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.

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.

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.

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).

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.

Strategies for implementation of green roofs in developing countries

PurposeReportedly, green roof (GR) makes a significant contribution towards a truly sustainable-built environment;however, its implementation is yet to hit a sufficient level in developing countries. Thus, this study assesses GR implementation strategies in developing countries by providing a comparative analysis through experts in Kazakhstan, Malaysia and Turkey.Design/methodology/approachThe study adopts a four-step methodological approach to achieve the research aim: literature review, focus group discussion, fuzzy analytical hierarchy process (FAHP) analysis and correlation analyses. First, a literature review followed by a focus group discussion is used to determine 18 (out of 25 initially) strategies for the selected context and these are classified into three categories: governmental and institutional support, knowledge and information and policy and regulation. Afterward, the identified GR strategies are evaluated using the FAHP with the data gathered from the experts in the countries studied. Finally, correlation analyses were used to observe the strength of agreement between the assessments of experts from the included countries.FindingsThe findings indicate that financial incentives, low-cost government loans and subsidies and tax rebates are the essential strategies for the wider adoption of GR. Evaluating the policy and regulations strategies also showed that mandatory GR policies and regulations and better enforcement of the developed GR policies are ranked as the most prominent strategies. The findings show a low level of agreement among respondents from Kazakhstan, while there is a high level of agreement between the experts in Malaysia and Turkey.Research limitations/implicationsThe research contribution is twofold. First (research implication), the study identifies the strategies through a complete literature review. Second, the identified strategies are evaluated through the lenses of experts in three developing countries which are hoped to provide (practical contribution) a better understanding of the most effective strategies that require attention and enable the frontline stakeholders (particularly government authorities) to focus on them.Originality/valueThe study findings provide a good point of departure to explore the strategies for broader adoption of GRs in developing economic setting.

Connection, desperation and disillusionment: Exploring student wellbeing at a university in South Africa during the COVID-19 pandemic

University students' mental health and wellbeing has been a global public health issue of increasing concern in recent years, with a growing body of empirical evidence suggesting university students are a 'very high-risk population' for mental disorders and psychological distress. Pre-existing mental health challenges among university students have consequently been compounded by the global COVID-19 pandemic. A sample of 20 students registered in the education faculty at a large urban university in South Africa participated in a Photovoice study. The research required them to capture three photos or images of their experiences of wellbeing during the pandemic. The findings showed that students experienced mental health concerns and disillusionment with higher education. Their wellbeing was associated with a sense of connection with themselves, their peers and the campus space, and the cultivation of resilience.

Purchase Motives of Retail Consumers Nanostores: Evidence from Indonesia: Acces la Success

Many researchers have studied purchasing motives at retail hypermarkets and modern retail scales. However, it is still rarely found in micro or nano-scale retail stores though nanostores are much higher, especially in developing countries. Therefore, this study aims to analyze the factors that motivate someone to buy goods at the nanostore. The research was done using the explanatory survey method. The number of samples is 210 respondents. The data were process using confirmatory factor analysis. The research location is in a big city in Indonesia, namely Bandung City. This city is a city of tourism and trade. The results of the study prove that 12 factors determine consumer motives for shopping at nanostores. These 12 factors are grouped into three: product attributes, self-orientation, and service guarantees. Although this study was conducted on consumer nanostores, the study results contribute to marketing theory, where service assurance is an important part of consumers' purchase motives. This study shows the retailers must understand consumers' buying motives and use the results of this study to increase sales turnover. The results of this study, when used by retail entrepreneurs, are predicted to increase customer satisfaction and loyalty. Service guarantees are the main attraction for consumers to shop at nanostores and this is a new thing in the concept of purchasing motives. For the future, it is recommended to continue the study of purchase motives in modern countries. The concept of service guarantee needs to be researched to find out whether service guarantee can increase the loyalty of large, medium, and nanostore retail consumers.

Application of Machine Learning Techniques to Predict Visitors to the Tourist Attractions of the Moche Route in Peru

Due to the COVID-19 pandemic, the tourism sector has been one of the most affected sectors and requires management entities to develop urgent measures to reactivate and achieve digital transformation using emerging disruptive technologies. The objective of this research is to apply machine learning techniques to predict visitors to tourist attractions on the Moche Route in northern Peru, for which a methodology based on four main stages was applied: (1) data collection, (2) model analysis, (3) model development, and (4) model evaluation. Public data from official sources and internet data (TripAdvisor and Google Trends) during the period from January 2011 to May 2022 are used. Four algorithms are evaluated: linear regression, KNN regression, decision tree, and random forest. In conclusion, for both the prediction of national and foreign tourists, the best algorithm is linear regression, and the results allow for taking the necessary actions to achieve the digital transformation to promote the Moche Route and, thus, reactivate tourism and the economy in the north of Peru.

Fit for purpose? The patents regime, the Fourth Industrial Revolution, and sustainable development

This article uses data from several publicly available databases to show that the distribution of intellectual property for frontier technologies, including those useful for sustainable development, is very highly skewed in favor of a handful of developed countries. The intellectual property rights (IPR) regime as it exists does not optimize the global flow of technology and know-how for the attainment of the sustainable development goals and is in need of updating. Some features of the Fourth Industrial Revolution imply that the current system of patents is even more in need of reform than before. COVID-19 vaccines and therapies and the vast inequality in access to these has highlighted the costs of inaction. We recommend several policy changes for the international IPR regime. Broadly, these fall into three categories: allowing greater flexibility for developing countries, reassessing the appropriateness of patents for technologies that may be considered public goods, and closing loopholes that allow for unreasonable intellectual property protections.

The impact of risk-taking and auditor characteristics on value creation in pre-Covid 19 and post-Covid 19 pandemic: MRN

PurposeThis study aims to investigate the impact of risk-taking and auditor characteristics on value creation in companies listed on the Tehran Stock Exchange. In addition, it investigates the moderator role of auditor characteristics in the impact of risk-taking on value creation, especially in pre-Covid 19 and post-Covid 19 pandemic.Design/methodology/approachThe information about 199 company in 2014–2021 was examined. In the present study, in accordance with the related theoretical literature and the importance of auditor specialization, auditor tenure and auditor reputation, these factors were considered as the auditor characteristics.FindingsThe present findings based on the generalized least squares (GLS) method showed that risk-taking positively affects the value creation. The auditor characteristics (auditor specialization, auditor tenure and auditor reputation) have a significant positive effect on the value creation. Furthermore, the auditor characteristics enhance the impact of risk-taking on value creation. The results of generalized method of moments method and robust regression analysis are consistent with the GLS results. To take into account the Covid-19 conditions, the data were divided into pre-Covid-19 and post-Covid-19 years. The results showed that auditor characteristics moderate the impact of risk-taking on value creation in pre-Covid 19 and post-Covid 19.Originality/valueThe study highlights the role of auditor characteristics in the value creation, especially in the emerging market. Given that Covid-19 has seriously damaged global economic well-being and has put companies at a double risk, the present findings can be useful for managers, investors and the international community, and help company managers make risk-taking policies and select auditors with appropriate characteristics.