MDPI’s 2021 Best Paper Awards in “Social Sciences & Humanities”—Winners Announced

The purpose of our best paper awards is to promote and recognize the most impactful contributions published within MDPI journals.

The editors of each journal carefully selected reviews and research papers through a rigorous judging process based on criteria such as the scientific merit, overall impact, and the quality of presentation of the papers published in the journal last year.

We are honored to present the winners in the “Social Sciences & Humanities” category, who were selected amongst the extensive competition, and congratulate the authors for their outstanding scientific publications.

MDPI will continue to provide support and recognition to the academic community.

Administrative Sciences:

• “Entrepreneurship Education in a Multidisciplinary Environment: Evidence from an Entrepreneurship Programme Held in Turin”
  by Eleonora Fiore, Giuliano Sansone and Emilio Paolucci
  Adm. Sci. 2019, 9(1), 28; doi 10.3390/admsci9010028
• “A Systematic Mapping Study on Customer Loyalty and Brand Management”
  by Andrea Moretta Tartaglione, Ylenia Cavacece, Giuseppe Russo and Giuseppe Granata
  Adm. Sci. 2019, 9(1), 8; doi 10.3390/admsci9010008

Journal of Risk and Financial Management:

• “Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions”
  by Nikolaos Antonakakis, Ioannis Chatziantoniou and David Gabauer
  J. Risk Financial Manag. 2020, 13(4), 84; doi 10.3390/jrfm13040084
• “Digitalization of the EU Economies and People at Risk of Poverty or Social Exclusion”
  by Aleksy Kwilinski, Oleksandr Vyshnevskyi and Henryk Dzwigol
  J. Risk Financial Manag. 2020, 13(7), 142; doi 10.3390/jrfm13070142
• “Assessment of Bankruptcy Risk of Large Companies: European Countries Evolution Analysis”
  by Nicoleta Bărbuță-Mișu and Mara Madaleno
  J. Risk Financial Manag. 2020, 13(3), 58; doi 10.3390/jrfm13030058

Risks:

• “Nagging Predictors”
  by Ronald Richman and Mario V. Wüthrich
  Risks 2020, 8(3), 83; doi 10.3390/risks8030083
• “A Longitudinal Analysis of the Impact of Distance Driven on the Probability of Car Accidents”
  by Jean-Philippe Boucher and Roxane Turcotte
  Risks 2020, 8(3), 91; doi 10.3390/risks8030091
• “Financial Bubbles: A Study of Co-Explosivity in the Cryptocurrency Market”
  by Arianna Agosto and Alessia Cafferata
  Risks 2020, 8(2), 34; doi 10.3390/risks8020034
• “A Generative Adversarial Network Approach to Calibration of Local Stochastic Volatility Models”
  by Christa Cuchiero, Wahid Khosrawi and Josef Teichmann
  Risks 2020, 8(4), 101; doi 10.3390/risks8040101
• “Machine Learning in Least-Squares Monte Carlo Proxy Modeling of Life Insurance Companies”
  by Anne-Sophie Krah, Zoran Nikolić and Ralf Korn
  Risks 2020, 8(1), 21; doi 10.3390/risks8010021