Presentation in PDF format - Center for Digital Strategies
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Presentation in PDF format - Center for Digital Strategies
Collaboration Rules Please note that to reduce file size, some non-essential but graphics-intensive elements have been deleted These materials are based in part on “Collaboration Rules’ by Philip Evans and Bob Wolf Harvard Business Review July-August 2005 pp 96-104. (This article can be downloaded at http://custom.hbsp.com/b01/en/implicit/p.jhtml?login=EVAN082905&pid=R0507H ) Other content is pre-publication. Therefore please do not redistribute or cite these materials Copyright © The Boston Consulting Group 2006 All rights reserved Please direct any comments or enquiries to the author: [email protected] 617 973-1286 Philip Evans The Boston Consulting Group Source: US Department of Defense satellite photographs Intensity of midnight illumination Low Copyright © The Boston Consulting Group 2006 All rights reserved High Bio-Tech Alliances 1988 1998 1995 1991 Links: R&D collaborations Financial links Joint commercialization Cross-licensing Nodes: Pharmaceutical corporations Dedicated bio-tech firms Venture capital firms Universities, research institutes Government institutes Source: W.W. Powell, D.R. White, K.W. Koput & J. Owen-Smith: ‘Evolution of a Science-Based Industry: Dynamic Analysis and Network Visualization of Biotechnology’ http://www.fek.umu.se./dpcc/powell.pdf Copyright © The Boston Consulting Group 2006 All rights reserved A Global Sales Organization HQ Staff Finance Marketing Sales Technical General Manager Source: BCG Analysis of client network Copyright © The Boston Consulting Group 2006 All rights reserved A Global Sales Organization ...without Headquarters Finance Marketing Sales Technical General Manager Source: BCG Analysis of client network Copyright © The Boston Consulting Group 2006 All rights reserved A Global Sales Organization ...without Headquarters ...without domestic links Finance Marketing Sales Technical General Manager Source: BCG Analysis of client network Copyright © The Boston Consulting Group 2006 All rights reserved The Physical Internet Source: Lumeta Corporation http://www.lumeta.com/graphics/wired.gif Copyright © The Boston Consulting Group 2005 2006 All rights reserved Self-Organization of the Physical Internet Degree-Frequency Distribution Frequency Probability of a router having the given number of direct connections 100 10-1 10-2 10-3 10-4 10-5 10-6 100 101 102 Degree Number of direct router connections Sample of 150,000 router interfaces and 200,000 adjacencies. Source: Govindan & Tangmunarunkit, Proceedings of the IEEE INFOCOM 2000 Vol 3 Copyright © The Boston Consulting Group 2006 All rights reserved 103 The Linux Kernel Programming Community Source: BCG analysis of the Linux Kernal Mailing Listserv http://www.ussq.iu.edu.hypermail/linux/kernet/ Copyright © The Boston Consulting Group 2006 All rights reserved ‘Self-Organization’ in the Linux Community Degree-Frequency Distribution Degree-Clustering Distribution 1 1 Probability that a programmer has the given number of 0.1 collaborative links or more Average Clustering coefficient Predicted by a Random Network Actual Predicted by a Random Network Actual 0.1 0.01 p 0.01 0.001 1 10 100 Degree: Number of Collaborative Links 1000 1 10 100 Degree: Number of Collaborative Links The ‘clustering coefficient’ of a node i is the probability that any two nodes connected to i, are connected to each other Source: BCG Analysis of the Linux Kernel collaboration patterns Copyright © The Boston Consulting Group 2006 All rights reserved 1000 Denso Denso Normal supply flow Toyota Emergency teaming Toyota Dispatch of parts, blueprints, workers Aisin Aisin Logistical coordination Emergency supply flow Units Kyoritsu Sangyo 16,000 14,000 12,000 10,000 8,000 6,000 4,000 2,000 Fri Sat 02/01/97 Network map is schematic Sources: Asahi Shinbun, Aisin Seiki: Sat Sun 02/01/97 Mon Tues Wed Wed 04/02/97 02/02/97 Sun 02/10/97 (Procedural Guide for the Emergency Resumption of Production) Copyright © The Boston Consulting Group 2006 All rights reserved Pagers Externally: A4 Reports Common Open licensing e-Mail, listservs e.g. Sourceforge, Slashdot Rich work ‘semantic’ Blogs discipline Swapping patent portfolios Wikis e.g. Wikipedia Licenses: GPL, Creative Commons Collaborative trust filtering e.g. eBay, Amazon Leakage viaand labor and capital markets TheftCertification: e.g. Verisign Broadcast, Trust Social software e.g. Friendster, LinkedIn ‘granular’ Internally: communication Multiplayer online game environments, e.g. Second Life Team-based rewards XML / Web services / Semantic Web Low transaction Rf ID costs Copyright © The Boston Consulting Group 2006 All rights reserved Pagers Externally: A4 Reports Common Open licensing e-Mail, listservs e.g. Sourceforge, Slashdot Rich work ‘semantic’ Blogs discipline Swapping patent portfolios Wikis e.g. Wikipedia Licenses: GPL, Creative Commons Scalable Low Collaborative trust and filtering e.g. eBay, Amazon Leakage via labor and capital transaction markets self-organizing TheftCertification: e.g. Verisign costs networks Broadcast, Trust Social software e.g. Friendster, LinkedIn ‘granular’ Internally: communication Multiplayer online game environments, e.g. Second Life Team-based rewards XML / Web services / Semantic Web Low transaction Rf ID costs Copyright © The Boston Consulting Group 2006 All rights reserved Procurement productivity (Inverse of transaction costs) (Dollar volume ($M) of parts purchased per person in procurement) 14 Toyota 12 10 Nissan 8 6 DaimlerChrysler Ford 4 2 GM 1 2 3 4 5 6 7 Automaker Trustworthiness (Mean score on 3 metrics of trust*) *Trust metrics: vendor ratings surveyed on a 7-point Likert scale: • Extent to which the supplier trusts the OEM to treat the supplier fairly • Extent to which the OEM has a reputation for trustworthiness • Extent to which the OEM would take unfair advantage of the supplier (reverse scored) Source: J Dyer: ‘The Role of Trustworthiness in Reducing Transaction Costs and Improving Performance’ Copyright © The Boston Consulting Group 2006 All rights reserved Value added per employee Index 1968=100 800 700 Toyota 600 500 Japanese Suppliers 400 300 US OEMs 200 US Suppliers 100 0 1968 1971 1974 1977 1980 1983 1986 1989 1992 1995 1998 2001 Source: BCG analysis, updating time series developed by M. Lieberman and S. Asaba: ‘Inventory Reduction and Productivity Growth: A Comparison of Japanese and US Automotive Sectors’, Managerial and Decision Economics, Vol 18, pp 73-85 (1997). Copyright © The Boston Consulting Group 2006 All rights reserved MMORPGs1: The Emergence Of ‘Peer Production’ z z 1,000 z z z z z Second Life (Including playerproduced content) 100 z z Programmer/ years (for coding and content development)(2) z z z z z z z z 100 The Godfather World of Warcraft, Sims 2 Star Wars Galaxies, Doom 3 Second Life (Platform Only) zz Log scale z z Most expensive movie 10 Later PS1, N64 titles Earlier PS1, N64 titles Voodoo 1 chip enables 3D content 1 10 z 1 Atari, VCS Games z Playstation 1 NES Games, arcade z 1980 1985 1990 1995 2000 2005 (1) Massively Multiplayer Online Role Playing Games (2) Implicit translation: one programmer year costs $100,000 Source: Linden Labs, BCG Analysis Copyright © The Boston Consulting Group 2006 All rights reserved ($M) Self-Organization in MMORPGs… Transactions Among Players of Second Life 100000 Numbers of players with the given number of transactions or fewer . Instant messaging traffic . Monetary exchanges 10000 1000 100 10 1 1 Data are for one week of transactions Source: Linden Labs, BCG analysis 10 100 1000 Number of transactions Copyright © The Boston Consulting Group 2006 All rights reserved 10000 …More Self-Organization in MMORPGs Links among Guild Sites Frequency Number of sites with the given level of connectivity (to other guild sites) or more 1 Everquest Dark Age of Camelot 0.1 0.01 0.001 1 10 100 1000 Degree Number of guild sites connected to the given site Source: BCG analysis, webcrawl data Copyright © The Boston Consulting Group 2006 All rights reserved Transaction Costs Competing Modes of Co-ordination Low Trust Scalable self-organizing networks Low transaction costs Power Contract High Small Large ‘Scalability’ (Potential Scale) Copyright © The Boston Consulting Group 2006 All rights reserved Technology enables large scale, human networks... • to be mapped, analyzed and influenced (new managerial tools) • to emerge (a new phenomenon) …within organizations, across organizations, and among customers These networks organize on a mixture of principles: IN: ALLOCATING RESOURCES VIA: • Contracts • Markets • Supply & Demand • Power • Hierarchies • Rational Planning • Trust • Teams or Clans • Emergent Modularity Such networks blur traditional distinctions: producer Q consumer, boss Q worker, work Q play These networks are advantaged in the production of knowledge goods, where very large scale, complexity, innovation and adaptability are the key priorities These networks drive, and are driven by, low transaction costs Copyright © The Boston Consulting Group 2006 All rights reserved Six Priorities Networks, as a lens and a phenomenon Contracts (markets) versus Power (hierarchies) versus Trust (teams or clans) Modularity, emergent and engineered Trusting supply chains: upstream and downstream User- or peer-created content Intellectual property: open versus closed Copyright © The Boston Consulting Group 2006 All rights reserved