Browsing by Author "Kumar, Ajay"

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Citation - WoS: 53
Citation - Scopus: 65
Industry 4.0 impacts on responsible environmental and societal management in the family business
(Elsevier Inc., 2021) Yigit Kazancoglu; Muruvvet Deniz Sezer; Yeşim Deniz Özkan-Özen; Sachin Kumar Kumar Mangla; Ajay Vinod Kumar; Sezer, Muruvvet Deniz; Kumar, Ajay; Ozkan-Ozen, Yesim Deniz; Kazancoglu, Yigit; Mangla, Sachin Kumar
Technological innovations are critical for businesses to sustain a competitive advantage in an increasingly competitive globalised environment. Amongst other advances Industry 4.0 (I4.0) technologies are having a growing impact on society, they have become a significant part of family business resources to create more sustainable environments and exploit new opportunities. However few studies have analysed the impacts of I4.0 on responsible environmental management and society in the context of a family business. To take a step toward filling this gap this study has employed a system dynamics model to evaluate the impacts of I4.0 on the clean production processes of family businesses in an emerging economy and to describe I4.0 practices on determinants of ethical behaviour and environmental management. Implementation is conducted in the packaging sector to analyse the impacts of I4.0 on CO2 emissions total packaging waste recovery and societal responsibilities on family businesses in Turkey. The results show that ethical business development contributes toward enhancing corporate social responsibility and environmental management systems in an I4.0 context. The findings can inform the efforts of managers governments and decision-makers to analyse and manage the societal and environmental impacts of their activities to create a more sustainable environment for family businesses. © 2021 Elsevier B.V. All rights reserved.
Citation - WoS: 67
Citation - Scopus: 88
Using emerging technologies to improve the sustainability and resilience of supply chains in a fuzzy environment in the context of COVID-19
(Springer, 2023) Ipek Kazançoǧlu; Melisa Ozbiltekin-Pala; Sachin Kumar Kumar Mangla; Ajay Kumar; Yigit Kazancoglu; Ozbiltekin-Pala, Melisa; Kumar, Ajay; Kazancoglu, Ipek; Mangla, Sachin Kumar; Kazancoglu, Yigit
In rapidly changing business conditions it has become extremely important to ensure the sustainability of supply chains and further improve the resiliency to those events such as COVID-19 that can cause unexpected disruptions in the value supply chain. Although globalized supply chains have already been criticized for lack of control over sustainability and resilience of supply chain operations these issues have become more prevalent in the uncertain environment driven by COVID-19. The use of emerging technologies such as blockchain Industry 4.0 analytics model and artificial intelligence driven methods are aimed at increasing the sustainability and resilience of supply chains especially in an uncertain environment. In this context this research aims to identify the problematic areas encountered in building a resilient and sustainable supply chain in the pre-COVID-19 era and during COVID-19 and to offer solutions to those problematic areas tackled by an appropriate emerging technology. This research has been contextualized in the automotive industry, this industry has a complex supply chain structure and is one of the sectors most affected by COVID-19. Based on the findings the most important problematic areas encountered in SSCM pre-COVID-19 are determined as supply chain traceability demand planning and production management as well as purchasing process planning based on cause and effect groups. The most important issues to be addressed during COVID-19 are top management support purchasing process planning and supply chain traceability respectively. © 2023 Elsevier B.V. All rights reserved.