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This study explores the premise that knowledge in new product development proves both a barrier to and a source of innovation. To understand the problematic nature of knowledge and the boundaries that result, an ethnographic study was used to understand how knowledge is structured differently across the four primary functions that are dependent on each other in the creation and production of a high-volume product. A pragmatic view of “knowledge in practice ” is developed, describing knowledge as localized, embedded, and invested within a function and how, when working across functions, consequences often arise that generate problematic knowledge boundaries. The use of a boundary object is then described as a means of representing, learning about, and transforming knowledge to resolve the consequences that exist at a given boundary. Finally, this pragmatic view of knowledge and boundaries is proposed as a framework to revisit the differentiation and integration of knowledge.

Despite significant progress in evaluating the productivity payoffs from information technology (IT), the inability of traditional firm-level economic analysis to fully account for the intangible impacts of IT has led to calls for a more inclusive and comprehensive approach to measuring IT business value. In response to this call, we develop a process-oriented model to assess the impacts of IT on critical business activities within the value chain. Our model incorporates corporate goals for IT and management practices as key determinants of realized IT payoffs. Using survey data from 304 business executives worldwide, we found that corporate goals for IT can be classified into one of four types: unfocused, operations-focus, market-focus and dual-focus. Our analysis confirms that these goals are a useful indicator of payoffs from IT in that executives in firms with more focused goals for IT perceive greater payoffs from IT across the value chain. In addition, we found that management practices such as strategic alignment and IT investment evaluation contribute to higher perceived levels of IT business value.- 1-

Computational and mathematical organization theory is an inter-disciplinary scientific area whose research members focus on developing and testing organizational theory using formal models. The community shares a theoretical view of organizations as collections of processes and intelligent adaptive agents that are task oriented, socially situated, technologically bound, and continuously changing. Behavior within the organization is seen to affect and be affected by the organization’s position in the external environment. The community also shares a methodological orientation toward the use of formal models for developing and testing theory. These models are both computational (e.g., simulation, emulation, expert systems, computer-assisted numerical analysis) and mathematical (e.g., formal logic, matrix algebra, network analysis, discrete and continuous equations). Much of the research in this area falls into four areas: organizational design, organizational learning, organizations and information technology, and organizational evolution and change. Historically, much of the work in this area has been focused on the issue how should organizations be designed. The work in this subarea is cumulative and tied to other subfields within organization theory more generally.

In this paper we propose an extension to the traditional model of bounded rationality and incorporate the extended model into a theory of organizational behavior. We argue that organizations are collections of tasks and intelligent agents engaged in performing those tasks, both situated within an organizational setting. Organizational behavior is an emergent property of such collections and is constrained by the agent, the task, and the situation. We propose that a unified theory of organizational behavior is possible, but only if agents, tasks, and situations are specified at a sufficient level of detail, and only if that specification embodies both the agents' mental models of the task and social-situation and the task and social-situation. Inattention to relevant details of the agent, task, or situation (and their interactions) may produce misleading results. We describe a candidate theory, ACTS theory, that integrates Agents who are Cognitively-restricted, Task-oriented, and Socially-situated in an interlinked set of representational systems. We suggest that the complexity of the theory warrants its realization and testing in a computational form, and that there exist candidate computational theories of cognitive agents and organizational situations. We illustrate the importance of attending to task

We propose a new model of knowledge creation in purposeful, loosely-coordinated, distributed systems, as an alternative to a firm-based one. Specifically, using the case of Linux kernel development project, we build a model of community-based, evolutionary knowledge creation to study how thousands of talented volunteers, dispersed across organizational and geographical boundaries, collaborate via the Internet to produce a knowledge-intensive, innovative product of high quality. By comparing and contrasting the Linux model with the traditional/commercial model of software development and firm-based knowledge creation efforts, we show how the proposed model of knowledge creation expands beyond the boundary of the firm. Our model suggests that the product development process can be effectively organized as an evolutionary process of learning driven by criticism and error correction. We conclude by offering some theoretical implications of our community-based model of knowledge creation for the literature of organizational learning, community life, and the uses of knowledge in society. Revision to #OS 00-1246RR I.

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This is a careful and insightful case study of how the Toyota Production System manages the paradox of efficiency and flexibility, which arises periodically in connection with model changeovers. The authors detail the functioning of four organizational mechanisms—metaroutines, partitioning, switching, and ambidexterity. However, of particular interest is the contextual reinforcing role of training and trust in administrative structures, procedures, and rules.

We describe a framework for defining the space of organization designs for computational agents, use our framework for analyzing the expected performance of a class of organizations, and describe how our analyses can be applied to predict performance for a distributed information gathering task. Our analysis specifically addresses the impact of the span of control (branching factor) in tree-structured hierarchical organizations on the response time of such organizations. We show quantitatively how the overall task size and granularity influence the design of the span of control for the organization, and that within the class of organizations considered the appropriate span of control is confined to a relatively narrow range. The performance predicted by our overall model correlates with the actual performance of a distributed organization for computer network monitoring. Consequently, we argue that our framework can support aspects of organizational selfdesign for computational agents,...

Abstract. Understanding how to implement SPI successfully is arguably the most challenging issue facing the SPI field today. The SPI literature contains many case studies of successful companies and descriptions of their SPI programs. However, there has been no systematic attempt to synthesize and organize the prescriptions offered. The research efforts to date are limited and inconclusive and without adequate theoretical and psychometric justification. This paper provides a synthesis of prescriptions for successful quality management and process improvement found from an extensive review of the quality management, organizational learning, and software process improvement literature. The literature review was confirmed by empirical studies among both researchers and practitioners. The main result is an instrument for measuring the key factors of success in SPI based on data collected from 120 software organizations. The measures were found to have satisfactory psychometric properties. Hence, managers can use the instrument to guide SPI activities in their respective organizations and researchers can use it to build models to relate the facilitating factors to both learning processes and SPI outcomes.