Empirical Research Frameworks in a Changing World: The Case of Audit Data Analytics

2021 ◽  
Author(s):  
Klaus Ruhnke
Keyword(s):  
Empirical Research ◽  
Data Analytics ◽  
Audit Data ◽  
Research Frameworks ◽  
Changing World

The Effects of the Internal Control Opinion and Use of Audit Data Analytics on Perceptions of Audit Quality, Assurance, and Auditor Negligence

2021 ◽  
Author(s):  
Dereck Barr-Pulliam ◽  
Helen L Brown-Liburd ◽  
Kerri-Ann Sanderson
Keyword(s):  
Quality Assurance ◽  
Internal Control ◽  
Data Analytics ◽  
Audit Quality ◽  
Financial Statements ◽  
Entire Population ◽  
Statistical Sampling ◽  
Testing Methods ◽  
Audit Failure ◽  
Audit Data

Audit data analytics (ADAs) allow auditors to analyze the entire population of transactions which has measurable benefits for audit quality. However, auditors caution that the level of assurance on the financial statements is not incrementally increased. We examine whether the testing methodology and the type of ICFR opinion issued affect jurors' perceptions of auditor negligence. We predict and find that when auditors issue an unqualified ICFR opinion, jurors make higher negligence assessments when auditors employ statistical sampling than when they employ ADAs. Further, when auditors issue an adverse ICFR opinion, jurors attribute less blame to auditors and more blame to the investor for an audit failure. Additionally, jurors perceive the use of ADAs as an indicator of higher audit quality and are less likely to find auditors negligent. However, jurors do not perceive a difference in the level of assurance provided when auditors use ADAs versus sampling testing methods.

scholarly journals Big Data, Big Data Analytics Capability, and Sustainable Innovation Performance

2019 ◽  
Vol 11 (24) ◽  
pp. 7145 ◽  
Author(s):  
Shengbin Hao ◽  
Haili Zhang ◽  
Michael Song
Keyword(s):  
Big Data ◽  
Empirical Research ◽  
Data Analytics ◽  
Big Data Analytics ◽  
The United States ◽  
Innovation Performance ◽  
Sales Growth ◽  
Gross Margin ◽  
Innovation Projects ◽  
Analytics Capability

Literature suggests that big data is a new competitive advantage and that it enhance organizational performance. Yet, previous empirical research has provided conflicting results. Building on the resource-based view and the organizational inertia theory, we develop a model to investigate how big data and big data analytics capability affect innovation success. We show that there is a trade-off between big data and big data analytics capability and that optimal balance of big data depends upon levels of big data analytics capability. We conduct a four-year empirical research project to secure empirical data on 1109 data-driven innovation projects from the United States and China. This research is the first time reporting the empirical results. The study findings reveal several surprising results that challenge traditional views of the importance of big data in innovation. For U.S. innovation projects, big data has an inverted U-shaped relationship with sales growth. Big data analytics capability exerts a positive moderating effect, that is, the stronger this capability is, the greater the impact of big data on sales growth and gross margin. For Chinese innovation projects, when big data resource is low, promoting big data analytics capability increases sales growth and gross margin up to a certain point; developing big data analytics capability beyond that point may actually inhibit innovation performance. Our findings provide guidance to firms on making strategic decisions regarding resource allocations for big data and big data analytics capability.

scholarly journals Big Data Analytics and Firm Performance: A Systematic Review

Information ◽  
2019 ◽  
Vol 10 (7) ◽  
pp. 226 ◽  
Author(s):  
Parisa Maroufkhani ◽  
Ralf Wagner ◽  
Wan Khairuzzaman Wan Ismail ◽  
Mas Bambang Baroto ◽  
Mohammad Nourani
Keyword(s):  
Systematic Review ◽  
Big Data ◽  
Firm Performance ◽  
Empirical Research ◽  
Data Analytics ◽  
Web Of Science ◽  
Big Data Analytics ◽  
Future Research ◽  
Science Index ◽  
The Web

The literature on big data analytics and firm performance is still fragmented and lacking in attempts to integrate the current studies’ results. This study aims to provide a systematic review of contributions related to big data analytics and firm performance. The authors assess papers listed in the Web of Science index. This study identifies the factors that may influence the adoption of big data analytics in various parts of an organization and categorizes the diverse types of performance that big data analytics can address. Directions for future research are developed from the results. This systematic review proposes to create avenues for both conceptual and empirical research streams by emphasizing the importance of big data analytics in improving firm performance. In addition, this review offers both scholars and practitioners an increased understanding of the link between big data analytics and firm performance.

An Exploratory Study into the Use of Audit Data Analytics on Audit Engagements

2019 ◽  
Author(s):  
Aasmund Eilifsen ◽  
Finn Kinserdal ◽  
William F. Messier Jr ◽  
Thomas McKee
Keyword(s):  
Exploratory Study ◽  
Data Analytics ◽  
Audit Data

An Exploratory Study into the Use of Audit Data Analytics on Audit Engagements

2020 ◽  
Vol 34 (4) ◽  
pp. 75-103 ◽  
Author(s):  
Aasmund Eilifsen ◽  
Finn Kinserdal ◽  
William F. Messier ◽  
Thomas E. McKee
Keyword(s):  
Institutional Theory ◽  
Professional Practice ◽  
Exploratory Study ◽  
Data Analytics ◽  
Data Availability ◽  
Public Accounting ◽  
Accounting Firms ◽  
It Systems ◽  
Audit Data ◽  
Public Accounting Firms

SYNOPSIS This study explores the use of audit data analytics (ADA) in current audit practice. First, we interviewed the heads of professional practice of five international public accounting firms in Norway. We find that they differ in strategies on how to implement ADA and the heads report significant uncertainty about the supervisory inspection authorities' response to the use of ADA. Second, we administered a questionnaire to 216 engagement partners and managers about their perceptions of ADA and their actual ADA use on 109 audit engagements. Overall, the attitudes toward ADA usefulness are positive. Analysis of the audit engagements suggests use of ADA is relatively limited and use of more “advanced” ADA is rare. More ADA are used for clients with integrated ERP/IT systems and for newly tendered audit engagements. We also provide details of ADA use on each phase of the audit. We discuss our findings from an institutional theory perspective. Data Availability: The data used in this study are confidential by agreement with the participants.

scholarly journals Surveillance Capitalism and Platform Policing: The Surveillant Assemblage-as-a-Service

2019 ◽  
Vol 17 (1/2) ◽  
pp. 76-82 ◽  
Author(s):  
Thomas Linder
Keyword(s):  
Law Enforcement ◽  
Empirical Research ◽  
Business Model ◽  
Association Analysis ◽  
Data Analytics ◽  
Surveillance Data ◽  
Boundary Crossing ◽  
Promotional Material ◽  
Private Corporations ◽  
Mass Surveillance

Based on empirical research on training webinars, interviews, and promotional material from Vigilant Solutions, this paper investigates the surveillance regime enabled by platform policing: the implementation of cloud-based platforms, designed and run by private corporations, that provide mass surveillance-driven simulations for a range of police operations, including predictive policing, targeted surveillance, and tactical and strategic governance. Building on Amoore’s (2016) work on “cloud geographies,” this paper argues that the platform model embodied by Vigilant Solutions involves multivalent processes of de- and reterritorialization in which new technological and datalogical spaces are formed and these erode older societal boundaries of private, public, and state. Specifically, Vigilant Solutions leverages its multi-sided platform business model through the deterritorializing, cloud-based concatenations of surveillant technologies. It then argues that the resultant reterritorialized cloud space, which is accessible through its Vigilant Investigative Centre (VIC) platform, fuses mass surveillance data from diverse private, public, and state sources in a simulated geography. Further, the VIC furnishes to law enforcement an array of data analytics that exploits this cloud geography to enable a boundary-crossing surveillance regime of association analysis and proximal suspicion.

scholarly journals Big playerbase, big data: On data analytics methodologies and their applicability to studying multiplayer games and culture

First Monday ◽  
2016 ◽  
Author(s):  
Ben Egliston
Keyword(s):  
Big Data ◽  
Empirical Research ◽  
Data Analytics ◽  
Empirical Work ◽  
Multiplayer Games ◽  
Empirical Inquiry ◽  
Game Environments

Rapport with big data is something of a methodological rarity in empirical work on videogames, particularly within humanities oriented literature; an unusual omission considering the scope of many multiplayer game environments. Addressing this, the present work ventures the question ‘how can research into multiplayer videogames benefit from the use of big data’? I offer a response through a case study of Valve Software’s multiplayer game Dota 2, presenting a number of approaches which draw on player data analytics. In addition to mapping out frameworks for empirical research, I explore the theoretical dimensions of porting analytics based approaches to studies of multiplayer videogames, charting perceived incompatibilities between analytics approaches and popular ontologies of play, and how the prevalence of relational ontologies of play privilege particular modes of empirical inquiry.

scholarly journals Managing barriers for the Big Data Analytics implementation through collaboration: an empirical research

2021 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Roberto Goularth Mendes ◽  
Tiago Pedro Nicchellatti ◽  
Juliano Danilo Spuldaro ◽  
Alexandre Luis Prim
Keyword(s):  
Big Data ◽  
Empirical Research ◽  
Data Analytics ◽  
Big Data Analytics

A Picture is Worth a Thousand Words: Using Interactive Data Visualization to Assess Fraud Risk

2021 ◽  
Author(s):  
Johan L Perols ◽  
Ann C Dzuranin
Keyword(s):  
Data Visualization ◽  
Data Analytics ◽  
Data File ◽  
Initial Evaluation ◽  
Accounting Firms ◽  
Fraud Risk ◽  
Audit Data ◽  
Interactive Data ◽  
Financial Transactions

Accounting firms are making significant investments in audit data analytics technologies to modernize their audit services and the audit profession is believed to now be on the verge of a transformation (BDO 2016; Deloitte 2016; EY 2015; Forbes Insights 2015; PwC 2015). In particular, the firms are emphasizing newer technologies such as interactive data visualization (BDO 2016; Deloitte 2016; PwC 2016) and they are increasingly expecting students to have data analytics skills (Forbes Insights 2015; PwC 2015). In this case you take on the role of Bryan, an audit senior assigned to Acme. Brian has been tasked with using interactive data visualization to gain an understanding of Acme’s sales and perform an initial evaluation of two fraud risks identified during a fraud brainstorming session.  Brian has been given a data file with over 250,000 financial transactions and five master tables that he is supposed to analyze using interactive data visualization.

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