Big Data / Data Analytics - Research
Thought Leadership, Funding Specific Research Projects
Anomalies
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Activities during current fiscal period (cumulative): Addressing Anomalies in Audit Data Analytics
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Research team is Efrim Boritz, Greg Shields and Adam Vitalis.
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Objective: To investigate how auditors assess which anomalies to investigate in an audit data analytics context.
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Design of research instrument is in progress. We are planning to run the data with MAcc students in February 2023.
Information Integrity
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Activities during current fiscal period (cumulative): Information Integrity Control Guidelines.
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Project team is Efrim Boritz and Malik Datardina, Auvenir.
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The objectives are to: 1) define information integrity and to identify information integrity risks and controls for mitigating those risks; 2) define assurance practices for information integrity services; 3) interview or survey audit team members about their views on information integrity risks, controls and assurance practices.
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The Framework for Information Integrity Controls was published by CPA Canada in April 2019. In addition, Efrim Boritz assisted the AICPA to develop a guideline on data integrity assurance.
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Links:
Emerging Technology Adoption
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Activities during current fiscal period (cumulative): A Framework for Predicting Emerging Technology Adoption Research team: Theo Stratopoulos and Victor Wang.
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The objective of this study is to develop a framework for predicting technology diffusion and expected duration of competitive advantage for the average adopting firm.
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Accepted at the International Journal of Accounting Information Systems.
Robotic Process Automation (RPA)
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Activities during current fiscal period (cumulative): “JIS Workshop on Robotic Process Automation (RPA) Research: Views from RPA Industry Leaders and Researchers.”
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Research Team: Efrim Boritz and Theophanis C. Stratopoulos.
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Journal of Information Systems Forthcoming, no. Spring (2022).
IT BUDGETS 1
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Activities during current fiscal period (cumulative): Does Industry Classification Matter: Evidence from IT Budgets
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Research team: Duane Kennedy, Byron Song, and Theo Stratopoulos
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The objective is to discover if the industry classification and/or the level of aggregation within a selected classification matter. Empirical studies tend to control for industry structure using proxies from one of the common industry classifications (e.g., SIC, Fama-French, NAICS) and select a level of aggregation within this classification (e.g., SIC2 or SIC3). Given these choices are not justified, one could assume that they do not seem to matter.
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The paper was presented at the CAAA Annual Meeting in June 2020.
SOCIAL MEDIA 1
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Activities during current fiscal period (cumulative): Content Commercialization on Social Media Platforms: Exploring the Viewership of Paid Q&A.
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Research Team: Jonathan Hua Ye (SAF), Xueping Yang (Auckland University), Xinwei Wang (Auckland), and Theo Stratopoulos.
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The objective of this study is to enlighten content providers and platform organizations on how to facilitate individual users to commercialize content for profits.
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This paper was presented at the AAA AIS Midyear Meeting in San Antonio, TX, January 2019.
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The paper was published in the Journal of Management Information Systems.
Big Data / Data Analytics – Education and Knowledge Transfer
Disseminating Best Practices, Sharing Material (Workshops / Conferences)
Developing Courses, Workshops, Cases and Other Teaching Material
Data Analytics and Visualization – Business Analytics Stream
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Activities during current fiscal period (cumulative): Under Theo Stratopoulos’ leadership UWCISA sponsored the development and implementation of a Business Analytics stream within the accounting program at the University of Waterloo. For information about this stream please visit the links below.
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Links:
Data Analytics and Visualization – Data Analytics Process for Accounting Students
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Activities during current fiscal period (cumulative): Theo Stratopoulos and Dan Rogozynski have prepared “An Introduction to the Standard Data Analytics Process for Accounting Students” The paper leverages a tax case to teach accounting students the standard data analytics process. The paper is being prepared for re-submission to the Journal of Emerging Technologies in Accounting
ISACA Toronto Chapter Data Analytics Competition
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Activities during current fiscal period (cumulative): Business Dashboard Competition. The award is sponsored by ISACA's Toronto Chapter. We ran the competition as described at the link below. This initiative is being led by Theo Stratopoulos.
UWCISA Predictive Analytics Competition
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Activities during current fiscal period (cumulative): Predictive Analytics Competition
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A new competition among second year SAF students with focus on predictive analytics. This initiative is being led by Theo Stratopoulos.
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Out of over 400 students (organized in over 80 teams) from the School of Accounting and Finance (SAF), 25 second year students, organized into 7 teams, were individually selected to compete in the first UWCISA predictive analytics competition. Each team developed predictive models to help a liquor retailer that operates almost 80 stores across USA, determine whether it should pursue a pricing promotion. Each team leveraged years of data ranging from purchases and sales to weather information, using analytics techniques such as regression modelling and time-series forecasting.
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The top teams presented their analysis, and their recommendation, to a panel of distinguished judges. The panel consisted of Derek Bodkin, VP Insurance New Business at Canada Life, M. Jameel Hussain, Chief Financial Officer at Marina Homes Inc. Judy M Pin, Business Analysis Consultant, and Neil Shay, CEO (Chief Executive Officer) & General Manager of Caradoc Townsend Mutual Insurance Company.
CPAO – Online Data Analytics Workshop
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Activities during current fiscal period (cumulative): Online Data Analytics Workshop
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2-hour hands-on introduction to analytics open to all students registered with CPA Ontario
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Presented by Louise Hayes January 27, 2022
CPAO – “Using Data Analytics Within the Organization: A 'Low-Hanging Fruit' Approach”
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Activities during current fiscal period (cumulative): “Using Data Analytics Within the Organization: A 'Low-Hanging Fruit' Approach”
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Digital Financial Information.
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Presented by Theo Stratopoulos on March 11, 2022, at the Schulich Centre
Artificial Intelligence / Machine Learning
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Activities during current fiscal period (cumulative): A workshop was held in December of 2022 in conjunction with JIS on artificial intelligence and machine learning