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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.

The purpose of this study is to use an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model to investigate the intention to use blockchain from the accountant's point of view. The proposed model is expected to provide the necessary incentives for accountants to adopt blockchain. The authors build external constructs based on discussions of blockchain properties for accounting such as accounting information quality, job relevance and trust. In addition, the study also considers computer self-efficacy and compatibility as factors related to practitioners’ blockchain acceptance.

By using the developed online-questionnaire, the data is collected from the responses of 317 accountants working in listed enterprises in Vietnam. The main analyzes are performed by Smart partial least squares structural equation modeling technique to present both direct and indirect effects on the intention to use blockchain.

Experimental results provide many interesting and valuable things. First, performance and effort expectancy have a positive influence on intention to use blockchain, while social influence has a lower influence. Second, trust has a direct and positive effect on effort and performance expectancy, as well as intention to use blockchain. Quite surprisingly, accounting information quality has a positive effect on performance expectancy, while job relevance has a negative effect. Fourth, computer self-efficacy and compatibility have a positive effect on effort expectancy. It is more interesting that the intention to use blockchain has nothing to do with compatibility. The results of this study also show that performance and effort expectancy play a mediating role in the indirect effects of trust, computer self-efficacy and compatibility on intention to use blockchain.

The study shows that accountants in Vietnam have a high intention to use blockchain. This implies that the Vietnamese Government and the professional association should design training programs or open training sessions on blockchain. Accountants can clearly understand the importance of blockchain in their work as well as the positive effect of blockchain on performance. They are consulted on how to use blockchain. They also perceive that using blockchain is not too difficult, and the acceptance of this technology will be higher. Additionally, universities should put triple-entry accounting into their teaching, so accounting students can improve their skills and knowledge relevant to blockchain to meet their career needs in the future.

The study proposes an extended UTAUT model with external constructs built on blockchain's effects on accounting. The model makes more sense in promoting the use of blockchain in accounting.

To this day, triple‐entry accounting and momentum accounting are seldom applied. We regret this because of the growing need for more forward‐looking information by management and external stakeholders and the apparent lack of theory and practical solutions. The ever‐increasing pace of the economy incites the need to disclose trends on the microeconomic level of a company. Further to this point, recent developments related to corporate governance, give new imputs to search for the answer to the question if we can improve the reliability and effectiveness of accounting in general, and financial statements in particular. This paper may contribute in to a better understanding of the concept that underpins momentum accounting. We present a notional example concerning the balance sheet ratio: return on equity. This example, so we hope, should encourage practitioners and academics to explore the usability of triple‐entry accounting and momentum accounting as alternative means to provide more forward‐looking information.

This study aims to review the academic literature on the utilization of blockchain in accounting practice and research to identify potential opportunities for further scientific investigation and to provide a framework for how accounting practices are impacted by blockchain.

This study is based on a systematic literature review (SLR) of 346 research products available on Scopus, which were mapped with bibliometric analyses and critically discussed in relation to three main topics: the impact of blockchain on accounting and auditing, cryptoassets and finance, business models and supply chain management.

Blockchain has many potential implications for accounting practice and research. In addition to providing the state-of-the-art of accounting research on blockchain and additional avenues for further studies, this study discusses why practitioners are interested in this technology: triple-entry bookkeeping, the inalterability of transactions, the automation of repetitive tasks that do not require discretionary choices, the representation of cryptocurrencies in financial statements, value-chain management, social and environmental auditing and reporting and business model innovation.

The novel contribution of this study is integrated and threefold. First, this SLR provides a clear picture of the state of the accounting research on blockchain using bibliographic and narrative analyses. Second, it investigates how accounting and auditing practices are impacted by blockchain. Third, it contributes to the accounting literature with its discussion of the potential future research trends related to blockchain for accounting.

This paper aims to extend an earlier analysis of the profitability of an individual firm operating in the professional services industry from the perspective of the triple‐entry framework of the momentum accounting theory of Yuji Ijiri.

The paper presents a “common‐size‐format” model of balance‐sheet momentum, an approach typical of financial statements' mathematical analysis.

Common‐size‐format momentum ratios offer an alternative measurement of (the change of) business performance. They model stabilizing phenomena that might develop very differently from ratios like return on total assets or return on equity and thus provide important informational signals to the analyst of financial statements. The common‐size‐format ratio of net wealth momentum herein discussed is proposed as a supplemental measurement for business performance analysis.

The paper discusses a new method for performance measurement and risk analysis.

Blockchain’s potential is so significant that business activities across all industries can be drastically altered. Furthermore, the characteristics of blockchain appear to be well-suited to accounting requirements. However, accounting professionals’ attitude and intention toward blockchain adoption are not clear, particularly in India. Thus, this study aims to investigate and evaluate accountants’ intention to adopt blockchain technology in accounting activities.

This study examined and assessed accountants’ intention to use blockchain in accounting. To effectively measure usage intention, this study extended the unified theory of acceptance and use of technology (UTAUT) model by including context-specific constructs. To empirically test and validate the proposed model, data were collected from “369” professional accountants in India.

The findings revealed that facilitating conditions, performance expectancy and initial trust had a significant impact on adoption. Furthermore, the regulatory framework materially moderated the association between usage intention and its predictors.

These findings provide new empirical evidence about the impact of different predictors of usage intention by extending the UTAUT model. Relevant stakeholders can refer to this pioneering study to increase the adoption of blockchain as an efficient and trustworthy system among professional accountants, particularly in developing countries such as India.

This study aims to present an overview of topics addressed in the papers appearing in this AAAJ special issue: Blockchain in accounting, accountability and assurance.

The authors present a review focussing on the papers published in this special issue. The authors imported the eight accepted papers into NVivo, coding them according to the research topics posed in the call for papers. Then, the authors conducted an in vivo coding for the emerging themes found in the papers.

Blockchain is a multifaced topic with multiple implications for accounting, auditing and accountability, the accounting professions, and governance. However, blockchain is still a developing topic. Blockchain research traditionally has four stages. More recently, a new research stage deserving more investigation is emerging based on the interaction of blockchain with other technological developments such as virtual reality and the metaverse.

The review not only uncovers and systematises the multiple implications of blockchain for accounting research. It also unveils the dark side of blockchain, focusing on the technology's negative environmental and social implications. Last, the authors highlight why accounting research should more extensively examine contemporary issues.

Critics say cryptocurrencies are hard to predict and lack both economic value and accounting standards, while supporters argue they are revolutionary financial technology and a new asset class. This study aims to help accounting and financial modelers compare cryptocurrencies with other asset classes (such as gold, stocks and bond markets) and develop cryptocurrency forecast models.

Daily data from 12/31/2013 to 08/01/2020 (including the COVID-19 pandemic period) for the top six cryptocurrencies that constitute 80% of the market are used. Cryptocurrency price, return and volatility are forecasted using five traditional econometric techniques: pooled ordinary least squares (OLS) regression, fixed-effect model (FEM), random-effect model (REM), panel vector error correction model (VECM) and generalized autoregressive conditional heteroskedasticity (GARCH). Fama and French's five-factor analysis, a frequently used method to study stock returns, is conducted on cryptocurrency returns in a panel-data setting. Finally, an efficient frontier is produced with and without cryptocurrencies to see how adding cryptocurrencies to a portfolio makes a difference.

The seven findings in this analysis are summarized as follows: (1) VECM produces the best out-of-sample price forecast of cryptocurrency prices; (2) cryptocurrencies are unlike cash for accounting purposes as they are very volatile: the standard deviations of daily returns are several times larger than those of the other financial assets; (3) cryptocurrencies are not a substitute for gold as a safe-haven asset; (4) the five most significant determinants of cryptocurrency daily returns are emerging markets stock index, S&P 500 stock index, return on gold, volatility of daily returns and the volatility index (VIX); (5) their return volatility is persistent and can be forecasted using the GARCH model; (6) in a portfolio setting, cryptocurrencies exhibit negative alpha, high beta, similar to small and growth stocks and (7) a cryptocurrency portfolio offers more portfolio choices for investors and resembles a levered portfolio.

One of the tasks of the financial econometrics profession is building pro forma models that meet accounting standards and satisfy auditors. This paper undertook such activity by deploying traditional financial econometric methods and applying them to an emerging cryptocurrency asset class.

This paper attempts to contribute to the existing academic literature in three ways: Pro forma models for price forecasting: five established traditional econometric techniques (as opposed to novel methods) are deployed to forecast prices; Cryptocurrency as a group: instead of analyzing one currency at a time and running the risk of missing out on cross-sectional effects (as done by most other researchers), the top-six cryptocurrencies constitute 80% of the market, are analyzed together as a group using panel-data methods; Cryptocurrencies as financial assets in a portfolio: To understand the linkages between cryptocurrencies and traditional portfolio characteristics, an efficient frontier is produced with and without cryptocurrencies to see how adding cryptocurrencies to an investment portfolio makes a difference.

This paper provides a structured literature review of blockchain in accounting. The authors identify current trends, analyse and critique the key topics of research and discuss the future of this nascent field of inquiry.

This study’s analysis combined a structured literature review with citation analysis, topic modelling using a machine learning approach and a manual review of selected articles. The corpus comprised 153 academic papers from two ranked journal lists, the Association of Business Schools (ABS) and the Australian Business Deans Council (ABDC), and from the Social Science Research Network (SSRN). From this, the authors analysed and critiqued the current and future research trends in the four most predominant topics of research in blockchain for accounting.

Blockchain is not yet a mainstream accounting topic, and most of the current literature is normative. The four most commonly discussed areas of blockchain include the changing role of accountants; new challenges for auditors; opportunities and challenges of blockchain technology application; and the regulation of cryptoassets. While blockchain will likely be disruptive to accounting and auditing, there will still be a need for these roles. With the sheer volume of information that blockchain records, both professions may shift out of the back-office toward higher-profile advisory roles where accountants try to align competitive intelligence with business strategy, and auditors are called on ex ante to verify transactions and even whole ecosystems.

The authors identify several challenges that will need to be examined in future research. Challenges include skilling up for a new paradigm, the logistical issues associated with managing and monitoring multiple parties all contributing to various public and private blockchains, and the pressing need for legal frameworks to regulate cryptoassets.

The possibilities that blockchain brings to information disclosure, fraud detection and overcoming the threat of shadow dealings in developing countries all contribute to the importance of further investigation into blockchain in accounting.

The authors’ structured literature review uniquely identifies critical research topics for developing future research directions related to blockchain in accounting.