A review of implementation of behavioural aspects in the application of OR in healthcare

References

• Arango-Aramburo, S., van Ackere, A., & Larsen, E. R. (2016). Simulation and laboratory experiments: Exploring self-organizing behavior in a collective choice model. In M. Kunc, J. Malpass, & L. White (Eds.), Behavioral operational research: Theory, methodology and practice (pp. 87–104). London: Palgrave Macmillan.
   Google Scholar
• Boudreau, J., Hopp, W., McClain, J. O., & Thomas, L. J. (2003). On the interface between operations and human resource management. Manufacturing and Service Operations Management, 5(3), 179–202.
   Google Scholar
• Brailsford, S. C. (2016). Healthcare: Human behavior in simulation models. In Behavioral operational research (pp. 263–280). London: Palgrave Macmillan.
   Google Scholar
• Brailsford, S. C., & Harper, P. R. (2008). OR in health. European Journal of Operational Research, 185(3), 901–904.
   Web of Science ®Google Scholar
• Brailsford, S. C., Harper, P. R., Patel, B., & Pitt, M. (2009). An analysis of the academic literature on simulation and modeling in healthcare. Journal of Simulation, 3, 130–140.
   Web of Science ®Google Scholar
• Brailsford, S. C., Harper, P. R., & Sykes, J. (2012). Incorporating human behaviour in simulation models of screening for breast cancer. European Journal of Operational Research, 219(3), 491–507.
   Web of Science ®Google Scholar
• Brailsford, S. C., & Schmidt, B. (2003). Towards incorporating human behaviour in models of health care systems: An approach using discrete event simulation. European Journal of Operational Research, 150(1), 19–31.
   Web of Science ®Google Scholar
• Brailsford, S., & Vissers, J. (2011). OR in healthcare: A European perspective. European Journal of Operational Research, 212(2), 223–234.
   Web of Science ®Google Scholar
• Crossan, M. M., Lane, H. W., & White, R. E. (1999). An organizational learning framework: From intuition to institution. Academy of Management Review, 24(3), 522–537.
   Web of Science ®Google Scholar
• Franco, L. A., & Hämäläinen, R. P. (2016) Engaging with behavioral operational research: On methods, actors and praxis. In M. Kunc, J. Malpass, & L. White (Eds.), Behavioral operational research: Theory, methodology and practice (pp. 3–25). London: Palgrave Macmillan.
   Google Scholar
• Gary, M. S., Kunc, M., Morecroft, J. D., & Rockart, S. F. (2008). System dynamics and strategy. System Dynamics Review, 24(4), 407–429.
   Web of Science ®Google Scholar
• Gogi, A., Tako, A. A., & Robinson, S. (2016) An experimental investigation into the role of simulation models in generating insights. European Journal of Operational Research, 14(1), 126–133.
   Google Scholar
• Gonçalves, P., & Villa, S. (2016). Misperception of behavioral operations and bodies of knowledge. In M. Kunc, J. Malpass, & L. White (Eds.), Behavioral operational research: Theory, methodology and practice (pp. 105–135). London: Palgrave Macmillan.
   Google Scholar
• Greasley, A., & Owen, C. (2016). Behavior in models: A framework for representing human behavior. In M. Kunc, J. Malpass, & L. White (Eds.), Behavioral operational research: Theory, methodology and practice (pp. 47–63). Palgrave Macmillan.
   Google Scholar
• Hämäläinen, R. P., Luoma, J., & Saarinen, E. (2013) On the importance of behavioral operational research: The case of understanding and communicating about dynamic systems. European Journal of Operational Research, 228(3), 623–634.
   Web of Science ®Google Scholar
• Huh, K. K., & Kunc, M. (2016). Supporting strategy: Behavioral influences on resource conceptualization processes. In M. Kunc, J. Malpass, & L. White (Eds.), Behavioral operational research: Theory, methodology and practice (pp. 337–356). London: Palgrave Macmillan.
   Google Scholar
• Hulshof, P. J. H., Boucherie, R. J., Van Essen, J. T., Hans, E. W., Hurink, J. l., Kortbeek, N., … Zonderland, M. E. (2011) ORchestra: An online reference database of OR/MS literature in health care. Health Care Management Science, 14(4), 383–384.
   Web of Science ®Google Scholar
• Hulshof, P. J. H., Kortbeek, N., Boucherie, R. J., Hans, E. W., & Bakker, P. J. M. (2012). Taxonomic classification of planning decisions in health care: A structured review of the state of the art in OR/MS. Health Systems, 1(2), 129–175.
   Google Scholar
• Katsikopoulos, K. V. (2016). Behavior with models: The role of psychological heuristics in operational research. In M. Kunc, J. Malpass, & L. White (Eds.), Behavioral operational research: Theory, methodology and practice (pp. 27–46). London: Palgrave Macmillan.
   Google Scholar
• Katsikopoulos, K. V., Durbach, I., & Stewart, T. (2017). When should we use simple models? A synthesis of various research strands. Omega. doi:10.1016/j.omega.2017.09.005.
   Web of Science ®Google Scholar
• Kazakov, R., & Kunc, M. (2016). Foreseeing the dynamics of strategy: An anticipatory systems perspective. Systemic Practice and Action Research, 29(1), 1–25.
   Web of Science ®Google Scholar
• Kunc, M., Malpass, J., & White, L. (Eds.). (2016). Behavioral operational research: Theory, methodology and practice. London, UK: Palgrave Macmillan.
   Google Scholar
• Pidd, MI. 2009. Tools for Thinking: Modelling in Management Science (3rd Ed.). Wiley & Sons.
   Google Scholar
• Liddell, A., & McMahon, L. (2006). Return to the windmill—Behavioral modeling and the future. Health Services Journal. Retrieved from http://www.hsj.co.uk/return-to-the-windmillbehavioural-modelling-and-the-future/3628.article
   Google Scholar
• Sachdeva, R., Williams, T., & Quigley, J. (2007). Mixing methodologies to enhance the implementation of healthcare operational research. Journal of the Operational Research Society, 58(2), 159–167.
   Web of Science ®Google Scholar
• Thompson, K., Duintjer Tebbens, R. J., Pallansch, M. A., Wassilak, S. G., & Cochi, S. L. (2015). Polio eradicators use integrated analytical models to make better decisions. Interfaces, 45(1), 5–25.
   Web of Science ®Google Scholar
• Torres, J. P., Kunc, M., & O'Brien, F. (2017). Supporting strategy using system dynamics. European Journal of Operational Research, 260(3), 1081–1094.
   Web of Science ®Google Scholar
• White, L. (2016). Behavior beyond the model. In M. Kunc, J. Malpass, & L. White (Eds.), Behavioral operational research: Theory, methodology and practice (pp. 68–84). London: Palgrave Macmillan.
   Google Scholar

• Powell J.H., Mustafee N. (2017). Widening requirements capture with soft methods: An investigation of hybrid M&S studies in health care, Journal of the Operational Research Society, 68, 10: 1211–1222.
   Web of Science ®Google Scholar
• Kang H., Nembhard H.B., Ghahramani N., Curry W. (2017) A system dynamics approach to planning and evaluating interventions for chronic disease management, Journal of the Operational Research Society, 1, 21.
   Google Scholar
• Smith H., Cakebread D., Battarra M., Shelbourne B., Cassim N., Coetzee L. (2017) Location of a hierarchy of HIV/AIDS test laboratories in an inbound hub network: Case study in South Africa, Journal of the Operational Research Society, 68,9: 1068–1081.
   Web of Science ®Google Scholar
• Onggo B.S.S., Proudlove N.C., D’Ambrogio S.A., Calabrese A., Bisogno S., Levialdi Ghiron N. (2017) A BPMN extension to support discrete-event simulation for healthcare applications: an explicit representation of queues, attributes and data-driven decision points, Journal of the Operational Research Society, 1: 15.
   Google Scholar
• Çapar I., Melouk S.H., Keskin B.B. (2017). Alternative metrics to measure EMS system performance, Journal of the Operational Research Society, 68, 7: 792–808
   Web of Science ®Google Scholar
• Jahangirian M., Taylor S.J.E., Young T., Robinson S. (2017). Key performance indicators for successful simulation projects, Journal of the Operational Research Society, 68, 7: 747–765.
   Web of Science ®Google Scholar
• Knight V., Komenda I., Griffiths J. (2017). Measuring the price of anarchy in critical care unit interactions, Journal of the Operational Research Society, 68, 6: 630–642.
   Web of Science ®Google Scholar
• Sonnessa M., Tanfani E., Testi A. (2017). An agent-based simulation model to evaluate alternative co-payment scenarios for contributing to health systems financing, Journal of the Operational Research Society, 68, 5: 591–604.
   Web of Science ®Google Scholar
• Demir E., Southern D. (2017) Enabling better management of patients: Discrete event simulation combined with the STAR approach, Journal of the Operational Research Society, 68, 5: 577–590.
   Web of Science ®Google Scholar
• Vile J.L., Allkins E., Frankish J., Garland S., Mizen P., Williams J.E. (2017) Modelling patient flow in an emergency department to better understand demand management strategies, Journal of Simulation, 11, 2: 115–127.
   Web of Science ®Google Scholar
• Thorsen A., McGarvey R.G. (2017) Efficient frontiers in a frontier state: Viability of mobile dentistry services in rural areas, European Journal of Operational Research.
   Web of Science ®Google Scholar
• Walsh M., Kittler M.G., Mahal D. (2016) Towards a new paradigm of healthcare: Addressing challenges to professional identities through Community Operational Research, European Journal of Operational Research.
   Web of Science ®Google Scholar
• Liu S., Osgood N., Gao Q., Xue H., Wang Y. (2016) Systems simulation model for assessing the sustainability and synergistic impacts of sugar-sweetened beverages tax and revenue recycling on childhood obesity prevention, Journal of the Operational Research Society, 67, 5: 708–721
   Web of Science ®Google Scholar
• Joubert E., Espinasse M.-A., Nakhla M. (2016) Patients flow optimization in ED: An operational research on the impacts of physician triage, Proceedings of 2015 International Conference on Industrial Engineering and Systems Management, IEEE IESM 2015: 602–608.
   Google Scholar
• Baril C., Gascon V., Miller J., Côté N. (2016) Use of a discrete-event simulation in a Kaizen event: A case study in healthcare, European Journal of Operational Research, 249, 1: 327–339.
   Web of Science ®Google Scholar
• Al-Ebbini L., Oztekin A., Chen Y. (2016) FLAS: Fuzzy lung allocation system for US-based transplantations, European Journal of Operational Research, 248,3: 1051–1065.
   Web of Science ®Google Scholar
• Gillespie J., McClean S., Garg L., Barton M., Scotney B., Fullerton K. (2016) A multi-phase DES modelling framework for patient-centred care, Journal of the Operational Research Society, 67, 10: 1239–1249.
   Web of Science ®Google Scholar
• Jahangirian M., Taylor S.J.E., Eatock J., Stergioulas L.K., Taylor P.M. (2015) Causal study of low stakeholder engagement in healthcare simulation projects, Journal of the Operational Research Society, 66, 3: 369–379.
   Web of Science ®Google Scholar
• Pessôa L.A.M., Lins M.P.E., Da Silva A.C.M., Fiszman R. (2015) Integrating soft and hard operational research to improve surgical centre management at a university hospital, European Journal of Operational Research, 245, 3: 851–861.
   Web of Science ®Google Scholar
• Ivlev I., Vacek J., Kneppo P. (2015) Multi-criteria decision analysis for supporting the selection of medical devices under uncertainty, European Journal of Operational Research, 247, 1: 216–228.
   Web of Science ®Google Scholar
• Smith H.K., Harper P.R. (2015) Can you model growth of trust? A study of the sustainability of a rural community health centre in North India, Journal of Simulation, 9, 2:170–181.
   Web of Science ®Google Scholar
• Patrick J., Nelson K., Lane D. (2015) A simulation model for capacity planning in community care, Journal of Simulation, 9, 2: 111–120.
   Web of Science ®Google Scholar
• Lyons G.J., Duggan J. (2015) System dynamics modelling to support policy analysis for sustainable health care, Journal of Simulation, 9, 2: 129–139.
   Web of Science ®Google Scholar
• Vanderby S.A., Carter M.W., Noseworthy T., Marshall D.A. (2015) Modelling the complete continuum of care using system dynamics: The case of osteoarthritis in Alberta, Journal of Simulation, 9, 2: 156–169.
   Web of Science ®Google Scholar
• Bowers J., Mould G., Marshall C. (2015) Location of services and the impact on healthcare quality: Insights from a simulation of a musculoskeletal physiotherapy service, Journal of the Operational Research Society, 66, 7: 1212–1221.
   Web of Science ®Google Scholar
• Jean C., Jankovic M., Stal-Le Cardinal J., Bocquet J.-C. (2015) Predictive modelling of telehealth system deployment, Journal of Simulation, 9, 2: 182–194.
   Web of Science ®Google Scholar
• Graber-Naidich A., Carter M.W., Verter V. (2015) Primary care network development: The regulator's perspective, Journal of the Operational Research Society, 66, 9: 1519–1532.
   Web of Science ®Google Scholar
• Madadi M., Zhang S., Henderson L.M. (2015) Evaluation of breast cancer mammography screening policies considering adherence behaviour, European Journal of Operational Research, 247, 2: 630–640.
   Web of Science ®Google Scholar
• Brittin J., Araz O.M., Nam Y., Huang T.T.-K. (2015) A system dynamics model to simulate sustainable interventions on chronic disease outcomes in an urban community, Journal of Simulation, 9, 2: 140–155.
   Web of Science ®Google Scholar
• Brailsford S., De Silva D. (2015) How many dentists does Sri Lanka need? Modelling to inform policy decisions, Journal of the Operational Research Society, 66, 9:1566–1577.
   Web of Science ®Google Scholar
• Petering M.E.H., Aydas O.T., Kuzu K., Ross A. (2015), Simulation analysis of hospital intensive care unit reimbursement policies from the triple bottom line perspective, Journal of Simulation, 9, 2, 86–98.
   Web of Science ®Google Scholar
• Innan R., Moustaghfir K. (2015) Explicating employees' behaviour for an effective subscription to healthcare policy: An application of the theory of planned behaviour, Knowledge Management Research and Practice, 13, 4: 497–507.
   Web of Science ®Google Scholar
• Kotiadis K., Tako A.A., Vasilakis C. (2014) A participative and facilitative conceptual modelling framework for discrete event simulation studies in healthcare, Journal of the Operational Research Society, 65, 2: 197–213.
   Web of Science ®Google Scholar
• Güneş E.D., Yaman H., Çekyay B., Verter V. (2014) Matching patient and physician preferences in designing a primary care facility network, Journal of the Operational Research Society, 65, 4: 483–496.
   Web of Science ®Google Scholar
• Kunc M., Kazakov R. (2013) Competitive dynamics in pharmaceutical markets: A case study in the chronic cardiac disease market, Journal of the Operational Research Society, 64, 12: 1790–1799.
   Web of Science ®Google Scholar
• Bdeir F., Hossain L., Crawford J. (2013) Emerging coordination and knowledge transfer process during disease outbreak, Knowledge Management Research and Practice, 11; 3: 241–254.
   Web of Science ®Google Scholar
• Brailsford S.C., Bolt T.B., Bucci G., Chaussalet T.M., Connell N.A., Harper P.R., Klein J.H., Pitt M., Taylor M. (2013), Overcoming the barriers: A qualitative study of simulation adoption in the NHS, Journal of the Operational Research Society, 64, 2: 157–168.
   Web of Science ®Google Scholar
• Kotiadis K., Tako A.A., Rouwette E.A.J.A., Vasilakis C., Brennan J., Gandhi P., Wegstapel H., Sagias F., Webb P. (2013) Using a model of the performance measures in Soft Systems Methodology (SSM) to take action: A case study in health care, Journal of the Operational Research Society, 64, 1: 125–137.
   Web of Science ®Google Scholar
• Bowers J., Ghattas M., Mould G. (2012) Exploring alternative routes to realising the benefits of simulation in healthcare, Journal of the Operational Research Society, 63, 10: 1457–1466.
   Web of Science ®Google Scholar
• Huang Y., Zuniga P. (2012) Dynamic overbooking scheduling system to improve patient access, Journal of the Operational Research Society, 63, 6: 810–820.
   Web of Science ®Google Scholar
• Knight V.A., Williams J.E., Reynolds I. (2012) Modelling patient choice in healthcare systems: Development and application of a discrete event simulation with agent-based decision making, Journal of Simulation, 6, 2: 92–102.
   Web of Science ®Google Scholar
• Ippoliti R., Falavigna G. (2012) Efficiency of the medical care industry: Evidence from the Italian regional system, European Journal of Operational Research, 217, 3: 643–652.
   Web of Science ®Google Scholar
• Wong H.J., Morra D., Wu R.C., Caesar M., Abrams H. (2012) Using system dynamics principles for conceptual modelling of publicly funded hospitals, Journal of the Operational Research Society, 63, 1, 79–88.
   Web of Science ®Google Scholar
• Seto I., Arkison B., Williams K. (2011) Knowledge management in a small knowledge intensive organisation: Research design process at the Cochrane Child Health Field, Knowledge Management Research and Practice, 9, 4: 378–384.
   Google Scholar
• Radaelli G., Mura M., Spiller N., Lettieri E. (2011) Intellectual capital and knowledge sharing: The mediating role of organisational knowledge-sharing climate, Knowledge Management Research and Practice, 9, 4: 342–352.
   Web of Science ®Google Scholar
• Komporozos-Athanasiou A., Oborn E., Barrett M., Chan Y.E. (2011) Policy as a struggle for meaning: Disentangling knowledge translation across international health contexts, Knowledge Management Research and Practice, 9, 3: 215–227.
   Web of Science ®Google Scholar
• Kothari A., Maclean L., Edwards N., Hobbs A. (2011) Indicators at the interface: Managing policymaker-researcher collaboration, Knowledge Management Research and Practice, 9, 3:203–214.
   Web of Science ®Google Scholar
• Kartseva V., Hulstijn J., Gordijn J., Tan Y.-H. (2010) Control patterns in a health-care network, European Journal of Information Systems, 19: 3, 320–343.
   Web of Science ®Google Scholar
• Naseer A., Eldabi T., Young T.P. (2010) RIGHT: A toolkit for selecting healthcare modelling methods, Journal of Simulation, 4, 1: 2–13.
   Web of Science ®Google Scholar
• Bowers J. (2010) Waiting list behaviour and the consequences for NHS targets, Journal of the Operational Research Society, 61, 2: 246–254.
   Web of Science ®Google Scholar
• Stevenson M.D., Simpson E.L., Rawdin A.C., Papaioannou D.E. (2010) A review of discrete event simulation in National Coordinating Centre for Health Technology Assessment-funded work and a case study exploring the cost-effectiveness of testing for thrombophilia in patients presenting with an initial idiopathic venous thromboembolism, Journal of Simulation, 4, 1: 14–23.
   Web of Science ®Google Scholar
• Hindle G.A., Franco L.A. (2009) Combining problem structuring methods to conduct applied research: A mixed methods approach to studying fitness-to-drive in the UK, Journal of the Operational Research Society, 60, 12: 1637–1648.
   Web of Science ®Google Scholar
• Bjørn P., Burgoyne S., Crompton V., MacDonald T., Pickering B., Munro S. (2009) Boundary factors and contextual contingencies: Configuring electronic templates for healthcare professionals, European Journal of Information Systems, 18, 5: 428–441.
   Web of Science ®Google Scholar
• Payton F.C., Kiwanuka-Tondo J. (2009) Contemplating public policy in HIV/AIDS online content, then where is the technology spirit, European Journal of Information Systems, 18, 3: 192–204.
   Web of Science ®Google Scholar
• Cho S., Mathiassen L., Nilsson A. (2008) Contextual dynamics during health information systems implementation: An event-based actor-network approach, European Journal of Information Systems, 17, 6: 614–630.
   Web of Science ®Google Scholar
• Azad B., King N. (2008) Enacting computer workaround practices within a medication dispensing system, European Journal of Information Systems, 17, 3: 264–278.
   Web of Science ®Google Scholar
• Mekonnen S.M., Sahay S. (2008) An institutional analysis on the dynamics of the interaction between standardizing and scaling processes: A case study from Ethiopia, European Journal of Information Systems, 17, 3: 279–289.
   Web of Science ®Google Scholar
• Karuppan C.M., Karuppan M. (2008) Resilience of super users' mental models of enterprise-wide systems, European Journal of Information Systems, 17, 1: 29–46
   Web of Science ®Google Scholar
• Lane D.C., Husemann E. (2008) System dynamics mapping of acute patient flows, Journal of the Operational Research Society, 59, 2: 213–224
   Web of Science ®Google Scholar
• Van Akkeren J., Rowlands B. (2007) An epidemic of pain in an Australian radiology practice, European Journal of Information Systems, 16, 6: 695–711.
   Web of Science ®Google Scholar
• Bhattacherjee A., Hikmet N. (2007) Physicians' resistance toward healthcare information technology: A theoretical model and empirical test, European Journal of Information Systems, 16, 6: 725–737.
   Web of Science ®Google Scholar
• Lee C.-P., Shim J.P. (2007) An exploratory study of radio frequency identification (RFID) adoption in the healthcare industry, European Journal of Information Systems, 16, 6: 712–724.
   Web of Science ®Google Scholar
• Klein R. (2007) An empirical examination of patient-physician portal acceptance, European Journal of Information Systems, 16, 6: 751–760
   Web of Science ®Google Scholar
• Jensen T.B., Aanestad M. (2007) Hospitality and hostility in hospitals: A case study of an EPR adoption among surgeons, European Journal of Information Systems, 16,6: 672–680.
   Web of Science ®Google Scholar
• Reardon J.L., Davidson E. (2007), An organizational learning perspective on the assimilation of electronic medical records among small physician practices, European Journal of Information Systems, 16, 6: 681–694
   Web of Science ®Google Scholar
• Thunhurst C. (2007) Refocusing upstream: Operational Research for population health, Journal of the Operational Research Society, 58, 2: 186–194.
   Web of Science ®Google Scholar
• Sachdeva R., Williams T., Quigley J. (2007) Mixing methodologies to enhance the implementation of healthcare operational research, Journal of the Operational Research Society, 58, 2: 159–167.
   Web of Science ®Google Scholar
• Eldabi T., Paul R.J., Young T. (2007) Simulation modelling in healthcare: Reviewing legacies and investigating futures, Journal of the Operational Research Society, 58, 2: 262–270.
   Web of Science ®Google Scholar
• Proudlove N.C., Black S., Fletcher A. (2007) OR and the challenge to improve the NHS: Modelling for insight and improvement in in-patient flows, Journal of the Operational Research Society, 58, 2: 145–158.
   Web of Science ®Google Scholar
• Mantzana V., Themistocleous M., Irani Z., Morabito V. (2007) Identifying healthcare actors involved in the adoption of information systems, European Journal of Information Systems, 16, 1: 91–102.
   Web of Science ®Google Scholar
• Checkland P., Winter M. (2006) Process and content: Two ways of using SSM, Journal of the Operational Research Society, 57, 12: 1435–1441.
   Web of Science ®Google Scholar
• Evenden D., Harper P.R., Brailsford S.C., Harindra V. (2006) Improving the cost-effectiveness of Chlamydia screening with targeted screening strategies, Journal of the Operational Research Society, 57, 12: 1400–1412.
   Web of Science ®Google Scholar
• Kotiadis K., Mingers J. (2006) Combining PSMs with hard or methods: The philosophical and practical challenges, Journal of the Operational Research Society, 57, 7: 856–867.
   Web of Science ®Google Scholar
• Scheepers R., Scheepers H., Ngwenyama O.K. (2006) Contextual influences on user satisfaction with mobile computing: Findings from two healthcare organizations, European Journal of Information Systems, 15, 3:261–268.
   Web of Science ®Google Scholar
• Wiredu G.O., Sørensen C. (2006) The dynamics of control and mobile computing in distributed activities, European Journal of Information Systems, 15, 3: 307–319.
   Web of Science ®Google Scholar
• French S., Maule A.J., Mythen G. (2005) Soft modelling in risk communication and management: Examples in handling food risk, Journal of the Operational Research Society, 56, 8: 879–888
   Web of Science ®Google Scholar
• Gogi A., Tako A.A., Robinson S. (2016) An experimental investigation into the role of simulation models in generating insights, European Journal of Operational Research, 14, 1: 126–133.
   Google Scholar
• Davidson E., Chiasson M. (2005) Contextual influences on technology use mediation: A comparative analysis of electronic medical record systems, European Journal of Information Systems, 14, 1: 6–18.
   Web of Science ®Google Scholar
• Van Der Meer R.B., Rymaszewski L.A., Findlay H., Curran J. (2005) Using OR to support the development of an integrated musculo-skeletal service, Journal of the Operational Research Society, 56, 2: 162–172.
   Web of Science ®Google Scholar
• Royston G., Halsall J., Halsall D., Braithwaite C. (2003) Operational research for informed innovation: NHS Direct as a case study in the design, implementation and evaluation of a new public service, Journal of the Operational Research Society, 54, 10: 1022–1028.
   Web of Science ®Google Scholar
• Brailsford S., Schmidt B. (2003) Towards incorporating human behaviour in models of health care systems: An approach using discrete event simulation, European Journal of Operational Research, 150, 1: 19–31.
   Web of Science ®Google Scholar
• White L. (2003). The Role of Systems Research and Operational Research in Community Involvement: A Case Study of a Health Action Zone, Systems Research and Behavioral Science, 20, 2:133–145.
   Web of Science ®Google Scholar
• Mosmans A., Praet J.-C., Dumont C. (2002) A decision support system for the budgeting of the Belgian health care system, European Journal of Operational Research, 139, 2: 449–460.
   Web of Science ®Google Scholar
• Connell N.A.D. (2001) Evaluating soft OR: Some reflections on an apparently unsuccessful’ implementation using a soft systems methodology (SSM) based approach, Journal of the Operational Research Society, 52, 2: 150–160.
   Web of Science ®Google Scholar
• Taket A., White L. (2000) Assessment of health service systems: A case study of metamodelling to explore options for future health service provision, International Journal of Services, Technology and Management, 1, 4: 320–331.
   Google Scholar
• Davies R., Brailsford S., Roderick P., Canning C., Crabbe D. (2000) Using simulation modelling for evaluating screening services for diabetic retinopathy, Journal of the Operational Research Society, 51, 4:476–484.
   Web of Science ®Google Scholar
• Townshend J.R.P., Turner H.S. (2000) Analysing the effectiveness of Chlamydia screening, Journal of the Operational Research Society, 51, 7: 812–824.
   Web of Science ®Google Scholar
• Atkinson C.J. (2000), The ‘soft information systems and technologies methodology’ (SISTeM): An actor network contingency approach to integrated development, European Journal of Information Systems, 9, 2: 104–123.
   Web of Science ®Google Scholar
• Gregory W.J., Midgley G. (2000) Planning for disaster: Developing a multi-agency counselling service, Journal of the Operational Research Society, 51, 3: 278–290.
   Web of Science ®Google Scholar
• Mather D. (2000) A simulation model of the spread of hepatitis C within a closed cohort, Journal of the Operational Research Society, 51, 6: 656–665.
   Web of Science ®Google Scholar
• Utley M., Gallivan S. (2000) Evaluation of strategies for downs syndrome screening, Journal of the Operational Research Society, 51, 3: 272–277.
   Web of Science ®Google Scholar
• Lane D.C., Monefeldt C., Rosenhead J.V. (2000) Looking in the wrong place for healthcare improvements: A system dynamics study of an accident and emergency department Journal of the Operational Research Society, 51, 5: 518–531.
   Web of Science ®Google Scholar
• Eldabi T., Paul R.J., Taylor S.J.E. (2000) Simulating economic factors in adjuvant breast cancer treatment, Journal of the Operational Research Society, 51, 4: 465–475.
   Web of Science ®Google Scholar
• Royston G., Dost A., Townshend J., Turner H. (1999) Using system dynamics to help develop and implement policies and programmes in health care in England, System Dynamics Review, 15, 3: 293–313.
   Web of Science ®Google Scholar
• Lovegrove J., Sherlaw-Johnson C., Valencia O., Gallivan S. (1999) Monitoring the performance of cardiac surgeons, Journal of the Operational Research Society, 50, 7: 684–689.
   Web of Science ®Google Scholar
• Jun J.B., Jacobson S.H., Swisher J.R. (1999) Application of discrete-event simulation in health care clinics: A survey, Journal of the Operational Research Society, 50, 2: 109–123.
   Web of Science ®Google Scholar
• Dangerfield B.C. (1999) System dynamics applications to European health care issues, Journal of the Operational Research Society, 50, 4: 345–353.
   Web of Science ®Google Scholar
• Lehaney B., Clarke S.A., Paul R.J. (1999) A case of an intervention in an outpatients department, Journal of the Operational Research Society, 50, 9: 877–891.
   Web of Science ®Google Scholar
• Mejia A., Shirazi R., Beech R., Balmer D. (1998) Planning midwifery services to deliver continuity of care, Journal of the Operational Research Society, 49, 1: 33–41.
   Web of Science ®Google Scholar
• Lehaney B., Paul R.J. (1996) The use of soft systems methodology in the development of a simulation of out-patient services at Watford general hospital, Journal of the Operational Research Society, 47, 7: 864–870.
   Web of Science ®Google Scholar
• Pellissier J.M., Hazen G.B., Chang R.W. (1996) A continuous-risk decision analysis of total hip replacement, Journal of the Operational Research Society, 47, 6: 776–793.
   Web of Science ®Google Scholar
• Bensley D.C., Watson P.S., Morrison G.W. (1995) Pathways of coronary care-a computer- simulation model of the potential for health gain, Mathematical Medicine and Biology, 12: 315–328.
   Web of Science ®Google Scholar
• Rivett P., Roberts P. (1995) Community health care in Rochdale family health services authority, Journal of the Operational Research Society, 46, 9: 1079–1089.
   Web of Science ®Google Scholar
• Smith P. (1995) Large scale models and large scale thinking: The case of the health services, Omega, 23, 2: 145–157.
   Web of Science ®Google Scholar
• Midgley G., Milne A. (1995) Creating employment opportunities for people with mental health problems: A feasibility study for new initiatives, Journal of the Operational Research Society, 4,6: 35–42.
   Google Scholar
• Stotts R.C., Kessler L.G., Hershey J.C., Hall N.G., Gruman J.G. (1994) Awarding contracts at the national institutes of health: a sensitivity analysis of the critical parameters, International Transactions in Operational Research, 1, 2: 117–124.
   Google Scholar
• Heidenberger K., Flessa S. (1993) A system dynamics model for AIDS policy support in Tanzania, European Journal of Operational Research, 70, 2: 167–176.
   Web of Science ®Google Scholar
• Worthington D. (1991). Hospital waiting list management models, Journal of the Operational Research Society, 42, 10: 833–843.
   Web of Science ®Google Scholar
• Brahimi M., Worthington D.J. (1991) Queueing models for out-patient appointment systems —a case study, Journal of the Operational Research Society, 42, 9:733–746.
   Web of Science ®Google Scholar
• Babes M., Sarma G.V. (1991) Out-patient queues at the Ibn-Rochd health centre, Journal of the Operational Research Society, 42, 10: 845–855.
   Web of Science ®Google Scholar
• Roberts C., Dangerfield B. (1990) Modelling the epidemiological consequences of HIV infection and aids: A contribution from operational research, Journal of the Operational Research Society, 41, 4: 273–289.
   Web of Science ®Google Scholar
• Beech R., Fitzsimons B.A. (1990) The application of a decision-support system for planning services within hospitals, Journal of the Operational Research Society, 41, 12: 1089–1094.
   Web of Science ®Google Scholar
• Worthington D.J. (1987) Queueing models for hospital waiting lists, Journal of the Operational Research Society, 38, 5: 413–422.
   PubMed Web of Science ®Google Scholar
• Venta E.R., Venta L.A. (1987) The diagnosis of deep-vein thrombosis: An application of decision analysis, Journal of the Operational Research Society, 38, 7: 615–624.
   Web of Science ®Google Scholar
• Davies H., Davies R. (1987) A simulation model for planning services for renal patients in Europe, Journal of the Operational Research Society, 38, 8: 693–700.
   Web of Science ®Google Scholar
• Mathews B.P., Waters C.D.J. (1986) Computerized routeing for community nurses—a pilot study, Journal of the Operational Research Society, 37, 7: 677–683.
   Web of Science ®Google Scholar
• Eaton D.J., Héctor Ml S.U., Lantigua R.R., Morgan J. (1986) Determining ambulance deployment in Santo Domingo, Dominican Republic, Journal of the Operational Research Society, 37, 2: 113–126.
   Web of Science ®Google Scholar
• Davies R.M. (1985) An interactive simulation in the health service, Journal of the Operational Research Society, 36, 7:597–606.
   PubMed Web of Science ®Google Scholar
• Hindle T., Torkzadeh G. (1985) Estimating the ‘incapacity time’ caused by home accidents particularly using expert judgements, Journal of the Operational Research Society, 36, 3: 193–201
   Web of Science ®Google Scholar
• O’Keefe R.M. (1985) Investigating outpatient departments: Implementable policies and qualitative approaches, Journal of the Operational Research Society, 36, 8: 705–712.
   PubMed Web of Science ®Google Scholar
• Boldy D., Howell N. (1985) Planning resources for children in care, Journal of the Operational Research Society, 36, 3: 183–191.
   Web of Science ®Google Scholar
• Edwards J., Luck M., Medlam S. (1983) Health visitors revisited, European Journal of Operational Research, 14, 3: 305–317.
   Web of Science ®Google Scholar
• Zalkind D.L., Shachtman R.H. (1983) A method to determine a non-economic personal value of life, Journal of the Operational Research Society, 34, 2: 145–153.
   Web of Science ®Google Scholar
• Smith P., Hagard S. (1982) Planning for a single specialty in a health district, Journal of the Operational Research Society, 33, 1, 29–39
   Web of Science ®Google Scholar
• Holdway A., Partridge M. (1981) Operational research in social security, Omega, 9, 5: 455–468.
   Web of Science ®Google Scholar
• Nicholls I. (1981) Joint planning in Dudley-the role of balance of care, Omega, 9, 5: 501–508.
   Web of Science ®Google Scholar
• Burton R.M., Dellinger D.C., Damon W.W., Pfeiffer E.A. (1978) A role for operational research in health care planning and management teams, Journal of the Operational Research Society, 29, 7: 633–641.
   Web of Science ®Google Scholar
• Gibbs R.J. (1978) The use of a strategic planning model for health and personal social services, Journal of the Operational Research Society, 29, 9: 875–883.
   Web of Science ®Google Scholar
• Barber B. (1977) The implementation and utilisation of operational research in the reorganised National Health Service Part II, European Journal of Operational Research, 1, 3: 146–153.
   Google Scholar
• Smith A.G., Gregory K., Maguire J.D. (1975) Operational research for the hospital supply service, Operational Research Quarterly, 26, 2 ii: 375–388.
   Google Scholar