Susan Stead | Technology Innovation | Best Researcher Award

Dr. Susan Stead , Technology Innovation, Best Researcher Award

Doctorate at RWTH University, Institute for Technology and Innovation Management, Germany

Google Scholar Profile
Scopus Profile

🌟Summary

Dr. Susan Stead is an Assistant Professor at RWTH Aachen University, specializing in Healthcare and Service Innovation. She serves as Managing Director of the Healthcare Innovation Lab and Digital Responsibility Lab at the Institute for Technology and Innovation Management. Her interdisciplinary research focuses on multisensory customer service experiences and the integration of artificial intelligence in healthcare.

🎓Education

  • Ph.D., Maastricht University, the Netherlands, 2020 Dissertation: “The Power of Senses: Unraveling Multisensory Customer Service Experiences”
  • M.Sc., International Business – Strategic Marketing (cum laude), Maastricht University, the Netherlands, 2014
  • B.B.A., Business Administration, Zuyd University of Applied Science, Maastricht, the Netherlands, 2013

đź’Ľ Professional Experience

Dr. Susan Stead brings over a decade of expertise in academia and research, currently serving as an Assistant Professor at RWTH Aachen University. Since joining RWTH Aachen in 2020, she has held pivotal roles including Managing Director of the Healthcare Innovation Lab and Digital Responsibility Lab at the Institute for Technology and Innovation Management. Dr. Stead’s career is marked by her leadership in interdisciplinary research, focusing on healthcare and service innovation. She has played a crucial role in advancing the understanding of multisensory customer service experiences and integrating artificial intelligence into healthcare practices. Her contributions extend to mentoring young talents in AI through her involvement with AI Grid and serving as a faculty board member at RWTH Aachen University.

🔬 Research Interests

Dr. Susan Stead’s research interests span the domains of healthcare and service innovation, with a particular emphasis on multisensory customer experiences and the application of artificial intelligence in healthcare settings. Her work explores how sensory modalities impact customer interactions and satisfaction, aiming to enhance service delivery across various industries. Dr. Stead is also passionate about digital transformation in service sectors, investigating how emerging technologies can optimize operational efficiencies and improve patient care outcomes. Her interdisciplinary approach integrates insights from service design, innovation management, and AI ethics, contributing to the development of future-focused strategies in healthcare innovation.

đź“– Publication Top Noted

Application of artificial intelligence systems in the emergency room: Do the communication patterns give indications for possible starting points? An observational study

    • Authors: Tjardes, T., Meyer, L.M., Lotz, A., Stead, S., Walossek, N.
    • Journal: Unfallchirurgie (Germany)
    • Volume: 126
    • Issue: 7
    • Pages: 552–558
    • Year: 2023

Hospital resource endowments and nosocomial infections: longitudinal evidence from the English National Health Service on Clostridioides difficile between 2011 and 2019

    • Authors: Stead, S., Vogt, L., Antons, D., Klasen, M., Sopka, S.
    • Journal: Journal of Hospital Infection
    • Volume: 134
    • Pages: 129–137
    • Year: 2023

It is Really Not a Game: An Integrative Review of Gamification for Service Research

    • Authors: Ciuchita, R., Heller, J., Köcher, S., Sidaoui, K., Stead, S.
    • Journal: Journal of Service Research
    • Volume: 26
    • Issue: 1
    • Pages: 3–20
    • Year: 2023

The Inscrutable New Actor: An Employee Perspective on the Flipside of AI

    • Authors: Stead, S.
    • Conference: International Conference on Information Systems (ICIS 2023)
    • Year: 2023

Toward Multisensory Customer Experiences: A Cross-Disciplinary Bibliometric Review and Future Research Directions

    • Authors: Stead, S., Wetzels, R., Wetzels, M., Odekerken-Schröder, G., Mahr, D.
    • Journal: Journal of Service Research
    • Volume: 25
    • Issue: 3
    • Pages: 440–459
    • Year: 2022

Amir Reza Rahimi | Innovation in Data Analysis | Best Researcher Award

Mr. Amir Reza Rahimi, Innovation in Data Analysis, Best Researcher Award

Mr. Amir Reza Rahimi at University of Valencia, Spain

orcid Profile

🌟Summary

Amir Reza Rahimi is a Ph.D. candidate at the University of Valencia, specializing in Language, Literature, and Cultures. With a background in English Language Teaching, he has extensive experience teaching at various educational levels in Iran. His research focuses on Computer-Assisted Language Learning (CALL), Massive Open Online Courses (MOOCs), psycholinguistics, and educational technology.

🎓Education

Amir Reza Rahimi holds a Master’s degree in English Language Teaching from the University of Mohaghegh Ardabili, Iran, where his thesis explored the impact of Massive Open Online Courses (MOOCs) on the relationship between online regulation and online motivational self-systems among Iranian EFL learners. Currently a Ph.D. candidate at the University of Valencia, Spain, in Language, Literature, and Cultures, his academic pursuits delve into Computer-Assisted Language Learning (CALL), psycholinguistics, and educational technology. Rahimi’s educational journey underscores his commitment to advancing the understanding of digital competence and innovative teaching methodologies in language education.

đź’Ľ Professional Experience

Amir Reza Rahimi brings a wealth of experience in English Language Teaching (ELT) across various educational settings in Iran. He has taught English at universities, high schools, and language institutes, enriching his pedagogical approach with workshops on integrating technology into language education for fellow educators. Rahimi’s career highlights include numerous publications in esteemed journals such as Computer-Assisted Language Learning (CALL) and presentations at international conferences like the TESOL International Convention and the World CALL conference. His research and teaching endeavors underscore his dedication to enhancing language learning through innovative educational technologies and pedagogical strategies.

🔬 Research Interests

Amir Reza Rahimi’s research interests are centered around advancing the field of language education through innovative approaches and technologies. His primary focus lies in Computer-Assisted Language Learning (CALL), exploring the integration of Massive Open Online Courses (MOOCs) and their impact on language learners’ motivation and self-regulation. Rahimi is also interested in psycholinguistics, investigating how digital tools and online environments influence language acquisition and educational outcomes. His work aims to bridge theoretical insights with practical applications in teacher education, enhancing digital competence and educational practices in language teaching and learning contexts.

đź“– Publication Top Noted

Title: Unifying EFL learners’ online self-regulation and online motivational self-system in MOOCs: A structural equation modeling approach

    • Authors: Amir Reza Rahimi, Zahra Cheraghi
    • Journal: Journal of Computers in Education
    • Year: 2024

Title: Beyond digital competence and language teaching skills: the bi-level factors associated with EFL teachers’ 21st-century digital competence to cultivate 21st-century digital skills

    • Authors: Amir Reza Rahimi
    • Journal: Education and Information Technologies
    • Year: 2024

Title: A bi-phenomenon analysis to escalate higher educators’ competence in developing university students’ information literacy (HECDUSIL): the role of language lectures’ conceptual and action-oriented digital competencies and skills

    • Authors: Amir Reza Rahimi
    • Journal: Education and Information Technologies
    • Year: 2024

Title: The role of ChatGPT readiness in shaping language teachers’ language teaching innovation and meeting accountability: A bisymmetric approach

    • Authors: Amir Reza Rahimi, Ana Sevilla-PavĂłn
    • Journal: Computers and Education: Artificial Intelligence
    • Year: 2024