| Full text | |
| Author(s): |
Freitas, Jonathan Simoes
[1]
;
de Melo, Julio Cezar Fonseca
[2]
;
Salerno, Mario Sergio
[2]
;
Bagno, Raoni Barros
[1]
;
Brasil, Vinicius Chagas
[2]
Total Authors: 5
|
| Affiliation: | [1] Fed Univ Minas Gerais UFMG, Presidente Antonio Carlos Ave 6627, Belo Horizonte, MG - Brazil
[2] Univ Sao Paulo, Polytech Sch, Dept Prod Engn, Av Prof Luciano Gualberto, BR-1380 Sao Paulo, SP - Brazil
Total Affiliations: 2
|
| Document type: | Journal article |
| Source: | METHODSX; v. 8, 2021. |
| Web of Science Citations: | 0 |
| Abstract | |
This paper presents an innovative application of event structure analysis (ESA). The key improvements incorporated on the method are: (i) a robust system for coding events; (ii) the use of causal process tracing tests for inferring necessary connections; (iii) the combination of ESA with network analyses. Finally, we propose five types of analysis for event network models (Le., critical elements, critical associations, critical connections, critical specific happenings, and critical antecedents) and exemplify some of them in a causal case study about the process of capability construction for open innovation management in an Industrial Electronic Manufacturer. ESA can be combined with process-tracing tests to ground counterfactual causal inferences. ESA can be combined with network analysis to explore quantitative patterns in event structures. ESA is an outstanding method to conduct process research in management and engineering. (C) 2021 The Authors. Published by Elsevier B.V. (AU) | |
| FAPESP's process: | 15/26662-5 - Uncertainty management in innovation activities |
| Grantee: | Mario Sergio Salerno |
| Support Opportunities: | Research Projects - Thematic Grants |