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Blockchain technology has led the evolution of double entry accounting system to triple entry accounting system. Triple entry accounting is an innovative, promising and potential accounting method when implemented properly would be a game changer for dissemination of accounting information. It is an efficient way to address fundamental concerns of accounting information. This chapter discusses the triple entry accounting system, how it is different from double entry accounting and what are the concerns in implementing triple entry accounting. Triple entry accounting holds the potential to fundamentally evolve accounting practices, can enhance the effective utilisation and sustainable management of resources, and can contribute in development of financial markets.

Purpose: The insurance business is confronted with coordination difficulties that necessitate a high level of mobility, flexibility, and the capacity to analyse heterogeneous, location-dependent data from different sources and qualities. Recent innovations in emerging technologies have given the insurance industry new organisational options. When coupled with data analytics, crowdsourcing in the insurance industry facilitates solving complex issues with the wisdom of crowds. The notion of incorporating crowdsourcing and big data into the mainstream activities of insurance management is developed in this article, as are the ramifications and gains of collective intelligence achieved by Crowdsourcing and the added value of crowdsourcing insurance activities.

Design/methodology/approach: This chapter is a conceptual work that builds on relevant literature.

Findings: This chapter analyses what insurance industry managers should consider when coordinating crowdsourced activities and how they may benefit from collective intelligence combined with data analytics in terms of efficient and real-time response management for the insurance industry. Furthermore, it is demonstrated how they may use crowdsourcing to exploit information and benefit from invoking additional resources and eliminating the institutional voids present in the industry.

Practical implications: Exemplary applications that take advantage of crowdsourcing and data analytics would help the insurance sector respond flexibly, efficiently, and effectively in real time.

Originality/value: This chapter offers new collaborative ways to enhance the decision-making of insurance industry managers. The relevance of overcoming institutional voids is expanded, and repercussions from the given framework are suggested using data analytics.

Purpose: The purpose of this chapter is to offer a discussion on the role played by Central Bank Digital Currency (CBDC) in enhancing financial inclusion. The central interest of the study is to place CBDC on the financial inclusion landscape and provide insights on potential opportunities and barriers in making CBDC a strong building block of financial inclusion, as well as the digital financial system.

Design/methodology/approach: This chapter is a conceptual work that builds on relevant literature. This study identifies and suggests potential aspects that can help in the adoption of CBDC as a tool for financial inclusion.

Findings: This chapter analyses opportunities, barriers, and concerns for CBDC in the context of financial inclusion and discusses how critical functions of blockchain technology can lead to the acceptance and adoption of CBDC. Furthermore, it has been demonstrated how CBDC can pave the way for financial inclusion and benefit the existing financial system taking more people from financial exclusion towards financial inclusion.

Originality/value: This is evident that CBDCs and financial inclusion need to be intertwined to support upcoming technological transformations happening in the digital financial ecosystem. Therefore, CBDCs must be viewed from varying lenses to understand the relevance of including CBDCs in the financial system can be expanded. Further, repercussions from the given framework are suggested.