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This article reports on the development and pilot testing of a group exercise intended to improve participants’ understanding of two key organization design concepts: Work process interdependency and Coordination cost. In the exercise, participants are divided into groups representing departments and are then asked to reconfigure the groups while considering both benefits (reduced coordination costs) and costs (of reconfiguration). The exercise was supported by the development of a tool, quantifying the concepts of interdependency and coordination cost. Future versions of the exercise may be used to study more systematically the capacity of individuals and groups to take into account multiple interdependencies in optimizing a design at the individual, group and system level.
Journal of organization design, 2018
Organization design is a major factor determining an organization's performance and how the people work together in these organizations. In the paper, we argue that designing organizations should be scientific-based and forward-looking. This raises challenges in designing organizations in contexts and situations that are new and have not been seen before. Experimentation of what is and what might be is the basis for exploring and examining what makes a good science for organizational design. Experimentation permits us to examine what might be for organization designs, which are not well understood or may not exist yet. Collaborative communities, new ventures, agile organizations, and temporary organizations are examples; experimentation permits us explore and examine what is and what might be and to examine the organizational design problem and perform experiments to understand the relationship between structure and coordination mechanisms of information, communications, decisions, trust, and incentives-the basis for the multi-contingency theory of organizational design. An organizational design must specify the fit between the structure of division of tasks in the organization with its coordination, or how to make these tasks work in concert. These tasks can be interdependent and uncertain. To design good organizations, we need empirical evidence about what is and exploration about what might be; we need a good theoretical basis for being able to generalize our knowledge. To illustrate our point, we examine two experiments on the classic M-form hypothesis-a computer simulation that examines coordination, organization structure, and interdependency and a laboratory experiment that examines the effect of incentives on opportunism and performance. Together, we find that the M-form is a robust organizational design, but with contingent conditions. Finally, we discuss how observation and experimentation together is the foundation for the development of scientific-based theory of organizational design.
Journal of Organization Design
We conducted a survey to identify the most important challenges faced by consultants who support managers in redesigning their organizations. The results indicate that the most frequently encountered challenges are (1) creating realistic estimates regarding the time and resources required to complete the project, (2) understanding patterns of collaboration or information exchange across units in the organization, (3) handling political aspects of the redesign process and helping participants "see the bigger picture" (as opposed to "protecting their own turf"), and (4) evaluating whether the new organizational model has had the intended effects. We discuss the implications of the study for both practitioners and scholars.
Journal of Mechanical Design, 2009
A team’s design—the structuring of its resources and flows of knowledge—is an important element determining its effectiveness. An essential element in achieving a team’s problem-solving potential is the role that interdependence, in both the task and the organization, plays in determining the dynamic and emergent system-level properties of the organization. In this paper, we present a computational platform for experimentally investigating the influence of informational dependencies found in the design of a complex system for exploring their role in determining system behaviors and performance. The approach presented in this paper is a multiagent simulation of the conceptual design of space mission plans by Team X, an advanced project design group at NASA’s Jet Propulsion Laboratory. The algorithm is composed of rich descriptive models of both the team-types and timing of interactions, collaborative methods, sequencing, rates of convergence- and the task-primary variables, their beh...
Creating High Performance Organizations, 2008
Journal of Organization Design, 2012
Coordination, and the lack of it, is frequently ascribed as a key role in successful and less successful building processes. Over the last four decades, the understanding of coordination has shifted from emphasizing formal structures to emphasizing informal mechanisms. A review of four articles shows this development as well as how the formal and informal structures and mechanisms relate. The review is done from a perspective of a large design-build project in Denmark. The review indicates, that formal and informal coordination mechanisms alone are not sufficient to explain coordination in practice. The main coordination mechanisms discussed are mutual adjustment, direct supervision, standardization, relational coordination, adaptive capacity, and IT as a tool to accomplish task and impose a chronological rhythm and schedule on the work processes. From this point of departure a new set of coordination mechanisms for practice is developed rooted in current institutional theory. The mechanisms are internal building of an institution and external building of relationships between a number of institutions. The conclusion is that existing literature on coordination does not fully describe the complexity of coordination in an institutionalised design-build organisation and that a new set of coordination mechanisms rooted in institutional theory contributes to our understanding of complex coordination.
Academy of Management Annals, 2020
for their thoughtful feedback.
While there have been numerous empirical and theoretical contributions in both the accounting and management literatures examining independently the implications of strategy and structure on control system design, there has been little research examining the interdependencies among the various elements of organization design. Hospitals represent an empirical setting where a diversity of structural arrangements and strategic orientations are both readily observable and recognized as having implications for other elements of control systems. Using data collected from chief executive officers and medical directors in hospitals, this study examines how strategic choices influence adaptations in structure and performance measurement systems. The findings from this study suggest that there are significant interdependencies between strategic choice, structure, and performance measurement system design and that when the separate elements of organization design complement each other, performance is enhanced.
This paper introduces a set of information technology variables which can be used in designing organizations, We first look at traditional design variables and then present a series of options enabled by modern information technology. We use these IT design variables to describe four prototypical organizationsn which are beginning to appear in the workplace: virtual, negotiated, traditional and vertically integrated. It is argued that an organization designer must also consider how structure and technology influence job tasks and peopld in order to be successful. The paper discusses potential implementation difficulties, particularly in motivating traditional organizations to take advantage of IT design variables. The paper concludes that the design of information technology and the design of organizations is largely becoming the same task.
DS 112: Proceedings of the 23rd International DSM Conference (DSM 2021), Montréal, Canada, October, 12 - 14, 2021, 2021
A key organization design principle is to group interdependent elements in the same clusters. This principle is the basis for the Design Structure Matrix (DSM), which can be used to automate the identification of clusters (e.g., teams). However, it may sometimes be necessary to depart from this design principle. We focus on one such situation, where the expected value of consolidating resources is deemed to be higher than the reduction in coordination costs from grouping resources in a modular cluster. We propose a set of criteria that can be used to assess consolidation potential as well as consolidation costs. We describe a solution for collecting subjective assessments of the value of consolidation and for incorporating this information into the DSM. This approach makes it possible to continue the use of the already established MDL clustering algorithm. We demonstrate the approach utilizing a simple data set with hypothetical values.
1993
We are developing a prototype of a simulation development tool to aid administrators in the process of redesigning organizational structures. The purpose of the system is to help organization designers to more precisely model their hypothetical designs, and, by simulation, to predict key facets of the overall behavior of their proposed organizational structures. The tool will help them to evaluate the restructured organization's potential for improved efficiency, or spot potential weaknesses in the system during peak loads. With this tool, organizational models are built using a library of simulation components characterizing commonly used coordination structures and communications mechanisms. Our hypothesis is that the structuring of the design tool around a model construction library of coordination mechanisms will allow designers to readily compose existing and proposed organizational structures to effectively evaluate their options.
Ann Arbor
Organizational Self-Design (OSD) is a model of Organizational Change from the perspective of Distributed Arti cial Intelligence (DAI). We present a topdown model of OSD in the context of Cooperative Distributed Problem Solving (CDPS). We emphasize the task environment as an important factor in determining an e ective organizational structure. We provide an example of an analytical model of organization performance for an addition task using tree structure organizations, and show how such model can be used to endow a Distributed Network Mangement system with the capability to adapt to changing task environments via OSD.
Journal of Organization Design, vol. 4, no. 2, 2015
Much of the literature linking organizational design to performance falls into two broad streams. One conceptualizes structure bureaucratically, i.e. in terms of a hierarchical pattern of authority or reporting relationships, as well as the degree of standardization, formalization, specialization, etc. The impact of structure and other elements of design on performance is most typically contingent upon other factors such as strategy, task characteristics, and environmental conditions. The other stream conceives of structure more informally, i.e. as a network of interpersonal and intra-organizational relationships. Properties of informal structure are typically shown to have a more direct (less contingent) impact on organizational performance. Despite these rather pronounced differences, considerable overlap and complementarity exists between the two streams. Little of it has been systematically examined, however. In this paper I compare and contrast a pair of exemplars from each stream—the information-processing perspective and the social network perspective—with respect to their conceptualizations of organization design and its relationship to performance. The paper concludes with several specific recommendations for future research combining the two approaches.
Computational and Mathematical Organization Theory, 1996
Large scale and multidisciplinary engineering projects (e.g., design of a hospital building) are often complex. They usually involve many interdependent activities and require intensive coordination among actors (i.e., designers) to deal with activity interdependencies. To make such projects more effective and efficient, one needs to understand how coordination requirements are generated and what coordination mechanisms should be applied for given project situations. Our research on the Virtual Design Team (VDT) attempts to develop a computational model of project organizations to analyze how activity interdependencies raise coordination needs and how organization design and communication tools change team coordination capacity and project performance. The VDT model is built based on contingency theory (Galbraith, 1977) and our observations about collaborative and multidisciplinary work in large, complex projects. VDT explicitly models actors, activities, communication tools and organizations. Based on our extended information-processing view of organizations, VDT simulates the actions of, and interactions among actors as processes of attention allocation, capacity allocation, and communication. VDT evaluates organization performance by measuring emergent project duration, direct cost, and coordination quality. The VDT model has been tested internally, and evaluated externally through case-studies. We found three way qualitative consistency among predictions of the simulation model, of organization theory, and of experienced project managers. In this paper, we present the VDT model in detail and discuss some general issues involved in computational organization modeling, including level of abstraction of tasks and actors' reasoning, and model validation.
The Journal of Applied Behavioral Science, 2007
Herbert Simon once suggested that the social sciences are actually the hard sciences due to the enormous complexity and interconnectedness of the elements within social systems. This insight is also critical in understanding the nature of change and development of large organizational systems. Adopting a science-based design approach, the authors place emphasis on the importance of developing construction principles and design rules for the implementation of large-scale organization development (OD) interventions. The empirical part of the article draws on several case studies of OD projects that employ the methods of circular redesign. The first case illustrates how implementation may fail as a result of a lack of awareness of the complexity of OD implementation and experimentation processes. The second case suggests that a coherent set of principles and rules can provide a common framework and language for scholars, managers, and consultants working together in large-scale organizational change projects.
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