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There is an increasing recognition in the public audit profession that the emergence of big data as well as the growing use of business analytics by audit clients has brought new opportunities and challenges. That is, should more complex business analytics beyond the customary analytical procedures be used in the engagement and if so, where? Which techniques appear to be most promising? This paper starts the process of addressing these questions by examining extant external audit research. 301 papers are identified that discuss some use of analytical procedures in the public audit engagement. These papers are then categorized by technique, engagement phase, and other attributes to facilitate understanding. This analysis of the literature is categorized into an External Audit Analytics (EAA) framework, the objective of which is to identify gaps, to provide motivation for new research, and to classify and outline the main topics addressed in this literature. Specifically, this synthesis organizes audit research, thereby offering guidelines regarding possible future research about approaches for more complex and data driven analytics in the engagement.

This paper aims to understand, examine and interpret the main concerns and emotions of the people regarding COVID-19 pandemic in the UK, the USA and India using Data Science measures.

This study implements unsupervised and supervised machine learning methods, i.e. topic modeling and sentiment analysis on Twitter data for extracting the topics of discussion and calculating public sentiment.

Governments and policymakers remained the focus of public discussion on Twitter during the first three months of the pandemic. Overall, public sentiment toward the pandemic remained neutral except for the USA.

This paper proposes a Data Science-based approach to better understand the public topics of concern during the COVID-19 pandemic.

The purpose of this project is to undertake continuous auditing and monitoring (CA/CM) implementations working with small-to-medium-sized (SME) not-for-profit (NFP) organizations of varying sizes, business purposes and levels of technical sophistication.

This paper discusses a project using a case study approach with an SME NFP entity.

The findings support the discussions in the literature regarding CA/CM adoption in organizations, particularly regarding its implementation benefits and challenges.

The project is not complete in that additional case studies could possibly offer additional applicability to the findings.

This case study illustrates the issues inherent with the process of adopting new technologies. It provides insights for others considering adoption of CA/CM tools or protocols.

The need for more reliable auditing has never been more urgent than it is today in the NFP environment, and this case study demonstrates how an NFP could address these critical needs of increased reporting accountability and internal controls.

The application of CA/CM is quite interesting and relevant in this modern real-time economy. This case study provides a new area of research in the field of CA/CM and, as such, contributes to the literature.

Blockchain is an emerging technology that started in the cryptocurrency sphere with bitcoin but expanded to include numerous applications. This chapter provides an overview of the book. It begins by identifying the three main components of a blockchain. Next, it discusses the book's purpose, distinguishing features, and its intended audience. The chapter then outlines the book's structure, consisting of 22 chapters divided into four main parts. It offers a brief synopsis of each section and chapter. Finally, it ends with a summary and conclusions.

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 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 examine the influence of the emotional intelligence (EI) of the person in charge of making human resource management (HRM) decisions on the adoption of high-performance human resource (HR) practices in small- and medium-sized enterprises (SMEs).

This study takes evidences from 157 HR decision makers in SMEs who autonomously make the decisions in the HR area and were responsible for the HR practices in their firm. The authors used multiple linear regression analysis to test the hypotheses.

Results show that both the EI and the different EI competencies of which it is comprised affect the adoption of various HR practices. Thus, the main theoretical contribution of this work stems from the incorporation of a psychological variable (EI) as an antecedent of HRM. Managers of the SME will find guidance about which emotional competencies are the most important for them to be more successful in their roles and for improving HRM.

First, the sample of firms the authors studied is limited to a specific geographic area in one country – Spain (Canary Islands) – that will necessarily limit generalisation of the results obtained to other populations of SMEs. Researchers should replicate the current model in other geographic areas. Second, and with regard the methodology, researchers could explore other tools to measure EI and emotional competencies. It would be interesting to measure this construct using qualitative analytical techniques, with 360 – or 180 – degree tools. Finally, the current study is cross-sectional in nature, which limits our ability to draw causal inferences from the data. This cross-sectional design prevents us, for example, from analysing EI’s influence on the continued development of high-performance HR practices over time. Future research using longitudinal methodologies to study these variables could provide additional advances in this area. This work makes important contributions to both the literature and the business world. With regard to the theoretical implications, results confirm that EI as a whole, as well as in terms of its specific emotional competencies, affects the decision making related to the adoption of high-performance HR practices, which is known to contribute to the organisational performance.

With regard its practical implications, SMEs’ owners-managers and HR practitioners may find our results and conclusions interesting. Indeed, recommendations in business management have often been accompanied by new approaches in HRM (Kent, 2005), as this study proposes. In particular, managers will find evidence of how a decision-maker’s higher EI propitiates the adoption of high-performance HR practices, thus being able to improve HRM in their SMEs. Moreover, managers will obtain guidance on which emotional competencies are the most important for adopting each HR practice, and so find greater success in their HRM roles. SMEs could organise programmes to develop the HR decision-maker’s emotional competencies, as large firms do for their executives.

Thus, the main theoretical contribution of this work stems from the incorporation of a psychological variable (EI) as an antecedent of HRM. Managers of the SME will find guidance about which emotional competencies are the most important for them to be more successful in their roles and for improving HRM.

This paper aims to examine the influence of the emotional intelligence (EI) of the human resources (HR) decision-maker on firm performance in small and medium-sized enterprises (SMEs), as well as the possible mediating role of the use of a system of HR practices in that relationship.

The research involves a sample of 157 managers responsible for HR in SMEs. SMEs are examined because in these firms, decisions are not usually adopted on a collegiate basis. It makes these firms an ideal context for studying the relationship between HR decision-maker’s EI and firm performance.

Results show that the HR decision-maker’s EI determines firm performance in terms of generation of valuable HR and financial outcomes. They also confirm the mediating role of the system of HR practices in that relationship.

This research suggests that an adequate understanding of the importance of EI can guide efforts to boost SMEs competitiveness. Thus, as SMEs are an important part of the business fabric in the majority of developed economies, the implications of this study are significant.

Findings in this research suggest that the workplace is not managed exclusively on a cognitive basis since emotional competences may play an important role in the HR management and SMEs’ performance.