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Karim Lakhani's
Scholarly Papers
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Total Downloads
3,967 |
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Citations
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1.
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Karim R. Lakhani Harvard Business School Robert G. Wolf The Boston Consulting Group
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15 Sep 03
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02 Oct 07
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1,528 (2,354)
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Abstract:
In this paper we report on the results of a study of the effort and motivations of individuals to contributing to the creation of Free/Open Source software. We used a Web-based survey, administered to 684 software developers in 287 F/OSS projects, to learn what lies behind the effort put into such projects. Academic theorizing on individual motivations for participating in F/OSS projects has posited that external motivational factors in the form of extrinsic benefits (e.g.: better jobs, career advancement) are the main drivers of effort. We find in contrast, that enjoyment-based intrinsic motivation, namely how creative a person feels when working on the project, is the strongest and most pervasive driver. We also find that user need, intellectual stimulation derived from writing code, and improving programming skills are top motivators for project participation. A majority of our respondents are skilled and experienced professionals working in IT-related jobs, with approximately 40 percent being paid to participate in the F/OSS project.
open source, software development
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Karim R. Lakhani Harvard Business School Jill A. Panetta affiliation not provided to SSRN
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15 Oct 07
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15 Oct 07
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738 (8,118)
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Abstract:
Distributed innovation systems are an approach to organizing for innovation that seems to meet the challenge of accessing knowledge that resides outside the boundaries of any one organization. We provide an overview of distributed innovation systems that are achieving success in three different industries. We explore why people participate, the organizing principles of production, and the implications for intellectual property policy. Finally, the potential extensions and limitations of this alternative model of innovation are considered.
distributed innovation, intellectual property policy, principles
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Kevin Boudreau London Business School Nicola Lacetera Case Western Reserve University - Weatherhead School of Management Karim R. Lakhani Harvard Business School
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07 Sep 08
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27 Oct 08
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736 (8,144)
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This paper presents econometric evidence of two independent effects of adding more competitors on innovation: 1) a competition effect whereby increasing rivalry shapes, and often decreases, incentives to expend effort and invest in innovation; and 2) a parallel search effect whereby adding greater numbers of searchers benefits innovation by broadening the search for solutions. We further show the importance of these effects depends on the nature of the innovation problem being solved. The analysis uses data from TopCoder's software contest platform, on which elite software developers were assigned different problems to solve within assigned groups of direct competitors. Econometric relationships are identified by exploiting random assignment and a separate instrumental variables procedure.
competition, innovation, problem solving, search, complexity, distributed innovation, platforms
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Eric A. von Hippel Massachusetts Institute of Technology (MIT) - Sloan School of Management Karim R. Lakhani Harvard Business School
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19 Nov 01
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16 May 02
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604 (10,901)
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Abstract:
Open source software products represent the leading edge of innovation development and diffusion systems conducted for and by users themselves - no manufacturer required. Research into this phenomenon has so far focused on how the major tasks of software development are organized and motivated. But a complete user system requires the execution of "mundane but necessary" tasks as well. In this paper, we explore how the mundane but necessary task of field support for open source Apache server software is organized, and how and why users are motivated to participate in providing it. We find that the present system works well and that information providers are largely rewarded by benefits directly received from a related task. We also find, however, that the present help system is by and for only a few - and that changes would be needed if and as volume increases. General lessons for user-based innovation systems includes the clear willingness of users to openly reveal their proprietary information. This bodes well for the efficiency of user-only innovation systems. Open revealing is rational behavior if the information has low competitive value and/or if information providers think that other users know the same thing they do, and would reveal the information if they did not.
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Georg von Krogh ETH Zurich Sebastian Spaeth Universität St. Gallen Karim R. Lakhani Harvard Business School
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13 Mar 03
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30 Mar 05
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361 (21,904)
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Abstract:
This paper develops an inductive theory of the open source software innovation process by focusing on the creation of Freenet, a project aimed at developing a decentralized and anonymous peer-to-peer electronic file sharing network. We are particularly interested in the strategies and processes by which new people join the existing community of software developers and how they initially contribute code. Analyzing date from multiple sources on the Freenet software development process, we generate the constructs of "joining script", "specialization", "contribution barriers", and "feature gifts", and propose relationships among these. Implications for theory and research are discussed.
Open Source, Freenet, Innovation, Software Innovation
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Marco Iansiti Harvard Business School Karim R. Lakhani Harvard Business School
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22 May 09
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23 Jun 09
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0 (0)
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Abstract:
Business ecosystems require careful orchestration and strategic choices regarding make/buy/partner decisions and membership access. This case examines the strategic and technological issues related to managing SAP's thriving ecosystem of user communities, software vendors, integration partners and technology providers. It details how the ecosystem gets developed and the challenges in meeting the needs of the internal organization, large partners, and small up and coming firms. SAP executives, in this case, have to make a decision if a relatively small startup firm should be elevated to the highest strategic partnership level, normally reserved for very large firms.
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