Evaluating and Evolving a Conceptual Model for Projects Observatories
Authors: 
Jeferson Kenedy Morais Vieira, Ivaldir Honório de Farias, Hermano Perrelli de MouraAuthors Info & Claims
Jeferson Kenedy Morais Vieira, Ivaldir Honório de Farias, Hermano Perrelli de MouraAuthors Info & ClaimsArticle No.: 29, Pages 1 - 8
Abstract
Context: observatories can be understood as information systems that support observation, providing transparency to a given phenomenon or knowledge area, through the collection, processing, storage and sharing of information. Problem: the typological and application areas diversity of the observatories has given rise to the need to develop models that help in the conceptualization and design of these observatories, respecting the specificities of their application contexts. The Model for Projects Observatories (MPO) was proposed as a conceptual model for observatories developed in the context of projects. However, the initial version of the MPO did not go through a formal evaluation process. Solution: from this scenario, this research aims to evaluate and, consequently, evolve the MPO. IS theory: the MPO was proposed from the sociotechnical approach. Methodology: this research has a descriptive character, and its evaluation was carried out through focus groups. The analysis of the results was carried out with a qualitative approach. Summary of Results: from this evaluation, 35 suggestions for improvements to the model were identified. The implementation of these improvements gave rise to a second version of the model that will be presented in this document. Contributions and Impact in the IS area: the main contribution of this article lies in the evaluation and evolution of the MPO, which understands project observatories as information systems to support observation and transparency in the context of projects.
References
[1]
Renata Araujo. 2017. Information Systems and the Open World Challenges. In GranDSI-BR – Grand Research Challenges in Information Systems in Brazil 2016 - 2026. Brazilian Computer Society (SBC), Chapter 4, 42–51.
[2]
Jan Betta and Liudmila Boronina. 2018. Transparency in Project Management – from Traditional to Agile. Advances in Economics, Business and Management Research 56, Febm(2018), 446–449. https://doi.org/10.2991/febm-18.2018.103
[3]
Virginia Braun and Victoria Clarke. 2008. Using thematic analysis in psychology,Qualitative Research in Psychology. Journal of Chemical Information and Modeling 3, 2 (2008), 77–101. http://dx.doi.org/10.1191/1478088706qp063oa
[4]
Ian C. Brown. 2017. The DNA of Web Observatories. Ph.D. Dissertation. University of Southampton. https://doi.org/10.1016/j.jsv.2010.04.020
[5]
Ivaldir H De Farias Junior, Jeferson Kenedy M Vieira, and Hermano P De Moura. 2021. O Uso de Redes Sociais como Mecanismos para Promoção de Transparência e Participação dos Stakeholders no contexto dos Projetos. In X Brazilian Workshop on Social Network Analysis and Mining (BraSNAM 2021), SBC (Ed.). Florianópolis, SC, 253–262.
[6]
Maximilian Heimstädt. 2017. Openwashing: A decoupling perspective on organizational transparency. Technological Forecasting and Social Change 125 (2017), 77–86. https://doi.org/10.1016/j.techfore.2017.03.037
[7]
Jeffery S. Horsburgh, Amber Spackman Jones, David K. Stevens, David G. Tarboton, and Nancy O. Mesner. 2010. A sensor network for high frequency estimation of water quality constituent fluxes using surrogates. Environmental Modelling and Software 25, 9 (2010), 1031–1044. https://doi.org/10.1016/j.envsoft.2009.10.012
[8]
Barbara Ann Kitchenham, David Budgen, and Pearl Brereton. 2016. Evidence-Based Software Engineering and Systematic Reviews. CRC Press, New York. 426 pages.
[9]
Jyrki Kontio, Laura Lehtola, and Johanna Bragge. 2004. Using the focus group method in software engineering: Obtaining practitioner and user experiences. Proceedings - 2004 International Symposium on Empirical Software Engineering, ISESE 2004 (2004), 271–280. https://doi.org/10.1109/ISESE.2004.1334914
[10]
Lirian Maria Meneghel and Edegar Luis Tomazzoni. 2012. A comunicação e a integração dos atores do turismo regional: o caso do observatório de turismo e cultura da serra gaúcha (OBSERVATUR). Revista Turismo Visão e Ação 14, 2(2012), 246 –260.
[11]
Marco Antonio Moreira. 2012. Mapas conceituais e aprendizagem significativa (concept maps and meaningful learning). Aprendizagem significativa, organizadores prévios, mapas conceituais, digramas V e Unidades de ensino potencialmente significativas (2012), 41.
[12]
Vanessa T. Nunes, Claudia Cappelli, and Célia G. Ralha. 2017. Transparency in Information Systems. In I GranDSI-BR – Grand Research Challenges in Information Systems in Brazil 2016 - 2026, Brazilian Computer Society (SBC) (Ed.). Chapter 7, 73–89.
[13]
Viviane Masseran Antunes Parreiras and Adelaide Maria de Souza Antunes. 2013. Aplicação de Foresight e Inteligência Competitiva em um Centro de P&D Empresarial por meio de um Observatório de Tendências: desafios e benefícios. Revista Gestão & Conexões 1, 1 (2013). https://doi.org/10.13071/regec.2317-5087.2012.1.1.3908.55-73
[14]
Mauricio Phélan. 2007. La red observatorios locales de Barcelona, España. Un estudio de casos para diseñar una propuesta nacional. Fermentum. Revista Venezolana de Sociología y Antropología 17, 48 (2007), 96–122.
[15]
PMI. 2018. A Guide to the Project Management Body of Knowledge (PMBOK Guide) (6ª editioned.). Project Management Institute (PMI). 756 pages.
[16]
Carlos Alexandre Porto. 2021. Um estudo sobre avaliação da maturidade em gerenciamento de projetos através dos dados de um observatório de projetos. Ph.D. Dissertation. Universidade Federal de Pernambuco.
[17]
Marici Cristine Gramacho Sakata, Armando Malheiro da Silva, Edson Luiz Riccio, and Maria Ligia Capobianco. 2013. Construção do Observatório USP CONTECSI : Análise da dinâmica científica e impacto nacional e internacional de um congresso acadêmico. Prisma.com 20(2013), 1–41.
[18]
Mônica Auricélia Oliveira Santana. 2021. Diretrizes para o desenvolvimento de observatórios de projetos nos portais da transparência dos Institutos Federais de Educação, Ciência e Tecnologia. Ph.D. Dissertation. Universidade Federal de Pernambuco.
[19]
Antonio Leopoldino da Silva, Marinilse Netto, Esperidião Amin Helou Filho, and Paulo Maurício Selig. 2013. Observatórios de informação e conhecimento: discutindo bases conceituais e perspectivas de efetividade. In IX Congreso Nacional de Excelencia em gestão. Rio de Janeiro, 22.
[20]
Lilian Campos Soares. 2018. Observatórios de Transporte e Logística: Diretrizes para um modelo conceitual. Ph.D. Dissertation. Universidade Católica de Brasilia.
[21]
Louise Spiteri. 1998. A simplified model for facet analysis: Ranganathan 101. Canadian Journal of Information and Library Science 23, 1-2 (1998).
[22]
D. Trzeciak. 2009. Modelo de observatório para arranjos produtivos locais. Ph.D. Dissertation. Universidade Federal de Santa Catarina, Florianópolis, SC.
[23]
Jeferson K. M. Vieira, Jessyca L. P. Barbosa, Ivaldir H. Farias Junior, and Hermano P. Moura. 2020. Universal Observatory of Projects: Initial Studies. In 15th Iberian Conference on Information Systems and Technologies (CISTI). Sevilla, Spain, 1–6. https://doi.org/10.23919/cisti49556.2020.9141001
[24]
Jeferson K M Vieira, Jessyca L P Barbosa, Ivaldir H De Farias Junior, and Hermano P De Moura. 2020. Observatories: A Systematic Mapping of the Literature. International Journal of Development Research 10, 9 (2020), 39869–39876.
[25]
Jeferson Kenedy Morais Vieira, Ivaldir Honório de Farias Junior, and Hermano Perrelli de Moura. 2021. Model for Projects Observatories : A Preliminary Study. In XVII Brazilian Symposium on Information Systems (SBSI 2021). ACM, Uberlândia, 8. https://doi.org/10.1145/3466933.3466940
[26]
Jeferson K M Vieira, Ivaldir H De Farias Jr, and Hermano P De Moura. 2021. Observatories as Transparency Instruments for Projects. In 16th Iberian Conference on Information Systems and Technologies (CISTI). AISTI, Chaves, Portugal, 23–26.
[27]
Claes Wohlin. 2014. Guidelines for snowballing in systematic literature studies and a replication in software engineering. In Proceedings of the 18th international conference on evaluation and assessment in software engineering. https://doi.org/10.1145/2601248.2601268
Index Terms
- Evaluating and Evolving a Conceptual Model for Projects Observatories
Index terms have been assigned to the content through auto-classification.
Recommendations
Evaluating a Conceptual Model for Projects Observatories through a Survey
SBSI '23: Proceedings of the XIX Brazilian Symposium on Information SystemsContext: observatories can be understood as information systems that support observation, providing transparency to a given phenomenon or knowledge area, through the collection, processing, storage and sharing of information. Problem: the typological ...
Model for Projects Observatories: A Preliminary Study
SBSI '21: Proceedings of the XVII Brazilian Symposium on Information SystemsIn the organizations and projects, the observation has been defined by the transparency construct in the recent literature. The development of tools to systematize transparency has presented as a challenge to organizations. In this sense, the ...
Comments
Information & Contributors
Information
Published In
May 2022
394 pages
ISBN:9781450396981
DOI:10.1145/3535511
Copyright © 2022 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 30 June 2022
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
SBSI '22
Acceptance Rates
Overall Acceptance Rate 181 of 557 submissions, 32%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 31Total Downloads
- Downloads (Last 12 months)4
- Downloads (Last 6 weeks)1
Reflects downloads up to 07 Mar 2025
Other Metrics
Citations
Cited By
View allView Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format