Bayesian participatory-based decision analysis : an evolutionary, adaptive formalism for integrated analysis of complex challenges to social-ecological system sustainability

Includes bibliographical references (pages. 379-400).This dissertation responds to the need for integration between researchers and decision-makers who are dealing with complex social-ecological system sustainability and decision-making challenges. To this end, we propose a new approach, called Bayesian Participatory-based Decision Analysis (BPDA), which makes use of graphical causal maps and Bayesian networks to facilitate integration at the appropriate scales and levels of descriptions. The BPDA approach is not a predictive approach, but rather, caters for a wide range of future scenarios in anticipation of the need to adapt to unforeseeable changes as they occur. We argue that the graphical causal models and Bayesian networks constitute an evolutionary, adaptive formalism for integrating research and decision-making for sustainable development. The approach was implemented in a number of different interdisciplinary case studies that were concerned with social-ecological system scale challenges and problems, culminating in a study where the approach was implemented with decision-makers in Government. This dissertation introduces the BPDA approach, and shows how the approach helps identify critical cross-scale and cross-sector linkages and sensitivities, and addresses critical requirements for understanding system resilience and adaptive capacity

Self-Regulating Teamwork Behaviors in Low-Volume & High-Complexity Production

An environment of ever increasing competition drives manufacturing organizations to continually search for ways to improve the performance of their production operations. Lean manufacturing, born out of the Toyota Production System (TPS), has become the dominant improvement method sought to meet this need. Although well established in high-volume production settings, the application of lean production methods in low-volume and high-complexity (LVHC) manufacturing contexts has not been as successful. A commonly cited reason is a biased focus on the technical aspects of implementing lean methods with little regard for the social system involved in the change. In the LVHC manufacturing context, the support required to make lean manufacturing methods successful resides in production work teams. Prior research has demonstrated that high performance teams use self-regulating teamwork behaviors (SRTB) to prepare for work accomplishment, collaborate on taskwork, assess their performance, and make adjustments to meet their goals. The impact of SRTB on team performance is expected to be greater when the work cycle is longer, task complexity is higher, and people not technology control the pace of work. With those being primary features of the LVHC context, unique opportunities for enacting SRTB are present but how those behaviors can be accomplished in this context is not fully understood. Our knowledge of how production operations can be improved through the sociotechnical system of work teams can be significantly enhanced by conducting naturalistic empirical research under real-world conditions. The multiple case study method was used for this research in a LVHC manufacturing plant to explore how team composition, team context, and organizational context influence the generation and development of SRTB in production work teams. From this research, the major factors and relationships that drive SRTB in this setting were identified and mapped, resulting in the formulation of propositions and a theoretical framework. Although especially relevant to LVHC manufacturers, this research also makes a theoretical and practical contribution to the discipline of engineering management by identifying critical factors and relationships in team composition and context for accomplishing SRTB

Network Analysis Approaches to Collaborative Information Seeking in Inter-Professional Health Care Teams

Introduction: It is widely believed that interprofessional health care teams can improve patient care and increase safety; however, intra-team communication has often proven to be problematic. One particularly important aspect of this problem is how teams collaborate to seek the information needed to address the issues they are confronting. Network analysis offers a rich set of concepts for tackling this problem. Method: Review essay. Analysis and results: Network analysis approaches offer the promise of more nuanced approaches and diagnostic tools that could address these issues by focusing on its elements: reciprocity, centrality, density, fault lines, multi-team systems, fields and/or pathways, knowing where to go, and transactive memory. Conclusion: Network analysis of interprofessional health care teams holds much promise for addressing many current health care problems such as diagnosing fault lines in teams that lead to the blockage of critical information related to care

Leading teaming: Evidence from Jazz

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and EconomicsIn this research we conducted qualitative analysis to study the team dynamics of jazz combos in order to explore deeper the leadership behaviors in a creative environment where teaming occurs. We found evidence of a dual leader, one that shifts his/her role between ‘leader as leader’ and ‘leader as member’, embracing both leaderfulness and leaderlessness according to momentary needs, thus allowing for a delicate balance of freedom and control to enhance creativity and real time coordination. Additionally, we propose that the leader and team members have important roles in either enabling elasticity or preventing plasticity of a flexible structure that is ideal for innovation

Proceedings of the Conference on Production Systems and Logistics: CPSL 2022

[no abstract available

Resilience and Adaptive Capacity in Hospital Teams

Introduction Resilient Healthcare, a field derived from Resilience Engineering, provides a set of theoretical principles for understanding quality and safety in complex systems. So far, these principles have been used to capture individual, departmental, and organisational proactive responses to variable conditions and how this flexibility, involving anticipating, monitoring, responding, learning, and coordinating, contributes to safety. Empirical exploration of Resilient Healthcare has primarily taken place in specific healthcare settings such as emergency departments and surgery, with specific activities such as flow procedures, anaesthesia, blood transfusion, nurse handover, electronic charting, and patient discharge. Understanding healthcare work beyond these limited settings and activities is important, as most patient encounters in the hospital occur in ward settings beyond surgery and emergency care. The role of the team in flexible adaptation also needs to be explored, as effective teamwork is widely recognised as a contributor to healthcare safety.Healthcare teams are diverse and their need for adaptive capacity, the challenges they face, and their ability to coordinate are also likely to be different. Current research on healthcare teams involves teams that are easily defined, such as resuscitation teams, surgical teams, or teams in a simulation lab. Thus, the full range of healthcare teams and their capacity to adapt has not yet been captured. To better understand how to improve teamwork and safety, we must first understand how teams are already adapting to variable conditions in complex organisations. This includes aspects such as the clinical and organisational challenges they face, the dynamics of the team, how flexible teamworking can be supported, as well as more broadly understanding and categorising the different types of teams that exist in healthcare. Aims and objectives The aim of this PhD was to investigate how adaptive capacity is hindered or supported by organisational and contextual factors in different types of hospital teams.The study objectives were to: 1. Review the concept of adaptive teamwork, synthesising available cross-disciplinary research, clarifying key definitions, and identifying factors that might impact team adaptive capacity 2. Develop an empirically derived typology for classifying types of hospital teams based on their structure, membership, and function3. Identify the misalignments, adaptions, pressures, and trade-off decisions of hospital teams in practice 4. Understand differences between types of hospital teams, both in the misalignments and pressures they experience and in the adaptations and trade-off decisions they make, using mixed qualitative methods in two hospitals in England Methods The study was conducted in three phases: - Phase 1: A scoping review of adaptive teamwork Phase one involved a scoping literature review to systematically map existing research on adaptive teamwork and to identify gaps in knowledge. The primary research question was: What do we know about the structure and function of adaptive teams in practice? - Phase 2: Theory development Phase two involved analysis of data previously collected by the larger research team to better understand work-as-done and team structure in hospital teams. The data included 88.5 hours of hospital ethnography on five different hospital wards. An inductive-deductive approach to data analysis was undertaken. - Phase 3: A case study of adaptive teamwork in England Phase three consisted of data collection in two hospitals situated within one Trust (one large and one community hospital), with five teams per hospital (two total teams of each type). In total, 144 hours and 54 minutes of ethnography were completed across the two hospitals and 24 semi-structured interviews were conducted. The overarching aim of the case study was to investigate how adaptive capacity is hindered or supported by organisational and contextual factors in different types of teams. This phase was conducted in a directed rather than exploratory way, building on the data from phase two and increasing the depth of understanding of all five team types. In this phase, both interview and observational data were analysed using the typology and two frameworks produced in phase two. The England case study will eventually contribute to a comparative, cross-country analysis to synthesise and compare findings between countries and healthcare systems (Anderson, Aase, et al., 2020). Ethics and dissemination The overall Resilience in Healthcare research programme that this study is part of has been granted ethical approval by the Norwegian Centre for Research Data (Ref.No. 8643334). Ethical approval to conduct the study in England was granted through King’s College London Research Ethics Office (LRS/DP-21/22-26055). HRA REC approval was 10also granted (22/HRA/1621; IRAS 312079). A research passport was obtained, and letter of access received from local Trust R&D.Results The phase one scoping review included 204 documents and mapped their geographies, fields, settings, and designs. Terminology used to describe elements of the adaptive process were compared. A new conceptualisation of the team adaptive cycle was proposed, along with a new definition for team adaptive capacity. Future opportunities for research were proposed, including the opportunity to study adaptive teams in situ and to consider differences in team adaptive capacity based on unique team features. The second phase of the study resulted in the conceptualisation of: a typology of healthcare teams (paper under review), the Concepts for Applying Resilience Engineering Model 2.0 (published paper), and the Pressures Diagram (published paper). Building on this, the third phase suggested that teams’ adaptive strategies varied based on team type, although demand-capacity misalignments occurred across all team types, suggesting that team type impacts adaptive capacity. While adaptations supported teams’ abilities to overcome misalignments, they also required resources and were more or less possible depending on team type. Likewise, while pressures occurred across all team types, trade-off decisions varied depending on the team type. These findings have implications for team training, workforce planning, and resourcing, and can inform future work that aims to strengthen adaptive capacity and teamworking.Conclusions Overall, this thesis makes unique and important contributions to the literature on both resilient healthcare and adaptive teamwork. It has developed multiple new practical and theoretical models and typologies that have subsequently been used internationally in research. A novel approach combining teamwork and resilient healthcare theory was used successfully to understand and compare healthcare misalignments, adaptations, pressures, and trade-offs in five different team types. The finding that adaptive strategies and trade-off decisions differ based on team type challenges existing teamwork improvement practices, which take a one-size-fits-all approach to conceptualising and training teams. The results provide foundational knowledge to guide future intervention design, which may potentially bring about wider changes in training and sustaining successful teams and supporting their adaptive capacity

Communication Processes in the Design and Implementation of Models, Simulations and Simulation-Games: A Selective Review and Analysis, From the Vantage Point of Computerized Conferencing

Computerized conferencing is a new form of communication which permits a group of individuals, who could be separated in time as well as space, to engage in an interactive dialogue with each other through the convenience of their computer terminals. The software for a computerized conferencing system is designed to keep track of all messages communicated in the system, as well as insure that the various protocols for communication are observed by all. Our objectives in this report are to examine the communication processes found in the design and implementation of models, simulations and simulation-games, and to identify those areas where computerized conferencing, as a new form of communication, has the potential to impart a significant impact on the aforementioned disciplines. The theme which underlies this report is that computerized conferencing presents us with the capability to structure a communication process to satisfy a set of preformulated design objectives. In Part I, we introduce the reader to some basic terminology used to identify models, simulations and simulation-games. Part II attempts to enumerate the potential impacts computerized conferencing is expected to have on the model building process. A key component of this section is the author\u27s causal-loop model of the modeling process which seeks to capture the feedback relationships responsible for both the growth processes and limitations inherent in modeling, and the key role computerized conferencing is expected to play. Our attention next turns to the area of simulation-games. In Part III, we define a simulation-game as a gestalt communication process, and reiterate many of Richard Duke\u27s thoughts on the communication processes found in simulating-games. The next chapter examines the marriage of computerized conferencing and simulation-games, and identifies the numerous benefits to be achieved by this union. These benefits include not only logistic breakthroughs and the attainment of new degrees of verisimilitude to the object human interaction systems being modeled, but an opening up of the simulation-game as a research tool to gain theoretical insight into the sociological processes that take place in human interaction systems. In Part V, we present to the reader summaries of those major efforts relating to conferencing based simulation-games. These include the work of Lincoln Bloomfield and his associates at MIT (the CONEX simulation-games), the Polis system of R. Noel at the University of California at Santa Barbara, and the experiments conducted by the Institute for the Future with the CRISIS simulation-game. In Part VI, we explicity prescribe some methodologies by which a simulation-game designer can structure the communication processes found in simulation-games to satisfy certain design objectives. We refer to this as a constrained computerized conference (i.e., dynamic constraints are imposed on the communication process). A mathematical model is developed for the communication that takes place in the simulation-game. Design applications are then discussed as specific extensions of the mathematical model. The penultimate chapter presents a hypothetical language for describing the communication processes found in simulation-games and other group communication models. The language begins with the world view of SIMSCRIPT 11-5, acknowledged to be the most powerful discrete event simulation language, and builds in some powerful features designed to model and structure human communication processes. The language is illustrated with both a university fiscal crisis simulation-game and the SYNCON communication model. The final chapter synthesizes the ideas expressed in the preceding chapters by an analogy of models, simulations and simulation-games with the conceptual foundations of the scientific method, and sees computerized conferencing as a key aspect in making scientists out of systems scientists. It calls for a conferencing-based International Archives of models, simulations and simulation-games, both to aid in model scrutinization and confirmation as well as to provide a mutual pooling of resources from which users can draw as they please