Miguel Ángel
Canela

VÉLEZ-PEREIRA, A. M., DE LINARES, C., CANELA, M. Á., BELMONTE, J. (2023). A Comparison of models for the forecast of daily concentration thresholds of airborne fungal spores. Atmosphere, 14 (6), Article 1016. doi:10.3390/atmos14061016. BARROSO DEL TORO, A., TORT-MARTORELL, X., CANELA, M. Á. (2022). How shareholders react to sustainable narratives about leading European energy companies?. An event study using sentiment data from the global database for events, language and tone (GDELT). Applied Economics, 54 (30), 3482-3494. doi:10.1080/00036846.2021.2009759. ALEGRE, I., CANELA, M. Á., PASTORIZA, D. (2022). Dataset on PGA Tour tournament entry. Data in Brief, 41, Article 107952. doi:10.1016/j.dib.2022.107952. VÉLEZ-PEREIRA, A. M., DE LINARES, C., CANELA, M. Á., BELMONTE, J. (2021). Spatial distribution of fungi from the analysis of aerobiological data with a gamma function. Aerobiologia, 37 (3), 461-477. doi:10.1007/s10453-021-09696-6. PASTORIZA, DAVID, D., ALEGRE, I., CANELA, M. Á. (2021). Conditioning the effect of prize on tournament self-selection. JOURNAL OF ECONOMIC PSYCHOLOGY, 86. doi:10.1016/j.joep.2021.102414. SCHWEINSBERG, M., FELDMAN, M., STAUB, N., VAN DEN AKKER, O. R., VAN AERT, R. C. M., VAN ASSEN, M. A. L. M., LIU, Y., ALTHOFF, T., HEER, J., KALE, A., MOHAMED, Z., AMIREH, H., VENKATESH PRASAD, V., BERNSTEIN, A., ROBINSON, E., SNELLMAN, K., SOMMER, S. A., OTNER, S. M. G., ROBINSON, D., MADAN, N., SILBERZAHN, R., GOLDSTEIN, P., TIERNEY, W., MURASE, T., MANDL, B., VIGANOLA, D., STROBL, C., SCHAUMANS, C. B. C., KELCHTERMANS, S., NASEEB, C., GARRISON, S. M., YARKONI, T., CHAN, C. S. R., ADIE, P., ALABURDA, P., ALBERS, C., ALSPAUGH, S., ALSTOTT, J., NELSON, A. A., ARIÑO DE LA RUBIA, E., ARZI, A., BAHNÍK, Š., BAIK, J., WINTHER BALLING, L., BANKER, S., BARANGER, D. A. A., BARR, D. J., BARROS-RIVERA, B., BAUER, M., BLAISE, E., BOELEN, L., BOHLE CARBONELL, K., BRIERS, R. A., BURKHARD, O., CANELA, M. Á., CASTRILLO, L., CATLETT, T., CHEN, O., CLARK, M., COHN, B., COPPOCK, A., CUGUERÓ-ESCOFET, N., CURRAN, P. G., CYRUS-LAI, W., DAI, D., DALLA RIVA, G. V., DANIELSSON, H., RUSSO, R. D. F. S. M., DE SILVA, N., DERUNGS, C., DONDELINGER, F., DUARTE DE SOUZA, C., TYSON DUBE, B., DUBOVA, M., MARK DUNN, B., ADRIAAN EDELSBRUNNER, P., FINLEY, S., FOX, N., GNAMBS, T., GONG, Y., GRAND, E., GREENAWALT, B., HAN, D., HANEL, P. H. P., HONG, A. B., HOOD, D., HSUEH, J., HUANG, L., HUI, K. N., HULTMAN, K. A., JAVAID, A., JI JIANG, L., JONG, J., KAMDAR, J., KANE, D., KAPPLER, G., KASZUBOWSKI, E., KAVANAGH, C. M., KHABSA, M., KLEINBERG, B., KOUROS, J., KRAUSE, H., KRYPOTOS, A.-M., LAVBIČ, D., LING LEE, R., LEFFEL, T., YANG LIM, W., LIVERANI, S., LOH, B., LØNSMANN, D., WEI LOW, J., LU, A., MACDONALD, K., MADAN, C. R., MADSEN, L. H., MAIMONE, C., MANGOLD, A., MARSHALL, A., MATSKEWICH, H. E., MAVON, K., MCLAIN, K. L., MCNAMARA, A. A., MCNEILL, M., MERTENS, U., MILLER, D., MOORE, B., MOORE, A., NANTZ, E., NASRULLAH, Z., NEJKOVIC, V., NELL, C. S., NELSON, A. A., NILSONNE, G., NOLAN, R., O'BRIEN, C. E., O'NEILL, P., O'SHEA, K., OLITA, T., OTTERBACHER, J., PALSETIA, D., PEREIRA, B., POZDNIAKOV, I., PROTZKO, J., REYT, J.-N., RIDDLE, T., RIDHWAN OMAR ALI, A., ROPOVIK, I., ROSENBERG, J. M., ROTHEN, S., SCHULTE-MECKLENBECK, M., SHARMA, N., SHOTWELL, G., SKARZYNSKI, M., STEDDEN, W., STODDEN, V., STOFFEL, M. A., STOLTZMAN, S., SUBBAIAH, S., TATMAN, R., THIBODEAU, P. H., TOMKINS, S., VALDIVIA, A., DRUIJFF-VAN DE WOESTIJNE, G. B., VIANA, L., VILLESÈCHE, F., DUNCAN WADSWORTH, W., WANDERS, F., WATTS, K., WELLS, J. D., WHELPLEY, C. E., WON, A., WU, L., YIP, A., YOUNGFLESH, C., YU, J.-C., ZANDIAN, A., ZHANG, L., ZIBMAN, C., ... UHLMANN, E. L. (2021). Same data, different conclusions. Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis. Organizational Behavior and Human Decision Processes, 165, 228-249. doi:10.1016/j.obhdp.2021.02.003. VÉLEZ-PEREIRA, A. M., DE LINARES, C., CANELA, M. Á., BELMONTE, J. (2019). Logistic regression models for predicting daily airborne Alternaria and Cladosporium concentration levels in Catalonia (NE Spain). International Journal of Biometeorology, 63 (12), 1541 - 1553. doi:10.1007/s00484-019-01767-1. MOLESKIS, M., ALEGRE, I., CANELA, M. Á. (2019). Crowdfunding Entrepreneurial or Humanitarian Needs? The Influence of Signals and Biases on Decisions. Nonprofit and Voluntary Sector Quarterly, 48 (3), 552 - 557. doi:10.1177/0899764018802367. GÜÇLÜ, B., CANELA, M. Á. (2017). The Destructive Effect of Complex Analytics on Innovativeness. International Journal of Applied Behavioural Economics, 6 (4), 38 - 56. doi:10.4018/IJABE.2017100103. RAFECAS, M., ARRANZ, L. I., GARCÍA, M., HERNÁNDEZ, J., CANELA, M. Á. (2015). Weight Loss and Improvement of Body Composition in a Group of Women Using Food Supplements Along with Hypocaloric Diet. International Journal of Food and Nutritional Science, 2 (5), 1 - 5. doi:10.15436/2377-0619.15.038.

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N'GUESSAN, M. N., ALEGRE, I., CANELA, M. Á. (2017). Crowdfunding In Africa. An Empirical Study Of Kiva Platform Users In Sub-Saharan Africa (WP-1172-E). Barcelona: IESE. IBARRA GARZA, A., CUGUERÓ-ESCOFET, N., CANELA, M. Á. (2017). Prosocial Crowdlending in Kenya (WP-1166-E). Barcelona: IESE. MOLESKIS, M., CANELA, M. Á. (2016). Crowdfunding Success: The Case Of Kiva.Org (WP-1137-E). Barcelona: IESE. PEDREIRA, E., CANELA, M. Á. (2012). Materias primas: ¿Qué cambió en la última década? (WP-1066). GROH, A. P., LIECHTENSTEIN, H., CANELA, M. Á. (2008). International allocation determinants of institutional investments in venture capital and private equity limited partnerships (DI-726-E).

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ALEGRE, I., CANELA, M. Á. (2018). 'Marketing intelligence', una evolución necesaria de los sistemas BI que demanda competencias clave. Harvard Deusto Márketing y Ventas (152), pp. 38 - 45. ALEGRE, I., ARIÑO, M. A., CANELA, M. Á. (2017). Big Data: Where To Begin?. How To Get The Most Out Of Data Analysis. Alumni Magazine (145), pp. 22 - 25. ALEGRE, I., ARIÑO, M. A., CANELA, M. Á. (2017). Big data: ¿Por dónde empezamos?. Cómo sacar partido del análisis de datos. Revista de Antiguos Alumnos (145), pp. 26 - 29.

CANELA, M. Á., ALEGRE, I., IBARRA, A. (2019). Quantitative Methods for Management: A Practical Approach. Berlin: Springer.

CANELA, M. Á., GUÇLU, B., ALEGRE, I. (2019). An Exploratory Analysis Using Co-Authorship Network: Trends in Risk Behavior. In Dileep Kumar G. (Ed.), Machine Learning Techniques for Improved Business Analytics (pp. 166 - 200). Hershey, PA: Igi Global. GÜÇLÜ, B., CANELA, M. Á., ALEGRE, I. (2019). An Exploratory Analysis using Co-authorship network: trends in risk behavior. In Kumar, D. (Eds.), Machine learning techniques for improved business analytics (pp. 166-200). Hershey, PA: Igi Global. GÜÇLÜ, B., CANELA, M. Á. (2017). Analytics Overuse in Advertising and Promotion Budget Forecasting. In Information Resources Management Association (USA) (Ed.), Advertising and Branding: Concepts, Methodologies, Tools, and Applications (pp. 477 - 505). Hershey, PA: Igi Global. GÜÇLÜ, B., CANELA, M. Á. (2016). Analytics Overuse in Advertising and Promotion Budget Forecasting. In M. Tavana, K. Szabat, & K. Puranam (Eds.), Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics (pp. 163 - 191). Hershey, PA: Igi Global.

CHINCHILLA, N., LEÓN, C., TORRES E., CANELA, M. Á. (2007). Trayectoria, conciliación y rol de los directivos. ALEGRE, I., CHINCHILLA, N., LEÓN, C., CANELA, M. Á. (2007). Políticas de conciliación, liderazgo y cultura en 2.200 PYMES españolas. CHINCHILLA, N., LEÓN, C., CANELA, M. Á., ARIÑO, M. A., QUIROGA, V. (2007). Análisis sectorial de las políticas de conciliación. Conclusiones del estudio IFREI 2006 basado en 360 empresas.

OSUNA, I., ALEGRE, I., CANELA, M. Á. (2019). The Sales Trend at Guarini. IESE, AD-370-E. N'GUESSAN, M. N., ALEGRE, I., CANELA, M. Á. (2019). HR Analytics at Barney. IESE, AD-369-E.