4.C: Determine whether article used ten steps outlined in the chapter by Cellini and Kee.

Determine whether the article used ten steps outlined in the chapter by Cellini and KeeStudent’s Name
Institutional Affiliation
Determine whether the article used ten steps outlined in the chapter by Cellini and KeeThe first four steps in the cost-effective and cost-benefit analysis have been met in the article by ADDIN CSL_CITATION {“citationItems”:[{“id”:”ITEM-1″,”itemData”:{“DOI”:”10.1016/j.ssci.2015.12.025″,”ISBN”:”0925-7535″,”ISSN”:”18791042″,”abstract”:”Continuation of organizations’ key processes in the aftermath of disasters plays an important role in the different businesses. The business continuity management (BCM) is a new concept which has attracted a lot of attention in the last decade and the most renowned organizations in the world use BCM as an effective precautionary approach to mitigate the consequences of disasters and making them resilient against disruptions. Alongside BCM, insuring and outsourcing are two other ways for coping with disasters. This study presents a novel framework for analyzing these three strategies (i.e. BCM, outsourcing and insuring) by which the best one can be selected according to the organization’s characteristics and relevant data. Furthermore, the study aims to elaborate on the interrelationships between the organization’s desirable continuity level in terms of recovery time objective (RTO) and recovery point objective (RPO) indicators, and the chosen approach to response disastrous situations. For this, all of the cost and benefits of each approach are considered and based on the type of organization for which a cost-benefit analysis is done.

Economic factors such as the current and the future values as well as inflation rate are taken into account to select the best possible response strategy. As there is inherent uncertainty in input data, this study proposes a fuzzy based method to capture the impreciseness of data in the form of triangular fuzzy numbers. The proposed methodology is implemented on a numerical example to show its applicability.”,”author”:[{“dropping-particle”:””,”family”:”Rabbani”,”given”:”M.”,”non-dropping-particle”:””,”parse-names”:false,”suffix”:””},{“dropping-particle”:””,”family”:”Soufi”,”given”:”H. Rezaei”,”non-dropping-particle”:””,”parse-names”:false,”suffix”:””},{“dropping-particle”:””,”family”:”Torabi”,”given”:”S. A.”,”non-dropping-particle”:””,”parse-names”:false,”suffix”:””}],”container-title”:”Safety Science”,”id”:”ITEM-1″,”issued”:{“date-parts”:[[“2016″]]},”page”:”9-22″,”publisher”:”Elsevier Ltd”,”title”:”Developing a two-step fuzzy cost-benefit analysis for strategies to continuity management and disaster recovery”,”type”:”article-journal”,”volume”:”85″},”uris”:[“http://www.mendeley.com/documents/?uuid=06a91205-0ea1-4d83-8231-00ec628179b3″]}],”mendeley”:{“formattedCitation”:”(Rabbani, Soufi, & Torabi, 2016)”,”manualFormatting”:”Rabbani, Soufi, and Torabi (2016)”,”plainTextFormattedCitation”:”(Rabbani, Soufi, & Torabi, 2016)”,”previouslyFormattedCitation”:”(Rabbani, Soufi, & Torabi, 2016)”},”properties”:{“noteIndex”:0},”schema”:”https://github.com/citation-style-language/schema/raw/master/csl-citation.json”}Rabbani, Soufi, and Torabi (2016). For example, ADDIN CSL_CITATION {“citationItems”:[{“id”:”ITEM-1″,”itemData”:{“DOI”:”10.1016/j.ssci.2015.12.025″,”ISBN”:”0925-7535″,”ISSN”:”18791042″,”abstract”:”Continuation of organizations’ key processes in the aftermath of disasters plays an important role in the different businesses. The business continuity management (BCM) is a new concept which has attracted a lot of attention in the last decade and the most renowned organizations in the world use BCM as an effective precautionary approach to mitigate the consequences of disasters and making them resilient against disruptions. Alongside BCM, insuring and outsourcing are two other ways for coping with disasters. This study presents a novel framework for analyzing these three strategies (i.e. BCM, outsourcing and insuring) by which the best one can be selected according to the organization’s characteristics and relevant data. Furthermore, the study aims to elaborate on the interrelationships between the organization’s desirable continuity level in terms of recovery time objective (RTO) and recovery point objective (RPO) indicators, and the chosen approach to response disastrous situations. For this, all of the cost and benefits of each approach are considered and based on the type of organization for which a cost-benefit analysis is done. Economic factors such as the current and the future values as well as inflation rate are taken into account to select the best possible response strategy. As there is inherent uncertainty in input data, this study proposes a fuzzy based method to capture the impreciseness of data in the form of triangular fuzzy numbers. The proposed methodology is implemented on a numerical example to show its applicability.”,”author”:[{“dropping-particle”:””,”family”:”Rabbani”,”given”:”M.”,”non-dropping-particle”:””,”parse-names”:false,”suffix”:””},{“dropping-particle”:””,”family”:”Soufi”,”given”:”H. Rezaei”,”non-dropping-particle”:””,”parse-names”:false,”suffix”:””},{“dropping-particle”:””,”family”:”Torabi”,”given”:”S. A.”,”non-dropping-particle”:””,”parse-names”:false,”suffix”:””}],”container-title”:”Safety Science”,”id”:”ITEM-1″,”issued”:{“date-parts”:[[“2016″]]},”page”:”9-22″,”publisher”:”Elsevier Ltd”,”title”:”Developing a two-step fuzzy cost-benefit analysis for strategies to continuity management and disaster recovery”,”type”:”article-journal”,”volume”:”85″},”uris”:[“http://www.mendeley.com/documents/?uuid=06a91205-0ea1-4d83-8231-00ec628179b3″]}],”mendeley”:{“formattedCitation”:”(Rabbani, Soufi, & Torabi, 2016)”,”manualFormatting”:”Rabbani, Soufi, and Torabi (2016)”,”plainTextFormattedCitation”:”(Rabbani, Soufi, & Torabi, 2016)”,”previouslyFormattedCitation”:”(Rabbani, Soufi, & Torabi, 2016)”},”properties”:{“noteIndex”:0},”schema”:”https://github.com/citation-style-language/schema/raw/master/csl-citation.json”}Rabbani, Soufi, and Torabi (2016) developed the application of business continuity management (BCM) as an approach to managing disasters, meeting the first step. The article was also concerned with the continuation of the key processes of an organization after the disasters as an important role in business management. Additionally, the article showed that BCM is an effective way of mitigating disasters implying that the third step was fulfilled. Moreover, it was shown in the article that product outsourcing can be used as a factor of improving the competitiveness of an organization. Therefore, the first four steps have been used in the article. However, ADDIN CSL_CITATION {“citationItems”:[{“id”:”ITEM-1″,”itemData”:{“DOI”:”10.1016/j.ssci.2015.12.025″,”ISBN”:”0925-7535″,”ISSN”:”18791042″,”abstract”:”Continuation of organizations’ key processes in the aftermath of disasters plays an important role in the different businesses. The business continuity management (BCM) is a new concept which has attracted a lot of attention in the last decade and the most renowned organizations in the world use BCM as an effective precautionary approach to mitigate the consequences of disasters and making them resilient against disruptions. Alongside BCM, insuring and outsourcing are two other ways for coping with disasters. This study presents a novel framework for analyzing these three strategies (i.e. BCM, outsourcing and insuring) by which the best one can be selected according to the organization’s characteristics and relevant data. Furthermore, the study aims to elaborate on the interrelationships between the organization’s desirable continuity level in terms of recovery time objective (RTO) and recovery point objective (RPO) indicators, and the chosen approach to response disastrous situations. For this, all of the cost and benefits of each approach are considered and based on the type of organization for which a cost-benefit analysis is done. Economic factors such as the current and the future values as well as inflation rate are taken into account to select the best possible response strategy. As there is inherent uncertainty in input data, this study proposes a fuzzy based method to capture the impreciseness of data in the form of triangular fuzzy numbers. The proposed methodology is implemented on a numerical example to show its applicability.”,”author”:[{“dropping-particle”:””,”family”:”Rabbani”,”given”:”M.”,”non-dropping-particle”:””,”parse-names”:false,”suffix”:””},{“dropping-particle”:””,”family”:”Soufi”,”given”:”H. Rezaei”,”non-dropping-particle”:””,”parse-names”:false,”suffix”:””},{“dropping-particle”:””,”family”:”Torabi”,”given”:”S. A.”,”non-dropping-particle”:””,”parse-names”:false,”suffix”:””}],”container-title”:”Safety Science”,”id”:”ITEM-1″,”issued”:{“date-parts”:[[“2016″]]},”page”:”9-22″,”publisher”:”Elsevier Ltd”,”title”:”Developing a two-step fuzzy cost-benefit analysis for strategies to continuity management and disaster recovery”,”type”:”article-journal”,”volume”:”85″},”uris”:[“http://www.mendeley.com/documents/?uuid=06a91205-0ea1-4d83-8231-00ec628179b3″]}],”mendeley”:{“formattedCitation”:”(Rabbani et al., 2016)”,”manualFormatting”:”Rabbani et al. (2016)”,”plainTextFormattedCitation”:”(Rabbani et al., 2016)”,”previouslyFormattedCitation”:”(Rabbani et al., 2016)”},”properties”:{“noteIndex”:0},”schema”:”https://github.com/citation-style-language/schema/raw/master/csl-citation.json”}Rabbani et al. (2016) failed to monetize the costs implying that the fifth step was not used.
The sixth to tenth steps have also been adequately met in the article. For instance, ADDIN CSL_CITATION {“citationItems”:[{“id”:”ITEM-1″,”itemData”:{“DOI”:”10.1016/j.ssci.2015.12.025″,”ISBN”:”0925-7535″,”ISSN”:”18791042″,”abstract”:”Continuation of organizations’ key processes in the aftermath of disasters plays an important role in the different businesses. The business continuity management (BCM) is a new concept which has attracted a lot of attention in the last decade and the most renowned organizations in the world use BCM as an effective precautionary approach to mitigate the consequences of disasters and making them resilient against disruptions. Alongside BCM, insuring and outsourcing are two other ways for coping with disasters. This study presents a novel framework for analyzing these three strategies (i.e. BCM, outsourcing and insuring) by which the best one can be selected according to the organization’s characteristics and relevant data. Furthermore, the study aims to elaborate on the interrelationships between the organization’s desirable continuity level in terms of recovery time objective (RTO) and recovery point objective (RPO) indicators, and the chosen approach to response disastrous situations. For this, all of the cost and benefits of each approach are considered and based on the type of organization for which a cost-benefit analysis is done. Economic factors such as the current and the future values as well as inflation rate are taken into account to select the best possible response strategy. As there is inherent uncertainty in input data, this study proposes a fuzzy based method to capture the impreciseness of data in the form of triangular fuzzy numbers. The proposed methodology is implemented on a numerical example to show its applicability.”,”author”:[{“dropping-particle”:””,”family”:”Rabbani”,”given”:”M.”,”non-dropping-particle”:””,”parse-names”:false,”suffix”:””},{“dropping-particle”:””,”family”:”Soufi”,”given”:”H. Rezaei”,”non-dropping-particle”:””,”parse-names”:false,”suffix”:””},{“dropping-particle”:””,”family”:”Torabi”,”given”:”S. A.”,”non-dropping-particle”:””,”parse-names”:false,”suffix”:””}],”container-title”:”Safety Science”,”id”:”ITEM-1″,”issued”:{“date-parts”:[[“2016″]]},”page”:”9-22″,”publisher”:”Elsevier Ltd”,”title”:”Developing a two-step fuzzy cost-benefit analysis for strategies to continuity management and disaster recovery”,”type”:”article-journal”,”volume”:”85″},”uris”:[“http://www.mendeley.com/documents/?uuid=06a91205-0ea1-4d83-8231-00ec628179b3″]}],”mendeley”:{“formattedCitation”:”(Rabbani et al., 2016)”,”manualFormatting”:”Rabbani et al. (2016)”,”plainTextFormattedCitation”:”(Rabbani et al., 2016)”,”previouslyFormattedCitation”:”(Rabbani et al., 2016)”},”properties”:{“noteIndex”:0},”schema”:”https://github.com/citation-style-language/schema/raw/master/csl-citation.json”}Rabbani et al. (2016) showed in the article that BCM builds resilience in organizations implying that the benefits of the program can be quantified. The article also showed confirmed that BCM program can minimize the damages of disasters in an organization through discounted cash flow. The article has also indicated the net present value by showing how organizations can establish objectives for recovery time and points.
Additionally, the authors indicated that charts can be used for sensitivity analysis to see how the organization is making progress towards its recovery. Finally, the author proposed and recommended that business continuity needs to be considered in any proposal that is made in the outsourcing process of products. It can, therefore, be concluded that the article by ADDIN CSL_CITATION {“citationItems”:[{“id”:”ITEM-1″,”itemData”:{“DOI”:”10.1016/j.ssci.2015.12.025″,”ISBN”:”0925-7535″,”ISSN”:”18791042″,”abstract”:”Continuation of organizations’ key processes in the aftermath of disasters plays an important role in the different businesses. The business continuity management (BCM) is a new concept which has attracted a lot of attention in the last decade and the most renowned organizations in the world use BCM as an effective precautionary approach to mitigate the consequences of disasters and making them resilient against disruptions. Alongside BCM, insuring and outsourcing are two other ways for coping with disasters. This study presents a novel framework for analyzing these three strategies (i.e. BCM, outsourcing and insuring) by which the best one can be selected according to the organization’s characteristics and relevant data. Furthermore, the study aims to elaborate on the interrelationships between the organization’s desirable continuity level in terms of recovery time objective (RTO) and recovery point objective (RPO) indicators, and the chosen approach to response disastrous situations. For this, all of the cost and benefits of each approach are considered and based on the type of organization for which a cost-benefit analysis is done. Economic factors such as the current and the future values as well as inflation rate are taken into account to select the best possible response strategy. As there is inherent uncertainty in input data, this study proposes a fuzzy based method to capture the impreciseness of data in the form of triangular fuzzy numbers. The proposed methodology is implemented on a numerical example to show its applicability.”,”author”:[{“dropping-particle”:””,”family”:”Rabbani”,”given”:”M.”,”non-dropping-particle”:””,”parse-names”:false,”suffix”:””},{“dropping-particle”:””,”family”:”Soufi”,”given”:”H. Rezaei”,”non-dropping-particle”:””,”parse-names”:false,”suffix”:””},{“dropping-particle”:””,”family”:”Torabi”,”given”:”S. A.”,”non-dropping-particle”:””,”parse-names”:false,”suffix”:””}],”container-title”:”Safety Science”,”id”:”ITEM-1″,”issued”:{“date-parts”:[[“2016″]]},”page”:”9-22″,”publisher”:”Elsevier Ltd”,”title”:”Developing a two-step fuzzy cost-benefit analysis for strategies to continuity management and disaster recovery”,”type”:”article-journal”,”volume”:”85″},”uris”:[“http://www.mendeley.com/documents/?uuid=06a91205-0ea1-4d83-8231-00ec628179b3″]}],”mendeley”:{“formattedCitation”:”(Rabbani et al., 2016)”,”manualFormatting”:”Rabbani et al. (2016)”,”plainTextFormattedCitation”:”(Rabbani et al., 2016)”,”previouslyFormattedCitation”:”(Rabbani et al., 2016)”},”properties”:{“noteIndex”:0},”schema”:”https://github.com/citation-style-language/schema/raw/master/csl-citation.json”}Rabbani et al. (2016) has been able to follow most of the steps in the cost-effective and cost-benefit analysis except the fifth step. References
ADDIN Mendeley Bibliography CSL_BIBLIOGRAPHY Cellini, & Kee. (2010). Cost Effectiveness and Cost-Benefit Analysis. In Handbook of Practical Program Evaluation (pp. 493–598).
Rabbani, M., Soufi, H. R., & Torabi, S. A. (2016). Developing a two-step fuzzy cost-benefit analysis for strategies to continuity management and disaster recovery. Safety Science, 85, 9–22. https://doi.org/10.1016/j.ssci.2015.12.025