Dr. Pedro Lorca

School of Business and Economics

University of Oviedo, Spain

Email: plorca@uniovi.es

Qualifications

Ph.D., University of Oviedo, Spain

M.S., University of Oviedo, Spain

B.S., University of Oviedo, Spain

Publications (Selected)

1. Lorca, P.; De Andrés, J.; Martínez, A.B. (2016) “Does web accessibility differ among banks?” World Wide Web, 19(3), pp. 351-373.
2. De Andrés Suaréz, J.; Fernández-Lanvin, D.; Lorca, P. (2015) “Cost estimation in software engineering projects with web components development”, Dyna-Colombia ,82(192), pp. 266-275.
3. Lorca, P.; Landajo, M.; De Andrés Suárez, J. (2014) “Nonparametric Quantile Regression-Based Classifiers for Bankruptcy Forecasting”, Journal of Forecasting, 33(2), pp. 124-133.
4. De Andrés Suárez, J.; Landajo Álvarez, M.; Lorca Fernández, P. (2012) “Bankruptcy prediction models based on multinorm analysis: an alternative to accounting ratios”, Knowledge-Based Systems, 30, pp. 67-77.
5. Sánchez Lasheras, F.; De Andrés Suárez, J.; Lorca Fernández, P.; De Cos-Juez, F.J. (2012) “A hybrid device for the solution of sampling bias problems in the forecasting of firms’ bankruptcy”, Expert Systems with Applications, 39(8), pp. 7512-7523.
6. Lorca Fernández, P.; De Andrés Suárez, J.; Martínez Prieto, A.B. (2012): “Size and culture as determinants of Web policy of listed firms. The case of Web Accessibility in Western European countries”, Journal of the American Society for Information Science and Technology, 63(2), pp. 392-405.
7. De Andrés Suárez, J.; Lorca Fernández, P.; Labra Gayo, J.E. (2012) “The effects of ERP implementations on the profitability of big firms: The case of Spain”, The International Journal of Technology Management, 59(1-2), pp. 22-44.
8. De Andrés Suárez, J.; Lorca Fernández, P.; Cos Juez, F.J. de; Sánchez-Lasheras, F. (2012) “Bankruptcy prediction and credit scoring: A review of recent developments based on hybrid systems and some related patents”, Recent Patents on Computer Science, 5(1), pp. 11-20.
9. Lorca Fernández, P.; De Andrés Suárez, J. (2011) “Performance and Management Independence in the ERP Implementations in Spain. A dynamic view”, Information Systems Management, 28(2), pp. 147-164.
10. De Andrés Suárez, J.; Lorca Fernández, P.; Cos Juez, F.J. de; Sánchez-Lasheras, F. (2011) “Bankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS)”, Expert Systems with Applications, 38(3), pp. 1866-1875.
11. De Andrés Suárez, J.; Lorca Fernández, P.; Martínez, A.B., (2010) “Factors Influencing Web Accessibility of Big Listed Firms”, Online Information Review, 34(1), pp. 75-97.
12. De Andrés Suárez, J.; Lorca Fernández, P.; Martínez, A.B. (2009) “Economic and Financial Factors for the Adoption and Visibility Effects of Web Accessibility: The Case of European Banks”, Journal of the American Society for Information Science and Technology, 60(9), pp. 1769-1780.
13. De Andrés Suárez, J.; Landajo Álvarez, M.; Lorca Fernández, P. (2009) “Flexible quantile-based modeling of bivariate financial relationships: The case of ROA ratio”, Expert Systems with Applications, 36(5), pp. 8955-8966.
14. Landajo Álvarez, M.; De Andrés Suárez, J.; Lorca Fernández, P. (2008) "Measuring firm performance by using linear and non-parametric quantile regressions", Journal of the Royal Statistical Society (Series C – Applied Statistics), 57(2), pp.1-24.
15. Landajo Álvarez, M.; De Andrés Suárez, J.; Lorca Fernández, P. (2006) “Robust neural modeling for the cross-sectional analysis of accounting information”, European Journal of Operational Research, 177 (2), 1232-1252.
16. De Andrés Suárez, J.; Landajo Álvarez, M.; Lorca Fernández, P. (2005) “Forecasting business profitability by using classification techniques: a comparative analysis based on a Spanish case”, European Journal of Operational Research, 167 (2), 518-542.
17. De Andrés Suárez, J.; Lorca Fernández, P.; Bahamonde Rionda, A.; Del Coz Díaz, J.J. (2004) “The use of machine learning algorithms for the study of business profitability: a new approach based on preferences”, International Journal of Digital Accounting Research, 4 (8), 99-124.
18. De Andrés Suárez, J.; Lorca Fernández, P.; Combarro, E. F. (2002) “The sensitivity of machine learning techniques to variations in sample size: a comparative analysis”, International Journal of Digital Accounting Research, 2 (4),131-156.