Publicacions

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.
MORE INFO

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
More info

Andre, Q., Reinholtz, N. & De Langhe, Bart (2021). Can consumers learn price dispersion? Evidence for dispersion spillover across categories. Journal of Consumer Researchucab030.
More info
 
Andre, Q. & De Langhe, Bart (2021). No evidence for loss aversion disappearance and reversal in Walasek and Stewart (2015). Journal of Experimental Psychology: General.
More info

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.
More info

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.
More info

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
More info

De Langhe, Bart & Puntoni, S. (2021). Leading with decision-driven data analytics. MIT Sloan Management Review, 62 (3), pp. 14-16.
More info

De Langhe, Bart & Puntoni, S. (2021). Facebook's misleading campaign against Apple's privacy policy.
More info

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.
More info

Miguel Nunez-del-Prado & Jordi Nin. Revisiting online anonymization algorithms to ensure location privacy (2021). Journal of Ambient Intelligence and Humanized Computing, 12 (3).
More info

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.
More info

Nin, J. & Tomás, E. (2021). Default propagation in customer-supplier networks. Journal of Ambient Intelligence and Humanized Computing, 12 (6), pp. 541.
More info

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.
More info

Reinholtz, N., Fernbach, P. M. & De Langhe, Bart (2021). Do people understand the benefit of diversification? Management Science, 45 (3), pp. 336.
More info

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.
More info

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.
More info

Simmons, J. P., Nelson, L. & Simonsohn, U. (2021). Pre-registration: Why and how. Journal of Consumer Psychology, 31 (1), pp. 151-162.
More info

Unceta Mendieta, Irene (2021). Adapting by copying: Towards a sustainable machine learning. Unpublished doctoral dissertation. Universitat de Barcelona (UB).
More info

Unceta Mendieta, Irene, Nin, J. & Pujol Vila, O. (2021). Differential replication for credit scoring in regulated environments. Entropy, 23 (4), pp. 407-424.
More info

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.
More info

Dávila Blázquez, J. & Casabayó, M. (2020, May). The vanity behind Instagram: The hidden 'likes' to narcissism and histrionic personality. [Paper presentation]. EMAC 2020, Budapest.
More info
 
Bertini, Marco, Stefan Buehler, Daniel Halbheer, and Don Lehmann (2020). Carbon Footprinting and Pricing under Climate Concerns. Journal of Marketing.
More info

Bertini, Marco, and Oded Koenigsberg (2020). Competing on Customer Outcomes. MIT Sloan Management Review 62, no. 1: 78–84.
More info

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.
More info

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.
More info

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.
More info

Casabayó, M. (2020). Multistakeholder marketing strategies: How to navigate an increasingly polarized world.
More info

De Langhe, Bart (2020). Covid-19 vaccine trials are a case study on the challenges of data literacy.
More info

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.
More info

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.
More info

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.
More info

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.
More info

Iglesias, O., Ind, N. & Schultz, M. (2020). History matters: The role of history in corporate brand strategy. Business Horizons, 63 (1), pp. 51-60.
More info

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.
More info

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.
More info

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.
More info
 
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.
More info

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.
More info

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.
More info

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.
More info

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.
More info

Simonsohn, U., Simmons, J. P. & Nelson, L. D. (2020). Specification curve analysis. Nature Human Behaviour, 4 (11), pp. 1208-1214.
More info

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.
More info

Irene Unceta, Jordi Nin, Oriol Pujol. Copying Machine Learning Classifiers (2020). IEEE Access, 8.
More info

Unceta Mendieta, Irene, Nin, J. & Pujol, O. (2020). Environmental adaptation and differential replication in machine learning. Entropy, 22 (10), pp. 1122-1136.
More info
 
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.
More info

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.
More info

Irene Unceta, Jordi Nin, Oriol Pujol. Risk mitigation in algorithmic accountability: The role of machine learning copies (2020). PLOS ONE, 15 (11).
More info

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.
More info

De Langhe, Bart & Fernbach, P. M. (2019). The dangers of categorical thinking. Harvard Business Review, 97 (5), pp. 80-91.
More info

Evangelidis, I. & van Osselaer, S. M. J. (2019). Interattribute evaluation theory. Journal of Experimental Psychology: General, 148 (10), pp. 1733-1746.
More info

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.
More info
 
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.
More info

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.
More info
 
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.
More info

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.
More info

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.
More info