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Pandemic along with causing disruption in economy and health of the communities, has also exposed the vulnerabilities of the people and the government. Innumerable research papers reported that this is leading to an increase in psychological issues like depression, OCD, anxiety, etc.,. However, our past experiences with pandemics has shown that the survival of communities depends on the level of adaptability and change management. This study aims to observe the influence of the disruption in emotional health measured in terms of Level of Adaptability and Level of Resistance to Change as a result of Lockdown.

(1) Assess the level of disruption in the emotional health (in terms of Level of Adaptability and Level of Resistance to Change) of the people due to this Lockdown. (2)Impact of this disruption on physical health.

This is a cross-sectional survey of the urban Indian population. The sampling method used was the snow-ball sampling. Adaptability and Resistance to change have been considered as the measure of a person's emotional health and then correlated to their physical health.

The study hypothesized that people underwent emotional disruption and that affected their physical health negatively. But our findings showed that people were happy and used this time to improve their lives and relationships. The study found age having a significant association with both adaptability and resistance to change. There was inverse correlation between Resistance to change and physical health. And the level of Adaptability was considerably high in participants who were greater than 30 years and participants who were Self-employed or salaried.

The disruption in the lives of people due to Lockdown has given ample time for families to reconnect and relationships to improve. People have had time to introspect and hence have adapted well to the impending crisis.

Introduction – In recent years, there has been a growing interest in innovation, not only in developed countries but also in developing countries. However, there has been limited literature for the developing countries.

Purpose – The literature on national innovation systems (NIS) mainly consists of case studies or qualitative researches aiming to explain the patterns of innovation, while the quantitative analysis are limited in explaining the innovation capability and efficiency of innovation. This study is unique in a sense that it compares the innovation efficiencies of the EECA countries. This chapter aims to measure the efficiency of NIS via data envelopment analysis (DEA) method.

Methodology – DEA is used to consider a sample of 18 Eastern European and Central Asian (EECA) countries and Turkey. One of the main issues is to determine the input and output variables because the available data for some of these countries were limited. Therefore, research and development expenditure (% of GDP), government expenditure on education, total (% of GDP), imports of goods and services (% of GDP) and foreign direct investment, net inflows (% of GDP) were determined as input variables. Output variables were as follows; patent applications both residents and non-residents, high-technology exports (% of manufactured exports) and scientific and technical journal articles.

Findings – Based on the key findings it can be noted that Kazakhstan, Turkey, Latvia and Uzbekistan are more efficient in innovation performance compared to other EECA countries. Throughout the results of the DEA, these countries may develop new policies about their innovation systems to reach out the higher performance.

Introduction: Human resource management (HRM) is going through a transformation phase due to the pandemic. The COVID-19 crisis compelled the employees to work virtually. To mitigate the effects of COVID-19, several organisations heavily invested in artificial intelligence (AI) in the realm of HRM.

Purpose: With limited studies on the paradigm shift in HRM post-pandemic and the role of AI, the study investigates and proposes a conceptual framework for the paradigm shift in HRM practices post-COVID-19 pandemic and the significance of AI. Furthermore, the study investigates the outcomes of the use of AI in HRM for organisations and employees.

Methodology: A comprehensive review of the literature based on the guidelines of Tranfield, Denyer, and Smart (2003) and Crossan and Apaydin (2010) has been followed. A systematic literature review assisted in critically analysing, synthesising, and mapping the extant literature by identifying the broad themes involved.

Findings: COVID-19-related economic disruption has led to a paradigm shift in HRM practices. AI-enabled HRM practices are now centred around remote and contingent workforce management, mindfulness, social capital, increasing employee engagement, reskilling and upskilling towards new competencies, etc. AI is making remote work seamless through smooth recruitment and selection process, onboarding, career and development, tracking and managing the performance, facilitating learning, and talent management. Post-pandemic, AI-powered tools based on data mining (DM), predictive analytics, big data analytics, natural language processing (NLP), intelligent robots, machine learning (ML), virtual (VR)/augmented reality (AR), etc., have paved the way for managing the HRM practices effectively, thereby leading to enhanced organisational performance, employee well-being, automation, and reduced cost.

Internationalisation became an important component of science parks (SPs) practices. In recent years, they have started to include, among the portfolio of their services, the support and fostering of their tenant firms’ internationalisation, such as soft-landing programmes and international immersion experiences for start-ups. Thus, the main aim of this chapter is to analyse these internationalisation practices in the light of the network and internationalisation theories. Based on an exploratory multiple case study the authors conducted in three Brazilian SPs located in the South of Brazil (Rio Grande do Sul State) – Tecnopuc in Porto Alegre, Tecnosinos in São Leopoldo and Feevale Techpark in Campo Bom. The authors provide evidences on how cohesive internal and external ties, networks as well as the level of specialisation are the key drivers of the internationalisation process of SPs and their tenant firms.

This chapter considers the role of technology transfer intermediaries (TTIs) in the processes of innovation in networks involving universities, research and development centres, and business firms from an international perspective. A diversity of types of TTIs is recognised in terms of their particular interests in the operation of innovation processes and the conditions they impose in transactions involving intellectual property. It will identify the various objectives of sponsoring stakeholders as differentiating the missions and accountabilities and, in turn, determining the focus and roles of different types of TTIs and the interactions and networking between them, both formal and informal.

In discussion, the chapter will propose that the significance of systemic influence on the processes of technology transfer and innovation should be researched at two levels. At the micro-level of personal interactions, examining how systemic influences shape tacit knowledge transfer between and learning by individuals engaged in research and innovation processes. Second, at the level of national cultures, examining the ways in which the cultural context institutionalises patterns of innovation and technology transfer networking.