The COVID-19 pandemic has created unprecedented disruptions in consumers' daily lives. Regulations imposing social distancing, quarantine and full-scale lockdowns have heightened the risks amongst vulnerable consumer groups such as the elderly and socially or financially disadvantaged. However, these restrictions have also caused transitory vulnerability in many people who are not considered vulnerable under normal circumstances. Digital technology has become central to almost every aspect of consumers' lives in response to restriction measures and in coping with pandemic-induced stress and anxiety. Technology-mediated consumption as a coping strategy amidst a crisis is an under-researched topic within the marketing literature. This paper discusses four paradoxes of technology central to understanding the nexus between technology consumption and consumer vulnerability. We propose a comprehensive research agenda and call for future research that could overcome the limitations of traditional research designs. Our work serves as a springboard for future scholarship and opens doors for other researchers to continue exploring this critical research area.

Coping with crisis: The paradox of technology and consumer vulnerability

An adoption-implementation framework of digital green knowledge to improve the performance of digital green innovation practices for industry 5.0

It is well acknowledged that the roles of both school administrators and teachers have changed due to the global education crisis caused by COVID-19. During this challenging and critical period, it is essential to investigate how those working in the education sector who undertake strategic tasks for sustainable education are affected by the new conditions brought about by the COVID-19 pandemic. This study investigates the interrelationships between COVID-19 quality of life, loneliness, happiness, and Internet addiction. The research was designed according to the relational survey model, was conducted with 432 school administrators and teachers working in K-12 schools. The research data was collected through online questionnaires, and structural equation modelling (SEM) was used to test and analyze proposed hypotheses. The study’s results revealed a positive relationship between the COVID-19 related quality of life and loneliness, and that loneliness significantly positively predicts Internet addiction. In this context, due to the impact of COVID-19 on the life quality, the participants’ loneliness levels significantly increased, and this increase in loneliness caused them to become addicted to using the Internet. Interestingly, it was also determined that a positive relationship exists between loneliness and happiness and that as the loneliness of individuals increased, their level of happiness also increased. In many studies conducted prior to the COVID-19 pandemic, a negative relationship was revealed between loneliness and happiness. In the current study conducted during the pandemic, the relationship between the two variables was positive. SEM results revealed that COVID-19 directly affects the quality of life, Internet addiction, loneliness, and happiness of school administrators and teachers. Furthermore, it was determined that Internet addiction indirectly affects the relationship between loneliness and happiness.

/pdf/investigating-the-relationships-between-covid-19-quality-of-3soyq2qn.pdf

Investigating the Relationships between COVID-19 Quality of Life, Loneliness, Happiness, and Internet Addiction among K-12 Teachers and School Administrators—A Structural Equation Modeling Approach

https://academic.oup.com/policyandsociety/article-pdf/41/1/155/46878741/puab011.pdf

“New normal” at work in a post-COVID world: work–life balance and labor markets


Purpose
The purpose of this paper is to give an overview of artificial intelligence (AI) and other AI-enabled technologies and to describe how COVID-19 affects various industries such as health care, manufacturing, retail, food services, education, media and entertainment, banking and insurance, travel and tourism. Furthermore, the authors discuss the tactics in which information technology is used to implement business strategies to transform businesses and to incentivise the implementation of these technologies in current or future emergency situations.


Design/methodology/approach
The review provides the rapidly growing literature on the use of smart technology during the current COVID-19 pandemic.


Findings
The 127 empirical articles the authors have identified suggest that 39 forms of smart technologies have been used, ranging from artificial intelligence to computer vision technology. Eight different industries have been identified that are using these technologies, primarily food services and manufacturing. Further, the authors list 40 generalised types of activities that are involved including providing health services, data analysis and communication. To prevent the spread of illness, robots with artificial intelligence are being used to examine patients and give drugs to them. The online execution of teaching practices and simulators have replaced the classroom mode of teaching due to the epidemic. The AI-based Blue-dot algorithm aids in the detection of early warning indications. The AI model detects a patient in respiratory distress based on face detection, face recognition, facial action unit detection, expression recognition, posture, extremity movement analysis, visitation frequency detection, sound pressure detection and light level detection. The above and various other applications are listed throughout the paper.


Research limitations/implications
Research is largely delimited to the area of COVID-19-related studies. Also, bias of selective assessment may be present. In Indian context, advanced technology is yet to be harnessed to its full extent. Also, educational system is yet to be upgraded to add these technologies potential benefits on wider basis.


Practical implications
First, leveraging of insights across various industry sectors to battle the global threat, and smart technology is one of the key takeaways in this field. Second, an integrated framework is recommended for policy making in this area. Lastly, the authors recommend that an internet-based repository should be developed, keeping all the ideas, databases, best practices, dashboard and real-time statistical data.


Originality/value
As the COVID-19 is a relatively recent phenomenon, such a comprehensive review does not exist in the extant literature to the best of the authors’ knowledge. The review is rapidly emerging literature on smart technology use during the current COVID-19 pandemic.


Artificial Intelligence Adoption in the Post COVID-19 New-Normal and Role of Smart Technologies in Transforming Business: a Review

The relationship between humans and digital technologies has been documented extensively in the past decades, but has yet to be reviewed through the lens of the current global pandemic crisis This review synthesizes the rapidly growing literature on digital technology use during the current COVID-19 pandemic It addresses the following four topics: (1) the specific digital technologies that have been used, (2) the specific populations who have used these digital technologies, (3) the specific activities that individuals and groups have used these digital technologies, and (4) the specific effects of using these digital technologies on humans during the pandemic The 281 empirical articles we have identified suggest that (1) 28 various forms of technologies have been used, ranging from computers to artificial intelligence, (2) 8 different populations of users are using these technologies, primarily medical professionals, (3) 32 generalized types of activities are involved, including providing health services remotely, analyzing data, and communicating, and (4) 35 various effects have been observed, such as improved patient outcomes, continued education, and decreased outbreak impact Through this rapid review, we sketched an expansive, multilevel model of the current knowledge of how humans are using technology during the COVID-19 pandemic Major findings and future directions are discussed

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbe2.242

Briana Benwell

Papers

Digital technology use during COVID-19 pandemic: A rapid review