Key Factors Related to Cyber Security Affecting Consumer Attitude in Online Shopping: A Study in Bangladesh

Cybersecurity is an increasingly important factor in consumer attitudes toward online shopping. Online shopping has become an essential part of our lives in this digital era. As the popularity of online and e-commerce shopping continues to grow, so does the potential for cyber threats and attacks. As more and more consumers turn to online shopping, cyber threats such as hacking, identity theft, and credit card fraud have become more frequent. Therefore, understanding the factors of cybersecurity that affect consumer attitude is essential to build trust and creating a safe and sound shopping environment. This research explores the factors of cybersecurity that affect consumers' attitudes to shopping online and uses a survey to test several hypotheses related to influential cyber factors. Bangladesh is a developing country in Southeast Asia, and like many other countries, has experienced an increase in cyber threats and attacks in recent years. Consumers in Bangladesh face many of the same cyber threats, such as phasing attacks, malware, data breach, and other types of cyber security threats over online shopping. As a result of these cyber threats, online consumers are increasingly concerned about online security risks which may impact their willingness to engage in online shopping. Therefore, it is essential to identify critical factors of cyber security that impact consumers's attitudes toward online shopping to mitigate cyber risk and improve consumer trust in online shopping. This paper provides the result of a research study that will provide a better understanding of factors that influence consumer's trust and engagement with online and E-commerce platforms in Bangladesh) . © 2023 IEEE.

Assessment of the building ventilation and filtration using veriDART method

Adequate and efficient building ventilation and filtration are key factors that play an important part in controlling the spread of airborne pathogens like SARS-CoV2 virus (Allen and Ibrahim, 2021). However, most public buildings lack the ability to test and verify performance of their HVAC and mechanical systems for airborne pathogens due to limitations in existing diagnostic assessment tools. Carleton University performed air sampling campaigns in 24 different spaces to assist in the assessment of our HVAC systems performance across campus. The sampling campaign collected over 600 aerosol samples using veriDART's patented DNA-tagged tracer particles that simulate airborne pathogen mobility and exposure within and between rooms. The primary goal of the survey was to assess aerosol migration at the floor level as well as the potential dilution rate of COVID-19 aerosols. © 2022 17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022. All rights reserved.

GETTING IN SYNCH: UNDERSTANDING STUDENT PERCEPTIONS OF SYNCHRONOUS ONLINE INSTRUCTION

Aim/Purpose This study examines the impact of transitioning from in-person classrooms to remote online business education and provides analysis of key factors impacting course and instructor ratings as well as strategies for higher education institutions to provide engaging instruction. Background "Zoom”ing into teaching and moving out of traditional classrooms during the COVID-19 pandemic has been a path full of twists and has impacted student perceptions of courses as well as instructors. One challenge has been to make the quality of synchronous online instruction perceived by students as positive as classroom-delivered ones. Methodology We analyze primary data collected in the course evaluation process from Business & Accounting students over six semesters between Fall 2019 to Spring 2022, covering pre-pandemic instruction in the classroom and the conversion to virtual instruction via Zoom. A total of 1782 observations for 38 courses were examined using mean comparison, regression and correlation analyses, and pairwise comparisons. Contribution We provide insights from the evaluation of those instructors who were able to make their Zoom-delivered courses perceived by students as equivalent or better than room-delivered ones. Specifically, clear presentation, stimulating delivery, providing feedback and encouraging discussion were positively correlated with successful online classes. Findings We find that there is a clear downward shift in course and instructor ratings as the change to synchronous online delivery was made. However, in the Spring of 2022, even though instructors and students were still not completely back in the classroom, both instructor and course ratings moved back closer to the pre-pandemic levels. The parameters associated with instructor ratings, such as providing feedback, clear presentations, stimulating sessions, and encouraging discussion, showed similar downward fluctuations. Also, aspects related to course content were affected by the transition to online modality, including training on critical thinking quantitative analysis, research and writing abilities, and overall usefulness of the content. Moore's model of Transactional Distance helps explain these changes. Recommendations We recommend that practitioners allow sufficient time for students and faculty for Practitioners to learn through online instruction delivery and supply training for both populations in adapting to learning in this delivery mode. Recommendations The disruption in higher education caused by COVID-19 has provided a wealth for Researchers of information on the pluses and minuses of online delivery. Careful inspection of trends can help provide guidance to higher education leaders. Impact on Society One of the many changes the COVID-19 pandemic brought was the opportunity to try alternate ways of connecting and learning. This study shows how this experience can be used to guide the future of higher education. Future Research Further research is needed to explore the in-depth reactions of students and faculty to the switch from classroom to online delivery, to explore whether these findings can be more broadly applied to other subjects and other types of universities. © 2022 Informing Science Institute. All rights reserved.

Key factors influencing paediatric COVID-19 vaccine hesitancy: a brief overview and Decision-making Trial and Evaluation Laboratory analysis.

OBJECTIVES: The purpose of this study was to examine the current literature on paediatric COVID-19 vaccine hesitancy among parents and identify key influencing factors, thus enabling targeted policy development and implementation. STUDY DESIGN: This was a systematic literature review and Decision-making Trial and Evaluation Laboratory (DEMATEL) analysis. METHODS: A review of the quantitative and qualitative literature focusing on factors influencing paediatric COVID-19 vaccine hesitancy was conducted. Searches were performed in PubMed, ScienceDirect, SpringerLink and Embase. Because of the immediacy of the topic, commentaries were included in addition to research and review articles. Influencing factors were categorised according to the Health Ecology Theory and screened using the DEMATEL method. RESULTS: A total of 44 articles were included in the study, and 44 factors influencing paediatric COVID-19 vaccine hesitancy were identified. Of these, 18 were categorised as key factors using the DEMATEL method, including a history of COVID-19 infection in parents and perceived safety of the paediatric COVID-19 vaccine. CONCLUSIONS: Policymakers and public health personnel should pay more attention to the key factors influencing paediatric COVID-19 vaccine hesitancy. The outcome of this research will benefit and motivate decision-makers to consider strategies to overcome various challenges of COVID-19 vaccine hesitancy.

VISUAL ANALYTICS OF MOBILITY NETWORK CHANGES OBSERVED USING MOBILE PHONE DATA DURING COVID-19 PANDEMIC

The limited exchange between human communities is a key factor in preventing the spread of COVID-19. This paper introduces a digital framework that combines an integration of real mobility data at the country scale with a series of modeling techniques and visual capabilities that highlight mobility patterns before and during the pandemic. The findings not only significantly exhibit mobility trends and different degrees of similarities at regional and local levels but also provide potential insight into the emergence of a pandemic on human behavior patterns and their likely socio-economic impacts. © 2022 IEEE.

Cycling in an ‘ordinary city': A practice theory approach to supporting a modal shift

There has long been evidence of the benefit of a modal shift toward cycling can bring to meeting several pressing urban challenges including ill-health, climate change, and poor air quality. In the wake of COVID-19, policy-makers have identified a modal shift toward cycling as part of the solution to mobility challenges introduced by social distancing measures. However, beyond exemplar areas, cycling has been largely characterized by a stubbornly-low modal share. In this paper, we use the ‘ordinary city'–in cycling terms–of Liverpool as a case study to understand this. We apply practice theory in doing so, finding the provision of materials for cycling is the key factor in supporting a modal shift. Not only do they provide the means to support the practice of cycling in the city, but they also have a key role in shaping individuals perceptions of, and the skills required to cycle. We then reflect upon the utility of practice theory in understanding the patterns of everyday life, finding it was particularly well suited in understanding the interactions between different factors which influence modal choice. We go on to identify practical challenges in its application within our analysis raising questions around an inconsistent analysis of influential factors including ‘driver behavior' and ‘political commitment'. We suggest how this might be overcome, through the isolation of such factors within a category of ‘action of others', this we argue means the findings in this paper have broad relevance to researchers and policy-makers alike. © 2021 The Author(s). Published with license by Taylor and Francis Group, LLC.

Key Factors Influencing Consumers' Behavioral Intention towards Adopting and Using Mobile Commerce Services Amid and Post COVID-19 Pandemic

Meeting customers' requirements and needs is con-sidered a cornerstone of the success of any type of business, regardless of its size. Therefore, engineering the products and services provided by those organizations should be made based on a clear understanding of such requirements. This in turn would increase their market penetration, competitiveness, and of course their profitability. Nowadays, with the emergence of COVID-19 pandemic, a big shift in the people's behavior towards using various electronic means, has been witnessed. Consequently, this had forced the business models to be shifted as well to cope with such changes in the behavior. In this research, we focused on exploring the main drivers of people's willingness to adopt mobile commerce services during times of pandemic. The research was conducted based on feedback collected from users of mobile commerce services in Jordan. The results showed that performance expectancy, personal innovativeness, and habit, had a positively significant impact on Jordanian customers' behavioral intention to adopt such services during the COVID-19 pandemic. © 2022 IEEE.

Convergence between technology and education for sustainable development in Latin America

The use of new technologies in education (computers and other devices) is a key factor that allows cost reduction, since physical material is no longer necessary and everything can be done through a program or app, making it easier for students and teachers to search and deliver quality information quickly and efficiently in real time. The objective of the work is to emphasize the strength of technology in higher education to favor integration, the modest but encouraging opportunities and results that have been achieved, as an ecumenical and dynamic factor in the integration process. The methodology is qualitative in approach, since a documentary analysis is developed through the collection of material, books and articles that allow us to reflect on the possibility of carrying out more in-depth studies on the convergence between education and technologies. The results reflect a technological evolution of Education 4.0 and the concepts that support higher education in the digital era, the pedagogical and academic trends that support it, and its impact on the virtualization of higher education. In the conclusions we perceive the new trends in digital education, the pandemic by covid-19 accelerated changes in study methods with the obligation of virtual study through similarities that describe the convergences and divergences between educational conceptions and technologies. © 2022 IEEE.

MFCC-based deep convolutional neural network for audio depression recognition

Emotions are a key factor affecting online learning, which has become the new normal due to the COVID-19 pandemic. Identifying students' emotions has important educational implications. Long-term negative emotions can lead to depression, and early identification can help reduce stress and improve learning efficiency. For depressed students in desperate need, current diagnoses are expensive and highly subjective. In response to the above problems, this paper proposes a method for automatic diagnosis of depression with the help of deep convolutional neural networks (Convolutional Neural Network, CNNs). This method inputs the Mel-frequency cepstral coefficients (MFCC) feature maps generated by the preprocessed speech into residual CNNs for training, and adjusts the number of layers and nodes of the network to achieve the highest recognition accuracy. The experimental results are achieved through different residual depths. In ResNet-34, the highest accuracy rate can reach 77%. This will effectively promote the process of emotion recognition research and promote the efficient development of online learning. © 2022 IEEE.

Identifying the key factors to China's unsustainable external circulation through the accounting of the flow of embodied energy and virtual water

In 2020, China launched the Dual Circulation Strategy to tackle difficult international trade situations and COVID-19. To examine the environmental pressure induced by China's domestic and international trade from the perspective of dual circulation, this study quantifies the flows of embodied energy and virtual water in China's domestic and international trade and analyzes the driving factors to the net outflow, using the multi-regional input-output model and spatial structural decomposition method. The main findings of this study are: (1) Domestic trade of China alleviated the pressures of both energy and water shortage through the flow of embodied energy from Northern to Southern and Eastern regions and the flow of virtual water from Southern to Northern regions. In contrast, international trade yet increased China's environmental burden and tends to be unsustainable. (2) Production structure effect was the key factor to the net outflow of embodied energy (contribution degree: 58%) and virtual water (contribution degree: 46%) to major economies. For China, the export scale effect and export structure effect played an important role in increasing the net outflow of China's embodied energy, with contribution degrees of 17% and 23%, respectively, while the export structure effect and water efficiency effect reduced the net outflow of virtual water, with contribution degrees of −23% and −19%, respectively. Multidimensional Policies, including industrial structure transition, renewable energy deployment, resource efficiencies improvement, trade pattern upgrade, and regional free trade promotion, are suggested for implementing the Dual Circulation Strategy, considering environmental sustainability and industrial competition advantages. © 2022 Elsevier Ltd

Student perceptions of the virtualization of teaching by COVID-19: the case of the Master's Degree in Tourism at the University of Huelva

The virtualization of the Tourism Master's Degree at the University of Huelva during the COVID-19 pandemic was a success and this study analyzed the key factors in this successful virtualization, according to the perception of its students. For this, it was decided to carry out a causal analysis using the methodology of fuzzy cognitive maps and the results achieved glimpsed the role of the teacher in this success. © 2022 IEEE.

Predictors and Outcomes of Healthcare-Associated Infections among Patients with COVID-19 Admitted to Intensive Care Units in Punjab, Pakistan; Findings and Implications.

Healthcare-associated infections (HAIs) have a considerable impact on morbidity, mortality and costs. The COVID-19 pandemic resulted in an appreciable number of hospitalized patients being admitted to intensive care units (ICUs) globally with a greater risk of HAIs. Consequently, there is a need to evaluate predictors and outcomes of HAIs among COVID-19 patients admitted to ICUs. A retrospective study of patients with COVID-19 admitted to ICUs of three tertiary care hospitals in the Punjab province over a five-month period in 2021 was undertaken to ascertain predictors and outcomes of HAIs. Of the 4534 hospitalized COVID-19 patients, 678 were admitted to ICUs, of which 636 patients fulfilled the inclusion criteria. Overall, 67 HAIs were identified among the admitted patients. Ventilator-associated lower respiratory tract infections and catheter-related urinary tract infections were the most frequent HAIs. A significantly higher number of patients who developed HAIs were on anticoagulants (p = 0.003), antithrombotic agents (p < 0.001), antivirals (p < 0.001) and IL-6 inhibiting agents (p < 0.001). Secondary infections were significantly higher in patients who were on invasive mechanical ventilation (p < 0.001), had central venous access (p = 0.023), and urinary catheters (p < 0.001). The mortality rate was significantly higher in those with secondary infections (25.8% vs. 1.2%, p < 0.001). Our study concluded that COVID-19 patients admitted to ICUs have a high prevalence of HAIs associated with greater mortality. Key factors need to be addressed to reduce HAIs.

Constructing a hybird model for the evaluation of the service quality of O2O platforms

The spread of COVID-19 has led many people to turn to O2O platforms to buy daily supplies leading to a boom in the O2Oe-commerce industry. How to improve the service quality of O2O platforms to attract more customers has become an important concern for service providers. This study differs from previous statistical analysis studies in that it applies the data mining methodology to extract the key factors that affect the service quality of O2O e-commerce platforms. A hybrid multi-criteria decision-making method is then utilized to obtain the influence relationships and weights of the dimensions and criteria. The results suggest that privacy security, and reliability have a positive impact on social interaction, recommendation quality, efficiency and empathy. Empathy, social interaction and recommendation quality are the three most important factors for evaluating the service quality of O2Oe-commerce platforms. Finally, the theoretical implications and management implications based on the findings are discussed. © 2022 IEEE.

Industry 4.0: Predicting lead conversion opportunities with machine learning in small and medium sized enterprises

The crisis caused by COVID-19 accelerated processes of changes in the global economy, leading to changes in companies in structures, business models and routines. Small and Medium Enterprises (SME) in particular have faced challenges in finding paths for the journey of digital transformation and adaptation to the industry 4.0 era, which turns integration a key factor. The goal of this work is to predict the likelihood of conversion using Machine Learning (ML), with the purpose of improving the process of converting opportunities in SME in the education sector. The work is based on the Digital Transformation Model for SME (MTD_PMEs), a specific approach in ML technology and Knowledge Discovery in Databases (KDD). The methodology involves a three-step sequence of the KDD_AZ process. Data were collected from a university center in southern Brazil. Results indicate that the 8 attributes used are relevant for forecasting lead conversion and that the chosen technique, Logistic Regression reached a gross precision of 100%, implying an increase in the conversion rate, time savings for the teams and filter leads "unlikely", helping marketing improvements in its targeting and providing qualified leads. © 2022 Elsevier B.V.. All rights reserved.

Research on factors of marine ranch leisure fisheries development based on multiple orderly logit model

Based on the survey of 43 Marine ranches and 260 consumers, this paper uses the diversified and orderly Logit model to study the significant factors affecting the development of recreational fishery in Marine ranches.The study found that six factors, including consumer gender, individual economic strength, consumer demand for Marine pasture products, brand construction level of Marine pasture recreational fishery, online channel promotion level of Marine pasture recreational fishery and the impact of COVID-19 epidemic, had a significant impact on the development of Marine pasture recreational fishery.This paper divides tower into product development and brand building, marketing and daily operation three dimensions, suggest operators improve the level of recreational fishery product development and brand building, develop differentiation price, develop online channels, strengthen the whole process communication, innovation under the outbreak of daily operation mode, expand the market share, so as to enhance the competitiveness of Marine pasture recreational fishery. © 2022 SPIE.

A Review on Face Mask Detection Techniques for COVID-19 prevention

The World Health Organization (WHO) has stated two modes of transmission of the coronavirus disease (COVID-19) virus viz., respiratory droplets, and physical contact. Hence, there is a need to take some precautionary measures to avoid the spread of this virus such as social distancing and wearing masks. Between these two precautions, wearing a mask is considered to be the key factor for preventing the spread of the virus as these respiratory droplets can land on any surface. Therefore, keeping track of whether people are wearing masks or not is of utmost importance. Using deep learning, a computer-friendly COVID-19 face mask detector can be efficiently created that can help in identifying people without masks, thus, preventing COVID-19 from further spreading. This paper covers different techniques for detecting whether a person in the camera, picture, or video is wearing a mask or not. © 2022 IEEE.

Precise Integrated Contactless Attendance Tracking, Recording and Analyzing System

Managing employee attendance is a key factor for a large organization since the staff is the main resource for them. In Sri Lanka, currently, there are various methods used to track the attendance of employees, and the traditional manually assigning paper-based signature mechanism, fingerprint method, card strap Radio Frequency Identification (RFID), and biometric-based attendance recording systems such as fingerprint recognition methods are generally used. Most of the systems offer either one-way or two-way authentication for recording the attendance.In this project, we aim to upgrade the customary used individual authentication systems into a single, integrated contactless and biometric-based identity system. To achieve this, a facial recognition mechanism along with the card strap of RFID and fingerprint authentication mechanism(optional) are combined into a singular attendance managing system which can provide the flexibility to use multi-optional biometric identification methods to verify one's identity and mark their attendance. To address the Covid 19 pandemic situation, the system is also equipped with a contactless InfraRed (IR) thermal sensor to detect the temperature of each employee before they mark attendance. As a result, it automates the manual temperature monitoring method of employees without the involvement of another person. The resultant attendance is recorded data in a cloud service platform (Amazon Web Services(AWS)) in real-Time and later analyze the stored attendance data using a Database platform. Due to the high secureness of the system, unethical activities conducted by employees when marking attendance can be avoided thus increasing the performance of the organization in the long-Term run. © 2022 IEEE.

CNN for Hand Washing Movement Classification: What Matters More - the Approach or the Dataset?

Good hand hygiene is one of the key factors in preventing infectious diseases, including COVID-19. Advances in machine learning have enabled automated hand hygiene evaluation, with research papers reporting highly accurate hand washing movement classification from video data. However, existing studies typically use datasets collected in lab conditions. In this paper, we apply state-of-the-art techniques such as MobileNetV2 based CNN, including two-stream and recurrent CNN, to three different datasets: a good-quality and uniform lab-based dataset, a more diverse lab-based dataset, and a large-scale real-life dataset collected in a hospital. The results show that while many of the approaches show good accuracy on the first dataset, the accuracy drops significantly o n t he m ore complex datasets. Moreover, all approaches fail to generalize on the third dataset, and only show slightly-better-than random accuracy on videos held out from the training set. This suggests that despite the high accuracy routinely reported in the research literature, the transition to real-world applications for hand washing quality monitoring is not going to be straightforward. © 2022 IEEE.

Gamification with Datathon: An Industry Case Study on COVID-19

Technology surrounds Human society, and through which trillion tons of Data are readily available in different forms. Gamification is becoming a part of the human lifestyle through entertainment, fun, or learning and growing immensely in various industries such as e-commerce marketing. Data has become available to a large extent but extracting valuable information is still a question in different sectors. Moreover, to handle big data, several organizations are making investments and trying to hire talent from around the globe. This paper discusses the industry case studies that reflect the importance of gamified event Datathon to solve such problems. During COVID-19, where Data plays a key factor, valuable case studies are discussed and analyzed in this paper. Gamification offers users different pleasures through achievement and competition, and Datathon is prominent in problem-solving for emerging data but lacks the gap in studies. This research paper highlights the various aspects of the true gamification benefit implemented across industries through Datathon to solve significant problems. The author shares detailed insights by discussing the case studies considering different regions and sectors and analyzing during the COVID-19 pandemic. © 2022 IEEE.

Interviewing Young Thai Adults About Changes in Brand Consumption During Covid-19 Lockdowns

Over the past two years, the Covid-19 pandemic has changed the way customers consume brands during the periodic lockdowns that happened in Thailand. Twenty young Thai adults were interviewed in a qualitative research about changes in their brand consumption as a direct result of having to stay at home for months to prevent the spread of Covid-19. The interviewees were asked open-ended questions about their favorite and most consumed brands before lockdowns and how the preferences changed during lockdowns as well as how the pandemic has changed their brand perceptions. The results showed a huge and relatively permanent increase in customers spending more time and money online with their preferences shifting to brands that have a strong digital presence. In order for companies to adapt to these changes, they must prioritize maximizing value through key factors which include smoothly transitioning to digitization, offering affordable products with constant promotions, and ensuring fast, reliable deliveries. © 2022 IEEE.