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Artigo de periodico
Investigating business process changes: a framework for identifying outdated process models (2024)
Avila, Diego Toralles ; Sosa Sanchez, Encarna ; Fantinato, Marcelo ; Polančič, Gregor ; Thom, Lucineia Heloisa
Fonte: Business Process Management Journal. Unidade: EACH
Assuntos: GESTÃO DE NEGÓCIOS, MODELO DE NEGÓCIO, REDES DE NEGÓCIOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AVILA, Diego Toralles et al. Investigating business process changes: a framework for identifying outdated process models. Business Process Management Journal, p. 01-24, 2024Tradução . . Disponível em: http://dx.doi.org/10.1108/BPMJ-11-2023-0863. Acesso em: 14 nov. 2024.
APA
Avila, D. T., Sosa Sanchez, E., Fantinato, M., Polančič, G., & Thom, L. H. (2024). Investigating business process changes: a framework for identifying outdated process models. Business Process Management Journal, 01-24. doi:10.1108/BPMJ-11-2023-0863
NLM
Avila DT, Sosa Sanchez E, Fantinato M, Polančič G, Thom LH. Investigating business process changes: a framework for identifying outdated process models [Internet]. Business Process Management Journal. 2024 ; 01-24.[citado 2024 nov. 14 ] Available from: http://dx.doi.org/10.1108/BPMJ-11-2023-0863
Vancouver
Avila DT, Sosa Sanchez E, Fantinato M, Polančič G, Thom LH. Investigating business process changes: a framework for identifying outdated process models [Internet]. Business Process Management Journal. 2024 ; 01-24.[citado 2024 nov. 14 ] Available from: http://dx.doi.org/10.1108/BPMJ-11-2023-0863
Artigo de periodico
Business process point analysis: survey experiments (2017)
Baklizky, Maruscia; Fantinato, Marcelo; Thom, Lucineia Heloisa; Sun, Violeta; Hung, Patrick C. K
Fonte: Business Process Management Journal. Unidade: EACH
Assuntos: GESTÃO POR PROCESSOS, NEGÓCIOS, REENGENHARIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BAKLIZKY, Maruscia et al. Business process point analysis: survey experiments. Business Process Management Journal, v. 23, n. 2, p. 399-424, 2017Tradução . . Disponível em: https://doi.org/10.1108/BPMJ-03-2016-0061. Acesso em: 14 nov. 2024.
APA
Baklizky, M., Fantinato, M., Thom, L. H., Sun, V., & Hung, P. C. K. (2017). Business process point analysis: survey experiments. Business Process Management Journal, 23( 2), 399-424. doi:10.1108/BPMJ-03-2016-0061
NLM
Baklizky M, Fantinato M, Thom LH, Sun V, Hung PCK. Business process point analysis: survey experiments [Internet]. Business Process Management Journal. 2017 ; 23( 2): 399-424.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1108/BPMJ-03-2016-0061
Vancouver
Baklizky M, Fantinato M, Thom LH, Sun V, Hung PCK. Business process point analysis: survey experiments [Internet]. Business Process Management Journal. 2017 ; 23( 2): 399-424.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1108/BPMJ-03-2016-0061
Artigo de periodico
Dynamic product line for Business Process Management (2015)
Rocha, Roberto dos Santos; Fantinato, Marcelo; Thom, Lucinéia Heloisa; Eler, Marcelo Medeiros
Fonte: Business Process Management Journal. Unidade: EACH
Assunto: PRODUÇÃO CIENTÍFICA
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ABNT
ROCHA, Roberto dos Santos et al. Dynamic product line for Business Process Management. Business Process Management Journal, v. 21, n. 6, p. 1224-1256, 2015Tradução . . Disponível em: https://doi.org/10.1108/BPMJ-09-2014-0091. Acesso em: 14 nov. 2024.
APA
Rocha, R. dos S., Fantinato, M., Thom, L. H., & Eler, M. M. (2015). Dynamic product line for Business Process Management. Business Process Management Journal, 21( 6), 1224-1256. doi:10.1108/BPMJ-09-2014-0091
NLM
Rocha R dos S, Fantinato M, Thom LH, Eler MM. Dynamic product line for Business Process Management [Internet]. Business Process Management Journal. 2015 ; 21( 6): 1224-1256.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1108/BPMJ-09-2014-0091
Vancouver
Rocha R dos S, Fantinato M, Thom LH, Eler MM. Dynamic product line for Business Process Management [Internet]. Business Process Management Journal. 2015 ; 21( 6): 1224-1256.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1108/BPMJ-09-2014-0091
Artigo de periodico
Process mining through artificial neural networks and support vector machines: a systematic literature review (2015)
Maita, Ana Rocío Cárdenas; Martins, Lucas Corrêa; Paz , Carlos Ramón López; Peres, Sarajane Marques; Fantinato, Marcelo
Fonte: Business Process Management Journal. Unidade: EACH
Assunto: PRODUÇÃO CIENTÍFICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MAITA, Ana Rocío Cárdenas et al. Process mining through artificial neural networks and support vector machines: a systematic literature review. Business Process Management Journal, v. 21, n. 6, p. 1391-1415, 2015Tradução . . Disponível em: https://doi.org/10.1108/BPMJ-02-2015-0017. Acesso em: 14 nov. 2024.
APA
Maita, A. R. C., Martins, L. C., Paz , C. R. L., Peres, S. M., & Fantinato, M. (2015). Process mining through artificial neural networks and support vector machines: a systematic literature review. Business Process Management Journal, 21( 6), 1391-1415. doi:10.1108/BPMJ-02-2015-0017
NLM
Maita ARC, Martins LC, Paz CRL, Peres SM, Fantinato M. Process mining through artificial neural networks and support vector machines: a systematic literature review [Internet]. Business Process Management Journal. 2015 ; 21( 6): 1391-1415.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1108/BPMJ-02-2015-0017
Vancouver
Maita ARC, Martins LC, Paz CRL, Peres SM, Fantinato M. Process mining through artificial neural networks and support vector machines: a systematic literature review [Internet]. Business Process Management Journal. 2015 ; 21( 6): 1391-1415.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1108/BPMJ-02-2015-0017

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