The DOI matches its Crossref record; 79 of the 80 references it cites were found in a registry or an index.
Artificial intelligence in E-commerce fulfillment: A case study of resource orchestration at Alibaba’s Smart Warehouse
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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
Citations
Cites
Firm Resources and Sustained Competitive Advantage
Barney, J. (1991) · Journal of Management · doi:10.1177/014920639101700108 · Cited by 48,334
Firm resources and sustained competitive advantage
Barney, J. B. (2004) · Advances in strategic management · doi:10.1016/s0742-3322(00)17018-4 · Cited by 38,216
Building Theories from Case Study Research
Eisenhardt, K. M. (1989) · The Academy of Management Review · doi:10.2307/258557 · Cited by 17,455
A Set of Principles for Conducting and Evaluating Interpretive Field Studies in Information Systems1
Klein, H. K., & Myers, M. D. (1999) · MIS Quarterly · doi:10.2307/249410 · Cited by 5,263
The Case Research Strategy in Studies of Information Systems
Benbasat, I., Goldstein, D. K., & Mead, M. (1987) · MIS Quarterly · doi:10.2307/248684 · Cited by 4,716
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., et al. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.08.002 · Cited by 4,611
Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., Jain, V., Karjaluoto, H., Kefi, H., Krishen, A. S., et al. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102168 · Cited by 4,608
Is the Resource-Based “View” a Useful Perspective for Strategic Management Research?
Priem, R. L., & Butler, J. E. (2001) · Academy of Management Review · doi:10.5465/amr.2001.4011928 · Cited by 4,461
Why Are There Still So Many Jobs? The History and Future of Workplace Automation
Autor, D. H. (2015) · Journal of Economic Perspectives · doi:10.1257/jep.29.3.3 · Cited by 3,917
Interpretive case studies in IS research: nature and method
Walsham, G. (1995) · European Journal of Information Systems · doi:10.1057/ejis.1995.9 · Cited by 3,834
Research works printed but not linked: 2
- Gupta, 2017, Artificial Intelligence in public health: Opportunities and challenges, JK Science, 19, 191
- Parveen, 2018, Artificial intelligence in construction industry: Legal issues and regulatory challenges, International Journal of Civil Engineering and Technology, 9, 957
Cited by
Sorted by citations
Responsible Artificial Intelligence Governance: A Review and Research Framework
Papagiannidis, E., Mikalef, P., & Conboy, K. (2025) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2024.101885 · Cited by 565
An overview of machine learning applications for smart buildings
Alanne, K., & Sierla, S. (2021) · Sustainable Cities and Society · doi:10.1016/j.scs.2021.103445 · Cited by 313
“The reported applications vary from the resource management of a warehouse (Zhang, Pee & Cui, 2021) to AI-assisted maintenance of renewable energy systems (Shin, Han & Rhee, 2021).”
BackgroundKushwaha, A. K., Kumar, P., & Kar, A. K. (2021) · Industrial Marketing Management · doi:10.1016/j.indmarman.2021.08.011 · Cited by 309
de Queiroz, M. M., Wamba, S. F., Jabbour, C. J. C., & Machado, M. C. (2022) · International Journal of Production Economics · doi:10.1016/j.ijpe.2021.108405 · Cited by 277
“, 2014) and e-commerce fulfilment (Zhang et al., 2021), among others.”
Chatterjee, S., Rana, N. P., Tamilmani, K., & Sharma, A. (2021) · Industrial Marketing Management · doi:10.1016/j.indmarman.2021.07.013 · Cited by 336
“In B2B relationships, customers' data becomes vast and complex since it is collected from multiple customer touchpoints set up in the organization (Dwivedi et al., 2021; Shareef et al., 2021; Zhang, Pee, & Cui, 2021).”
BackgroundResult
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review