Applied Scholarship

Recent Articles:

Abbasi, A., Li, J., Clifford, G., & Taylor, H. (2018). Make “Fairness by Design” Part of Machine Learning. Harvard Business Review.

Berente, N., & Howison, J. (2019). Strategies for success in virtual collaboration: structures and norms for meetings, workflow, and technological platforms. In Strategies for Team Science Success (pp. 563-574). Springer, Cham.

Werder, K., Seidel, S., Recker, J., Berente, N., Gibbs, J., Abboud, N., & Benzeghadi, Y. (2020). Data-Driven, Data-Informed, Data-Augmented: How Ubisoft’s Ghost Recon Wildlands Live Unit Uses Data for Continuous Product Innovation. California Management Review, 62(3), 86-102.

Martin, K. (2019). Designing Ethical Algorithms. MIS Quarterly Executive, 18(2).

Martin, K. & Parmar, B.L. (2021) “Designing Ethical Technology Requires Systems for Anticipation and Resilience,” Sloan Management Review, October 4, 2021.

Nwanganga, F. and Chawla, N. (2019) Using Structural Similarity to Predict Future Workload Behavior in the Cloud, IEEE CLOUD, 132-136

Post, C., Ketchen Jr, D. J., & Wowak, K. D. (2021). Should governments mandate more female board representation? Possible intended and unintended consequences. Business Horizons, 64(3), 379-384.

Recent Books:

Chapple. M. (2022). Certified Information Security Manager Study Guide.  John Wiley & Sons.

Chapple, M., & Nijim, S. (2022). CompTIA Data+ Study Guide.  John Wiley & Sons

Chapple, M., & Seidl, D. (2021). CompTIA Security+ Study Guide.  John Wiley & Sons.

Chapple, M., & Seidl, D. (2020). CompTIA CySA+ Practice Tests: Exam CS0-002. John Wiley & Sons.

Chapple, M., & Shelley, J. (2021). Certified Information Privacy Professional US (CIPP/US) Study Guide.  John Wiley & Sons.

Chapple, M., Stewart, J. M., & Gibson, D. (2021). (ISC) 2 CISSP Certified Information Systems Security Professional Official Study Guide. (9th Edition) John Wiley & Sons.

Chapple, M., & Seidl, D. (2018). CompTIA PenTest+ Study Guide: Exam PT0-001. John Wiley & Sons.

Nwanganga, F., & Chapple, M. (2020) Practical Machine Learning in R, John Wiley & Sons.