The Differential Impact of Knowledge Depth and Knowledge Breadth on Creativity over Individual Careers
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[1] B. Langford. Film Genre , 2019 .
[2] Pier Vittorio Mannucci. Drawing Snow White and Animating Buzz Lightyear: Technological Toolkit Characteristics and Creativity in Cross-Disciplinary Teams , 2017, Organ. Sci..
[3] Pier Vittorio Mannucci,et al. From Creativity to Innovation: The Social Network Drivers of the Four Phases of the Idea Journey , 2017 .
[4] John R. Busenbark,et al. Sample Selection Bias and Heckman Models in Strategic Management Research , 2016 .
[5] M. Haas,et al. Microfoundations of Knowledge Recombination: Peripheral Knowledge and Breakthrough Innovation in Teams , 2015 .
[6] Carol T. Kulik,et al. Aging Populations and Management , 2014 .
[7] S. Harvey. Creative Synthesis: Exploring the Process of Extraordinary Group Creativity , 2014 .
[8] P. Allison,et al. Insiders, Outsiders, and the Struggle for Consecration in Cultural Fields , 2014 .
[9] Wai Fong Boh,et al. Balancing breadth and depth of expertise for innovation: A 3M story , 2014 .
[10] Stefano Brusoni,et al. The Rejuvenation of Inventors Through Corporate Spinouts , 2013, Organ. Sci..
[11] J. Perry-Smith. Social network ties beyond nonredundancy: an experimental investigation of the effect of knowledge content and tie strength on creativity. , 2014, The Journal of applied psychology.
[12] Shuangzhe Liu,et al. Regression diagnostics , 2020, Applied Quantitative Analysis for Real Estate.
[13] Manuel E. Sosa. Where Do Creative Interactions Come From? The Role of Tie Content and Social Networks , 2011, Organ. Sci..
[14] Erik Dane. Reconsidering the Trade-off Between Expertise and Flexibility: a Cognitive Entrenchment Perspective , 2010 .
[15] N. Jewell,et al. To GEE or Not to GEE: Comparing Population Average and Mixed Models for Estimating the Associations Between Neighborhood Risk Factors and Health , 2010, Epidemiology.
[16] Linda Argote,et al. First, get your feet wet: The effects of learning from direct and indirect experience on team creativity , 2010 .
[17] Wolfgang Stroebe,et al. The selection of creative ideas after individual idea generation: choosing between creativity and impact. , 2010, British journal of psychology.
[18] Mike Rose,et al. Writer's Block: The Cognitive Dimension , 2009 .
[19] M. Furniss. Animation: Art and Industry , 2009 .
[20] Gino Cattani,et al. A Core/Periphery Perspective on Individual Creative Performance: Social Networks and Cinematic Achievements in the Hollywood Film Industry , 2008, Organ. Sci..
[21] Matthijs Baas,et al. Hedonic tone and activation level in the mood-creativity link: toward a dual pathway to creativity model. , 2008, Journal of personality and social psychology.
[22] Ed Calmull. How Pixar Fosters Collective Creativity , 2008 .
[23] Teresa M. Amabile,et al. Assessing Creativity and Its Antecedents: An Exploration of the Componential Theory of Creativity , 2008 .
[24] J. George. 9 Creativity in Organizations , 2007 .
[25] David Norman Rodowick,et al. The Virtual Life of Film , 2007 .
[26] J. Myles Shaver,et al. Interpreting Empirical Results in Strategy and Management Research , 2007 .
[27] Fabrizio Perretti,et al. Mixing genres and matching people: a study in innovation and team composition in Hollywood , 2007 .
[28] James Cui,et al. QIC Program and Model Selection in GEE Analyses , 2007 .
[29] Patrick J Heagerty,et al. Marginal modeling of nonnested multilevel data using standard software. , 2006, American journal of epidemiology.
[30] S. Cavalcante. Information Processing and Decision Making in Organizations. The Case of the Department of Fiscal-Administrative Affairs in Ceará (Brazil) , 2007 .
[31] Daniel A. Levinthal,et al. Exploration and Exploitation in Organizational Learning , 2007 .
[32] Pino G. Audia,et al. Past Success and Creativity over Time: A Study of Inventors in the Hard Disk Drive Industry , 2007, Manag. Sci..
[33] J. Hilbe. Negative Binomial Regression: Preface , 2007 .
[34] H. Greve,et al. Superman or the Fantastic Four? Knowledge Combination and Experience in Innovative Teams , 2006 .
[35] S. Kotha,et al. Knowledge Creation Through External Venturing: Evidence from the Telecommunications Equipment Manufacturing Industry , 2006 .
[36] Beth A. Bechky,et al. When Collections of Creatives Become Creative Collectives: A Field Study of Problem Solving at Work , 2006, Organ. Sci..
[37] Michael D. Mumford,et al. Errors in Creative Thought? Cognitive Biases in a Complex Processing Activity , 2006 .
[38] David J. Miller,et al. How quickly do CEOs become obsolete? Industry dynamism, CEO tenure, and company performance , 2006 .
[39] J. Perry-Smith. Social Yet Creative: The Role Of Social Relationships In Facilitating Individual Creativity , 2006 .
[40] Daniel A. Levinthal,et al. Strategy making in novel and complex worlds: the power of analogy , 2005 .
[41] L. Pelletier,et al. Latent Motivational Change in an Academic Setting: A 3-Year Longitudinal Study , 2005 .
[42] David M. Waguespack,et al. Social Networks and Exchange: Self-Confirming Dynamics in Hollywood , 2005 .
[43] C. Shalley,et al. The Effects of Personal and Contextual Characteristics on Creativity: Where Should We Go from Here? , 2004 .
[44] Author. Film Awards as Indicators of Cinematic Creativity and Achievement: A Quantitative Comparison of the Oscars and Six Alternatives , 2004 .
[45] A. Qu,et al. Assessing robustness of generalised estimating equations and quadratic inference functions , 2004 .
[46] T. B. Ward. Cognition, Creativity, and Entrepreneurship , 2004 .
[47] Dean Keith Simonton,et al. Scientific creativity as constrained stochastic behavior: the integration of product, person, and process perspectives. , 2003, Psychological bulletin.
[48] Jing Zhou. When the presence of creative coworkers is related to creativity: role of supervisor close monitoring, developmental feedback, and creative personality. , 2003, The Journal of applied psychology.
[49] C. Shalley,et al. The Social Side of Creativity: A Static and Dynamic Social Network Perspective , 2003 .
[50] R. Katila,et al. SOMETHING OLD, SOMETHING NEW: A LONGITUDINAL STUDY OF SEARCH BEHAVIOR AND NEW PRODUCT INTRODUCTION , 2002 .
[51] M. Arellano. Panel Data Econometrics , 2002 .
[52] J. Hardin,et al. Generalized Estimating Equations , 2002 .
[53] D. Rousseau. Schema, promise and mutuality: The building blocks of the psychological contract , 2001 .
[54] John Canemaker. Walt Disney's Nine Old Men and the Art of Animation , 2001 .
[55] A. E. Gottfried,et al. Continuity of academic intrinsic motivation from childhood through late adolescence: A longitudinal study. , 2001 .
[56] W. Pan. Akaike's Information Criterion in Generalized Estimating Equations , 2001, Biometrics.
[57] Srilakshmi,et al. Creativity, Inc.: Overcoming the Unseen Forces That Stand in the Way of True Inspiration , 2001 .
[58] B. Lindsay,et al. Improving generalised estimating equations using quadratic inference functions , 2000 .
[59] Gareth R. Jones,et al. The Role of Time in Theory and Theory Building , 2000 .
[60] Dean Keith Simonton,et al. Creative Development as Acquired Expertise: Theoretical Issues and an Empirical Test☆ , 2000 .
[61] T. Lant,et al. Balancing Act: Learning from Organizing Practices in Cultural Industries , 2000 .
[62] Bruce R. Burningham. Walt Disney's Toy Story as Postmodern Don Quixote , 2000 .
[63] Jeffrey M. Wooldridge,et al. Introductory Econometrics: A Modern Approach , 1999 .
[64] D. Simonton. Origins of genius : Darwinian perspectives on creativity , 1999 .
[65] Paul Sparrow,et al. Strategy and cognition: understanding the role of management knowledge structures, organizational memory and information overload , 1999 .
[66] Mark I. Hwang,et al. Information dimension, information overload and decision quality , 1999, J. Inf. Sci..
[67] Robert K. Kazanjian,et al. Multilevel Theorizing about Creativity in Organizations: A Sensemaking Perspective , 1999 .
[68] M. Csíkszentmihályi. Implications of a Systems Perspective for the Study of Creativity , 1998 .
[69] Teresa M. Amabile,et al. How to kill creativity. , 1998, Harvard business review.
[70] Pravin K. Trivedi,et al. Regression Analysis of Count Data: Preface , 1998 .
[71] Dean Keith Simonton,et al. Creative productivity: A predictive and explanatory model of career trajectories and landmarks. , 1997 .
[72] Teresa M. Amabile,et al. Assessing the Work Environment for Creativity , 1996 .
[73] Teresa M. Amabile,et al. Creativity In Context: Update To The Social Psychology Of Creativity , 1996 .
[74] Stanley G. Harris,et al. Organizational Culture and Individual Sensemaking: A Schema-Based Perspective , 1994 .
[75] S. Caird. How do Award Winners come up with Innovative Ideas , 1994 .
[76] J. Sinacore. Multiple regression: Testing and interpreting interactions , 1993 .
[77] Ricky W. Griffin,et al. Toward a Theory of Organizational Creativity , 1993 .
[78] A. Holden. Behind the Oscar: The Secret History of the Academy Awards , 1993 .
[79] D. Simonton. Leaders of American Psychology, 1879-1967: Career Development, Creative Output, and Professional Achievement , 1992 .
[80] David A. Belsley,et al. Conditioning Diagnostics: Collinearity and Weak Data in Regression , 1991 .
[81] Shelley E. Taylor,et al. Social cognition, 2nd ed. , 1991 .
[82] P. Senge. THE FIFTH DISCIPLINE , 1997 .
[83] D. C. Feldman,et al. Socialization, resocialization, and training: Reframing the research agenda. , 1989 .
[84] Robert J. Sternberg,et al. Expertise and Intelligent Thinking: When is it Worse to Know Better , 1989 .
[85] D. Hocevar,et al. A Taxonomy and Critique of Measurements Used in the Study of Creativity , 1989 .
[86] D. Simonton,et al. Age and outstanding achievement: what do we know after a century of research? , 1988, Psychological bulletin.
[87] M. Mumford,et al. Creativity syndrome: Integration, application, and innovation. , 1988 .
[88] P. Costa,et al. Declines in divergent thinking with age: cross-sectional, longitudinal, and cross-sequential analyses. , 1987, Psychology and aging.
[89] S. Zeger,et al. Longitudinal data analysis using generalized linear models , 1986 .
[90] Gail S. MacColl,et al. Inside Oscar: The Unofficial History of the Academy Awards , 1985 .
[91] Z. Griliches,et al. Econometric Models for Count Data with an Application to the Patents-R&D Relationship , 1984 .
[92] Dean Keith Simonton,et al. Creative productivity and age: A mathematical model based on a two-step cognitive process , 1984 .
[93] Araújo,et al. An Evolutionary theory of economic change , 1983 .
[94] Lung-fei Lee. Generalized Econometric Models with Selectivity , 1983 .
[95] T. M. Amabile. The social psychology of creativity: A componential conceptualization. , 1983 .
[96] T. M. Amabile. Social psychology of creativity: A consensual assessment technique. , 1982 .
[97] R. Katz,et al. Investigating the Not Invented Here (NIH) syndrome: A look at the performance, tenure, and communication patterns of 50 R & D Project Groups , 1982 .
[98] C. O'Reilly. Individuals and Information Overload in Organizations: Is More Necessarily Better? , 1980 .
[99] J. Heckman. Sample selection bias as a specification error , 1979 .
[100] D. Simonton,et al. Creative productivity, age, and stress: a biographical time-series analysis of 10 classical composers. , 1977, Journal of personality and social psychology.
[101] R. Sternberg,et al. Intelligence, Information Processing and Analogical Reasoning : The Componential Analysis of Human Abilities , 1977 .
[102] D. Simonton,et al. Sociocultural context of individual creativity: a transhistorical time-series analysis. , 1975, Journal of personality and social psychology.
[103] D. Simonton. Age and Literary Creativity , 1975 .
[104] H. Lehman. The most creative years of engineers and other technologists. , 1966, The Journal of genetic psychology.
[105] W. Dennis,et al. Creative productivity between the ages of 20 and 80 years. , 1966, Journal of gerontology.
[106] S. Mednick. The associative basis of the creative process. , 1962, Psychological review.
[107] D. Campbell. Blind variation and selective retention in creative thought as in other knowledge processes. , 1960, Psychological review.
[108] H. Lehman,et al. The age decrement in outstanding scientific creativity. , 1960 .
[109] Wayne Dennis,et al. The age decrement in outstanding scientific contributions: Fact or artifact? , 1958 .
[110] H. Eysenck,et al. Thinking movement and the creation of dance through numbers , 2006 .
[111] H. Lehman,et al. The Chemist's Most Creative Years: The 2500 ablest of the world's chemists attained their maximum production rate at ages 30 through 34. , 1958, Science.
[112] H. Lehman. Men's Creative Production Rate at Different Ages and in Different Countries , 1954 .
[113] H. Lehman. Age and Achievement , 1953 .
[114] H. Lehman. The creative years: oil paintings, etchings, and architectural works. , 1942 .