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Artificial intelligence in E-commerce fulfillment: A case study of resource orchestration at Alibaba’s Smart Warehouse
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“In cases such as these, human work continues to be performed by humans, not because it is difficult to automate, but because humans are better at it, or cheaper to employ, than machines.”
From Artificial intelligence and work: a critical review of recent research from the social sciences (2024) · cites this paper as Zhang et al. 2021
In the citing paper
“While AI has the potential to generate business value in terms of performance, productivity and effectiveness, it is not autonomous, as it works in concert with human capabilities (Zhang et al., 2021).”
From Toward AI Governance: Identifying Best Practices and Potential Barriers and Outcomes (2023) · cites this paper as Zhang et al., 2021
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“…made in the utilization of resource orchestration is that the mere possession of resources will not add value to any organization (Asiaei et al., 2021; Zhang et al., 2021 ); a firm creates value for itself and its customers only when it effectively lever - ages its resources (Sirmon et al., 2007).”
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“The artificial intelligence (AI) market was estimated to be worth a stunning $1.2 trillion in 2018, and 61 per cent of enterprises were said to be employing AI in some capacity [10][11].”
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Metadata
- Authors
- Zhang, D., Pee, L. G., & Cui, L.
- Affiliations
- Nankai University (CN)
- Nanyang Technological University (SG)
- Shanghai University of Finance and Economics (CN)
- Corresponding author
- Cui, Lili
- Venue
- International Journal of Information Management
- Publisher
- Elsevier BV
- Published
- 2021-04
- Volume
- 57
- Pages
- 102304
- ISSN
- 0268-4012 (ISSN-L)
- OpenAlex
- W3120066074
- Cited by
- 228
- References
- 80
- Citations by year
- 2026: 23 · 2025: 44 · 2024: 53 · 2023: 49 · 2022: 42 · 2021: 17
- FWCI
- 24.48
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Information Management (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DR-NTU (Nanyang Technological University) (submittedVersion)
- Funders
- National Natural Science Foundation of China
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Systems Theories and Implementation
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Technology Governance and Strategy
- Keywords
- artificial intelligence, e-commerce fulfillment, resource orchestration, AI capabilities, human-AI co-evolution, warehouse automation, robots, artificial intelligence forecasting, automated planning, AI learning, business value, Alibaba, smart warehouse
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