Argitalpenak (10) Jesus Pedro Barrero Ahedo argitalpenak Ikerketa datu erreferentziatuak ikusi.

2024

  1. Involvement of multiple generations in management and internationalization of family firms in Spain: the moderating effect of SEW dimensions

    Journal of Family Business Management, Vol. 14, Núm. 1, pp. 153-170

  2. Self-assessment of hearing quality by workers exposed to occupational noise

    Harvard Dataverse

  3. Training entrepreneurs in culturally diverse countries. Influence of Social Norms on Entrepreneurial Intention

    The International Journal of Management Education, Vol. 22, Núm. 3, pp. 1-14

2023

  1. Aplicación del metaverso en el aprendizaje internacional colaborativo online en Ciencias Empresariales: experiencia entre universidades de México y España

    Investigación e innovación educativa en contextos diferenciados (Dykinson), pp. 577-584

  2. Impacts of the COVID-19 crisis on 25+ NEETs. Country Report – Spain

    Lost Millennials – Transnational Research Network for the Evaluation of Initiatives Targeting 25+ NEETs

2022

  1. Influence of noise level and seniority in the workplace on the SAL, ELI and percentage of hearing loss indices in the diagnosis and prevention of hearing loss in the working population

    Journal of Safety Research, Vol. 80, pp. 428-440

2020

  1. Assessment and Modeling of the Influence of Age, Gender, and Family History of Hearing Problems on the Probability of Suffering Hearing Loss in the Working Population

    International Journal of Environmental Research and Public Health, Vol. 17, Núm. 21, pp. 1-15

  2. Tranformación y evolución de la Universidad de Burgos durante la crisis sanitaria según el modelo EFQM

    Desafíos de investigación educativa durante la pandemia COVID19 (Dykinson), pp. 442-452

2018

  1. Data on the main working conditions with influence on the development of hearing loss amongst the occupational population in Spain

    Data in Brief

  2. How activity type, time on the job and noise level on the job affect the hearing of the working population. Using Bayesian networks to predict the development of hypoacusia

    Safety Science, Vol. 110, pp. 1-12