Recent developments in technology have introduced dramatic changes to the practice of the accounting profession. This paper provides a comprehensive review of current developments in big data, machine learning, artificial intelligence, and blockchain utilized in general business practice and by specialized practitioners in the accounting profession worldwide. This paper explores the evolution of the accounting profession following these recent technological developments and assesses the impact of future developments. Inherent challenges and opportunities posed by these new technologies pertaining to accounting professionals and accounting educators are also examined, including an increased demand for IT professionals with accounting experience as opposed to accounting major graduates. Considering the dramatic changes and developments of AI applications in accounting, this paper reflects how all these technologies and the associated requirements of job candidates will affect the desired capabilities of accounting graduates and provides further discussion regarding what higher institutions and their accounting graduates can do to adopt such changes.

/pdf/the-impact-of-artificial-intelligence-and-blockchain-on-the-4dex4a5qno.pdf

The Impact of Artificial Intelligence and Blockchain on the Accounting Profession

ABSTRACT New technologies in accounting are widely regarded as crucial to building organisational success. They have, and continue, to impact on the requisite skills for graduate and early career accounting professionals. This research focuses on how well universities, employing organisations, and professional associations are preparing early career accountants for new technology, and the future pathways to build technology-related skills. Drawing on a mixed-method study of 315 early career accountants and 175 managers/recruiters in Australia, we find different perceptions exist between these two groups. Early career accountants were generally more positive in their assessment of how well organisations’ training systems prepared them for new technology while managers/recruiters expressed greater confidence in universities’ ability to develop accountants to meet emergent skill demands. We argue there is an important, complementary, and yet slightly different role played by stakeholders (universities/employing organisations/professional associations) in building technology-related skills to help collectively nurture early career accountant talent.

Developing accountants for the future: new technology, skills, and the role of stakeholders

The wide adoption of smart machine maintenance in manufacturing is blocked by open challenges in the Industrial Internet of Things (IIoT) with regard to robustness, scalability and security. Solving these challenges is of uttermost importance to mission-critical industrial operations. Furthermore, effective application of predictive maintenance requires well-trained machine learning algorithms which on their turn require high volumes of reliable data. This paper addresses both challenges and presents the Smart Maintenance Living Lab, an open test and research platform that consists of a fleet of drivetrain systems for accelerated lifetime tests of rolling-element bearings, a scalable IoT middleware cloud platform for reliable data ingestion and persistence, and a dynamic dashboard application for fleet monitoring and visualization. Each individual component within the presented system is discussed and validated, demonstrating the feasibility of IIoT applications for smart machine maintenance. The resulting platform provides benchmark data for the improvement of machine learning algorithms, gives insights into the design, implementation and validation of a complete architecture for IIoT applications with specific requirements concerning robustness, scalability and security and therefore reduces the reticence in the industry to widely adopt these technologies.

https://biblio.ugent.be/publication/8673085/file/8673086.pdf

Scalable Fleet Monitoring and Visualization for Smart Machine Maintenance and Industrial IoT Applications

\n It is essential for academics to integrate current and emerging technologies into accounting curriculums in order to provide students with the appropriate knowledge and skill sets necessary to succeed in the accounting profession. This paper presents a case study that documents our experiences relating to the integration of current and emerging technologies into the existing undergraduate accounting curriculum. Details of the curriculum changes made in order to meet the challenges brought about by new technologies are provided. This paper also includes examples of classroom resources that are available for academics to integrate technologies into the curriculum. A brief glossary of current and emerging technologies is also provided.

Integrating Emerging Accounting Digital Technologies and Analytics into an Undergraduate Accounting Curriculum—A Case Study

The technology and Data Analytics developments affecting the accounting profession in turn have a profound effect on accounting curriculum. Accounting programs need fully-integrated accounting curriculum to develop students with strong analytic and critical thinking skills that complement their accounting knowledge. This will meet the profession's expectation that accounting students have expert level skills in both technical accounting knowledge and Data Analytics. This paper provides a framework and the resources for creating a Data Analytics-infused accounting curriculum. Specifically, using the Diffusion of Innovation Theory, we apply the theory's five stages to the infusion of Data Analytics into the accounting curriculum: Knowledge, Persuasion, Decision, Implementation, and Confirmation. We formulate an Analytics Value Cube to guide the use of different analytic techniques as accounting programs integrate. We recommend free tools, questions, and cases for use across the curriculum. While our focus is on accounting programs new to Data Analytics, these resources are also useful to accounting programs and practitioners that wish to expand their data analytic offerings.

A Framework and Resources to Create a Data Analytics-Infused Accounting Curriculum

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