A case report of IPA with chronic mass calcification in a neutropenic patient

Raveendran, Sudheesh; Lu, Zhiyan; Zhang, Zaipeng; Wang, Mingyue; Sah, Krishna Kumar

doi:10.1016/j.jrid.2017.04.002

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…IPA has been widely used to study customer satisfaction in service industries such as travel and tourism (Ramakrishnan and Usha 2016;Boley et al, 2017), education (Wang et al, 2016;McLeay et al, 2017), hospital (Chen and Lin, 2013;Padma et al, 2014;Raveendran et al, 2017), supply chain practices (Ramanathan and Gunasekaran, 2014;Islam et al, 2018). Azzopardi and Nash (2013) critically analyzed IPA and inferred that the analysis is most suited for identification and mitigation of validity concerns.…”

Section: Supply Chain Risk Assessment Modelsmentioning

confidence: 99%

Strategic action grids: a study on supply chain risk management in manufacturing industries in India

Shenoi¹,

Dath

Rajendran

et al. 2018

BIJ

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Purpose The purpose of this paper is to provide strategic recommendations to supply chain managers of Indian manufacturing industries for a robust supply chain related to risk management by original equipment manufacturers (OEMs) and suppliers in manufacturing industries to ensure a robust supply chain risk management (SCRM). Design/methodology/approach Importance-performance analysis (IPA) is utilized to identify and provide strategic recommendations to manufacturing industries for improving their supply chain performance by attaching due importance to risk constructs and appropriately choosing mitigation strategies. Findings The investigation using the strategic action grids reveals that most of the means of risks are near the point of intersection of the grand means of the risk constructs and their impact on the supply chain, indicating that all the risks have the equal likelihood of occurrence. The mean importance of risk monitoring, risk avoidance (RA) and risk sharing surpass the mean performance for both OEMs and suppliers. Research limitations/implications The study is executed with following limitations: the study assumes that the manufacturing industries across different sectors perceive similar risk. The sectors considered are automotive, heavy engineering, general engineering and home appliances. The Southern States of India are considered because of the dominant presence of many industries, especially automotive industries. However, it should be noted that these States form the manufacturing hubs where the lead organizations are functioning along with their major suppliers. Practical implications By understanding the importance of SCRM dimensions and utilization of these dimensions, firms can mitigate the impact of risk on the supply chain. The detailed study of SCRM strategies highlights the importance attached to risk factors, mitigation strategies, and top management commitment. By the implementation of SCRM strategies, supply chain managers can improve the firm’s performance. Originality/value The study involves empirically validated data on SCRM dimensions. The IPA is performed on the SCRM dimensions to investigate the importance attached to the factors of the dimensions and their performance.

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