The interplay of personality traits and motivation in leisure travel decision-making during the pandemic.

COVID-19 has negatively affected the travel and tourism industry and may continue to do so in the future. Therefore, hospitality businesses need to pay attention to consumer reactions, concerns, and motives for travelling in this era. This study leverages the stimulus-organism-behaviour-consequence (SOBC) model to examine psychological factors that influence Japanese travellers' intention to travel and willingness to pay premiums for safe travel by analysing data from 790 respondents. The findings of the study reveal that extraversion positively associates with introjected motivation and negatively with amotivation. Neuroticism personality type positively associates with amotivation and negatively associates with introjected motivation. Introjected motivation positively associates with perception of safe travel during COVID-19, whereas amotivation has a non-significant association with perception of safe travel during COVID-19. Perception of safe travel positively associates with intention to travel and willingness to pay premiums for safe travel. Finally, intention to travel has no effect on willingness to pay premiums for safe travel. These findings provide valuable theoretical and managerial implications.

Coping with pandemics using social network sites: A psychological detachment perspective to COVID-19 stressors.

Prior research has often portrayed information technology (IT) as a stressor. In this paper, we propose and demonstrate that IT can also be an effective means of coping with life stressors, including those induced by pandemics such as COVID-19. We thus deviate from the common IT-as-a-stressor perspective and adopt an IT-as-a-coping-mechanism viewpoint. To this end, we apply the stressor-detachment model from organisational psychology to the use of social network sites (SNSs) in coping with stressors wrought by the COVID-19 pandemic. We examine psychological well-being as our dependant variable and introduce psychological detachment through SNS use as a mediator and moderator of the associations between psychological well-being and two COVID-19 stressors: work-family conflict and perceived isolation. We used structural equation modelling and tested this model with survey data collected from 398 professionals who were in lockdown and working from home during the pandemic. The results indicated that psychological detachment through SNS uses increased psychological well-being and that heightened work-family conflict motivated this detachment strategy. In contrast, consistent with helplessness and motivation-opportunity theories, perceived isolation as a stressor did not influence psychological detachment through SNS use. While perceived isolation directly reduced individual well-being, the effect of work-family conflict on well-being was contingent upon users' levels of psychological detachment through SNS use. These findings suggest that while psychological detachment through SNS use is an effective means of improving one's well-being, it can be positively or negatively affected by stressors. Our study contributes to research on technology-mediated strategies for coping with stress and the psychosocial implications of global pandemics.

Supply chain resilience during the COVID-19 pandemic.

The COVID-19 pandemic has challenged supply chains more seriously challenged than ever before. During this prolonged global health crisis, supply chain managers were forced to rely primarily on solutions developed for limited and foreseeable crises. This study aimed to understand how well existing solutions facilitated supply chain resilience in the UK perishable goods market. Consistent with this aim, we developed a research model based on the supply chain resilience literature and tested it with covariance-based structural equation modelling. Data were collected from 282 retail employees. Supply chain velocity was the preferred measure of resilience. The findings demonstrate that pandemic-related disruptions have affected resilience-building activities. While both proactive and reactive approaches have promoted resilience building during the pandemic, they have not been sufficient to ameliorate all the pandemic's negative effects. Innovation featured as the most effective factor, followed by robustness, empowerment, and risk management via reduced risk. The effect of firm size was significant only on supply chain risk management, with larger companies more efficiently applying risk management practices. The results emphasise the importance of innovation for supply chain resilience. Regardless of firm size, innovation works for every company. Empowerment is another costless and effective tool. Therefore, it is safe to conclude that innovation and empowerment can help organisations to manage their supply chains effectively during crises. Companies can strengthen their supply chain resilience by developing strong relationships with their supplier and employees.

Personality and travel intentions during and after the COVID-19 pandemic: An artificial neural network (ANN) approach.

The tourism sector has been deeply ravaged by the COVID-19 pandemic as many individuals abstained entirely from travel. Thus, before contemplating the trajectory of the sector's recovery, it is essential to understand individuals' travel intentions both during and after the pandemic. The present study contributes in this regard by examining the impact of individuals' personality traits categorised by the five-factor model, or the Big Five, on their leisure travel intentions during and after the pandemic. To this end, we utilised an artificial neural network (ANN) approach to analyse 500 responses from individuals residing in Japan. The results reveal that extraversion has the strongest relative influence on intentions to travel during the pandemic, whereas openness to experience has the strongest influence on travel intentions after the pandemic. This study is the first of its kind to examine the influence of the Big Five personality traits on travel intentions in the context of a pandemic.

How Self-tracking and the Quantified Self Promote Health and Well-being: Systematic Review.

BACKGROUND: Self-tracking technologies are widely used in people's daily lives and health care. Academic research on self-tracking and the quantified self has also accumulated rapidly in recent years. Surprisingly, there is a paucity of research that reviews, classifies, and synthesizes the state of the art with respect to self-tracking and the quantified self. OBJECTIVE: Our objective was to identify the state of the art of self-tracking and the quantified self in terms of health and well-being. METHODS: We have undertaken a systematic literature review on self-tracking and the quantified self in promoting health and well-being. After a rigorous literature search, followed by inclusions, exclusions, and the application of article quality assessment protocols, 67 empirical studies qualified for the review. RESULTS: Our results demonstrate that prior research has focused on 3 stakeholders with respect to self-tracking and the quantified self, namely end users, patients and people with illnesses, and health care professionals and caregivers. We used these stakeholder groups to cluster the research themes of the reviewed studies. We identified 11 research themes. There are 6 themes under the end-user cluster: user motivation and goal setting, usage and effects of self-tracking, continuance intention and long-term usage, management of personal data, rejection and discontinuance, and user characteristics. The patient and people with illnesses cluster contains three themes: usage experience of patients and people with illnesses, management of patient-generated data, and advantages and disadvantages in the clinical context. The health care professional and caregiver cluster contains two themes: collaboration among patients, health care professionals, and caregivers, and changes in the roles of patients and professionals. Moreover, we classified the future research suggestions given in the literature into 5 directions in terms of research designs and research topics. Finally, based on our reflections on the observations from the review, we suggest four future research directions: (1) users' cognitions and emotions related to processing and interpreting the information produced by tracking devices and apps; (2) the dark side of self-tracking (eg, its adverse psychosocial consequences); (3) self-tracking as a societal phenomenon; and (4) systemic impacts of self-tracking on health care and the actors involved. CONCLUSIONS: This systematic literature review contributes to research and practice by assisting future research activities and providing practitioners with a concise overview of the state of the art of self-tracking and the quantified self.

Digital knowledge sharing and creative performance: Work from home during the COVID-19 pandemic.

The outbreak of the COVID-19 pandemic and the resulting social distancing requirements have led to major disruptions in the world of work. The outcomes of the enforced and large-scale work from home (WFH) practices are currently largely unexplored. This study aims to address this gap in the research by investigating the external and internal digital knowledge sharing (DKS) and creative performance (CP) of employees under these extraordinary circumstances. The social capital theory was utilized as the theoretical lens for examining the associations of DKS and CP with demographic, individual, and organizational factors. An online cross-sectional survey was carried out among knowledge workers based in Norway during the pandemic lockdown. The study results indicate that internal and external DKS are significant predictors of CP in the WFH context during the COVID-19 pandemic. Females and older employees are more likely to engage in external DKS than their counterparts. Furthermore, individual motivation is found to be positively associated with internal DKS, external DKS, and CP. The findings suggest that increased use of digital platforms helps increase CP in the WFH setting resulting from the pandemic. Various theoretical and practical implications are discussed, and future research avenues are proposed.

Investigating the relation among disturbed sleep due to social media use, school burnout, and academic performance.

INTRODUCTION: Previous studies have revealed the significant influence of electronic devices, especially social media use, on sleep difficulties among adolescents. In this study, disturbed sleep due to social media use (DSSM) was defined as reduced or troubled sleep caused by nighttime-specific behaviors such as waking to check updates, being notified by incoming messages, or postponed bedtime because of social media activities. Inadequate and disturbed sleep during youth interferes with daytime academic efficiency and may be associated with school burnout, which were examined in this study. METHODS: Using two data waves collected from questionnaires on school burnout and DSSM and school test scores of 2462 Taiwanese middle school students (52.5% males) from various school types with average ages of 13.9 (SD = 0.72) and 14.3 (SD = 0.66) at Time 1 and Time 2, we investigated the relationship between the variables across time. RESULTS: DSSM, academic performance, and school burnout were significantly correlated. Cross-lagged analyses to the group of adolescents with higher than the average DSSM scores revealed that burnout predicted lower academic achievements through DSSM as a mediator. Burnout did not have a direct effect on school performance but influenced the latter through disturbed sleep. Poor academic achievement in its turn showed a feedback effect on higher levels of burnout. CONCLUSIONS: This research reveals a vicious cycle of burnout, disturbed sleep, and academic achievement. During adolescence, school burnout through DSSM increase can lead to a lower academic performance that may later cause even higher burnout.

Behavioral reasoning perspectives on organic food purchase.

Consumers' rising interest in organic food has drawn the attention of the academic community. The literature on the topic is growing, but it mostly focuses either on the acceptance of or resistance toward organic food. However, marketing scholars argue that the development of more in-depth insights into consumers' reasoning processes, and especially the roles of values and context-specific reasons are needed. The present study bridges this gap by utilizing the novel behavioral reasoning theory (BRT) framework. Cross-sectional data from 307 consumers and non-consumers from India were collected to investigate associations among attitudes, reasoning, value, and purchase intentions. This research studies the moderating role of food safety concerns and buying involvement. Additionally, the mediating role of reasons and attitudes is examined. The results suggest that value was positively associated with reasons (for and against), whereas attitude and reasons (for) resulted in favorable purchase intentions. Reasons (for and against) fully mediate the association between value and attitude. Furthermore, attitude partially mediates the association of reasons and purchase intentions. The moderation effect was not found for food safety concerns, but a limited effect among studied associations was observed for buying involvement. The findings raise significant implications for marketers and policymakers.

The emerging role of cognitive computing in healthcare: A systematic literature review.

To assist medical professional in better treatment of diseases, and improve patient outcomes, healthcare has brought about a cognitive computing revolution. The cognitive computing system processes enormous amounts of data instantly to answer specific queries and makes customized intelligent recommendations. Cognitive computing in healthcare links the functioning of human and machines where computers and the human brain truly overlap to improve human decision-making. In regard to this convergence, this systematic literature review (SLR) provides comprehensive information of the prior research related to cognitive computing in healthcare. The SLR focused on methods, algorithms, applications, results, strengths, and limitation using different research articles collected from leading international databases using linear and citation chaining search. The main outcomes of the SLR include proposal on future research direction, challenges faced by researchers, capabilities and the impact of cognitive computing on healthcare outcome and a conceptual model, showcasing the better utilization of cognitive computing in healthcare domain. This study concludes with managerial implications, limitations and scope for future work.

Determinants of organic food consumption. A systematic literature review on motives and barriers.

During the last few decades, interest in organically produced food has steadily risen around the world. Consequently, academic interest in better understanding the different motives and barriers underlying organic food consumption has also increased. But, the scope of these published studies is both broad and fragmented. There is a lack of research that systematically examines and presents a comprehensive review of the different motives and barriers and their association with purchase decisions. The current study shows a systematic literature review of different motives and barriers and their association with purchase decisions in context to organic food. A total of 89 empirical studies was considered in the review. Two popular theoretical frameworks, namely the theory of consumption values and innovation resistance theory, were used to categorize the identified motives and barriers. The primary outcomes of this systematic literature review are: a) descriptive statistics on the selected studies; b) comprehensive summary of motives and barriers mentioned in selected studies using theory of consumption values and innovation resistance theory; c) classification of motives and barriers on consumer involvement, research design and country status; d) framework on the association between motives, barriers and purchase decisions; e) implications for scholars, managers, and policymakers interested in better understanding issues related to organic food consumption.

Do Online Privacy Concerns Predict Selfie Behavior among Adolescents, Young Adults and Adults?

Selfies, or self-portraits, are often taken and shared on social media for online self-presentation reasons, which are considered essential for the psychosocial development and well-being of people in today's culture. Despite the growing popularity and widespread sharing of selfies in the online space, little is known about how privacy concerns moderate selfie behavior. In addition to this, it is also not known whether privacy concerns across age and gender groups influence selfie behavior. To address this timely issue, a survey assessing common selfie behaviors, that is, frequency of taking (individual and group selfies), editing (cropping and filtering), and posting selfies online, and social media privacy concerns (over personal data being accessed and misused by third parties) was conducted. The web-survey was administered to 3,763 Norwegian social media users, ranging from 13 to 50 years, with a preponderance of women (n = 2,509, 66.7%). The present study investigated the impact of privacy concerns on selfie behaviors across gender and age groups (adolescent, young adult, and adult) by use of the structural equation modeling approach. The results suggest that young adults have greater privacy concerns compared to adolescents and adults. Females have greater privacy concerns than males. Greater privacy concerns among female social media users were linked to lower engagement in selfie behavior, but privacy concerns did not influence selfie behavior in the case of male adolescents and young adults. Overall, privacy concerns were more consistently and inversely related to selfie behavior (taking and posting) among females than males. The study results have theoretical as well as practical implications for both researchers and policy makers.

Psychometric Validation of the Chinese Compulsive Internet Use Scale (CIUS) with Taiwanese High School Adolescents.

The recent development of internet infrastructure has fuelled a popular concern that young Asian internet users are experiencing Internet addiction due to excessive Internet use. In order to understand the phenomenon, psychometric validation of a 14-item Compulsive Internet Use Scale (CIUS), with 417 Chinese adolescents has been performed. Compared to other instruments for use with Chinese populations, e.g. the 20-item Internet Addiction Test (IAT) and the 26-item Chen Internet Addiction Scale, the CIUS is relatively concise, and easy to use for measuring and diagnosing Internet addiction. The present psychometric validation has found good factorial stability with a one-factor solution for the CIUS. The internal consistency and model fit indices were very good, and even better than any previous CIUS validations. The Chinese CIUS is a valid and reliable self-reporting instrument for examining compulsive Internet use among Chinese adolescents. Other findings included: male adolescents tend to experience more compulsive Internet use than their female counterparts, and CIUS scores were positively correlated with the daily Internet use time and negatively correlated with the academic performance of the participants. No significant relationships between the CIUS, ICT accessibility, family economic condition, parental occupation or religion were found.