Juliana Pereira Salvadorinho

Scopus Publications

A technological leap in workplace engagement for industry 5.0: Introducing BoosToRaise
Juliana Salvadorinho, Carlos Ferreira, Leonor Teixeira
Technology in Society, 2026
IPSEN’s Shingo Prize journey: driving Industry 4.0 and 5.0 transformation
Florian Magnani, Peter Hines, Juliana Pereira Salvadorinho
International Journal of Lean Six Sigma, 2026
Purpose This study aims to examine how the French biopharmaceutical company IPSEN adapted the Shingo model to address the challenges of Industry 4.0 (I4.0) and the rise of Industry 5.0 (I5.0), focusing on sustaining cultural principles such as respect for people, continuous improvement and sustainable value creation in the digital age. Design/methodology/approach The research is based on an in-depth qualitative case study, including semi-structured interviews and document analysis, conducted at IPSEN’s Signes facility in France. This approach allows for a detailed examination of how the organization has embedded Shingo principles into its transformation journey, while simultaneously deploying digital tools and developing a custom adaptation of the model known internally as “Shingo 2.0.” Findings IPSEN’s Shingo 4.0 and 5.0 Framework combines human-centric values with digital transformation, ensuring a balance between cultural and technological advancements. Key elements include cultural reinforcement first, data-driven thinking, ecosystem-based improvement, real-time feedback and digital leadership enablement. This framework integrates traditional Shingo principles with modern digital practices, fostering continuous improvement, emotional engagement and leadership evolution. It provides a flexible, holistic model for organizations to align human values with digital innovation, ensuring sustainable operational excellence. Originality/value To the best of the authors’ knowledge, this case study is among the first to document the real-world integration of the Shingo Model with digital transformation initiatives in a European manufacturing context. It offers both theoretical insight and practical guidance for organizations seeking to align excellence models with I4.0 and I5.0 principles. By proposing a human-centered, digitally enabled vision of Shingo, this research advances the debate on the future of operational excellence.
Harnessing knowledge management in the industrial metaverse: Opportunities and challenges
Juliana Salvadorinho, Leonor Teixeira
Procedia Computer Science, 2026
Human-centred Shingo leadership for engaging Generation Z in operational excellence
Peter Hines, Helen Zak, Juliana Salvadorinho
Total Quality Management and Business Excellence, 2026
Enhancing recruitment process for early-graduate employees in business consulting: A BPMN case study with AI-driven To-Be solution
Ana Ferreira, Juliana Salvadorinho, Leonor Teixeira
Procedia Computer Science, 2026
Redefining Work: Benchmarking Employee Engagement Initiatives in Industry 5.0
Teresa Silva, Juliana Salvadorinho, Leonor Teixeira
Procedia Computer Science, 2026
From Gen Z to Boomers: Motivational drivers shaping Industry 5.0 and the future of work
Juliana Salvadorinho, Peter Hines, Maneesh Kumar, Carlos Ferreira, Leonor Teixeira
Futures, 2026
Work Smarter, Not Harder: How BPM and Human Factor Team Up in Industry 5.0
Ana Ferreira, Teresa Silva, Henrique Fernandes, Juliana Salvadorinho, Leonor Teixeira
Procedia Computer Science, 2026
NextGen 5.0 Leadership in Manufacturing: Tackling Workforce Challenges with a Multicountry and Multicompany Perspective
Science and Technology Department of Portucalense University, Porto, Portugal, Juliana Salvadorinho, REMIT – Research on Economics, Management and Information Technologies, Portucalense University, Porto, Portugal, IEETA (Institute of Electronics and Informatics Engineering of Aveiro), University of Aveiro, Aveiro, Portugal;, Peter Hines, et al.
International Journal of Industrial Engineering and Management, 2025
As Generation Z enters the job market, it is crucial for managers to understand how to foster their commitment, especially in the face of challenges like the Great Resignation and the Quiet Quitting. These challenges jeopardize organizational knowledge, innovation, and competitive advantage. In this way, this paper aims to identify the most effective leadership model for managing, engaging, and retaining Generation Z. The study adopts an abductive methodology, combining a systematic literature review on empirical studies about leadership styles that foster engagement with insights from a focus group of 13 manufacturing professionals across different countries. This article enhances the scientific literature with a leadership model tailored to the context of Industry 5.0, Generation Z and manufacturing organizations. Dubbed the NextGen 5.0 Leadership Model, it is built on three core pillars: a growth mindset, emotional intelligence, and a triple purpose.
Engagement strategies in a digital multigenerational world: insights from multinational companies on unlocking the potential of Human Capital 4.0
Juliana Salvadorinho, Carlos Ferreira, Leonor Teixeira
Journal of Intellectual Capital, 2025
PurposeThis research explores human factors practices in the context of Industry 4.0, Industry 5.0 and the multigenerational workforce, promoting the evolution of Human Capital 4.0. With the emergence of generations Y and Z, organizations are more volatile, heightening the risk of tacit knowledge loss. Conditions conducive to retaining employees must be created, particularly by prioritizing engagement initiatives.Design/methodology/approachAddressing these imperatives required the adoption of a comprehensive mixed-methods methodology, which integrated a systematic literature review, a qualitative thematic analysis of 30 interviews conducted with employees from three multinational organizations and a quantitative statistical analysis of a questionnaire gathering 560 responses.FindingsThe study identifies essential practices for enhancing employee well-being, considering blue and white collars, using the PERMA model. It recommends adopting corporate social responsibility (CSR) initiatives and flexible work arrangements to improve positive emotion. Engagement is strengthened by aligning roles with employee strengths, offering ongoing learning opportunities and incorporating gamification. Strong Relationships are fostered through coaching, mentoring and participatory decision-making. Meaning in work is supported by encouraging a protean career attitude and integrating CSR activities to align personal and professional values. Accomplishment is achieved through lean management principles and recognition programs that facilitate goal achievement and employee appreciation.Originality/valueThis is the first multigenerational study to include Gen Z, both blue- and white-collar workers and the PERMA model, offering a set of practices designed to improve Human Capital 4.0 retention. These practices target adaptation to both the digital paradigm and the multigenerational environment as well as addressing the phenomena of the Great Resignation and Quiet Quitting.
The human face of lean: expanding the Shingo model through leadership behaviours
Peter Hines, Helen Zak, Juliana Salvadorinho
International Journal of Lean Six Sigma, 2025
Evaluating Shingo model alignment at Toyota Portugal: analyzing operational excellence in Industry 4.0
Marco Silva, Juliana Pereira Salvadorinho, Carlos Rodrigues, Ana Raquel Xambre, Helena Alvelos
International Journal of Lean Six Sigma, 2025
Revolutionizing Recruitment with AI: Empirical Insights into Benefits and Challenges
Adriana Oliveira, Beatriz Coelho, João Moreira, Leonor Salgado, Juliana Salvadorinho, et al.
Procedia Computer Science, 2025
A technology-based framework to foster the lean human resource 4.0 and prevent the great resignation: The talent management lift
Juliana Salvadorinho, Carlos Ferreira, Leonor Teixeira
Technology in Society, 2024
A talent management platform for HR 4.0 challenges: Usability evaluation based on testing and the TAM scale
Juliana Salvadorinho, Tiago Bastos, Leonor Teixeira
Procedia Computer Science, 2024
DisneyHint: Lean and Coaching-Based Employee Suggestion System for the Human Challenges of Industry 4.0
Juliana Salvadorinho, Paulo Pintor, Tiago Bastos, Leonor Teixeira
Journal of Industrial Engineering and Management, 2024
Lean Manufacturing vs Coaching Alliance in Engagement Promotion: An Employee Suggestion System Prototype
Juliana Salvadorinho, Tiago Bastos, Paulo Pintor, Leonor Teixeira
Lecture Notes in Mechanical Engineering, 2024
A collaborative platform to support the creation of a Learning Organization in Industry 4.0: A co-created tool using three industrial contexts
Juliana Salvadorinho, Tiago Bastos, Pedro Cruto, Leonor Teixeira
Procedia Computer Science, 2024
Empowering Generation Z in manufacturing organizations: a 6-factor self-determination extension
Juliana Salvadorinho, Peter Hines, Maneesh Kumar, Carlos Ferreira, Leonor Teixeira
Journal of Work Applied Management, 2024
Happy and Engaged Workforce in Industry 4.0: A New Concept of Digital Tool for HR Based on Theoretical and Practical Trends
Juliana Salvadorinho, Leonor Teixeira
Sustainability Switzerland, 2023
Preliminary Usability Evaluation of UpSkill@Mgmt 4.0: A Tool to Promote Competency and Career Management in Industry 4.0
Tiago Bastos, Juliana Salvadorinho, Leonor Teixeira
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2023
UpSkill@Mgmt 4.0 – A digital tool for competence management: Conceptual model and a prototype
Department of Economics, Management, Industrial Engineering and Tourism (DEGEIT), University of Aveiro, Aveiro, Portugal, Tiago Bastos, Juliana Salvadorinho, Institute of Electronics and Informatics Engineering of Aveiro (IEETA), University of Aveiro, Aveiro, Portugal, Leonor Teixeira, et al.
International Journal of Industrial Engineering and Management, 2022
Designing an Engagement’s Technological Tool: User Needs and Motivations in a Humanized Way
Juliana Salvadorinho, Andreia Vitória, Carlos Ferreira, Leonor Teixeira
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2022
How to leverage distributed data to create an HR 4.0 platform to support workforce management? A proposed solution based on three industrial contexts
Juliana Salvadorinho, Paulo Pintor, José Moreira, Marlon Freire, Nelson Ferreirad Leonor Teixeira
Procedia Computer Science, 2022
Stories told by publications about the relationship between industry 4.0 and lean: Systematic literature review and future research agenda
Juliana Salvadorinho, Leonor Teixeira
Publications, 2021
Organizational knowledge in the I4.0 using BPMN: A case study
Juliana Salvadorinho, Leonor Teixeira
Procedia Computer Science, 2021
Human Factors in Industry 4.0 and Lean Information Management: Remodeling the Instructions in a Shop Floor
Juliana Salvadorinho, Leonor Teixeira, Beatriz Sousa Santos, Carlos Ferreira
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2021
Comparative study of distribution networks reconfiguration problem approaches
Ana Moura, Juliana Salvadorinho, Bárbara Soares, Joana Cordeiro
RAIRO Operations Research, 2021
Service robots in the hospitality industry: The case of Henn-na hotel, Japan
João Reis, Nuno Melão, Juliana Salvadorinho, Bárbara Soares, Ana Rosete
Technology in Society, 2020
The bilateral effects between industry 4.0 and lean: Proposal of a framework based on literature review
Proceedings of the International Conference on Industrial Engineering and Operations Management, 2020
Shop floor data in industry 4.0: Study and design of a manufacturing execution system
Atas Da Conferencia Da Associacao Portuguesa De Sistemas De Informacao, 2020
Information systems in industry 4.0: Mechanisms to support the shift from data to knowledge in lean environments
Proceedings of the International Conference on Industrial Engineering and Operations Management, 2020
Storytelling with data in the context of industry 4.0: A power bi-based case study on the shop floor
Juliana Salvadorinho, Leonor Teixeira, Beatriz Sousa Santos
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2020
Service Robots in the Hospitality Industry: An Exploratory Literature Review
Ana Rosete, Barbara Soares, Juliana Salvadorinho, João Reis, Marlene Amorim
Lecture Notes in Business Information Processing, 2020

RECENT SCHOLAR PUBLICATIONS

Empowering Generation Z in manufacturing organizations: a 6-factor self-determination extension
J Salvadorinho, P Hines, M Kumar, C Ferreira, L Teixeira
Journal of Work-Applied Management 18 (1), 130-149 , 2026
2026
Citations: 45
IPSEN’s Shingo Prize journey: driving Industry 4.0 and 5.0 transformation
F Magnani, P Hines, JP Salvadorinho
International Journal of Lean Six Sigma 17 (3), 1040-1066 , 2026
2026
A technological leap in workplace engagement for industry 5.0: Introducing BoosToRaise
J Salvadorinho, C Ferreira, L Teixeira
Technology in Society, 103276 , 2026
2026
The human face of lean: expanding the Shingo model through leadership behaviours
P Hines, H Zak, J Salvadorinho
International Journal of Lean Six Sigma 17 (1), 234-257 , 2026
2026
Citations: 3
Redefining Work: Benchmarking Employee Engagement Initiatives in Industry 5.0
T Silva, J Salvadorinho, L Teixeira
Procedia Computer Science 277, 3074-3082 , 2026
2026
Work Smarter, Not Harder: How BPM and Human Factor Team Up in Industry 5.0
A Ferreira, T Silva, H Fernandes, J Salvadorinho, L Teixeira
Procedia Computer Science 277, 1797-1805 , 2026
2026
Enhancing recruitment process for early-graduate employees in business consulting: A BPMN case study with AI-driven To-Be solution
A Ferreira, J Salvadorinho, L Teixeira
Procedia Computer Science 277, 1983-1991 , 2026
2026
Citations: 1
Harnessing knowledge management in the industrial metaverse: opportunities and challenges
J Salvadorinho, L Teixeira
Procedia Computer Science 277, 3616-3623 , 2026
2026
Evaluating Shingo model alignment at Toyota Portugal: analyzing operational excellence in Industry 4.0
M Silva, JP Salvadorinho, C Rodrigues, AR Xambre, H Alvelos
International Journal of Lean Six Sigma, 1-25 , 2025
2025
Citations: 3
NextGen 5.0 leadership in manufacturing: tackling workforce challenges with a multicountry and multicompany perspective
J Salvadorinho, P Hines, M Kumar, C Ferreira, L Teixeira
International Journal of Industrial Engineering and Management 16 (4), 377-388 , 2025
2025
Citations: 1
From Gen Z to Boomers: Motivational drivers shaping industry 5.0 and the future of work
J Salvadorinho, P Hines, M Kumar, C Ferreira, L Teixeira
Futures, 103731 , 2025
2025
Citations: 8
Engagement strategies in a digital multigenerational world: insights from multinational companies on unlocking the potential of human capital 4.0
J Salvadorinho, C Ferreira, L Teixeira
Journal of Intellectual Capital 26 (1), 174-204 , 2025
2025
Citations: 27
Revolutionizing Recruitment with AI: Empirical Insights into Benefits and Challenges
A Oliveira, B Coelho, J Moreira, L Salgado, J Salvadorinho, L Teixeira, ...
Procedia Computer Science 263, 696-703 , 2025
2025
Citations: 1
Human factor in the fourth industrial revolution: a framework to foster operator 4.0 working engagement
J Salvadorinho, C Ferreira, L Teixeira
Research summit 2024-Book of abstracts, 407 , 2024
2024
Citations: 1
DisneyHint: Lean and coaching-based employee suggestion system for the human challenges of Industry 4.0
J Salvadorinho, P Pintor, T Bastos, L Teixeira
Journal of Industrial Engineering and Management 17 (2), 516-541 , 2024
2024
Citations: 6
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
2024
Citations: 69
A talent management platform for HR 4.0 challenges: Usability evaluation based on testing and the TAM scale
J Salvadorinho, T Bastos, L Teixeira
Procedia Computer Science 239, 1328-1335 , 2024
2024
Citations: 8
A collaborative platform to support the creation of a Learning Organization in Industry 4.0: A co-created tool using three industrial contexts
J Salvadorinho, T Bastos, P Cruto, L Teixeira
Procedia Computer Science 232, 1347-1356 , 2024
2024
Citations: 3
Preliminary usability evaluation of UpSkill@ Mgmt 4.0: A tool to promote competency and career management in Industry 4.0
T Bastos, J Salvadorinho, L Teixeira
International Conference on Human-Computer Interaction, 115-127 , 2023
2023
Citations: 2
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
2023
Citations: 9

MOST CITED SCHOLAR PUBLICATIONS

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
2020
Citations: 341
Service robots in the hospitality industry: An exploratory literature review
A Rosete, B Soares, J Salvadorinho, J Reis, M Amorim
International conference on exploring services science, 174-186 , 2020
2020
Citations: 152
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
2023
Citations: 81
Organizational knowledge in the I4. 0 using BPMN: a case study
J Salvadorinho, L Teixeira
Procedia Computer Science 181, 981-988 , 2021
2021
Citations: 78
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
2024
Citations: 69
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
2021
Citations: 53
Empowering Generation Z in manufacturing organizations: a 6-factor self-determination extension
J Salvadorinho, P Hines, M Kumar, C Ferreira, L Teixeira
Journal of Work-Applied Management 18 (1), 130-149 , 2026
2026
Citations: 45
Engagement strategies in a digital multigenerational world: insights from multinational companies on unlocking the potential of human capital 4.0
J Salvadorinho, C Ferreira, L Teixeira
Journal of Intellectual Capital 26 (1), 174-204 , 2025
2025
Citations: 27
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
International Conference on Human-Computer Interaction, 641-651 , 2020
2020
Citations: 25
UpSkill@ Mgmt 4.0–A digital tool for competence management: Conceptual model and a prototype
J Salvadorinho
International journal of industrial engineering and management , 2022
2022
Citations: 22
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
2020
Citations: 22
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
2021
Citations: 16
Comparative study of distribution networks reconfiguration problem approaches
A Moura, J Salvadorinho, B Soares, J Cordeiro
RAIRO-Operations Research 55, S2083-S2124 , 2021
2021
Citations: 11
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
2023
Citations: 9
Leadership coaching framework tool-based to support worker engagement and retention in Industry 4.0
J Salvadorinho, L Teixeira
Proceedings of the5th European International Conference on Industrial … , 2022
2022
Citations: 9
From Gen Z to Boomers: Motivational drivers shaping industry 5.0 and the future of work
J Salvadorinho, P Hines, M Kumar, C Ferreira, L Teixeira
Futures, 103731 , 2025
2025
Citations: 8
A talent management platform for HR 4.0 challenges: Usability evaluation based on testing and the TAM scale
J Salvadorinho, T Bastos, L Teixeira
Procedia Computer Science 239, 1328-1335 , 2024
2024
Citations: 8
Information systems in industry 4.0: Mechanisms to support the shift from data to knowledge in lean environments
J Salvadorinho, L Teixeira
5th North American International Conference on Industrial Engineering and … , 2020
2020
Citations: 8
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
2022
Citations: 7
DisneyHint: Lean and coaching-based employee suggestion system for the human challenges of Industry 4.0
J Salvadorinho, P Pintor, T Bastos, L Teixeira
Journal of Industrial Engineering and Management 17 (2), 516-541 , 2024
2024
Citations: 6

Juliana Pereira Salvadorinho

RESEARCH, TEACHING, or OTHER INTERESTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS