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Service robots present a new frontier in the provision of services, with far-reaching implications for customers and managers alike. The purpose of this chapter is to examine how service robots impact service providers' current marketing strategies. For this, the authors perform an integrative, nonsystematic review of international gray and academic literature to understand how both practitioners and academics perceive the impacts of the technology. Based on this analysis, the present work identifies three key themes that emerge from the current state of practitioner and academic research, namely (1) service robots demand new core business capabilities and competencies, (2) service robots offer new value propositions, and (3) service robots impact not only service providers' cost structures but also revenue streams. These insights are combined into the Service Robot Innovation Canvas, a visual tool for service providers to identify the impact of service robot implementations on a company's marketing strategy. In addition, based on the analyzed literature, the most pressing questions for researchers are laid out in a research agenda.

Purpose: The study’s objective is to look at the link between money laundering and economic and financial performance, emphasising the effectiveness of the literature and possible later research directions using science mapping, which allows for scientific knowledge analysis.

Need for the Study: This study is related to a better understanding of the field’s historical evolution in terms of publications.

Methodology: This study used bibliometric approaches to analyse a sample of 660 studies from the Web of Science between 1994 and 2022, concentrating on keywords, author, paper, journal, and subject analysis. This study focused on performance analysis and scientific mapping of articles using the R package.

Findings: The empirical results indicated that the research field’s primary issues include corporate governance, fraud, machine learning, fraud detection, financial fraud, financial statement, corruption, earnings management, ethics, governance, financial reporting, bankruptcy, internal control, or performance. M. S. Beasly, D. B. Farber, E. M. Fich, R. Romano, and A. Shivdasani are the most well-known authors on the issue of money laundering and financial and economic performance. At the same time, the most typical journals are the Journal of Business Ethics, Journal of Money Laundering Control, Accounting Review, Journal of Financial Economics, and Journal of Corporate Finance.

Practical Implications: This study will act as a guide for researchers of various fields to evaluate the development of scientific publications in a particular theme over time, especially for those who are in the field of money laundering and financial performance.

Purpose: This study aims to employ bibliometric analysis to condense multiple studies into a single publication that not only gives insights into the growth and advancement of the research area but also establishes a future research agenda. This study provides a summary of advances in academic research on money laundering. The research includes bibliometric analysis and visualisation of bibliographic data using the Scopus database. The results of the study show that there has been a significant increase in the number of publications in the field of money laundering research, with topics focussed on specific areas. This study will also benchmark existing and preliminary themes, designs, and methodological choices for future money laundering research.

Methodology: With the help of the ‘visualisation of similarities’ (VOS) viewer open-source software, bibliometric analysis was performed using Scopus data. Citation analysis, topic mapping, country collaboration, co-citation analysis, and keyword co-occurrence analysis are some of the approaches used in bibliometric analysis.

Findings: Based on a bibliometric analysis of 1,391 research papers retrieved from the Scopus database over the past three decades (1990–2021), the study identified the most prominent authors, studies, journals, affiliations, and countries in the field of money laundering, as well as the most co-cited authors and journals. The writers also highlight future study issues in the field of money laundering.

Practical implications: The study’s findings might provide academics and practitioners with information on the present state of money laundering research and trend subjects. It can also be used as a guideline for identifying possible research gaps in the existing literature.

Purpose: Since its inception in 1987, the literature on the VUCA that represents the volatile, uncertain, complex, and ambiguous nature of the business environment has progressively increased. This study systematically evaluates the vast literature on the VUCA world. Since review-based studies have been criticised as biased, this study uniquely amalgamates bibliometric analysis with content analysis, thereby taking a research triangulation discourse.

Need of the Study: This study was conducted to consolidate the literature about the VUCA environment and uncover the foundational and emerging themes for future research agendas.

Design/Methodology/Approach: This study conducts a performance analysis and science mapping of 193 carefully selected articles (using PRISMA) published in various sources during 2012–2023. Articles for the study were procured from the SCOPUS database. While performance analysis focused on analysing publication and citation evolution, thematic evolution, leading publications, country publication analysis, and most relevant authors and sources. On the other hand, science mapping revealed conceptual structures (keyword plus co-occurrence analysis and thematic maps) and intellectual structures (co-authorship analysis). VOSviewer and Biblioshiny (R-tool for comprehensive science mapping) were used for this study’s choice of application.

Findings: This chapter concludes with future research agendas using content analysis of the ‘scope for the future research’ section of selected publications and bibliographic coupling (to unearth emerging themes).

Practical Implications: The work presented in this chapter will help the researchers gain a structured conceptual, intellectual, and social understanding of the vast literature on the VUCA environment.

This study systematically maps the research trends in the domain of “shadow education” over the last 40 years using metadata extracted from the SCOPUS database. The results reveal that the outputs of shadow education research have grown exponentially within the last decade. Bray and his colleagues from the University of Hong Kong, East China Normal University, and the Education University of Hong Kong have been the most prolific and influential research team. They are followed by Park and Byun from the USA, who have mostly worked on East Asian contexts. The USA, Hong Kong, South Korea, and the People’s Republic of China, have been the main sources of contributions and the University of Hong Kong has been the leading university in this field. Educational studies, economics, psychology, linguistics, and sociology have been the main disciplines researched within shadow education. Shadow education studies have revealed how shadow education can be a major instrument for maintaining and exacerbating social inequalities. They have also largely focused on the tangible (quantifiable) benefits related to improving students’ examination results. This study’s results stress the importance of regulating the private tutoring market, suggesting areas for ongoing research.

Sustainable management requires companies to build up new knowledge to acquire the competencies needed for action. This chapter aims to deliver knowledge about sustainability and knowledge for sustainability. Firstly, we systematically analyse the sustainability literature in the social sciences through a bibliographic analysis and topic modelling using VOSviewer and Mallet software. We outline research directions, themes and critical contributions for each research cluster identified. Additionally, we categorise over 30 definitions of sustainability identified by Meuer, Koelbel, and Hoffmann (2020). Secondly, we enumerate knowledge types needed for effective sustainability transitions of organisations. We trace typologies of sustainable business models and their distinct evaluations of sustainability. In this chapter, we argue that integrating the triad of social, ecological and economic goals is central for sustainability attempts as well as long-term thinking. Therefore, our research offers a comprehensive overview of sustainability in the social sciences supporting researchers and practitioners to navigate this miscellaneous and scattered field. Accordingly, our study is precious to young scholars researching sustainability who want to use the term in an informed and meaningful way.

In this chapter, to explore the past and understand the present scenario in financial market, a comprehensive literature review (LR) is performed, in which 809 articles from the database of Scopus for the last 10 years are extracted and analyzed using VOSviewer software for bibliometric analysis. Citation analysis of the popular identified factors is highlighted that will help the future researchers to focus on the identified popular factors for research in the financial market. The chapter also presents a conceptual model of financial market, to uncover the future of financial markets.