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      • March 2022 (Revised May 2022)
      • Case

      Winning Business at Russell Reynolds (A)

      By: Ethan Bernstein and Cara Mazzucco
      In an effort to make compensation drive collaboration, Russell Reynolds Associates’ (RRA) CEO Clarke Murphy sought to re-engineer the bonus system for his executive search consultants in 2016. As his HR analytics guru, Kelly Smith, points out, that risks upsetting–and...  View Details
      Keywords: Compensation; Collaboration; Executive Search Firms; Consulting Firms; Compensation and Benefits; Restructuring; Human Resources; Human Capital; Management Practices and Processes; Organizational Culture; Organizational Change and Adaptation; Social and Collaborative Networks; Recruitment; Selection and Staffing; Talent and Talent Management; Consulting Industry; Employment Industry; Asia; Europe; Latin America; Middle East; North and Central America; South America; Oceania
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      Bernstein, Ethan, and Cara Mazzucco. "Winning Business at Russell Reynolds (A)." Harvard Business School Case 422-045, March 2022. (Revised May 2022.)
      • March 2022
      • Supplement

      Winning Business at Russell Reynolds (B)

      By: Ethan Bernstein and Cara Mazzucco
      In an effort to make compensation drive collaboration, Russell Reynolds Associates’ (RRA) CEO Clarke Murphy sought to re-engineer the bonus system for his executive search consultants in 2016. As his HR analytics guru, Kelly Smith, points out, that risks upsetting–and...  View Details
      Keywords: Compensation; Collaboration; Executive Search Firms; Consulting Firms; Compensation and Benefits; Restructuring; Human Resources; Human Capital; Management Practices and Processes; Organizational Culture; Organizational Change and Adaptation; Social and Collaborative Networks; Recruitment; Selection and Staffing; Talent and Talent Management; Consulting Industry; Employment Industry; Asia; Europe; Latin America; Middle East; North and Central America; South America; Oceania
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      Bernstein, Ethan, and Cara Mazzucco. "Winning Business at Russell Reynolds (B)." Harvard Business School Supplement 422-046, March 2022.
      • 2020
      • Working Paper

      Social Interactions in Pandemics: Fear, Altruism, and Reciprocity

      By: Laura Alfaro, Ester Faia, Nora Lamersdorf and Farzad Saidi
      In SIR models, homogeneous or with a network structure, infection rates are assumed to be exogenous. However, individuals adjust their behavior. Using daily data for 89 cities worldwide, we document that mobility falls in response to fear, as approximated by Google...  View Details
      Keywords: Social Interactions; Pandemics; Mobility; Cities; SIR Networks; Social Preferences; Social Planner; Targeted Policies; Health Pandemics; Interpersonal Communication; Behavior; Policy
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      Alfaro, Laura, Ester Faia, Nora Lamersdorf, and Farzad Saidi. "Social Interactions in Pandemics: Fear, Altruism, and Reciprocity." NBER Working Paper Series, No. 27134, May 2020.
      • 2021
      • Working Paper

      Hunting for Talent: Firm-driven Labor Market Search in the United States

      By: Rembrand Koning, Sharique Hasan and Ines Black
      This article analyzes the phenomenon of firm-driven labor market search—or outbound recruiting—where recruiters are increasingly “hunting for talent” rather than passively relying on workers to search for and apply to job vacancies. Our research methodology leverages...  View Details
      Keywords: Hiring; Referrals; Outbound Recruiting; Labor Markets; Selection and Staffing; Networks; Recruitment; Strategy; United States
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      Koning, Rembrand, Sharique Hasan, and Ines Black. "Hunting for Talent: Firm-driven Labor Market Search in the United States." SSRN Working Paper Series, No. 3576498, September 2021.
      • 2019
      • Working Paper

      From Know-It-Alls to Learn-It-Alls: Executive Development in the Era of Self-Refining Algorithms, Collaborative Filtering and Wearable Computing

      By: Mihnea Moldoveanu and Das Narayandas
      We examine the future of executive education on a technological and cultural landscape that is imminent but different to the one we are accustomed to. We show how the contextualization, socialization and personalization of learning—avowed but distal goals of current...  View Details
      Keywords: Executive Education; Leadership Development; Technological Innovation; Customization and Personalization; Management Skills; Knowledge Acquisition; Knowledge Sharing
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      Moldoveanu, Mihnea, and Das Narayandas. "From Know-It-Alls to Learn-It-Alls: Executive Development in the Era of Self-Refining Algorithms, Collaborative Filtering and Wearable Computing." Harvard Business School Working Paper, No. 20-061, November 2019.
      • May, 2019
      • Article

      Who Would You Like to Work With?: Use of Individual Characteristics and Social Networks in Team Formation Systems

      By: Diego Gomez-Zara, Matthew Paras, Marlon Twyman, Jacqueline N. Lane, Leslie A. DeChurch and Noshir Contractor
      People and organizations are increasingly using online platforms to assemble teams. In response, HCI researchers have theorized frameworks and created systems to support team assembly. However, little is known about how users search for and choose teammates on these...  View Details
      Keywords: Team Formation; Groups and Teams; Recruitment; Networks; Diversity
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      Gomez-Zara, Diego, Matthew Paras, Marlon Twyman, Jacqueline N. Lane, Leslie A. DeChurch, and Noshir Contractor. "Who Would You Like to Work With? Use of Individual Characteristics and Social Networks in Team Formation Systems." Art. 659. CHI Conference on Human Factors in Computing Systems Proceedings (May, 2019).
      • 2016
      • Article

      Peer-to-Peer Markets

      By: Liran Einav, Chiara Farronato and Jonathan Levin
      Peer-to-peer markets such as eBay, Uber, and Airbnb allow small suppliers to compete with traditional providers of goods or services. We view the primary function of these markets as making it easy for buyers to find sellers and engage in convenient, trustworthy...  View Details
      Keywords: Peer-to-peer; Online Platforms; Matching; Innovation; Digital Platforms; Marketplace Matching; Market Design; Internet and the Web; Technology Adoption; Network Effects; Market Entry and Exit
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      Einav, Liran, Chiara Farronato, and Jonathan Levin. "Peer-to-Peer Markets." Annual Review of Economics 8 (2016): 615–635.
      • February 2016
      • Article

      After The Break-Up: The Relational and Reputational Consequences of Withdrawals from Venture Capital Syndicates

      By: Pavel Zhelyazkov and Ranjay Gulati
      Traditional research has long treated reputation as an egocentric attribute, typically described as an intangible asset directly shaped by the focal actor's track record. We argue, however, that reputation is dyadic: that an actor can have different reputations with...  View Details
      Keywords: Network Formation; Network Search; Venture Capital; Syndication; Networks
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      Zhelyazkov, Pavel, and Ranjay Gulati. "After The Break-Up: The Relational and Reputational Consequences of Withdrawals from Venture Capital Syndicates." Academy of Management Journal 59, no. 1 (February 2016): 277–301.
      • October 2015 (Revised September 2016)
      • Technical Note

      Flight: Now without Humans Aboard

      By: Mitchell Weiss, Karim Lakhani, HT Kung and Kerry Herman
      This note provides an overview of the unmanned aerial vehicles (UAVs, or drones) industry in September 2015. UAVs offered many potential applications in industries as diverse as aerial imaging and photography, agriculture, construction, infrastructure inspection and...  View Details
      Keywords: Public Entrepreneurship; Drones; Entrepreneurship; Business Startups; Product Design; Research and Development; Technological Innovation; Rights; Ethics; Strategy; Transportation Networks; Market Entry and Exit; Innovation and Management; European Union; Asia; United States
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      Weiss, Mitchell, Karim Lakhani, HT Kung, and Kerry Herman. "Flight: Now without Humans Aboard." Harvard Business School Technical Note 816-045, October 2015. (Revised September 2016.)
      • September–October 2015
      • Article

      Facts and Figuring: An Experimental Investigation of Network Structure and Performance in Information and Solution Spaces

      By: Jesse Shore, Ethan Bernstein and David Lazer
      Using data from a novel laboratory experiment on complex problem solving in which we varied the structure of 16-person networks, we investigate how an organization's network structure shapes performance of problem-solving tasks. Problem solving, we argue, involves both...  View Details
      Keywords: Networks; Experiments; Clustering; Problem Solving; Exploration And Exploitation; Knowledge; Search; Collaboration; Collaboration Structures; Transparency; Communication; Communication Technology; Information; Knowledge Use and Leverage; Organizational Design; Organizational Structure; Performance Effectiveness; Theory; Information Industry; Information Technology Industry; Public Administration Industry; Technology Industry; Service Industry
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      Shore, Jesse, Ethan Bernstein, and David Lazer. "Facts and Figuring: An Experimental Investigation of Network Structure and Performance in Information and Solution Spaces." Organization Science 26, no. 5 (September–October 2015): 1432–1446. (Won 2014 INGRoup Outstanding Paper Award.)
      • 2015
      • Article

      Scalable Detection of Anomalous Patterns With Connectivity Constraints

      By: Skyler Speakman, Edward McFowland III and Daniel B. Neill
      We present GraphScan, a novel method for detecting arbitrarily shaped connected clusters in graph or network data. Given a graph structure, data observed at each node, and a score function defining the anomalousness of a set of nodes, GraphScan can efficiently and...  View Details
      Keywords: Biosurveillance; Event Detection; Graph Mining; Scan Statistics; Spatial Scan Statistic
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      Speakman, Skyler, Edward McFowland III, and Daniel B. Neill. "Scalable Detection of Anomalous Patterns With Connectivity Constraints." Journal of Computational and Graphical Statistics 24, no. 4 (2015): 1014–1033.
      • September 2014 (Revised June 2017)
      • Case

      Google Inc. in 2014

      By: Benjamin Edelman and Thomas R. Eisenmann
      Describes Google's history, business model, governance structure, corporate culture, and processes for managing innovation. Reviews Google's recent strategic initiatives and the threats they pose to selected competitors. Asks what Google should do next.  View Details
      Keywords: Search Engines; Google; Online Advertising; Internet and the Web; Network Effects; Business Model; Competition; Digital Marketing; Information Technology Industry; Advertising Industry
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      Edelman, Benjamin, and Thomas R. Eisenmann. "Google Inc. in 2014." Harvard Business School Case 915-004, September 2014. (Revised June 2017.)
      • September 2014
      • Case

      Google Inc. in 2014 (Abridged)

      By: Benjamin Edelman and Thomas R. Eisenmann
      Describes Google's history, business model, governance structure, corporate culture, and processes for managing innovation. Reviews Google's recent strategic initiatives and the threats they pose to Yahoo, Microsoft, and others. Asks what Google should do next.  View Details
      Keywords: Search Engines; Google; Online Advertising; Internet and the Web; Network Effects; Business Model; Competition; Information Technology Industry; Advertising Industry
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      Edelman, Benjamin, and Thomas R. Eisenmann. "Google Inc. in 2014 (Abridged)." Harvard Business School Case 915-005, September 2014.
      • Article

      Fast Generalized Subset Scan for Anomalous Pattern Detection

      By: Edward McFowland III, Skyler Speakman and Daniel B. Neill
      We propose Fast Generalized Subset Scan (FGSS), a new method for detecting anomalous patterns in general categorical data sets. We frame the pattern detection problem as a search over subsets of data records and attributes, maximizing a nonparametric scan statistic...  View Details
      Keywords: Pattern Detection; Anomaly Detection; Knowledge Discovery; Bayesian Networks; Scan Statistics
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      McFowland III, Edward, Skyler Speakman, and Daniel B. Neill. "Fast Generalized Subset Scan for Anomalous Pattern Detection." Art. 12. Journal of Machine Learning Research 14 (2013): 1533–1561.
      • December 2012
      • Article

      Estimating the Value of Connections to Vice-President Cheney

      By: Rakesh Khurana, Raymond Fisman, Julia Galef and Yongxiang Wang
      We estimate the market valuation of personal ties to Richard Cheney. Our proxies for personal ties are based on corporate board linkages that are prevalent in the network sociology literature. We consider a number of distinct political and personal events that either...  View Details
      Keywords: Event Analysis; Political Economy; Corruption; Networks; United States
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      Khurana, Rakesh, Raymond Fisman, Julia Galef, and Yongxiang Wang. "Estimating the Value of Connections to Vice-President Cheney." B.E. Journal of Economic Analysis & Policy 13, no. 3 (December 2012).
      • 2012
      • Chapter

      Problem Solving and Search in Networks

      By: David Lazer and Ethan Bernstein
      This chapter examines the role that networks play in facilitating or inhibiting search for solutions to problems at both the individual and collective levels. At the individual level, search in networks enables individuals to transport themselves to a very different...  View Details
      Keywords: Network Organizations; Search; Problem Solving; Individual; Individuals And Teams; Collective; Cognitive Search; Network Search; Search Typology; Networks; Social and Collaborative Networks; Theory; Knowledge Sharing
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      Lazer, David, and Ethan Bernstein. "Problem Solving and Search in Networks." Chap. 17 in Cognitive Search: Evolution, Algorithms, and the Brain, edited by Peter M. Todd, Thomas T. Hills, and Trevor W. Robbins, 269–282. Cambridge, MA: MIT Press, 2012.
      • 2011
      • Article

      Scalable Detection of Anomalous Patterns With Connectivity Constraints

      By: Skyler Speakman, Edward McFowland III and Daniel B. Neill
      We present GraphScan, a novel method for detecting arbitrarily shaped connected clusters in graph or network data. Given a graph structure, data observed at each node, and a score function defining the anomalousness of a set of nodes, GraphScan can efficiently and...  View Details
      Keywords: Biosurveillance; Event Detection; Graph Mining; Scan Statistics; Spatial Scan Statistic
      Citation
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      Speakman, Skyler, Edward McFowland III, and Daniel B. Neill. "Scalable Detection of Anomalous Patterns With Connectivity Constraints." Emerging Health Threats Journal 4 (2011): 11121.
      • January 2011
      • Case

      Aardvark

      By: Thomas R. Eisenmann, Alison Berkley Wagonfeld and Lauren Barley
      Aardvark is an online social search service that allows users to pose questions and receive answers from other users in their extended social network. The case explores the process that Aardvark's founders used to design and develop their product based on intensive...  View Details
      Keywords: Business Startups; Customer Focus and Relationships; Customer Satisfaction; Entrepreneurship; Product Design; Product Development; Social and Collaborative Networks; Internet
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      Eisenmann, Thomas R., Alison Berkley Wagonfeld, and Lauren Barley. "Aardvark." Harvard Business School Case 811-064, January 2011. (request a courtesy copy.)
      • January 2010 (Revised April 2011)
      • Case

      Google Inc.

      By: Benjamin Edelman and Thomas R. Eisenmann
      Describes Google's history, business model, governance structure, corporate culture, and processes for managing innovation. Reviews Google's recent strategic initiatives and the threats they pose to Yahoo, Microsoft, and others. Asks what Google should do next. One...  View Details
      Keywords: Digital Marketing; Business Model; Growth and Development Strategy; Network Effects; Mission and Purpose; Expansion; Internet and the Web; Information Technology Industry
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      Edelman, Benjamin, and Thomas R. Eisenmann. "Google Inc." Harvard Business School Case 910-036, January 2010. (Revised April 2011.) (Winner of ECCH 2011 Award for Outstanding Contribution to the Case Method - Strategy and General Management.)
      • 2009
      • Working Paper

      'I read Playboy for the Articles': Justifying and Rationalizing Questionable Preferences

      By: Zoe Chance and Michael I. Norton
      Keywords: Job Search; Market Participation; Market Transactions; Marketplace Matching; Relationships; Social and Collaborative Networks
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      Chance, Zoe, and Michael I. Norton. "'I read Playboy for the Articles': Justifying and Rationalizing Questionable Preferences." Harvard Business School Working Paper, No. 10-018, September 2009.
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