Flexible work arrangements and gender differences in research during the COVID-19 period in Zimbabwean higher learning institutions

This study sought to investigate the impact of COVID-19-induced flexible work arrangements (FWAs) on gender differences in research outputs during COVID-19. A mixed research methodology was used, focusing on higher learning institutions in Zimbabwe. Purposive sampling was applied to select 250 researchers from the 21 registered universities in Zimbabwe. The study's findings revealed that institutions of higher learning in Zimbabwe did not provide the necessary affordances to enable both male and female academics to work from home effectively. The study also established that FWAs were preferred and appreciated by both male and female academics. However, whilst both male and female academics performed their teaching responsibilities without incident, unlike males, females struggled to find time for research, thus affecting professional growth and development negatively for female academics. Cultural traditions were found to subordinate females to domestic and caregiving responsibilities unrelated to their professions. The findings raise questions on the feasibility of the much-recommended FWAs for future work on female academics' research careers. Thus, without the necessary systems and processes to support female researchers, FWAs can only widen the gender gap in research outputs. This study contributes to the Zimbabwean higher learning institutions' perspective on how FWAs' policies and practices could be re-configured to assist female researchers in enhancing their research outputs as well as their career growth.

Modelling of factors influencing organizational readiness for change in start-ups during the COVID-19 emergency

PurposeThe purpose of this paper is to "identify”, "analyze” and "construct” a framework to quantify the relationships between several determinants of organizational preparedness for change in the start-ups during the COVID-19 emergencies.Design/methodology/approachTotal interpretive structural modelling (TISM) is used to find characteristics that assist in analyzing the readiness or preparedness level before initiating a change deployment process in start-ups. A cross-impact matrix multiplication applied to classification (MICMAC) analysis is performed to determine the driving and dependent elements of change in start-ups.FindingsFrom literature research and an expert interview, this study selected ten variables of change preparedness to explore inner interconnections and comprehend the inner connections factors. The findings depict that clarity of mission and goals, reward system, technological advancement and motivational readiness have been considered the most important readiness factor for deploying organizational change in start-ups during the COVID-19 emergencies.Practical implicationsThis research will aid the management and researchers gain a better understanding of the factors that influence change preparedness. Constant observation of current changes in the start-ups and the external environment will aid in improving the quality of products or services provided by the start-ups during the COVID-19. The start-ups can use these criteria linked to change readiness. The priority of each element is determined using MICMAC analysis and ranking using the TISM technique, which assists start-ups in ordering the enablers from highest to lowest priority.Originality/valueThere is no research regarding factors influencing organizational readiness for change in start-ups during the COVID-19 emergencies. This research gap is filled by analyzing aspects linked to organizational readiness for change in start-ups. This gap inspired the present study, which uses the "Total Interpretive Structural Modelling (TISM)” technique to uncover change determinants and investigate hierarchical interconnections among factors influencing organizational readiness to change in start-ups during the COVID-19 emergencies.

Impact of Electronic Word-Of-Mouth on Consumer-Based Brand Equity and Purchase Intention: Hotel Industry in Thailand

Electronic word-of-mouth is a new form of informal communication where messages are disseminated to others using social media and other electronic platforms. This research investigates eWOM to determine its impact on the perception of brand equity and the intentions of consumers to purchase hotel services in Thailand. Using a quantitative approach and a non-probability sampling method, 410 Thai respondents aged 18 and above with relevant hotel experiences participated in this study. Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) were used to analyze the model fit and the validity and reliability of the variables. In addition, in order to investigate the relationship between the constructs, first-order and second-order approaches were used, in which eWOM was the second-order construct in the study, while its credibility, valence, and volume, were first-order constructs. The findings indicated that eWOM positively affects all brand equity dimensions and purchase intentions, showing the strongest significant positive effect on brand awareness. Additionally, brand equity dimensions were shown to mediate the effect of eWOM on purchase intentions. Details of the analyses and discussions are included in the latter part of this paper.

Factors affecting students' use of a data-free instant messenger for on-line peer tutoring: a large, undergraduate class at a historically disadvantaged university

There is a need for synchronous and inclusive online peer tutoring in large, undergraduate classes. As a lack of data or internet connectivity may limit online peer tutoring, the use of a data-free instant messenger was implemented for online tutoring in a class of 342 students. The Moya application allows students to chat and send voice notes to tutors and peers without using data. Sending attachments incurs data costs but the amount of data is displayed prior to downloading. The qualitative interpretivist case study used data collected from purposive sampling via an online survey. Consent was received from 252 third-year Information Systems students at a historically disadvantaged university. Qualitative data were analysed via thematic content analysis using the Unified Theory of Acceptance and Use of Technology 2 model as a theoretical basis. Findings indicate that the majority of students (85.7%) did not use the data-free Moya instant messenger. Reasons for the low usage included a negative performance expectancy, as students did not see the benefit in using the application to engage with peers or tutors. Perceived effort expectancy was low, as students did not desire to learn to use a new application. Results showed that using WhatsApp was a habit. Moreover, social influence was a factor, as fellow students and tutors were also using WhatsApp. Students recommended increasing awareness of the Moya application and providing training. The price value was expected to be a significant factor as this application does not require data, but this was not the case. Facilitating conditions show that students had data for WhatsApp. Moya has the same interface design as the preferred WhatsApp so learning to use the application should require minimal effort. The unexpected findings indicate that students prefer WhatsApp, an instant messenger that requires data, over a datafree instant messenger. The findings leave lecturers questioning whether using WhatsApp for online peer tutoring is the more viable option.

A New Approach to Extracting Tourism Focus Points from Chinese Inbound Tourist Reviews after COVID-19

The number of inbound tourists in Japan has been increasing steadily in recent years. However, due to the COVID-19 pandemic, the number of inbound tourists decreased in 2020. This is particularly worrisome for Japan, as the number of inbound tourists is expected to reach 60 million per year by 2030. In order to help Japan's tourism industry to recover from the pandemic, we propose a method of identifying elements that attract the attention of inbound tourists (focus points) by analyzing reviews on tourist sites. We focus on Hokkaido, a popular area in Japan for tourists from China. Our proposed method extracts high-frequency n-gram patterns from reviews written by Chinese inbound tourists, showing which aspects are mentioned most often. We then use seven types of motivational factors for tourists and principal component analysis to quantify the focus points of each tourist destination. Finally, we estimate the focus points by clustering the n-gram patterns extracted from the tourists' reviews. The results show that our method successfully identifies the features and focus points of each tourist spot.

The Concept of Online Education After the Outbreak of COVID-19 And Its Influence on Education, Families, Students and Educators

COVID-19 has created numerous modifications to human life and altered people's outlooks on life. In this study, the effects of Corona on education, family life, students, and teachers were examined, and the findings were discussed. First, the concept of online education, which has become an integral part of our lives, was emphasized. The transition to online education's challenges and the overall studies on the subject were examined. During the second phase, the positive and negative effects and outcomes of the pandemic on family life were documented. In the final section, the impacts of education on educators and students, the two inseparable components of education, were underlined, and the obstacles encountered in this process, technical challenges, and disparities in education between urban and rural locations were studied.

A Study on Establishing Thermal Output Conditions of Radiant Ceiling Heating Panels for Improving Thermal Comfort of Perimeter Zone in Buildings

Amid concerns over airflow-induced transmission of the COVID-19 virus in buildings frequented by large numbers of people, such as offices, the necessity for radiant ceiling heating panels has increased. This is due to the concern that the airflows emitted from the convection heating systems installed near the ceiling or windows for winter heating may be a major cause of COVID-19 transmission. In this study, we aim to evaluate thermal comfort under various indoor and outdoor environmental conditions of a building and present the thermal output conditions of the radiant ceiling heating panel that can replace the convection heating system while ensuring comfort in the perimeter zone and handling the heating load. As a result, we were able to present, in a chart format, the thermal output conditions that can secure thermal comfort by analyzing the indoor airflow distribution depending on the surface temperature of the radiant ceiling heating panel, the interior surface temperature of the window, and the influence of internal heat generation. Moreover, through derived empirical formulas, we were able to determine the heating conditions of the panel that can secure the necessary heat dissipation while minimizing discomfort, such as downdrafts, even for indoor and outdoor conditions that were not evaluated in this study.

Political Identity, Risk Perception, and Sport Participation: Conditional Process Analysis of Golfers' Revisit Intent During the COVID Pandemic

A first-stage moderated mediation model consisting of general risk awareness of COVID-19, perceived risk of playing golf, and revisit intention was introduced to specify when and how political orientation influences an individual's decision to play golf again. Findings are discussed in the context of a dual process model of political identity, and the implications for practice as well as future research are presented. Consumers consciously or subconsciously conduct risk-benefit analysis for consumption choices, whether it is a careful piecemeal examination or a heuristic probe (Hespanhol et al., 2015). [...]golf was considered a safer recreational activity with relatively little risk of transmission than other activities where social distancing was either difficult or impossible (Robinson et al., 2021). [...]it is worth exploring the relationship between general risk awareness of the disease and domain-specific risk and how they influence individuals' decisions to play golf.

Decision region analysis to deconstruct the subgroup influence on AI/ML predictions

Assessing the generalizability of deep learning algorithms based on the size and diversity of the training data is not trivial. This study uses the mapping of samples in the image data space to the decision regions in the prediction space to understand how different subgroups in the data impact the neural network learning process and affect model generalizability. Using vicinal distribution-based linear interpolation, a plane of the decision region space spanned by the random 'triplet' of three images can be constructed. Analyzing these decision regions for many random triplets can provide insight into the relationships between distinct subgroups. In this study, a contrastive self-supervised approach is used to develop a 'base' classification model trained on a large chest x-ray (CXR) dataset. The base model is fine-tuned on COVID-19 CXR data to predict image acquisition technology (computed radiography (CR) or digital radiography (DX) and patient sex (male (M) or female (F)). Decision region analysis shows that the model's image acquisition technology decision space is dominated by CR, regardless of the acquisition technology for the base images. Similarly, the Female class dominates the decision space. This study shows that decision region analysis has the potential to provide insights into subgroup diversity, sources of imbalances in the data, and model generalizability. © 2023 SPIE.

Effect of knowledge, social and religious factors effecting the intention of Muslims in Pakistan to receive COVID-19 vaccination: mediating role of attitude towards COVID-19 vaccination

PurposeThis study aims to empirically examine the knowledge, social and religious factors effecting the intention to receive COVID-19 vaccination while considering the mediating role of attitude towards COVID-19 vaccination. The research explores how the Islamic ideologies shape Muslims' knowledge, social and religious beliefs towards COVID-19 vaccination acceptance or refusal.Design/methodology/approachTheoretically, the study is based on the functional theory of attitudes. The model of the study is comprised of nine variables explaining the attitude and intention towards COVID-19 vaccination. Among nine variables, perceived Islamic religiosity, perceived behavioural control and Halal consciousness among Muslims are explained through the value-expressive function of attitude. Furthermore, the perceived risk of COVID-19, the perceived side effect of COVID-19 vaccination and the perceived efficacy of COVID-19 vaccination are considered in the model based on the utility function of attitude. Moreover, social influence for COVID vaccination, subjective norms and group conformity are ed from the social-adjustive function of attitude. This study used a quantitative survey research method to test the hypotheses. A total of 1,000 questionnaires were distributed to non-vaccinated Muslim respondents from five cities in Pakistan. The structural equation modelling (SEM) technique was used to test the relationship among the variables in the proposed model. The partial least square-SEM method explained the variances in the dependent variables. Moreover, to test the structure of data, different statistical tests, including exploratory factor analysis (EFA), factor loadings and average variance extracted, were used with the help of Statistical Package for the Social Sciences (SPSS) and analysis of a moment structures (AMOS) 23.0 version.FindingsResults for direct effect showed a significant negative effect of Islamic religiosity, perceived behavioural control, halal consciousness, perceived side effect of COVID-19 vaccination, social influence, subjective norm and group conformity on attitude towards COVID-19 vaccination. In contrast, insignificant results showed no relationship of perceived risk from COVID-19 infection and perceived efficacy of COVID-19 vaccination with attitude towards COVID-19 vaccination. Results for mediating effect showed the significant negative mediating effect of attitude towards COVID-19 vaccination between Islamic religiosity, perceived behavioural control, halal consciousness, perceived side effect, social influence, subjective norm, group conformity and intention to receive COVID-19 vaccination. While results showed the insignificant mediation of attitude towards COVID-19 between perceived risk from COVID-19 infection, perceived efficacy of COVID-19 vaccination and intention to receive COVID-19 vaccination.Research limitations/implicationsFurther studies are required to compare the attitude and intention among the temporary refusal group (those who will consider vaccination the future) and the permanent refusal group (those who will not consider vaccination the future). Comparing Muslim and non-Muslim groups can also explain differences in attitude and intention towards COVID-19 vaccination.Originality/valueThe area of acceptance and refusal of COVID-19 vaccination has been given limited attention in academic literature. Theoretically, this research has proposed a well-defined model to explain the attitude of Muslims towards COVID-19 vaccination. This model can helpf predict the attitude and intentions of Muslims towards vaccination or medicines. Moreover, this research is a unique contribution for the vaccination brands to consider the discussed factors before launching their brand in Muslim countries.

Online innovation and repurchase intentions in hotels: the mediating effect of customer experience

PurposeThis study investigates how customer experience mediates the relationship between online innovation and repurchase intention in the hotel industry in Ghana.Design/methodology/approachData was collected from 167 clients from a two-star hotel in Accra, the capital city of Ghana. Structural equation modelling was used to analyse the relationship between the variables.FindingsResults from the analysis indicate that online innovation positively leads to higher repurchase intentions and better customer experience, affirming that customer experience leads to repurchase intentions. Thus, while online innovation leads to repurchase intentions, the strength of this repurchase intention depends on customer experience. Therefore, customer experience mediates the relationship between online innovation and repurchase intention in the hotel industry.Research limitations/implicationsThis study addressed only the customer's point of view;future studies could investigate the subject from the managers and other stakeholders' point of view to get a holistic view. Also, the sample size could be improved, and the study could be conducted in other African countries for comparison purposes.Practical implicationsThe study shows that online innovation does not automatically lead to increased positive repurchase intention. Hotel managers must, therefore, enforce good customer experience for better profitability.Originality/valueAs far as the researchers know, limited studies have been conducted into how customer experience mediates online innovation and repurchase intention in the hotel industry in Ghana using structural equation modelling. This makes this research unique in Ghana. This study makes an original contribution by measuring the real effect of innovation on repurchase intentions in the hotel industry in Ghana.

Insights about the Effects of COVID-19 on International Trade during the Main Pandemic Years in Romania and Poland

The COVID-19 crisis disrupted the economic life of the entire world and caused various disturbances at different levels in economies and societies. Consequently, the study of the economic impact of the health crisis became necessary to identify the influences that the health crisis had on numerous activities, including economic ones. There are calls for more studies to be conducted about the effects of COVID-19 at different levels so that lessons can be learned. The present paper answers these calls and focuses on the analysis of the impact of the COVID-19 crisis on international trade at the country level by investigating two European countries, Romania and Poland. First, it analyzes the macro-level context of the two countries during the COVID-19 pandemic. Then, a regression methodology is employed to measure the impact of the COVID-19 burden (which includes the number of cases and the number of deaths related to COVID-19) on the export and import flows in Romania and Poland. The investigation refers to the first two years of the COVID-19 pandemic, 2020–2021, which were the most significant. The results of the regression analysis showed that international trade was affected by the COVID-19 burden in the two countries, but the influences were different in the two countries. Exports and imports in Poland were more affected by COVID-19 than exports and imports in Romania. COVID-19 also had a higher impact on the import than the export flows in both countries during the period considered. The negative assumed relationships between COVID-19 burden and international trade flows were not verified in these specific country cases. This paper provides more evidence about the economic impact of the COVID-19 crisis, contributing to a better understanding of the economic effects of health crises in general.

PA during the COVID-19 outbreak in China: a cross-sectional study.

COVID-19 has undergone several mutations and is still spreading in most countries now. PA has positive benefits in the prevention of COVID-19 infection and counteracting the negative physical and mental effects caused by COVID-19. However, relevant evidence has indicated a high prevalence of physical inactivity among the general population, which has worsened due to the outbreak of the pandemic, and there is a severe lack of exercise guidance and mitigation strategies to advance the knowledge and role of PA to improve physical and mental health in most countries during the epidemic. This study surveyed the effects of COVID-19 on PA in Chinese residents during the pandemic and provided important reference and evidence to inform policymakers and formulate policies and planning for health promotion and strengthening residents' PA during periods of public health emergencies. ANOVA, Kolmogorov-Smirnov, the chi-square test and Spearman correlation analysis were used for statistical analysis. A total of 14,715 participants were included. The results show that nearly 70% of Chinese residents had inadequate PA (95%CI 58.0%-82.19%) during the COVID-19 outbreak, which was more than double the global level (27.5%, 95%CI 25.0%-32.2%). The content, intensity, duration, and frequency of PA were all affected during the period of home isolation, and the types of PA may vary among different ages. The lack of physical facilities and cultural environment is the main factor affecting PA. However, there was no significant correlation between insufficient PA and the infection rate. During the period of home isolation and social distance of epidemic prevention, it is necessary to strengthen the scientific remote network monitoring and guidance for the process of PA in China.

Concerns related to the interactions between COVID-19 vaccination and cancer/cancer treatment were barriers to complete primary vaccination series among Chinese cancer patients: A multicentre cross-sectional survey.

COVID-19 vaccination is effective for cancer patients without safety concerns. However, COVID-19 vaccination hesitancy is common among cancer patients. This study investigated factors affecting primary COVID-19 vaccination series completion rate among cancer patients in China. A multicentre cross-sectional study was conducted in four Chinese cities in different geographic regions between May and June 2022. A total of 893 cancer inpatients provided written informed consent and completed the study. Logistic regression models were fitted. Among the participants, 58.8% completed the primary COVID-19 vaccination series. After adjusting for background characteristics, concerns about interactions between COVID-19 vaccination and cancers/cancer treatment (adjusted odds ratios [AOR]: 0.97, 95%CI: 0.94, 0.99) were associated with lower completion of primary vaccination series. In addition, perceived higher risk of COVID-19 infection comparing to people without cancers (AOR: 0.46, 95%CI: 0.24, 0.88), perceived a high chance of having severe consequences of COVID-19 infection (AOR: 0.68, 95%CI: 0.51, 0.91) were also associated with lower completion rate. Being suggested by significant others (AOR: 1.32, 95%CI: 1.23, 1.41) and perceived higher self-efficacy to receive COVID-19 vaccination (AOR: 1.48, 95%CI: 1.31, 1.67) were positively associated with the dependent variable. Completion rate of primary COVID-19 vaccination series was low among Chinese cancer patients. Given the large population size and their vulnerability, this group urgently needs to increase COVID-19 vaccination coverage. Removing concerns about interactions between COVID-19 vaccination and cancers, using fear appeal approach, involving significant others, and facilitating patients to make a plan to receive COVID-19 vaccination might be useful strategies.

The Impact of Individuals' Social Environments on Contact Tracing App Use: Survey Study.

BACKGROUND: The German Corona-Warn-App (CWA) is a contact tracing app to mitigate the spread of SARS-CoV-2. As of today, it has been downloaded approximately 45 million times. OBJECTIVE: This study aims to investigate the influence of (non)users' social environments on the usage of the CWA during 2 periods with relatively lower death rates and higher death rates caused by SARS-CoV-2. METHODS: We conducted a longitudinal survey study in Germany with 833 participants in 2 waves to investigate how participants perceive their peer groups' opinion about making use of the German CWA to mitigate the risk of SARS-CoV-2. In addition, we asked whether this perceived opinion, in turn, influences the participants with respect to their own decision to use the CWA. We analyzed these questions with generalized estimating equations. Further, 2 related sample tests were performed to test for differences between users of the CWA and nonusers and between the 2 points in time (wave 1 with the highest death rates observable during the pandemic in Germany versus wave 2 with significantly lower death rates). RESULTS: Participants perceived that peer groups have a positive opinion toward using the CWA, with more positive opinions by the media, family doctors, politicians, and virologists/Robert Koch Institute and a lower, only slightly negative opinion originating from social media. Users of the CWA perceived their peer groups' opinions about using the app as more positive than nonusers do. Furthermore, the perceived positive opinion of the media (P=.001) and politicians (P<.001) was significantly lower in wave 2 compared with that in wave 1. The perceived opinion of friends and family (P<.001) as well as their perceived influence (P=.02) among nonusers toward using the CWA was significantly higher in the latter period compared with that in wave 1. The influence of virologists (in Germany primarily communicated via the Robert Koch Institute) had the highest positive effect on using the CWA (B=0.363, P<.001). We only found 1 decreasing effect of the influence of politicians (B=-0.098, P=.04). CONCLUSIONS: Opinions of peer groups play an important role when it comes to the adoption of the CWA. Our results show that the influence of virologists/Robert Koch Institute and family/friends exerts the strongest effect on participants' decisions to use the CWA while politicians had a slightly negative influence. Our results also indicate that it is crucial to accompany the introduction of such a contact tracing app with explanations and a media campaign to support its adoption that is backed up by political decision makers and subject matter experts.

The Impact of Emissions Reduction Awareness on Moral Self-Concept: Sustaining Climate-Friendly Behaviour in the Aftermath of the Covid-19 Pandemic

Communication campaigns often highlight environmental progress to encourage further pro-environmental behaviour. Consequently, the drop in carbon emissions caused by the COVID-19 restrictions has been framed as a positive environmental outcome of the pandemic. We conducted an experimental study with a US-representative sample (N = 500) to show that raising awareness of emissions reduction has the contrary effect: an increase in moral self-concept facilitated a negative spillover, namely, it reduced climate-friendly behavioural intentions. Normative influence was able to prevent this negative spillover because activating environmental norms inhibited compensatory feelings. Besides, awareness of recent emissions reduction was less likely to increase the moral self-concept of participants with a strong environmental self-identity. Our findings demonstrate that environmental progress increases moral self-concept which, in turn, could cause a negative spillover (i.e., reduce climate-friendly low-carbon behaviour and increase climate-harmful high-carbon behaviour). Normative influences and environmental self-identity can inhibit this negative spillover.

Poverty Reduction through Growth, Redistribution and Social Inclusion in Times of COVID-19: Kenyan Evidence on the Underlying Mechanisms

The paper looks at the nexus between growth, poverty, inequality and redistribution in Africa, using Kenya as a case study. The existing literature shows a strong causal link from growth to poverty reduction. This link is the basis for the pro-poor poverty reduction strategy. There is evidence from the AERC studies that, poverty reduction in a given period is associated with higher growth rates in successive periods that are inequality-reducing and conceptually long lasting. This virtuous spiral of poverty reduction, higher growth and less inequality over time, is the basis for the pro-growth poverty reduction strategy that has recently been emphasized in the literature (Thorbecke and Ouyang, 2022). The two poverty reduction strategies, a pro-poor strategy and a pro-growth poverty reduction one, complement each other, sustaining household escapes from poverty over time. The paper provides evidence from Kenya showing that human capital formation is the key mechanism underlying the virtuous spiral of lower poverty, higher growth and less inequality as the economy progresses through time. A perspective on robustness of the virtuous spiral in the context of COVID-19 and other pandemics is offered in the concluding section of the paper.

Predicting Fact-Checking Health Information Before Sharing Among People with Different Levels of Altruism: Based on the Influence of Presumed Media Influence.

Background: Pervasive health misinformation on social media affects people's health. Fact-checking health information before it is shared is an altruistic behavior that effectively addresses health misinformation on social media. Purpose: Based on the influence of presumed media influence (IPMI), this study serves two purposes: The first is to investigate factors that influence social media users' decisions to fact-check health information before sharing it in accordance with the IPMI model. The second is to explore different predictive powers of the IPMI model for individuals with different levels of altruism. Methods: This study conducted a questionnaire survey of 1045 Chinese adults. Participants were divided into either a low-altruism group (n = 545) or a high-altruism group (n = 500) at the median value of altruism. A multigroup analysis was conducted with R Lavaan package (Version 0.6-15). Results: All of the hypotheses were supported, which confirms the applicability of the IPMI model in the context of fact-checking health information on social media before sharing. Notably, the IPMI model yielded different results for the low- and high-altruism groups. Conclusion: This study confirmed the IPMI model can be employed in the context of fact-checking health information. Paying attention to health misinformation can indirectly affect an individual's intention to fact-check health information before they share it on social media. Furthermore, this study demonstrated the IPMI model's varying predictive powers for individuals with different altruism levels and recommended specific strategies health-promotion officials can take to encourage others to fact-check health information.

Different platforms, different plots? The Kremlin-controlled search engine Yandex as a resource for Russia's informational influence in Belarus during the COVID-19 pandemic

Extant research demonstrated that the algorithms of the Kremlin-controlled search engine Yandex, compared to those of its US-based counterpart Google, frequently produce results that are biased toward the interests of Russia's ruling elites. Prior research, however, audited Yandex's algorithms largely within Russia. In contrast, this study is the first to assess the role of Yandex's web search algorithms as a resource for Russia's informational influence abroad. To do so, we conduct a comparative algorithm audit of Google and Yandex in Belarus, examining the visibility and narratives of COVID-19-related conspiracy theories in their search results. By manually analysing the content of 1320 search results collected in mid-April to mid-May 2020, we find that, compared with Google, (1) Yandex retrieves significantly more conspiratorial content (2) that close to exclusively suspects US plotters to be behind the pandemic, even though the virus spread from the Chinese city of Wuhan across the globe.

Factors Influencing the Use of Ubiquitous Learning in Higher Education in Sichuan, China in the Aftermath of Covid-19 Pandemic

This research aims to investigate factors for adoption of ubiquitous learning (u-learning) in higher education in China in the wake of the COVID-19 pandemic. Literature and theoretical models for adoption of ubiquitous learning were examined to find the key factors that would influence ubiquitous learning adoption which include performance expectancy, effort expectancy, social influence, facilitating conditions, intention to use and actual use. The research uses a quantitative, survey-based research design, employing online data collection. The study applied multistage sampling. First, a non-probability sampling method, judgmental sampling was used to draw a population of Chinese higher education students in Sichuan, China at three institutions: – Sichuan Normal University Fine Arts College, Sichuan University of Arts and Sciences Academy of Art and Design, and Dazhou Vocational and Technical College Art Department. Second, stratified random sampling was applied to calculate the number of students to represent each program. Lastly, a sample size of 420 was determined based on the ratio of the number of students in each institution to the total number of populations, were selected through convenience sampling. For analysis of data, Confirmation Factor Analysis (CFA) and structural equation modeling (SEM) were utilized. The analysis showed that intention to use has the strongest effect on actual system use. Furthermore, effort expectancy, facilitating conditions, and social influence except performance expectancy were found to positively affect the intention to use u-learning. Hence, policymakers, universities executives, and educators are recommended to consider these factors to ensure technology adoption success.