Hybrid intelligence in procurement: Disillusionment with AI’s superiority?

Bürger, Markus; Nitsche, Anna-Maria; Arlinghaus, Julia C.

doi:10.1016/j.compind.2023.103946

Cited by 12 publications

(5 citation statements)

References 64 publications

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“…The existing literature also recognizes the need to address potential risks and revise procurement processes accordingly. Emphasizing a human-centric approach in AI-powered procurement systems can help tackle these challenges and ensure effective and responsible implementation [157,158].…”

Section: Discussionmentioning

confidence: 99%

Transformative Procurement Trends: Integrating Industry 4.0 Technologies for Enhanced Procurement Processes

Althabatah,

Yaqot,

Menezes

et al. 2023

Logistics

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Background: the advent of Industry 4.0 (I4.0) innovations has revolutionized supply chain management through technologies like the Internet of Things (IoT) and Artificial Intelligence (AI) integrated into procurement processes. Methods: this study addresses a critical knowledge gap by conducting a comprehensive review of 111 papers sourced from the Scopus database. These papers are classified into seven sub-themes encompassing I4.0 or procurement 4.0 (P4.0), big data, IoT, additive manufacturing, blockchain, e-procurement, and AI. Results: the investigation reveals that I4.0 technologies, particularly e-procurement and blockchain, have garnered substantial attention. Such technologies offer diverse value propositions, encompassing streamlined supplier evaluation, lead time reduction, cost optimization, and enhanced data security. Conclusion: the paper underscores pivotal trends and insights for the evolution of Procurement 4.0, illuminating a path toward more efficient supply chain management.

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Section: Discussionmentioning

confidence: 99%

Transformative Procurement Trends: Integrating Industry 4.0 Technologies for Enhanced Procurement Processes

Althabatah,

Yaqot,

Menezes

et al. 2023

Logistics

View full text Add to dashboard Cite

show abstract

“…Therefore, people with different cultural backgrounds and personality traits in different eras, classes, ethnic groups, and regions have different definitions of beauty, which is difficult to measure using artificial intelligence. In summary, both human intelligence and artificial intelligence have their own advantages and disadvantages and can complement each other's strengths to shape a hybrid intelligent creation model of human-machine collaboration for the future [15].…”

Section: The Differences Between Human Intelligence and Artificial In...mentioning

confidence: 99%

“…Design activities are increasingly presenting hybrid intelligent creation modes. Hybrid intelligence refers to the combination of human intelligence and artificial intelligence systems, utilizing their respective advantages to achieve more efficient and accurate decision making and sustainable work outcomes [15,16]. Through this approach, we can combine human creativity, intuition, and emotional intelligence with the high-speed computing, data processing, and automation capabilities of artificial intelligence, unleashing the maximum potential of both parties.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Intelligence: Design for Sustainable Multiverse via Integrative Cognitive Creation Model through Human–Computer Collaboration

Liu,

2024

Applied Sciences

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The unprecedented development of artificial intelligence (AI) makes it possible for computers to imitate and surpass human intelligence (HI). Hybrid intelligence is the result of the co-evolution of AI and HI and has huge application potential in promoting the sustainable development of human society. This study starts from the similarities and differences between biological neural networks and artificial neural networks, compares the cognitive foundations of human intelligence and artificial intelligence, highlights the difference and connection between AI and HI, and puts forward the necessity and inevitability of their co-evolution to achieve hybrid intelligence with complementary advantages. Hybrid intelligence stands to become the pivotal force driving purposeful and planned sustainable creative behavior in the artificial intelligence era. This study proposes a design cognitive creation model based on human–computer collaboration that considers computational design thinking as the central concept. Moreover, the paradigm shift of design under hybrid intelligence intervention are explored from five aspects: “tool evolution”, “response mode”, “output result”, “iterative optimization” and “system innovation”. Finally, this article constructs a creative intervention mechanism of design creation driven by hybrid intelligence and discusses its role playing in the design activities of sustainable multiverse construction in the future. The proposal of the multiverse model transcends the confines of the metaverse’s virtual worldview and embraces sustainable development for value guidance. It advocates a future trajectory for humanity that hinges on technological progress, fostering a prosperous, balanced, and harmonious coexistence between the natureverse, socialverse, and digitalverse. This approach is not only rational and scientific, but also inherently sustainable.

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“…This streamlines the review and analysis of procurement documents, improves efficiency, and enhances the accuracy of information extraction. Furthermore, information about suppliers can be analysed using NLP methods from a variety of sources, such as business profiles, financial data, and internet reviews (Burger et al 2023). Moreover, NLP can effectively analyse contract documents in PP through automation.…”

Section: Conceptual Structurementioning

confidence: 99%

Emerging Technologies Revolutionising Public Procurement: Insights from Comprehensive Bibliometric Analysis

Mavidis,

Folinas,

Skiadas

et al. 2024

Administrative Sciences

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This study aims to deepen our understanding of the evolving landscape of public procurement (PP) and emerging technologies (ET). It addresses the critical gap in scholarly production analysis, author collaborations, and thematic trends in PP and ET, providing valuable insights for researchers, policymakers, and practitioners. Employing a methodology inspired by prior research, this study leveraged advanced bibliometric tools, including Studio R and the Biblioshiny app, for data retrieval, processing, and visualization. This approach facilitated co-citation, source coupling, and network collaboration analyses. Thematic maps and correspondence analysis were used to explore research themes in depth. The findings highlight a significant surge in research interest in the integration of ET in PP since 2018, underlining the growing importance of technology-driven advancements in the field. These insights are vital for shaping policy decisions, spurring innovation, and enhancing PP processes’ efficiency, transparency, and sustainability, which are crucial for effective governance and economic growth.

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Hybrid intelligence in procurement: Disillusionment with AI’s superiority?

Cited by 12 publications

References 64 publications

Transformative Procurement Trends: Integrating Industry 4.0 Technologies for Enhanced Procurement Processes

Transformative Procurement Trends: Integrating Industry 4.0 Technologies for Enhanced Procurement Processes

Hybrid Intelligence: Design for Sustainable Multiverse via Integrative Cognitive Creation Model through Human–Computer Collaboration

Emerging Technologies Revolutionising Public Procurement: Insights from Comprehensive Bibliometric Analysis

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