Cited by 6Open Source Software InnovationsProduct Development and CustomizationService and Product Innovation

Satisfying heterogeneous user needs via innovation toolkits: the case of Apache Security Software

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Franke, Nikolaus, Hippel, Eric von·2003·Research Policy

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  • Debian, as well as other OSS communities like Apache or Linux, came up with new ways of organizing distributed work that differed from traditional work practices in professional organizations.

    “As a respond to mounting organizational challenges Debian as well as other OSS communities like Apache or Linux, came up with new ways of organizing distributed work that differed from traditional work practices as experienced in professional organizations (Franke and von Hippel, 2003, Lee and Cole, 2003, Moon and Sproull, 2000).”

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  1. Assael, H. and Poltrack, D.F. (1999), "Relating Products to TV Program Clusters", Journal of Advertising Research, 39, 2, pp. 41-52
  2. Barney, J.B. and Hoskisson, R.E. (1990): "Strategic Groups: Untested Assertions and Research Proposals", Managerial and Decision Economics 11, pp. 187-198
  3. Baron, Jonathan, Thinking and Deciding, Cambridge University Press, New York, 1988.
  4. Brown, T.C., Champ, P.A., Bishop, R.C., McCollum, D.W. (1996), "Which Response Format Reveals the Truth about Donations to a Public Good", Land Economics, 72, 2, pp. 152-166
  5. Cheng, P. and Black, R.T. (1998), "Geographic Diversification and Economic Fundamentals in Apartment Markets: A Demand Perspective", Journal of Real Estate Portfolio Management, 4, 2, pp. 93-105
  6. Donaldson, C., Thomas, R., Torgerson, D.J. (1997), "Validity of Open-Ended and Payment Scale Approaches to Eliciting Willingness to Pay", Applied Economics, 29, pp. 79-84.
  7. Dunne, J. and Turley, D. (1997), "Banking Schemes for Seniors-Bonus or Unwelcome Badge?", Irish Marketing Review, 10, 1, pp. 27-35
  8. Efron, B. (1979) Bootstrap Methods: Another Look at the Jackknife, The Annuals of Statistics, 7, pp. 1- 26.
  9. Gabor, A. and Granger, C. (1966), "Price as an Indicator of Quality", Economics, 33, pp. 43-70.
  10. Gibson, Lawrence D. (2001): What's wrong with conjoint analysis?, Marketing Research 13 (4), pp. 16-19)
  11. Green, P.E. (1971), A New Approach to Market Segmentation, Business Horizons, 20, February, pp. 61-73.
  12. Green, P.E. (1984): Hybrid Models for Conjoint Analysis: an exploratory review, Journal of Marketing Research 21 (May), pp. 155-169)
  13. Green, Paul E.; Krieger, Abba M. (1991): Segmenting Markets with Conjoint Analysis, Journal of Marketing 55 (4), pp. 20-31
  14. Green and Srinivasan, V. (1978a): Conjoint Analysis in Consumer Research: Issues and Outlook, Journal of Consumer Research 5 (September), pp. 103-123
  15. Green, P.E. / Srinivasan, V. (1978b): Conjoint Analysis in Marketing: New Developments with Implications for Research and Practice, Journal of Marketing 54 (4), pp. 3-19)
  16. Jimenez-Martinez, J. and Polo-Redondo, Y., (2001), "Key Variables in the EDI Adoption by Retail Firms", Technovation, 21, pp. 385-394.
  17. Ketchen, D.J., Jr. And Shook, C.L. (1996) "The Application of Cluster Analysis in Strategic Management Research: An Analysis and Critique", Strategic Management Journal, 17, 6, pp. 441-459.
  18. Leong, E.K.F., Huang, X. and Stanners, P.-J. (1998), "Comparing the Effectiveness of the Web Site with Traditional Media", Journal of Advertising Research, pp. 38, 5, pp. 44-51.
  19. Liechty, J., Tamaswamy, Cohen, S.H. (2001): Choice Menus for Mass Customization: An Experimental Approach for Analyzing Customer Demand with an Application to a Web-Based Information Service, Journal of Marketing Research, 38 (2), pp. 183-196.
  20. Lindsey, G. and Knaap, G. (1999), "Willingness to Pay for Urban Greenway Projects", Journal of the American Planning Association, 65, 3, pp. 297-313.
  21. Loomis, J., Brown, T., Lucero, B., Peterson, G. (1996), Improving Validity Experiments of Contingent Valuation Methods: Results of Efforts to Reduce the Disparity of Hypothetical and Actual Willingness to Pay", Land Economics, 72, 4, pp. 450-461.
  22. Milligan, G.W. and Cooper, M.C. (1985) "An Examination of Procedures for Determining the Number of Clusters in a Data Set", Psychometrica, 45, pp. 159-179.
  23. Neil, H., Cummings, R., Ganderton, P., Harrison, G., McGuckin, G. (1994), "Hypothetical Surveys and real Economic Commitments", Land Economics, 70, pp. 145-154.
  24. Pine, Joseph B. II. Mass Customization: The New Frontier in Business Competition, Cambridge, MA: Harvard Business School Press 1993.
  25. Portnov, B.A. and Pearlmutter, D. (1999), "Private Construction as a General Indicator of Urban Development: The Case of Israel", International Planning Studies, 4, 1, pp. 131-160.
  26. Punj, G., Stewart D.W. (1983), Cluster Analysis in Marketing Research: Review and Suggestions for Application, Journal of Marketing Research; 20, May, pp. 134-148.
  27. Raymond, Eric (2000) "The Cathedral and the Bazaar," O'Reilly Press
  28. Schaffer, Catherine M., Green, Paul E. (1998), Cluster-Based Market Segmentation: Some Further Comparisons of Alternative Approaches, The Journal of Marketing Research Society, 40 (2), pp. 155-163.
  29. Schaub, M. and Tokar, D.M. (1999), "Patterns of Expectations about Counseling: Relations to the Five-factor Model of Personality", Journal of Counseling and Development, 77, 2, pp. 177-188
  30. Seip, K., Strand, J. (1992), Willingness to Pay for Environmental Goods in Norway: A Contingent Valuation Study with Real Payment, Environmental and Resource Economics, 2, pp. 91-106.
  31. Thombs, D.L. and Osborn, C.J. (2001), "A Cluster Analytic Study of Clinical Orientations among Chemical Dependency Counselors", Journal of Counseling and Development, 79, 4, pp. 450-458
  32. Thomke, Stefan and Eric von Hippel (2002) "Customers As Innovators," Harvard Business Review (April).
  33. Toubia, O., Simester, D.I., Hauser, J.R. (2002): Fast polyhedral Adaptive Conjoint Estimation, MIT Working Paper von Hippel (1998) "Economics of Product Development by Users: The Impact of "Sticky" Local Information" Management Science, vol 44, No. 5 (May) p. 629-644
  34. von Hippel (1988) The Sources of Innovation, New York, NY, Oxford University Press
  35. von Hippel, Eric (2001a) "Perspective: User toolkits for innovation," The Journal of Product Innovation Management, 18, pp 247-257.
  36. von Hippel, Eric (2001b) "Innovation by User Communities: Learning from Open Source Software," Sloan Management Review (July).
  37. Wertenbroich, K. and Skiera (2001), "Measuring Consumer Willingness to Pay at the Point of Purchase", Journal of Marketing Research (forthcoming).
  38. Willis and Powe (1998) "Contingent Valuation and Real Economic Commitments: a Private Good Experiment", Journal of Environmental Planning and Management, 41, 5, pp. 611-619.
  39. Wind, Y. (1978), Issues and advances in segmentation research, Journal of Marketing Research, 15, August, pp. 317-37.
  40. Woodman, J.S., Clark, J. and Rimmington, M. (1996), "Productivity in Hospital Kitchens", Services Industries Journal, 16, 3, pp. 368ff. Appendix: Complete listing of web server security-related functions included in study questionnaire Basic Web Server Security Functionality: 1. Can change user access control list without restarting server;

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Authors
Franke, N., & Hippel, E. V.
Affiliations
  • Vienna University of Economics and Business (AT)
  • Massachusetts Institute of Technology (US)
Corresponding author
Franke, Nikolaus
Venue
Research Policy
Publisher
Elsevier BV
Published
2003-07
Volume
32
Issue
7
Pages
1199-1215
ISSN
0048-7333 (ISSN-L)
OpenAlex
W3122633468
Cited by
2
References
2
Citations by year
2020: 1
FWCI
0.00
Type
journal article
Language
en
Open access
Locations
  • Research Policy (publishedVersion)
  • DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion)
  • WU Research (submittedVersion, other-oa)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Science Applications › Open Source Software Innovations
  • Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Product Development and Customization
  • Social Sciences › Business, Management and Accounting › Marketing › Service and Product Innovation
Keywords
innovation toolkit, personalization, user satisfaction, product variants, open source software, software security, product innovation

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