Publicaciones

A Saz-Carranza, M Vandendriessche, J Nguyen, N Agell. The EU’s interactions with formal intergovernmental organizations: a big data analysis of news media. Journal of European Integration, 2022.
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Nguyen, J. T. Van, Armisen-Morell, A., Agell, N. & Saz Carranza, A. (2022). Comparing global news sentiment using hesitant linguistic terms. International Journal of Intelligent Systems, 37
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Andre, Q., Reinholtz, N. & De Langhe, Bart (2021). Can consumers learn price dispersion? Evidence for dispersion spillover across categories. Journal of Consumer Researchucab030.
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Andre, Q. & De Langhe, Bart (2021). No evidence for loss aversion disappearance and reversal in Walasek and Stewart (2015). Journal of Experimental Psychology: General.
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Bertini, Marco, John Pineda, Amadeus Petzke, and Jean-Manuel Izaret (2021). Can We Afford Sustainable Business? Taking a Creative Approach to Price Can Benefit Society, the Environment—and Your Company. MIT Sloan Management Review.
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Bertini, Marco, and Oded Koenigsberg (2021). The Pitfalls of Pricing Algorithms: Be Mindful of How They Can Hurt Your Brand. Harvard Business Review 99, no. 5: 74–83.
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David Riu, Monica Casabayo, Josep M. Sayeras, Xari Rovira, Nuria Agell. A new method to assess how curricula prepare students for the workplace in higher education (2021).
Educational Review, 73, pp. 1-19
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De Langhe, Bart & Puntoni, S. (2021). Leading with decision-driven data analytics. MIT Sloan Management Review, 62 (3), pp. 14-16.
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De Langhe, Bart & Puntoni, S. (2021). Facebook's misleading campaign against Apple's privacy policy.
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Ding, B., Ferrás-Hernández, X. & Agell, N. (2021). Combining lean and agile manufacturing competitive advantages through Industry 4.0 technologies: An integrative approach. Production Planning & Control: The Management of Operations, 8 (1), pp. 1-17.
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Miguel Nunez-del-Prado & Jordi Nin. Revisiting online anonymization algorithms to ensure location privacy (2021). Journal of Ambient Intelligence and Humanized Computing, 12 (3).
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Nin, J., Salbanya Rovira, Bernat, Fleurquin, P., Tomás, E., Arenas, A. & Ramasco, J. J. (2021). Modeling financial distress propagation on customer-supplier networks. Journal of Nonlinear Science, 31 (5)053119.
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Nin, J. & Tomás, E. (2021). Default propagation in customer-supplier networks. Journal of Ambient Intelligence and Humanized Computing, 12 (6), pp. 541.
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Porro Martorell, O., Agell, N., Sánchez Soler, M. & Ruiz Vegas, F. (2021). A multi-attribute group decision model based on unbalanced and multi-granular linguistic information: An application to assess entrepreneurial competencies in secondary schools. Applied Soft Computing, 111 (3), pp. 107662.
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Reinholtz, N., Fernbach, P. M. & De Langhe, Bart (2021). Do people understand the benefit of diversification? Management Science, 45 (3), pp. 336.
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Schmidt, H., Ind, N. & Iglesias, O. (2021). Internal branding: In search of a new paradigm (Guest Editorial). Journal of Product and Brand Management, 6 (30), pp. 781-787.
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Simmons, J. P., Nelson, L. & Simonsohn, U. (2021). Pre-registration is a game changer. But, like random assignment, it is neither necessary nor sufficient for credible science. Journal of Consumer Psychology, 31 (1), pp. 177-180.
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Simmons, J. P., Nelson, L. & Simonsohn, U. (2021). Pre-registration: Why and how. Journal of Consumer Psychology, 31 (1), pp. 151-162.
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Unceta Mendieta, Irene (2021). Adapting by copying: Towards a sustainable machine learning. Unpublished doctoral dissertation. Universitat de Barcelona (UB).
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Unceta Mendieta, Irene, Nin, J. & Pujol Vila, O. (2021). Differential replication for credit scoring in regulated environments. Entropy, 23 (4), pp. 407-424.
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Angulo Bahón, C., Falomir, I. Z., Anguita, D., Agell, N. & Cambria, E. (2020). Bridging cognitive models and recommender systems. Cognitive Computation, 12 (2), pp. 426-427.
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Dávila Blázquez, J. & Casabayó, M. (2020, May). The vanity behind Instagram: The hidden 'likes' to narcissism and histrionic personality. [Paper presentation]. EMAC 2020, Budapest.
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Bertini, Marco, Stefan Buehler, Daniel Halbheer, and Don Lehmann (2020). Carbon Footprinting and Pricing under Climate Concerns. Journal of Marketing.
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Bertini, Marco, and Oded Koenigsberg (2020). Competing on Customer Outcomes. MIT Sloan Management Review 62, no. 1: 78–84.
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Bertini, Marco, and Aylin Aydinli. Consumer Reactance to Promotional Favors. Journal of Retailing 96, no. 4 (December 2020): 578–589. Journal of Retailing, 96 (4), pp. 578–589.
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Bertini, M, Halbheer, D, Koenigsberg, O, (2020). Price and quality decisions by self-serving managers. International Journal of Research in Marketing 37 (2) Page 236-257.
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Bertini, Marco, and Oded Koenigsberg. The Ends Game: How Smart Companies Stop Selling Products and Start Delivering Value. Management on the Cutting Edge. Cambridge, MA: MIT Press, 2020.
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Casabayó, M. (2020). Multistakeholder marketing strategies: How to navigate an increasingly polarized world.
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De Langhe, Bart (2020). Covid-19 vaccine trials are a case study on the challenges of data literacy.
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De Langhe, Bart & Schley, D. R. (2020). System 1 is not scope insensitive: A new, dual-process account of subjective value. Journal of Consumer Research, 47 (4), pp. 566-587.
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Casabayó, M., Dávila Blázquez, J. & Rayburn, S. W. (2020). Thou shalt not covet: Role of family religiosity in anti-consumption. International Journal of Consumer Studies, 44 (5), pp. 445-454.
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Saleem, F. & Iglesias, O. (2020). Exploring the motivation of affect management in fostering social media engagement and related insights for branding. Internet Research, 30 (1), pp. 67-83.
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Hadi, R. & Valenzuela Martínez, A.M. (2020). Good vibrations: Consumer responses to technology-mediated haptic feedback. Journal of Consumer Research, 47 (2), pp. 256-271.
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Iglesias, O., Ind, N. & Schultz, M. (2020). History matters: The role of history in corporate brand strategy. Business Horizons, 63 (1), pp. 51-60.
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Iglesias, O. & Ind, N. (2020). Towards a theory on conscientious corporate brand co-creation: The next key challenge in brand management. Journal of Brand Management, 6 (27), pp. 710-720.
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Iglesias, O., Markovic, S., Bagherzadeh Niri, M. & Singh, J. (2020). Co-creation: A key link between corporate social responsibility, customer trust, and customer loyalty. Journal of Business Ethics, 163 (1), pp. 151-166.
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Iglesias, O., Landgraf, P., Ind, N., Markovic, S. & Koporcic, N. (2020). Corporate brand identity co-creation in business-to-business contexts. Industrial Marketing Management, 85 (February 2020), pp. 32-43.
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Porro Martorell, O., Pardo-Bosch, F., Agell, N. & Sánchez Soler, M. (2020). Understanding location decisions of energy multinational enterprises within the European smart cities' context: An integrated AHP and Extended Fuzzy Linguistic TOPSIS Method. Energies, 13 (10)2415.
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Mislavsky, R., Dietvorst, B. J. & Simonsohn, U. (2020). Critical condition: People only object to corporate experiments if they disapprove of a condition. Marketing Science, 39 (6), pp. 1092-1104.
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Jennifer Nguyen, Albert Armisen, Germán Sánchez-Hernández, Mònica Casabayó, Núria Agell (2020). An OWA-based hierarchical clustering approach to understanding users’ lifestyles. Knowledge-Based Systems, 2020, 190.
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Nguyen, J., Montserrat Adell, J., Agell, N., Sánchez Soler, M. & Ruiz, FJ. (2020). Fusing hotel ratings and reviews with hesitant terms and consensus measures. Neural Computing and Applications, 32 (19), pp. 15301-15311.
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Sábada, T., Sanmiguel, P., Casabayó, M., Gallo, Í., Luis Bassa, C., Carreras, F. & Moreno De los Ríos, P. (2020). Sumando ideas 'Marketing' de 'Influencers': ¿Tiene realmente el impacto esperado? Harvard Deusto Business Review, (302), pp. 32-35.
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Simonsohn, U., Simmons, J. P. & Nelson, L. D. (2020). Specification curve analysis. Nature Human Behaviour, 4 (11), pp. 1208-1214.
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Torrens, M., Cortés, U., Valogianni, K., Valor, J., Ruiz Hontangas, A., Almirall, E., Argandoña Rámiz, A. & Guerris, M. (2020). Los retos éticos de la inteligencia artificial. Harvard Deusto Business Review, (296), pp. 34-59.
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Irene Unceta, Jordi Nin, Oriol Pujol. Copying Machine Learning Classifiers (2020). IEEE Access, 8.
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Unceta Mendieta, Irene, Nin, J. & Pujol, O. (2020). Environmental adaptation and differential replication in machine learning. Entropy, 22 (10), pp. 1122-1136.
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Unceta Mendieta, Irene, Nin, J. & Pujol, O. (2020). In Barbosa, H., Gómez-Gardenes, J., Gonçalves, B., Mangioni, G., Menezes, R. & Oliveira, M. (Eds.). Transactional compatible representations for high value client identification: A financial case study. Complex Networks XI, pp. 334-345. Springer.
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Unceta Mendieta, Irene, Nin, J. & Pujol, O. (2020). In Torra, V., Narukawa, Y., Nin, J. & Agell, N. (Eds.). Sampling unknown decision functions to build classifier copies. Modeling decisions for artificial intelligence, pp. 192-204. Springer.
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Irene Unceta, Jordi Nin, Oriol Pujol. Risk mitigation in algorithmic accountability: The role of machine learning copies (2020). PLOS ONE, 15 (11).
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Barja, A., Martínez, A., Arenas, A., Fleurquin, P., Nin, J., Ramasco, J. J. & Tomás, E. (2019). Assessing the risk of default propagation in interconnected sectoral financial networks. EPJ Data Science, 8 (Dec 2019), pp. 422-442.
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De Langhe, Bart & Fernbach, P. M. (2019). The dangers of categorical thinking. Harvard Business Review, 97 (5), pp. 80-91.
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Evangelidis, I. & van Osselaer, S. M. J. (2019). Interattribute evaluation theory. Journal of Experimental Psychology: General, 148 (10), pp. 1733-1746.
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Iglesias, O. (2019). In Ind, N. & Schmidt, H. How co-creation can boost trust in corporate social responsibility. Co-creating brands: Brand management from a co-creative perspective, pp. 280-283. Bloomsbury Publishing.

Porro Martorell, O., Agell, N. & Sánchez Soler, M. (2019). In Sabater-Mir, J., Torra, V., Aguiló, I. & González-Hidalgo, M. (Eds.). A fuzzy decision-aiding approach to implement sustainable marine itineraries. Artificial intelligence research and development, pp. 223-227. IOS Press.
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Mislavsky, R., Dietvorst, B. J. & Simonsohn, U. (2019). The minimum mean paradox: A mechanical explanation for apparent experiment aversion. Proceedings of the National Academy of Sciences, 116 (48), pp. 23883-23884.
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Nguyen, J., Montserrat Adell, J., Armisen-Morell, A., Torrens, M. & Agell, N. (2019). In Sabater-Mir, J., Torra, V., Aguiló, I. & González-Hidalgo, M. (Eds.). Measuring rating exigency: Identifying relevant consumer reviews. Artificial intelligence research and development, pp. 256-265. IOS Press.
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Pardo-Bosch, F. & Torrens, M. (2019). In Aguilar, L. F. (Ed.), Cabrero, E., Pardo-Bosch, F., Muñoz, J., Torrens, M., Coronado, A. A. & Macías, D. A. La Inteligencia Artificial para impulsar los Objetivos de Desarrollo Sostenible. Hacia el gobierno digital en México: Conceptos y experiencias, pp. 41-54. Prometeo Editores SA.
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Simonsohn, U., Vosgerau, J., Nelson, L. D. & Simmons, J. P. (2019). 99% impossible: A valid, or falsifiable, internal meta-analysis. Journal of Experimental Psychology: General, 148 (9), pp. 1628-1639.
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Unceta Mendieta, Irene, Nin, J. & Pujol, O. (2019). In Sabater-Mir, J., Torra, V., Aguiló, I. & González-Hidalgo, M. From batch to online learning using copies. Artificial intelligence research and development, pp. 125-134. IOS Press.
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