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Juliana Salvadorinho
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Service robots in the hospitality industry: The case of Henn-na hotel, Japan
J Reis, N Melão, J Salvadorinho, B Soares, A Rosete
Technology in Society 63, 101423, 2020
1462020
Service robots in the hospitality industry: An exploratory literature review
A Rosete, B Soares, J Salvadorinho, J Reis, M Amorim
Exploring Service Science: 10th International Conference, IESS 2020, Porto …, 2020
662020
Organizational knowledge in the I4. 0 using BPMN: a case study
J Salvadorinho, L Teixeira
Procedia Computer Science 181, 981-988, 2021
412021
Stories told by publications about the relationship between industry 4.0 and lean: Systematic literature review and future research agenda
J Salvadorinho, L Teixeira
Publications 9 (3), 29, 2021
282021
UpSkill@ Mgmt 4.0–A digital tool for competence management: Conceptual model and a prototype
T Bastos, J Salvadorinho, L Teixeira
International Journal of Industrial Engineering and Management 13 (4), 225-238, 2022
172022
Happy and engaged workforce in industry 4.0: A new concept of digital tool for hr based on theoretical and practical trends
J Salvadorinho, L Teixeira
Sustainability 15 (3), 2781, 2023
142023
Human Factors in Industry 4.0 and Lean Information Management: Remodeling the Instructions in a Shop Floor
J Salvadorinho, L Teixeira, BS Santos, C Ferreira
International Conference on Human-Computer Interaction, 242-255, 2021
92021
The bilateral effects between industry 4.0 and lean: Proposal of a framework based on literature review
J Salvadorinho, L Teixeira
Proceedings of the 5th NA International Conference on Industrial Engineering …, 2020
92020
Storytelling with data in the context of industry 4.0: A power BI-based case study on the shop floor
J Salvadorinho, L Teixeira, B Sousa Santos
HCI International 2020–Late Breaking Papers: Interaction, Knowledge and …, 2020
82020
Information systems in industry 4.0: Mechanisms to support the shift from data to knowledge in lean environments
J Salvadorinho, L Teixeira
Proceedings of the International Conference on Industrial Engineering and …, 2020
72020
Comparative study of distribution networks reconfiguration problem approaches
A Moura, J Salvadorinho, B Soares, J Cordeiro
RAIRO-Operations Research 55, S2083-S2124, 2021
62021
Shop floor data in Industry 4.0: study and design of a Manufacturing Execution System
J Salvadorinho, L Teixeira
42020
A technology-based framework to foster the lean human resource 4.0 and prevent the great resignation: The talent management lift
J Salvadorinho, C Ferreira, L Teixeira
Technology in Society 77, 102510, 2024
22024
Lean manufacturing vs coaching alliance in engagement promotion: An employee suggestion system prototype
J Salvadorinho, T Bastos, P Pintor, L Teixeira
International Conference on Flexible Automation and Intelligent …, 2023
22023
Leadership coaching framework tool-based to support worker engagement and retention in Industry 4.0
J Salvadorinho, L Teixeira
Proceedings of the International Conference on Industrial Engineering and …, 2022
22022
Designing an engagement’s technological tool: user needs and motivations in a humanized way
J Salvadorinho, A Vitória, C Ferreira, L Teixeira
International Conference on Human-Computer Interaction, 266-279, 2022
22022
Supporting Production Management in the Fourth Industrial Revolution: A Framework Based on Shop-Floor Data
J Salvadorinho, L Teixeira, BS Santos, C Ferreira
Human-Automation Interaction: Manufacturing, Services and User Experience, 47-63, 2022
12022
How can management and process methodologies help to define a roadmap for digitization? A proposal based on a practical case
JB Ribeiro, J Salvadorinho, M Amorim, L Teixeira
Proceedings of the 5th European International Conference on Industrial …, 2022
12022
Competence management in Industry 4.0: an innovative concept to support a Skill@ Mgmt 4.0 tool
T Bastos, J Salvadorinho, A Vitória, L Teixeira
Proceedings of the 7th North American International Conference on Industrial …, 2022
12022
How to leverage distributed data to create an HR 4.0 platform to support workforce management? A proposed solution based on three industrial contexts
J Salvadorinho, P Pintor, J Moreira, M Freire, NFL Teixeira
Procedia Computer Science 204, 488-496, 2022
12022
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