Exploring and Validating Container Operational Risk Scale in Container Shipping: The Case of Ethiopian Shipping and Logistics Service Enterprise
The risk associated with container shipping has been a major concern in recent decades. This study presents three major risk frameworks to systematically and inclusively explore and validate container operational risk scales based on risk factors derived from the extant literature. The three risk fr...
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description | The risk associated with container shipping has been a major concern in recent decades. This study presents three major risk frameworks to systematically and inclusively explore and validate container operational risk scales based on risk factors derived from the extant literature. The three risk frameworks identified are risks related to information flow, risks related to physical flow, and risks related to payment flow. Each risk factor is grouped into sub-factors (dimensions), three factors for information flow, two factors for physical flow, and two factors for payment flow. The study uses Ethiopia as a case study and employed both qualitative and quantitative research methods. An interview survey was conducted to explore additional risk factors and validate the identified risk factors in container shipping, and a questionnaire survey was then accompanied to collect the relevant data. A pairwise comparison chart (PCC) was employed to rank the risk dimensions. The results showed that the container operational risk model is satisfactory by employing exploratory and confirmatory factor analysis. Furthermore, the PCC result indicates that risk of loss or damage of goods/assets, payment delay, and decrease in or total loss of payment were ranked first, second, and third, respectively, and consequently the most significant dimensions of the risk factors. This study provides a reliable and valid scale for measuring container operational risk in container shipping companies. It also unlocks future works for using the identified risk factors as guidelines for researchers and experts to design and develop container operational risk dimensions. |
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This study presents three major risk frameworks to systematically and inclusively explore and validate container operational risk scales based on risk factors derived from the extant literature. The three risk frameworks identified are risks related to information flow, risks related to physical flow, and risks related to payment flow. Each risk factor is grouped into sub-factors (dimensions), three factors for information flow, two factors for physical flow, and two factors for payment flow. The study uses Ethiopia as a case study and employed both qualitative and quantitative research methods. An interview survey was conducted to explore additional risk factors and validate the identified risk factors in container shipping, and a questionnaire survey was then accompanied to collect the relevant data. A pairwise comparison chart (PCC) was employed to rank the risk dimensions. The results showed that the container operational risk model is satisfactory by employing exploratory and confirmatory factor analysis. Furthermore, the PCC result indicates that risk of loss or damage of goods/assets, payment delay, and decrease in or total loss of payment were ranked first, second, and third, respectively, and consequently the most significant dimensions of the risk factors. This study provides a reliable and valid scale for measuring container operational risk in container shipping companies. It also unlocks future works for using the identified risk factors as guidelines for researchers and experts to design and develop container operational risk dimensions.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su13169248</identifier><language>eng</language><publisher>BASEL: Mdpi</publisher><subject><![CDATA[Case studies ; Containers ; Decision support systems ; Employees ; Environmental Sciences ; Environmental Sciences & Ecology ; Environmental Studies ; Factor analysis ; Green & Sustainable Science & Technology ; Information flow ; Life Sciences & Biomedicine ; Logistics ; Logistics services ; Medical research ; Medicine, Experimental ; Payments ; Polls & surveys ; Ports ; Quality of service ; Quantitative research ; Rankings ; Research methods ; Risk analysis ; Risk factors ; Risk management ; Science & Technology ; Science & Technology - Other Topics ; Shipping industry ; Supply chains ; Sustainability ; Transportation services]]></subject><ispartof>Sustainability, 2021-08, Vol.13 (16), p.9248, Article 9248</ispartof><rights>COPYRIGHT 2021 MDPI AG</rights><rights>2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>4</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000689831400001</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c396t-db706367672a2d5b21d879dd1fe05cc7678dfb412531642ed01cc104f5d023213</citedby><cites>FETCH-LOGICAL-c396t-db706367672a2d5b21d879dd1fe05cc7678dfb412531642ed01cc104f5d023213</cites><orcidid>0000-0001-8043-8974</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,782,786,27931,27932,39264,39265</link.rule.ids></links><search><creatorcontrib>Abdulahi, Efrah Wozir</creatorcontrib><creatorcontrib>Fan, Luo</creatorcontrib><title>Exploring and Validating Container Operational Risk Scale in Container Shipping: The Case of Ethiopian Shipping and Logistics Service Enterprise</title><title>Sustainability</title><addtitle>SUSTAINABILITY-BASEL</addtitle><description>The risk associated with container shipping has been a major concern in recent decades. This study presents three major risk frameworks to systematically and inclusively explore and validate container operational risk scales based on risk factors derived from the extant literature. The three risk frameworks identified are risks related to information flow, risks related to physical flow, and risks related to payment flow. Each risk factor is grouped into sub-factors (dimensions), three factors for information flow, two factors for physical flow, and two factors for payment flow. The study uses Ethiopia as a case study and employed both qualitative and quantitative research methods. An interview survey was conducted to explore additional risk factors and validate the identified risk factors in container shipping, and a questionnaire survey was then accompanied to collect the relevant data. A pairwise comparison chart (PCC) was employed to rank the risk dimensions. The results showed that the container operational risk model is satisfactory by employing exploratory and confirmatory factor analysis. Furthermore, the PCC result indicates that risk of loss or damage of goods/assets, payment delay, and decrease in or total loss of payment were ranked first, second, and third, respectively, and consequently the most significant dimensions of the risk factors. This study provides a reliable and valid scale for measuring container operational risk in container shipping companies. It also unlocks future works for using the identified risk factors as guidelines for researchers and experts to design and develop container operational risk dimensions.</description><subject>Case studies</subject><subject>Containers</subject><subject>Decision support systems</subject><subject>Employees</subject><subject>Environmental Sciences</subject><subject>Environmental Sciences & Ecology</subject><subject>Environmental Studies</subject><subject>Factor analysis</subject><subject>Green & Sustainable Science & Technology</subject><subject>Information flow</subject><subject>Life Sciences & Biomedicine</subject><subject>Logistics</subject><subject>Logistics services</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Payments</subject><subject>Polls & surveys</subject><subject>Ports</subject><subject>Quality of service</subject><subject>Quantitative research</subject><subject>Rankings</subject><subject>Research methods</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Risk management</subject><subject>Science & Technology</subject><subject>Science & Technology - Other Topics</subject><subject>Shipping industry</subject><subject>Supply chains</subject><subject>Sustainability</subject><subject>Transportation services</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>GIZIO</sourceid><sourceid>HGBXW</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqNkk1vEzEQhlcIJKrSC7_AEidAKf7YT27VKkClSJWawtVy7HEyZWMvtreUf9GfXKdBbSNxwD54PH5eWzOvi-Ito6dCdPRTnJhgdcfL9kVxxGnDZoxW9OWz-HVxEuM1zUMI1rH6qLib346DD-jWRDlDfqgBjUq7be9dUuggkIsRQs55pwZyifEnWWo1AEH3jFlucByz7DO52gDpVQTiLZmnDfoRlXs8f3hl4dcYE-pIlhBuUAOZuwRhDBjhTfHKqiHCyd_1uPj-ZX7Vf5stLr6e92eLmRZdnWZm1dBa1E3dcMVNteLMtE1nDLNAK61zvjV2VTJe5ZaUHAxlWjNa2spQLjgTx8W7_b1j8L8miEle-ynkEqPkVcs7UXa1eKLWuWKJzvoUlN5i1PKsZaysaM2bTJ3-g8rTwBa1d2Ax5w8E7w8EmUlwm9ZqilGeLy8P2Q97VgcfYwArc5-2KvyRjMqd7_LJ9wy3e_g3rLyNGsFpeBRk3-u2awUrd1-A9ZgebO395FKWfvx_qbgHB3S-jg</recordid><startdate>20210801</startdate><enddate>20210801</enddate><creator>Abdulahi, Efrah Wozir</creator><creator>Fan, Luo</creator><general>Mdpi</general><general>MDPI AG</general><scope>17B</scope><scope>BLEPL</scope><scope>DTL</scope><scope>DVR</scope><scope>EGQ</scope><scope>GIZIO</scope><scope>HGBXW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><orcidid>https://orcid.org/0000-0001-8043-8974</orcidid></search><sort><creationdate>20210801</creationdate><title>Exploring and Validating Container Operational Risk Scale in Container Shipping: The Case of Ethiopian Shipping and Logistics Service Enterprise</title><author>Abdulahi, Efrah Wozir ; Fan, Luo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-db706367672a2d5b21d879dd1fe05cc7678dfb412531642ed01cc104f5d023213</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Case studies</topic><topic>Containers</topic><topic>Decision support systems</topic><topic>Employees</topic><topic>Environmental Sciences</topic><topic>Environmental Sciences & Ecology</topic><topic>Environmental Studies</topic><topic>Factor analysis</topic><topic>Green & Sustainable Science & Technology</topic><topic>Information flow</topic><topic>Life Sciences & Biomedicine</topic><topic>Logistics</topic><topic>Logistics services</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>Payments</topic><topic>Polls & surveys</topic><topic>Ports</topic><topic>Quality of service</topic><topic>Quantitative research</topic><topic>Rankings</topic><topic>Research methods</topic><topic>Risk analysis</topic><topic>Risk factors</topic><topic>Risk management</topic><topic>Science & Technology</topic><topic>Science & Technology - Other Topics</topic><topic>Shipping industry</topic><topic>Supply chains</topic><topic>Sustainability</topic><topic>Transportation services</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Abdulahi, Efrah Wozir</creatorcontrib><creatorcontrib>Fan, Luo</creatorcontrib><collection>Web of Knowledge</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Social Sciences Citation Index</collection><collection>Web of Science Primary (SCIE, SSCI & AHCI)</collection><collection>Web of Science - Social Sciences Citation Index – 2021</collection><collection>Web of Science - Science Citation Index Expanded - 2021</collection><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Abdulahi, Efrah Wozir</au><au>Fan, Luo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Exploring and Validating Container Operational Risk Scale in Container Shipping: The Case of Ethiopian Shipping and Logistics Service Enterprise</atitle><jtitle>Sustainability</jtitle><stitle>SUSTAINABILITY-BASEL</stitle><date>2021-08-01</date><risdate>2021</risdate><volume>13</volume><issue>16</issue><spage>9248</spage><pages>9248-</pages><artnum>9248</artnum><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>The risk associated with container shipping has been a major concern in recent decades. This study presents three major risk frameworks to systematically and inclusively explore and validate container operational risk scales based on risk factors derived from the extant literature. The three risk frameworks identified are risks related to information flow, risks related to physical flow, and risks related to payment flow. Each risk factor is grouped into sub-factors (dimensions), three factors for information flow, two factors for physical flow, and two factors for payment flow. The study uses Ethiopia as a case study and employed both qualitative and quantitative research methods. An interview survey was conducted to explore additional risk factors and validate the identified risk factors in container shipping, and a questionnaire survey was then accompanied to collect the relevant data. A pairwise comparison chart (PCC) was employed to rank the risk dimensions. The results showed that the container operational risk model is satisfactory by employing exploratory and confirmatory factor analysis. Furthermore, the PCC result indicates that risk of loss or damage of goods/assets, payment delay, and decrease in or total loss of payment were ranked first, second, and third, respectively, and consequently the most significant dimensions of the risk factors. This study provides a reliable and valid scale for measuring container operational risk in container shipping companies. It also unlocks future works for using the identified risk factors as guidelines for researchers and experts to design and develop container operational risk dimensions.</abstract><cop>BASEL</cop><pub>Mdpi</pub><doi>10.3390/su13169248</doi><tpages>21</tpages><orcidid>https://orcid.org/0000-0001-8043-8974</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Case studies Containers Decision support systems Employees Environmental Sciences Environmental Sciences & Ecology Environmental Studies Factor analysis Green & Sustainable Science & Technology Information flow Life Sciences & Biomedicine Logistics Logistics services Medical research Medicine, Experimental Payments Polls & surveys Ports Quality of service Quantitative research Rankings Research methods Risk analysis Risk factors Risk management Science & Technology Science & Technology - Other Topics Shipping industry Supply chains Sustainability Transportation services |
title | Exploring and Validating Container Operational Risk Scale in Container Shipping: The Case of Ethiopian Shipping and Logistics Service Enterprise |
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