Development of teachers’ digital competencies on the basis of Innopolis University

Konstantin Aleksandrovich Miloradov; Galina Mikhailovna Eidlina

doi:10.22633/rpge.v26iesp.2.16577

Autores

Konstantin Aleksandrovich Miloradov Plekhanov Russian University of Economics, Moscow – Russian https://orcid.org/0000-0001-6192-7502
Galina Mikhailovna Eidlina Plekhanov Russian University of Economics, Moscow – Russian https://orcid.org/0000-0002-3007-4807

DOI:

https://doi.org/10.22633/rpge.v26iesp.2.16577

Palavras-chave:

Tecnologias digitais, Competências digitais, Universidade Innopolis, Aprendizado online, Comércio

Resumo

O artigo explora abordagens para o desenvolvimento de competências digitais de professores dentro dos programas de desenvolvimento profissional na “Universidade Innopolis” e as possibilidades de sua aplicação no processo educacional em universidades econômicas. O objetivo das aulas na “Universidade Innopolis” é estudar as tecnologias digitais modernas e as oportunidades para sua incorporação no processo de aprendizagem dentro das disciplinas ministradas. Como resultado da formação, os autores desenvolvem materiais metodológicos empregados no processo educacional para melhorar a qualidade da formação de especialistas na área de comércio.

Downloads

Não há dados estatísticos.

Biografia do Autor

Konstantin Aleksandrovich Miloradov, Plekhanov Russian University of Economics, Moscow – Russian

Associate Professor.

Galina Mikhailovna Eidlina, Plekhanov Russian University of Economics, Moscow – Russian

Associate Professor.

Referências

AIOLFI, S.; BELLINI, S.; PELLEGRINI, D. Data-driven digital advertising: benefits and risks of online behavioral advertising. International Journal of Retail & Distribution Management, v. 49, n. 7, p. 1089-1110, 2021. DOI: https://doi.org/10.1108/IJRDM-10-2020-0410

AVERSA, J.; HERNANDEZ, T.; DOHERTY, S. Incorporating big data within retail organizations: A case study approach. Journal of Retailing and Consumer Services, v. 60, 2021. DOI: https://doi.org/10.1016/j.jretconser.2021.102447

BOLETSIS, C.; KARAHASANOVIC, A. Immersive Technologies in Retail: Practices of Augmented and Virtual Reality. In: HOLZINGER, A. et al. (Eds.). Proceedings of the 4th International Conference on Computer-Human Interaction Research and Applications. CHIRA, 2020. ISBN: 978-989-758-480-0. p. 281-290.

BÖTTCHER, T. P. et al. Escape from Dying Retail by Combining Bricks and Clicks: A Taxonomy of Digital Business Models in Retail. In: PACIS 2021 Proceedings, v. 10, 2021a.

BÖTTCHER, T. P. et al. Towards the Digital Self-Renewal of Retail: The Generic Ecosystem of the Retail Industry. In: INTERNATIONAL CONFERENCE ON WIRTSCHAFTSINFORMATIK, 16., 2021, Essen. Proceedings […]. Essen, Germany, 2021b.

BRANDTNER, P. et al. Impact of COVID-19 on the Customer End of Retail Supply Chains: A Big Data Analysis of Consumer Satisfaction. Sustainability, v. 13, p. 1464. DOI: https://doi.org/10.3390/su13031464

CASTILLO S. M. J.; BIGNE, E. A model of adoption of AR-based self-service technologies: a two country comparison. International Journal of Retail & Distribution Management, v. 49, n. 7, p. 875-898, 2021. DOI: https://doi.org/10.1108/IJRDM-09-2020-0380

DE CANIO, F.; FUENTES-BLASCO, M.; MARTINELLI, E. Engaging shoppers through mobile apps: the role of gamification. International Journal of Retail & Distribution Management, v. 49, n. 7, p. 919-940, 2021. DOI: https://doi.org/10.1108/IJRDM-09-2020-0360

DEKIMPE, M. G. Retailing and retailing research in the age of big data analytics. International Journal of Research in Marketing, v. 37, n. 1, 2019. DOI: https://doi.org/10.1016/j.ijresmar.2019.09.001

EIDLINA, G. M. Obespechenie bezopasnosti predpriiatiia s ispolzovaniem informatsionnoi sistemy SPARK [Ensuring enterprise security using the SPARK information system]. RISK: Resources, Information, Supply, Competition, n. 1, p. 224-227, 2016.

EIDLINA, G. M.; MILORADOV, K. A. Napravleniia tsifrovizatsii biznes-protsessov torgovykh kompanii [Trends in the digitalization of business processes of trading companies]. Transport business of Russia, n. 1, p. 42-44, 2020.

EL-KASSAR, A.-N.; SINGH, S. K. Green innovation and organizational performance: The influence of big data and the moderating role of management commitment and HR practices. Technological Forecasting and Social Change, v. 144, p. 483–498, 2019. DOI: https://doi.org/10.1016/j.techfore.2017.12.016

HÄNNINEN, M.; SMEDLUND, A.; MITRONEN, L. Digitalization in retailing: multi-sided platforms as drivers of industry transformation. Baltic Journal of Management, v. 13, n. 2, 152-168, 2017. DOI: https://doi.org/10.1108/BJM-04-2017-0109

JOHNSON, D. S. et al. The marketing organization’s journey to become data-driven. Journal of Research in Interactive Marketing, v. 13, n. 2, p. 162–178, 2019. DOI: https://doi.org/10.1108/JRIM-12-2018-0157

LEE, H.; CHO, C.-H. Digital advertising: Present and future prospects. International Journal of Advertising, n. 39, n. 3, p. 332-341, 2019. DOI: https://doi.org/10.1080/02650487.2019.1642015

PANTANO, E.; GIGLIO, S.; DENNIS, C. Making sense of consumers’ tweets. International Journal of Retail & Distribution Management, v. 47, n. 9, p. 915–927, 2019. DOI: https://doi.org/10.1108/IJRDM-07-2018-0127

REINARTZ, W.; WIEGAND, N.; IMSCHLOSS, M. The impact of digital transformation on the retailing value chain. International Journal of Research in Marketing, v. 36, n. 3, p. 350-366, 2019. DOI: https://doi.org/10.1016/j.ijresmar.2018.12.002

SEMENOVA, A. A. Budushchee tsifrovogo riteila: trendy dlia innovatsii [The future of digital retail: trends for innovation]. Saint-Petersburg Economic Journal, n. 1, p. 64-69, 2020.

TRABUCCHI, D.; BUGANZA, T. Data-driven innovation: Switching the perspective on Big Data. European Journal of Innovation Management, v. 22, n. 1, p. 23–40, 2019. DOI: https://doi.org/10.1108/EJIM-01-2018-0017

VENKY, SH. Big Data and Analytics in Retailing. NIM Marketing Intelligence Review, v. 11, n. 1, p. 36-40, 2019. DOI: https://doi.org/10.2478/nimmir-2019-0006

VERMEER, S. A. M. et al. Seeing the wood for the trees: How machine learning can help firms in identifying relevant electronic word-of-mouth in social media. International Journal of Research in Marketing, v. 36, n. 3, p. 492-508, 2019. DOI: https://doi.org/10.1016/j.ijresmar.2019.01.010

WAMBA, S. F.; AKTER, S.; DE BOURMONT, M. Quality dominant logic in big data analytics and firm performance. Business Process Management Journal, v. 25, n. 3, p. 512–532, 2019. DOI: https://doi.org/10.1108/BPMJ-08-2017-0218