Lilian De Menezes

Lilian de Menezes joined City University Business School in 2002, after over ten years of academic work at London Business School (PhD student and teaching assistant, Decision Sciences), London School of Economics (Research Officer, Analysis of Large and Complex Data-sets), Goldsmiths College, University of London (Lecturer Dept. of Mathematical and Computing Sciences).

Lilian has accumulated industrial experience from working in a range of projects in forecasting and operations research, where she has held positions as management consultant, systems and information analyst. Her research contributions range from large empirical studies of the changing world of work to the development of forecasting/statistical methodology.

Lilian is a member of the European Operations Management Association, thenInternational Institute of Forecasters, the Economic Modeling Network and the Royal Statistical Society.

Qualifications

• BSc, Pontifícia Universidade Católica, Brazil
• MSc, Pontifícia Universidade Católica, Brazil
• PhD, London Business School, United Kingdom

Visiting Appointments

International Research Associate, Research Centre for Energy Management (RCEM) at ESCP Europe

Memberships of Professional Organisations

• The Work Family Research Network, May 2014 – present
• The International Institute of Forecasters, Jun 1997 – present
• The Royal Statistical Society, Nov 1993 – present

Awards

• European Energy Exchange (EEX) (2015) Excellence Award 2015
• Melanie Houllier's PhD thesis: "Integration of Liberalised European Electricity Markets“ awarded best doctoral thesis.
• International Journal of Operations and Production Management (2014) Best paper award
• Best paper award for "Job satisfaction and quality management: an empirical analysis".

Languages

Portuguese (can read, write, speak, understand spoken and peer review).

Expertise

Primary Topics

• Management Science
• Mathematical & Quantitative Methods
• Operations Management
• Statistics

Additional Topics

• Commodities
• Econometric & Statistical Methods
• Government Policy & Regulation
• Human Resource Management
• Industrial Relations/Labour Studies
• Multivariate statistics

Industries/Professions

• computing
• energy
• management consulting
• manufacturing

Geographic Areas

• Americas - Latin
• Europe

Research

Lilian's research covers statistical and mathematical modelling for management and decision making, as well as theory testing and development in different areas, e.g.: electricity markets, operations and the management practices-performance nexus.

Research Topics

Forecasting Methods & Combinations of Forecasts

Time series models are developed, combined and applied to data from electricity and financial markets.

Management Practices and Performance

Potential impacts of different work and organisational practices are examined at employee, workplace and organisational levels. Studies of quality management and the integration of operations and human resource managements are being developed.

Energy Markets

The integration of European energy markets and the potential effects of different factors (e.g. renewable generation, regulation and national policies) are being investigated.

Flexible Working Arrangements

Different theories on determinants and implications of new modes of working are examined. Models are developed. Empirical studies in different contexts are being conducted.

Chapters (2)

• Wood, S. and de Menezes, L.M. (2007). Family-Friendly, Equal Opportunity And High Involvement Management In Britain. In Boxall, P., Purcell, J. and Wright, P. (Eds.), The Oxford Handbook of Human Resource Management (pp. 581–598). Oxford University Press. ISBN 978-0-19-928251-7.
• de Menezes, L.M., Bartholomew, D.J. and Tzamourani, P. (1996). Latent Trait and Latent Class Models Applied to Survey Data. In Rost, J. and Langeheime, R. (Eds.), Applications of Latent Trait and Latent Class Models in Social Sciences (pp. 219–232). Munster: Waxmann Verlag.

Journal Articles (33)

• De Menezes, L.M. and Kelliher, C. (2016). Flexible Working, Individual Performance and Employee Attitudes: Comparing Formal and Informal Arrangements. Human Resource Management . doi:10.1002/hrm.21822.
• de Menezes, L.M. and Houllier, M.A. (2016). Reassessing the integration of European electricity markets: A fractional cointegration analysis. Energy Economics, 53, pp. 132–150. doi:10.1016/j.eneco.2014.10.021.
• Escrig, A.B. and de Menezes, L.M. (2016). What is the effect of size on the use of the EFQM excellence model? International Journal of Operations and Production Management, 36(12), pp. 1800–1820. doi:10.1108/IJOPM-11-2014-0557.
• de Menezes, L.M., Houllier, M.A. and Tamvakis, M. (2016). Time-varying convergence in European electricity spot markets and their association with carbon and fuel prices. Energy Policy, 88, pp. 613–627. doi:10.1016/j.enpol.2015.09.008.
• Rendon, J. and de Menezes, L.M. (2016). Structural combination of neural network models. 2016 IEEE 16TH INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW) pp. 406–413. doi:10.1109/ICDMW.2016.162.
• de Menezes, L.M. and Wood, S. (2015). Quality management, job-related contentment and performance: An empirical analysis of British workplaces. Evidence-based HRM, 3(2), pp. 106–129. doi:10.1108/EBHRM-05-2014-0016.
• de Menezes, L.M. and Houllier, M.A. (2015). Germany's nuclear power plant closures and the integration of electricity markets in Europe. Energy Policy, 85, pp. 357–368. doi:10.1016/j.enpol.2015.05.023.
• Escrig, A.B. and De Menezes, L.M. (2015). What characterizes leading companies within business excellence models? An analysis of "eFQM Recognized for Excellence" recipients in Spain. International Journal of Production Economics, 169, pp. 362–375. doi:10.1016/j.ijpe.2015.08.019.
• Wood, S., van Veldhoven, M., Croon, M. and de Menezes, L.M. (2012). Enriched job design, high involvement management and organizational performance: The mediating roles of job satisfaction and well-being. Human Relations, 65(4), pp. 419–445. doi:10.1177/0018726711432476.
• de Menezes, L.M. (2012). Job satisfaction and quality management: An empirical analysis. International Journal of Operations and Production Management, 32(3), pp. 308–328. doi:10.1108/01443571211212592.
• de Menezes, L.M. and Kelliher, C. (2011). Flexible Working and Performance: A Systematic Review of the Evidence for a Business Case. International Journal of Management Reviews, 13(4), pp. 452–474. doi:10.1111/j.1468-2370.2011.00301.x.
• Wood, S. and de Menezes, L.M. (2011). High involvement management, high-performance work systems and well-being. International Journal of Human Resource Management, 22(7), pp. 1586–1610. doi:10.1080/09585192.2011.561967.
• De Menezes, L.M., Wood, S. and Gelade, G. (2010). The integration of human resource and operation management practices and its link with performance: A longitudinal latent class study. Journal of Operations Management, 28(6), pp. 455–471. doi:10.1016/j.jom.2010.01.002.
• Wood, S.J. and de Menezes, L.M. (2010). Family-friendly management, organizational performance and social legitimacy. International Journal of Human Resource Management, 21(10), pp. 1575–1597. doi:10.1080/09585192.2010.500484.
• Wood, S. and de Menezes, L.M. (2010). Seven Steps to Success. Quality World pp. 37–40.
• Wood, S. and de Menezes, L. (2008). Comparing perspectives on high involvement management and organizational performance across the British economy. International Journal of Human Resource Management, 19(4), pp. 639–683. doi:10.1080/09585190801953673.
• Nikolaev, N.Y. and de Menezes, L.M. (2008). Sequential Bayesian kernel modelling with non-Gaussian noise. Neural Networks, 21(1), pp. 36–47. doi:10.1016/j.neunet.2007.08.001.
• Zaleska, K.J. and de Menezes, L.M. (2007). Human resources development practices and their association with employee attitudes: Between traditional and new careers. Human Relations, 60(7), pp. 987–1018. doi:10.1177/0018726707081155.
• de Menezes, L.M. and Lasaosa, A. (2007). Comparing fits of latent trait and latent class models applied to sparse binary data: An illustration with human resource management data. Journal of Applied Statistics, 34(3), pp. 303–319. doi:10.1080/02664760601004908.
• de Menezes, L.M. and Nikolaev, N.Y. (2006). Forecasting with genetically programmed polynomial neural networks. International Journal of Forecasting, 22(2), pp. 249–265. doi:10.1016/j.ijforecast.2005.05.002.
• de Menezes, L.M. and Wood, S. (2006). The reality of flexible work systems in Britain. International Journal of Human Resource Management, 17(1), pp. 106–138. doi:10.1080/09585190500366599.
• Taylor, J.W., de Menezes, L.M. and McSharry, P.E. (2006). A comparison of univariate methods for forecasting electricity demand up to a day ahead. International Journal of Forecasting, 22(1), pp. 1–16. doi:10.1016/j.ijforecast.2005.06.006.
• De Menezes, L.M. (2004). Principles of forecasting. JOURNAL OF FORECASTING, 23(3), pp. 233–235. doi:10.1002/for.911.
• Wood, S.J., de Menezes, L.M. and Lasaosa, A. (2003). Family-friendly management in Great Britain: Testing various perspectives. Industrial Relations, 42(2), pp. 221–250. doi:10.1111/1468-232X.00288.
• de Menezes, L.M., Wood, S. and Lasaosa, A. (2002). Quality Time. Centre Piece, 7(1), pp. 26–29.
• de Menezes, L.M. (2000). Review of N. Nakicenovic, A. Grubler and A. McDonald, Global Energy Perspectives. International Journal of Forecasting, 16(1), pp. 133–135. doi:10.1016/S0169-2070(99)00036-9.
• de Menezes, L.M., W. Bunn, D. and Taylor, J.W. (2000). Review of guidelines for the use of combined forecasts. European Journal of Operational Research, 120(1), pp. 190–204. doi:10.1016/S0377-2217(98)00380-4.
• Menezes, L.M. (1999). On fitting latent class models for binary data: The estimation of standard errors. British Journal of Mathematical and Statistical Psychology, 52(2), pp. 149–168. doi:10.1348/000711099159026.
• de Menezes, L.M. and Bunn, D.W. (1998). The persistence of specification problems in the distribution of combined forecast errors. International Journal of Forecasting, 14(3), pp. 415–426. doi:10.1016/S0169-2070(98)00042-9.
• Wood, S. and de Menezes, L. (1998). High Commitment Management in the U.K.: Evidence from the Workplace Industrial Relations Survey, and Employers' Manpower and Skills Practices Survey. Human Relations, 51(4), pp. 485–515. doi:10.1177/001872679805100403.
• Menezes, L.M.D. and Bartholomew, D.J. (1996). New Developments in Latent Structure Analysis Applied to Social Attitudes. Journal of the Royal Statistical Society. Series A (Statistics in Society), 159(2), pp. 213–213. doi:10.2307/2983169.
• de Menezes, L. and Bunn, D. (1993). Diagnostic Tracking and Model Specification in Combined Forecasts of UK Inflation. Journal of Forecasting, 12, pp. 559–572.
• De Menezes, M. and Bunn, D. (1991). Specification of predictive distribution from a combination of forecasts. Methods of Operations Research, 60, pp. 397–405

Course Directorship

• 2012 -2013, MSc in Supply Chain Trade and Finance, Co-director

Subject/Academic Leadership

• 2013 -2016, Operations and Supply Chain Management, Subject Area Leader

Editorial Activities (15)

• Energy Economics, Referee, 2013 – present.
• British Journal of Management, Referee, 2013 – present.
• European Journal of Operational Research, Referee, 2013 – present.
• Energies, Referee, 2012 – present.
• International Journal of Human Resource Management, Referee, 2012 – present.
• Work Employment and Society, Referee, 2012 – present.
• Oxford Bulletin of Economics and Statistics, Referee, 2011 – present.
• International Journal of Manpower, Referee, 2010 – present.
• Physics Letters, Referee, 2009 – 2010.
• IEEE Transactions in Power Systems, Referee, 2008 – present.
• Work Employment and Society, Member of Editorial Board, 2007 – 2009.
• Human Relations, Referee, 2007 – present.
• International Journal of Production Economics, Referee, 2007 – present.
• Neurocomputing, Referee, 2006 – present.
• Computers and Industrial Engineering, Referee, 2005 – present.