Short answer

Incorporate digital intelligence and AI capabilities into the design of supply chain processes and systems to foster greater transparency, accountability, and sustainability.

Field: Sustainability
Source: Journal of Enterprise Information Management (2023)
Method: Systematic Literature Review and Bibliometric Analysis
Sample: 135 publications
Evidence: Strong effect

Integrating digital technologies and artificial intelligence into supply chain management significantly improves accountability and drives progress towards sustainability targets. This sustainability research insight is drawn from a 2023 study published in Journal of Enterprise Information Management. Using Systematic literature review and bibliometric analysis with 135 publications, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Incorporate digital intelligence and AI capabilities into the design of supply chain processes and systems to foster greater transparency, accountability, and sustainability.

Study

SustainabilityRecentStrong effect

Digitalization and AI Enhance Supply Chain Accountability for Sustainable Development Goals

Integrating digital technologies and artificial intelligence into supply chain management significantly improves accountability and drives progress towards sustainability targets.

Journal of Enterprise Information Management · 2023

Key Findings

01Artificial knowledge and digitalization are critical enablers for achieving sustainable and resilient supply chain business models.
02These technologies are directly linked to progress on the UN 2030 Agenda for Sustainable Development.
03A conceptual framework can be developed to leverage artificial knowledge and digitalization for increased accountability and sustainable performance, particularly during crises.

Application

Design takeaway

Incorporate digital intelligence and AI capabilities into the design of supply chain processes and systems to foster greater transparency, accountability, and sustainability.

How to apply

When designing new supply chain solutions or optimizing existing ones, prioritize the inclusion of digital platforms and AI tools that can monitor, report, and verify sustainability performance and ethical practices.

Project actions

01When researching a product's lifecycle, consider how digital tools can track its environmental impact.
02Explore how AI could optimize resource use in a manufacturing or logistics process.

Method & Evidence

AimTo explore how artificial knowledge and digitalization can enhance accountability and sustainable performance in supply chain management, aligning with the UN 2030 Agenda.

MethodSystematic Literature Review and Bibliometric Analysis

ProcedureA systematic review of 135 English-language publications from 1990 to 2022 was conducted using the SCOPUS database and Google Scholar. Data were collected, reviewed, and analyzed using bibliometric techniques to identify knowledge production patterns and key themes.

Sample135 publications

ContextSupply Chain Management (SCM) and Sustainable Business Practices

Variables

IV["Digitalization (e.g., IoT, blockchain, data analytics)","Artificial Knowledge (e.g., AI, machine learning)"]

DV["Supply Chain Accountability","Sustainable Performance","Resilience"]

CV["Industry Sector","Geographic Region","Company Size"]

Strengths & Limitations

Strengths

+Comprehensive systematic review methodology.
+Focus on a timely and critical intersection of technology, sustainability, and business practice.

Limitations

The scope of digital integration can be vast; focus on specific, measurable aspects of accountability and sustainability relevant to your design project.

Reliability & validity

The reliability of the findings is supported by the systematic review methodology and bibliometric analysis of a substantial body of literature. Validity is enhanced by the focus on established theoretical perspectives like resilience theory.

Think critically

How can the 'black box' nature of some AI algorithms be reconciled with the need for transparency in supply chain accountability?

Design Principles

"Design for transparency and data-driven accountability through digital integration."

In an era of increasing global interconnectedness and environmental awareness, businesses must demonstrate robust accountability within their supply chains. This research highlights how digital tools and AI can provide the transparency and data-driven insights needed to achieve this, directly impacting corporate responsibility and long-term viability.

What This Means for Your Design

Using computers and smart technology (like AI) in how products are made and moved helps make sure companies are being responsible and good for the planet.

How to use in your project

1.Reference this study when discussing the role of technology in achieving sustainability goals within your design project.

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Quick Cite

Paragraph starter

This research highlights the critical role of digitalization and artificial knowledge in enhancing accountability within supply chain management, directly contributing to the achievement of sustainable development goals. Integrating these technologies offers a pathway to greater transparency and resilience, essential for modern design practice.

Source

Journal of Enterprise Information Management

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

journal · 2023

View source

Questions About This Research

What does the research say about digitalization and ai enhance supply chain accountability for sustainable development goals?: Incorporate digital intelligence and AI capabilities into the design of supply chain processes and systems to foster greater transparency, accountability, and sustainability. Evidence: Journal of Enterprise Information Management (2023).
Why does "Digitalization and AI Enhance Supply Chain Accountability for Sustainable Development Goals" matter for design?: In an era of increasing global interconnectedness and environmental awareness, businesses must demonstrate robust accountability within their supply chains. This research highlights how digital tools and AI can provide the transparency and data-driven insights needed to achieve this, directly impacting corporate responsibility and long-term viability.
How can designers apply this research?: Incorporate digital intelligence and AI capabilities into the design of supply chain processes and systems to foster greater transparency, accountability, and sustainability.
What were the main findings?: Artificial knowledge and digitalization are critical enablers for achieving sustainable and resilient supply chain business models.. These technologies are directly linked to progress on the UN 2030 Agenda for Sustainable Development.. A conceptual framework can be developed to leverage artificial knowledge and digitalization for increased accountability and sustainable performance, particularly during crises.
What research method was used?: Systematic Literature Review and Bibliometric Analysis with 135 publications.
How strong is the evidence?: Evidence strength is rated Strong effect, based on a 2023 journal from Journal of Enterprise Information Management.
What should I do differently in my next project?: When designing new supply chain solutions or optimizing existing ones, prioritize the inclusion of digital platforms and AI tools that can monitor, report, and verify sustainability performance and ethical practices.
What are the limitations?: The review is limited to English-language publications and specific databases, potentially excluding relevant research from other regions or languages. The rapid evolution of AI and digitalization means findings may need continuous updating.