Juliana Pereira Salvadorinho

@ua.pt

Assistant Professor in Science and Technology Department in Portucalense University, Porto, Portugal
University of aveiro

Juliana Pereira Salvadorinho


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https://researchid.co/julianasalvadorinho

RESEARCH, TEACHING, or OTHER INTERESTS

Industrial and Manufacturing Engineering, Information Systems, Human-Computer Interaction, Organizational Behavior and Human Resource Management
34

Scopus Publications

1030

Scholar Citations

12

Scholar h-index

13

Scholar i10-index

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
    The metaverse is rapidly emerging as a powerful enabler of Knowledge Management (KM), offering immersive, real-time environments. This study conducts a systematic literature review and SWOT analysis to assess its potential for transforming knowledge creation, sharing, and retention in industrial contexts. Key opportunities include enhanced engagement, collaborative virtual spaces, and interoperable knowledge infrastructures. However, challenges such as usability complexity, infrastructure disparities, and ethical risks persist. To address these, the paper offers strategic recommendations: simplify user interfaces, foster digital inclusion, ensure data security, and integrate metaverse tools with real-world learning. It also advocates for cross-sector collaboration, gamified learning, and agile system development. By aligning immersive technologies with the knowledge-based view of the firm, organizations can unlock scalable, ethical, and innovative KM solutions. The metaverse thus stands as both a challenge and a catalyst for future-ready, inclusive knowledge ecosystems.
  • 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
    In a world increasingly driven by Industry 5.0 and the forces of globalization, employee volatility is on the rise, creating a pressing need for efficient recruitment processes that can identify the right talent for ever-evolving roles. This study focuses on improving the recruitment process for recent graduates by integrating Artificial Intelligence to enhance efficiency. The research addresses the question: “How can the integration of AI tools transform the recruitment process from its current state (“AS-IS”) to an enhanced Industry 5.0 future state (“TO-BE”)?”. To explore this, the study involved direct observation at a Portuguese office of a consultancy that is one of the largest multinational firms offering consulting services. It also included informal discussions with the human resources teams and a review of existing literature. The current recruitment process was mapped by using BPMN 2.0, followed by the design of an ideal future process, an AI-driven model. The results highlight how AI can streamline recruitment tasks, improve candidate selection, and enable more data-driven decisions, providing insights into the future of recruitment in an increasingly digital world.
  • 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
    The rise of Industry 5.0 (I5.0)—with human-centricity as its defining pillar, complemented by sustainability and resilience—coincides with an unprecedented moment in workforce history: the simultaneous presence of four generations, including the emerging Generation Z. Human-centricity in this paradigm emphasizes well-being, purpose, and meaningful work as critical elements in reconfiguring organizations. Despite its centrality, there is still limited scholarly understanding of how generational motivations align or diverge in shaping this human-centered future of work. This study addresses that gap by exploring work-related motivators across Baby Boomers, Generation X, Y, and Z, aiming to inform foresight-driven organizational strategies. Using an inductive, two-phase approach—a Generation Z-focused workshop followed by a global multigenerational survey—we applied Correspondence Analysis to map value clusters among the generations. Findings reveal that Gen Y and Z converge on priorities like work-life balance, career development, and non-monetary incentives, while Gen X shares Z’s sense of purpose, albeit with more organizational and societal framing. Baby Boomers diverge most, valuing stability, creativity, and structured environments. Theoretically, the study contributes to futures scholarship by conceptualizing generational values as foresight variables—early signals of paradigm shifts in leadership, purpose, and motivation that reinforce and extend the human-centric vision of I5.0. Practically, we offer recommendations for designing inclusive, foresight-informed HR strategies that leverage generational diversity as a foundation for socially just and future-resilient organizations.
  • 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
    This study investigates the integration of Business Process Management (BPM), Industry 5.0 (I5.0), and talent management to enable more resilient, sustainable, and human-centric organizations. Despite substantial research in each field, their convergence remains underexplored. To address this gap, a systematic double-entry literature review was conducted. The findings informed the development of the Unified Talent Management Process Framework 5.0, which links BPM strategies with I5.0 principles. The framework draws on Job Characteristics Theory and Human-Centered Design to support human-centricity through process-oriented role design, appraisals, and motivation. It integrates Technology-Enhanced Learning (TEL) to enhance organizational resilience via continuous upskilling and reskilling, grounded in Dynamic Capabilities Theory. Sustainability is addressed through BPM-enabled optimization aligned with the Triple Bottom Line—balancing People, Planet, and Profit. This study offers a practical and theoretical foundation for aligning talent management with I5.0 through strategic process design and organizational foresight.
  • NextGen 5.0 Leadership in Manufacturing: Tackling Workforce Challenges with a Multicountry and Multicompany Perspective
    Science, Technology Department of Portucalense University, Porto, Portugal, Juliana Salvadorinho, REMIT – Research on Economics, Management, Information Technologies, Portucalense University, Porto, Portugal, IEETA (Institute of Electronics, Informatics Engineering of Aveiro), University of Aveiro, Aveiro, Portugal;, Peter Hines, Lean Industry 4.0, workLAB, IDA Business Park;, South East Technological University, Waterford, Ireland;, Maneesh Kumar, Cardiff Business School, Cardiff University, Wales, Carlos Ferreira, Department of Economics, Management, Industrial Engineering, Tourism (DEGEIT), University of Aveiro, Aveiro, Portugal, Institute of Electronics, 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, Leonor Teixeira, Carlos Ferreira
    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, Tourism (DEGEIT), University of Aveiro, Aveiro, Portugal, Tiago Bastos, Juliana Salvadorinho, Institute of Electronics, Informatics Engineering of Aveiro (IEETA), University of Aveiro, Aveiro, Portugal, Leonor Teixeira, Institute of Electronics, Informatics Engineering of Aveiro (IEETA), University of Aveiro, Aveiro, Portugal
    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