Case Article—Business Value in Integrating Predictive and Prescriptive Analytics Models

Kopcso, David P.; Pachamanova, Dessislava A.

doi:10.1287/ited.2017.0186ca

Cited by 3 publications

(3 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These themes can be covered individually or jointly, at different levels of detail, with the setup of the case allowing for incorporating both fundamental and advanced concepts. There are some cases in the analytics education literature that target particular aspects of (1) (Pachamanova 2015, Dobson and Tilson 2016, Kopcso and Pachamanova 2018, Barnes and Bjarnadóttir 2019, and some cases that focus on (2) in a prescriptive analytics setting (Drake et al 2011). However, we are not aware of cases that combine all three themes in the context of applying ethical predictive and prescriptive analytics in healthcare.…”

Section: Main Themes Of the Casementioning

confidence: 98%

Case Article—Machine Learning, Ethics, and Change Management: A Data-Driven Approach to Improving Hospital Observation Unit Operations

Pachamanova

Tilson

Dwyer-Matzky

2022

INFORMS Transactions on Education

Self Cite

View full text Add to dashboard Cite

This case discusses a process improvement project aimed at maximizing the use of hospital capacity as the flu season looms. Dr. Erin Kelly heads the observation unit and turns to predictive models to improve the assignment of patients to her unit. The case covers three major themes: (1) data analytics life cycle and interface of predictive and prescriptive analytics in the context of process improvement, (2) design and ethical application of machine learning models, and (3) effecting organizational change to operationalize the findings of the analysis. Realistic data, R code, and Excel models are provided. The rich context of the case allows for discussing change management in a healthcare organization, analytics problem framing and model mapping, service process capacity analysis and Little’s law, data summaries and visualizations, interpretable machine learning algorithms, evaluations of predictive model performance, algorithmic bias, and dealing with dirty data. The case is appropriate for use in courses in machine learning, business analytics, operations management, and operations research, both at the advanced undergraduate level and at the master’s/MBA level.

show abstract

Section: Main Themes Of the Casementioning

confidence: 98%

Case Article—Machine Learning, Ethics, and Change Management: A Data-Driven Approach to Improving Hospital Observation Unit Operations

Pachamanova

Tilson

Dwyer-Matzky

2022

INFORMS Transactions on Education

Self Cite

View full text Add to dashboard Cite

show abstract

“…They should be well versed in using both quantitative and qualitative techniques for report writing and presentation. This implies that the student should be expected to apply SPSS, R, or SEM techniques (quantitative) and Atlas or QSR NVivo (qualitative) as the software environment for both modeling and grounded theory development (Kopcso & Pachamanova, 2018). In this manner, discussion could be framed in business communication classrooms to learn the valuable skills of critical thinking and report writing.…”

Section: Importance In the Teaching Of Business Communicationmentioning

confidence: 99%

Feature on Teaching and Technology: Teaching MBA Students Business Report Writing Using Social Media Technologies

Mehra

2023

Business and Professional Communication Quarterly

View full text Add to dashboard Cite

Data-driven decision making has now moved beyond its traditional domains—operations research, business economics, computer sciences, and business statistics—to “softer subjects,” such as human resource management, organization behavior, and business communication. In this context, teaching with technology encourages students to systematically apply domain knowledge to communicate across a wide variety of stakeholders. In the era of multimodal forms of communication and multiple data sources, management students must be analytical when writing compelling reports and giving persuasive presentations. They should be well versed in using both quantitative and qualitative techniques for report writing and presentation. Drawing on authentic user-generated comments on social media, this article presents two case studies on (a) crisis communication by 30 CEOs and (b) culture shock experienced by foreign tourists sojourning in India, China, and the United Arab Emirates, to demonstrate how master’s in business administration (MBA) students could derive insights from the online comments to make strategic decisions for organizational benefit and make reports based on those findings. The article asserts that this could help to cultivate a data-analytic mindset among the students by preparing them to communicate small (and big) data-driven analysis to relevant stakeholders. It attempts to suggest ways to develop MBA students’ ability to analyze their potential audiences as well as to generate meaningful insights from the available information on social media websites. Finally, it hopes to nudge business communication instructors to embrace multidisciplinary perspectives for planning a technology-based business communication assignment involving the social media landscape. Instructors can not only use the two case studies to illustrate ways to integrate technology with teaching but also create their own mini cases to improve the decision-making, report-writing, and business report presentation skills of their students.

show abstract

“…Proano (2016) presents a case on a pandemic on a college campus and, among other inquiries, has students examine the number of doctors and nurses needed at the campus health center. Kopcso and Pachamanova (2018) examine analytics to improve staffing inefficiencies in handling appointments for an investing company.…”

Section: Introduction and Case Backgroundmentioning

confidence: 99%

Case Article—Workforce Scheduling for Airport Immigration on the Island of Tropical Paradise

Sharkey

Bublak

Disselkamp

et al. 2020

INFORMS Transactions on Education

View full text Add to dashboard Cite

This case study focuses on modeling and analyzing the practices concerning the staffing of the immigration agency at the Island of Tropical Paradise International Airport, which is responsible for processing arriving passengers into the country. Students are challenged to model the status quo of immigration employee scheduling and analyze various high-level policy changes to determine the reduction in staffing requirements while also being concerned with the wait time of passengers in the queue at immigration. The case has been used in an introductory operations research (OR) course in an engineering curriculum as a term project and was created based on a client of a major consulting organization. The main teaching objective of the case is to have students demonstrate an understanding of how to use OR models and analysis to impact practice. To this end, the case moves the students from standard classroom or textbook examples to an open-ended problem where there is not a single correct model or analysis to tackle it.

show abstract

Case Article—Business Value in Integrating Predictive and Prescriptive Analytics Models

Cited by 3 publications

References 15 publications

Case Article—Machine Learning, Ethics, and Change Management: A Data-Driven Approach to Improving Hospital Observation Unit Operations

Case Article—Machine Learning, Ethics, and Change Management: A Data-Driven Approach to Improving Hospital Observation Unit Operations

Feature on Teaching and Technology: Teaching MBA Students Business Report Writing Using Social Media Technologies

Case Article—Workforce Scheduling for Airport Immigration on the Island of Tropical Paradise

Contact Info

Product

Resources

About