Prioritization of Reputation Loss Factors Imposed By Pipeline Failure Subject to Corrosion

Libriati Zardasti, Norhazilan Md. Noor, Nordin Yahaya

Abstract


Reputation loss of a pipeline failure subject to corrosion is commonly neglected due to its qualitative nature. However, case studies found that perceptions of the stakeholders are prone to affect pipeline owner’s long-term reputation. Identifying the influence factors is insufficient to assist the owner to respond if pipeline failure occurs. Thus, this article endeavors to prioritize the influential reputation loss factors by interviewing six experts of pipeline integrity management personnel. The analytic hierarchy process multi-criteria decision making method was selected to help the prioritization process. Result shows that the most influenced factor is the loss of customer confidence (B1) and employee(s) caused accident (C9) ranked the least. The effort to quantify reputation loss can be substituted by prioritizing them according to stakeholders’ preferences as an initial step to monetarily quantify these factors in future. Thus, a comprehensive pipeline risk assessment and the pipeline integrity management can be achieved and simultaneously improve the company’s annual profit margin.


Keywords


reputation loss; pipeline; consequence assessment; analytic hierarchy process (AHP)

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References


W. K. Muhlbauer, “Pipeline Risk Management Manual, Third Edition,” Gulf Publishing Company, Houston, Texas, 2004, pp. 10–55.

N. Yahaya, N. M. Noor, S. R. Othman, K.S. Lim, M.M. Din, “New technique for studying soil-corrosion of underground pipeline,” J. Appl. Sci., vol. 11, no. 9, pp. 1510-1518, 2011.

N. Yahaya, N. M. Noor, M. M. Din, S. H. M. Nor,

“Prediction of CO2 Corrosion growth in submarine pipelines,” Malays. J. Civ. Eng., vol. 21, no. 1, pp. 69-81, 2009.

F. I. Khan, M. Haddara, “Risk-Based Maintenance (RBM): A new approach for process plant inspection and maintenance,” Process Saf. Prog., vol. 23, no. 4, pp. 252-265, 2004.

N. S. Arunraj, J. Maiti, “A methodology for overall consequence modeling in chemical industry,” J. Hazard. Mater., vol. 169, pp. 556-574, 2009.

R. L. M. Dunbar, J. Schwalbach, “Corporate reputation and performance in Germany,” Corp. Reputation Rev., vol. 3, no. 2, pp. 115-123, 2000

C. d. Bie, “Exploring Ways to Model Reputation Loss,” Erasmus University Rotterdam, Netherlands, 2006.

P. J. Firestein, “Reputation Assessment: The OPEN Perception StudyTM,” Global Strategic Communication, Inc., New York, 2004

C.J. Fombrun, “Reputation: Realizing value from the corporate image,” Harvard Business School Press, United States of America, 1996.

K. Cravens, E. G. Oliver, S. Ramamoorthi, “The reputation index: Measuring and managing corporate reputation,” Eur. Manag. J., vol. 21, no. 2, pp. 201-212, 2003.

K. Money, C. Hillenbrand, “Beyond reputation measurement: Placing reputation within a model of value creation by integrating existing measures into a theoretical framework,” J. Gen. Manag., vol. 32, no. 1, pp. 1-12, 2006.

L. Zardasti, N. Yahaya, A. Valipour, A. S. A. Rashid, N. M. Noor, “Review on the identification of reputation loss indicators in an onshore pipeline explosion event, J. Loss Prev. Proc., vol. 48, pp. 71-86, 2017.

L. Zardasti, N.M. Hanafiah, N.M. Noor, N. Yahaya and A.S.A. Rashid, “The consequence assessment of gas pipeline failure due to corrosion,” Solid State Phenom, vo. 227, pp. 225-228, 2015.

L. Zardasti, N.M. Hanafiah, N.M. Noor and N. Yahaya, “Prioritization of reputation loss factor subject to pipeline explosion,” Asian J. Sci. Res., vol.8, no.4 pp. 442-453, 2015.

Z. Chen, “A cybernetic model for analytic network process,” 9th Int. Conf. Machine Learning and Cybernetics, Qingdao, China, pp. 1914–1919, 2010.

J. A. Gliem and R. R. Gliem, “Calculating, interpreting, and reporting Cronbach’s alpha reliability coefficient for Likert-type scales,” Midwest Research-to-Practice Conf. Adult, Continuing, and Community Education, Columbus, Ohio, pp. 82–88, 2003

T. L. Saaty, “Decision making with the analytic hierarchy process,” Int. J. Serv. Sci, vol. 1, no. 1, pp. 83-98. 2008

Y. Zhang, “A study of corporate reputation's influence on customer loyalty based on PLS-SEM model,” Int. Bus. Res., vol. 2, pp. 28-35, 2004

F. I. Khan and S. A. Abbasi, “Major accidents in process industries and an analysis of causes and consequences,” J. Loss Prev. Proc., vol. 12, pp. 361-378, 1999.




DOI: http://dx.doi.org/10.12962/j23546026.y2017i6.3290

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