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(1,647)
- People (3)
- News (349)
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- Multimedia (1)
- Faculty Publications (256)
Show Results For
- All HBS Web
(1,647)
- People (3)
- News (349)
- Research (955)
- Events (2)
- Multimedia (1)
- Faculty Publications (256)
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- 2008
- Working Paper
Learning Processes in Environmental Policy Making and Implementation
By: Alnoor Ebrahim
This paper explores how "learning" occurs in the context of environmental policy formulation and implementation. Rather than viewing policy learning as a rational and technocratic process, the emphasis here is on the political and institutional contexts within which... View Details
- 2009
- Book
Designing Care: Aligning the Nature and Management of Health Care
By: Richard Bohmer
Today's health-care providers face growing criticism - from policy makers and patients alike. As costs continue to spiral upward and concerns about quality of care escalate, the debate has focused on how to finance health care. Yet funding solutions can't... View Details
Keywords: Cost Management; Health Care and Treatment; Service Delivery; Business Processes; Organizational Culture
Bohmer, Richard. Designing Care: Aligning the Nature and Management of Health Care. Harvard Business Press, 2009.
- 11 Dec 2006
- Working Paper Summaries
Three Perspectives on Team Learning: Outcome Improvement, Task Mastery, and Group Process
- 1980
- Working Paper
Components of Manufacturing Inventories: A Structural Model of the Production Process
By: Alan J. Auerbach and Jerry R. Green
This paper presents a structural model of production and inventory accumulation based on the hypothesis of cost minimization. It differs from previous attempts in several respects. First, it integrates the analysis of input inventories with output inventories, treating... View Details
Auerbach, Alan J., and Jerry R. Green. "Components of Manufacturing Inventories: A Structural Model of the Production Process." NBER Working Paper Series, No. 491, June 1980.
- 2007
- Article
Three Perspectives on Team Learning: Outcome Improvement, Task Mastery, and Group Process
By: Amy C. Edmondson, James R. Dillon and Kate Roloff
The emergence of a research literature on team learning has been driven by at least two factors. First, longstanding interest in what makes organizational work teams effective leads naturally to questions about how members of newly formed teams learn to work together... View Details
Keywords: Learning; Organizational Culture; Performance Improvement; Practice; Groups and Teams; Research; Adaptation; Cooperation
Edmondson, Amy C., James R. Dillon, and Kate Roloff. "Three Perspectives on Team Learning: Outcome Improvement, Task Mastery, and Group Process." Academy of Management Annals 1 (2007): 269–314.
- October 2015
- Article
The Relational Nature of Leadership Identity Construction: How and When It Influences Perceived Leadership and Decision-Making
By: Lisa Marchiondo, Christopher G. Myers and Shirli Kopelman
This paper empirically tests leadership identity construction theory (DeRue & Ashford, 2010), conceptually framing claiming and granting leadership as a negotiated process that influences leadership perceptions and decision-making in interdependent contexts. In Study... View Details
Marchiondo, Lisa, Christopher G. Myers, and Shirli Kopelman. "The Relational Nature of Leadership Identity Construction: How and When It Influences Perceived Leadership and Decision-Making." Leadership Quarterly 26, no. 5 (October 2015): 892–908.
- 2006
- Working Paper
Defining the Attributes and Processes that Enhance the Effectiveness of Workforce Diversity Initiatives in Knowledge Intensive Firms
By: Modupe Akinola and David A. Thomas
Workforce diversity continues to be a key focus for organizations, driven by globalization of the U.S. economy and the desire for organizations to more accurately reflect the demographic diversity of the US population. Yet, most research on diversity in organizations... View Details
Keywords: Diversity; Globalization; Employees; Retention; Knowledge Sharing; Research; United States
Akinola, Modupe, and David A. Thomas. "Defining the Attributes and Processes that Enhance the Effectiveness of Workforce Diversity Initiatives in Knowledge Intensive Firms." Harvard Business School Working Paper, No. 07-019, September 2006. (Revised August 2008.)
- 2024
- Working Paper
The Narrative AI Advantage? A Field Experiment on Generative AI-Augmented Evaluations of Early-Stage Innovations
By: Jacqueline N. Lane, Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh and Pei-Hsin Wang
The rise of generative artificial intelligence (AI) is transforming creative problem-solving, necessitating new approaches for evaluating innovative solutions. This study explores how human-AI collaboration can enhance early-stage evaluations, focusing on the interplay... View Details
Lane, Jacqueline N., Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh, and Pei-Hsin Wang. "The Narrative AI Advantage? A Field Experiment on Generative AI-Augmented Evaluations of Early-Stage Innovations." Harvard Business School Working Paper, No. 25-001, August 2024. (Revised August 2024.)
- Article
Reflections on the 2013 Decade Award: 'Exploitation, Exploration, and Process Management: The Productivity Dilemma Revisited' Ten Years Later
By: Mary Benner and Michael Tushman
This paper reflects on Benner and Tushman (2003): "Exploitation, Exploration, and Process Management: The Productivity Dilemma Revisited." Our paper received the Academy of Management Review's best paper award in 2003 and the decade award in 2013. We consider the... View Details
Keywords: Organizations; Innovation and Invention; Performance Productivity; Innovation and Management
Benner, Mary, and Michael Tushman. "Reflections on the 2013 Decade Award: 'Exploitation, Exploration, and Process Management: The Productivity Dilemma Revisited' Ten Years Later." Academy of Management Review 40, no. 4 (October 2015): 497–514.
- September–October 2024
- Article
The Crowdless Future? Generative AI and Creative Problem-Solving
The rapid advances in generative artificial intelligence (AI) open up attractive opportunities for creative problem-solving through human-guided AI partnerships. To explore this potential, we initiated a crowdsourcing challenge focused on sustainable, circular economy... View Details
Keywords: Large Language Models; Generative Ai; Crowdsourcing; AI and Machine Learning; Creativity; Technological Innovation
Boussioux, Léonard, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, and Karim R. Lakhani. "The Crowdless Future? Generative AI and Creative Problem-Solving." Organization Science 35, no. 5 (September–October 2024): 1589–1607.
- 2024
- Working Paper
The Crowdless Future? Generative AI and Creative Problem Solving
The rapid advances in generative artificial intelligence (AI) open up attractive opportunities for creative problem-solving through human-guided AI partnerships. To explore this potential, we initiated a crowdsourcing challenge focused on sustainable, circular economy... View Details
Keywords: Large Language Models; Crowdsourcing; Generative Ai; Creative Problem-solving; Organizational Search; AI-in-the-loop; Prompt Engineering; AI and Machine Learning; Innovation and Invention
Boussioux, Léonard, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, and Karim R. Lakhani. "The Crowdless Future? Generative AI and Creative Problem Solving." Harvard Business School Working Paper, No. 24-005, July 2023. (Revised July 2024.)
- February 2015
- Article
'Open' Disclosure of Innovations, Incentives and Follow-on Reuse: Theory on Processes of Cumulative Innovation and a Field Experiment in Computational Biology
By: Kevin J. Boudreau and Karim R. Lakhani
Most of society's innovation systems―academic science, the patent system, open source, etc.―are "open" in the sense that they are designed to facilitate knowledge disclosure among innovators. An essential difference across innovation systems is whether disclosure is of... View Details
Keywords: Open Innovation; Cumulative Innovation; Incentives; Search; Disclosure And Access; Knowledge Sharing; Motivation and Incentives; Collaborative Innovation and Invention
Boudreau, Kevin J., and Karim R. Lakhani. "'Open' Disclosure of Innovations, Incentives and Follow-on Reuse: Theory on Processes of Cumulative Innovation and a Field Experiment in Computational Biology." Research Policy 44, no. 1 (February 2015): 4–19.
- June 2012
- Supplement
Foro Energy (B)
By: Joseph B. Lassiter, William A. Sahlman and James McQuade
Foro Energy developed proprietary and patent-pending fiber-laser technologies that could disrupt existing processes and services for the exploration and production of oil and natural gas. These breakthrough laser technologies were protected by a strong intellectual... View Details
Keywords: Disruptive Technologies; Innovation ＆ Entrepreneurship; Development Stage Enterprises; Entrepreneurial Management; Entrepreneurs; Petroleum; Natural Gas; High Technology; Energy; Entrepreneurship; Disruptive Innovation; Technological Innovation; Intellectual Property; Energy Industry
Lassiter, Joseph B., William A. Sahlman, and James McQuade. "Foro Energy (B)." Harvard Business School Supplement 812-163, June 2012.
- July 2024
- Article
Chatbots and Mental Health: Insights into the Safety of Generative AI
By: Julian De Freitas, Ahmet Kaan Uğuralp, Zeliha Uğuralp and Stefano Puntoni
Chatbots are now able to engage in sophisticated conversations with consumers. Due to the ‘black box’ nature of the algorithms, it is impossible to predict in advance how these conversations will unfold. Behavioral research provides little insight into potential safety... View Details
Keywords: Autonomy; Chatbots; New Technology; Brand Crises; Mental Health; Large Language Model; AI and Machine Learning; Behavior; Well-being; Technological Innovation; Ethics
De Freitas, Julian, Ahmet Kaan Uğuralp, Zeliha Uğuralp, and Stefano Puntoni. "Chatbots and Mental Health: Insights into the Safety of Generative AI." Journal of Consumer Psychology 34, no. 3 (July 2024): 481–491.
- February 2018
- Supplement
People Analytics at Teach For America (B)
By: Jeffrey T. Polzer and Julia Kelley
This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, Managing Director Michael Metzger must decide how to extend his team’s predictive analytics work using Natural Language Processing (NLP) techniques. View Details
- Teaching Interest
Overview
I served as a Teaching Fellow for the Applied Business Analytics second-year MBA course. This course sought to teach MBA students how businesses can improve their strategic decisions using statistics and machine learning techniques. (e.g., regression models, random... View Details
- December 2021
- Article
Negativity Spreads More Than Positivity on Twitter after Both Positive and Negative Political Situations
By: Jonas Paul Schöne, Brian Parkinson and Amit Goldenberg
What type of emotional language spreads further in political discourses on social media? Previous research has focused on situations that primarily elicited negative emotions, showing that negative language tended to spread further. The current project extends existing... View Details
Keywords: Negative Emotions; Emotional Influence; Emotional Resonance; Political Discourse; Emotion Contagion; Intergroup; Interactive Communication; Emotions; Government and Politics; Social Media
Schöne, Jonas Paul, Brian Parkinson, and Amit Goldenberg. "Negativity Spreads More Than Positivity on Twitter after Both Positive and Negative Political Situations." Affective Science 2, no. 4 (December 2021): 379–390.
- 2013
- Article
Where Not to Eat? Improving Public Policy by Predicting Hygiene Inspections Using Online Reviews
By: Jun Seok Kang, Polina Kuznetsova, Yejin Choi and Michael Luca
Restaurant hygiene inspections are often cited as a success story of public disclosure. Hygiene grades influence customer decisions and serve as an accountability system for restaurants. However, cities (which are responsible for inspections) have limited resources to... View Details
Keywords: Safety; Food; Governance Compliance; Mathematical Methods; Applications and Software; Public Administration Industry; Retail Industry; Food and Beverage Industry
Kang, Jun Seok, Polina Kuznetsova, Yejin Choi, and Michael Luca. "Where Not to Eat? Improving Public Policy by Predicting Hygiene Inspections Using Online Reviews." Proceedings of the Conference on Empirical Methods in Natural Language Processing (2013): 1443–1448.
- 2023
- Working Paper
Sending Signals: Strategic Displays of Warmth and Competence
By: Bushra S. Guenoun and Julian J. Zlatev
Using a combination of exploratory and confirmatory approaches, this research examines how
people signal important information about themselves to others. We first train machine learning
models to assess the use of warmth and competence impression management... View Details
Keywords: AI and Machine Learning; Personal Characteristics; Perception; Interpersonal Communication
Guenoun, Bushra S., and Julian J. Zlatev. "Sending Signals: Strategic Displays of Warmth and Competence." Harvard Business School Working Paper, No. 23-051, February 2023.