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William B. Rouse

Bio: William B. Rouse is an academic researcher from Stevens Institute of Technology. The author has contributed to research in topics: Information system & Business transformation. The author has an hindex of 46, co-authored 290 publications receiving 10328 citations. Previous affiliations of William B. Rouse include University of Illinois at Urbana–Champaign & Search Technologies.


Papers
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ReportDOI
01 May 1985
TL;DR: In this paper, the authors place the arguments advanced in alternative points of view with regard to mental models are reviewed, and the spectrum of empirical evidence is combined to suggest a framework within which research on mental models can be viewed.
Abstract: To place the arguments advanced in this paper in alternative points of view with regard to mental models are reviewed. Use of the construct in areas such as neural information processing, manual control, decision making, problem solving, and cognitive science are discussed. Also reviewed are several taxonomies of mental models. The available empirical evidence for answering questions concerning the nature and usage of mental models is then discussed. A variety of studies are reviewed where the type and form of humans' knowledge have been manipulated. Also considered are numerous transfer of training studies whose results provide indirect evidence of the nature of mental models. The alternative perspectives considered and the spectrum of empirical evidence are combined to suggest a framework within which research on mental models can be viewed. By considering interactions of dimensions of this framework, the most salient unanswered questions can be identified.

1,249 citations

Journal ArticleDOI
TL;DR: In this paper, the authors place the arguments advanced in alternative points of view with regard to mental models are reviewed, and the spectrum of empirical evidence is combined to suggest a framework within which research on mental models can be viewed.
Abstract: To place the arguments advanced in this paper in alternative points of view with regard to mental models are reviewed. Use of the construct in areas such as neural information processing, manual control, decision making, problem solving, and cognitive science are discussed. Also reviewed are several taxonomies of mental models. The available empirical evidence for answering questions concerning the nature and usage of mental models is then discussed. A variety of studies are reviewed where the type and form of humans' knowledge have been manipulated. Also considered are numerous transfer of training studies whose results provide indirect evidence of the nature of mental models. The alternative perspectives considered and the spectrum of empirical evidence are combined to suggest a framework within which research on mental models can be viewed. By considering interactions of dimensions of this framework, the most salient unanswered questions can be identified.

1,062 citations

Journal ArticleDOI
01 Nov 1992
TL;DR: The role of mental models in team performance is considered and several propositions developed that focus on mental models as mechanisms for forming expectations and explanations of team behaviors are developed.
Abstract: The authors focus on team performance in complex systems. Representative empirical literature is reviewed and models of team performance are discussed. The role of mental models in team performance is considered and several propositions developed that focus on mental models as mechanisms for forming expectations and explanations of team behaviors. The implications of these propositions for team performance and training are elaborated, particularly in terms of likely performance problems if mechanisms for forming expectations and explanations are deficient. The results of two initial studies that support the plausibility of the propositions are reported. >

444 citations

Journal ArticleDOI
TL;DR: How service value is created in a network context and how the structure and dynamics of the value network as well as customer expectations influence the complexity of the services ecosystem are explored.
Abstract: This paper explores how service value is created in a network context and how the structure and dynamics of the value network as well as customer expectations influence the complexity of the services ecosystem. The paper then discusses what transformative role information and communication technology (ICT) plays in coordinating and delivering value and managing this complexity. A conceptual model is developed for understanding and investigating the nature, delivery, and exchange of service value and assessing the complexity of a service value network. Three central arguments are presented. First, value in the services economy is driven and determined by the end consumer and delivered through a complex web of direct and indirect relationships between value network actors. Second, the complexity of service value networks not only depends on the number of actors but also on the conditional probabilities that these actors are involved in delivering the service to the consumer. Third, ICT plays a central role in reducing complexity for consumers by providing greater levels of value network integration, information visibility, and means to manage and anticipate change.

418 citations

Book
01 Jan 2011
TL;DR: An Introduction to Systems Engineering and Systems Management (A. Sage and W. Sage as discussed by the authors ) is a good starting point for a discussion of the relationship between systems engineering and management.
Abstract: An Introduction to Systems Engineering and Systems Management (A. Sage & W. Rouse). Systems Engineering Life Cycles: Life Cycles for Research, Development, Test, and Evaluation Acquisition and Planning and Marketing (F. Patterson). Systems Engineering Management: The Multidisciplinary Discipline (A. Shenhar). Risk Management (Y. Haimes). Discovering System Requirements (A. Bahill & F. Dean). Configuration Management (P. Brouse). Cost Management (B. Blanchard). Total Quality Management (J. Melsa). Reliability, Maintainability, and Availability (M. Pecht). Concurrent Engineering (A. Kusiak & N. Larson). The Logical Framework in a Project Management System (J. Ben--Dak). Standards in Systems Engineering (S. Lowell). System Architectures (A. Levis). Systems Design (K. White). Systems Integration (J. Palmer). Systematic Measurements (A. Sage & A. Jensen). Human Supervisory Control (T. Sheridan). Designing for Cognitive Task Performance (J. Orasanu & M. Shafto). Organizational and Individual Decision Making (K. Carley & D. Behrens). Human Error and Its Amelioration (P. Jones). Culture, Leadership, and Organizational Change (J. Shields, et al.). Model--Based Design of Human Interaction with Complex Systems (C. Mitchell). Evaluation of Systems (J. Tien). Systems Reengineering (A. Sage). Issue Formulation (J. Armstrong). Functional Analysis (D. Buede). Methods for the Modeling and Analysis of Alternatives (C. van Daalen, et al.). Operations Research and Refinement of Courses of Action (K. Hipel, et al.). Decision Analysis (C. Kirkwood). Project Planning: Planning for Action (R. Buys). Information Technology and Knowledge Management (W. Rouse & A. Sage). Index.

401 citations


Cited by
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Journal ArticleDOI
TL;DR: Reading a book as this basics of qualitative research grounded theory procedures and techniques and other references can enrich your life quality.

13,415 citations

Journal Article
TL;DR: This book by a teacher of statistics (as well as a consultant for "experimenters") is a comprehensive study of the philosophical background for the statistical design of experiment.
Abstract: THE DESIGN AND ANALYSIS OF EXPERIMENTS. By Oscar Kempthorne. New York, John Wiley and Sons, Inc., 1952. 631 pp. $8.50. This book by a teacher of statistics (as well as a consultant for \"experimenters\") is a comprehensive study of the philosophical background for the statistical design of experiment. It is necessary to have some facility with algebraic notation and manipulation to be able to use the volume intelligently. The problems are presented from the theoretical point of view, without such practical examples as would be helpful for those not acquainted with mathematics. The mathematical justification for the techniques is given. As a somewhat advanced treatment of the design and analysis of experiments, this volume will be interesting and helpful for many who approach statistics theoretically as well as practically. With emphasis on the \"why,\" and with description given broadly, the author relates the subject matter to the general theory of statistics and to the general problem of experimental inference. MARGARET J. ROBERTSON

13,333 citations

Posted Content
TL;DR: Deming's theory of management based on the 14 Points for Management is described in Out of the Crisis, originally published in 1982 as mentioned in this paper, where he explains the principles of management transformation and how to apply them.
Abstract: According to W. Edwards Deming, American companies require nothing less than a transformation of management style and of governmental relations with industry. In Out of the Crisis, originally published in 1982, Deming offers a theory of management based on his famous 14 Points for Management. Management's failure to plan for the future, he claims, brings about loss of market, which brings about loss of jobs. Management must be judged not only by the quarterly dividend, but by innovative plans to stay in business, protect investment, ensure future dividends, and provide more jobs through improved product and service. In simple, direct language, he explains the principles of management transformation and how to apply them.

9,241 citations

Journal ArticleDOI
TL;DR: A theoretical model of situation awareness based on its role in dynamic human decision making in a variety of domains is presented and design implications for enhancing operator situation awareness and future directions for situation awareness research are explored.
Abstract: This paper presents a theoretical model of situation awareness based on its role in dynamic human decision making in a variety of domains. Situation awareness is presented as a predominant concern in system operation, based on a descriptive view of decision making. The relationship between situation awareness and numerous individual and environmental factors is explored. Among these factors, attention and working memory are presented as critical factors limiting operators from acquiring and interpreting information from the environment to form situation awareness, and mental models and goal-directed behavior are hypothesized as important mechanisms for overcoming these limits. The impact of design features, workload, stress, system complexity, and automation on operator situation awareness is addressed, and a taxonomy of errors in situation awareness is introduced, based on the model presented. The model is used to generate design implications for enhancing operator situation awareness and future directio...

7,470 citations

Journal ArticleDOI
TL;DR: An overview of the foundational issues related to case-based reasoning is given, some of the leading methodological approaches within the field are described, and the current state of the field is exemplified through pointers to some systems.
Abstract: Case-based reasoning is a recent approach to problem solving and learning that has got a lot of attention over the last few years. Originating in the US, the basic idea and underlying theories have spread to other continents, and we are now within a period of highly active research in case-based reasoning in Europe, as well. This paper gives an overview of the foundational issues related to case-based reasoning, describes some of the leading methodological approaches within the field, and exemplifies the current state through pointers to some systems. Initially, a general framework is defined, to which the subsequent descriptions and discussions will refer. The framework is influenced by recent methodologies for knowledge level descriptions of intelligent systems. The methods for case retrieval, reuse, solution testing, and learning are summarized, and their actual realization is discussed in the light of a few example systems that represent different CBR approaches. We also discuss the role of case-based methods as one type of reasoning and learning method within an integrated system architecture.

5,750 citations