Academic Publications: Knowledge Management

  • Visualization of Communication Patterns in Collaborative Innovation Networks

    Scott Dynes, Yan Zhoa, Peter Gloor, Rob Laubacher
    CDS Working Paper Series 2003-1

    Collaborative Innovation Networks (COINs) are groups of self-motivated individuals from various parts of an organization or from multiple organizations, empowered by the Internet, who work together on a new idea, driven by a common vision. In this paper we report first results of a project that examines innovation networks by analyzing the e-mail archives of some W3C (WWW consortium) working groups. These groups exhibit ideal characteristics for our purpose, as they form truly global networks working together over the Internet to develop next generation technologies. We first describe the software tools we developed to visualize the temporal communication flow, which represent communication patterns as directed acyclic graphs. We then show initial results, which revealed significant variations between the communication patterns and network structures of the different groups. We were also able to identify distinctive communication patterns among group leaders, both those who were officially appointed and other who were assuming unofficial coordinating roles.

    Paper in PDF Format (343K)

    Topics: Collaboration, Communications, Innovation, Knowledge Management, Social Media

  • Static and Dynamic Pricing of Excess Capacity in a Make-to-Order Environment

    David Pyke, Praveen K. Kopalle, Joseph M. Hall
    CDS Working Paper Series 2003-2

    The interactions between pricing and production/supply chain performance are not well understood. Can a firm benefit from knowing the status of the supply chain or production facility when making pricing decisions? How much can be gained if pricing decisions explicitly and optimally account for this status? This paper addresses these questions by examining a make-to-order manufacturer that serves two customer classes – core customers who pay a fixed negotiated price and are guaranteed job acceptance, and “fill-in” customers who make job submittal decisions based on the instantaneous price set by the firm for such orders. We examine four pricing policies that span a range of complexity and required knowledge about the status of the production system at the manufacturer, including the optimal policy of setting a different price for each possible state of the queue. We demonstrate properties of the optimal policy, and we illustrate numerically the financial gains a firm can achieve by following this policy vs. simpler pricing policies. The four policies we consider are (1) state-independent (static) pricing, (2) allowing fill-in orders only when the system is idle, (3) setting a uniform price up to a cut-off state, and (4) general state-dependent pricing. Although general state dependent pricing is optimal in this setting, we find that charging a uniform price up to a cut-off state performs quite well in many settings and presents an attractive trade-off between ease of implementation and profitability. Thus, a fairly simple heuristic policy may actually out-perform the optimal policy when costs of design and implementation are taken into account.

    Paper in PDF Format (190K)

    Topics: Knowledge Management, Manufacturing, Marketing, Process, Supply Chain

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