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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.

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

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 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.

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.

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.

This study examines the effect of female governors (gender effect) on environmental performance in terms of state-level carbon dioxide (CO2) emissions in United States.

The study used annual data from 1970 to 2020 to investigate the relationship between female political leadership and state-level CO2 emissions. Hypothesis was tested through ordinary least squares regression (OLS). The results of the study were also validated using propensity score matching and a difference-in-difference approach.

This study provides empirical insights into the relationship between female political leadership and state-level CO2 emissions. The findings indicate that female governors have a significant negative impact on state-level CO2 emissions per capita. These results suggest that female political leadership is associated with a reduction in CO2 emissions per capita at the state level. The results also show that states under the leadership of female governors experience lower levels of CO2 emissions than those with male governors, indicating female leadership’s potential to promote environmental sustainability.

The findings of this study have practical implications for policymakers, government officials, and other stakeholders involved in the formulation of strategies to promote environmental sustainability. This study highlights the significant role that female political leader play in mitigating CO2 emissions at the state level. It suggests that promoting female in political leadership positions can lead to more environmentally conscious policy decisions and actions, resulting in reduced CO2 emissions per capita. Policymakers should actively encourage women’s participation in leadership roles to utilize their potential contributions to advancing sustainability goals. Furthermore, organizations that focus on environmental issues should prioritize supporting and promoting female leaders who have demonstrated a commitment to environmental sustainability. Ultimately, this study highlights the need for female in political leadership as a potential strategy to address environmental challenges and advance a more sustainable future.

This study pioneers research on the links between female political leadership and state-level CO2 emissions. This study contributes to the literature by emphasizing the potential role of female political leaders in promoting environmental sustainability. Overall, this study enriches the social role and upper echelons theories literature through empirical evidence.

This study aims to explore what characteristics contribute to the definition of relevance in business-to-business (B2B) marketing research and how/why different strands of B2B marketing maintain or lose their relevance.

This study is conceptual. It adopts a performative-phenomenal standpoint for B2B marketing research and approaches relevance through the concept of episteme, which is considered pivotal for understanding this phenomenon.

This study proposes four axioms that define the characteristics of relevance in B2B marketing research and discusses their implications for scholars and practitioners. Consequently, an action plan for revitalizing B2B marketing research is developed, comprising learning and temporal dimensions, resulting in nine different relevance types.

The central argument put forward in this study is that different research strands of B2B marketing have deeply rooted epistemic underpinnings that influence their interpretation of relevance. Consequently, fostering dialogue between practitioners and scholars is considered necessary to sustain relevance in B2B marketing research. B2B scholars are urged to think beyond their subspecialized silos and acknowledge how the business environment and the various strands of B2B marketing congruently shape B2B marketing relevance, while also embracing research methods that bring them closer to business practice.

Marketing practitioners and academics continue to drift apart. This study puts forward three recommendations to bring marketing academics and practitioners closer together.

The study contributes to the B2B marketing literature by grappling with the theory-praxis gap and critically exploring what constitutes relevance in B2B marketing research.