X: The Foghorn Decision

Robert S. Huckman; Karim R. Lakhani; Kyle R. Myers

Case | HBS Case Collection | March 2018

X: The Foghorn Decision

by Robert S. Huckman, Karim R. Lakhani and Kyle R. Myers

Abstract

In February 2016, Kathy Hannun--a project leader at X, Alphabet Inc.'s so-called "moonshot factory--had to prepare a recommendation for the senior leadership of X regarding the future of Foghorn, a project she was leading to develop a carbon-neutral process for converting sea water into fuel. Recognizing the blueprint for projects at X--(1) addressing a huge problem with a (2) radical solution using (3) breakthrough technology--Hannun had to decide whether to recommend killing the project. Despite the technical feasibility of the Foghorn process, its expected cost per gallon of fuel produced was signficiantly higher than the established "kill metric"--the maximum unit cost that Hannun and colleagues had set for continuing the project. The case provides an opportunity to examine the management of radical innovation and the challenges associated with assessing early stage ideas. Topics covered include the importance of experimentation and failure as well as the management of opportunity costs in solving large problems.

Keywords: innovation; R＆D Project Management; radical innovation; Clean Technology; energy; Innovation and Management; Technological Innovation; Research and Development; Projects; Management; Decision Choices and Conditions; Technology Industry; Energy Industry; Green Technology Industry; California;

Language: English

Format: Print

22 pages

Educators Purchase

Citation:

Huckman, Robert S., Karim R. Lakhani, and Kyle R. Myers. "X: The Foghorn Decision." Harvard Business School Case 618-060, March 2018.

Article | Management Science | September 2018

Discretionary Task Ordering: Queue Management in Radiological Services

Maria Ibanez, Jonathan R. Clark, Robert S. Huckman and Bradley R. Staats

Work-scheduling research typically prescribes task sequences implemented by managers. Yet employees often have discretion to deviate from their prescribed sequence. Using data from 2.4 million radiological diagnoses, we find that doctors prioritize similar tasks (batching) and those tasks they expect to complete faster (shortest expected processing time). Moreover, they exercise more discretion as they accumulate experience. Exploiting random assignment of tasks to doctors’ queues, instrumental variable models reveal that these deviations erode productivity. This productivity decline lessens as doctors learn from experience. Prioritizing the shortest tasks is particularly detrimental to productivity. Actively grouping similar tasks also reduces productivity, in stark contrast to productivity gains from exogenous grouping, indicating deviation costs outweigh benefits from repetition. By analyzing task completion times, our work highlights the tradeoffs between the time required to exercise discretion and the potential gains from doing so, which has implications for how discretion over scheduling should be delegated.

Keywords: discretion; scheduling; queue; healthcare; learning; experience; Decentralization; operations; service operations; service delivery; Performance; Performance Effectiveness; Performance Efficiency; Performance improvement; Performance Productivity; Decisions; time management; Cost vs Benefits; Health Industry; Operations; Service Operations; Service Delivery; Performance; Performance Effectiveness; Performance Efficiency; Performance Improvement; Performance Productivity; Decisions; Time Management; Cost vs Benefits; Health Industry;

Citation:

Ibanez, Maria, Jonathan R. Clark, Robert S. Huckman, and Bradley R. Staats. "Discretionary Task Ordering: Queue Management in Radiological Services." Management Science 64, no. 9 (September 2018): 4389–4407. (Working paper available here. Winner of the 2017 Best Paper Competition of the POMS College of Healthcare Operations Management. Featured in Forbes, Quartz, and Inc.) View Details

Cite View Details SSRN Find at Harvard

In 2015, the Department of Veterans Affairs (VA) ran the largest healthcare system in the United States, with over 1,700 sites of care that served nearly 9 million veterans. One year earlier, a scandal had erupted over a cover-up of the excessive wait times veterans faced to get medical appointments in some VA facilities. The fallout led to the resignation of the Secretary of Veterans Affairs, a criminal investigation by the Federal Bureau of Investigation, and the eventual replacement of 14 of VA’s top 17 leaders. This case documents the efforts of the new leadership team to improve access, regain trust, and transform the organization to address the broadening medical needs of the nation's growing veteran population.

Faculty & Research

X: The Foghorn Decision

Abstract

Citation:

About the Authors

More from these Authors