This document provides information about an advanced PhD course in Innovation Management to be held from May 11-13, 2015. The course will examine how companies leverage distributed sources of innovation from communities and crowds. It will develop conceptual frameworks for analyzing the relationships between communities, firms, and technology platforms. The course will cover topics like user innovation, innovation contests, crowdsourcing, digital platforms, big data, and crowdfunding. It will include lectures, discussions, exercises, and student presentations. The goal is for students to understand current debates and apply relevant theories to the study of advanced technology and innovation management.

1. Innovation Management –
advanced (11 - 13 May 2015)
FACULTY
Lars Bo Jeppesen
COURSE COORDINATOR
Lars Bo Jeppesen
PREREQUISITES
Basic knowledge of theories relatedto economics, management, technology, innovation, and organizations. It is a requirement for receiving
the course diploma that the student attendthe entire course.
AIM
Bringing students to the forefront of the fieldof technology andinnovation management.
INDHOLD
This is an advanced PhD course in Technology andInnovation Management. It takes its point of departure in the fact that Innovation
increasingly takes place through communities and platforms driven by “crowds” of developers and problem solvers. At the same time their
outputs and products of the crowd contexts have come to shape the daily life of many of the world’s inhabitants. In some of the most
dynamic sectors of the modern economy, such as, apps for smartphones, video games, media content, scientific andtechnical pr oblems
solving, companies’ overall performance already rely on individuals locatedoutside the organization to become crucial sources of modules,
ideas, tasks, and procedures. In recent research the labels used to describe these phenomena are among other user Innovation, innovation
Contests and crowdsourcing, technology, digital economy, crowdfunding, and ”big data. In their attempts to access andleverage these
sources of innovation it is now quite common for companies to employ more open forms of innovation combinedwith digital interaction,
and try to “orchestrate” innovative communities. While these “open approaches” have rapidly diffused, creating a wealth of op portunities, it
is obviously crucial to understand how companies manage to access and leverage these distributed sources of innovation. From this point of
departure, the course will develop the conceptual foundations, frameworks and methods for analyzing the relationships between communities
and firms.
TEACHING STYLE
Lectures, class discussion, exercises, student presentations.
LEARNING OBJECTIVES
To understand the current debates around advanced topic of Technology andinnovation management such as digital economy, comm unity
based innovation, strategy andmanagement in these contexts.
Be able to demonstrate knowledge of relevant theories by explaining their assumptions, causal dynamics and processes.
Be able to demonstrate knowledge of the conceptual foundations, frameworks and methods relevant to the study of advanced tech nology and
innovation management
LECTURE PLAN
I. The Role of Users in Innovation
 von Hippel, (2005) DemocratizingInnovation, MIT Press, Chapter 1
 von Hippel, (1986) Lead users: a source of novel product concepts, Management Science, 32 (7) (*)
 Lilien, G.L., Morrison, P.D., Searls, K., Sonnack, M., and von Hippel, E. (2002) Performance Assessment of the, Lead User Idea-
Generation Process for New Product Development”, Management Science, 48 (8), pp. 1042 -1059.

2.  Lakhani, Karim R. and Robert Wolf. "Why Hackers Do What They Do: Understanding Motivation andEffort in Free/Open Source
Software Projects." In Perspectives on Free and Open Source Software, edited by Joe Feller, Brian Fitzgerald, Scott Hissam an d Karim
Lakhani. Cambridge, Mass: MIT Press, 2005.
 Jeppesen, L.B. and Frederiksen, L., (2006) Why do users contribute to firm-hosteduser communities? The case of computer-controlled
music instruments. Organization Science. Vol 17 (1), 45-64.
II. Contests as Vehicles of Problem Solving and Innovation
 Jeppesen, L.B. and Lakhani, K.R., (2010) Marginality andProblem Solving Effectiveness in Broadcast Search, Organization Science, 21
(5) 1016-1033
 Boudreau, Kevin J., Nicola Lacetera, and Karim R. Lakhani. (2011) "Incentives andProblem Uncertainty in Innovation Contests: An
Empirical Analysis." Management Science 57, no. 5 (May 2011): 843-863.
 Afuah, Allan N., and Christopher L. Tucci, (2012), Crowdsourcing as a Solution to Distant Search, Academy of Management Revie w,
37(3)
 Bayus BL. 2013. Crowdsourcing new product ideas over time: An analysis of the Dell IdeaStorm Community. Management Science,
59(1), 226-244.
 Franzoni C., Sauermann H. Crowd Science: The Organization of Scientific Research in Open Collaborative Projects, Research Policy,
forthcoming.
III. Technology Platforms with Professionals and Hobbyists Involved
 Boudreau, K. Let a Thousand Flowers Bloom? An Early Look at Large Numbers of Software “Apps” Developers and Patterns of
Innovation. Organization Science
 Boudreau, K. and L. Jeppesen. CompetingWith A Crowd: Informally Organized Individuals As Platform
Complementors. http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1812084
 Zhang X, F. Zhu. 2011. Group size and incentives to contribute: A natural experiment at Chinese Wikipedia. American Economic
Review 101(4): 1601–15.
IV. Digital Economy
 Greenstein, S., Lerner J., S Stern, 2013 Digitization, innovation, andcopyright: What is the agenda? Strategic Organization, (11) 110.
110-121
 Yoo Y, Boland R, Lyytinen K, Majchrzak A. 2012. Organizing for innovation in a digital world. Organization Science 23(5):1398 –
1408.
V. Crowdfunding
 Burtch, G., Ghose, A, S Wattal 2013, An Empirical Examination of the Antecedents andConsequences of Contribution Patter ns in
Crowd-Funded Markets, Information Systems Research 24 (3), 499-519
 Mollick, E., The dynamics of crowdfunding: Determinants of success and
failurehttp://papers.ssrn.com/sol3/papers.cfm?abstract_id=2088298
VI. Big Data – Opportunities and Challenges
 Varian, H. R., Computer Mediated Transactions, March 6, 2010;http://people.ischool.berkeley.edu/~hal/Papers/2010/cmt.pdf
 Edelman, B., 2012, Using Internet Data for Economic Research, Journal of Economic Perspectives 26 (2) pp. 189 –206 (*)
 Chen, H., Chiang RHL. VC. Storey, 2012, Business Intelligence And Analytics: From Big Data To Big Impact, MIS Quarterly 36 (4),
pp. 1165-1188
 Brynjolfsson, Erik and Geva, Tomer and Reichman, Shachar, Crowd-Squared: Amplifying the Predictive Power of Large-Scale Crowd-
Based Data (October 22, 2014). Available at SSRN:http://ssrn.com/abstract=2513559
PHD SCHOOL
PhD School in Economics and Management
AFDELING
Department of Innovation andOrganizational Economics
LOKATION
Copenhagen Business School
Kilevej 14A
2000 Frederiksberg

3. Room: K3.41
Time: 9 am - 4 pm each day
ENROLL NO LATER THAN
Fredag, 27 marts, 2015 - 12:00