Maximizing Multi-Disciplinary Teams Impact in High-Performance Sport
Maximizing Multi-Disciplinary Teams Impact in High-Performance Sport: Exploring Problem Solving, Decision-Making, Expertise, & Team Performance.
Part 1: Introduction to the Problem Space
Ryan King1
1.Blended Intellligence
Multi-disciplinary Team; Problem Solving; Decision-making.
Headline
In high-performance sport, athletes are supported by multi-disciplinary teams (MDT) composed of practitioners with expertise in different areas such as sports science, psychology, nutrition, and clinical care. While the concept of MDTs is well-known, the intricacies of how they operate, interact, and make decisions are not well understood or researched.
This series of papers aims to explore the individual and collective contributions of practitioners within MDTs and how sports organizations can maximize their impact. Drawing from various disciplines such as behavioural and neural economics, cognitive psychology, sociology, and business management, this series of papers seeks to establish an agenda to better support MDTs and their leaders. By investigating topics such as problem solving, decision-making (an important discriminator of team performance), expertise, intuition, and team performance, we will aim to open avenues for further research and help practitioners create purposeful approaches to delivering multi-disciplinary service.
Introduction
In elite high-performance sport expert practitioners work with coaches in multi-disciplinary teams (MDT) to support the development and preparation of athletes. Practitioners with expertise in the Performance Sciences (Sports Science, Strength and Conditioning, Nutrition, Psychology, Performance Analysis) Rehabilitation and Clinical Care (Physiotherapy, Sports Therapy, Performance Medicine) and Player Care (Education, Wellbeing, Performance Lifestyle) often work together and alongside sports coaches to create holistic and integrated programmes of support for the athletes under their care to maximise longevity, preparedness, and performance.
Although the concept of the MDT in sport is well known the realities of how they are created, formed, and delivered is not yet well understood or researched (Reid, Stewart & Thorne, G 2004). The interaction of an individual practitioner within a team, the interpersonal and hierarchical interactions across the team, the team’s interaction with coaching staff and leadership, how the team is placed within the broader cross-organisational system is highly complex and dynamic (Cruickshanks & Collins 2013). When we consider this through the lens of decision making (Jackson, May, Whitney, Guzzo & Salas 1995), which is an important discriminator of team performance, do we understand individual (and the collectives) contribution to the outcome and do sports organisations set up teams to maximise their impact?
To begin to develop an understanding of MDT performance we must borrow from behavioural and neural economics, cognitive psychology, sociology and business management and leadership. Outlining some of the research that has been carried out on problem solving, decision making, expertise, intuition and team performance will enable us to ask whether practitioners are ‘skilled doers’ or ‘problem solvers’. We will consider this both at the individual and team level and consider some of the models that teams can adopt to identify and solve problems before finally considering whether the team’s context truly enables it to perform. Through this, we will hopefully open some interesting avenues for further research and by investigating these topics, create an agenda to better support MDTs and those who lead them.
The MDT in Sport
Multi-disciplinary service provision is commonplace in many industries because through this approach, better outcomes can be achieved (Kerr & Tinsdale 2004). There are many examples of this in healthcare where practitioners from different clinical backgrounds (Hall & Weaver 2001) work together to provide service and care to patients, those with disabilities and the elderly. MDT working can also be seen in industry, technology, defence, intelligence agencies and pharmaceutical companies where people with different knowledge and skillsets come together to solve problems and create things (Horwitz & Horwitz 2007). In elite sport there is still a lack of guidance and support available on how to encourage true MDT working, maximise the impact of the MDT approach on performance and establish what practitioners should be doing, why and how. This, for new practitioners can create a highly challenging situation where there is a lack of formal education (Horwitz & Horwitz 2007) in place to support effective working with others and how to blend their individual skill sets to create ‘inter-disciplinary’ solutions (Mitchell, Boyle, B, O’Brien, Malik, Tian, Parker, Giles, Joyce & Chiang, 2016).
What is the MDT practitioner?
There is an assumption that interdisciplinary ‘blended’ approaches are required to create the best outcomes and yet this might not be the case. Are practitioners skilled doers who, through their education, training and experience learn to be ‘intuitive experts’ recognising situations, symptoms and patterns and unpacking ready-made solutions (Collins, Burke, Martindale & Cruickshanks 2015). Or do we think as creative subject matter specialists who apply agile and novel solutions to complex problems through expert diagnosis (Chasanidou, Gasparini & Lee, 2015). Do we need to better articulate what effective team working looks like, what problem solving is and when its required and how to best leverage the individual practitioner’s contribution as part of a diverse teams (Page 2014) to truly create innovative solutions to performance problems?
Perhaps we need to build out an understanding of (1) whether we purposefully differentiate between performance problem types, classifications and definitions in the high performance sporting context (2), establish when individual ability and/or diversity is required to problem solve, (3) have methods to identify and classify performance problems before establishing novel or ‘tried and tested’ performance solutions and finally (4), how we create circumstances in which diverse teams can work together to first of all be effective and then when required, be creative to develop blended solutions to thorny wicked problems.
In attempting to answer this mandate we will better understand how individual practitioners with different skillsets in elite sport teams operate. There has been very little work on how individual practitioners contribute to MDT decision making or indeed what their methods and processes are to deliver effective service. It is hoped that through this discussion, we can highlight some of the pertinent theory and potential challenges that exist for decision makers, problem solvers and those that work in MDTs to help support new approaches, methods and different ways of thinking about how we leverage individual ability in cognitively diverse teams (Page 2007; 2014 & Mitchell, Nicolas & Boyle 2009). In doing so, we will help new and experienced practitioners and those who manage them to create purposeful approaches to delivering Multi-Disciplinary service.
Summary
This series of papers will explore the intricacies of how multi-disciplinary teams (MDTs) operate in high-performance sports and their decision-making process. By drawing from various disciplines, we aim to establish an agenda to better support MDTs and their leaders. In sports, MDTs composed of practitioners with different expertise work together to create holistic and integrated support programs for athletes. However, the realities of how MDTs are created, formed, and delivered are not well understood. To understand MDT performance, we must consider individual and collective contributions to decision-making and team performance. Through this, we hope to identify methods for effective problem-solving and create circumstances in which diverse teams can work together to develop solutions to performance problems.
About Blended Intelligence
Blended Intelligence is not just a consultancy service, it’s a game-changer for high-performance sports organizations. By leveraging the power of diverse teams and innovative technology, Blended Intelligence enables collaborative problem-solving and delivers tailored solutions to complex performance challenges. With a focus on shared intelligence and a commitment to maximizing competitive advantage, Blended Intelligence is helping teams think differently and achieve brilliant outcomes.
References
Baumeister, R. F., (2002) Ego Depletion and Self-Control Failure: An Energy Model of the Self’s Executive Function, Self and Identity, Vol 1 (2 129-136
Bennis, W. M., & Pachur, T., (2006) Fast and Frugal Heuristics in Sport, Journal of Psychology in Sport and Exercise, Vol. 7, pp. 611-629
Blumenthal-Barby, J.S., & Krieger, H. (2014). Cognitive Biases and Heuristics in Medical Decision Making: A Critical Review Using a Systematic Search Strategy. Medical decision making. Vol. 35, pp. 1-19.
Cassidy, T. and Rossi, T., 2006. Situating learning:(Re) examining the notion of apprenticeship in coach education. International Journal of Sports Science & Coaching, 1(3), pp.235-246.
Chasanidou, Dimitra & Gasparini, Andrea & Lee, Eunji. (2015). Design Thinking Methods and Tools for Innovation. 10.1007/978-3-319-20886-2_2.
Childs, S. and McLeod, J. (2013). Tackling the wicked problem of ERM: using the Cynefin framework as a lens. Records Management Journal, Vol 23 (3), pp. 191 – 227.
Collins, D., Burke, V., Martindale, A., & Cruickshanks, A., (2015). The Illusion of Competency Versus the Desirability of Expertise: Seeking a Common Standard for Support Professions in Sport, Sports Med, Vol. 45, pp. 1-7.
Crosskerry, P., (2003). The importance of cognitive errors in diagnosis and strategies to minimise them, Academic Medicine, Vol. 78 (8), pp775-780.
Cruickshank, A. and Collins, D., (2013). Culture change in elite sport performance teams: Outlining an important and unique construct. Sport & Exercise Psychology Review, 9(2), pp.6-21.
De Dreu, C.K. and Weingart, L.R., (2003). Task versus relationship conflict, team performance, and team member satisfaction: a meta-analysis. Journal of applied Psychology, Vol. 88 (4), p.741.
De Martino, B., Kumaran, D., Seymour, B. and Dolan, R.J., (2006). Frames, biases, and rational decision-making in the human brain. Science, Vol 313 (5787), pp.684-687.
Edmondson, A. C., (2012). Teaming: How Organizations Learn, Innovate, and Compete in the Knowledge Economy. Jossey-Bass.
Epley, N., & Gilovich, T., (2006). The anchoring-and-adjustment heuristic: Why the adjustments are insufficient, Psychological Science, Vol. 17 (4), pp. 311-318.
Fiore, S.M., Hoffman, R.R. and Salas, E., (2008). Learning and performance across disciplines: An epilogue for moving multidisciplinary research toward an interdisciplinary science of expertise. Military Psychology, Vol. 20(sup1), pp.S155-S170.
Fiore, S.M., Rosen, M., Salas, E., Burke, S. and Jentsch, F., (2017). Processes in complex team problem-solving: parsing and defining the theoretical problem space. In Macrocognition in teams (pp. 143-163). CRC Press.
Furley, P., Bertrams, A., Englert, C., & Delphia, A. (2013). Ego depletion, attentional control, and decision making in sport, Psychology in Sport and Exercise, Vol 14, pp900-904
Garvin, D. A., & Roberto, M. A., (2001). What you don’t know about making decisions, Harvard Business Review, Vol 3, pp. 22-32
Gigerenzer, G., (1991). How to make cognitive illusions disappear: Beyond ‘Heuristics and Biases’. European Review of Social Psychology, Vol. 2, pp. 83-115.
Gigerenzer, G., (2008). Why Heuristics Work, Perspectives on Psychological Science, Vol. 3 (1), pp. 20-29.
Gigerenzer, G., & Gaissmaier, W., (2011). Heuristic Decision Making, Annual review of Psychology, Vol. 62, pp. 451-482.
Goldstein, D. G., & Gigerenzer, G., (2009). Fast and Frugal Forecasting, International Journal of Forecasting, Vol. 25, pp. 760-772.
Hall, P., & Weaver, L. (2001). Interdisciplinary education and teamwork: a long and winding road, Medical Education, Vol 35, pp. 867-875.
Horwitz, S., & Horwitz, I. (2007). The effects of team diversity on team outcomes: A meta- analytic review of team demography. Journal of Management, Vol 33, 987-1015.
Hong, L. & Page, S.E., (1998). Diversity and optimality. Santa Fe Institute. April
Hong, L. & Page, S.E., (2004). Groups of Diverse Problem Solvers Can Outperform Groups of High-Ability Problem Solvers, PNAS, Vol. 101 (46), pp. 16385-16389
Hotaling, J. M., Fakharl, P., & Busemeyer, J. R., (2015). Dynamic Decision Making, International Encyclopaedia of the Social & Behavioural Sciences, Vol 2, pp 709-714.
Jackson, S.E., May, K.E., Whitney, K., Guzzo, R.A. & Salas, E., (1995). Understanding the dynamics of diversity in decision-making teams. Team effectiveness and decision making in organizations, Vol. 204, p.261.
Johansen, B., & Euchner, J., (2013) Navigating the VUCA World, Research-Technology Management, Vol. 56 (1), pp. 10-15
Kahneman, D., (2011). Thinking, Fast and Slow, New York: Farrar, Straus and Giroux.
Kahneman D, Klein G. (2009). Conditions for intuitive expertise: a failure to disagree. Am Psychol. Vol.64( 6), pp. 515–26.
Kahneman, D., & Tversky, A. (1984). Choices, Values, and Frames, Amercian Psychologist, Vol. 39 (4), pp 341-350.
Kerr, N. L., & Tinsdale, S. R., (2004). Group Performance and Decision Making, Annual review Psychology, Vol. 55, pp. 623-655.
Kitchener, K. S., (1983). Cognition, Metacognition, and Epistemic Cognition, Journal of Human Development, Vol. 26, pp. 222-232.
Klein, G.A., 1993. A recognition-primed decision (RPD) model of rapid decision making. Decision making in action: Models and methods, 5(4), pp.138-147.
Klein, G. A., & Klein, G. A. (2004). The power of intuition: how to use your gut feelings to make better decisions at work. Currency
Lanceley, A., Savage, J., Menon, U. and Jacobs, I., (2008). Influences on multidisciplinary team decision-making. International Journal of Gynecologic Cancer, Vol. 18(2).
Larrick, R. P., & Feiler, D. C., (2015) Expertise in Decision Making, in Keren, G., & Wu, G., (eds) The Wiley Blackwell Handbook of Judgment and Decision Making, First Edition, pp. 696-721, John Wiley & Sons, Ltd.
Leppnick, J., & Van Den Heuvel, A., (2015). The evolution of cognitive load theory and its application to medical education, Perspect Med Educ, Vol 4(3), pp 119-127.
Lipshitz, R., Klein, G., Oransana, J., & Salas, E., (2001) ‘Focus article: Taking stock
of naturalistic decision making’, Journal of Behavioural Decision Making, Vol 14,
pp. 331-352.
Loewenstein, G., Rick, S. and Cohen, J.D., (2008). Neuroeconomics. Annu. Rev. Psychol., 59, pp.647-672.
Lyle, J., (2010). Coaches’ decision making: A naturalistic decision making analysis. In: Sports coaching: Professionalisation and practice. Churchill Livingstone Elsevier pp.27-41
Lyle, JWB and Muir, B (2020) Coaches’ decision making. In: The Routledge International Encyclope- dia of Sport and Exercise Psychology. Routledge, London.
McCloy, R. A., Beaman, C. P., Frosch, C. A. and Goddard, K. (2010) Fast and frugal framing effects? Journal of Experimental Psychology: Learning, Memory & Cognition, 36 (4). pp. 1043-1052.
Mello, A., & Rentsch, J, R. (2015). Cognitive Diversity in Teams: A Multi-Disciplinary Review. Small Group research, Vol 46 (6), pp623-658.
Mesmer-Magnus, J.R. and DeChurch, L.A., (2009). Information sharing and team performance: a meta-analysis. Journal of applied psychology, Vol. 94 (2), p.535.
Miller, T., Miller, T., McCann, A., Stacey, M. and Groom, P., (2020). Cognitive psychology, the multidisciplinary operating theatre team, and managing a cannot intubate, cannot oxygenate emergency. British Journal of Anaesthesia, 125(1), pp.e12-e15.
Milkman, K.L., Chugh, D., & Bazerman, M. H., (2009). How can decision making be improved? Perspectives on Psychological Science, Vol. 4 (4), pp. 379-383.
Mitchell, R., Nicolas, S., Boyle, B., (2009). The role of openness to cognitive diversity and group processes in knowledge creation, Small Group Research, Vol 40 (5), pp 534-554.
Mitchell, R., Boyle, B., O’Brien,R., Malik, A., Tian, K., Parker, V., Giles, M., Joyce, P., Chiang, V., (2016). Balancing cognitive diversity and mutual understanding in multidisciplinary teams, Health Care Management Review. 2016; Aug 27
Nash, C. and Collins, D., (2006). Tacit knowledge in expert coaching: Science or art?. Quest, Vol. 58(4), pp.465-477.
Nokes, TJ, Schunn, CD & Chi, M (2010), Problem solving and human expertise. in International Encyclopedia of Education. Elsevier Ltd., pp. 265-272
Oliveira, R. F., Lobinger, B. H., & Raab, M., (2014). An adaptive toolbox approach to the route to expertise in sport, Frontiers in Psychology, Vol. 5 (709), pp. 1-4.
Page, S. E., (2007). Making the difference: Applying a Logic of Diversity, Academy of management Perspectives, Nov, pp 6-20.
Page, S. E., (2014). Where Diversity Comes from and Why it Matters, European Journal of Social Psychology, Vol. 44, pp 267-279.
Page, S. E. (2017). The diversity bonus: How great teams pay off in the knowledge economy. Princeton University Press.
Proudfoot, J., Jayasinghe, U.W., Holton, C., Grimm, J., Bubner, T., Amoroso, C., Beilby, J. & Harris, M.F., (2007). Team climate for innovation: what difference does it make in general practice?. International Journal for Quality in Health Care, Vol. 19(3), pp.164-169.
Raab, M., (2012). Simple Heuristics in Sport, International Review of Sport and Exercise Psychology, Vol. 5 (2), pp. 104-120.
Raab, M., & Gigerenzer, G., (2015). The power of simplicity: a fast-and-frugal heuristics approach to performance science, Frontiers in Psychology, Vol. 6 (1672), pp. 1-6
Reid, C., Stewart, E. and Thorne, G., (2004). Multidisciplinary sport science teams in elite sport: comprehensive servicing or conflict and confusion?. The Sport Psychologist, Vol. 18 (2), pp.204-217.
Rijpma, J.A., 1997. Complexity, tight–coupling and reliability: Connecting normal accidents theory and high reliability theory. Journal of contingencies and crisis management, 5(1), pp.15-23.
Rittel, H. W. J., & Webber, M. M., (1973). Dilemmas in a General Theory of Planning, Policy Sciences, Vol 4 (2), pp 155-169.
Roberto, M., (2004). Strategic Decision Making processes: Beyond the efficiency-consensus trade off, Group & Organization Management, Vol. 29 (6), pp. 625-658.
Sae-Lim, P., (2019). Leadership competencies in turbulent environment. Journal of MCU Peace Studies Vol, 7(6), p.11552266.
Salas, E., Rosen, M.A. and DiazGranados, D., 2010. Expertise-based intuition and decision making in organizations. Journal of management, 36(4), pp.941-973.
Sanfrey, A. G., Loewenstein, G., McClure, S. M., & Cohen, J. D., (2006). Neuroeconomics: cross-currents in research on decision-making, Trends in Cognitive Sciences, Vol 10 (3), pp 108-116.
Sanfrey, A. G., & Stallen, M., (2015) Neurosciences Contribution to Judgment and Decision Making: Opportunities and Limitations, in Keren, G., & Wu, G., (eds) The Wiley Blackwell Handbook of Judgment and Decision Making, First Edition, pp. 268 294, John Wiley & Sons, Ltd.
Sediri, S., Trommetter, M., Frascaria-Lacoste, N. and Fernández-Manjarrés, J., (2020). Transformability as a Wicked Problem: A Cautionary Tale?. Sustainability, Vol. 12(15), p.5895.
Simon, H. A., (1959). Theories of decision-making in economics and behavioural science, The American Economic Review, Vol. 49 (3), pp. 253-283
Simon, H.A., (1990). Bounded rationality. In Utility and probability (pp. 15-18). Palgrave Macmillan, London.
Shum, S. B., (2000). Representing Hard-to-Formalise, Contextualised, Multidisciplinary, Organisational Knowledge, AAAI Technical Report, pp134-141.
Shraw, G., Dunkle, M. E., & Bendixen, L, D. (1995). Cognitive Processes in Well Defined and Ill Defined Problem Solving, Applied Cognitive Psychology, Vol 9, pp523-538
Tversky, A., & Kahneman, D., (1974), Judgement under Uncertainty: Heuristics and Biases, Science, New Series, Vol. 185 (4157), pp. 1124-1131.
Ullén, F., de Manzano, Ö. and Mosing, M.A., 2018. Neural mechanisms of expertise. In The Oxford Handbook of Expertise.
Walinga, J. (2017), From Barriers to Breakthroughs: Leading Others Past Wicked Problems to Inclusive Practice Using Integrated Focus, Breaking the Zero-Sum Game (Building Leadership Bridges), Emerald Publishing Limited, Bingley, pp. 395-417
West, D., & Dellana, S., (2009). Diversity of ability and cognitive style for group decision processes, Information Sciences, Vol 179, pp542-558
West, M.A. and Lyubovnikova, J., 2012. Real teams or pseudo teams? The changing landscape needs a better map. Industrial and Organizational Psychology, 5(1), pp.25-28.
Westbrook, A., & Braver, T. S., (2015). Cognitive effort: a neuroeconomicapproach, Cognitive Affect Behavioural Neuroscience. Vol 15 (2), pp 395–415.
Weick, K.E., (2004). Normal accident theory as frame, link, and provocation. Organization & Environment, Vol. 17 (1), pp.27-31.
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Part 1: The Problem Space