Systems Thinking Is the Process of Understanding How Things Influence One Another Within a Whole
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Re-Examining the Implications of Systems Thinking for Evaluation
RE-EXAMINING THE IMPLICATIONS OF SYSTEMS THINKING FOR EVALUATION BY EMILY F. GATES DISSERTATION Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Educational Psychology in the Graduate College of the University of Illinois at Urbana-Champaign, 2016 Urbana, Illinois Doctoral Committee: Professor Jennifer C. Greene, Chair Professor Thomas A. Schwandt, Director of Research Professor Lizanne DeStefano Professor Martin Reynolds, Open University ABSTRACT Over the last twenty years, many prominent evaluators have been borrowing and using ideas, theories, and methods from the systems and complexity fields with little research on the implications of this trend for the evaluation field. This thesis examines this borrowing to identify over-arching implications for evaluation theory and practice. The first paper reviews inter- disciplinary literature on systems thinking and complexity science with regards to evaluating social policies and programs and identifies major implications for how evaluators theorize evaluation practice. The second paper reports on an analysis of eight cases of evaluation practice that use systems and complexity ideas and techniques and presents findings regarding how evaluators conceive of and practice evaluation. The third paper advances an argument for how evaluators can use critical systems heuristics to surface, reflect on, and make explicit the values that influence and should influence an evaluation. Collectively, these papers support the potential of borrowing from the systems and complexity fields to expand on and re-define evaluation theory and practice. ii ACKNOWLEDGMENTS This dissertation would not have been possible without the mentorship of Dr. Thomas Schwandt and Dr. Jennifer Greene. I am thankful to Tom for overseeing this dissertation, sharing his wisdom, providing generous editorial comments, and continuously challenging and expanding my thinking. -
Systems Thinking: Managing Chaos and Complexity This Page Intentionally Left Blank Systems Thinking: Managing Chaos and Complexity
Systems Thinking: Managing Chaos and Complexity This Page Intentionally Left Blank Systems Thinking: Managing Chaos and Complexity A Platform for Designing Business Architecture SECOND EDITION Jamshid Gharajedaghi AMSTERDAM • BOSTON • HEIDELBERG • LONDON NEW YORK • OXFORD • PARIS • SAN DIEGO SAN FRANCISCO • SINGAPORE • SYDNEY • TOKYO Butterworth-Heinemann is an imprint of Elsevier Butterworth-Heinemann is an imprint of Elsevier 30 Corporate Drive, Suite 400, Burlington, MA 01803, USA 525 B Street, Suite 1900, San Diego, California 92101-4495, USA 84 Theobald's Road, London WC1X 8RR, UK This book is printed on acid-free paper. Copyright © 2006, Elsevier Inc. All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Permissions may be sought directly from Elsevier’s Science & Technology Rights Department in Oxford, UK: phone: (+44) 1865 843830, fax: (+44) 1865 853333, E-mail: [email protected]. You may also complete your request on-line via the Elsevier homepage (http://elsevier.com), by selecting “Support & Contact” then “Copyright and Permission” and then “Obtaining Permissions.” Library of Congress Cataloging-in-Publication Data Gharajedaghi, Jamshid. Systems thinking : managing chaos and complexity : a platform for designing business architecture / Jamshid Gharajedaghi. p. cm. Includes bibliographical references and index. ISBN 0-7506-7163-7 (alk. paper) 1. System analysis. 2. Chaotic behavior in systems. 3. Industrial management. 4. Technological complexity. I. Title. T57.6.G52 1999 003—dc21 98-55939 British Library Cataloguing-in-Publication Data A catalogue record for this book is available from the British Library. -
CPL-White-Paper-09-January-2013
London Metropolitan University: Centre for Progressive Leadership White Paper: Managing Leadership from a Systemic Perspective ISSUED JANUARY 2013 LONDON METROPOLITAN UNIVERSITY BUSINESS SCHOOL A CPL WHITE PAPER Managing Leadership from a Systemic Perspective Dr William Tate ABSTRACT How can an organisation best understand, expand, release, promote, improve, combine and apply leadership capability suited to its needs? The traditional model of individual leadership behaviour and development is no longer in tune with latest knowledge of the dynamics entailed in leadership performance in today’s complex environment. Development tools drawn from psychology insufficiently address the realities of organisational life. Understanding of the new sciences and the study of systems, combined with progressive 21stC social values, demand that a new perspective of leadership be taken, reflecting the holistic context in which leadership processes are now required to operate. This paper presents a systemic view of leadership, where the leadership role is one factor in an intricate system of interacting elements that affect how leadership is best applied in organisation settings and how it can be improved. The model challenges conventional approaches to the definition, specification and codification of leadership, as well as the way leadership is studied, how it is assessed and developed. Implications for various academic disciplines are considered, and a range of HR processes are discussed, including leadership development, accountability, coaching and performance management. THE VIEWS EXPRESSED IN THIS PAPER ARE THOSE OF THE AUTHOR AND DO NOT NECESSARILY REPRESENT THOSE OF LONDON METROPOLITAN UNIVERSITY BUSINESS SCHOOL OR THE CENTRE FOR PROGRESSIVE LEADERSHIP. © William Tate, The Institute for Systemic Leadership, 09 January 2013 1 London Metropolitan University: Centre for Progressive Leadership White Paper: Managing Leadership from a Systemic Perspective 1. -
An Overview of the Soft Systems Methodology Stuart Burge
System Thinking: Approaches and Methodologies An Overview of the Soft Systems Methodology Stuart Burge The Soft Systems Methodology (SSM) was born out of research conducted at Lancaster University to apply Systems Engineering approaches to solve “management/business problems”. In other words they attempted to apply a Hard Systems approach to fix business problems. What they discovered was the approach often stumbled at the first step of problem definition. This happens quite simply because the different stakeholders have divergent views on what constitutes the system, the purpose of the system and therefore the problem. Two key players in the development of the SSM are Peter Checkland [1999] and Brian Wilson [2001] who through “action research” were able to put together a practical and pragmatic approach to the identification and solution of “soft” ill-defined problems. This methodology was more than just a process; Checkland and Wilson also developed a set of tools to help users carry out the steps. These include: • Rich Picture • Conceptual Model • CATWOE • Formal Systems Model More on these later because, at this point, I would like to focus on the approach. Figure 1 presents a view of the SSM. Since its origin back in 1970’s and 80’s it has changed as various workers have added their bit. Figure 1 shows a 7-step process approach to SSM. I have chosen this view, that while it is an early representation, it does allow several key and important aspects of SSM to be made clear. Figure 1: The 7 Step Soft Systems Methodology © Burge Hughes Walsh 2015 page 1 System Thinking: Approaches and Methodologies Before launching into detail about the 7-steps it is worthwhile explaining the overall philosophy behind SSM. -
Consciousness and Its Evolution: from a Human Being to a Post-Human
Uniwersytet Marii Curie-Skłodowskiej w Lublinie Wydział Filozofii i Socjologii Taras Handziy Consciousness and Its Evolution: From a Human Being to a Post-Human Rozprawa doktorska napisana pod kierunkiem dr hab. Zbysława Muszyńskiego, prof. nadzw. UMCS Lublin 2014 Table of Contents Introduction ………………………………………………………………………………………. 8 Chapter 1: Consciousness, Mind, and Body …………………………………………………… 18 1.1 Conceptions of Consciousness …………………………………………………………. 18 1.1.1 Colin McGinn’s Conception of Consciousness ……………………………………….... 18 1.1.1.1 Owen Flanagan’s Analysis of Colin McGinn’s Conception of Consciousness ….…….. 20 1.1.2 Paola Zizzi’s Conception of Consciousness ………………………………………….… 21 1.1.3 William James’ Stream of Consciousness ……………………………………………… 22 1.1.4 Ervin Laszlo’s Conception of Consciousness …………………………………………... 22 1.2 Consciousness and Soul ………………………………………...………………………. 24 1.3 Problems in Definition of Consciousness ………………………………………………. 24 1.4 Distinctions between Consciousness and Mind ………………………………………... 25 1.5 Problems in Definition of Mind ………………………………………………………… 26 1.6 Dogmatism in Mind and Mind without Dogmatism ……………………………………. 27 1.6.1 Dogmatism in Mind …………………………………………………………………….. 27 1.6.2 Mind without Dogmatism …………………………………………………………….… 28 1.6.3 Rupert Sheldrake’s Dogmatism in Science …………………………………………….. 29 1.7 Criticism of Scientific Approaches towards Study of Mind ……………….…………… 30 1.8 Conceptions of Mind …………………………………………………………………… 31 1.8.1 Rupert Sheldrake’s Conception of Extended Mind …………………………………….. 31 1.8.2 Colin McGinns’s Knowing and Willing Halves of Mind ……………………………..... 34 1.8.3 Francisco Varela’s, Evan Thompson’s, and Eleanor Rosch’s Embodied Mind ………... 35 1.8.4 Andy Clark’s Extended Mind …………………………………………………………... 35 1.8.5 Role of Mind Understood by Paola Zizzi ………………………………………………. 36 1.9 Mind in Buddhism, Consciousness in Tibetan Buddhism ……………………………… 36 1.9.1 Mind in Buddhism ……………………………………………………………………… 36 1.9.2 B. -
Rethinking the Pragmatic Systems Biology and Systems-Theoretical Biology Divide: Toward a Complexity-Inspired Epistemology of Systems Biomedicine
Rethinking the pragmatic systems biology and systems-theoretical biology divide: toward a complexity-inspired epistemology of systems biomedicine Srdjan Kesić* Department of Neurophysiology, Institute for Biological Research “Siniša Stanković,” University of Belgrade, Despot Stefan Blvd. 142, 11060 Belgrade, Serbia * Corresponding author: Srdjan Kesić, PhD Assistant Research Professor, Department of Neurophysiology, Institute for Biological Research ―Siniša Stanković,‖ University of Belgrade, Despot Stefan Blvd., 142, 11060, Belgrade, Serbia. Tel: +381 61 3127580 E-mail: [email protected] Short Title: Systems biology and epistemology of systems biomedicine 1 Abstract This paper examines some methodological and epistemological issues underlying the ongoing ―artificial‖ divide between pragmatic-systems biology and systems-theoretical biology. The pragmatic systems view of biology has encountered problems and constraints on its explanatory power because pragmatic systems biologists still tend to view systems as mere collections of parts, not as ―emergent realities‖ produced by adaptive interactions between the constituting components. As such, they are incapable of characterizing the higher-level biological phenomena adequately. The attempts of systems-theoretical biologists to explain these ―emergent realities‖ using mathematics also fail to produce satisfactory results. Given the increasing strategic importance of systems biology, both from theoretical and research perspectives, we suggest that additional epistemological and methodological insights into the possibility of further integration between traditional experimental studies and complex modeling are required. This integration will help to improve the currently underdeveloped pragmatic-systems biology and system-theoretical biology. The ―epistemology of complexity,‖ I contend, acts as a glue that connects and integrates different and sometimes opposing viewpoints, perspectives, streams, and practices, thus maintaining intellectual and research coherence of systems research of life. -
Information System Meta-Synthesis Research Based on SOA
Send Orders for Reprints to [email protected] 586 The Open Cybernetics & Systemics Journal, 2014, 8, 586-593 Open Access Information System Meta-Synthesis Research Based on SOA Shibin He*, Juhui Cao and Yi Zhang Department of Military Engineering, Logistics Engineering University, Chongqing, China Abstract: This paper is to about the main contents and basic working principles of information system meta-synthesis based on SOA. In the anterior part of the paper, we explained the current situations of the information system manage- ment and working conditions, and pointed out the reasons why we had to think over the disadvantages and advantages of information system meta-synthesis. In the middle part of the paper, we point out the basic principles of SOA, and intro- duced the layers of the SOA structure. And then, we created a probable architecture of the information system meta- synthesis based on SOA. In order to explain more clearly of this structure, the papaer described the mapping relationships between task requests and services by using nodes network structure, and some mathematics methods or models were used to analyze. Some formulas were also used to express the longest and the average distance of the services responding time. Three main physical layers were created in this architecture, public core service layer, service construction layer and service application layer. Each layer contained different services and achieved different functions. Finally, we took a cer- tain area information system as an example to illustrate the main contents of this structure, and analyzed the relationships among those layers. In the end of the paper, we summed up all the advantages and superiorities of information system meta-synthesis based on SOA, and proposed the research keynotes in the future. -
A Review of Problem Structuring Methods for Consideration in Prognostics and Smart Manufacturing
A Review of Problem Structuring Methods for Consideration in Prognostics and Smart Manufacturing Patrick T. Hester 1, Andrew J. Collins 2, Barry Ezell 2, John Horst 3 1 Department of Engineering Management & Systems Engineering, Old Dominion University, Norfolk, VA 23529 [email protected] 2 Virginia Modeling, Analysis, and Simulation Center, Old Dominion University, Suffolk, VA 23435 3 Engineering Laboratory, National Institute for Standards and Technology (NIST), Gaithersburg, MA 20899 ABSTRACT environments has been exacerbated in recent years. “Modern engineering systems and manufacturing processes Successful use of prognostics involves the prediction of are becoming increasingly complex, and are operating in future system behaviors in an effort to maintain system highly dynamic environments. Thus, sustaining the availability and reduce the cost of maintenance and repairs. reliability of such systems is becoming a more complex and Recent work by the National Institute of Standards and challenging requirement” (Lee, Ghaffari, & Elmeligy, 2011, Technology indicates that the field of prognostics and health p. 111). Prognostics and health management, specifically for management is vital for remaining competitive in today’s smart manufacturing, is a promising area of research as a manufacturing environment. While prognostics-based means for maintaining complex system reliability and for maintenance involves many traditional operations research- helping to make the U.S. succeed globally; however, it has centric challenges for successful deployment such as limited yet to be universally embraced due to a number of factors availability of information and concerns regarding that will be discussed later in this paper. We argue that computational efficiency, the authors argue in this paper that prognostics and health management requires a the field of prognostics and health management, still in its preprocessing step, known as problem structuring, in order embryonic development stage, could benefit greatly from to allow it to reach its full potential. -
On the Evolution of Systems
Evolution Of Systems Michel Lecoq iTER - Belgium tel. : + 32 4 278 1008 fax.: + 32 4 278 1009 [email protected] Introduction This article is an attempt to formalize my thoughts about the evolution of products or of systems in general. It does not contain anything new. To the contrary, it just applies the assumption that "somebody somewhere has solved a problem like mine". Altshuller proposed "trends of evolution" that are presently expanded by many authors in the TRIZ literature. In his book, Darrell Mann (1) has 31 of these trends. They are observations of the evolutions of objects. This part of TRIZ does not satisfy me. It looks more like a collection of examples of the use of some TRIZ principles (e.g. The trend of "space segmentation" or the trend of "object segmentation" show the segmentation principle at different levels in a solid). This article tries to show TRIZ practitioners other attempts to approach the evolution with the hope that somebody will once formulate a coherent theory or at least a coherent guideline. After introducing the general modeling of systems, the article draws from the evolution of living systems to show some conclusions useful for the TRIZ practitioner. The way we look at the evolution of products has also an impact on the way we model the objects and their functions. Therefore, the article ends with some comments about modeling. First part: Modeling the general system System theory is a "theory" that started in the 1920's and was developed mainly from 1950 to 1980. It is a kind of reaction to the Cartesian or scientist thinking of most of the technicians. -
Siddharth Paper TITLE: the Systemics of (Meta)Design Abstract: Much Of
GA2009 – XII Generative Art Conference – Politecnico di Milano University, Italy Siddharth Paper TITLE: The Systemics of (Meta)Design Abstract: Much of our knowledge today is being informed + transformed by the advent of systems’ sciences [1], and recent advances in technology & computation. Design, when looked at from trans-disciplinarity and the contemporary systemic view, can be seen as a process of systemic intervention in the evolution of interconnected complex adaptive & dynamic living systems. A successful design-system needs to holistically understand the system/s it is dealing and identify key participatory strategies, which when applied via collectively selected points of intervention, can result in a successful integration/overlay onto the system/s that are being addressed. This brings us to the notion of MetaDesign [2, 3] Systems, seen as a contemporary design framework for strategic & systemic comprehension + intervention. It is hoped that this paper will attempt Topic: Design-Systems to address the following: Author: - Evaluate current design methodologies for holistically Siddharth understanding dynamic living systems PhD Student, Spatial Information Architecture - Develop strategies for Systemic Intervention, based on current Laboratory, RMIT insights & understanding of Systems Sciences. This would include University, Australia describing collective/ participatory methods of analysis + synthesis, www.sial.rmit.edu.au defining intervention points, and evolutionary pathways (& quanta) that constitute a MetaDesign System. References: [1] Charles François (1999), Systemics and Cybernetics in a Historical Perspective. in: Systems Research and Behavioral Science, Vol 16, pp. 203–219 [2] Giaccardi, E. (2004). "Principles of Metadesign: Processes and Levels of Co-Creation in the New Design Space". PhD Thesis, University of Plymouth, UK. -
Soft Systems Methodology
Soft Systems Methodology An Introduction Computer Science/Roskilde University, Spring 1994 Jesper Simonsen Soft Systems Methodology......................................................................................1 Background...........................................................................................................1 SSM 1981 ...............................................................................................................2 Stage 1 and 2..............................................................................................3 Stage 3........................................................................................................4 Stage 4........................................................................................................5 Stage 5........................................................................................................6 Stage 6 and 7..............................................................................................7 SSM 1990 ...............................................................................................................7 The Stream of Logic-Based Enquiry........................................................9 The Stream of Cultural Enquiry ............................................................11 SSM and the Construction of IS ........................................................................12 Table of Key Concepts and Techniques/Guidelines.......................................14 The Philosophy of SSM......................................................................................14 -
Evaluation of the Vocational Training System in Qatar's Public Sector
Evaluation of the Vocational Training System in Qatar’s Public Sector Hamad Al-Kaabi In Partial fulfilment of the requirements for the Doctor of Degree of Philosophy Cardiff Metropolitan University February 2020 Abstract The concept of policing a state has had to undergo a change of mindset due to the global nature of today’s world. There was anecdotal evidence that the training was outdated and did not take into account the cross-cultural differences that exist in Qatar. This study investigates this hypothesis and evaluates the quality of training at the Police Training Institute in Qatar After conducting an exhaustive literature review covering cross cultural differences, systems thinking and different delivery methods a methodological evaluation of public sector training was conducted using the Soft Systems Methodology of Professor Peter Checkland. The key findings to come out of the SSM Analysis were: the police training did not meet the participants’ expectations, course content failed to provide trainees with new skills, the delivery of the courses lacks interaction and courses were not useful or challenging. A conceptual model was developed that dealt with: new content cultural differences and; new delivery methods A new course was designed, delivered, tested and evaluated. This was a course on Systems Thinking. Also, an App was designed for mobile phones which enabled the course to be delivered in a more modern manner which used the concept of social media. The final analysis showed that the Systems Thinking ideas were well received and more courses need to be designed at all levels. It suggested that there is a future for mobile technology in training and it encouraged organizations to experiment with this form of delivery.