The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance

Benzidia, Smaïl; Makaoui, Naouel; Bentahar, Omar

doi:10.1016/j.techfore.2020.120557

Cited by 362 publications

(293 citation statements)

References 92 publications

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“…The role of deploying technology to promote the environmental culture (Benzidia et al, 2021), circular economy (Rajput & Singh, 2019), green supply chains (Ivanov et al, 2020), and lean production (Ciano et al, 2020;Agarwal et al, 2021) has been the focus of recent literature supporting the RBV and dynamic capabilities. The literature reports in dynamic organizational contexts having multiple stakeholders are involved, such as suppliers, customers, policymakers, considerable period planning, and various products dealt together.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…The literature reports in dynamic organizational contexts having multiple stakeholders are involved, such as suppliers, customers, policymakers, considerable period planning, and various products dealt together. The technology and digital infrastructure are the unique resources to build environmental practices culture (Benzidia et al, 2021). Recent studies on circular economy and close-loop supply chains (Rajput & Singh, 2019) reported that the industry 4.0 implementation could create eco-efficiency, eco-effectiveness, and eco-design in manufacturing supply chains.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

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Environment Practices Mediating the Environmental Compliance and firm Performance: An Institutional Theory Perspective from Emerging Economies

Gupta

2021

Glob J Flex Syst Manag

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Coercive pressure has forced firms to take up environmental measures in the last two decades in emerging economies. Under normative pressure, large firms with farsightedness take up the environmental practices as industry leaders. In a little mature emerging economy, such as India, where triple bottom line awareness is growing, the government facilitates the firms to operate in an environment-friendly ecosystem. We investigate how do environmental compliance and environmental practices influence the overall firm performance? The performance was measured in terms of financial, customer, internal business process, and learning and growth performance. A survey instrument was designed using well-established scales and administered to the middle to top-level corporate management executives to gather 240 data from the Indian firms. A rigorous statistical validity, diagnostics, and SEM were used to test the hypotheses. The environmental practices showed a full mediation effect on the effect of environmental compliance on performance. The examination of mediation relationships in an environmental context is limited in the reported literature. This paper is among the initial works that deal with complicated mediation relationships drawn from institutional theory propositions. The study established and argued that environmental practices' ecosystem would turn firms towards voluntary environmental compliance and eventually enjoy the long-term performance.

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Section: Theoretical Backgroundmentioning

confidence: 99%

Section: Theoretical Backgroundmentioning

confidence: 99%

Environment Practices Mediating the Environmental Compliance and firm Performance: An Institutional Theory Perspective from Emerging Economies

Gupta

2021

Glob J Flex Syst Manag

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“…Their research agrees that DSC brings rapid changes and novel innovation ways to resolve different problems in today emerging and competitive environment. Benzidia et al (2021) have inferred that impact of digitalization and data analytics on green and environmental supply chain is vast and managers are seeking to benchmark that through the entire company process.…”

Section: Managerial Implicationsmentioning

confidence: 99%

Green sourcing in the era of industry 4.0: towards green and digitalized competitive advantages

Fallahpour

Yazdani

Mohammed

et al. 2021

IMDS

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PurposeIn the last decade, sustainable sourcing decision has gained tremendous attention due to the increasing governmental restrictions and public attentiveness. This decision involves diverse sets of classical and environmental parameters, which are originated from a complex, ambiguous and inconsistent decision-making environment. Arguably, supply chain management is fronting the next industrial revolution, which is named industry 4.0, due to the fast advance of digitalization. Considering the latter's rapid growth, current supplier selection models are, or it will, inefficient to assign the level of priority of each supplier among a set of suppliers, and therefore, more advanced models merging “recipes” of sustainability and industry 4.0 ingenuities are required. Yet, no research work found towards a digitalized, along with sustainability's target, sourcing.Design/methodology/approachA new framework for green and digitalized sourcing is developed. Thereafter, a hybrid decision-making approach is developed that utilizes (1) fuzzy preference programming (FPP) to decide the importance of one supplier attribute over another and (2) multi-objective optimization on the basis of ratio analysis (MOORA) to prioritize suppliers based on fuzzy performance rating. The proposed approach is implemented in consultation with the procurement department of a food processing company willing to develop a greener supply chain in the era of industry 4.0.FindingsThe proposed approach is capable to recognize the most important evaluation criteria, explain the ambiguity of experts' expressions and having better discrimination power to assess suppliers on operational efficiency and environmental and digitalization criteria, and henceforth enhances the quality of the sourcing process. Sensitivity analysis is performed to help managers for model approval. Moreover, this work presents the first attempt towards green and digitalized supplier selection. It paves the way towards further development in the modelling and optimization of sourcing in the era of industry 4.0.Originality/valueCompetitive supply chain management needs efficient purchasing and production activities since they represent its core, and this arises the necessity for a strategic adaptation and alignment with the requirement of industry 4.0. The latter implies alterations in the avenue firms operate and shape their activities and processes. In the context of supplier selection, this would involve the way supplier assessed and selected. This work is originally initiated based on a joint collaboration with a food company. A hybrid decision-making approach is proposed to evaluate and select suppliers considering operational efficiency, environmental criteria and digitalization initiatives towards digitalized and green supplier selection (DG-SS). To this end, supply chain management in the era of sustainability and digitalization are discussed.

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“… 2 In Canada, AI applications are being developed for clinical and non-clinical settings, with examples including AI-enhanced peer review of radiological images 3 and tools for improving supply chain management efficiency. 4 While AI may hold great promise, the actual number of sustained implementations in healthcare settings presently remains limited. 5 As applications of AI continue to develop, the need for careful risk management becomes increasingly important.…”

Section: Introductionmentioning

confidence: 99%

Preparing for the future: How organizations can prepare boards, leaders, and risk managers for artificial intelligence

Dixit

Quaglietta

Gaulton

2021

Healthc Manage Forum

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Artificial Intelligence (AI) is the notion of machines mimicking complex cognitive functions usually associated with humans, such as reasoning, predicting, planning, and problem-solving. With constantly growing repositories of data, improving algorithmic sophistication and faster computing resources, AI is becoming increasingly integrated into everyday use. In healthcare, AI represents an opportunity to increase safety, improve quality, and reduce the burden on increasingly overstretched systems. As applications expand, the need for responsible oversight and governance becomes even more important. Artificial intelligence in the delivery of healthcare carries new opportunities and challenges, including the need for greater transparency, the impact AI tools may have on a larger number of patients and families, and potential biases that may be introduced by the way an AI platform was developed and built. This study provides practical guidance in the development and implementation of AI applications in healthcare, with a focus on risk identification, management, and mitigation.

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The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance

Cited by 362 publications

References 92 publications

Environment Practices Mediating the Environmental Compliance and firm Performance: An Institutional Theory Perspective from Emerging Economies

Environment Practices Mediating the Environmental Compliance and firm Performance: An Institutional Theory Perspective from Emerging Economies

Green sourcing in the era of industry 4.0: towards green and digitalized competitive advantages

Preparing for the future: How organizations can prepare boards, leaders, and risk managers for artificial intelligence

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