Artificial intelligence in E-commerce fulfillment: A case study of resource orchestration at Alibaba’s Smart Warehouse
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In cases where low-skill tasks continue to be fulfilled by humans in service of automated processes, human work continues not because it is difficult to automate but because humans are better at it, or cheaper to employ, than machines.
“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
AI has the potential to generate business value in performance, productivity and effectiveness, but it is not autonomous; it works in concert with human capabilities.
“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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InfluentialLogistics Technology Forecasting Framework Using Patent Analysis for Technology Roadmap
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Data Science and Marketing in E-Commerce Amid COVID-19 Pandemic
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“It is noticeable that 85% of AI initiatives are not successfully implemented (Zhang, Pee, and Cui, 2021).”
BackgroundPramanik, P., Jana, R. K., & Ghosh, I. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123482 · Cited by 38 · see citing works
Artificial Intelligence in E-commerce: A Literature Review
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“Amazon or Alibaba, for example, offer to handle logistics management entirely for their vendors on agreed products (Zhang et al. 2021a; Zhu and Liu 2018).”
InfluentialOrchestrating artificial intelligence for urban sustainability
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Self-citationHuman Resource Management Transformation in the Digital Age: Recent Trends and Implications
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“13 It is important to have an ef-fi cient and accurate handling of the inbound and outbound processes towards performing a prompt order-picking process.”
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MethodArtificial intelligence in healthcare services: past, present and future research directions
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Machine Learning for Enabling Strategic Insights to Future-Proof E-Commerce
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“In e-commerce and promotion, the main priority attributes are adaptiveness , tutorial , economical and appropriateness , which are consistent with those in the study by Zhang, Pee, and Cui (2021).”
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Role of Artificial Intelligence and Machine Learning in E-commerce: a Literature Review
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- 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 › Sociology and Political Science › 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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