ABSTRACT
The COVID-19 pandemic has severely affected the tourism industry, with national lockdowns aimed at curbing the spread of the virus mandating travel restrictions and prohibiting events and gatherings. The shift to online video conferencing tools, which offer limited interactivity, has spurred the need to integrate augmented reality (AR) in various contexts, such as meetings, exhibitions, museums, and travel. This quantitative study examines visitors' perspectives on AR-based apps in tourism. It investigates the influence of three kinds of quality determinants, such as information quality, system quality, and service quality, on visitors' perspectives on AR apps. Their impact on visitor satisfaction ultimately triggers visitors to reuse AR-based mobile apps. The research makes a theoretical contribution to the literature on AR and the quality dimensions of mobile apps. We expect demand for AR-based apps to rapidly increase, as people continue to follow preventive measures even after COVID-19.
ABSTRACT
Introduction: COVID-19 has altered human cognition and changed the cultural values of society. However, there has not been much debate among scholars about whether these above changes have led to an increase in pro-environmental behavior (PEB) of Chinese consumers. Methods: A comprehensive model was developed based on affective event theory. An online questionnaire was distributed, and 501 usable questionnaires were collected. In addition, two complementary approaches were employed: partial least squares structural equation modeling (PLS-SEM) and necessary condition analysis (NCA). Results: The PLS-SEM results showed that COVID-19 risk perception, nostalgia, the awe of nature, and attitude were found to have a positive effect on PEB; and the moderating effect of power distance belief (PD) between nostalgia (NO), attitude (AT) and PEB was confirmed. According to the NCA results, AT and NO are necessary conditions for the PEB of consumers. Discussion: This study provides deeper insight into the understanding of consumers' pro-environmental behavior in the context of COVID-19 through the combined use of PLS-SEM and NCA.
ABSTRACT
This study aims to identify the psychological constructs that are antecedents to people's intention to travel to a tourist destination during the COVID-19 pandemic using the extended theory of planned behavior (ETPB) and necessary condition analysis (NCA). Online survey responses collected from 1,259 participants in the United States in May-June 2021 are used for the study. We find a moderating effect of public trust towards the government on the relationship between travel concerns and intentions. Results suggest that certain levels of public trust, subjective norm, perceived benefit of travel, perceived behavioral control, and perceived knowledge of the pandemic are necessary to manifest travel intentions. We uncover that providing travel incentives and better dissemination of the pandemic-related information can potentially encourage people to regain their original travel intention that was lost due to the pandemic. Furthermore, the bottlenecks obtained using NCA show that travel intentions are more easily manifested by perceived knowledge of the pandemic versus others. This study demonstrates the application of NCA, which can be further extended to make policy-level decisions for transportation systems. © 2022 American Society of Civil Engineers.
ABSTRACT
The COVID-19 pandemic has severely affected the tourism industry, with national lockdowns aimed at curbing the spread of the virus mandating travel restrictions and prohibiting events and gatherings. The shift to online video conferencing tools, which offer limited interactivity, has spurred the need to integrate augmented reality (AR) in various contexts, such as meetings, exhibitions, museums, and travel. This quantitative study examines visitors' perspectives on AR-based apps in tourism. It investigates the influence of three kinds of quality determinants, such as information quality, system quality, and service quality, on visitors' perspectives on AR apps. Their impact on visitor satisfaction ultimately triggers visitors to reuse AR-based mobile apps. The research makes a theoretical contribution to the literature on AR and the quality dimensions of mobile apps. We expect demand for AR-based apps to rapidly increase, as people continue to follow preventive measures even after COVID-19.
ABSTRACT
BACKGROUND: After conducting necessary condition analysis (NCA), researchers have concluded that a certain, not too low, level of well-being is necessary but not sufficient for a high level of resilience. However, as acknowledged by the developers of the test, NCA only evaluates if the association between two variables is characterized by some unspecified type of non-randomness and not conditions of necessity. METHOD: Earlier reported data on the association between well-being and resilience among Filipino adults (N = 533) in COVID-19 quarantine were re-analyzed with an extended version of NCA. RESULTS: Analyses indicated a significant necessity effect of resilience on overall well-being, which is not logically compatible with well-being being necessary but not sufficient for resilience. Analyses with an extended version of NCA suggested that the association between overall well-being and resilience was characterized by equal degrees of necessity and sufficiency. CONCLUSIONS: The original version of NCA is only capable of evaluating if the association between two variables is characterized by some unspecified type of non-randomness. The extended version of NCA allows researchers to draw more specific conclusions.
Subject(s)
COVID-19 , Humans , SARS-CoV-2ABSTRACT
Nation-wide community quarantines and social distancing are part of the new normal because of the global COVID-19 pandemic. Since extensive and prolonged lockdowns are relatively novel experiences, not much is known about the well-being of individuals in such extreme situations. This research effort investigated the relationship between well-being elements and resiliency of 533 Filipino adults who were placed under the nationwide enhanced community quarantine (ECQ) during the COVID-19 pandemic. Participants comprised of 376 females (70.56%) and 157 males (29.45%). The median and mode ages of the participants is 23 years, while 25 is the mean age. PERMA Profiler was used to measure participants' well-being elements, while Connor-Davidson Resiliency Scale-10 (CD-RISC-10) was used to measure their resiliency. Collected data were analyzed using the regression model and necessary condition analysis. This study corroborated that all the five pillars of well-being are significant positive correlates of resiliency (p < 0.00) in quarantined adults. The results shown accomplishment (ß = 0.447, p < 0.01) positively predicts resiliency, while negative emotions (ß = -0.171, p < 0.00) negatively predict resiliency. Lastly, the five pillars of well-being are necessary-but-not-sufficient conditions (ceiling envelopment with free disposal hull, CE-FDH p < 0.00) of resiliency. Our results cast a new light on well-being elements as constraints rather than enablers of resiliency. This novel result shows that optimum resiliency is only possible when all the five pillars of well-being are taken care of and when a person is at least minimally contented with their physical health. The present findings underscore the importance of a holistic as against an atomistic approach to maintaining good mental health, which suggests that deficiencies in certain areas of well-being may not be fully addressed by overcompensating on other areas, as all five pillars of well-being are necessary-but-not-sufficient conditions of resiliency. The study ends with the recommendation for the use of necessary condition analysis to study both classical and novel psychological research problems.
ABSTRACT
With the remaining ambiguity around COVID-19 effective treatment, the decision-making process for 2020 tourists remains fraught with complexity. Drawing from a sample of 385 permanent Athenian residents, the study explores the decision-making attributes driving their accommodation purchasing preferences in times of increased uncertainty. The complex dynamics are investigated using fuzzy-set Qualitative Comparative Analysis. A complementary analysis evaluates the size effect of the examined conditions using Necessary Condition Analysis. In total, four solutions are generated concerning: (i) health and safety; (ii) the price-quality nexus; (iii) risk aspects; and (iv) quality related health and safety. The study contributes towards the initiation of the theoretical discourse on the foundations of the exploration of tourists' accommodation choice triggers and dilemmas in times of pandemics. The results inform market intelligence with regard to accommodation-related customer priorities, perceptions and intentions during the pandemic which lay several important managerial implications for the accommodation industry.