Resilience development and digitalization of the healthcare supply chain: an exploratory study in emerging economies

Tortorella, Guilherme Luz; Prashar, Anupama; Samson, Daniel; Kurnia, Sherah; Fogliatto, Flávio Sanson; Capurro, Daniel; Antony, Jiju

doi:10.1108/ijlm-09-2021-0438

Cited by 27 publications

(10 citation statements)

References 107 publications

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“…fosters the resilience business model to enable the greater participation of concerned stakeholders (Tortorella et al, 2023). Stakeholder participation will improve firms' resilience business model and digital platforms, as stakeholders would enforce better management strategies and supervise resilience levels in high-risk events (Nica, 2019).…”

Section: Digitalization and Artificial Knowledgementioning

confidence: 99%

“…From the resilience perspective, the UN 2030 Agenda does not only encourage firms to invest in artificial knowledge, digitalization, and innovation for long-term planning, but also JEIM 37,2 fosters the resilience business model to enable the greater participation of concerned stakeholders (Tortorella et al, 2023). Stakeholder participation will improve firms' resilience business model and digital platforms, as stakeholders would enforce better management strategies and supervise resilience levels in high-risk events (Nica, 2019).…”

Section: Digitalization and Artificial Knowledgementioning

confidence: 99%

Section: Theoretical Backgroundmentioning

confidence: 99%

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Digitalization and artificial knowledge for accountability in SCM: a systematic literature review

Vaio

Latif

Gunarathne

et al. 2023

JEIM

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PurposeIn this study, the authors examine artificial knowledge as a fundamental stream of knowledge management for sustainable and resilient business models in supply chain management (SCM). The study aims to provide a comprehensive overview of artificial knowledge and digitalization as key enablers of the improvement of SCM accountability and sustainable performance towards the UN 2030 Agenda.Design/methodology/approachUsing the SCOPUS database and Google Scholar, the authors analyzed 135 English-language publications from 1990 to 2022 to chart the pattern of knowledge production and dissemination in the literature. The data were collected, reviewed and peer-reviewed before conducting bibliometric analysis and a systematic literature review to support future research agenda.FindingsThe results highlight that artificial knowledge and digitalization are linked to the UN 2030 Agenda. The analysis further identifies the main issues in achieving sustainable and resilient SCM business models. Based on the results, the authors develop a conceptual framework for artificial knowledge and digitalization in SCM to increase accountability and sustainable performance, especially in times of sudden crises when business resilience is imperative.Research limitations/implicationsThe study results add to the extant literature by examining artificial knowledge and digitalization from the resilience theory perspective. The authors suggest that different strategic perspectives significantly promote resilience for SCM digitization and sustainable development. Notably, fostering diverse peer exchange relationships can help stimulate peer knowledge and act as a palliative mechanism that builds digital knowledge to strengthen and drive future possibilities.Practical implicationsThis research offers valuable guidance to supply chain practitioners, managers and policymakers in re-thinking, re-formulating and re-shaping organizational processes to meet the UN 2030 Agenda, mainly by introducing artificial knowledge in digital transformation training and education programs. In doing so, firms should focus not simply on digital transformation but also on cultural transformation to enhance SCM accountability and sustainable performance in resilient business models.Originality/valueThis study is, to the authors' best knowledge, among the first to conceptualize artificial knowledge and digitalization issues in SCM. It further integrates resilience theory with institutional theory, legitimacy theory and stakeholder theory as the theoretical foundations of artificial knowledge in SCM, based on firms' responsibility to fulfill the sustainable development goals under the UN's 2030 Agenda.

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Section: Digitalization and Artificial Knowledgementioning

confidence: 99%

Section: Digitalization and Artificial Knowledgementioning

confidence: 99%

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Digitalization and artificial knowledge for accountability in SCM: a systematic literature review

Vaio

Latif

Gunarathne

et al. 2023

JEIM

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“…I4.0 technology applies automation, intelligent machines, and data processing advancements and can potentially transform the infrastructure for pharmaceutical manufacturing and distribution completely [ 32 , 33 ]. Moreover, the application of I4.0 can also be leveraged in the pharmaceutical industry to improve personalized medication enabling the mass customization of products with increased flexibility and efficiency of the manufacturing processes [ 34 ].…”

Section: Introductionmentioning

confidence: 99%

Assessing the critical success factors for implementing industry 4.0 in the pharmaceutical industry: Implications for supply chain sustainability in emerging economies

Debnath,

Shakur,

Bari

et al. 2023

PLoS ONE

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The emerging technologies of Industry 4.0 (I4.0) are crucial to incorporating agility, sustainability, smartness, and competitiveness in the business model, enabling long-term sustainability practices in the pharmaceutical supply chain (PSC). By leveraging the latest technologies of I4.0, pharmaceutical companies can gain real-time visibility into their supply chain (SC) operations, allowing them to make data-driven decisions that improve SC performance, efficiency, resilience, and sustainability. However, to date, no research has examined the critical success factors (CSFs) that enable the pharmaceutical industry to adopt I4.0 successfully to enhance overall SC sustainability. This study, therefore, analyzed the potential CSFs for adopting I4.0 to increase all facets of sustainability in the PSC, especially from the perspective of an emerging economy like Bangladesh. Initially, sixteen CSFs were identified through a comprehensive literature review and expert validation. Later, the finalized CSFs were clustered into three relevant groups and analyzed using a Bayesian best-worst method (BWM)-based multi-criteria decision-making (MCDM) framework. The study findings revealed that "sufficient investment for technological advancement", "digitalized product monitoring and traceability", and "dedicated and robust research and development (R&D) team" are the top three CSFs to adopt I4.0 in the PSC. The study’s findings can aid industrial practitioners, managers, and policymakers in creating effective action plans for efficiently adopting I4.0 in PSC to avail of its competitive benefits and ensure a sustainable future for the pharmaceutical industry.

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“…Scientists suggested a deliberate strategy and presented a dashboard of quantitative markers to evaluate a client's spatial admittance to the Waste Electrical and Electronic Equipment organization. Moreover, an unmistakable report was directed to distinguish important and fitting markers for surveying Indonesia's casual e-waste organizations(Tortorella et al, 2022). They have an assortment of execution points of view, each with various markers, including monetary, ecological, partner's qualities, inward business interaction, social and development, and development viewpoints.…”

mentioning

confidence: 99%

Closed Loop Supply Chain: Evaluating Ecological Footprint

Khaskhelly

Khokhar

Zehra

et al. 2022

RMS

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Purpose: The purpose of this research is to evaluate the success of the closed-loop E-waste supply chain operations, primarily focused on achieving sustainability objectives related to the manufacturing, distribution, reusing, and discarding of electrical components. Methodology: The supply chain operations reference model offers suggestions and benchmarking tools to monitor the performance of supply chains and enhance the processes. This study illustrates a conceptual framework to show how these standards could be used in the E-waste supply chain to link business processes, metrics, industry standards, and technology to enhance the relationship and coordination between the supply chain members and to increase sustainability throughout the supply chain. Findings: According to an assessment of the literature, insufficient attention has been paid to the SCOR model's sustainability criteria. Consequently, in the wake of portraying the structure of the Supply Chain Operation Reference model, we make sense of which credits should be included in the Supply Chain Operation Reference to reflect manageability and which cycles and practices are related to every standard or should be remembered for Supply Chain Operation Reference to lay out the connection between execution, cycles, and practices. Conclusions: When a company's supply chain has achieved a desirable degree of eco-friendliness in all regards, its performance will be improved and satisfactory from a sustainability perspective

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Resilience development and digitalization of the healthcare supply chain: an exploratory study in emerging economies

Cited by 27 publications

References 107 publications

Digitalization and artificial knowledge for accountability in SCM: a systematic literature review

Digitalization and artificial knowledge for accountability in SCM: a systematic literature review

Assessing the critical success factors for implementing industry 4.0 in the pharmaceutical industry: Implications for supply chain sustainability in emerging economies

Closed Loop Supply Chain: Evaluating Ecological Footprint

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