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An Empirical Study

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Haramain Azzahra

Academic year: 2025

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Review Journal

Reviewer:

Haramain Azzahra (05022682226004)

Tittle A Framework for Smart Supply Chain Risk Assessment: An Empirical Study

Authors Khalid Khan; Abbas Keramati

Journal International Journal of Information Systems and Supply Chain Management

Volume 16 ; Issue 1

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Introduction

Smart supply chain risk events represent a daily challenge to supply chains because they can cause disruptions that potentially negatively impact supply chain operations. Supply chains must effectively respond to the risk events and recover quickly to stay ahead of competitors and reduce long-term damage to their businesses. Recently, there has been an increased focus on smart supply chain risk management due to the increasing use of smart technologies, which bring many comforts and risks.

SSCRM focuses on potential risks related to smart technologies and disruptions

in the supply chain and develops mitigation strategies to minimize the impact of

these disruptions and risks on smart supply chains.

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How does the risk management framework address risks in smart supply chains?

To what extent are companies using smart technologies in their supply chain systems?

What are the chances of these risks?

What are the impacts of these risks on the organization’s smart supply chain?

How can smart supply chain risk factors be categorized?

How can smart supply chain risks be mitigated?

RESEARCH QUESTIONS

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Proposed Risk

Assessment

Framework

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RESULTS

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RESULTS

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RESULTS

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STRENGTH

1. Journal articles contain very systematic and clearly cover all the information needed according to the title and purpose of the study

2. Journals are equipped with research questionnaires, this information disclosure is usually rarely found in other journals

3. Journal article is different in literature journal. First, these supply chain risk factors are not traditional, instead, they are related to the smart technologies currently prevailing in the industry. Second, thelatest trends in smart technologies, impact, and likelihood are determined based on the opinions of current professionals. Finally, the reduction method is applied to the survey data using exploratory factor analysis to recognize the most important and current smart supply chain risk factors.

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WEAKNESS

1. Journal conclusions are very long because research questions are answered through conclusions.

2. The journal does not contain years of research so that readers find it difficult to find when the research was carried out

3. Research journals state that there is a lack of interest in new technologies so future research should do research on the reasons

4. This research journal highlights the root causes of risk factors but does not provide a way to deal with the highest risk factors

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