Abstract
This study has reviewed the literature related to corporate governance (CG) and blockchain technology (BCT). Theoretical and conceptual arguments are used to develop the link between CG mechanisms and BCT. The author identifies that BCT helps firms in reducing the unethical and harmful effects of entrenched managers and the information asymmetry between management and shareholders in firms. BCT, which is a distributed and decentralised ledger for recording transactions, does this by providing an advanced level of security, accuracy, transparency, and accountability in record-keeping. Thus, BCT has the potential to lower agency costs and the roles and functions of traditional CG practices in firms. However, empirical studies on this particular area are scant. Therefore, this study proposed a model for future researchers to test empirically that develops a mechanism between CG practices and BCT. This study will raise awareness among shareholders, practitioners, and policymakers about the need and importance of inducting BCT and modifying CG mechanisms in order for them to survive and be competitive.
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Notes
The costs of monitoring corporate insiders when they ignore the assumption of optimising corporate wealth and invest assets in wasteful projects that lower the firm’s value (Jensen, 1986).
For example, the term IT governance is used in the literature and is described as a set of procedures used to manage information technology through an organisation, that is, information technology alignment with business objectives, provision of resources for IT projects, and control IT performance (Bowen et al., 2007; Kaplan, 2005).
This study analyzed 129 English-language studies published from 1972 to 2021. No strict guidelines or selection criteria are established for reviewing the literature other than time constraints and language requirements. This study has employed the online database library for its literature search. This includes peer-reviewed, well-catalogued publication databases like Elsevier or Science Direct, Sage Publications, Emerald, Springer, Taylor & Francis, EBSCO Host, JSTOR, Oxford Journals, and Web of Science. The following keywords were used for literature searches, either separately or in combination, across all sources: Blockchain Technology (BCT), corporate governance, firm performance, firm value, determinants, the board size, BOD, board independence, CEO, CEO duality, managers, ownership, agency theory, agency cost, managerial entrenchment, investor protection, shareholder rights, creditor rights, information asymmetry, ownership, private firms, public firms, the major hypothesis regarding corporate governance, firm value, Tobin-Q and many other.
For more details on how BCT works, please see Yermack (2017, p. 10–17).
According to Franks (2019, 2020), BCT stores data in three phases, BC 1.0, BC 2.0 and BC 2.0. BC 1.0 enabled cryptocurrency-based financial transactions and payments, starting with Bitcoin. The nodes on the distributed network include financial transactions that took place in the first phase. Financial transactions from the first phase are included among the nodes on the dispersed network. These nodes can be full nodes and light nodes. Full nodes keep track of the entire transaction list, whereas light nodes keep track of the partial transaction list. Miners make blocks by arranging transactions and submitting these blocks for authorization to the network. Miners are paid for their work, and the network is extended using authenticated blocks. When Ethereum offered smart contracts distributed apps that run on top of a BC, BC 2.0 was born. Ethereum also launched solidity, a contract-based programming language for smart contracts (Kasireddy, 2017). Smart contracts enable the creation of agreements for multi-signature wallets, blind auctions, voting, crowdsourcing, and other uses. Whenever a set of regulations is followed, as when opposing sides execute a contract, smart contracts perform transactions (agreements). Interoperability with other systems and services via the BCT network is a requirement in BC 3.0. This phase of BCT introduces BC as a service (BaaS), a model in which existing businesses pool customer services with respective assets. Clients can design, store, and use their own BC apps, smart contracts, and services using cloud-based alternatives. All of the tasks and operations required to keep the infrastructure nimble and operational are managed by the cloud-based service provider. Clients can make nodes of hyperledger fabric (things like desktops or laptops etc.) and link them to a BC network using cloud-based vendors' BC solutions.
A technology, which is home to global payments, digital money, and applications. The community has created a thriving digital economy, innovative ways for creators to make money online, and more.
The Frankfurt Deutsche Borse and the US NASDAQ are among the beginners to investigate the use of BCT in stock markets (see, for example, Hope and Casey (2015) and Anna (2015)). In 2016, the Estonian Stock Exchange did an experiment to cast shareholder votes using BCT. Irrera and Kelly (2017) stated in their study that the stock exchanges worldwide, including the Australian securities exchange, London stock market, NASDAQ, Korean stock market, and Tallinn stock market, have executed BCT. NASDAQ’s Linq and LSE offer the transfer of shares among investors, employees, and founders to companies. These facilities allow their clients to register the firm’s ownership online, thus decreasing the settlement involved in the supply of shares and reducing the need of using paper shares (Petrasic & Bomfreund, 2016). BCT has been the most widely used in Australia in the area of corporate finance. The Sydney Stock Exchange announced in January 2016 that it is planning to modify its settlement and clearing system using BCT.
Some of the scandals due to these issues are documented by Yermack (2017) include the LIBOR manipulation (2011), foreign exchange front-running (2013), gold and silver fixing (2014), NASDAQ odd-eighths (1994), after-hours mutual fund trading (2003), and the technology stock IPO (2002).
Grover et al. (2019) found BCT diffusion in various industries. They have reported that innovative decision-making processes (knowledge, persuasion, decision, implementation, and assurance) vary across industries. Tijan et al. (2019) stated that the logistics sector uses BCT extensively. They argued that logistic challenges such as cargo damage, omissions, order delays, incorrect carts, and data entry errors are greatly reduced with the use of BCT.
Akgiray (2019) and Franks (2020) have further divided these two types of BCT into four sub-categories. Public permission-less: open to anyone, and anyone can write and commit. Public permissioned: open to anyone, and only authorised persons can write and commit. The consortium: restricted to an authorised set of participants, and only authorised persons can write and commit. Private permissioned: a fully private or limited set of authorised nodes and only the network operator can write and commit.
Due to mandatory disclosure requirements, record-keeping, and specific requirements of the stock exchange for public firms, it is hard to fully implement the BCT in private firms (Sing et al., 2019). Recording financial data on the public BC makes the transactions more transparent and reduces manipulation in accrual earning management and other financial reporting–related activities (Yermack, 2017). Through public BCT, the information related to the transfer of share ownership, acquisitions of shares, and liquidating assets becomes much more transparent and is easily available at a lower cost.
BCT uses a “chain of blocks” to record data, which is usually updated by several participants in an open-source network (Nakamoto, 2008). Since “rewrite history” or changing entries by the participant is impossible, and the BCT is updating information on a continuous (daily) basis thus, manipulations become difficult and getting real-time data by the participant is much easier (Bystrom, 2019).
Singh et al. (2019) investigated BC acceptance through the technology acceptance model by stakeholders in the context of CG. To check the model fit between the actual behaviour and behavioural intention, they have used structural equation modelling and confirmatory factors analysis. Based on the trading corporate stocks experience, they have selected 223 respondents. They have found a strong association between behavioural intention and actual behaviour, perceived usefulness, and behavioural intention to adopt advanced technology. Jain et al. (2020) conducted a similar study and examined the customer acceptance of BCT in the logistics industry. On the other hand, Franks (2020) has discussed the challenges that organisations face in the adaptation of BCT.
Yermack (2017) provides this information and can be found at; http://www.coindesk.com/kenyan-court-upholds-bid-keep-bitpesa-off-mobilemoney-platform/.
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Akhtar, T. Blockchain Technology: the Beginning of a New Era in Reforming Corporate Governance Mechanisms. J Knowl Econ (2023). https://doi.org/10.1007/s13132-023-01289-7
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DOI: https://doi.org/10.1007/s13132-023-01289-7