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The purpose of this chapter is to determine the optimal path of development of social entrepreneurship in Russia and Central Asian countries by performing a scenario analysis of the development of social entrepreneurship and analyzing the opinions of interested parties regarding the outcome of social entrepreneurship in Russia and Central Asian states. The authors’ recommendations for the practical implementation of the optimal path of social entrepreneurship development are described.

The scenario analysis of statistical data showed that the existing practice of standardization of social companies’ activities hinders their executing their functions on raising the quality of life. With the expansion of freedom of social entrepreneurship, the population’s quality of life grows; on the contrary, the increase of state regulation leads to its reduction. The findings show that social entrepreneurship in Russia and Central Asian countries is interested in private investments and social companies’ employees. That is why the representatives of these categories of concerned parties support de-regulation. Consumers of social goods and services are interested in obtaining them freely and thus prefer standardization.

This chapter presents a new direction of social entrepreneurship analysis – by determining the correlation between economic freedom and quality of life. This opens an opportunity for thorough social entrepreneurship research based on authentic and objective quantitative (statistical) data. The obtained conclusions and offered recommendations allow using the mechanism of public–private entrepreneurship for turning social entrepreneurship into something more valuable and useful – a tool for increasing the quality of the population’s life.

Starting in March 2020, Indonesia had the COVID-19 pandemic. Furthermore, this situation has decreased the utilization of highways due to complying with the government regulation, including work from home and large-scale social restrictions to reduce the spreading the corona virus. There are three highway companies listed on Indonesia Stock Exchange such as CMNP, META, and JSMR. On the other hand, the research about the financial performance and the financial distress prediction in Highways sector, especially in Indonesia is not available during the COVID-19 pandemic. This research is aimed to evaluate the financial distress by the Zmijewski model with two criterions: bankrupt and non-bankrupt zone and the financial performance by state-owned enterprise (SOE) rating with three criterions: healthy, less healthy, and unhealthy condition. The period of research is Q1 2019 – Q1 2020 as the period before the COVID-19 pandemic and Q2 2020 – Q2 2021 as the period during the COVID-19 pandemic. The study concludes that all highway companies was in non-bankrupt zone by the Zmijewski model for both before and during the COVID-19 pandemic. In addition, based on SOE rating on average for the period before the COVID-19 pandemic, CMNP, META, and JSMR achieved rating consecutively BBB, BBB, and BB. Meanwhile, on average, for the period during the COVID-19 pandemic, CMNP, META, and JSMR achieved ratings consecutively BB, BB, and B.

The issue of dropout looms large in the context of school education in India despite various flagship programs that have been initiated in school education. According to U-DISE report (2019–2020), girls drop out more than boys at the upper primary level. An analysis of the dropout problem demands probing deeper into intrahousehold dynamics that involves bargaining at the household level on investment decision. These decisions are often influenced by the social context in which the girl child in the family faces discrimination which gets reflected in terms of dropout of girl children. Apart from the issue of gender, birth order also determines which child is more likely to drop out. Using NSSO data (2017–2018), we observe that not all children of a household are equally susceptible to the dropout problem. Moreover, the eldest sibling is found to be more susceptible to the dropout problem and dropout rate goes down with the other younger siblings in the same household. First-born girl children drop out more than their male counterparts showing gender bias. The chapter concludes that the factors pushing a child to drop out become more effective for the eldest sibling. The major reason is the family structure of India as the eldest sibling is expected to be more responsible and look after other younger siblings. Consequently, a certain number of the younger siblings try to follow the elder siblings and discontinue going to school.

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.

Introduction: The Covid-19 pandemic wreaked havoc on the organisations in the form of increased job demands which manifested through increased workload, time pressure, etc. Similarly, stress and burnout engulfed the employees. Remote work became the new normal post-pandemic. Remote workers require more engagement. This has brought Artificial Intelligence (AI) to the forefront for engaging employees in the new normal.

Purpose: With limited studies on AI-enabled employee engagement in the new normal, this study investigates and proposes a conceptual framework of employee engagement in the context of AI and its impact on organisations.

Methodology: A systematic review and meta-synthesis method is undertaken. A systematic literature review assisted in critically analysing, synthesising, and mapping the extant literature by identifying the broad themes.

Findings: Since many organisations are turning to remote work post-pandemic and remote work requires more engagement, organisations are investing in AI to boost employee engagement in the new normal. Several antecedents of employee engagement such as quality of work life, diversity and inclusion, and communication are facilitated by AI. AI helps enhance the quality of work life by playing a major role in providing fair compensation, safe and healthy working conditions, immediate opportunity to use and develop human capacities, continued growth and security, work and total life space, and social relevance of work life. This has led to positive organisational outcomes like increased productivity, employee well-being, and decreased attrition rate. Furthermore, AI helps in measuring employee engagement. The various tools of AI, such as wearable technology, digital biomarker, neural network, data mining, data analytics, machine learning (ML), natural language processing (NLP), etc., have gone a long way in engaging employees in the new normal.

Recent interest in social entrepreneurship among young people has led to a heightened interest in new research. Few studies, however, have yet to investigate motivators of involvement, particularly from countries that are new to social entrepreneurship. The current study set out to better understand this phenomenon among young social entrepreneurs in Malaysia. In-depth one-to-one interviews with 12 young entrepreneurs were carried out to collect the data. Four themes and ten sub-themes emerged from the interviews, including early life experience (childhood experience and family experience), inspiration from clients and colleagues (interactions with the target group and exposure to social entrepreneurs), work-related experience (volunteer experience and job-related experience), and personal meaning (contribute back to society, desire for more meaning in life, and personal passions). The implications for policy-makers and interested parties are outlined in regard to enhancing participation and interest among youth for social entrepreneurship.

The concept and practice of e-services has become essential in business transactions. Yet there are still many organizations that have not developed e-services optimally. This is especially relevant in the context of Indonesian Airline companies. Therefore, many airline customers in Indonesia are still in doubt about it, or even do not use it. To fill this gap, this study attempts to develop a model for e-services adoption and empirically examines the factors influencing the airlines customers in Indonesia in using e-services offered by the Indonesian airline companies. Taking six Indonesian airline companies as a case example, the study investigated the antecedents of e-services usage of Indonesian airlines. This study further examined the impacts of motivation on customers in using e-services in the Indonesian context. Another important aim of this study was to investigate how ages, experiences and geographical areas moderate effects of e-services usage.

The study adopts a positivist research paradigm with a two-phase sequential mixed method design involving qualitative and quantitative approaches. An initial research model was first developed based on an extensive literature review, by combining acceptance and use of information technology theories, expectancy theory and the inter-organizational system motivation models. A qualitative field study via semi-structured interviews was then conducted to explore the present state among 15 respondents. The results of the interviews were analysed using content analysis yielding the final model of e-services usage. Eighteen antecedent factors hypotheses and three moderating factors hypotheses and 52-item questionnaire were developed. A focus group discussion of five respondents and a pilot study of 59 respondents resulted in final version of the questionnaire.

In the second phase, the main survey was conducted nationally to collect the research data among Indonesian airline customers who had already used Indonesian airline e-services. A total of 819 valid questionnaires were obtained. The data was then analysed using a partial least square (PLS) based structural equation modelling (SEM) technique to produce the contributions of links in the e-services model (22% of all the variances in e-services usage, 37.8% in intention to use, 46.6% in motivation, 39.2% in outcome expectancy, and 37.7% in effort expectancy). Meanwhile, path coefficients and t-values demonstrated various different influences of antecedent factors towards e-services usage. Additionally, a multi-group analysis based on PLS is employed with mixed results. In the final findings, 14 hypotheses were supported and 7 hypotheses were not supported.

The major findings of this study have confirmed that motivation has the strongest contribution in e-services usage. In addition, motivation affects e-services usage both directly and indirectly through intention-to-use. This study provides contributions to the existing knowledge of e-services models, and practical applications of IT usage. Most importantly, an understanding of antecedents of e-services adoption will provide guidelines for stakeholders in developing better e-services and strategies in order to promote and encourage more customers to use e-services. Finally, the accomplishment of this study can be expanded through possible adaptations in other industries and other geographical contexts.

Purpose – The purpose of the chapter is to provide an analytical overview of information research in the United Kingdom and of the role of the Research Assessment Exercises (RAE) in shaping the form and structure of that research.

Design/methodology/approach – The approach adopted is a detailed content analysis of the submissions made to the last UK RAE. This analysis is carried out in relation to four broad subject categorisations, and specific analysis of accounts of research carried out in the departments and research groups.

Findings – The RAE have played a key role in promoting research specialisms in library and information studies (LIS) research in the United Kingdom. The former general approach to research in information studies has been replaced by more focused research activities carried out in a variety of research groups spread across a diverse range of disciplines and departments, from LIS, to business and management, information systems, and computing and engineering.

Research implications – The prospects for general LIS research departments may be increasingly limited, as research becomes concentrated in sub-groups within larger organisational structures, subverting both departmental lines and conventional subject boundaries.

Originality/value – This overview provides a novel synthesis of information research in the United Kingdom in relation to four broad categories of research in information studies and information science, information management and social informatics, information systems and information interaction, and social computing and computational informatics. The account brings together a fragmented field of research in a compact and intelligible form.