Ms Kanika Goel
This person does not currently hold a position at QUT.
Personal details
Keywords
Business Process Management, Process Analytics, Process Mining, Data Quality, Data Governance, Data-driven Decision Making, Data Analytics
Research field
Information Systems, Business and Management
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008
Qualifications
- PhD (Queensland University of Technology)
Professional memberships and associations
Women in IT
Women in STEMM
IEEE Task Force on Process Mining
Business Process Management Association
Fellow of Higher Education Academy
DAMA Australia
Teaching
Teaching Discipline: Information Systems Teaching Interests:
- Business process modelling
- Business process automation
- Workflow management
- Process mining
- Process monitoring and analysis
- Business process improvement
- Modern data management technologies
- NoSQL databases
- Streaming data algorithms and technologies
Teaching History:
Publications
- Goel, K., Bandara, W. & Gable, G. (2021). A Typology of Business Process Standardization Strategies. Business and Information Systems Engineering, 63(6), 621–635. https://eprints.qut.edu.au/208304
- Wynn, M., Martin, N., Fischer, D., Kerpedzhiev, G., Goel, K., Leemans, S., Röglinger, M., van der Aalst, W., Dumas, M. & La Rosa, M. (2021). Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study. Business and Information Systems Engineering, 63(5), 511–527. https://eprints.qut.edu.au/214249
- Goel, K. & ter Hofstede, A. (2021). Privacy-Breaching Patterns in NoSQL Databases. IEEE Access, 9, 35229–35239. https://eprints.qut.edu.au/208330
- Goel, K., Sindhgatta Rajan, R., Ilavarasan, V. & Kumar Kar, A. (2021). Building a Knowledge Society: Learnings from a Digital Literacy Program. Proceedings of the Twenty-Ninth European Conference on Information Systems (ECIS 2021). https://eprints.qut.edu.au/239896
- Goel, K., Emamjome, F. & ter Hofstede, A. (2021). Data Governance for Managing Data Quality in Process Mining. Proceedings of the 42nd International Conference on Information Systems (ICIS 2021). https://eprints.qut.edu.au/226279
- Fischer, D., Goel, K., Andrews, R., van Dun, C., Wynn, M. & Roglinger, M. (2020). Enhancing event log quality: Detecting and quantifying timestamp imperfections. Business Process Management: 18th International Conference, BPM 2020 Proceedings, 309–326. https://eprints.qut.edu.au/239893
- Wurm, B., Goel, K., Bandara, W. & Rosemann, M. (2019). Design patterns for business process individualization. Business Process Management: 17th International Conference, BPM 2019, Proceedings (Lecture Notes in Computer Science, Volume 11675), 370–385. https://eprints.qut.edu.au/130599
- Gibson, J., Goel, K., Barnes, J. & Bandara, W. (2019). Towards a process reference model for research management: An action design research effort at an Australian university. Business Process Management: 17th International Conference, BPM 2019, Proceedings (Lecture Notes in Computer Science, Volume 11675), 338–353. https://eprints.qut.edu.au/130629
QUT ePrints
For more publications by Kanika, explore their research in QUT ePrints (our digital repository).
Awards
- Type
- Other
- Reference year
- 2020
- Details
- Vice-Chancellor's Award for Excellence - 2019 (in a group)Category: Innovation and creative practice excellenceThe award was granted for the impactful and innovative partnership between Research Management Systems Upgrade and Business Process Management that supported high quality research for implementing systems for researchers and research administration.