ABSTRACT
The COVID-19 global pandemic, over the last year and a half, has managed to create massive disruptions in global supply chains and exposed their vulnerabilities, thereby reemphasizing the importance of resiliency. The current study aims to identify and prioritize, through the quantitative decision-making technique of Interpretive Structural Modelling (ISM), a set of barriers to resiliency for the pharmaceutical supply chain in India. The rationale behind choosing the Indian pharmaceutical supply chain was that the pharmaceutical sector in India supplies over half of the global demand for vaccines and generic drugs, and the trajectory of growth is indicated around US$100 billion by the year 2025, along with exporting pharmaceutical products to nearly 200 destination countries. The findings of the current study are expected to aid the decision-makers in evaluating the relative criticality and the interrelationship between the potential (and critical) barriers to supply chain resiliency, and in turn to develop strategic plans. This, in turn, can help to combat unforeseen supply chain disruptors such as COVID-19. This methodology and the findings of the study can be generalized for other supply chains. © 2023 K.J. Somaiya Institute of Management Studies and Research.
ABSTRACT
The way an organization operates has a pattern to it. A knowledge-based way of understanding these patterns and implementing according to them retains the competitive advantage of the organizations. Thus, identifying factors is important because, if successful, it results in shared intellectual capital. Changing the core of the pattern upon which the organization works creates several problems in retaining an organization's competitiveness. This research focuses on identifying the elements which have a significant influence on an organization's operations due to the remote working of employees during situations like the COVID-19 pandemic. Further, the relationships of factors among each other have been explored from the available research. Based on the study of various organizations it has been found that not much work has been done to identify such factors even though several organizations have suddenly opted for their workforce to work remotely due to the COVID-19 pandemic. This has resulted in lost productivity and opportunities, organizational dis-balances, and a slower rate of development. The generated model may help organizations to understand the weak notes of remote working and implement structural changes accordingly to improve the productivity in remote working and tackle the productivity and opportunity loss due to remote workforce. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
The COVID-19 pandemic and trade frictions impact the continuity of supply chain (SC) operations. In the volatile environment, big data analytics (BDA), a key technology for storing data and predictive analytics, has become an important tool for mitigating SC vulnerability. Based on the literature review, this paper identifies six influencing factors and four vulnerability drivers for mitigating vulnerability, and employs Interpretive Structural Modeling (ISM) and Cross-Impact Matrix Multiplication Applied to a Classification (MICMAC) to explore the influence pathways that BDA mitigates SC vulnerability. The findings show that BDA can influence knowledge acquisition and strategy formulation by improving the forecasting capability of enterprises, which facilitates strategy implementation and ultimately mitigates vulnerability. Furthermore, with the support of BDA, resource redundancy addresses vulnerability from supply-side, higher production level and efficiency reduce vulnerability from demand-side, and rational SC design alleviates vulnerability from operation-side. © 2022 IEEE.
ABSTRACT
The way an organization operates has a pattern to it. A knowledge-based way of understanding these patterns and implementing according to them retains the competitive advantage of the organizations. Thus, identifying factors is important because, if successful, it results in shared intellectual capital. Changing the core of the pattern upon which the organization works creates several problems in retaining an organization's competitiveness. This research focuses on identifying the elements which have a significant influence on an organization's operations due to the remote working of employees during situations like the COVID-19 pandemic. Further, the relationships of factors among each other have been explored from the available research. Based on the study of various organizations it has been found that not much work has been done to identify such factors even though several organizations have suddenly opted for their workforce to work remotely due to the COVID-19 pandemic. This has resulted in lost productivity and opportunities, organizational dis-balances, and a slower rate of development. The generated model may help organizations to understand the weak notes of remote working and implement structural changes accordingly to improve the productivity in remote working and tackle the productivity and opportunity loss due to remote workforce. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
Purpose: Global construction has been affected by COVID-19 unprecedently. The construction sectors in the least developed countries are considered as vulnerable, but the covid made the countries experience the worst situation ever. To minimize the losses by effective measures, there needs to assess the COVID-19 impacts on the construction sector. So, the aim of this study is to investigate the most critical impacts of COVID-19 on construction in the least developed countries by considering the case study of Bangladesh. Design/methodology/approach: The authors adopted multistep research methods, including (1) literature analysis and discussion with experts to establish a comprehensive list of COVID-19 impacts;(2) through a questionnaire survey, data were collected from 217 construction professionals by email, Google Form and Skype for quantifying the significance of covid impacts;(3) reliability of the survey checked by the Cronbach Alpha test;(4) Relative Importance Index (RII) to determine the ranks of the impacts based on their significance;(5) Interpretive Structural Model (ISM) to explore the corelations and the hierarchical structure;and (6) cross-impact matrix multiplication applied to classification (MICMAC) analysis to classify the COVID-19 impacts. Findings: The study identified a total of 18 COVID-19 impacts on the construction sector. Among them, the job cuts, schedule delays, project suspension, cost overrun and effects on mental health are more influential and significant than others. Further, this study found that unpaid leave and job cuts are the two most fundamental impacts which influence other succeeding significant impacts. And ultimately all the impacts lead to hampering the national economy and development. Finally, MICMAC analysis suggested that unpaid leave and job cuts should be addressed first to resolve and effects on the national economy and development should be later. Research limitations/implications: This study does not consider all the COVID-19 impacts due to the relevant context and simplicity of the ISM method. Also, the respondent's attitude might be slightly different during the post-mass vaccination period. Practical implications: This study will help the company's management, employees and government to develop effective strategies to understand the insight of their interrelations and ultimately overcome the identified covid effects. This will must contribute to the industry, its employees, the government and society by ensuring the national economy and development, construction operations, investment, employment and social security. Originality/value: This study will contribute to the knowledge body (practitioners and researchers) by providing the list of significant covid impacts and insight into their interrelations for further deep analysis of the pandemic effects. This will also help the authorities and stakeholders in developing policies and strategies to minimize or avoid these effects and avoid future consequences due to any pandemic like covid. © 2022, Emerald Publishing Limited.
ABSTRACT
During the new COVID-19 outbreak, companies are looking to sourcing leaders to assist them diversify their supply base and prepare for a number of situations. In recent days, the role of emerging paradigms, including lean, agile, resilient, green, and sustainability (LARGS) in highly competitive supply chains, has been gaining momentum. However, there is no research on the LARGS paradigm for sustainable supplier selection in the literature. The aim of this paper is to identify important criteria for supplier selection in the LARGS paradigm and to develop the hierarchical relationship between the criteria. This research has identified 22 key criteria for supplier selection in the LARGS paradigm. Data were collected from 12 experts and analysed by interpretive structural modeling (ISM). From the ISM model, it is observed that geographic location is placed at the bottom of the hierarchy, showing high driving power and the most important criteria while selecting any supplier. Lead time also indicates high driving power and organizations must focus on the suppliers' lead time to improve product performance and introduce new products faster into the markets. The findings will help the practitioners and policymakers to formulate supply chain robustness and resilience strategies to diminish supply chain risks imposed by the COVID-19 pandemic. The presented model can be assessed as a strategic tool to select a supplier who considers lean, agile, resilient, green, and sustainable criteria simultaneously to increase supply chain efficiency and effectiveness. The study is first of its kind to identify supplier selection criteria in LARGS paradigm and develop hierarchical relationships between them using ISM approach.
ABSTRACT
Supply chain processes (SCM) encompass a wide spectrum of functions that facilitate the flow of a raw material till its finished product stage. The most vital aim of SCM lies in establishing a link between all the facilities of a company such as manufacturing, transporting, channelizing and delivering goods and enhancing business processes by making them more flexible, more agile and, consequently, more competitive. This unpleasant coronavirus pandemic has adversely affected almost all supply chain networks around the globe and has highlighted the shortcomings of the existing supply chains. This research study makes an attempt to find the disruptions in supply chain caused by COVID-19 by using Interpretive Structural Modeling (ISM) and provides a few solutions for the same. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.