis indicates that innovation research studies in tourism can be categorized into three groups: (1) conceptualization and types of innovation in tourism, (2) review research on innovation in tourism, and (3) methodological studies. According to the co-word analysis, sharing economy, open innovation, sustainability, and technology are the most popular topics of recent times. A steady increase is observed in the number of citations to articles in the field of tourism innovation after 2008. The research study has crucial impacts in terms of guiding the researchers who would study in this field and providing the intellectual appearance of the field. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
ABSTRACT
This study investigates the effect of infectious disease uncertainty on hotel room demand covering the period 2005–2020. Also, the extent to which the effect of uncertainty borne by infectious diseases varies across different hotels segments are examined. Furthermore, the latest infectious disease pandemic, COVID-19, was used to test the joint impact of state-imposed restrictions and infectious disease uncertainty on hotel room demand. Using Infectious Disease Equity Market Volatility (EMV-ID) tracker as a proxy for uncertainty, the findings showed that infectious disease uncertainty leads to a decline in state-level hotel occupancy both in the short- and long-run. These results rule out the potential confounding effect of state-level restrictions by demonstrating that EMV-ID accounts for additional variance in hotel demand. Findings also indicate that this negative effect is not uniform across hotel segments;the greater levels of state-imposed restrictions lead to decreases in hotel room demand. Practical and research implications are discussed. © 2022 Elsevier Ltd
ABSTRACT
Tacit knowledge sharing is an essential intellectual capital for frontline employees in hotel enterprises. While the relationship of knowledge sharing with team culture (TC) and innovative work behavior (IWB) was investigated in the extant literature, little is known about the extent to which tacit knowledge sharing affects TC and IWB. In this regard, the purpose of this study is to investigate the role of tacit knowledge sharing in the relationship between TC and IWB. For this purpose, data were gathered from 360 department managers of Turkish 4–5 star hotels. The results were analyzed utilizing Smart PLS 3 using bootstrapping to determine the level of significance of the relationships between tacit knowledge sharing, TC and IWB. The results show statistically significant relationships between tacit knowledge sharing, TC and IWB. Moreover, tacit knowledge sharing has a mediating role in the relationship between team culture and innovative work behavior. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.