Are Financial Reports Useful? The Views of New Zealand Public Versus Private Users

This study reports on surveys conducted with users of financial reports in New Zealand. We compare findings for users of reports of two types of for‐profit entities, namely those with public accountability (public entities) and those with no public accountability (private entities). The findings indicate that both types of users have similar perceptions regarding the usefulness of financial statements, with the income statement and balance sheet rated as the most useful components. Furthermore, both types of users, especially private users, perceive financial statements as the most important information source for decision making. Public users have a greater interest in supplementary information than private users. The findings of this study contribute to the debate around differential reporting for private companies and have policy implications with regard to the user‐needs approach to accounting standard setting.     

Machine‐independent audit trail analysis—a tool for continuous audit assurance

This paper reports the results of a research project which examines the feasibility of developing a machine‐independent audit trail analyser (MIATA). MIATA is a knowledge‐based system which performs intelligent analysis of operating system audit trails. Such a system is proposed as a decision support tool for auditors when assessing the risk of unauthorized user activity in multi‐user computer systems. It is also relevant to the provision of a continuous assurance service to clients by internal and external auditors. Monitoring user activity in system audit trails manually is impractical because of the vast quantity of events recorded in those audit trails. However, if done manually, an expert security auditor would be needed to look for two main types of events—user activity rejected by the system's security settings (failed actions) and users behaving abnormally (e.g. unexpected changes in activity such as the purchasing clerk attempting to modify payroll data). A knowledge‐based system is suited to applications that require expertise to perform well‐de?ned, yet complex, monitoring activities (e.g. controlling nuclear reactors and detecting intrusions in computer systems). To permit machine‐independent intelligent audit trail analysis, an anomaly‐detection approach is adopted. Time series forecasting methods are used to develop and maintain the user pro?le database (knowledge base) that allows identi?cation of users with rejected behaviour as well as abnormal behaviour. The knowledge‐based system maintains this knowledge base and permits reporting on the potential intruder threats (summarized in Table I). The intelligence of the MIATA system is its ability to handle audit trails from any system, its knowledge base capturing rejected user activity and detecting anomalous activity, and its reporting capabilities focusing on known methods of intrusion. MIATA also updates user pro?les and forecasts of behaviour on a daily basis. As such, it also ‘learns’ from changes in user behaviour. The feasibility of generating machine‐independent audit trail records, and the applicability of the anomaly‐detection approach and time series forecasting methods, are demonstrated using three case studies. These results support the proposal that developing a machine‐independent audit trail analyser is feasible. Such a system will be an invaluable aid to an auditor in detecting potential computer intrusions and monitoring user activity. Copyright © 2004 John Wiley & Sons, Ltd.     

Configuring blockchain architectures for transaction information in blockchain consortiums: The case of accounting and supply chain systems

This paper investigates alternative configurations of different blockchain architectures that can be used for gathering and processing transactions in a range of different settings, including accounting, auditing, supply chain and other types of transaction information. Although there has been substantial focus on the peer‐to‐peer and public versions of blockchain, this paper focuses primarily on cloud‐based and private configuration versions of blockchains and investigates use configurations, advantages and limitations as firms bring blockchain‐based market mechanisms into their organizations. In addition, this paper investigates some emerging issues associated with blockchain use in consortium settings. Finally, this paper relates some proposed uses of blockchain for transaction processing to other technologies, such as data warehouses and databases.     

Some issues in blockchain for accounting and the supply chain,with an application of distributed databases to virtual organizations

This paper reviews some recent blockchain‐based applications for information capture, distribution and preservation. As part of that review, this paper examines two key concerns with current blockchain designs for accounting and supply chain transactions: data independence and multiple semantic models for the same information distribution problem. Blockchain applications typically integrate database, application and presentation tiers all in the same ledger. This results in a general inability to query information in the ledger and other concerns. Further, since most applications appear to be private blockchain applications, there is a concern of agents needing to accommodate multiple blockchains depending on who their trading partners are and what they request. Finally, this paper uses a distributed database to design a ‘blockchain‐like’ system for virtual organizations.     

Web usage mining approaches to page recommendation and restructuring

As an increasing number of Web sites such as e-businesses consist of an increasing number of pages, users find it more difficult to rapidly reach their own target pages. Ill-structured design of Web sites also prevents the users from rapidly accessing the target pages. In this paper, we describe two complementary approaches to Web usage mining as a key solution to these issues. First, we describe an adaptable recommendation system called the L-R system, which constructs user models by classifying the Web access logs and by extracting access patterns based on the transition probability of page accesses and recommends the relevant pages to the users based on both the user models and the Web structures. We have evaluated the prototype system and have obtained the positive effects. Second, we describe another approach to constructing user models, which clusters Web access logs based on access patterns. The user models also help to discover unexpected access paths corresponding to ill-formed Web site design. Copyright © 2003 John Wiley & Sons, Ltd.     

Accounting and Auditing at the Time of Blockchain Technology: A Research Agenda

Blockchain is a distributed ledger technology expected to have significant impacts on the accounting and auditing profession. This study, applicable and timely for both accounting and auditing scholars and practitioners, explores blockchain technology and its main implications for the accounting and auditing profession. The research question addressed in this study is: What are the major themes emerging from academic research and professional reports and websites debating blockchain technology in the accounting and auditing context? A literature review of academic literature and professional reports and websites is performed to identify a taxonomy of emerging themes. The study finds that the most discussed themes in scholarly works and professional sources are governance, transparency and trust issues in the blockchain ecosystem, blockchain‐enabled continuous audits, smart contract applications and the paradigmatic shift in accountants' and auditors' roles. Based on these four themes, practical implications for accountants and auditors on how to approach the blockchain development are provided. Moreover, this study offers suggestions for future research on accounting and auditing in the blockchain era.     

Blockchain as the Database Engine in the Accounting System

This paper examines the prediction that blockchain technology will transform accounting and the profession because transactions recorded on a blockchain can be aggregated into financial statements and confirmed as true and accurate. We argue that blockchain technology affects the database engine of the accounting information system (AIS) through digitisation of the current paper‐based validation process. In a blockchain‐based AIS, accountants will no longer be the central authority but will remain the preparer of financial reports required by regulations; they will continue to influence policies such as the choice and accreditation of validators and serve as validators of last resort. Audit evidence still needs to be gathered for rendering of an audit opinion in a blockchain‐based AIS. While digitisation of the validation process reduces the error rate and lowers the cost of vouching and tracing, and immutability of blockchain data reduces the incentive and opportunities for fraud, a blockchain‐based AIS alone does not guarantee that financial reports are true and fair. Lower error rates and reduced incentives for accounting fraud in a blockchain‐based AIS are expected to improve audit quality. This prediction will need to be empirically tested when blockchain‐based AIS become available. Using the three‐tier architecture of the AIS, this paper addresses the gap in the literature that misses how characteristics of blockchain technology can influence the implementation of a blockchain‐based AIS with related implications for the accounting profession.     

An Experimental Investigation of Alternative Going‐Concern Reporting Formats: A Canadian Experience*

This study questions whether the current or proposed Canadian standard of disclosing a going‐concern contingency is viewed as equivalent to the standard adopted in the United States by financial statement users. We examined loan officers' perceptions across three different formats ‐ namely, an integrated note with a clean auditor's report (the current Canadian standard), a stand‐alone note with referencing on the face of the balance sheet and income statement (the proposed and now rescinded standard), and a modified auditor's report with an explanatory paragraph in addition to a stand‐alone going concern note (the standard adopted in the United States and other countries). Bank loan officers were selected as the appropriate financial statement users for this study. The results of the test of the hypothesis suggest that once the going‐concern note is fully disclosed in the notes, the style of presentation within the notes (a stand‐alone note versus an integrated note) does not significantly influence the reactions and perceptions of risk if the auditor's report is unmodified (i.e., if no reference is made to a going‐concern contingency). However, when the auditor's report is modified with an explanatory paragraph detailing the uncertainty and referencing the going‐concern note in the footnotes, the format appeared to convey a stronger signal of financial distress to loan officers. These results appear to differ from prior research, which holds that once the information is released in the financial statements, the format has no additional effect. The finding of this study is that the proposed and withdrawn Canadian standard was not perceived differently by the bankers from the present Canadian standard, but the standard adopted in the United States and most other countries was. This makes a strong argument for moving all the way to that standard as opposed to the “halfway” approach of the now rescinded CICA exposure draft. Thus, the public interest in Canada may not be served by adopting a halfway approach.     

BUSINESS INTELLIGENCE (BI) SUCCESS AND THE ROLE OF BI CAPABILITIES

Business intelligence (BI) has become the top priority for many organizations who have implemented BI solutions to improve their decision‐making process. Yet, not all BI initiatives have fulfilled the expectations. We suggest that one of the reasons for failure is the lack of an understanding of the critical factors that define the success of BI applications, and that BI capabilities are among those critical factors. We present findings from a survey of 116 BI professionals that provides a snapshot of user satisfaction with various BI capabilities and the relationship between these capabilities and user satisfaction with BI. Our findings suggest that users are generally satisfied with BI overall and with BI capabilities. However, the BI capabilities with which they are most satisfied are not necessarily the ones that are the most strongly related to BI success. Of the five capabilities that were the most highly correlated with overall satisfaction with BI, only one was specifically related to data. Another interesting finding implies that, although users are not highly satisfied with the level of interaction of BI with other systems, this capability is highly correlated with BI success. Implications of these findings for the successful use and management of BI are discussed. Copyright © 2012 John Wiley & Sons, Ltd.     

Blockchain and the Journey Beyond Double Entry

Whilst blockchain technology has attracted substantial attention within the scholarly literature of a number of disciplines, including economics, finance, law and technology, it has been subject to minimal discussion and scrutiny within the scholarly accounting literature. This article argues that this is a missed opportunity and that the maturation of blockchain technology may represent as profound a shift in accounting as the emergence and adoption of double‐entry accounting.     

The fair value of a token: How do markets price cryptocurrencies?

With the rise of cryptocurrency tokens as a new asset class, the question of the fair evaluation of a cryptocurrency token has become a question of increasing importance. We estimate the pricing kernel with which users price factors affecting their token holdings. We investigate how traditional risk factors such as market risk are evaluated, as well as how blockchain specific risk factors are priced in. In order to do so, we introduce an asset pricing model and modify its properties to make it applicable to cryptocurrency markets. We group the risk factors into market related and Bitcoin- and Ethereum blockchain specific risk factors. We find that blockchain specific risk factors are priced in. There is evidence that risk factors have moved from Bitcoin to Ethereum specific risk factors with an increasing importance of market factors, providing evidence for a decoupling of on-chain and off-chain trading activity.     

Bayesian comparison of several continuous time models of the Australian short rate

This paper provides an empirical analysis of a range of alternative single‐factor continuous time models for the Australian short‐term interest rate. The models are nested in a general single‐factor diffusion process for the short rate, with each alternative model indexed by the level effect parameter for the volatility. The inferential approach adopted is Bayesian, with estimation of the models proceeding through a Markov chain Monte Carlo simulation scheme. Discrimination between the alternative models is based on Bayes factors. A data augmentation approach is used to improve the accuracy of the discrete time approximation of the continuous time models. An empirical investigation is conducted using weekly observations on the Australian 90 day interest rate from January 1990 to July 2000. The Bayes factors indicate that the square root diffusion model has the highest posterior probability of all models considered.     

Enhanced ABC costing for hospitals: directed expense costing

Space limitations do not allow a complete discussion of all the topics and many of the obvious questions that the preceding brief introduction to directed expense costing probably raised in the reader's mind. These include how errors in accounting practices like posting expenses to the wrong period are handled; and how the system automatically adjusts costs for expenses benefiting several periods but posted to the acquisition month. As was mentioned above, underlying this overtly simple costing method are a number of sophisticated and sometimes complex processes that are hidden from the normal user and designed to automatically protect the integrity and accuracy of the costing process. From a user's viewpoint, the system is straightforward, understandable, and easy to use and audit. From a software development perspective, it is not quite that effortless. By using a system that is understood by all users at all levels, these users can now communicate with each other in a new and effective way. This new communication channel only occurs after each user is satisfied as to the overall costing quality achieved by the process. However, not all managers or physicians are always happy that the institution is using this "understandable" cost accounting system. During one of the weekly meetings of a hospital's administrative council, complaints from several powerful department heads concerning the impact that the use of cost data was having on them were brought up for discussion. In defending the continued use of the system, one vice president stated to the group that cost accounting does not get any easier than this, or any less expensive, or any more accurate. The directed expense process works and works very well. Our department heads and physicians will have to come to grips with the accountably it provides us to assess their value to the hospital.     

Proposed Changes in Lease Accounting and Private Business Bankers' Credit Decisions*

This study contributes to the debate on lease accounting currently ongoing at the international level and to future discussions at the Canadian level for private enterprise standards following a potential revision of lease accounting in international financial reporting standards (IFRS). A user perspective is adopted to examine private business bankers' preferences on the issue of capitalizing all noncancelable lease contracts, including operating leases, as suggested by the G4+1. While bankers use both capital and operating lease information, they give significantly more consideration to the former when analyzing private business loan requests. Accordingly, operating lease information receives less attention than capital lease information in the credit‐granting decision process. In addition, private business bankers consider a number of aspects of the current lease accounting standard to be inadequate and are in favor of the principles governing the approach suggested by the G4+1. They feel that the capitalization of operating leases would improve their ability to evaluate lessees' long‐term financial commitments and increase their estimates of the risks involved in providing financing to lessees. This study also demonstrates that the capitalization of operating leases would have a significant impact on key financial indicators of a sample of Canadian private companies. Bankers perceive that these realistic changes in financial indicators would affect their assessment of borrowers' capital structure/solvency, liquidity, ability to repay, and risk rating. From a cost‐benefit perspective, the findings provide standard‐setters with an indication of the benefits of the G4+1 proposals to users.     

Reorganizing web sites based on user access patterns

In this paper, an approach for reorganizing Web sites based on user access patterns is proposed. Our goal is to build adaptive Web sites by evolving site structure to facilitate user access. The approach consists of three steps: preprocessing, page classification, and site reorganization. In preprocessing, pages on a Web site are processed to create an internal representation of the site. Page access information of its users is extracted from the Web server log. In page classification, the Web pages on the site are classified into two categories, index pages and content pages, based on the page access information. After the pages are classified, in site reorganization, the Web site is examined to find better ways to organize and arrange the pages on the site. An algorithm for reorganizing Web sites has been developed. Our experiments on a large real data set show that the approach is efficient and practical for adaptive Web sites. Copyright © 2002 John Wiley & Sons, Ltd.     

The Review Report: An Empirical Investigation

A laboratory study was used to investigate two questions of relevance to the expectations gap: (1) what differences do the users of financial statements perceive between an audit and a review?, and (2) what impact does changing the format of the audit report from the short form wording used in the UK prior to September 1993 to an expanded version (based on the expanded US audit report) have on these perceptions? Results of investigating (1) indicate that users perceive a number of differences between the audit and the review. Results of investigating (2) demonstrate that expansion of the audit report increases the number of differences perceived by users. The paper goes on to discuss the results in the context of the differences between an audit and a review suggested by IFAC guidelines. It was found that, in a number of respects, IFAC guidelines are inconsistent with user perceptions irrespective of the expansion of the audit report. The implication for audit policy is that any proposal to promote the use of reviews in the UK should address this inconsistency either by reappraising and refining IFAC's guidance on the review and/or by sharpening user perceptions of the review through careful wording of both the review and the audit reports.     

“The first mile problem”: Deriving an endogenous demand for auditing in blockchain-based business processes

In this paper, we model the business process within which blockchain applications operate in order to extract an endogenous demand for auditing in that environment. We begin by undertaking a case study of the pharmaceutical drug industry supply chain, exploring both the proposed blockchain initiatives in it initiated by the FDA and startup companies, and the problems in the supply chain that blockchain cannot address. Drawing on this analysis, we derive an endogenous demand for auditing to overcome what we label the “first mile problem” (FMP) with blockchains: ensuring that the data stored on the blockchain distributed ledger is isomorphic with the real life data that it purports to represent. The first mile problem arises only when the blockchain is used to store data about physical items, especially ones involving a service component, rather than being native digital, as is the case with the genesis blockchain application, bitcoin. We show that unless it is feasible to store a “digital twin” of the item (Roberts, 2017), there is a role for auditors, with the training in professional skepticism, to help alleviate the first mile problem. There is no guarantee, however, that this new demand for auditing will be met by the traditional financial statement auditors.     

Organizing and personalizing intelligence gathering from the web

In this paper, we describe how an integrated web‐based application, code‐named FOCI (F lexible O rganizer for C ompetitive I ntelligence), can help the knowledge worker in the gathering, organizing, tracking and dissemination of competitive intelligence (CI). It combines the use of a novel user‐configurable clustering, trend analysis and visualization techniques to manage information gathered from the web. FOCI allows its users to define and personalize the organization of the information clusters according to their needs and preferences into portfolios. These personalized portfolios created are saved and can be subsequently tracked and shared with other users. The paper runs through an example to show how the use of a predefined domain template coupled with personalization can greatly enhance an organization and tracking of CI gathered from the web. Copyright © 2002 John Wiley & Sons, Ltd.     

Triple‐entry accounting with blockchain: How far have we come?

Although double‐entry accounting has been used for more than 600 years, today’s era of disruptive technological change utilising blockchain and FinTech has led to the emergence of another promising accounting method: triple‐entry accounting. This paper explores triple‐entry accounting, from its conception to the current state of play, using three case studies. We find that: (i) in a blockchain ecosystem, for some accounts, business entities will only need to perform a single entry internally and the opposite entry will be recorded in a public shared ledger; and (ii) triple‐entry accounting is a new and a more efficient way to address fundamental trust and transparency issues that plague current accounting systems. Triple‐entry accounting with blockchain, when properly implemented, can fundamentally improve accounting.