dc.contributor.author |
Van Schalkwyk, A
|
|
dc.contributor.author |
Grobbelaar, S
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|
dc.contributor.author |
Vermeulen, E
|
|
dc.contributor.author |
Herselman, Martha E
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|
dc.date.accessioned |
2023-03-24T13:00:18Z |
|
dc.date.available |
2023-03-24T13:00:18Z |
|
dc.date.issued |
2022-06 |
|
dc.identifier.citation |
Van Schalkwyk, A., Grobbelaar, S., Vermeulen, E. & Herselman, M.E. 2022. Contributing to monitoring and evaluation practices by conceptualizing a Valuable Insights from Log Analysis (VILA) Framework. http://hdl.handle.net/10204/12699 . |
en_ZA |
dc.identifier.isbn |
978-1-6654-8816-7 |
|
dc.identifier.uri |
DOI: 10.1109/ICE/ITMC-IAMOT55089.2022.10033267
|
|
dc.identifier.uri |
http://hdl.handle.net/10204/12699
|
|
dc.description.abstract |
Log analyses are proposed in response to the evidence base required for log-generating Apps. This article presents the VILA (Valuable Insights from Log Analysis) Framework, a conceptual framework that structures how valuable insights can be generated from log analysis to support Monitoring and Evaluation (M&E) practices. The design, development, and evaluation process is centered in the pragmatic research paradigm and follows the Design Science Research (DSR) methodology. Existing literature was reviewed to formulate building blocks and design requirements for the VILA Framework. The VILA Framework was evaluated and applied through expert reviews and an industry case study. Relevance cycles assessed and refined the VILA Framework. This article presents the main concepts, categories, and sub-concepts to derive valuable insights towards potential improvements of log-generating Apps. The VILA Framework focused on the quantitative log data concepts; however, it acknowledges the essential qualitative concepts needed to derive value from the log data. Despite its limitations, the VILA Framework provides a starting point for researchers to structure and implement log analyses beyond descriptive statistics towards increased or improved M&E practices. |
en_US |
dc.format |
Abstract |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10033267 |
en_US |
dc.relation.uri |
https://ice-iamot-2022-conference.org/ |
en_US |
dc.source |
IEEE 28th ICE/ITMC & 31st IAMOT Joint Conference in Nancy, France, 19-23 June 2022 |
en_US |
dc.subject |
Conceptual framework |
en_US |
dc.subject |
Design Science Research |
en_US |
dc.subject |
Log analysis |
en_US |
dc.subject |
Monitoring and evaluation |
en_US |
dc.subject |
VILA Framework |
en_US |
dc.title |
Contributing to monitoring and evaluation practices by conceptualizing a Valuable Insights from Log Analysis (VILA) Framework |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.description.pages |
51-59 |
en_US |
dc.description.note |
© 2022 IEEE. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website: https://ieeexplore.ieee.org/document/10033267 |
en_US |
dc.description.cluster |
Next Generation Enterprises & Institutions |
en_US |
dc.description.impactarea |
Technology Implementation ME |
en_US |
dc.identifier.apacitation |
Van Schalkwyk, A., Grobbelaar, S., Vermeulen, E., & Herselman, M. E. (2022). Contributing to monitoring and evaluation practices by conceptualizing a Valuable Insights from Log Analysis (VILA) Framework. http://hdl.handle.net/10204/12699 |
en_ZA |
dc.identifier.chicagocitation |
Van Schalkwyk, A, S Grobbelaar, E Vermeulen, and Martha E Herselman. "Contributing to monitoring and evaluation practices by conceptualizing a Valuable Insights from Log Analysis (VILA) Framework." <i>IEEE 28th ICE/ITMC & 31st IAMOT Joint Conference in Nancy, France, 19-23 June 2022</i> (2022): http://hdl.handle.net/10204/12699 |
en_ZA |
dc.identifier.vancouvercitation |
Van Schalkwyk A, Grobbelaar S, Vermeulen E, Herselman ME, Contributing to monitoring and evaluation practices by conceptualizing a Valuable Insights from Log Analysis (VILA) Framework; 2022. http://hdl.handle.net/10204/12699 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Van Schalkwyk, A
AU - Grobbelaar, S
AU - Vermeulen, E
AU - Herselman, Martha E
AB - Log analyses are proposed in response to the evidence base required for log-generating Apps. This article presents the VILA (Valuable Insights from Log Analysis) Framework, a conceptual framework that structures how valuable insights can be generated from log analysis to support Monitoring and Evaluation (M&E) practices. The design, development, and evaluation process is centered in the pragmatic research paradigm and follows the Design Science Research (DSR) methodology. Existing literature was reviewed to formulate building blocks and design requirements for the VILA Framework. The VILA Framework was evaluated and applied through expert reviews and an industry case study. Relevance cycles assessed and refined the VILA Framework. This article presents the main concepts, categories, and sub-concepts to derive valuable insights towards potential improvements of log-generating Apps. The VILA Framework focused on the quantitative log data concepts; however, it acknowledges the essential qualitative concepts needed to derive value from the log data. Despite its limitations, the VILA Framework provides a starting point for researchers to structure and implement log analyses beyond descriptive statistics towards increased or improved M&E practices.
DA - 2022-06
DB - ResearchSpace
DP - CSIR
J1 - IEEE 28th ICE/ITMC & 31st IAMOT Joint Conference in Nancy, France, 19-23 June 2022
KW - Conceptual framework
KW - Design Science Research
KW - Log analysis
KW - Monitoring and evaluation
KW - VILA Framework
LK - https://researchspace.csir.co.za
PY - 2022
SM - 978-1-6654-8816-7
T1 - Contributing to monitoring and evaluation practices by conceptualizing a Valuable Insights from Log Analysis (VILA) Framework
TI - Contributing to monitoring and evaluation practices by conceptualizing a Valuable Insights from Log Analysis (VILA) Framework
UR - http://hdl.handle.net/10204/12699
ER -
|
en_ZA |
dc.identifier.worklist |
26001 |
en_US |