K. Madhu Kishore Raghunath

Bio: K. Madhu Kishore Raghunath is an academic researcher from National Institute of Technology, Warangal. The author has contributed to research in topics: Corporate social responsibility & Supply chain risk management. The author has an hindex of 4, co-authored 9 publications receiving 37 citations.

Supply Chain Risk Management: An Invigorating Outlook

Abstract: This article describes how as mankind has been ever-evolving, so are their needs, growing in leaps and bounds. Risk management in supply chains have become a prerequisite as it involves a series of steps like procuring, processing, and distribution, where risk has to be managed. Given the advent of technology and transformation of supply chain management from traditional to modern methods, a lot has changed, and of course with ever-evolving technology, the organisations have become adept at handling risks associated with many factors within the organisation and outside the organisation. In this article, the authors will analyse the percentage impact of external and internal supply chain risk factors on various supply chain decisions, and also project various tools available to mitigate Supply chain risks. KeywORdS Information Technology, Risk Management Tools, Risk Management, Risk Mitigation, Supply Chain Risk Management

Impetus to Supply Chain Decisions with IT Tools: An Empirical Study

Abstract: Information Technology IT and its use in organizations and across the supply chain has become a determinant of competitive advantage for many corporations. This paper focuses on the usage of IT tools for Supply Chain Management SCM. It also highlights the contribution of IT in helping to restructure the entire distribution set up to achieve higher service levels and lower inventory and lower supply chain costs. In order to survive and beat the competition in today's competitive world, one has to manage the future. Managing the future means managing information. In order to deliver quality information to the decision-maker at the right time and in order to automate the process of data collection, collation and refinement, organizations have to make Information Technology an ally, harness its full potential and use it in the best possible way. Information Technology is beneficial for cooperation and integration within the stakeholders of the supply chain.

An Empirical Take on Qualitative and Quantitative Risk Factors

Abstract: Companies face a great challenge of balancing both risk and return on par. In today's volatile economic environment, success depends on strategically managing risks. All organisations accept risk i...

Effectiveness of Risk Assessment Models in Business Decisions: Reinforcing Knowledge

Abstract: Survival being the rationale for every organisation, there are infinite dynamics which contribute to every organisations growth and survival. Weighing in all the dynamics available, if organisations have to contemplate on the one which acts as catalyst for ultimate survival it is business decision making process. Risk is an inherent ailment that exacerbates organisational decision making ever since the dawn of industrialization, with their reach proliferating ever since. In the present article, the authors articulate the effectiveness of risk assessment models on key business decisions to testify how risk models operate in isolation and when combined together. Authors also analyse the significant effect risk models have on business decision, which serves as justification for organisational efficiency. KEywoRDS Enhanced Business Decisions. Risk Assessment Models, Risk, Risk-Based Decision Making

Information technology developments of logistics service providers in Hungary

Abstract: The objective of this research is to examine the role of sector-specific information technology (IT) developments and their significance in terms of the revenue and earnings before tax of Logistics...

A Neutrosophic AHP and TOPSIS Framework for Supply Chain Risk Assessment in Automotive Industry of Pakistan

Abstract: Risk is inherent in all parts of life and brings consequences, but when it specifically emerges in supply chains, it is susceptible. Therefore, this study aims at identifying and assessing supply chain risks and developing criteria for managing these risks. Supply chain (SC) risks consist of complex, uncertain, and vague information, but risk assessment techniques in the literature have been unable to handle complexity, uncertainty, and vagueness. Therefore, this study presents a holistic approach to supply chain risk management. In this paper, neutrosophic (N) theory is merged with the analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) to deal with complexity, uncertainty, and vagueness. Then the proposed methodology is practically implemented through a case study on the automotive industry. SC resilience, SC agility, and SC robustness were selected as criteria for managing supply chain risks and analyzed using N-AHP. Furthermore, seventeen risks were identified and assessed by using N-TOPSIS. Results suggest supply chain resilience is the most important criterion for managing supply chain risks. Moreover, supplier delivery delays, supplier quality problems, supplier communication failures, and forecasting errors are the most vulnerable risks that occur in supply chains of the automotive industry in Pakistan.