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The paper aims to investigate how accounting techniques, when embedded within data-driven public-sector management systems, mask and intensify the neoliberal ideological commitments of powerful state and corporate actors. The authors explore the role of accounting in the operationalisation of “instrumentarian power” (Zuboff, 2019) – a new form of power that mobilises ubiquitous digital instrumentation to ensure that algorithmic architectures can tune, herd and modify behaviour.

The authors employ a qualitative archival analysis of publicly available data related to the automation of welfare-policing systems to explore the role of accounting in advancing instrumentarian power.

In exploring the automation of Australia's welfare debt recovery system (Robodebt), this paper examines a new algorithmic accountability that has emerged at the interface of government, technology and accounting. The authors show that accounting supports both the rise of instrumentarian power and the intensification of neoliberal ideals when buried within algorithms. In focusing on Robodebt, the authors show how the algorithmic reconfiguration of accountability within the welfare system intensified the inequalities that welfare recipients experienced. Furthermore, the authors show that, despite its apparent failure, it worked to modify welfare recipients' behaviour to align with the neoliberal ideals of “self-management” and “individual responsibility”.

This paper addresses Agostino, Saliterer and Steccolini's (2021) call to investigate the relationship between accounting, digital innovations and the lived experience of vulnerable people. To anchor this, the authors show how algorithms work to mask the accounting assumptions that underpin them and assert that this, in turn, recasts accountability relationships. When accounting is embedded in algorithms, the ideological potency of calculations can be obscured, and when applied within technologies that affect vulnerable people, they can intensify already substantial inequalities.

The penetration of technology and the strengthening of evidence-based policies have paved the way for the automated delivery of social services. This study aims to discuss the inherent risks of this automatization, particularly those associated with the discrimination, exclusion and inequality problem, which the authors package under the theoretical umbrella of a digital welfare state (DWS).

This conceptual article reviews the literature on the welfare DWS, with an empirical focus on the recent experience of selected countries from India, Kenya and Sweden. These countries reflect three different types of welfare regimes but are connected by the same digital social risk. The authors’ exploration also includes questions about what this DWS has in common with and how it differs from the previous era. This article illustrates that there has been a very similar trajectory in regards to the development of the DWS and the associated risks in the examined countries.

DWS has triggered new social risks (e.g. discrimination, exclusion and inequality in welfare access) that are a result of data breaches experienced by citizens. Further, vulnerable groups in the digital age should be viewed not only as those who lack access to welfare services, such as education, health and employment, but also as those without internet access, without digital skills and excluded from the DWS system.

The article calls for the development of scholarly research into the DWS in particular and the contemporary one in general. The authors also predict that a critical aspect of the future regime typology rests in the ability to mobilize resources to address contemporary digital risks, as every country is equally vulnerable to them. Overall, this article can be considered to be one of the initial works that focus on cross-national comparison across different meta-welfare regimes.

Artificial intelligence (AI) is intelligence displayed by machines, in contrast with the natural intelligence (NI) displayed by humans and other animals. It is also known as machine intelligence (MI) and is used because a machine mimics the cognitive functions that humans associate with human ability, such as logical reasoning, learning, and problem-solving. From Facebook’s automatic tagging suggestions to driverless cars, AI is rapidly progressing, and therefore, the ethical and moral question now is not whether AI should exist or not. AI exists and is already helping in improving various aspects of life such as health, safety, convenience, and overall standard of living. AI can replace or substitute routine mechanical, repetitive, boring jobs to free and unleash human creative and innovative talent to big thinking projects and humanizing work and society. AI can provide digital assistance in routine day-to-day tasks, detect cancer, diagnose rare diseases, and even prevent car crashes. AI can replace jobs, however, but not human work. Work as a duty, self-actualization and destiny will always continue, if not on the shop or office floors or boardrooms, at home, gardens, places of prayer and worship, and labs of creativity and innovation, in society and civilizations. While AI may indirectly free human talent for more meaningful and creative work, it can rarely participate in higher purposes such as creating bonding and belonging groups, in creating forgiving and compassionate communities, in drumming up small business, startups and corporations, and in harmonizing and humanizing this planet and cosmos for bliss or happiness. This chapter on AI, while investigating its market turbulence, will go beyond the legal aspects to ethical, moral, and spiritual dimensions and sacred opportunities of AI.

The author argues that we must stop and take a look at what our insistence on human labour as the basis of our society is doing to us, and begin to search for possible alternatives. We need the vision and the courage to aim for the highest level of technology attainable for the widest possible use in both industry and services. We need financial arrangements that will encourage people to invent themselves out of work. Our goal, the article argues, must be the reduction of human labour to the greatest extent possible, to free people for more enjoyable, creative, human activities.

Using the backdrop of an (apparently) extended visit to the West Indies, analogies with key concerns of internal audit are drawn. An unusual and refreshing way of exploring the main themes ‐ a discussion between Bill and Jack on tour in the islands ‐ forms the debate. Explores the concepts of control, necessary procedures, fraud and corruption, supporting systems, creativity and chaos, and building a corporate control facility.

Using the backdrop of an (apparently) extended visit to the West Indies, analogies with key concerns of internal audit are drawn. An unusual and refreshing way of exploring the main themes ‐ a discussion between Bill and Jack on tour in the islands ‐ forms the debate. Explores the concepts of control, necessary procedures, fraud and corruption, supporting systems, creativity and chaos, and building a corporate control facility.

Industry 4.0 with artificial intelligence (AI), the Internet of Things, and automation are giving way to Industry 5.0 which places emphasis on workers' well-being, people, and society. The new era accentuates interaction between humans and smart machines to drive prosperity and induce sustainable contribution of industry to society. It must build a resilient economy to cope with future uncertainties or external shocks. Moreover, the sustainability effort of companies demanded by consumers, employees, shareholders, governments, and civil society requires sustainability transformation of business strategies. Applying sustainability principles in product design implies the consideration of a product's entire life cycle. Technologies accelerate sustainable production and support using natural resources efficiently taking into consideration planetary boundaries. This condition also makes for a novel perception of products, including financial products. Under the current circumstances of a volatile, uncertain, complex, and ambiguous environment, the focus on consumers and recognition of their dominance play a pivotal role in business models to maintain customer relationships. Thus, the digital, sustainable, human-centric industry is emerging. This chapter deals with digital products to enable twin transition and accomplish a sustainable business strategy simultaneously. It examines the reciprocal reinforcement of sustainability and digitalization and discusses the impact of digital sustainability on products. In this sense, this chapter also outlines the business contribution to sustainable development through digitalization. Finally, a holistic model for a hypothetical financial remittance product is offered to demonstrate how a digital product can contribute to sustainable development.

The advances and continuous development of technology have been identified as significant influences on the accounting profession (AICPA, 1998). In the last twenty years, both academia and the accounting profession have been giving much attention to the demand and opportunity for audits to be performed automatically, continuously and in nearly real time. This paper presents a comprehensive review of continuous auditing research by providing an overview of the emergence and growth of the continuous auditing literature and classifying the extant continuous auditing research on the basis of four research characteristics indicated by a newly developed research taxonomy.

The purpose of this paper is to explore the challenges of measuring fraud in overseas aid.

The research is based on 21 semi-structured interviews with key persons working in the delivery of aid in both the public and voluntary sectors. It uses the UK Department for International Development as a case study to applying more accurate measures of fraud.

This paper shows there are significant challenges to using fraud loss measurement to gauge fraud in overseas aid. However, it argues that, along with other types of measures, it could be used in areas of expenditure in overseas governments and charities to measure aid. Given the high risk of such aid to fraud, it argues helping to develop capacity to reduce aid, of which measuring the size of the problem is an important part; this could be considered as aid in its own right.

The researchers were not able to visit high-risk countries for fraud to examine in the local context views on the challenges of measuring fraud.

The paper offers insights on the challenges to accurately measuring fraud in an overseas context, which will be useful to policy-makers in this context.

Given the importance of as much aid as possible reaching recipients, it offers an important contribution to helping to reduce losses in this important area.

There has been very little consideration of how to measure fraud in the overseas aid context, with most effort aimed at corruption, which poses some of the same challenges, as well as some very different challenges.