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Tereza R. Merlo

Title: Adjunct Faculty

Department: Information Science

College: College of Information

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, Capella University, 2016
    Major: Business and Information Technology
    Specialization: Knowledge Management, Organizational Management, Data Analysis, Information Systems, Organizational Support
    Dissertation: Factors influencing Knowledge Management use in IT enterprises in the Southern United States
  • MLS, University of North Texas, 2009
    Major: Information Sciences
  • MLIS, Federal University of Bahia, 2004
    Major: Information Sciences
  • BSIT, UFBA-Federal University of Bahia, 2003
    Major: Bachelor in Information Technologies and Archives
  • Certificate, Federal University of Bahia, 2001
    Major: Records Management
  • BTech, Business School, 1998
    Major: Business and Technologies

Current Scheduled Teaching

INFO 4307.401Knowledge Management Tools and TechnologiesSpring 2025
INFO 4307.401Knowledge Management Tools and TechnologiesFall 2024 Syllabus

Previous Scheduled Teaching

INFO 4307.001Knowledge Management Tools and TechnologiesSpring 2024 Syllabus SPOT
INFO 4307.001Knowledge Management Tools and TechnologiesFall 2023 Syllabus SPOT
INFO 4307.001Knowledge Management Tools and TechnologiesSpring 2023 Syllabus SPOT
INFO 4307.001Knowledge Management Tools and TechnologiesFall 2022 Syllabus SPOT
INFO 4307.001Knowledge Management Tools and TechnologiesSpring 2022 Syllabus SPOT
INFO 4307.001Knowledge Management Tools and TechnologiesFall 2021 Syllabus SPOT
INFO 4307.001Knowledge Management Tools and TechnologiesSpring 2021 Syllabus SPOT
INFO 4307.001Knowledge Management Tools and TechnologiesFall 2020 Syllabus SPOT
INFO 4307.005Knowledge Management Tools and TechnologiesFall 2020 SPOT
INFO 4307.001Knowledge Management Tools and TechnologiesSpring 2020 Syllabus
INFO 4307.005Knowledge Management Tools and TechnologiesSpring 2020
INFO 4307.001Knowledge Management Tools and TechnologiesFall 2019 Syllabus SPOT
INFO 4307.001Knowledge Management Tools and TechnologiesSpring 2019 Syllabus SPOT
INFO 4307.005Knowledge Management Tools and TechnologiesSpring 2019 Syllabus
INFO 4307.001Knowledge Management Tools and TechnologiesFall 2018 Syllabus SPOT
INFO 4307.005Knowledge Management Tools and TechnologiesFall 2018 SPOT
INFO 4307.001Knowledge Management Tools and TechnologiesSpring 2018 Syllabus SPOT
INFO 4307.001Knowledge Management Tools and TechnologiesFall 2017 Syllabus SPOT
INFO 4307.001Knowledge Management Tools and TechnologiesSpring 2017 Syllabus SPOT
INFO 4307.001Knowledge Management Tools and TechnologiesFall 2016 Syllabus SPOT
INFO 4307.001Knowledge Management Tools and TechnologiesSummer 5W1 2016 Syllabus SPOT
INFO 4307.001Knowledge Management Tools and TechnologiesFall 2015 SPOT
INFO 4307.001Knowledge Management Tools and TechnologiesSummer 5W1 2015 Syllabus SPOT

Published Intellectual Contributions

    Abstracts and Proceedings

  • Hawamdeh, S.M., Merlo, T.R., Allen, J.M. (2023). Generative AI, Knowledge Management and Data Management in organizations.. Florianópolis, 18th International Conference on Knowledge Management.
  • Book Chapter

  • Merlo, T., Hawamdeh, S. (2022). Information Overload and the Use of Data Analytics and Visualization Tools in Organizations. Understanding, Implementing, and Evaluating Knowledge Management in Business Settings. IGI Global.
  • Jeremiah Spence. (2004). https://repositorio.ufba.br/ri/bitstream/ufba/150/1/Informacao%20e%20comunicacao.PDF
  • Aida Varela. (2003). https://repositorio.ufba.br/ri/bitstream/ufba/133/1/Socializando%20informacoes.pdf
  • Conference Proceeding

  • Tereza Raquel Merlo. (2014). http://ickm2014.bilgiyonetimi.net/documents/ickm2014_program.pdf
  • Tereza Raquel Merlo. (2005). http://kmol.pt/artigos/2005/02/01/paradigma-gc
  • Journal Article

  • Merlo, T.R. (2016). Factors influencing knoweldge management use in high tech enterprises in the Southern United States. Elsevier International Journal on Computers and Electrical Engineering. 99 222. Viena, Procedia Computer Science. http://www.sciencedirect.com/science/article/pii/S1877050916322438
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Overall
Summative Rating
Challenge and
Engagement Index
Response Rate

out of 5

out of 7
%
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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