Interdependency patterns of potential seaport risk factors in relation to supply chain disruption in Indonesia

As an integral part of the global supply chain network, Indonesian supply chain entities should understand conditional seaport risk factors that could lead to seaport threats that affect supply chain continuity. This study aims to provide a procedure for evaluating the interdependencies, implication...
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Gespeichert in:

Autor*in:	Bagus, Muhammad Reza Do. [verfasserIn] Hanaoka, Shinya [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Rechteinformationen:	Open Access Namensnennung 4.0 International ; CC BY 4.0

Schlagwörter:	Association rule mining Genetic algorithm Interdependency risk analysis Rule rough set theory Seaport risk factors

Übergeordnetes Werk:	Enthalten in: Journal of shipping and trade - [London] : SpringerOpen, 2016, 8(2023), 1, Artikel-ID 6, Seite 1-28
Übergeordnetes Werk:	volume:8 ; year:2023 ; number:1 ; elocationid:6 ; pages:1-28

Links:	Link aufrufen Link aufrufen Link aufrufen

DOI / URN:	10.1186/s41072-023-00137-w

Katalog-ID:	1885597541

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allfields	10.1186/s41072-023-00137-w doi 10419/298942 hdl (DE-627)1885597541 (DE-599)KXP1885597541 DE-627 ger DE-627 rda eng Bagus, Muhammad Reza Do. verfasserin (DE-588)1332724981 (DE-627)189111591X aut Interdependency patterns of potential seaport risk factors in relation to supply chain disruption in Indonesia Muhammad Reza Do. Bagus and Shinya Hanaoka 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 As an integral part of the global supply chain network, Indonesian supply chain entities should understand conditional seaport risk factors that could lead to seaport threats that affect supply chain continuity. This study aims to provide a procedure for evaluating the interdependencies, implications, and correlations among various seaport risk factors for supply chain threats, specifically by investigating current practices in the developed economic region of Indonesian seaport operations. The study uses a rough set method to solve feature selection problems and multivariate analysis of variance to assess the correlation between dependent and independent variables. We find 39 conditional seaport risk factors that are potentially influenced by about 21 dependent factors related to seaport-fulcrum supply chain entities. Furthermore, threats from the planning process, infrastructure, seaport service process, distribution process, financial costs of nuclear enterprises and security existed and affluent highest potential risk in Indonesia. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Association rule mining (dpeaa)DE-206 Genetic algorithm (dpeaa)DE-206 Interdependency risk analysis (dpeaa)DE-206 Rule rough set theory (dpeaa)DE-206 Seaport risk factors (dpeaa)DE-206 Hanaoka, Shinya verfasserin aut Enthalten in Journal of shipping and trade [London] : SpringerOpen, 2016 8(2023), 1, Artikel-ID 6, Seite 1-28 Online-Ressource (DE-627)844386278 (DE-600)2843080-3 (DE-576)453511120 2364-4575 nnns volume:8 year:2023 number:1 elocationid:6 pages:1-28 https://jshippingandtrade.springeropen.com/counter/pdf/10.1186/s41072-023-00137-w.pdf Verlag kostenfrei https://doi.org/10.1186/s41072-023-00137-w Resolving-System kostenfrei https://hdl.handle.net/10419/298942 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 8 2023 1 6 1-28 26 01 0206 4510466323 x1z 11-04-24 2403 01 DE-LFER 4520737567 00 --%%-- --%%-- n --%%-- l01 06-05-24 2403 01 DE-LFER https://doi.org/10.1186/s41072-023-00137-w 2403 01 DE-LFER https://jshippingandtrade.springeropen.com/counter/pdf/10.1186/s41072-023-00137-w.pdf
spelling	10.1186/s41072-023-00137-w doi 10419/298942 hdl (DE-627)1885597541 (DE-599)KXP1885597541 DE-627 ger DE-627 rda eng Bagus, Muhammad Reza Do. verfasserin (DE-588)1332724981 (DE-627)189111591X aut Interdependency patterns of potential seaport risk factors in relation to supply chain disruption in Indonesia Muhammad Reza Do. Bagus and Shinya Hanaoka 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 As an integral part of the global supply chain network, Indonesian supply chain entities should understand conditional seaport risk factors that could lead to seaport threats that affect supply chain continuity. This study aims to provide a procedure for evaluating the interdependencies, implications, and correlations among various seaport risk factors for supply chain threats, specifically by investigating current practices in the developed economic region of Indonesian seaport operations. The study uses a rough set method to solve feature selection problems and multivariate analysis of variance to assess the correlation between dependent and independent variables. We find 39 conditional seaport risk factors that are potentially influenced by about 21 dependent factors related to seaport-fulcrum supply chain entities. Furthermore, threats from the planning process, infrastructure, seaport service process, distribution process, financial costs of nuclear enterprises and security existed and affluent highest potential risk in Indonesia. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Association rule mining (dpeaa)DE-206 Genetic algorithm (dpeaa)DE-206 Interdependency risk analysis (dpeaa)DE-206 Rule rough set theory (dpeaa)DE-206 Seaport risk factors (dpeaa)DE-206 Hanaoka, Shinya verfasserin aut Enthalten in Journal of shipping and trade [London] : SpringerOpen, 2016 8(2023), 1, Artikel-ID 6, Seite 1-28 Online-Ressource (DE-627)844386278 (DE-600)2843080-3 (DE-576)453511120 2364-4575 nnns volume:8 year:2023 number:1 elocationid:6 pages:1-28 https://jshippingandtrade.springeropen.com/counter/pdf/10.1186/s41072-023-00137-w.pdf Verlag kostenfrei https://doi.org/10.1186/s41072-023-00137-w Resolving-System kostenfrei https://hdl.handle.net/10419/298942 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 8 2023 1 6 1-28 26 01 0206 4510466323 x1z 11-04-24 2403 01 DE-LFER 4520737567 00 --%%-- --%%-- n --%%-- l01 06-05-24 2403 01 DE-LFER https://doi.org/10.1186/s41072-023-00137-w 2403 01 DE-LFER https://jshippingandtrade.springeropen.com/counter/pdf/10.1186/s41072-023-00137-w.pdf
allfields_unstemmed	10.1186/s41072-023-00137-w doi 10419/298942 hdl (DE-627)1885597541 (DE-599)KXP1885597541 DE-627 ger DE-627 rda eng Bagus, Muhammad Reza Do. verfasserin (DE-588)1332724981 (DE-627)189111591X aut Interdependency patterns of potential seaport risk factors in relation to supply chain disruption in Indonesia Muhammad Reza Do. Bagus and Shinya Hanaoka 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 As an integral part of the global supply chain network, Indonesian supply chain entities should understand conditional seaport risk factors that could lead to seaport threats that affect supply chain continuity. This study aims to provide a procedure for evaluating the interdependencies, implications, and correlations among various seaport risk factors for supply chain threats, specifically by investigating current practices in the developed economic region of Indonesian seaport operations. The study uses a rough set method to solve feature selection problems and multivariate analysis of variance to assess the correlation between dependent and independent variables. We find 39 conditional seaport risk factors that are potentially influenced by about 21 dependent factors related to seaport-fulcrum supply chain entities. Furthermore, threats from the planning process, infrastructure, seaport service process, distribution process, financial costs of nuclear enterprises and security existed and affluent highest potential risk in Indonesia. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Association rule mining (dpeaa)DE-206 Genetic algorithm (dpeaa)DE-206 Interdependency risk analysis (dpeaa)DE-206 Rule rough set theory (dpeaa)DE-206 Seaport risk factors (dpeaa)DE-206 Hanaoka, Shinya verfasserin aut Enthalten in Journal of shipping and trade [London] : SpringerOpen, 2016 8(2023), 1, Artikel-ID 6, Seite 1-28 Online-Ressource (DE-627)844386278 (DE-600)2843080-3 (DE-576)453511120 2364-4575 nnns volume:8 year:2023 number:1 elocationid:6 pages:1-28 https://jshippingandtrade.springeropen.com/counter/pdf/10.1186/s41072-023-00137-w.pdf Verlag kostenfrei https://doi.org/10.1186/s41072-023-00137-w Resolving-System kostenfrei https://hdl.handle.net/10419/298942 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 8 2023 1 6 1-28 26 01 0206 4510466323 x1z 11-04-24 2403 01 DE-LFER 4520737567 00 --%%-- --%%-- n --%%-- l01 06-05-24 2403 01 DE-LFER https://doi.org/10.1186/s41072-023-00137-w 2403 01 DE-LFER https://jshippingandtrade.springeropen.com/counter/pdf/10.1186/s41072-023-00137-w.pdf
allfieldsGer	10.1186/s41072-023-00137-w doi 10419/298942 hdl (DE-627)1885597541 (DE-599)KXP1885597541 DE-627 ger DE-627 rda eng Bagus, Muhammad Reza Do. verfasserin (DE-588)1332724981 (DE-627)189111591X aut Interdependency patterns of potential seaport risk factors in relation to supply chain disruption in Indonesia Muhammad Reza Do. Bagus and Shinya Hanaoka 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 As an integral part of the global supply chain network, Indonesian supply chain entities should understand conditional seaport risk factors that could lead to seaport threats that affect supply chain continuity. This study aims to provide a procedure for evaluating the interdependencies, implications, and correlations among various seaport risk factors for supply chain threats, specifically by investigating current practices in the developed economic region of Indonesian seaport operations. The study uses a rough set method to solve feature selection problems and multivariate analysis of variance to assess the correlation between dependent and independent variables. We find 39 conditional seaport risk factors that are potentially influenced by about 21 dependent factors related to seaport-fulcrum supply chain entities. Furthermore, threats from the planning process, infrastructure, seaport service process, distribution process, financial costs of nuclear enterprises and security existed and affluent highest potential risk in Indonesia. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Association rule mining (dpeaa)DE-206 Genetic algorithm (dpeaa)DE-206 Interdependency risk analysis (dpeaa)DE-206 Rule rough set theory (dpeaa)DE-206 Seaport risk factors (dpeaa)DE-206 Hanaoka, Shinya verfasserin aut Enthalten in Journal of shipping and trade [London] : SpringerOpen, 2016 8(2023), 1, Artikel-ID 6, Seite 1-28 Online-Ressource (DE-627)844386278 (DE-600)2843080-3 (DE-576)453511120 2364-4575 nnns volume:8 year:2023 number:1 elocationid:6 pages:1-28 https://jshippingandtrade.springeropen.com/counter/pdf/10.1186/s41072-023-00137-w.pdf Verlag kostenfrei https://doi.org/10.1186/s41072-023-00137-w Resolving-System kostenfrei https://hdl.handle.net/10419/298942 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 8 2023 1 6 1-28 26 01 0206 4510466323 x1z 11-04-24 2403 01 DE-LFER 4520737567 00 --%%-- --%%-- n --%%-- l01 06-05-24 2403 01 DE-LFER https://doi.org/10.1186/s41072-023-00137-w 2403 01 DE-LFER https://jshippingandtrade.springeropen.com/counter/pdf/10.1186/s41072-023-00137-w.pdf
allfieldsSound	10.1186/s41072-023-00137-w doi 10419/298942 hdl (DE-627)1885597541 (DE-599)KXP1885597541 DE-627 ger DE-627 rda eng Bagus, Muhammad Reza Do. verfasserin (DE-588)1332724981 (DE-627)189111591X aut Interdependency patterns of potential seaport risk factors in relation to supply chain disruption in Indonesia Muhammad Reza Do. Bagus and Shinya Hanaoka 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 As an integral part of the global supply chain network, Indonesian supply chain entities should understand conditional seaport risk factors that could lead to seaport threats that affect supply chain continuity. This study aims to provide a procedure for evaluating the interdependencies, implications, and correlations among various seaport risk factors for supply chain threats, specifically by investigating current practices in the developed economic region of Indonesian seaport operations. The study uses a rough set method to solve feature selection problems and multivariate analysis of variance to assess the correlation between dependent and independent variables. We find 39 conditional seaport risk factors that are potentially influenced by about 21 dependent factors related to seaport-fulcrum supply chain entities. Furthermore, threats from the planning process, infrastructure, seaport service process, distribution process, financial costs of nuclear enterprises and security existed and affluent highest potential risk in Indonesia. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Association rule mining (dpeaa)DE-206 Genetic algorithm (dpeaa)DE-206 Interdependency risk analysis (dpeaa)DE-206 Rule rough set theory (dpeaa)DE-206 Seaport risk factors (dpeaa)DE-206 Hanaoka, Shinya verfasserin aut Enthalten in Journal of shipping and trade [London] : SpringerOpen, 2016 8(2023), 1, Artikel-ID 6, Seite 1-28 Online-Ressource (DE-627)844386278 (DE-600)2843080-3 (DE-576)453511120 2364-4575 nnns volume:8 year:2023 number:1 elocationid:6 pages:1-28 https://jshippingandtrade.springeropen.com/counter/pdf/10.1186/s41072-023-00137-w.pdf Verlag kostenfrei https://doi.org/10.1186/s41072-023-00137-w Resolving-System kostenfrei https://hdl.handle.net/10419/298942 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 8 2023 1 6 1-28 26 01 0206 4510466323 x1z 11-04-24 2403 01 DE-LFER 4520737567 00 --%%-- --%%-- n --%%-- l01 06-05-24 2403 01 DE-LFER https://doi.org/10.1186/s41072-023-00137-w 2403 01 DE-LFER https://jshippingandtrade.springeropen.com/counter/pdf/10.1186/s41072-023-00137-w.pdf
language	English
source	Enthalten in Journal of shipping and trade 8(2023), 1, Artikel-ID 6, Seite 1-28 volume:8 year:2023 number:1 elocationid:6 pages:1-28
sourceStr	Enthalten in Journal of shipping and trade 8(2023), 1, Artikel-ID 6, Seite 1-28 volume:8 year:2023 number:1 elocationid:6 pages:1-28
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topic_facet	Association rule mining Genetic algorithm Interdependency risk analysis Rule rough set theory Seaport risk factors
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container_title	Journal of shipping and trade
authorswithroles_txt_mv	Bagus, Muhammad Reza Do. @@aut@@ Hanaoka, Shinya @@aut@@
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topic_title	Interdependency patterns of potential seaport risk factors in relation to supply chain disruption in Indonesia Muhammad Reza Do. Bagus and Shinya Hanaoka Association rule mining (dpeaa)DE-206 Genetic algorithm (dpeaa)DE-206 Interdependency risk analysis (dpeaa)DE-206 Rule rough set theory (dpeaa)DE-206 Seaport risk factors (dpeaa)DE-206
topic	misc Association rule mining misc Genetic algorithm misc Interdependency risk analysis misc Rule rough set theory misc Seaport risk factors
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title	Interdependency patterns of potential seaport risk factors in relation to supply chain disruption in Indonesia
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title_full	Interdependency patterns of potential seaport risk factors in relation to supply chain disruption in Indonesia Muhammad Reza Do. Bagus and Shinya Hanaoka
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title_sort	interdependency patterns of potential seaport risk factors in relation to supply chain disruption in indonesia
title_auth	Interdependency patterns of potential seaport risk factors in relation to supply chain disruption in Indonesia
abstract	As an integral part of the global supply chain network, Indonesian supply chain entities should understand conditional seaport risk factors that could lead to seaport threats that affect supply chain continuity. This study aims to provide a procedure for evaluating the interdependencies, implications, and correlations among various seaport risk factors for supply chain threats, specifically by investigating current practices in the developed economic region of Indonesian seaport operations. The study uses a rough set method to solve feature selection problems and multivariate analysis of variance to assess the correlation between dependent and independent variables. We find 39 conditional seaport risk factors that are potentially influenced by about 21 dependent factors related to seaport-fulcrum supply chain entities. Furthermore, threats from the planning process, infrastructure, seaport service process, distribution process, financial costs of nuclear enterprises and security existed and affluent highest potential risk in Indonesia.
abstractGer	As an integral part of the global supply chain network, Indonesian supply chain entities should understand conditional seaport risk factors that could lead to seaport threats that affect supply chain continuity. This study aims to provide a procedure for evaluating the interdependencies, implications, and correlations among various seaport risk factors for supply chain threats, specifically by investigating current practices in the developed economic region of Indonesian seaport operations. The study uses a rough set method to solve feature selection problems and multivariate analysis of variance to assess the correlation between dependent and independent variables. We find 39 conditional seaport risk factors that are potentially influenced by about 21 dependent factors related to seaport-fulcrum supply chain entities. Furthermore, threats from the planning process, infrastructure, seaport service process, distribution process, financial costs of nuclear enterprises and security existed and affluent highest potential risk in Indonesia.
abstract_unstemmed	As an integral part of the global supply chain network, Indonesian supply chain entities should understand conditional seaport risk factors that could lead to seaport threats that affect supply chain continuity. This study aims to provide a procedure for evaluating the interdependencies, implications, and correlations among various seaport risk factors for supply chain threats, specifically by investigating current practices in the developed economic region of Indonesian seaport operations. The study uses a rough set method to solve feature selection problems and multivariate analysis of variance to assess the correlation between dependent and independent variables. We find 39 conditional seaport risk factors that are potentially influenced by about 21 dependent factors related to seaport-fulcrum supply chain entities. Furthermore, threats from the planning process, infrastructure, seaport service process, distribution process, financial costs of nuclear enterprises and security existed and affluent highest potential risk in Indonesia.
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title_short	Interdependency patterns of potential seaport risk factors in relation to supply chain disruption in Indonesia
url	https://jshippingandtrade.springeropen.com/counter/pdf/10.1186/s41072-023-00137-w.pdf https://doi.org/10.1186/s41072-023-00137-w https://hdl.handle.net/10419/298942
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Interdependency patterns of potential seaport risk factors in relation to supply chain disruption in Indonesia

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