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This research study aimed to collect feedback from the learners on the usefulness and effectiveness of the online counselling sessions organised during COVID-19 lockdown through online platforms to provide academic support to the learners.

The link of a questionnaire designed in a Google Form sent to IGNOU learners of the January 2020 session enrolled under the jurisdiction of IGNOU Regional Centre (RC) Chandigarh through email as well as SMSs. Total responses received were 487, out of which 445 responses were complete, roughly 8% of the total registered learners during the January 2020 session. The questionnaire contained questions on a cross-section of online counselling issues, besides questions on the learners' profile.

Majority of the learners were satisfied with the input provided while organising online counselling sessions during COVID-19 lockdown in India. A significant proportion of learners (88%) used smartphones for attending counselling sessions. Facebook page of the RC rated as a relatively better option than other online platforms. However, more than 50% of learners faced Internet connection problems and found them a significant hurdle for smooth viewing of online counselling sessions. The proportion of learners who encountered difficulties in handling electronic devices was insignificant. The learner's feedback on many attributes such as usefulness and effectiveness of the online counselling sessions, interaction with the academic counsellors, e-content used in the counselling was significantly positive. A significant proportion of the learners have reported that face to face counselling could be replaced with online sessions in future, considering its flexibility in terms of place and schedule of learning and availability of recording of such sessions.

The research study was conducted under Chandigarh region of IGNOU which has a predominantly urban population. Thus the results of the study are limited to Chandigarh region and the region with similar socio-economic settings. This certainly limits the scope of the study.

The study certainly provides valuable feedback to the ODL policymakers to consider replacing face-to-face counselling with an online mode in a phased manner. Online counselling options will be highly cost-effective, easily manageable, and provide flexibility for learners and resource persons, resulting in addressing learners' non-attendance related issues in the face-to-face counselling sessions.

In the analysis of our finding it is clearly stated that the Internet connectivity and availability of electronic devices is an important issue to provide online counselling support to socially and economically disadvantaged groups. Therefore, the research study also identifies such social issues as a major challenge for providing online counselling support to the learners.

This is an original empirical research study and data collected is used in the analysis for the first time. This analysis is based on the feedback gathered from the learners registered at IGNOU RC Chandigarh during the January 2020 session. The data and derived results not used in any other study.

Creating a new product or service promotes the status quo changes, seeking economic value and solving customer's urgent problems. Entrepreneurs play an important role in this changing process through start-ups and small and medium enterprises (SMEs), considered one of the leading forces driving an economy’s innovative and competitive power. However, despite the importance of entrepreneurs, public policies to foster entrepreneurship ecosystems could be ineffective in emerging countries. Therefore, action research proposes the qualification of entrepreneurs for the structuring of new businesses through remote orientation, connecting the country's main economic centers to emerging areas.

The study is qualitative research comprising two phases. The first phase consisted of four-month action research, connecting two researchers and three groups of specialists (from Sao Paulo), with three groups of entrepreneurs (located in Manaus in the Amazon region), through a remote orientation in entrepreneurship, lean start-up, lean product and process development (LPPD). The second phase, conducted by a third researcher, regards a case study grounded on interviews and data collection with the entrepreneurs to capture the outcomes of the remote orientation process.

The remote orientation helped shorten the geographical distance of Amazonas to approach the integration of business, research and knowledge exchange of such distinct areas in the same country. If a remote orientation program was established as public policy, it could enact subsequent cycles of the lean start-up model. Furthermore, the remote orientation could be an alternative to compose the training subsystem in the entrepreneurship ecosystem proposed by Isenberg (2011). On the other hand, a remote orientation could fail to shorten the distance of human values and beliefs, which cannot be neglected when facing a rich territory like the Amazon.

Because of the chosen research approach, a qualitative and exploratory study based on a combination of action research, interviews and case studies, the results may lack generalizability. However, further studies can replicate the remote orientation process conducted in the region of Manaus – Amazon, to obtain distinct results regarding the advantages, disadvantages and effectiveness of remote orientation as entrepreneurship ecosystem’s human capital dimension development.

The outcomes of this research have the potential to start discussions regarding the adoption of remote orientation as a public policy to develop entrepreneurship skills in emerging regions, not only in Brazil but worldwide. The Brazilian case could be a relevant benchmark due to the large territory and economic and social disparities impacting education and entrepreneurship.

Through start-ups and SMEs, entrepreneurship has innovation potential and is the most solid way to bring economic development. For emerging countries, it can be real game-changer in the economic order. The development of entrepreneurship skills through this remote orientation experience can help reduce the economic and social gaps in countries with relevant disparities like Brazil and other emerging countries.

This paper fulfills an identified need to “move the needle of entrepreneurship in the right direction” (Isenberg, 2010) by creating local solutions for global challenges. Policymakers and leaders need to continue the experiment and learn how to improve the entrepreneurship ecosystem. In this sense, the action research approach, combined with the remote orientation, proposes an alternative to promote changes in how human capital dimension can be developed in this challenging ecosystem.

This paper examines an employee's recovery process in the remote-working context. It explores which elements of remote work are energy-consuming for employees and what action they can take to instigate the essential recovery strategy of psychological detachment.

The study adopts a qualitative research approach based on 89 semi-structured interviews with employees working from home with six large corporations from multiple industries. The data were interpreted using thematic analysis.

The study identifies a main theme – the energy-consuming elements of remote work – and three sub-themes: extended working hours, intensive working and reduced social support. Each theme incorporates elements controlled by individuals (internal) and those beyond their control (external). Second, the authors identified strategies that helped individuals to detach from work, and devised four sub-themes, the authors labeled cognitive controlling, physical disconnection from work, time-bound routines and non-work activities.

This is the first study to focus on recovery as a process in the context of remote working, and it contributes to the knowledge of psychological detachment and strategies for recovery and to the literature on contemporary remote working.

This pragmatic research paper aims to unravel the smart vision-based method (SVBM), an AI program to correlate the computer vision (recorded and live videos using mobile and embedded cameras) that aids in manual lifting human pose deduction, analysis and training in the construction sector.

Using a pragmatic approach combined with the literature review, this study discusses the SVBM. The research method includes a literature review followed by a pragmatic approach and lab validation of the acquired data. Adopting the practical approach, the authors of this article developed an SVBM, an AI program to correlate computer vision (recorded and live videos using mobile and embedded cameras).

Results show that SVBM observes the relevant events without additional attachments to the human body and compares them with the standard axis to identify abnormal postures using mobile and other cameras. Angles of critical nodal points are projected through human pose detection and calculating body part movement angles using a novel software program and mobile application. The SVBM demonstrates its ability to data capture and analysis in real-time and offline using videos recorded earlier and is validated for program coding and results repeatability.

Literature review methodology limitations include not keeping in phase with the most updated field knowledge. This limitation is offset by choosing the range for literature review within the last two decades. This literature review may not have captured all published articles because the restriction of database access and search was based only on English. Also, the authors may have omitted fruitful articles hiding in a less popular journal. These limitations are acknowledged. The critical limitation is that the trust, privacy and psychological issues are not addressed in SVBM, which is recognised. However, the benefits of SVBM naturally offset this limitation to being adopted practically.

The theoretical and practical implications include customised and individualistic prediction and preventing most posture-related hazardous behaviours before a critical injury happens. The theoretical implications include mimicking the human pose and lab-based analysis without attaching sensors that naturally alter the working poses. SVBM would help researchers develop more accurate data and theoretical models close to actuals.

By using SVBM, the possibility of early deduction and prevention of musculoskeletal disorders is high; the social implications include the benefits of being a healthier society and health concerned construction sector.

Human pose detection, especially joint angle calculation in a work environment, is crucial to early deduction of muscoloskeletal disorders. Conventional digital technology-based methods to detect pose flaws focus on location information from wearables and laboratory-controlled motion sensors. For the first time, this paper presents novel computer vision (recorded and live videos using mobile and embedded cameras) and digital image-related deep learning methods without attachment to the human body for manual handling pose deduction and analysis of angles, neckline and torso line in an actual construction work environment.

This paper aims to characterize the type of support provided to victims of violence against women and domestic violence (VAWDV) during the first lockdown, assessing the training of professionals to use remote support (RS).

This cross-sectional study involves a sample of 196 support professionals, mainly women (91.8%) and who integrate the Portuguese National Support Network for victims of domestic violence (NSNVDV) (Mean age = 36.49; SD = 10.52).

Telephone emerges as the main RS communication media used in the lockdown (43.9%) and the emergency state periods (57.1%). Participants reported to have never used any social applications (41.8% vs 41.8%) or videoconference (46.4% vs 58.2%), in both periods assessed, i.e. lockdown and emergency state, respectively, and 82.7% assumed to have no training with RS to assist VAWDV victims. However, support professionals recognized several advantages in using RS such as dealing with isolation, reducing inhibition, fear and shame and in promoting the victims’ empowerment.

Given the exploratory nature of this study, only descriptive analyzes were conducted.

During the COVID-19 pandemic, little is known about effective RS given by professionals to victims of VAWDV in the Portuguese context. The paper aims to add knowledge to the studied field.

This exploratory study aims to discover the different forms of challenges encountered by school stakeholders, including students, teachers, parents and management due to the coronavirus disease 2019 (COVID-19) pandemic.

Qualitative methodology was deployed for the study. A purposive sampling technique was used to select the respondents for a semi-structured interview. Data were examined using interpretative phenomenological analysis (IPA).

It was found that each stakeholder faced four different challenges: mental distress, physical immobility, financial crunches and technological concerns. Findings suggest that teachers are experiencing higher financial, technological and physical challenges as compared to other stakeholders followed by parents.

This paper discusses the major challenges faced by each stakeholder along with the opportunities. These findings will be useful for educationists, regulatory authorities, policymakers and management of educational institutions in developing countries to revisit their policy frameworks to develop new strategies and processes for the smooth implementation of remote learning during a period of uncertainty.

The study explores government primary school students' remote learning experience during school closures due to COVID-19.

A qualitative approach and semi-structured interviews were employed for data collection. The study used a snowball sampling procedure to select 24 participants.

This study shows that students experienced setbacks in learning due to not having access to resources. Besides, online classes were expensive as they were not able to buy devices, internet package and other resources to participate in the remote classes. Since many students were unable to access digital media and get parental and teacher support for education, students' engagement in learning was very low. Moreover, the paucity of learning due to school closures has lowered students' motivation for learning. The study also contributed to understanding children's emotional attachment with the schools and how the closure affected their well-being. The results indicate that the students, teachers and parents did not have a positive experience with remote teaching–learning and the modalities did not contribute to continuing with meaningful learning.

The remote learning experience shared in this study can be used to inform policymakers, educators and stakeholders exploring remote learning solutions in low-resource contexts. This study contributes to understanding the skills and competencies teachers require to support children's learning during any crisis.

This paper aims to investigate the eHealth ecosystem’s evolution during the coronavirus disease 2019 (COVID-19) pandemic and its effects on the progression of care for patients with chronic cardiovascular disease.

To attain the aim of the study, this study chose to adopt a qualitative method that matches the complexity of the issue. The study was conducted in a real context through 44 face-to-face semi-structured interviews of key informants at different levels of the Italian eHealth service ecosystem, via Microsoft Teams. The interviews were carried out from June 2020 to January 2021. In this research, we adopted an abductive approach that enabled a process where the theoretical framework and the data analysis evolved at the same time.

The study results were used to develop a conceptual framework that considers the key factors enabling and constraining the evolutionary process of the eHealth service ecosystem. In particular, the drivers that emerged from the study were actor role empowerment, actor–network engagement and resource reconfiguration while the inhibitors were inter- and intra-actor misalignment, resource myopia and the platformisation gap. The findings also revealed the pivotal role of the meso level in the development of the eHealth service ecosystem, boosted by the COVID-19 pandemic.

By adopting a service ecosystem perspective, this paper contributes, at both a theoretical and a managerial level, to a better understanding of the dynamics related to the diffusion of eHealth. The study identifies the main issues that researchers, managers and policymakers should address to support the evolution of the eHealth service ecosystem, with particular regard to chronic cardiovascular disease.

Technology-facilitated abuse, so-called “tech abuse,” through phones, trackers, and other emerging innovations, has a substantial impact on the nature of intimate partner violence (IPV). The current chapter examines the risks and harms posed to IPV victims/survivors from the burgeoning Internet of Things (IoT) environment. IoT systems are understood as “smart” devices such as conventional household appliances that are connected to the internet. Interdependencies between different products together with the devices' enhanced functionalities offer opportunities for coercion and control. Across the chapter, we use the example of IoT to showcase how and why tech abuse is a socio-technological issue and requires not only human-centered (i.e., societal) but also cybersecurity (i.e., technical) responses. We apply the method of “threat modeling,” which is a process used to investigate potential cybersecurity attacks, to shift the conventional technical focus from the risks to systems toward risks to people. Through the analysis of a smart lock, we highlight insufficiently designed IoT privacy and security features and uncover how seemingly neutral design decisions can constrain, shape, and facilitate coercive and controlling behaviors.

The COVID-19 pandemic has disrupted the ‘real’ world and substantially impacted the virtual world and thus the Internet ecosystem. It has caused a significant exogenous shock that offers a wealth of natural experiments and produced new data about broadband, clouds, and the Internet in times of crisis. In this chapter, we characterise and evaluate the evolving impact of the global COVID-19 crisis on traffic patterns and loads and the impact of those on Internet performance from multiple perspectives. While we place a particular focus on deriving insights into how we can better respond to crises and better plan for the post-COVID-19 ‘new normal’, we analyse the impact on and the responses by different actors of the Internet ecosystem across different jurisdictions. With a focus on the USA and Europe, we examine the responses of both public and private actors, with the latter including content and cloud providers, content delivery networks, and Internet service providers (ISPs). This chapter makes two contributions: first, we derive lessons learned for a future post-COVID-19 world to inform non-networking spheres and policy-making; second, the insights gained assist the networking community in better planning for the future.