Browsing by Author "Jabeen, Fauzia"

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Citation - WoS: 10
Citation - Scopus: 16
A hybrid Bayesian approach for assessment of industry 4.0 technologies towards achieving decarbonization in manufacturing industry
(Elsevier Ltd, 2024) Devesh Kumar; Gunjan Soni; Fauzia Jabeen; Neeraj Kumar Tiwari; Gorkem Sariyer; Bharti Ramtiyal; Ramtiyal, Bharti; Jabeen, Fauzia; Soni, Gunjan; Kumar Tiwari, Neeraj; Sariyer, Gorkem; Kumar, Devesh; Tiwari, Neeraj Kumar
Since the 1st Industrial Revolution the Earth's atmosphere has warmed due to human activities like deforestation burning fossil fuels for energy generation and livestock raising. Without preventative measures the Earth's atmosphere would warm by 2 °C before the next Industrial Revolution. Thus it has become crucial to move toward a low-carbon economy. Reaching carbon neutrality means cutting our carbon footprint to zero. Innovative research methods and technologies can play a significant role in supporting the economy in its carbon reduction efforts. Industry 4.0 (I4.0) technologies hold great potential for decarbonizing the economy. However there is a need to explore and utilize this potential effectively. This study aims to address this by developing a methodology that identifies relevant attributes and critical measures from existing literature mapping them with I4.0 technologies. Using a MCDM approach each measure is prioritized based on importance. To better understand the interrelationships between these attributes and I4.0 technologies the Bayesian Network (BN) method is employed. This approach enables the exploration of dependencies and influences among variables. By implementing this four-stage strategy economies can make informed decisions and prioritize actions contributing to carbon neutrality while leveraging the benefits of I4.0 technologies. This approach offers a comprehensive framework for guiding economies on their path towards carbon neutrality considering the potential of I4.0 technologies and the importance of various attributes identified through literature. © 2024 Elsevier B.V. All rights reserved.
Citation - WoS: 137
Citation - Scopus: 169
Role of flexibility- agility and responsiveness for sustainable supply chain resilience during COVID-19
(ELSEVIER SCI LTD, 2022) Ipek Kazancoglu; Melisa Ozbiltekin-Pala; Sachin Kumar Mangla; Yigit Kazancoglu; Fauzia Jabeen; Ozbiltekin-Pala, Melisa; Jabeen, Fauzia; Kumar Mangla, Sachin; Kazancoglu, Ipek; Mangla, Sachin Kumar; Kazancoglu, Yigit
Supply chains are gradually transforming into more global structures. To ensure sustainability and resilience in face of the problems that arise in globalizing supply chains it is becoming an important issue today, a supply chain must be flexible agile and responsive. Therefore the aim of the study is to focus on resilience in sustainable global supply chains (GSC) to avoid disruptions caused by pandemics such as COVID-19, it is also conducted research on responsiveness of sustainable global supply chains during COVID-19. In this study dynamic capability perspective and contingency theory are used to conceptualize theoretical models for COVID-19. Moreover a partial least squares (PLS) model is used to analyse the research hypotheses with 200 responses collected from companies which have complex supply chain structures. As a novel result the relationship between flexibility agility and responsiveness of global supply chain is revealed. Supply chain agility is found to be directly affected by supply chain flexibility. Moreover supply chain flexibility and supply chain agility directly affect the responsiveness of the global supply chain. In addition the agility of the supply chain acts as a partial mediator variable in the effect of supply chain flexibility on responsiveness.
Citation - WoS: 3
Citation - Scopus: 2
Supply chain socially sustainability practices and their impact on supply chain performance: a study from the Indian automobile industry
(SPRINGER, 2024) Satyendra Kumar Sharma; Sajeev Abraham George; Praveen Ranjan Srivastava; Fauzia Jabeen; Cisem Lafci; Sharma, Satyendra Kumar; Jabeen, Fauzia; George, Sajeev Abraham; Lafci, Cisem; Srivastava, Praveen Ranjan
While sustainability has been a well-researched area in academic literature the performance impact of its social dimensions remains largely unexplored especially in the context of emerging economies. The aim of this research paper is to test and validate the dimensions of supply chain social sustainability (SCSS) that firms should focus on and to examine the relationships between these practices and supply chain performance both short term and long term. This paper adopts a questionnaire-based survey research approach in the context of Indian automobile industry. Empirical validation of the conceptual model developed was carried out using Confirmatory Factor Analysis. Multiple regression was used to test the relationships between SCSS practices and supply chain performance. This study finds empirical support to the proposition that a firm's initiatives on SCSS dimensions of safety labour rights ethical practices and welfare initiatives for people and their communities provide performance benefits to them and to their partners in the supply chains. Regression analysis revealed that safety (0.339) and labour rights (0.601) contribute to both short term and long term performance for the supply chain. While ethical practices have a positive impact on short term performance welfare initiatives only provide long term qualitative benefits. SCSS is in evolving concept and adopting the right mix of factors can help firms to achieve sustainability in all three dimensions of the triple-bottom-line framework (People Planet and Profit).