Bibliography

See also Category:Publications

• Abernathy and Utterback, 1978 "Patterns of industrial innovation."
• Alexander et al., 1977. A Pattern Language: Towns, Buildings, Construction by Christopher Alexander, Sara Ishikawa and Murray Silverstein.
• Baetjer, 1998. Software as Capital: An Economic Perspective On Software Engineering by Howard Batjer, Jr.
• Baldwin and Clark, 2000. Design Rules, vol 1: The Power of Modularity by Carliss Y. Baldwin and Kim B. Clark.
• Christiansen, 1997. The Innovator's Dilemma by Clayton M. Christensen.
• Coleman, 2005. "Three Ethical Moments in Debian" by E. Gabriella Coleman.
• Cringely, 1992. Accidental Empires, by Robert X. Cringely.
• Dosi, 1988. Sources, Procedures, and Microeconomic Effects of Innovation, by Giovanni Dosi.
• Helgesen, 2008. "The Practical Wisdom of Ikujiro Nonaka" by Sally Helgesen.
• Kaplan, 1994. Startup: a Silicon Valley adventure by Jerry Kaplan.
• Kelty, 2008. Two Bits: The Cultural Significance of Free Software by Christopher M. Kelty.
• Kidder, 1981. The Soul of a New Machine by Tracy Kidder.
• Landes, 1969. The Unbound Prometheus by David S. Landes.
• Levy, 1984. Hackers: heroes of the computer revolution by Steven Levy.
• MacKenzie 1996 Knowing Machines: Essays on Technical Change. by Donald MacKenzie
• Melian, 2007. Progressive Open Source by Catharina Melian.
• Meyer, 2007. "Network of tinkerers" by Peter Benjamin Meyer.
• Meisenzahl and Mokyr, 2011 and 2012. The Rate and Direction of Invention in the British Industrial Revolution: Incentives and Institutions. Aka, "the tweakers paper".
• Mokyr, 1990. The Lever of Riches by Joel Mokyr.
• Moody, 2001. Rebel Code: The Inside Story of Linux and the Open Source Revolution by Glyn Moody.
• Moser, 2007. "Why don't inventors patent?" by Petra Moser
• Nelson and Winter, 1982. An Evolutionary Theory of Economic Change by Richard R. Nelson and Sidney G. Winter.
• Nuvolari, 2004 Collective Invention during the British Industrial Revolution: the Case of the Cornish Pumping Engine
• Pavlicek, 2000 Embracing Insanity: open source software development by Russell C. Pavlicek.
• Perez, 2002. Technological Revolutions and Financial Capital by Carlota Perez.
• Polanski, 2007. Is the General Public Licence a Rational Choice? by Arnold Polanski. (on jstor)
• Robles and Gonzalez-Barahona, 2012. A Comprehensive Study of Software Forks: Dates, Reasons and Outcomes.
• Rogers, 1995. Diffusion of Innovations by Everett M. Rogers, 4th edition.
• Rosenberg, 1982. Exploring the black box: technology, economics, and history by Nathan Rosenberg. 1982-1995.
• Rosenberg, 1994. Inside the black box: technology and economics by Nathan Rosenberg.
• Rosenberg, 1996. Uncertainty and Technological Change, by Nathan Rosenberg.
• Rosenberg, 2007. Dreaming in Code by Scott Rosenberg.
• Shapiro and Varian, 1999. Information Rules: a strategic guide to the network economy by Carl Shapiro and Hal R. Varian.
• Stoneman, 2002. The Economics of Technological Diffusion by Paul Stoneman.
• Tushman and Anderson, 1986. Technological Discontinuities and Organizational Environments.
• Tushman and Anderson, 1991.
• von Hippel, 2005. Democratizing Innovation by Eric von Hippel.
• Weber, 2004. The Success of Open Source by Steven Weber.
• Williams, 2002. Free as in Freedom: Richard Stallman's Crusade for Free Software by Sam Williams.

to add

• Bijker Hughes Pinch 1989, ed., The Social Construction of Technological Systems. MIT.
• Andy Clark 2000, Mindware Oxford.
• Cowan 1989 Ruth Schwartz Cowan, More Work for Mother (Basic Books, 1989)
• Kuhn, 1962 The Structure of Scientific Revolutions 1st ed, 1962. (Chicago, 3rd ed., 1996)
• Noble 1986 David Noble, Forces of Production (Oxford, 1986)
• Tenner 1997 Edward Tenner. Why Things Bite Back (Vintage, 1997)
• Vincenti, 1993 Walter Vincenti. What Engineers Know and How They Know It (Johns Hopkins, 1993)
• Walsham 2001 Geoff Walsham, “The Emergence of Interpretivism in IS Research,” Information Systems Research (2001) 6: 4, 376-394. Available online at http://gkmc.utah.edu/7910F/papers/ISR%20emergence%20of%20interpretivism%20in%20IS%20research.pdf.
• Latour 1987. Science in action: How to follow scientists and engineers through society.

to add, later

• Michael Crotty, The Foundations of Social Research (Sage, 1998)
• Terry Eagleton, Literary Theory (Minnesota, 3rd ed., 2008)
• Peter Godfrey-Smith, Theory and Reality (Chicago, 2003)
• Karin Knorr-Cetina, Epistemic Cultures (Harvard, 1999)
• P.E. Vermaas et al., ed., Philosophy and Design (Springer, 2009)

cited as important for innovation in course by Bryan and Williams

• Rate and Direction of Inventive Activity, 1962 super insightful
• Arrow, 1962 - 's externalities papers in that volume -- Arrow's three key externalities of inovation
• Vannevar Bush, 1945
• Merton 1935 - Merton pere 1935 used counts of patent data by industry to trace the rise and fall of new techs
• Solow, 1957 decomposition: 87.5% of US GDP growth not attributable to labor or kapital but was residual
• Romer, 1986 solution: state of tech A is proportional to the rate of capital in SOCIETY. learning-by-doing spreads to society then
• Romer, 1990 - better solution than Romer 1986
• Romer, 1994
• Chamberlin, 1962
• quality ladder models
• Loury, 1979
• Reinganum 1983
• Weitzman, 1998
• Newhouse, 1992
• Aghion and Howitt, 1992
• Arrow's replacement effect
• Griliches, 1990 JEL
• cites Newhouse, 1992 on innovations in health care (maybe about spillovers)
• cites Krugman 1991 on why regions specialize in industry, saying Marshall had three such reasons, including knowledge spillotvers, but Krugman apparently said knowledge spillovers would be hard to measure compared to the others
• key author about patents: Zvi Griliches, which she pronounces 'Grill ih KEES'
• he quantified a lot here, with many collaborators
• cites JEL 1990 paper ; Griliches, 1990
• on patent statistics, see F.M. Schere (1965), NBER patent data, Yale (Levin et al 1987) and CMU (Cohen et al 2000) surveys
• Science Policy Research Unit at University of Sussex
• Hall-Jaffe-Trajtenberg, 2001 has over 4000 citations
• USPTO, patentsview.org, bulkdata.uspto.gov
• Berkes, 2016
• Andrews, 2020
• pitfalls of patent statistics: bias across areas, vary in quality, vary in value, and firms sometimes explicitly tie incen
• Levin et al, 1987
• Cohen et al, 2000
• Pakes, 1986
• Schankerman-Pakes, 1986
• Pekari, 1993 (in finnish) discussed by Toivanen-Vaananen, 2012