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This study aims to explore the challenges faced by the tourism and hospitality industry following the COVID-19 pandemic and to propose effective strategies for recovery and resilience of this sector.

The study analysed the challenges encountered by the tourism and hospitality industry post-pandemic and identified key strategies for overcoming these challenges. The study utilised the modified Delphi method to finalise the challenges and employed the Best-Worst Method (BWM) to rank these challenges. Additionally, solution strategies are ranked using the Criteria Importance Through Intercriteria Correlation (CRITIC) method.

The study identified significant challenges faced by the tourism and hospitality industry, highlighting the lack of health and hygiene facilities as the foremost concern, followed by increased operational costs. Moreover, it revealed that attracting millennial travellers emerged as the top priority strategy to mitigate the impact of COVID-19 on this industry.

This research contributes to understanding the challenges faced by the tourism and hospitality industry in the wake of the COVID-19 pandemic. It offers valuable insights into practical strategies for recovery. The findings provide beneficial recommendations for policymakers aiming to revive and support these industries.

The purpose of this paper is to establish a new model of managing human resources in the service industry. The authors aim to raise awareness of the failing effects of human resource management (HRM) so far and indicate possible solutions to long-lasting labour issues.

The authors aim to outgrow the current personnel management concepts by approaching the employment management problem requisitely holistically. By combining the concepts of systems thinking, requisite well-being and social responsibility, the authors aim to introduce a new model for managing human resources. An analysis of the relevant HRM models and a perusal of identified issues concerning labour enabled the development of the new HRM model.

Under-investment in human capital in service industries has resulted in high staff turnover and negative attitudes towards service occupations. Recognition of the need for an improved approach to human resources management brings about substantial changes in the strategic management both on the industry- and the organizational levels.

Research is theoretical with indirect empirical impact. The proposed model will meet the requirements of systems thinking principles as well as socially responsible corporate behaviour.

Improved understanding that human talent and their well-being should be in the centre of business strategies.

The value of the paper is in the raised awareness of the need for more innovative and flexible labour market policies. The proposed model is in accordance with the formal corporate pledge to act socially responsible and can be applied in tourism and hospitality organizations.

This experiment investigates the effect of cultural adaptation by American business people on their trustworthiness as perceived by Chinese Indonesians. The sample consists of 140 Indonesian professionals born and raised in Indonesia, who read one of the four stories that differ in degrees of Americans’ cultural adaptation: none, moderate, high using English, and high using the native (i.e., Indonesian) language. The results show that there is no difference among the four adaptation levels on disconfirmation of the adaptor’s stereo types. The high adaptation using English condition is perceived to be more situationally caused than is the high adaptation using the native language condition, which in turn is perceived to be more situationally caused than is the moderate adaptation condition, and the high adaptation using English condition is perceived to be more situationally caused than is the no adaptation condition. The high adaptation using the native language and the high adaptation using English conditions are perceived to be trustworthier than is the moderate adaptation condition, which in turn is perceived to be trustworthier than is the no adaptation condition; these results contradict the findings of some earlier studies but are consistent with those in the cases of Americans adapting to Thais and Japanese in Pornpitakpan (1998), to People’s Republic of China Chinese in Pornpitakpan (2002b), and to Malaysians in Pornpitakpan (2004). Marketing implications are discussed.

Family businesses (FB), mostly small-sized, dominate the tourism and hospitality industry (THI), especially in the rural areas. While many would have been used to the impact of demand seasonality, it is unknown how these businesses would have survived through the restrictions imposed to contain the coronavirus disease 2019 (COVID-19) pandemic as compared to non-family business (NFB) counterparts. This study aims to determine if there were differences on how family and non-family enterprises in the THI coped with government restrictions.

By subjecting the survey data from tourism enterprises to non-parametric techniques, the authors establish empirical evidence on similarities and differences of coping strategies adopted by FBs and NFBs; their required support from government and their perceptions of a post-pandemic THI.

The analysis revealed that family-owned tourism and hospitality businesses in the Philippines tended to collaborate with other businesses to manage the impact of the pandemic restrictions. Since they hired more seasonal workers prior to the restrictions, they tended to avoid hiring workers during the restricted period. NFBs, on the other hand, that were generally larger in size and more professionally managed with more regular employees, tended to streamline operations for greater efficiency.

The study relied on survey results distributed and collected online. There is an innate bias against those firms that did not have access to the survey links.

The comparative study suggests that interventions to assist firms in the THI should consider the differences in firm ownership as “one size does not fit all.”

The study provides evidence about how environmental factors impact the operations of family firms. Thus, it provides valuable insights for both the academic community and industry practitioners.

This is the first study in the Philippines that was able to capture response of family and non-family firms in the THI during the COVID-19 lockdown.

“The world needs science, science needs women” is the message given by UNESCO in the program for the development of women in science” (UNESCO, 2017). In Vietnam, women’s participation and achievements in scientific research is considered a great and important resource for industrialization and modernization. Even so, are there gender differences in scientific achievement in the social science research institutes in Vietnam? What factors influence the scientific achievement of female social researchers? The answers will be based on data from a 2017 survey with a sample of 756 researchers, of which 77.6% were female. The survey was conducted by the Vietnam Academy of Social Sciences, a leading, ministry-level national center for the social sciences in Vietnam. This chapter analyzed the scientific achievements of researchers through their position as principal investigators of research projects and their publications, and factors that may impact this. Bivariate and multivariate analyses of factors that may affect the scientific achievement of researchers found that gender differences in academic achievement in the social sciences in Vietnam was still prevalent. Female researchers’ scientific achievements were lower than those of their male counterparts. The contribution to science of Vietnamese female researchers was limited by many different factors; the most important were the academic rank of the researchers and gender stereotype that considered housework the responsibility of women.

The relationship between trustees of pension funds and investment managers has been well recognised in invest mentmanagement practice but studies of trust relationship between them are few. This study explores trustworthiness of investment managers as an important factor for trustees in building and developing trust relationship with the investment managers. Case study research method is used togather and analyse data collected from indepth interviews with the trustees. The major research findings of this study shows that (1) trust is an important factor in the relationship between trustees of pension funds and investment managers; and (2) the key factors of trust worthiness of investment managers are determined by their ability, benevolence, integrity, and openness in communication.

The purpose of this paper is to describe a Canadian corporation's implementation and application of a sustainable business operation and model. It is based upon a case study of an International Canadian coffee and donut chain: Tim Hortons.

Data were collected through: extensive publications of corporate documents, observations of actual operations at retail sites and social media sites.

The paper finds that Tim Hortons has clearly made progress toward greater sustainability. However, its program often lacks specificity, particularly in terms of greenhouse gas emissions. Within a visibly and highly polluting industry Tim Hortons sustainability program is a step in the right direction but there are areas in need of improvement.

The findings of this study paradoxically suggest that it is difficult for a company in the fast food industry to truly become sustainable given certain characteristics of the industry (disposal food and beverage containers, and drive‐thrus for example), yet sustainability is also imperative to business success and competitiveness.

Through a detailed examination of Tim Hortons' sustainable business approach the authors delineate a number of areas where the company can improve its sustainability. The paper also discusses areas of difficulty (e.g. drive‐thrus) and areas in need of improvement (e.g. a detailed description of the sources of the company's greenhouse‐gas emissions).

Tim Hortons' sustainability program was only recently launched, and although the motivations behind the program are not discussed, it was not developed in response to any government subsidies or legislation.

The main contributions are as follows. First, the authors methodically analyze the sustainable business approach of a Canadian fast‐food company including but not limited to its value‐added process, driving forces, and purchasing policies. This provides a beginning for others who wish to implement sustainability into an industry not known for its environmental responsibility. Second, the authors suggest ways that Tim Hortons could improve its sustainable business approach. Third, the authors provide a case study of how an iconic Canadian company with revenues over $2.5 billion and nearly 4,000 stores across the globe has begun to implement sustainability into its core strategic approach.

The purpose of this paper is to investigate factors affecting Vietnamese people’s sustainable tourism intention (IN) with extended the theory of planned behavior (TPB).

Preliminary quantitative research was carried out before large-scale formal quantitative research with a sample size of 628 Vietnamese people. Using the partial least squares structural equation modeling method with the SmartPLS tool, measurement and structural models 3.0 were evaluated before testing the research hypotheses about the influence of factors on the IN of sustainable tourism.

This study uses the extended TPB model with original constructs and two additional constructs, travel motivation (TM) and moral reflectiveness (MR), to find out the factors affecting the sustainable tourism IN of Vietnamese people. All hypotheses are accepted, except for the hypothesis about the relationship between TM and attitude toward sustainable tourism. MR has been shown to have a more positive and stronger (insignificant) effect than other factors of the proposed research model on sustainable tourism IN. Thereby, this study contributes both theoretically and practically to policymakers, researchers and tourism enterprises in promoting sustainable tourism IN.

The main limitation of this paper is the deliberate sampling method and targeting the demographic proportion corresponding to the population has lost the randomness of the survey sample.

The findings indicate that state management agencies and tourism enterprises in Vietnam need to pay attention to communication to raise awareness of environmentally oriented tourism and promote the ability to participate in sustainable tourism at a reasonable price as well as the opportunity for easy access and, at the same time, take measures to influence TM and have communication strategies that address the ethical value of participating in sustainable tourism.

To the best of the authors’ knowledge, this paper is the first empirical study to contribute to the existing literature on tourism by integrating TPB constructs with TM and MR to predict sustainable tourism IN.

This study aims to identify how perceived destination social responsibility (DSR) drives destination brand loyalty through a jointly and independently mediated mechanism of cognitive and affective components (e.g. tourist-destination identification, cognitive image, affective image and tourist satisfaction) and to examine the moderating role of individual-level collectivist values in linking perceived DSR and tourist behaviors.

An online survey is conducted to collect the data of 351 domestic tourists visiting an urban tourism destination (e.g. Danang City) in Vietnam. A serial multiple mediation model and moderation model were examined by applying covariance-based structural equation modeling.

This research’s results highlight the leading factors of perceived DSR in the process of forming destination brand loyalty and confirm the vital role of the intermediary mechanism of tourists' cognition and affect during this process. The chain of causal relationships DSR → TDI → CI → AI → TS → DBL confirms the role of perceived DSR as an essential prerequisite factor of DBL, creating a close connection to tourists' cognition and affect and contributing to improving destination brand loyalty. Individual-level collectivist values were found to positively moderate the links between perceived DSR and tourist-destination identification, affective image and destination brand loyalty.

Future research would provide insights into the links between perceived DSR and tourist behaviors by considering moderating variables (e.g. cultural distance and tourist types) and uncovering specific insights into each destination stakeholder's DSR activities.

A new integrated model of destination brand loyalty development is proposed to explore a new path for destination brand loyalty formation through cognitive, affective and cognitive-affective pathways. This moderating stream of examining individual-level collectivist values can make a significant contribution to the extant tourism literature by promoting a more positive tourist perception of DSR, thereby increasing tourists' knowledge, beliefs and emotions and enhancing destination brand loyalty.

Drowsiness is a common cause of severe road accidents. Therefore, numerous drowsiness detection methods were developed and explored in recent years, especially concepts using physiological measurements achieved promising results. Nevertheless, existing systems have some limitations that hinder their use in vehicles. To overcome these limitations, this paper aims to investigate the development of a low-cost, non-invasive drowsiness detection system, using physiological signals obtained from conventional wearable devices.

Two simulator studies, the first study in a low-level driving simulator (N = 10) to check feasibility and efficiency, and the second study in a high-fidelity driving simulator (N = 30) including two age groups, were conducted. An algorithm was developed to extract features from the heart rate signals and a data set was created by labelling these features according to the identified driver state in the simulator study. Using this data set, binary classifiers were trained and tested using various machine learning algorithms.

The trained classifiers reached a classification accuracy of 99.9%, which is similar to the results obtained by the studies which used intrusive electrodes to detect ECG. The results revealed that heart rate patterns are sensitive to the drivers’ age, i.e. models trained with data from one age group are not efficient in detecting drowsiness for another age group, suggesting to develop universal driver models with data from different age groups combined with individual driver models.

This work investigated the feasibility of driver drowsiness detection by solely using physiological data from wrist-worn wearable devices, such as smartwatches or fitness trackers that are readily available in the consumer market. It was found that such devices are reliable in drowsiness detection.