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• Case | HBS Case Collection | December 2018

  OTE: Managing in Times of National Crisis (A)

  Juan Alcacer, Jérôme Lenhardt and Emer Moloney

  In late 2010, Michael Tsamaz was appointed CEO and Chairman of Greek telecommunications company OTE. OTE still exhibited many traits of a large incumbent organization, with high personnel costs, crippling bureaucracy, lack of customer-centricity, a dull brand, and eroding profitability. Tsamaz was taking over the reins at a time of deep economic crisis in Greece, which would impact the options available to him to transform the company.

  Keywords: Leading Change; Transformation; Economy; Crisis Management; Telecommunications Industry; Greece;

  Citation:

  Alcacer, Juan, Jérôme Lenhardt, and Emer Moloney. "OTE: Managing in Times of National Crisis (A)." Harvard Business School Case 719-456, December 2018.  View Details

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• Case | HBS Case Collection | December 2018

  Nissan and the Automotive Industry in Post-Brexit Europe

  Juan Alcacer, Jessica Gover and Kerry Herman

  Citation:

  Alcacer, Juan, Jessica Gover, and Kerry Herman. "Nissan and the Automotive Industry in Post-Brexit Europe." Harvard Business School Case 719-427, December 2018.  View Details

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• Article | Strategy Science

  Applying Random Coefficient Models to Strategy Research: Identifying and Exploring Firm Heterogeneous Effects

  Juan Alcácer, Wilbur Chung, Ashton Hawk and Gonçalo Pacheco-de-Almeida

  Strategy aims at understanding the differential effects of firms’ actions on performance. However, standard regression models estimate only the average effects of these actions across firms. Our paper discusses how random coefficient models (RCMs) may generate new insights about firm heterogeneity and its effects on performance in empirical settings in strategy. RCMs allow testing for and predicting firm-specific coefficients, thereby distinguishing between effects that have a significant mean versus significant variance. RCMs may also be used to explore the sources of firm heterogeneous effects. We develop a simulation testbed using synthetic datasets to show that RCMs are more precise at allocating firm heterogeneous effects to model slopes and intercepts than standard regression models. We also discuss RCMs’ possible limitations due to sample size requirements, nonconvergence problems, and potentially restrictive assumptions. Overall, RCMs allow strategy researchers to test and build new theories at a more granular level.

  Keywords: Strategy; Research; Competitive Advantage; Competitive Strategy; Performance;

  Citation:

  Alcácer, Juan, Wilbur Chung, Ashton Hawk, and Gonçalo Pacheco-de-Almeida. "Applying Random Coefficient Models to Strategy Research: Identifying and Exploring Firm Heterogeneous Effects." Strategy Science 3, no. 3 (September 2018): 481–553.  View Details

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