Information Flow Structure in Large-Scale Product Development Organizational Networks

In recent years, understanding the structure and function of complex networks has become the foundation for explaining many different real- world complex social, information, biological and technological phenomena. Techniques from statistical physics have been successfully applied to the analysis of these networks, and have uncovered surprising statistical structural properties that have also been shown to have a major effect on their functionality, dynamics, robustness, and fragility. This paper examines, for the first time, the statistical properties of strategically important complex organizational information-based networks -- networks of people engaged in distributed product development -- and discusses the significance of these properties in providing insight into ways of improving the strategic and operational decision-making of the organization. We show that the patterns of information flows that are at the heart of large-scale product development networks have properties that are like those displayed by information, biological and technological networks. We believe that our new analysis methodology and empirical results are also relevant to other organizational information-based human or nonhuman networks.Large-scale product development, socio-technical systems, information systems, social networks, Innovation, complex engineering systems, distributed problem solving

Research Agenda for Studying Open Source II: View Through the Lens of Referent Discipline Theories

In a companion paper [Niederman et al., 2006] we presented a multi-level research agenda for studying information systems using open source software. This paper examines open source in terms of MIS and referent discipline theories that are the base needed for rigorous study of the research agenda

"Looking behind the veil": invisible corporate intangibles, stories, structure and the contextual information content of disclosure

Purpose – This paper aims to use a grounded theory approach to reveal that corporate private disclosure content has structure and this is critical in making "invisible" intangibles in corporate value creation visible to capital market participants. Design/methodology/approach – A grounded theory approach is used to develop novel empirical patterns concerning the nature of corporate disclosure content in the form of narrative. This is further developed using literature of value creation and of narrative. Findings – Structure to content is based on common underlying value creation and narrative structures, and the use of similar categories of corporate intangibles in corporate disclosure cases. It is also based on common change or response qualities of the value creation story as well as persistence in telling the core value creation story. The disclosure is a source of information per se and also creates an informed context for capital market participants to interpret the meaning of new events in a more informed way. Research limitations/implications – These insights into the structure of private disclosure content are different to the views of relevant information content implied in public disclosure means such as in financial reports or in the demands of stock exchanges for "material" or price sensitive information. They are also different to conventional academic concepts of (capital market) value relevance. Practical implications – This analysis further develops the grounded theory insights into disclosure content and could help improve new disclosure guidance by regulators. Originality/value – The insights create many new opportunities for developing theory and enhancing public disclosure content. The paper illustrates this potential by exploring new ways of measuring the value relevance of this novel form of contextual information and associated benchmarks. This connects value creation narrative to a conventional value relevance view and could stimulate new types of market event studies

EU Competition Policy, Vertical Restraints, and Innovation: An Analysis from an Evolutionary Perspective

The EU competition policy in regard to vertical restraints is mainly based upon neoclassical efficiency-oriented reasonings, leading to a neglect of the innovation dimension. This paper analyses to what extent evolutionary theories of competition and innovation economics can be used to derive additional, new criteria for the assessment of vertical restraints. It is shown that Neo- Schumpeterian and Hayekian approaches to competition and innovation economics as well as knowledge-based theories of the firm are capable to provide a basis for a different framework for analysing the impact of vertical agreements. Specific evolutionary arguments, such as subjective and local knowledge, the heterogeneity of knowledge bases of firms, communication and learning problems, and the complementarity of knowledge (systemic innovations) can be used for deriving additional, new assessment criteria for vertical restraints. The analysis is made against the background of the most recent reforms of EU competition rules in regard to vertical restraints. It also shows how evolutionary approaches to competition and innovation might be used for competition policy.European competition policy, vertical restraints, evolutionary economics, innovation economics.

Toward a process theory of entrepreneurship: revisiting opportunity identification and entrepreneurial actions

This dissertation studies the early development of new ventures and small business and the entrepreneurship process from initial ideas to viable ventures. I unpack the micro-foundations of entrepreneurial actions and new ventures’ investor communications through quality signals to finance their growth path. This dissertation includes two qualitative papers and one quantitative study. The qualitative papers employ an inductive multiple-case approach and include seven medical equipment manufacturers (new ventures) in a nascent market context (the mobile health industry) across six U.S. states and a secondary data analysis to understand the emergence of opportunities and the early development of new ventures. The quantitative research chapter includes 770 IPOs in the manufacturing industries in the U.S. and investigates the legitimation strategies of young ventures to gain resources from targeted resource-holders.Open Acces