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• Case | HBS Case Collection | July 2020 (Revised October 2020)

  Gera Developments: Leadership at a Crossroads

  Christina R. Wing and John Masko

  For decades, Gera Developments (Gera) was a boutique family-owned real estate development firm in Pune, India. But since 2000, managing director Rohit Gera had turned the company into a dynamic innovator in housing solutions for urban Indian families. Over the 2010s, Gera had multiplied its area under development threefold; it had introduced its new ChildCentric vision of family housing villages (which incorporated children’s academies in skills from swimming to singing into the real estate complex); and it had expanded its operations from Pune to the nearby state of Goa. Meanwhile, Rohit’s brother Nikhil—a California resident—had invested company funds in several construction projects overseas in the San Francisco Bay Area. In 2020, the company stood at a crossroads. With Rohit beginning to envision the end of his managerial career, Gera had several key decisions to make: Should it double down on ChildCentric, introduce new age-differentiated offerings to serve its customers throughout their lives, or return to a more commoditized style of real estate development? To what extent should Gera cast in its lot with Nikhil’s U.S. projects? Should the company consider other avenues for international expansion? And to whom would Rohit pass the torch of Gera’s leadership—his daughter Diya, or an outside professional manager?

  Keywords: Buildings and Facilities; Business Growth and Maturation; Construction; Geographic Location; Global Strategy; Globalized Firms and Management; Housing; Leadership Style; Management Succession; Organizational Change and Adaptation; Organizational Culture; Family Ownership; Family and Family Relationships; Urban Development; Customization and Personalization; Real Estate Industry; Maharashtra; India; United States;

  Citation:

  Wing, Christina R., and John Masko. "Gera Developments: Leadership at a Crossroads." Harvard Business School Case 621-018, July 2020. (Revised October 2020.)  View Details

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• Case | HBS Case Collection | January 2017 (Revised October 2020)

  Fitbit

  Regina E. Herzlinger, Christine Snively and Sarah Mehta

  In 2019, Fitbit lost its leadership in the wearable sensor market to Apple and to cheaper alternatives.
  Why did it lose its market position?
  How will the proposed acquisition affect it and Google?

  Keywords: wearable sensors; smart watches in health care; Google acquisition; Health Care and Treatment; Technology; Acquisition;

  Citation:

  Herzlinger, Regina E., Christine Snively, and Sarah Mehta. "Fitbit." Harvard Business School Case 317-007, January 2017. (Revised October 2020.)  View Details

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• Technical Note | HBS Case Collection | August 2020 (Revised September 2020)

  Assessing Prediction Accuracy of Machine Learning Models

  Michael W. Toffel, Natalie Epstein, Kris Ferreira and Yael Grushka-Cockayne

  The note introduces a variety of methods to assess the accuracy of machine learning prediction models. The note begins by briefly introducing machine learning, overfitting, training versus test datasets, and cross validation. The following accuracy metrics and tools are then described: mean squared error (MSE), mean absolute deviation (MAD), Brier score, and cross-entropy, true/false positives/negatives, the confusion matrix, true positive rate (sensitivity or recall), false negative rate (Type II error rate), precision, true negative rate (specificity), false positive rate (Type I error rate), receiver operating characteristic curve (ROC) and area under the curve (AUC), and precision-recall curve.

  Keywords: Machine learning; statistics; econometric analyses; experimental methods; data analysis; Data Analytics; Forecasting and Prediction; Data and Data Sets; Analysis; Mathematical Methods;

  Citation:

  Toffel, Michael W., Natalie Epstein, Kris Ferreira, and Yael Grushka-Cockayne. "Assessing Prediction Accuracy of Machine Learning Models." Harvard Business School Technical Note 621-045, August 2020. (Revised September 2020.)  View Details

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