Value of digital information networks: a holonic framework

  • António Madureira
  • Nico Baken
  • Harry Bouwman
Open Access


The worldwide extraordinary level of interest in digital information networks’ deployment among nations is due to the strong perception that they bring economic, social and environmental value. Our literature review on studies aiming at clarifying the value of information networks, led us to conclude that these studies take speculative, elusive or limited conclusions. We identify the requirements to capture the value of information networks and indicate a possible theoretical ground to account for it. Based upon this, we propose a framework operationalized with data from Eurostat. Furthermore, we identify the added-value of our framework with a precise and comprehensive comparison with two state of the art reference frameworks. We demonstrate that our framework provides significant conceptual added-value and, more fundamentally, allows for traditional measures of economic value (e.g. productivity and growth), as well as for other measures of value (e.g. social and environmental). Finally, we demonstrate with examples the wider application range of our framework in comparison with existing work.


Digital Information Network Evolution Framework Value 


  1. 1.
    ACIL Tasman (2004). Economic impacts of broadband adoption in Victoria. Technical report, ACIL Tasman.Google Scholar
  2. 2.
    Ackoff, R. (1981). On the use of models in corporate planning. Strategic Management Journal, 2(4), 353–359.CrossRefGoogle Scholar
  3. 3.
    Adelsberger, H. (2000). Economic coordination mechanisms for holonic multi-agent systems. In DEXA ’00: Proceedings of the 11th international workshop on database and expert systems applications (p. 236). IEEE Computer Society.Google Scholar
  4. 4.
    Adriaans, P. (2009). Between order and chaos: The quest for meaningful information. Theory of Computing Systems, 45(4), 650–674.CrossRefGoogle Scholar
  5. 5.
    Alavi, M., & Leidner, D. (2001). Review: Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Quarterly, 25(1), 107–136.CrossRefGoogle Scholar
  6. 6.
    Aral, S., Brynjolfsson, R., & Van Alstyne, M. (2008). Information, technology and information worker productivity: task level evidence. Working Paper Series, Social Science Research Network.Google Scholar
  7. 7.
    Atkins, P. (1984). The second law. New York: Scientific American Library.Google Scholar
  8. 8.
    Baron, J. (2004). Normative models of judgment and decision making. In Blackwell handbook of judgment and decision making (pp. 19–36). Blackwell Publishing.Google Scholar
  9. 9.
    Bartel, A., Ichniowski, C., & Shaw, K. (2007). How does information technology affect productivity? Plant-Level comparisons of product innovation, process improvement, and worker skills. The Quarterly Journal of Economics, 122(4), 1721–1758.CrossRefGoogle Scholar
  10. 10.
    Barua, A., & Mukhopadhyay, T. (2000). Information technology and business performance: Past, present, and future. In Framing the domains of IT management: Projecting the future through the past (pp. 65–84). Pinnaflex Education Resources, Cincinnati, OH.Google Scholar
  11. 11.
    Bateson, G. (1972). Steps to an ecology of mind. New York: Ballantine Books.Google Scholar
  12. 12.
    Beam, C., & Segev, A. (1998). Auctions on the internet: A field study. CITM Working Paper 98-WP-1032, Haas School of Business, University of California at Berkeley, Berkeley.Google Scholar
  13. 13.
    Bednar, J., & Page, S. (2007). Can game(s) theory explain culture? The emergence of cultural behavior within multiple games. Rationality and Society, 19(1), 65–97.CrossRefGoogle Scholar
  14. 14.
    Beesley, L., & Cooper, C. (2008). Defining knowledge management (KM) activities: Towards consensus. Journal of Knowledge Management, 12(3), 48–62.CrossRefGoogle Scholar
  15. 15.
    Bharadwaj, A. (2000). A resource-based perspective on information technology capability and firm performance: An empirical investigation. MIS Quarterly, 24(1), 169–196.CrossRefGoogle Scholar
  16. 16.
    Bhattacharjee, R., & Goel, A. (2005). Avoiding ballot stuffing in eBay-like reputation systems. In P2PECON ’05: Proceedings of the 2005 ACM SIGCOMM workshop on economics of Peer-to-Peer systems (pp. 133–137). ACM.Google Scholar
  17. 17.
    Blecker, T. (2003). Towards an production concept based on internet technologies. In Proceedings of the 6th international conference on industrial engineering and production management—IEPM’03 (Vol. 3, pp. 139–149).Google Scholar
  18. 18.
    Borges, A. (1986). Applied general equilibrium models: An assessment of their usefulness for policy analysis. Technical Report 7, Organisation for Economic Co-operation and Development.Google Scholar
  19. 19.
    Borgman, A. (1999). Holding on to reality: The nature of information at the turn of the millennium. The University of Chicago Press.Google Scholar
  20. 20.
    Bourdieu, P. (1984). Structures, habitus, practices. Stanford University Press.Google Scholar
  21. 21.
    Bouwman, H., van den Hooff, B., van de Wijngaert, L., & van Dijk, J. (2005). Information and communication technology in organizations: Adoption, implementation, use and effects. Sage Publications.Google Scholar
  22. 22.
    Bridgman, P. (1927). The logic of modern physics. The Macmillan Company.Google Scholar
  23. 23.
    Brussel, H. V., Wyns, J., Valckenaers, P., Bongaerts, L., & Peeters, P. (1998). Reference architecture for holonic manufacturing systems: PROSA. Computers in Industry, 37(3), 255–274.CrossRefGoogle Scholar
  24. 24.
    Brynjolfsson, E., & Hitt, L. (1996) Paradox lost? Firm-level evidence on the returns to information systems spending. Management Science, 42(4), 541–558.CrossRefGoogle Scholar
  25. 25.
    Brynjolfsson, E., & Hitt, L. (2000). Beyond computation: Information technology, organizational transformation and business performance. Journal of Economic Perspectives, 14(4), 23–48.CrossRefGoogle Scholar
  26. 26.
    Buckland, M. (1991). Information as thing. Journal of the American Society for Information Science, 42(5), 351–360.CrossRefGoogle Scholar
  27. 27.
    Bulkley, N., & Van Alstyne, M. (2004). Why information should influence productivity. Working Paper Series 202, MIT Sloan School of Management.Google Scholar
  28. 28.
    Burgin, M., & Simon, I. (2009). Information, energy, and evolution.
  29. 29.
    Burt, R. (1992). Structural holes, the social structure of competition. Harvard University Press.Google Scholar
  30. 30.
    Burt, R. (2000). The network structure of social capital. Research in Organizational Behaviour, 22, 345–423.CrossRefGoogle Scholar
  31. 31.
    Busetta, P., Howden, N., Rönnquist, R., & Hodgson, A. (2000). Structuring BDI agents in functional clusters. In ATAL ’99: 6th international workshop on intelligent agents VI, agent theories, architectures, and languages (ATAL) (pp. 277–289). Springer-Verlag.Google Scholar
  32. 32.
    Byrd, T., & Marshall, T. (1997). Relating information technology investment to organizational performance: A causal model analysis. Omega, 25(1), 43–56.CrossRefGoogle Scholar
  33. 33.
    Camillus, J. (1982). Reconciling logical incrementalism and synoptic formalism-an integrated approach to designing strategic planning processes. Strategic Management Journal, 3(3), 277–283.CrossRefGoogle Scholar
  34. 34.
    Carr, N. (2003). IT doesn’t matter. Harvard Business Review (pp.41–49).Google Scholar
  35. 35.
    Cassady, R. (1967). Auctions and auctioneering. University of California Press.Google Scholar
  36. 36.
    CEBR (2003). The economic impact of a competitive market for broadband. Technical Report, The Broadband Industry Group.Google Scholar
  37. 37.
    Cheng, F., Yang, H., & Lin, J. (2004). Development of holonic information coordination systems with failure-recovery considerations. IEEE Transactions on Automation Science and Engineering, 1(1), 58–72.CrossRefGoogle Scholar
  38. 38.
    Child, J. (1972). Organizational structure, environment and performance: The role of strategic choice. Sociology, 6(1), 1–22.CrossRefGoogle Scholar
  39. 39.
    Coleman, J. (1990). Foundations of social theory. The Belknap Press of Harvard University Press.Google Scholar
  40. 40.
    Consoli, A., Tweedale, J., & Jain, L. (2006). The link between agent coordination and cooperation. In Z. Shi, K. Shimohara, & D. Feng (Eds.), IFIP international federation for information processing. Intelligent information processing III (Vol. 228) Boston: Springer.Google Scholar
  41. 41.
    Cook, T., & Campbell, D. (1979). Quasi-experimentation: Design and analysis issues for field settings. Wadsworth Publishing.Google Scholar
  42. 42.
    Cooper, M., Lambert, D., & Pagh, J. (1997). Supply chain management: More than a new name for logistics. The International Journal of Logistics Management, 8(1), 1–14.CrossRefGoogle Scholar
  43. 43.
    Correa, L. (2006). The economic impact of telecommunications diffusion on UK productivity growth. Information Economics and Policy, 18(4), 385–404.CrossRefGoogle Scholar
  44. 44.
    Corso, M., & Paolucci, E. (2001). Fostering innovation and knowledge transfer in product development through information technology. International Journal of Technology Management, 22, 126–148.CrossRefGoogle Scholar
  45. 45.
    Crandall, R., Lehr, W., & Litan, R. (2007). The effects of broadband deployment on ontput and employment: A cross-sectional analysis of U.S. data. Brookings Institution Press.Google Scholar
  46. 46.
    Cronin, F., Parker, E., Colleran, E., & Gold, M. (1991). Telecommunications infrastructure and economic growth: An analysis of causality. Telecommunications Policy, 15(6), 529–535.CrossRefGoogle Scholar
  47. 47.
    Cyert, R., & March, J. (1963). A behavioural theory of the firm. Blackwell Publishers.Google Scholar
  48. 48.
    Datta, A., & Agarwal, S. (2004). Telecommunications and economic growth: A panel data approach. Applied Economics, 36(15), 1649–1654.CrossRefGoogle Scholar
  49. 49.
    Davis, S., & Bostrom, R. (1993). Training end users: An experimental investigation of the Roles of the computer interface and training methods. MIS Quarterly, 17(1), 61–85.CrossRefGoogle Scholar
  50. 50.
    Dignum, F., Meyer, J., Wieringa, R., & Kuiper, R. (1996). A modal approach to intentions, commitments and obligations: Intention plus commitment yields obligation. In Deontic logic, agency and normative systems (pp. 80–97). Springer-Verlag.Google Scholar
  51. 51.
    Dijk, M. V., & Mulder, M. (2005). Regulation of telecommunication and deployment of broadband. CPB Memoranda 131, CPB Netherlands Bureau for Economic Policy Analysis.Google Scholar
  52. 52.
    Dimaggio, P. (1997). Culture and cognition. Annual Review of Sociology, 23, 263–287.CrossRefGoogle Scholar
  53. 53.
    Doherty, N., & Perry, I. (2001). The cultural impact of workflow management systems in the financial services sector. The Service Industries Journal, 21, 147–166.CrossRefGoogle Scholar
  54. 54.
    Dopfer, K. (1986). Causality and consciousness in economics: Concepts of change in orthodox and heterodox economics. Journal of Economic Issues, 20(2), 509–523.Google Scholar
  55. 55.
    Dopfer, K. (2004). The economic agent as rule maker and rule user: Homo Sapiens oeconomicus. Journal of Evolutionary Economics, 14(2), 177–195.CrossRefGoogle Scholar
  56. 56.
    Duggal, V., Saltzman, C., & Klein, L. (2007). Infrastructure and productivity: An extension to private infrastructure and it productivity. Journal of Econometrics, 140(2), 485–502.CrossRefGoogle Scholar
  57. 57.
    Edmonson, A., Winsolow, A., Bohmer, R., & Pisano, G. (2003). Learning how and learning what: Effects of tacit and codified knowledge on performance improvement following technology adoption. Decision Sciences, 34(2), 197–223.CrossRefGoogle Scholar
  58. 58.
    Edwards, M. (2005). The integral holon: A holonomic approach to organisational change and transformation. Journal of Organizational Change Management, 18(3), 269–288.CrossRefGoogle Scholar
  59. 59.
    Eisenhardt, K., & Martin, J. (2000). Dynamic capabilities: What are they? Strategic Management Journal, 21(10/11), 1105–1111.CrossRefGoogle Scholar
  60. 60.
    Esteves, J., & Pastor, J. (2001). Enterprise resource planning systems research: An annotated bibliography. Communications of the AIS, 7(8), 2–54.Google Scholar
  61. 61.
    Eurostat (2010). ICT usage and e-Commerce. Accessed 22 November 2010.
  62. 62.
    Fagiolo, G., Moneta, A., & Windrum, P. (2007). A critical guide to empirical validation of agent-based models in economics: Methodologies, procedures, and open problems. Computational Economics, 30(3), 195–226.CrossRefGoogle Scholar
  63. 63.
    Farmer, J., & Foley, D. (2009). The economy needs agent-based modelling. Nature, 460(6), 685–686.CrossRefGoogle Scholar
  64. 64.
    Farr, R., & Moscovici, S. (1984). Social representations. Cambridge University Press.Google Scholar
  65. 65.
    Fehr, E. (2009). On the economics and biology of trust. Journal of the European Economic Association, 7(2–3), 235–266.CrossRefGoogle Scholar
  66. 66.
    Firth, L., & Mellor, D. (2005). Broadband: Benefits and problems. Telecommunications Policy, 29(2–3), 223–236.CrossRefGoogle Scholar
  67. 67.
    Fischer, K. (1999). Agent-based design of holonic manufacturing systems. Robotics and Autonomous Systems, 27(1), 3–13.CrossRefGoogle Scholar
  68. 68.
    Ford, G., & Koutsky, T. (2005) Broadband and economic development: A municipal case study from Florida. Applied Economic Studies, 17(3), 216–229.Google Scholar
  69. 69.
    Foster, J. (1997). The analytical foundations of evolutionary economics: From biological analogy to economic self-organization. Structural Change and Economic Dynamics, 8(4), 427–451.CrossRefGoogle Scholar
  70. 70.
    Freeman, C., & Louca, F. (2001). As time goes by: From the industrial revolutions to the information revolution. Oxford University Press.Google Scholar
  71. 71.
    Freiling, J., Gersch, M., & Goeke, C. (2008). On the path towards a competence-based theory of the firm. Organization Studies, 29(8–9), 1143–1164.CrossRefGoogle Scholar
  72. 72.
    Fritsch, M., & Kauffeld-Monz, M. (2008). The impact of network structure on knowledge transfer: An application of social network analysis in the context of regional innovation networks. The Annals of Regional Science, 44(1), 21–38.CrossRefGoogle Scholar
  73. 73.
    Garicano, L., & Kaplan, S. (2001). The effects of business-to-business e-Commerce on transaction costs. Journal of Industrial Economics, 49(4), 463–85.CrossRefGoogle Scholar
  74. 74.
    Giddens, A. (1993). New rules of sociological method: A positive critique of interpretative sociologies. Stanford University Press.Google Scholar
  75. 75.
    Gilbert, R. (1977). Valuation uncertainty and competitive bidding. Technical Report, University of California at Berkeley. Unpublished manuscript.Google Scholar
  76. 76.
    Glaser, R. (1984). Education and thinking: The role of knowledge. American Psychologist, 39(2), 93–104.CrossRefGoogle Scholar
  77. 77.
    Glockner, A., & Betsch, T. (2008). Modelling option and strategy choices with connectionist networks: Towards an integrative model of automatic and deliberate decision making. Judgment and Decision Making, 3(3), 215–228.Google Scholar
  78. 78.
    Greenstein, S., & McDevitt, R. (2009). The broadband bonus: Accounting for broadband internet’s impact on U.S. GDP. NBER Working Papers 14758, National Bureau of Economic Research, Inc.Google Scholar
  79. 79.
    Greenstein, S., & Spiller, P. (1995). Modern telecommunications infrastructure and economic activity: An empirical investigation. Industrial and Corporate Change, 4(4), 647–665.CrossRefGoogle Scholar
  80. 80.
    Gulati, R., & Gargiulo, M. (1999). Where do interorganizational networks come from? The American Journal of Sociology, 104(5), 1439–1493.CrossRefGoogle Scholar
  81. 81.
    Hardy, A. (1980). The role of the telephone in economic development. Telecommunications Policy, 4(4), 278–286.CrossRefGoogle Scholar
  82. 82.
    Hayek, F. (1985). Richard Cantillon. Journal of Libertarian Studies, 7(2), 217–247.Google Scholar
  83. 83.
    Helfat, C., Finkelstein, S., Mitchell, W., Peteraf, M., Singh, H., Teece, D., et al. (2007). Dynamic capabilities: Understanding strategic change in organizations. Wiley-Blackwell.Google Scholar
  84. 84.
    Hendricks, K., Singhal, V., & Stratman, J. (2007). The impact of enterprise systems on corporate performance: A study of ERP, SCM, and CRM system implementations. Journal of Operations Management, 25, 65–82.CrossRefGoogle Scholar
  85. 85.
    Hitt, L., & Brynjolfsson, E. (1996). Productivity, business profitability, and consumer surplus: Three different measures of information technology value. MIS Quarterly, 20(2), 121–142.CrossRefGoogle Scholar
  86. 86.
    Hitt, L., Wu, D., & Zhou, X. (2002). Investment in enterprise resource planning: Business impact and productivity measures. Journal of Management Information Systems, 19(1), 71–98.CrossRefGoogle Scholar
  87. 87.
    Hofstede, G. (1980). Culture’s consequences: International differences in work-related values. Beverly Hills: Sage.Google Scholar
  88. 88.
    Hommel, B., Musseler, J., Aschersleben, G., & Prinz, W. (2001). The theory of event coding (TEC): A framework for perception and action planning. Behavioral and Brain Sciences, 24(5), 849–878.CrossRefGoogle Scholar
  89. 89.
    Honma, N., Abe, K., Sato, M., & Takeda, H. (1998). Adaptive evolution of holon networks by an autonomous decentralized method. Applied Mathematics and Computation, 91(1), 43–61.CrossRefGoogle Scholar
  90. 90.
    Horne, C. (2001). Sociological perspectives on the emergence of norms. In Social norms (pp. 3–34). Russell Sage Foundation.Google Scholar
  91. 91.
    Huff, A., & Reger, R. (1987). A review of strategic process research. Journal of Management, 13(2), 211–236.CrossRefGoogle Scholar
  92. 92.
    Jevons, S. (1988). The theory of political economy. Lincoln-Rembrandt Pub.Google Scholar
  93. 93.
    Kagami, M., Tsuji, M., & Giovannetti, E. (2004). Information technology policy and the digital divide: Lessons for developing countries. Edward Elgar Publishing.Google Scholar
  94. 94.
    Kallinikos, J. (2006). Information out of information: On the self-referential dynamics of information growth. Information Technology & People, 19(1), 98–115.CrossRefGoogle Scholar
  95. 95.
    Kandampully, J. (2002). Innovation as the core competency of a service organisation: The role of technology, knowledge and networks. European Journal of Innovation Management, 5(1), 18–26.CrossRefGoogle Scholar
  96. 96.
    Katz, R., Vaterlaus, S., Zenhausern, P., Suter, S., & Mahler, P. (2009). The impact of broadband on jobs and the German economy. Technical Report, Deutsche Telekom AG.Google Scholar
  97. 97.
    Kelley, M. (1994) Productivity and information technology: The elusive connection. Management Science, 40, 1406–1425.CrossRefGoogle Scholar
  98. 98.
    Koestler, A. (1967). The ghost in the machine. Springer.Google Scholar
  99. 99.
    Kohler, W. (1947). Gestalt psychology: An introduction to new concepts in modern psychology. New York: Liveright.Google Scholar
  100. 100.
    Koutroumpis, P. (2009). The economic impact of broadband on growth: A simultaneous approach. Telecommunications Policy, 33(9), 471–485.CrossRefGoogle Scholar
  101. 101.
    Lawrence, K. (2009). Internet-based community networks: Finding the social in social networks. In J. Golbeck (Ed.), Computing with social trust, human-computer interaction series (pp. 313–331). London: Springer.Google Scholar
  102. 102.
    Lee, S., & Treacy, M. (1988). Information technology impacts on innovation. R&D Management, 18(3), 257–271.CrossRefGoogle Scholar
  103. 103.
    Leff, N. (1984). Externalities, information costs, and social benefit-cost analysis for economic development: An example from telecommunications. Economic Development and Cultural Change, 32(2), 255.CrossRefGoogle Scholar
  104. 104.
    Lehr, W., Gillett, S., Osorio, C., & Sirbu, M. (2006). Measuring broadband’s economic impact. Broadband properties (pp. 12–24).Google Scholar
  105. 105.
    Levy, A., & Weld, D. (2000). Intelligent internet systems. Artificial Intelligence, 118(1–2), 1–14.CrossRefGoogle Scholar
  106. 106.
    Lucking-Reiley, D. (2000). Auctions on the internet: What’s being auctioned, and how? Journal of Industrial Economics, 48(3), 227–52.CrossRefGoogle Scholar
  107. 107.
    Madden, G., & Savage, S. (1998). CEE telecommunications investment and economic growth. Information Economics and Policy, 10(2), 173–195.CrossRefGoogle Scholar
  108. 108.
    Madden, G., & Savage, S. (2000). Telecommunications and economic growth. International Journal of Social Economics, 27(7/8/9/10), 893–906.CrossRefGoogle Scholar
  109. 109.
    Madon, S. (1992). Computer-based information systems for development planning: The significance of cultural factors. Journal of Strategic Information Systems, 1(5), 250–257.CrossRefGoogle Scholar
  110. 110.
    Madureira, A., Baken, N., & Bouwman, H. (2010). Origin of value through information networks: A framework from an evolutionary holonic perspective. In Proceedings of the 18th Biennial conference of the international telecommunications society. Tokyo, Japan. Distinguished as one of the best student papers.Google Scholar
  111. 111.
    Madureira, A., den Hartog, F., Silva, E., & Baken, N. (2010). Model for trans-sector digital interoperability. In Proceedings of the 6th international conference interoperability for enterprise software and applications. Springer-Verlag.Google Scholar
  112. 112.
    Madureira, A., van Boven, E., & Baken, N. (2009). Towards systematic development of trans-sector digital innovations. In Proceedings of the international conference on infrastructure systems and services. IEEE.Google Scholar
  113. 113.
    Malone, T., & Crowston, K. (1994). The interdisciplinary study of coordination. ACM Computing Surveys, 26(1), 87–119.CrossRefGoogle Scholar
  114. 114.
    March, J., & Simon, H. (1958). Organizations. New York: John Wiley.Google Scholar
  115. 115.
    Martin, J. (1992). Cultures in organizations: Three perspectives. Oxford University Press.Google Scholar
  116. 116.
    Marx, K., & Engels, F. (1998). The communist manifesto. Signet Classics.Google Scholar
  117. 117.
    Melville, N., Kraemer, K., & Gurbaxani, V. (1994). Review: Information technology and organizational performance: An integrative model of IT business value. MIS Quarterly, 28(2), 283–322.Google Scholar
  118. 118.
    Mentzer, J., DeWitt, W., Keebler, K., Min, S., Nix, N., Smith, C., et al. (2001). Defining supply chain management. Journal of Business Analysts, 22(2), 1–25.Google Scholar
  119. 119.
    Metcalfe, J. (1998). Evolutionary economics and creative destruction. New York: Routledge.CrossRefGoogle Scholar
  120. 120.
    Milgrom, P. (1989). Auctions and bidding: A primer. Journal of Economic Perspectives, 3(3), 3–22.Google Scholar
  121. 121.
    Miller, G. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63, 81–97.CrossRefGoogle Scholar
  122. 122.
    Mitra, S., & Chaya, A. (1996). Analyzing cost-effectiveness of organizations: The impact of information technology spending. Journal of Management Information Systems, 13(2), 29–57.Google Scholar
  123. 123.
    Montanari, J. (1978). Managerial discretion: An expanded model of organization choice. The Academy of Management Review, 3(2), 231–241.Google Scholar
  124. 124.
    Nelson, R., & Winter, S. (1985). Evolutionary theory of economic change. Belknap Press.Google Scholar
  125. 125.
    Neumann, O. (1989). Kognitive Vermittlung und direkte Parameterspezifikation: Zum Problem mentaler Repräsentation in der Wahrnehmung. Sprache und Kognition, 8, 32–49.Google Scholar
  126. 126.
    Neumann, O. (1990). Direct parameter specification and the concept of perception. Psychological Research, 52(2), 207–215.CrossRefGoogle Scholar
  127. 127.
    Newell, B., & Broder, A. (2008). Cognitive processes, models and metaphors in decision research. Judgment and Decision Making, 3, 195–204.Google Scholar
  128. 128.
    Nielsen Media (1997). Search engines most popular method of surfing the web. Technical report, Commerce Net/Nielsen Media.Google Scholar
  129. 129.
    OECD (2001). The development of broadband access in OECD countries. Technical Report, Organisation for Economic Co-operation and Development.Google Scholar
  130. 130.
    Ostrom, T. (1988). Computer simulation: The third symbol system. Journal of Experimental Social Psychology, 24, 381–392.CrossRefGoogle Scholar
  131. 131.
    Payan, J. (2007). A review and delineation of cooperation and coordination in marketing channels. European Business Review, 19(3), 216–233.CrossRefGoogle Scholar
  132. 132.
    Payne, J., Bettman, J., & Johnson, E. (1993). The adaptive decision maker. Cambridge University Press.Google Scholar
  133. 133.
    Perez, C. (2003). Technological revolutions and financial capital: The dynamics of bubbles and golden ages. Edward Elgar Pub.Google Scholar
  134. 134.
    Peters, R., & Többen, H. (2005). A reference-model for holonic supply chain management. In Lecture Notes in Computer Science (Vol. 3593, pp. 221–232). Berlin: Springer.Google Scholar
  135. 135.
    Pettigrew, A. (1979). On studying organizational cultures. Academy of Management Review, 24(4), 570–581.Google Scholar
  136. 136.
    Piaget, J., & Duckworth, E. (1970). Genetic epistemology. American Behavioral Scientist, 13(3), 459–480.CrossRefGoogle Scholar
  137. 137.
    Popper, M. (2007). Normativity: Approaches, polemics, problems. Human Affairs, 17(1), 3–9.CrossRefGoogle Scholar
  138. 138.
    Prahalad, C., & Hamel, G. (1990). The core competence of the corporation. Harvard Business Review, 68(3), 79–91.Google Scholar
  139. 139.
    Price, G. (1995). The nature of selection. Journal of Theoretical Biology, 175(3), 389–396.CrossRefGoogle Scholar
  140. 140.
    Read, S., Vanman, E., & Miller, L. (1997). Connectionism, parallel constraint satisfaction processes, and gestalt principles: (Re)Introducing cognitive dynamics to social psychology. Personality and Social Psychology Review, 1(1), 26–53.CrossRefGoogle Scholar
  141. 141.
    Röller, L., & Waverman, L. (2001). Telecommunications infrastructure and economic development: A simultaneous approach. The American Economic Review, 91(4), 909–923.CrossRefGoogle Scholar
  142. 142.
    Romanelli, E., & Tushman, M. (1986). Inertia, environments and strategic choice: A quasi-experimental design for comparative-longitudinal research. Management Science, 32(5), 608–621.CrossRefGoogle Scholar
  143. 143.
    Rumelhart, D., & McClelland, J. (1986). Parallel distributed processing: Explorations in the microstructure of cognition: Foundations (Vol. 1). Bradford: MIT Press.Google Scholar
  144. 144.
    Sambamurthy, V., Bharadwaj, A., & Grover, V. (2003). Shaping agility through digital options: Reconceptualizing the role of information technology in contemporary firms. MIS Quarterly, 27(2), 237–263.Google Scholar
  145. 145.
    Samuels, W. (1993). Thorstein Veblen and the place of science. Society, 30(2), 76–82.CrossRefGoogle Scholar
  146. 146.
    Santos, B. D., Peffers, K., & Mauer, D. (1993). The impact of information technology investment announcements on the market value of the firm. Information Systems Research, 4(1), 1–23.CrossRefGoogle Scholar
  147. 147.
    Schiller, R. (2003). The new financial order. Princeton University Press.Google Scholar
  148. 148.
    Senge, P. (1984). The fifth discipline. New York: Doubleday.Google Scholar
  149. 149.
    Shannon, C. (1949). The mathematical theory of communication. University of Illinois Press.Google Scholar
  150. 150.
    Shideler, D., Badasyan, N., & Taylor, L. (2007). The economic impact of broadband deployment in Kentucky. Regional Economic Development, 3(2), 88–118.Google Scholar
  151. 151.
    Shiu, A., & Lam, P. (2008). Causal relationship between telecommunications and economic growth in China and its regions. Regional Studies, 42(5), 705–718.CrossRefGoogle Scholar
  152. 152.
    Shubik, M. (1971). The dollar auction game: A paradox in noncooperative behavior and escalation. Journal of Conflict Resolution, 15(1), 109–111.CrossRefGoogle Scholar
  153. 153.
    Simon, D., & Holyoak, K. (2002). Structural dynamics of cognition: From consistency theories to constraint satisfaction. Personality and Social Psychology Review, 6(4), 283–294.CrossRefGoogle Scholar
  154. 154.
    Simon, H. (1956). Rational choice and the structure of the environment. Psychological Review, 63(2), 129–138.CrossRefGoogle Scholar
  155. 155.
    Sin, L., Tse, A., & Yim, F. (2005). CRM: Conceptualization and scale development. European Journal of Marketing, 39(11/12), 1264–1290.CrossRefGoogle Scholar
  156. 156.
    Sircar, S., Turnbow, J., & Bordoloi, B. (2000). A framework for assessing the relationship between information technology investments and firm performance. Journal of Management Information Systems, 16(4), 69–97.Google Scholar
  157. 157.
    Smith, A. (1776). Wealth of nations. Prometheus Books.Google Scholar
  158. 158.
    Smith, E., & Conrey, F. (2007). Agent-based modeling: A new approach for theory building in social psychology. Personality and Social Psychology Review, 11(1), 87–104.CrossRefGoogle Scholar
  159. 159.
    Solow, R. (1956). A contribution to the theory of economic growth. The Quarterly Journal of Economics, 70(1), 65–94.CrossRefGoogle Scholar
  160. 160.
    Sridhar, K., & Sridhar, V. (2004). Telecommunications infrastructure and economic growth: Evidence from developing countries. Working Papers 04/14, National Institute of Public Finance and Policy.Google Scholar
  161. 161.
    Stevenson, W., & Greenberg, D. (2000). Agency and social networks: Strategies of action in a social structure of position, opposition, and opportunity. Administrative Science Quarterly, 45(4), 651–678.CrossRefGoogle Scholar
  162. 162.
    Stewart, J. (1996). Cognition = life: Implications for higher-level cognition. Behavioural Processes, 35(1–3), 311–326.Google Scholar
  163. 163.
    Stiroh, K. (2002). Information technology and the U.S. productivity revival: What do the industry data say? American Economic Review, 92(5), 1559–1576.CrossRefGoogle Scholar
  164. 164.
    Swidler, A. (1986). Culture in action: Symbols and strategies. American Sociological Review, 51(2), 273–286.CrossRefGoogle Scholar
  165. 165.
    Swidler, A. (1997). Talk of love: How Americans use their culture. Chicago University Press.Google Scholar
  166. 166.
    Thagard, P. (1989). Explanatory coherence. Behavioral and Brain Sciences, 12(3), 435–466.CrossRefGoogle Scholar
  167. 167.
    Thatcher, M., & Oliver, J. (2001). The impact of technology investments on a firm’s production efficiency, product quality, and productivity. Journal of Management Information Systems, 18(2), 17–45.Google Scholar
  168. 168.
    Thompson, H., & Garbacz, C. (2007). Mobile, fixed line and internet service effects on global productive efficiency. Information Economics and Policy, 19(2), 189–214.CrossRefGoogle Scholar
  169. 169.
    Thompson, H., & Garbacz, C. (2008). Broadband impacts on state GDP: Direct and indirects impacts. International Telecommunications Society 17th Biennial Conference, Canada.Google Scholar
  170. 170.
    Umpleby, S. (2007). Physical relationships among matter, energy and information. Systems Research and Behavioral Science, 24(3), 369–372.CrossRefGoogle Scholar
  171. 171.
    Van Alstyne, M. (1999). A proposal for valuing information and instrumental goods. In ICIS ’99: Proceedings of the 20th international conference on information systems (pp. 328–345). Association for Information Systems.Google Scholar
  172. 172.
    Veblen, T. (1900). The preconceptions of economic science. Quarterly Journal of Economics, 14(2), 240–269.CrossRefGoogle Scholar
  173. 173.
    Verhagen, T., & Dolen, W. (2009). The influence of online store characteristics on consumer impulsive decision-making: A model and empirical application. Serie Research Memoranda 0046, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.Google Scholar
  174. 174.
    Wade, M., & Hulland, J. (2004). The resource-based view and information systems research: Review, extension, and suggestions for future research. MIS Quarterly, 28(1), 107–142.Google Scholar
  175. 175.
    Weiss, A. (2009). Smart infrastructure matches supply and demand. netWorker, 13(3), 18–25.CrossRefGoogle Scholar
  176. 176.
    Wicklund, R., & Brehm, J. (1976). Perspectives on cognitive dissonance. Hillsdale: Lawrence Erlbaum.Google Scholar
  177. 177.
    Wilson, C. (1996). Instruments and ideologies: The social construction of knowledge and its critics. American Philosophical Quarterly, 33(2), 167–178.Google Scholar
  178. 178.
    World Bank (1998). Telecommunications sector review. Technical Report 18455-LE, World Bank.Google Scholar
  179. 179.
    Zaheer, A., & Soda, G. (2009). Network evolution: The origins of structural holes. Administrative Science Quarterly, 54(1), 1–31.CrossRefGoogle Scholar
  180. 180.
    Zaheer, A., & Venkatraman, N. (1994). Determinants of electronic integration in the insurance industry: An empirical test. Management Science, 40(5), 549–566.CrossRefGoogle Scholar
  181. 181.
    Zand, F., & van Beers, C. (2010). Performance effects of enterprise application software: New insights into the mediating role of innovation. In Proceedings of the 13th international business information management association (IBIMA) conference on knowledge management and innovation in advancing economies.Google Scholar

Copyright information

© The Author(s) 2011

Authors and Affiliations

  • António Madureira
    • 1
  • Nico Baken
    • 1
    • 2
  • Harry Bouwman
    • 3
  1. 1.Network Architectures and Services (NAS) GroupDelft University of TechnologyDelftThe Netherlands
  2. 2.Corporate Strategy and Innovation DepartmentRoyal KPNDen HaagThe Netherlands
  3. 3.Faculty of Technology, Policy, and Management, Section of Information & Communication TechnologyDelft University of TechnologyDelftThe Netherlands

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