E-Learning Readiness Assessment Using Machine Learning Methods

Assessing e-learning readiness is crucial for educational institutions to identify areas in their e-learning systems needing improvement and to develop strategies to enhance students' readiness. This paper presents an effective approach for assessing e-learning readiness by combining the ADKAR model and machine learning-based feature importance identification methods. The motivation behind using machine learning approaches lies in their ability to capture nonlinearity in data and flexibility as data-driven models. This study surveyed faculty members and students in the Economics faculty at Tlemcen University, Algeria, to gather data based on the ADKAR model's five dimensions: awareness, desire, knowledge, ability, and reinforcement. Correlation analysis revealed a significant relationship between all dimensions. Specifically, the pairwise correlation coefficients between readiness and awareness, desire, knowledge, ability, and reinforcement are 0.5233, 0.5983, 0.6374, 0.6645, and 0.3693, respectively. Two machine learning algorithms, random forest (RF) and decision tree (DT), were used to identify the most important ADKAR factors influencing e-learning readiness. In the results, ability and knowledge were consistently identified as the most significant factors, with scores of ability (0.565, 0.514) and knowledge (0.170, 0.251) using RF and DT algorithms, respectively. Additionally, SHapley Additive exPlanations (SHAP) values were used to explore further the impact of each variable on the final prediction, highlighting ability as the most influential factor. These findings suggest that universities should focus on enhancing students' abilities and providing them with the necessary knowledge to increase their readiness for e-learning. This study provides valuable insights into the factors influencing university students' e-learning readiness.

Telecommuting and Teleworking (Teleportability): A Sustainable Socio-Economic Transformation Mechanism in the Post COVID-19 Era

Organizations, societies, and economies are the scope of sustainability in every community. The growing realization of electronically-enabled business as critical drivers of sustainable economic growth and development especially during crisis is no doubt propelling nations into harnessing the benefits of enterpreneural transformation in the 21st century and post covid-19 era. Teleworking and Telecommuting are technologies that have the ability to enable ubiquitous digital service transmissions needed to combat and curtail the prevalence of pandemics such as Covid-19. Capabilities of telecommuting can be effectively utilized to address the challenges associated with Covid-19 presently and in the post covid-19 era including threats in war-turned geographical spaces. However, there is the paucity of such knowledge, orientation and awareness amongst entrepreneurs, industries and companies in developing countries like Nigeria. This lacuna, if properly bridged will help unpack the link between production, consumption and service delivery in an emerging economy. This paper examines the notional impact of the concept of telecommuting and teleworking as a mechanism for a sustainable economic transformation and global repositioning of the work force beyond the covid crisis. Furthermore, it analyzes and juxtaposes the readibility of business environments to ensure their employee's safety in the work place and remote working, thus providing continuity to economic, productive and business activity. This conceptual study uses the interpretive paradigm, through deductive analysis to draw the conclusion that there is a very poor level of deployment of telecommuting and teleworking models in countries like Nigeria during crisis and pandemics and therefore recommends that organizations adopt this mechanism to propel safety of the workforce and reduce cost. With the approval for the operation of the 5G network in the Nigerian telecommunications space, entrepreneurs can explore the gains to sustain remote working or working from home in the post-covid-19 era.

Market development strategy and process performance of knowledge-intensive SMEs in the epidemic era: a process-oriented perspective

PurposeThis study analyzes in-depth how knowledge-intensive small and medium-sized enterprises (SMEs) can achieve higher new product development (NPD) process performance in the epidemic era and examine the internal development mechanism of knowledge-intensive SMEs in the process of continuous digital transformation.Design/methodology/approachThis issue is tested with partial least squares on data collected via a survey conducted from November 2021 to February 2022. The sample comprises 487 knowledge-intensive SMEs operating in China.FindingsThe results indicate that one form of cross-functional ambidexterity, market development strategy (MDS), plays an important role in process performance from an inside-out financial perspective and an outside-in customer perspective. Simultaneously, product innovation efficiency (PIE) mediates the relationship between MDS and the above results. Big data analytics capabilities (BDACs) positively regulate the relationship between MDS and PIE.Research limitations/implicationsThe authors do not consider other contingency factors. Future research should introduce influential factors such as leadership and competitive intensity to further distinguish the effects of MDS on NPD process performance.Practical implicationsThe study findings offer suggestions to help knowledge-intensive SME managers better manage their NPD process by making better use of their limited resources in developing countries such as China.Originality/valueThis study is one of only a few to adopt a process-oriented perspective to specifically examine how one form of cross-functional ambidexterity, MDS, impacts knowledge-intensive SME process performance in the epidemic era. This study also extends the theoretical framework of cross-functional ambidexterity to BDAC research.

Social insecurity and varieties of family resilience strategies during the COVID-19 pandemic

PurposeThis study is aimed at developing an understanding of the consequences of the pandemic on families' socioeconomic resilience, and the strategies adopted by the families in overcoming social vulnerabilities amid uncertainty.Design/methodology/approachThe materials for this study consist of semi-structured interviews with 21 families spread across the South Sumatra Province, Indonesia. Families in the study represent four different income levels, namely very high, high, middle and low, and who also work in the informal sector. Each family has at least 1 or more members who fall into the vulnerable category (children, the elderly, people with disabilities unemployed or having potential economic vulnerability).FindingsTwo main findings are outlined. Regardless of their socioeconomic status, many of the families analyzed adopted similar strategies to remain resilient. Among the strategies are classifying the urgency of purchasing consumer goods based on financial capacity rather than needs, leveraging digital economic opportunities as alternative sources of income, utilizing more extensive informal networks and going into debt. Another interesting finding shows that the pandemic, to some extent, has saved poor families from social insecurity. This is supported by evidence showing that social distancing measures during the pandemic have reduced the intensity of sociocultural activities, which require invited community members to contribute financially. The reduction of sociocultural activities in the community has provided more potential savings for the poor.Research limitations/implicationsIn this study, informants who provided information about their family conditions represent a major segment of the workforce and tend to be technologically savvy and younger, due to the use of Zoom as a platform for conducting interviews. Therefore, there may be a bias in the results. Another limitation is that since the interviewees were recommended by our social network in the fields, there is a risk of a distorted selection of participants.Originality/valueThis study offers insights that are critical in helping to analyze family patterns in developing countries in mitigating the risks and uncertainties caused by COVID-19. In addition, the literature on social policy and development could benefit from further research on COVID-19 as an alternative driver to identify mechanisms that could bring about change that would result in "security.” Critical questions and limitations of this study are presented at the end of the paper to be responded to as future research agenda.

Can Domestic Food Production Provide Future Urban Populations with Food and Nutrition Security?—Insights from Bangladesh, Kenya and Uganda

Population growth and urbanization increasingly put pressure on our planet's availability of areas needed for food production. The dependencies on domestically produced food are increasingly judged favourable, following the consequences of the Ukrainian war, with escalating fuel and grain prices and less accessibilities to low-income groups. It is, however, unclear whether land is domestically available. Applying a food system approach, the main aim of this article is to investigate spatial foodsheds and theoretical self-sufficiency for food production needed to supply increasing future populations in a selection of cities, including estimates for Dhaka in Bangladesh, Nairobi in Kenya and Kampala in Uganda. The projected foodshed scenario areas for the years 2020 and 2050 are estimated for the production of three core products currently extensively produced and consumed in the three countries. They show that it is not possible to feed an ever-increasing urban population based on domestic production alone. International trade, new technological developments and new consumer demands for less area-intensive food production systems may give solutions to the immense challenge of feeding the world's population with nutritious food in 2050. However, to ensure fair and inclusive transition pathways for low-income groups: (1) affordability and accessibility of trade opportunities, technologies and products, (2) a common vision aiming for the SDGs, including SDG2: Zero hunger and SDG11: Sustainable Cities and Communities as well as (3) best practices in co-creation and cooperation with the most vulnerable urban and rural populations, are highly needed.

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.

Empirical investigation into impact of IT adoption on supply chain agility in fast food sector in Pakistan

Information technology and supply chain agility are in vogue. The present study aims to investigate the impact of information technology (IT) on supply chain agility and its outcomes such as cost reduction and operational performance in fast food companies' chains. A total of 240 employees from fast food chains were selected as respondents. Data was collected using five-point Likert scale questionnaire developed from previous studies. The statistical results confirmed that adoption of IT is playing a vibrant role in achieving supply chain agility and supply chain agility helps to reduce cost and improves operational performance of firms. The study model provides a useful framework to examine the impact of IT adoption on supply chain agility and its outcomes. In conclusion, the firms have to focus on their supply chain management and make it efficient and agile by implementing the advanced technologies to gain operational performance. Implications have been discussed.

Direct selling: tackling the challenge of women's inclusion within the base of the pyramid (BOP) labour market during COVID era

The exclusion of women from the labour market continues to be one of the leading causes of poverty within the base of pyramid (BOP) labour market. Using Kabeer's women empowerment framework, this research aggregates some support that direct selling may be a pathway to increase the inclusion of women within the BOP labour market and alleviate poverty;the complexities presented by the COVID-19 pandemic provide a unique context to test this proposition. Drawing on the social constructivist approach, we conducted semi-structured interviews with women engaged in direct selling in the BOP market in a Middle Eastern country. The study revealed four key themes throughout the participants' narratives of their experience working in direct selling businesses within the context of COVID-19. These themes are agency, resources, achievement, and precarious work. Our study also explored how the pandemic facilitated the female labour force's inclusion within the direct selling business in the BOP labour market. We concluded that engaging in direct selling has promoted the inclusion of women in labour markets;however, direct selling is still not considered a secure employment option, and direct sellers are exposed to poor pay, employment insecurity, and lack of employment benefits.

A Quantitative Analysis of Barriers to International Telemedicine Education: The Case of the Philippines

A multitude of studies have investigated the opportunities and limitations of telemedicine pre- and post-COVID-19 pandemic. However, most of the research has focused on telemedicine's constraints in the context of international, regional, and developed nations, with few studies examining the specific challenges that may affect telemedicine's progress in developing countries where the pandemic may have exacerbated existing technological and geographical difficulties. This study takes the Philippines as a case study due to its archipelagic location, use of English as an official language, and other factors that influence its adaptability to international telemedicine. We assessed the barriers and challenges to the advancement of telemedicine from four viewpoints: policy, organization, individual, and collaboration between organizations. Therefore, the significance of this study is twofold: (a) to concentrate on international telemedicine education by contrasting domestic and international practices, and (b) to newly reveal connections between each component, as prior research highlighted barriers and difficulties but did not clarify relationships among different elements. We surveyed and interviewed 38 physicians, technicians, coordinators, and staff involved in telemedicine education in the Philippines. The study found that (1) public support yields favourable results, (2) a strong correlation exists between domestic and international telemedicine, (3) communication and technical obstacles are interconnected, (4) unity and cooperation in intra-hospital collaboration are critical, and (5) comprehending the "significance of work" has a positive impact. This study underscores the intersectionality of several barriers to telemedicine development. It also recommends providing greater support for telemedicine education in developing nations and promoting collaboration between developing and developed nations. Copyright © 2023 by SCITEPRESS - Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)

Acceptance of Mobile Learning Technology by Teachers: Influencing Mobile Self-Efficacy and 21st-Century Skills-Based Training

This study aimed to investigate the factors influencing the acceptance of mobile learning technology for 21st-century skills-based training among teachers in Saudi Arabia and Pakistan. This study adopted the Unified Theory of Acceptance and Use of Technology (UTAUT) model, which included constructs such as performance expectancy, effort expectancy, facilitating conditions, social influence, mobile self-efficacy, student self-efficacy, behavioural intention, 21st-century skills-based training, and creative thinking skills. A survey was conducted with 619 teachers from Saudi Arabia and Pakistan who participated in a two-week mobile learning-based training session. The data were analysed using structural equation modeling (SEM). The results show that all hypotheses were supported, indicating a positive relationship between the constructs and the acceptance and use of mobile learning technology for 21st-century skills-based training. This study's findings suggest that by emphasising factors such as performance expectancy, effort expectancy, facilitating conditions, social influence, mobile self-efficacy, and student self-efficacy when designing mobile learning interventions, teachers will be more likely to accept and use mobile learning technology for 21st-century skills-based training and contributed to sustainability by providing increased access to quality education.

Drivers of digital supply chain transformation in SMEs and large enterprises – a case of COVID-19 disruption risk

PurposeDigital transformation in supply chains (SCs) has emerged as one of the most effective ways to minimize SC disruption risks. Given the unprecedented impact of the COVID-19 pandemic on global SCs, this study aims to identify and provide empirical evidence about the drivers of digital SC transformation, considering the interactivity between environmental dynamism, technology, and organizational capabilities during the pandemic era.Design/methodology/approachUsing partial least squares structural equation modeling (PLS-SEM), this study examines 923 firms in Vietnam to ascertain the drivers of digital SC transformation between small- and medium-sized enterprises (SMEs) and large enterprises, based on the technology–organization–environment (TOE) as an overarching framework.FindingsThis study finds that greater digital SC transformation adoption could be achieved under the interactivity between the TOE components of firms' technological competencies, learning capabilities, and disruptions in socioeconomic environments due to the COVID-19 pandemic. Moreover, a multigroup analysis shows that the drivers of digital SC transformation differ between SMEs and large enterprises. SMEs were found to be more motivated by the COVID-19 disruption risk when adopting digital SC models.Originality/valueThis study represents an original and novel contribution from Vietnam as an emerging market to the literature on the impact of COVID-19 on the global value chain. Apart from the unique dataset at the firm level, the analysis of interactions between external and internal drivers of digital SC transformation could provide crucial managerial implications for SMEs to survive major disruptions, such as those caused by the COVID-19 pandemic.

Learning through radio and television during COVID-19: perspectives of K-12 stakeholders

The COVID-19 pandemic has disrupted traditional education, leading to the adoption of alternative methods, such as learning through radio and television for K-12 students. Television and radio became popularly adopted platforms to disseminate educational resources during the pandemic in developing countries, such as Nigeria. This study gathers the perspective of K-12 teachers and students during the crisis to find out the effectiveness of the utilized platforms, examine the challenges encountered, and suggest the way forward in case of future occurrence. The concerns-Based Adoption Model (CBAM) guided the study. A qualitative methodology of interpretivism was employed using 20 participants that comprise students and teachers across the five south-western states in Nigeria. Findings show that teachers adapted their lessons to be delivered through broadcasts, while school administrators have worked closely with broadcasters to develop and implement educational content. Students have had mixed experiences, with some finding radio and television engaging, while others face challenges with engagement and adaptability. In essence, the result shows that most of the respondents though acknowledged the effectiveness of the radio and television approach to learning but opined that the lessons are not detailed enough. Furthermore, educational television broadcast is preferable to radio lessons as the visual effect contributes significantly to learning. The study concludes that broadcasters have played a critical role in delivering educational content, partnering with schools, and developing programs that align with the curriculum during the pandemic. The study discussed its implication, followed by limitations, and gave direction for future studies.

Face Mask detection using Mask R-CNN to control the spread of Covid-19

Business executives are developing cutting-edge digital solutions as the virus outbreak spreads. A face mask detection system is one of them, and it can be used to spot people wearing them. Face mask identification software and applications have already been released by a few businesses, and others have promised to do the same for the service. The proposed work examines face mask detection accuracy using CNN networks. Mask wear is now required in many developed and developing countries worldwide when leaving the house or entering public spaces. It will be difficult to maintain touchless access control in buildings while recognising faces wearing masks on any surveillance systems. Masks covering faces has made face detection algorithms and performance difficult. The proposed work detect face mask labeled no mask or mask with detection accuracy. The work train the system to click images of a face and provide labeled data. The work is classified using Convolution Neural Network (CNN), a Deep learning technique, to classify the input image with the help of the classification algorithm MobileNetV2. The trained system shows whether a person in the video frame is wearing a mask or not. © 2023 IEEE.

Effect of Remittance Inflows on External Debt in Developing Countries

This paper analyzes the effect of remittance inflows on external debt in developing countries, by identifying international reserves as a potential transmission channel. Using panel data over the period 1970–2017 and covering 50 low-and middle-income countries worldwide, we find a positive and significant effect of remittance inflows on the external debt-to-GDP ratio. We also find a negative and significant effect of international reserves on external debt. After controlling for international reserves, the effect of remittance inflows on external debt increases;it remains positive and significant. The results suggest that the role of international reserves as a self-insurance mechanism, and the Dutch disease effect related to remittance inflows are at play. In addition, we find negative and significant effects of economic growth and savings-investment gap on external debt. We also find positive and significant effects of the nominal exchange rate and the United States lending interest rate on external debt. We discuss the policy implications of these findings, while highlighting factors that policymakers should focus on for containing external debt in developing countries in the post-COVID-19.

Trends Affecting Biopharmaceutical Manufacturing

The landscape for bioprocessing continues to evolve, driven by many externally imposed trends that have been combined with ongoing technological changes and internal progress in bioprocessing. [...]most ongoing bioprocessing-related trends are not new and are reported after they become evident or familiar, making it difficult to cite when a specific trend starts and ends. The Top 1000+ Global Biopharmaceutical Facilities Index currently tracks over 1900 facilities worldwide with total estimated bioreactor capacity now over 17.3 million litres, including >720 facilities with an >2000 L capacity (2). * More biosimilars, biobetters, and biogenerics, with continued expansion in developed markets and capturing growing market shares in developing countries, due to an increase in prices of the originals. * Single-use bioprocessing systems will continue to rapidly displace commercialscale stainless steel-based manufacturing, both at commercial manufacturing and clinical scales. * Expansion of second-source bioprocessing facilities to combat supply chain issues due to the COVID-19 pandemic. * Flexible manufacturing facilities, including modulation, further aided by the increased adoption of single-use bioprocessing systems. [...]of this build-up and investment, non-pandemic projects continue to be shifted out to contract manufacturing organizations (CMOs).

IMPACT of the PANDEMIC on FINTECH ADOPTION by DEVELOPING COUNTRIES

This article initially analyzed how FinTech has developed, how it is divided into stages and how it is being used. Then the impact of the COVID-19 pandemic on digital finance and fintech adoption is examined, and eventually it is found that worldwide mobile financial app downloads have increased during Covid-19 and that many businesses have begun to make extensive use of financial technologies. We will also look at the various advantages and disadvantages of FinTech. © 2022 ACM.

Empirical Review of Various Thermography-based Computer-aided Diagnostic Systems for Multiple Diseases

The lifestyle led by today's generation and its negligence towards health is highly susceptible to various diseases. Developing countries are at a higher risk of mortality due to late-stage presentation, inaccessible diagnosis, and high-cost treatment. Thermography-based technology, aided with machine learning, for screening inflammation in the human body is non-invasive and cost-wise appropriate. It requires very little equipment, especially in rural areas with limited facilities. Recently, Thermography-based monitoring has been deployed worldwide at various organizations and public gathering points as a first measure of screening COVID-19 patients. In this article, we systematically compare the state-of-the-art feature extraction approaches for analyzing thermal patterns in the human body, individually and in combination, on a platform using three publicly available Datasets of medical thermal imaging, four Feature Selection methods, and four well-known Classifiers, and analyze the results. We developed and used a two-level sampling method for training and testing the classification model. Among all the combinations considered, the classification model with Unified Feature-Sets gave the best performance for all the datasets. Also, the experimental results show that the classification accuracy improves considerably with the use of feature selection methods. We obtained the best performance with a features subset of 45, 57, and 39 features (from Unified Feature Set) with a combination of mRMR and SVM for DB-DMR-IR and DB-FOOT-IR and a combination of ReF and RF for DB-THY-IR. Also, we found that for all the feature subsets, the features obtained are relevant, non-redundant, and distinguish normal and abnormal thermal patterns with the accuracy of 94.75% on the DB-DMR-IR dataset, 93.14% on the DB-FOOT-IR dataset, and 92.06% on the DB-THY-IR dataset. [ FROM AUTHOR] Copyright of ACM Transactions on Intelligent Systems & Technology is the property of Association for Computing Machinery and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Do the people of Jakarta trust Jakarta Kini super application?

Research trust in e-government has increased through the decades. Trust in e-government is an important instrument for citizens who intend to use digital services. The aim of this research is to measure and provide an overview of how the level of people trust Jakarta Kini super-application as an e-Government in DKI Jakarta. This study uses a factor score analysis with the Mplus program and OECD method to characterize the trust level of the valid instruments SRMR, CFI, and TLI values. The pre-test results on the validity and reliability of Confirmatory Factor Analysis (CFA) with 1687 respondents. The results of this study indicate that the level of trust of the people in DKI Jakarta is in the medium to high category. It was found based on the factor score value in accordance with the average level of trust in the DKI Jakarta Provincial Government, which was 7.5 out of 10, with a scale of 1 indicating no trust at all, to a scale of 10 indicating full trust from the entire population. This level belongs to the medium to full trust level category. The lesson learned is that the government must take action to increase trust, such as identifying factors affecting the public use of the Jakarta Kini super-application. This study provides a discussion of the findings, and limitations and further proposes potential directions for future research.

Economic policy uncertainty, governance institutions and economic performance in Africa: are there regional differences?

In recent years, the global economy has witnessed several uncertainty-inducing events. However, empirical evidence in Africa on the effects of economic policy uncertainty (EPU) on economic activities remains scanty. Besides, the moderating effect of governance institutions on the uncertainty-economic performance relationship in Africa and the likelihood of regional differences in the response of economic activities to EPU on the continent are yet to be investigated. To address these gaps, we applied system GMM and quantile regressions on a panel of forty-seven African countries from 2010 to 2019. We find that while global EPU and EPUs from China, USA and Canada exert considerable influence on economic performance in Africa, the effects of domestic EPU and EPUs from Europe, UK, Japan, and Russia were negligible, suggesting that African economies are resilient to these sources of uncertainty shocks. We also find that governance institutions in Africa are not significantly moderating the uncertainty-economic performance relationship. However, our results highlighted regional differences in the response of economic activities to uncertainty, such that when compared to East and West Africa, economic performance in Central, North and Southern Africa is generally more resilient to global EPU and EPUs from China, USA, Europe and UK. We highlighted the policy implications of these findings.