Supply chain disruption recovery in the evolving crisis-Evidence from the early COVID-19 outbreak in China.

The speed of recovery from supply chain disruption has been identified as the predominant factor in building a resilient supply chain. However, COVID-19 as an example of an evolving crisis may challenge this assumption. Infection risk concerns may influence production resumption decision-making because any incidents of infection may lead to further shutdowns of production lines and undermine firms' long-term cash flows. Sampling 244 production resumption announcements by Chinese manufacturers in the early COVID-19 crisis (February-March 2020), our analysis shows that, generally, investors react positively to production resumptions. However, investors perceived the earlier production resumptions were higher risk (indicated by declined stock price). Such concerns were exacerbated by more locally confirmed cases of COVID-19 but were less salient for manufacturers with high debts (liquidity pressure). This study calls for a reassessment of the current disruption management mindset in response to new evolving crises (e.g., COVID-19) and provides theoretical, practical, and policy implications for building resilient supply chains.

School Disruptions Exacerbated Inequality in High School Completion

Using school-month-level learning mode data and high school completion rates across three school years from 429 Wisconsin public high schools, this study examines the impact of disruptions to in-person instruction during the COVID-19 pandemic on high school completion rates, with a focus on socioeconomic disparities. Findings reveal that a longer time in virtual or hybrid learning mode in 2020-21 decreases overall school completion rates and increases the within-school gap in completion rates between economically disadvantaged and non-disadvantaged students. This study provides further evidence of the unequal impact of the pandemic and calls for initiatives to support disadvantaged students during school disruptions.

An evaluation of preference stability within MSWO preference assessments for children with autism.

Previous research has commonly evaluated preference stability over time and across multiple preference assessment administrations. No studies have evaluated shifts in preference across consecutive rounds of a single preference assessment, where rounds refer to each time the experimenter resets the stimulus-presentation array. The purpose of the present study was to examine the stability of stimulus selections across successive rounds of a multiple-stimulus-without-replacement (MSWO) preference assessment with different classes of stimuli for children with autism. The study involved a secondary data analysis and calculation of preference stability across consecutive rounds using Spearman rank-order correlation coefficients (Spearman's ρ ) for 17 participants across 40 MSWO preference assessments. Patterns of preference stability were observed in 24 out of the 40 assessments (60%) indicating that children's preferences in this study were slightly more likely to be classified as stable than other observed patterns of responding.

Global Status of Covid-19 Vaccination

Background: Covid 19 vaccination has substantially altered the course of the pandemic, saving tens of millions of lives globally. However, inadequate access to vaccines in low income countries has limited the impact in these settings, reinforcing the need for global vaccine equity and coverage. The present study was aimed to assess the global data of covid 19 vaccination from a secondary data source. Material(s) and Method(s): It is a secondary data analysis of worldwide covid 19 vaccination data obtained from World Health Organization Website. Data updated upto October 2022 on WHO website was collected. Result(s): Variables included name of countries, total vaccinations, total vaccinations per 100, person vaccinated one plus dose, booster dose, booster dose per 100, type of vaccine etc. Afghnaistan reported a total vaccinations of 11951964 till 11-10-2022 whereas India reported vaccinations of 2190969572 till 22 October 2022. Conclusion(s): Total vaccination per 100 in Afghnaistan is 30.702 and for India it is 158.7.

The Impact of Covid-19 Pandemic on Affective Concussion Symptoms in Adolescents

Purpose of Study: Affective symptoms, such as depression, nervousness, anxiety, and irritability, are common yet complicating aspects for concussion patients, therefore addressing exasperations of these symptoms is essential for injury management. This is an especially important consideration for patient populations increasingly susceptible to affective disorders, such as those in rural regions and adolescents. Increases in adolescent mental health problems during the time of the COVID-19 pandemic pose an additional challenge for clinicians managing affective concussion symptoms in rural adolescents. The aim of this study is to quantify the mental health effects of the pandemic by comparing affective concussion symptoms in groups of adolescents with concussion and without concussion in the Central Oregon region. Methods Used: The study is a secondary data analysis of ImPACT Concussion Test symptom scores from a cohort of non-concussed (Baseline) and concussed (Post-Injury) adolescents between the ages of 12-18, pre-pandemic (January 1, 2015 - March 20, 2020) and pandemic (March 21, 2020 - April 1, 2022). Subjects were excluded from the study if they received special education, had a diagnosis of learning disabilities, ADD, dyslexia, autism, or received treatment for headaches, migraines, epilepsy, brain surgery, meningitis, substance use or psychiatric conditions. Prevalence of symptoms of 'headache', 'trouble falling asleep', 'irritability', 'nervousness', 'sadness', and 'feeling more emotional' were noted for each group during each time period. Summary of Results: A total of pre-pandemic non-concussed (n =2667), pre-pandemic concussed (n=643), pandemic non-concussed (n = 593) and pandemic concussed (n=87) were included in the final analysis. There was a statistically significant increase in the proportions of 'nervousness' (p=0.0209) and 'sadness' (p=0.0117) in pre-pandemic and pandemic non-concussed groups. Furthermore, there were statistically significant increases in the proportions of 'headache' (p=0.0331), 'irritability' (p=0.0006), 'nervousness' (p=0.0135), 'sadness' (p=0.0357) and 'feeling more emotional' (p=0.0039) between pre-pandemic and pandemic concussed adolescents. Conclusion(s): This study demonstrates a significant increase in affective symptoms in both concussed and non-concussed groups during the COVID-19 pandemic consistent with other studies. However, those with concussion during the COVID-19 pandemic showed greater number of affective symptoms as well as somatic symptoms (headache) compared to concussed pre-pandemic adolescents. The results of this study support the broader body of research examining the mental health burden of the COVID-19 pandemic on adolescents, and further encourages a biopsychosocial approach to injury management, in which social and emotional components of a patient's life are considered.

Two Years Later: How COVID-19 Has Shaped the Teacher Workforce

The unprecedented challenges of teaching during COVID-19 prompted fears of a mass exodus from the profession. We examine the extent to which these fears were realized using administrative records of Massachusetts teachers between 2015–2016 and 2021–2022. Relative to prepandemic levels, average turnover rates were similar going into the fall of 2020 but increased by 17% (from 15.0% to 17.5%) going into the fall of 2021. The fall 2021 increases were particularly high among newly hired teachers (31% increase) but were lower among Black and Hispanic/Latinx teachers (5% increases among both groups). Gaps in turnover rates between schools serving higher and lower concentrations of economically disadvantaged students narrowed during the first 18 months of the pandemic. The same holds true for gaps in turnover between schools serving higher and lower shares of Black and Hispanic/Latinx students. Together, these findings highlight important differences in teachers' responses to the pandemic across subgroups and the need to improve early-career retention to ensure long-term stability within the teacher workforce.

Typical coping patterns: A person-centered approach to coping

Applying the person-oriented approach to coping can provide a unique perspective by revealing typical latent patterns. The study examined typical latent patterns shown by task-, emotion- and avoidance-oriented trait-based coping styles. We performed secondary analyses with Latent Profile Analysis on our former data and three independent datasets containing coping measures with the CISS-48 scale (Endler & Parker, 1994). Gender differences were also studied. Two basic profiles seem universal: the first is characterized by a high level of task-oriented coping, and the second profile is with moderately high scores on all three coping styles. The finding indicates that two fundamental latent coping profiles exist, which suggests a within-subject comparison in practice instead of investigating the absolute value of coping styles. Comparing data before and after 2020, COVID-19 does not seem to affect these profiles. The person-centered approach provides a possibility for the integration of coping-related findings. © 2023 The Authors

Classification of Chest X-Ray Images for COVID-19 Positive Patients Using Transfer Learning

The Coronavirus pandemic COVID-19 which has been declared as a pandemic by the World Health Organization has infected more than 212,165,567 and fatality figure of 4,436,957 as of 22nd August 2021. This infection develops into pneumonia which causes breathing problem;this can be detected using chest x-rays or CT scan. This work aims to produce an automated way of detecting the presence of COVID-19 infection using chest X-rays as a part of transfer learning strategy to extract numerical features out of an image using pre trained models as feature extractors. Then construct a secondary data set out of these features, and use these features which are simple numerical vectors represented in tabular form as an input to simple machine learning classifiers that work well with numerical data in tabular form such as SVM, KNN, Logistic regression and Naive Bayes. This work also aims to extract features using texture-based techniques such as GLCM and use the GLCM to obtain 2nd order statistical features and construct another secondary data set based on texture-based feature extraction techniques on images. These features are again fed into simple machine learning classifiers mentioned above. A comparison is done, between deep learning feature extraction strategies and texture-based feature extraction strategies and the results are compared and analyzed. Considering the deep learning strategies Mobile Net with SVM perform the best with 0.98 test accuracy, followed by logistic regression, KNN and Naive Bayes algorithm. With respect to GLCM feature extraction strategy, KNN with test accuracy with 0.96 performed the best, followed by logistic regression, SVM and naive Bayes. Overall performance wise deep learning strategies proved to be effective but in terms of calculation time and number of features, texture-based strategy of GLCM proved effective. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

THE COMPETENCE OF UNIVERSITY STUDENTS AND FACTORS RELATED TO LEARNING MOTIVATION DURING THE COVID-19 PANDEMIC: A CROSS-SECTIONAL STUDY IN FINLAND AND AUSTRIA

The global coronavirus disease (COVID-19) has disturbed daily life and altered the way we interact with others and the urgency of learning motivation/competence and its relation to the pandemic has not been addressed. Thus, few studies have been conducted to assess factors related to learning motivation from the COVID-19 pandemic. The current study aims to examine the related learning motivation of university students during the COVID-19 pandemic. A cross-sectional was used as secondary data analysis from Inter-university Consortium for Political and Social Research. A total of 7,386 university students in Austria and Finland. The data was administered by a web-based survey that was conducted from April 7 to June 6, 2020. Data analysis comprised of descriptive analysis and multiple linear regression analysis. This study found that most of students were female (n = 5,264, 73.30%), students' age M = 25.76, SD = 7.52, and students from Austria (77.80%) and Finland (22.2%). The predictors of learning motivation were age (β: -0.099, <0.05) and learning competence (β:.659, <0.05). This study also asserted that age (β: -.85, p<.05) was statistically significant with learning competence during COVID-19. Interdisciplinary healthcare team and faculty members consider students' age, gender, and learning competence factors in developing appropriate activities to encourage learning competence and learning motivation in order to improve learning outcomes in university students during the COVID-19 outbreak. © 2022, Malaysian Journal of Public Health Medicine. All Rights Reserved.

RISK FACTORS FOR EXPOSURE TO SARS-COV-2 DURING THE PANDEMIC IN PERU IN OCCUPATIONAL HEALTH PROFESSIONAL.

Introduction: Occupational health professionals (OHP) have played an important role in surveillance, prevention and control against COVID-19 at the workplace. Objective(s):To determine the risk factors associated with exposure to SARS-CoV-2 during the first and second waves of the Pandemic in Peru. Material(s) and Method(s): A cross-sectional study and secondary data analysis were made. OHP were virtually asked about exposed to COVID-19 at work and its social, educational and labor factors. Result(s): Of the 2,863 answers, we found in the multivariate analysis: there was more frequency of exposure to COVID-19 in the mining (p value=0.046);nutrition sector (p value=0.009);in the public sector (p value <0.001), manufacturing (p value<0.001);if the professional performs care work (p value<0.001);if they perform occupational medical evaluations (p value=0.001), who are nursing technicians (p value=0.016) and who are medical technologists (p value<0.001);On the other hand, there were less exposure when they were older (p value=0.006) and among those who had a specialty in occupational health (p value=0.025). Discussion(s): Important factors were associated with occupational exposure of OHP professionals, which can serve to prioritize professionals who should take care of themselves and to include into complete vaccination schedule.Copyright © 2022, Accion Medica S.A.. All rights reserved.

Is rising pharma market a new burden? Introspecting the implications of India's healthcare journey from public to a private good

Purpose: The paper demonstrates prejudicial effects of the rising private participation and the lacuna of state in ensuring the accessibility and affordability of healthcare. Design/methodology/approach: Secondary data analysis from national and international databases is employed to demonstrate the low government spending and the alternate healthcare financing mechanisms in the country. The company reports of six Indian pharma companies are examined to map the profits and revenues, and also taking into account the sales growth and return on investment. Finding(s): The paper observes the pharmaceutical sector, via its spiralling drug prices, is the primary contributor to the huge out-of-pocket expenses borne by households. The study findings indicate that there is an increased divergence between the out-of-pocket expenses of households and exorbitant profits of the private drug companies in the country over the years. Research limitations/implications: Amidst debates on the importance of public health in the aftermath of the pandemic, the paper examines the rising hands of private sector in healthcare, and implores - who benefits? The authors study the implications via looking into the rise in the wealth of pharma giants;at the time of crisis when the lives of common citizens in the country were at stake. Originality/value: The paper emphasises the repercussions of the higher markup of the pharma industry in raising the healthcare costs of households. The authors emphasise that the nonregulation of the pharma sector leads to high medical debts/poverty, in the wake of growing out-of-pocket expenditures of the citizens.Copyright © 2023, Emerald Publishing Limited.

Perceived controllability of a SARS-CoV-2 infection: an investigation of intersectional differences.

BACKGROUND: The perceived ability to influence an infection with SARS-CoV-2 has an impact on compliance with protective measures. Factors influencing perceived controllability are not yet fully known. The aim of this study was to identify intersectional differences in perceived controllability. Insights into these intersectional differences could help to develop user-centered strategies to improve the acceptance of protective measures. METHODS: Data from the seventh wave of the German Ageing Survey (DEAS) was used to investigate differences in the population regarding the perceived controllability. The role of socio-demographic and socio-economic predictors was investigated using multivariable linear regression modeling. Intersectional differences were examined using interaction terms. RESULTS: Information on 4,823 respondents aged 46 to 100 years were available, of which 50.9% were female. Migration status (yes vs. no: ß = -0.27; 95%-CI = -0.48,-0.06), education level (high vs. low: ß = 0.31; 95%-CI: 0.08, 0.55) and employment status (retired vs. employed: ß = 0.33; 95%-CI: 0.19, 0.48) were found to be significantly influencing perceived controllability. Interaction effects were found with respect to sex and migration status, with migrant women rating their perceived controllability lower than non-migrant women (ß = -0.51; 95%-CI = -0.80, -0.21), while no differences were evident between migrant and non-migrant men (ß = -0.02; 95%-CI = -0.32, 0.28). Further intersectional differences were not observed. CONCLUSIONS: The results show that intersectional differences in perceived controllability occur especially between migrant and non-migrant women. Possible causes may lie in language barriers, which in connection with lower health literacy may affect perceived controllability. Dedicated efforts to improve controllability among older adults, those with lower educational attainment and migrant women are warranted.

Primary and Secondary Data Collection to Conduct Researches, Write Thesis and Dissertation Amidst COVID-19 Pandemic: A Guidepost

Research has always been regarded by many as tedious because of the difficulties and challenges associated with doing research such as having to forego certain habits like social life. Doing research became even more difficult, especially with regard to limitation on collecting applicable primary and secondary data due to the COVID-19 pandemic lockdowns. It is to be noted that substantive, thorough, sophisticated literature review and intensive pertinent primary data availability are ncessary for doing quality research relevant to the status quo. Various novel approaches have been adopted by scholars through their diverse academic spheres in conducting internationally acceptable research amidst the COVID-19 pandemic. This research aims to come up with a guidepost to facilitate researchers and other stakeholders with fundamental knowledge and skills in conducting substantive, thorough, sophisticated researches that are of international standards. A comparative and diagnostic analysis method is used for analyzing existing literature and policies developed by higher education institutions and schools for doing research in the advent of the COVID-19 pandemic. The output allowed authors to develop a guidepost with rules on using limited primary and extensive secondary data in doing research. The guidepost consists of various sections explaining on how to do research and write theses and dissertations. These sections include among others research title, statement of the problem, research objectives, theoretical and conceptual frameworks, review of related literature, research methodology, analysis and interpretation of data, and conclusion and recommendations. The guidepost is very significant in doing researches and aids researchers in conducting internationally accepted researches with limited primary data and extensive secondary data in the advent of the COVID-19 Pandemic. The guidepost is flexible and can easily be used by local and international institutions’ researchers through little modification in context of their research fields. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Cycle Threshold Probability Score for Immediate and Sensitive Detection of B.1.351 SARS-CoV-2 Lineage.

BACKGROUND: Detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern associated with immune escape is important to safeguard vaccination efficacy. We describe the potential of delayed N gene amplification in the Allplex SARS-CoV-2 Assay (Seegene) for screening of the B.1.351 (20H/501.V2, variant of concern 2 [VOC.V2], South African SARS-CoV-2 variant) lineage. METHODS: In a study cohort of 397 consecutive polymerase chain reaction-positive samples genotyped by whole-genome sequencing, amplification curves of E/N/S-RdRP targets indicated delayedN vs E gene amplification characteristic of B.1.351. Logistic regression was used to calculate a VOC.V2 probability score that was evaluated as a separate screening test in an independent validation cohort vs sequencing. RESULTS: B.1.351 showed a proportionally delayed amplification of the  N vs E gene. In logistic regression, only N and E gene cycle thresholds independently contributed to B.1.351 prediction, allowing calculation of a VOC.V2 probability score with an area under the curve of 0.94. At an optimal dichotomous cutoff point of 0.12, the VOC.V2 probability score achieved 98.7% sensitivity at 79.9% specificity, resulting in a negative predictive value (NPV) of 99.6% and a positive predictive value of 54.6%. The probability of B.1.351 increased with an increasing VOC.V2 probability score, achieving a likelihood ratio of 12.01 above 0.5. A near-maximal NPV was confirmed in 153 consecutive validation samples. CONCLUSIONS: Delayed N vs E gene amplification in the Allplex SARS-CoV-2 Assay can be used for fast and highly sensitive screening of B.1.351.

Rethinking sustainable substitution between domestic and international tourism: a policy thought experiment

The role of domestic tourism as a substitute for international tourism has not received adequate attention in the literature. However, the potential for substitution has become particularly important in the COVID-19 pandemic context which has significantly impacted travel flows as well as the urgent need to reduce greenhouse gas emissions. Drawing upon data on major tourism destinations and generating markets, a tourism policy thought experiment is conducted to explore the substitutability of domestic for international tourism in selected countries in light of COVID-19 and other situations, such as the climate crisis and the urgent need for low carbon tourism. The analysis and discussion highlight the complexities in achieving sustainable substitution in rescaling international mobilities to domestic. It is argued that without careful changes to overall tourism provision and consumption behaviours in the international-domestic tourism division, a (partial) shift may provide short gains but is likely to fail in the long term. The paper concludes with a critical analysis of contemporary debates on COVID-19 related tourism transformation in relation to substitution between domestic and international tourism and sustainable tourism futures.

Factors related to moderate exercise during COVID-19 for overweight and obese individuals: A secondary analysis of HINTS data.

Objective: COVID-19 has exacerbated pre-existing rates of overweight and obesity in the United States. mHealth technologies are gaining in popularity for its potential to reduce obesity, if facilitated by patient-centered communication. This study explores predictors of overweight and obese individuals' exercise levels during COVID-19. Methods: 2191 respondents who visited a doctor in the past year and self-reported being overweight were selected from the 2020 Health Information National Trends Survey (HINTS). Respondents reported their physical activity, beliefs about obesity, health tracking behaviors, and communication with providers during the pandemic. Structural equation modeling was used to explore connections among the variables. Results: Patient-provider (e-)communication was significantly associated with changes in people's obesity-related beliefs and mHealth tracking usage, predicting moderate exercise during the pandemic. Conclusion: The findings illustrate the need for patient-centered communication encounters to include discussions on mHealth technologies and accessible methods of engaging in physical activity.Innovation: This study examined secondary data provided by overweight and obese individuals from the early days of the COVID-19 pandemic; this population may benefit from targeted health interventions using mHealth technologies. Our findings suggest that healthcare providers should engage patients through mHealth technology and seek to improve digital health literacy to progress physical activity nationwide.

Determinants of the Limpopo Province of South Africa's Response to COVID-19: A Mixed Methods Protocol to Analyze and Share Lessons Learned.

COVID-19 is a priority health research agenda item in South Africa. The World Health Organization declared the COVID-19 outbreak as a Public Health Emergency of International Concern, which requires all countries to respond and share data with others. Responses included the implementation of measures to reduce the spread of COVID-19 and protect health systems from being overwhelmed by seriously ill patients. Each country was mandated to assess its own risk and rapidly implement the necessary measures to reduce COVID-19 transmission and minimize its impact. Countries were further encouraged to share their experiences of responding to the COVID-19 pandemic. Media reports in South Africa suggest that the Limpopo Department of Health implemented a successful COVID-19 response. This study aims to analyze, document and publish those successes to make them accessible to other researchers and public health practitioners. The study will also allow for the participation of public health students to meet the requirements of their postgraduate degrees. This convergent parallel mixed method study will collect secondary data of responses to COVID-19 by the Limpopo Department of Health from the records the department keeps. Quantitative and qualitative data detailing activities and statistics describing facilitators and barriers to implementation of COVID-19 response from March 2020 will be extracted from records.

Using secondary data in research on social sustainability in construction project management: a transition from “interview society” to “project-as-practice”

Purpose: Access to unbiased self-reported (primary) data for a normative concept like social sustainability has been a challenge for construction project management (CPM) scholars, and this difficulty has been further amplified by the ongoing COVID-19 pandemic. This paper aims to address this issue by asserting the suitability of secondary data as a methodologically sound but underutilized alternative and providing directions for secondary data-based research on social sustainability in a project setting. Design/methodology/approach: By drawing on a framework for social sustainability and using “project-as-practice” approach as its point of departure, this conceptual paper identifies possibilities for utilizing multiple secondary sources in CPM research. Findings: The paper provides a roadmap for identification of secondary sources, access to data, potential research designs and methods, limitations of and cautions in using secondary sources, and points to many novel lines of empirical enquiries to stimulate secondary data-based research on social sustainability in CPM. Social implications: Indicated secondary sources and empirical opportunities can support research efforts that aim to promote societal welfare through construction projects. Originality/value: The presented guidance will assist researchers in identifying, accessing and utilizing naturalistic, secondary data for designing and conducting empirical research that cuts across social sustainability and CPM. This, in turn, will facilitate methodological pluralism and “practice turn” in such research endeavors. © 2022, Emerald Publishing Limited.

Culture Requests and Multi-Drug Resistance among Suspected Urinary Tract Infections in Two Tertiary Hospitals in Freetown, Sierra Leone (2017-21): A Cross-Sectional Study.

In sub-Saharan Africa, there is limited information about the use of microbiology laboratory services in patients with suspected urinary tract infections (UTIs). This cross-sectional study assessed the requests for urine culture in patients with suspected UTI in two tertiary (maternal and paediatric) hospitals-Freetown and Sierra Leone, during May 2017-May 2021-and determined antimicrobial resistance (AMR) patterns among bacterial isolates. One laboratory served the two hospitals, with its electronic database used to extract information. Overall, there were 980 patients, of whom 168 (17%) had cultures requested and performed. Of these, 75 (45%) were culture positive. During 2017-2019, there were 930 patients, of whom 156 (17%) had cultures performed. During 2020-2021, when services were disrupted by the COVID-19 pandemic, there were 50 patients, of whom 12 (24%) had cultures performed. The four commonest isolates were Escherichia coli (36), Klebsiella pneumoniae (10), Staphylococcus aureus (9), and Pseudomonas spp. (6). There were high levels of AMR, especially for trimethoprim-sulfamethoxazole (47%), nalidixic acid (44%), nitrofurantoin (32%) and cefotaxime (36%). Overall, 41 (55%) bacterial isolates showed multidrug resistance, especially E. coli (58%), Pseudomonas spp. (50%), and S. aureus (44%). These findings support the need for better utilization of clinical microbiology services to guide antibiotic stewardship and monitoring of trends in resistance patterns.

Hotel specific mega disruptions: Exploration of multi-stakeholder perspectives

The novel coronavirus caused major upheavals to the hospitality sector. The hotel industry is the most affected in the hospitality next to tourism. Therefore, the purpose of this research is to introduce and explore a new concept known as hotel specific mega disruptions (HSMD). Aiming which, in-depth interviews were conducted among 39 stakeholders including employees, customers, employers, vendors, suppliers, government representatives. Thematic analysis was done on the interview transcripts using NVivo software to identify emerging themes and sub-themes. Following analysis, fourteen subthemes were condensed into three main themes at micro, meso and macro level. To enhance the credibility and validity of the results, triangulation was done using secondary data available in the form of news, research works, reports etc. The study addresses a pertinent topic and highlights theoretical and practical implications for various hospitality stakeholders.