Examining the interactions among smart supply chains and carbon reduction strategies: To attain carbon neutrality

Patil, Anchal; Shardeo, Vipulesh; Dwivedi, Ashish; Moktadir, Md. Abdul; Bag, Surajit

doi:10.1002/bse.3547

Cited by 10 publications

(3 citation statements)

References 88 publications

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“…Net-Zero will be a high priority for organisations to meet the SDGs (Govindan, 2023). The timely reporting of carbon emission data helps top management of organisations to smartly align their resources, strategies and approaches to reduce emissions (Scope 3) across the SC (Chevrollier et al , 2023; Zhang et al , 2022a), which will eventually result in the form of sustainable performance (Patil et al , 2023).…”

Section: Discussionmentioning

confidence: 99%

The relationship between information processing capabilities, Net-Zero capability and supply chain performance

Balci,

Ali

2024

SCM

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Purpose This study views Net-Zero as a dynamic capability for decarbonising supply chains (SCs). This study aims to investigate the relationship between three information processing-related capabilities (supply chain visibility [SCV], supply chain integration [SCI] and big data analytics [BDA]) as its antecedents and SC performance as its competitive advantage outcome. Design/methodology/approach The authors conceptualise a research model grounded in the literature based on dynamic capabilities and information processing views. The study uses a structural equation modelling technique to test the hypotheses’ relationship using the survey data from 311 industrial enterprises. Findings The results show that SCI and BDA positively and directly influence the Net-Zero capability (NZC). No significant direct impact is found between SCV and NZC. BDA fully mediates SCV and partially mediates SCI in their relationship with NZC. The results also confirm that NZC positively impacts SC performance (SCP). Originality/value This study contributes to operations management and SC literature by extending the knowledge about Net-Zero SCs through an empirical investigation. In particular, the study suggests BDA is essential to enhance NZC as SCV alone does not significantly contribute. The study also documents the benefit of NZC on SCP, which can encourage more volunteer actions in the industry.

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Section: Discussionmentioning

confidence: 99%

The relationship between information processing capabilities, Net-Zero capability and supply chain performance

Balci,

Ali

2024

SCM

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“…Environmental efficiency emphasizes the integration of sustainable practices and technologies to minimize environmental impact while optimizing resource utilization . Data integration plays a crucial role in enabling seamless information exchange and collaboration among SC stakeholders, allowing for informed decision-making and adaptive responses to market changes (Ivanov, 2023;Patil et al, 2024).…”

Section: Management Andmentioning

confidence: 99%

“…, 2023). Data integration plays a crucial role in enabling seamless information exchange and collaboration among SC stakeholders, allowing for informed decision-making and adaptive responses to market changes (Ivanov, 2023; Patil et al. , 2024).…”

Section: Literature Reviewmentioning

confidence: 99%

Digital twins' readiness and its impacts on supply chain transparency and sustainable performance

Patil,

Srivastava,

Paul

et al. 2024

IMDS

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PurposeProduction systems occupy geographically dispersed organizations with limited visibility and transparency. Such limitations create operational inefficiencies across the Supply Chain (SC). Recently, researchers have started exploring applications of Digital Twins Technology (DTT) to improve SC operations. In this context, there is a need to provide comprehensive theoretical knowledge and frameworks to help stakeholders understand the adoption of DTT. This study aims to fulfill the research gap by empirically investigating DTT readiness to enable transparency in SC.Design/methodology/approachA comprehensive literature survey was conducted to develop a theoretical model related to Supply Chain Transparency (SCT) and DTT readiness. Then, a questionnaire was developed based on the proposed theoretical model, and data was collected from Indian manufacturers. The data was analyzed using Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (SEM) to confirm the proposed relationships.FindingsThe findings from the study confirmed a positive relationship between DTT implementation and SCT. This study reported that data readiness, perceived values and benefits of DTT, and organizational readiness and leadership support influence DTT readiness and further lead to SCT.Originality/valueThis study contributes to the literature and knowledge by uniquely mapping and validating various interactions between DTT readiness and sustainable SC performance.

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Data‐driven control and a prey–predator model for sourcing decisions in the low‐carbon intertwined supply chain

El Harraki,

Abedin,

Belhadi

et al. 2024

Bus Strat Env

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This paper addresses the challenges of low‐carbon sourcing in intertwined supply chains by proposing a data‐driven control framework and a prey–predator model for sourcing decisions. The objective is to optimize low‐carbon objectives and reduce environmental impact. Existing static models fail to capture the dynamic nature of supply chain systems and overlook the ripple effects when sourcing decisions propagate throughout the interconnected network. To bridge this gap, our study develops a dynamic model that explicitly captures the bullwhip effect and leverages real‐time and historical data. This model conceptualizes suppliers as prey and manufacturers and consumers as predators, employing an ecological analogy to decipher the intricate interactions and dependencies within the supply chain. Through this approach, we identify strategies to promote sustainable practices and motivate suppliers to adopt low‐carbon measures. We assess two data‐driven algorithms, the nonlinear auto‐regressive exogenous (NARX) network and sparse identification of nonlinear dynamic systems with input variables (SINDYc). The results reveal that SINDYc outperforms prediction accuracy and control, offering significant advantages for rapid decision‐making. The study highlights how shifts in market demands and regulatory pressures critically influence the strategies of chemical firms and fertilizer markets. Moreover, it discusses the economic challenges in transitioning from high carbon footprint suppliers (HCFSs) to low carbon footprint suppliers (LCFSs), exacerbated by a notable cost disparity where HCFSs are approximately 30% cheaper. By advancing beyond conventional static models, this research provides a deeper understanding of the environmental impacts and operational dynamics within supply chains, emphasizing the significant “ripple effect” where decisions at one node profoundly affect others within the chain.

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Examining the interactions among smart supply chains and carbon reduction strategies: To attain carbon neutrality

Cited by 10 publications

References 88 publications

The relationship between information processing capabilities, Net-Zero capability and supply chain performance

The relationship between information processing capabilities, Net-Zero capability and supply chain performance

Digital twins' readiness and its impacts on supply chain transparency and sustainable performance

Data‐driven control and a prey–predator model for sourcing decisions in the low‐carbon intertwined supply chain

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