The integrated effect of Big Data Analytics, Lean Six Sigma and Green Manufacturing on the environmental performance of manufacturing companies: The case of North Africa

Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation

“…Through two waves of data collection over four weeks and after three e-mail reminders, we obtained 279 complete and usable responses, giving an effective response rate of 24.73%. This response rate is entirely adequate in keeping with surveys' usual response rate in prior studies (Belhadi et al 2020a , b ; Dubey et al 2020 ). The profiles of the responding firms are summarized in Table 2 .…”

“…However, the recent global disruption caused by the COVID-19 outbreak gives rise to the new concept of adaptive resilience, positing that there cannot be a state of equilibrium in complex and intertwined supply chains. Therefore, resilience should be seen as situational capability acquired through continuous learning and adaptations from a series of disruptions (Belhadi et al 2020a , b ). Ponomarov and Holcomb ( 2009 ) claimed that resilient supply chains are less sensitive to disturbances and are more absorptive of supply chain disruptions.…”

Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries

“…automobiles and airlines. We gathered data using a questionnaire survey, since it enabled us to collect more information from key informants within a short duration ( Belhadi et al., 2020 ), considering the current crisis. Firms operating in different tiers of both the automobile and airline supply chains were our target.…”

Investigating the Theoretical Constructs of a Green Lean Six Sigma Approach towards Environmental Sustainability: A Systematic Literature Review and Future Directions

“…Similarly, one framework has been developed for the service industry [92] and another for the public sector [6]. The impact of digitalization and industry 4.0 on environmental sustainability in relation with GLSS is also lacking in literature since only one research study has been conducted in this area so far [98]. There are only three models for GLSS barriers and none of these have been validated from an industrial perspective.…”

“…There should be more research in application of GLSS in industry 4.0 practices to enhance environmental performance. One example is a recent study conducted in an effort to integrate big data analytics with green and lean six sigma [98]. The authors conducted a survey research in order to determine the impact of BDA on environmental performance and how LSS and green manufacturing supports this cause.…”