The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model
Integrity signals
Registry
Cites
Statistics
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?
AI in education presents a promising opportunity for enhancing learning, provided proper safeguards and strategies are implemented.
“Despite these challenges, AI in education presents a promis -ing opportunity for enhancing learning [ 3, 4, 14 ], provided proper safeguards and strategies are implemented to address its potential risks.”
From Redefining student assessment in AI-infused learning environments: a systematic review of challenges and strategies for academic integrity (2026) · cites this paper as [14]
Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314 · see citing works
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190 · see citing works
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788 · see citing works
Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.51.6.1173 · Cited by 91,542 · see citing works
Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.51.6.1173 · Cited by 91,532 · see citing works
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194 · see citing works
SPSS and SAS procedures for estimating indirect effects in simple mediation models
Preacher, K. J., & Hayes, A. F. (2004) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03206553 · Cited by 17,383 · see citing works
A comparison of methods to test mediation and other intervening variable effects
MacKinnon, D. P., Lockwood, C. M., Hoffman, J. M., West, S. G., & Sheets, V. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.1.83 · Cited by 9,406 · see citing works
Internet of Things in industries: A survey
Xu, L. D., He, W., & Li, S. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2300753 · Cited by 5,172 · see citing works
Big data analytics and firm performance: Effects of dynamic capabilities
Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J.-F., Dubey, R., & Childe, S. J. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2016.08.009 · Cited by 2,474 · see citing works
Ivanov, D., Dolgui, A., & Sokolov, B. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1488086 · Cited by 2,055 · see citing works
How to improve firm performance using big data analytics capability and business strategy alignment?
Akter, S., Wamba, S. F., Gunasekaran, A., Dubey, R., & Childe, S. J. (2016) · International Journal of Production Economics · doi:10.1016/j.ijpe.2016.08.018 · Cited by 1,624 · see citing works
Wang, G., Gunasekaran, A., Ngai, E. W. T., & Papadopoulos, T. (2016) · International Journal of Production Economics · doi:10.1016/j.ijpe.2016.03.014 · Cited by 1,545 · see citing works
Internet of things and supply chain management: A literature review
Ben-Daya, M., Hassini, E., & Bahroun, Z. (2019) · International Journal of Production Research · doi:10.1080/00207543.2017.1402140 · Cited by 1,501 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Ma, Q., Tariq, M., Mahmood, H., & Khan, Z. (2022) · Technology in Society · doi:10.1016/j.techsoc.2022.101910 · Cited by 493 · see citing works
Industry’s 4.0 transformation process: How to start, where to aim, what to be aware of
Calabrese, A., Dora, M., Levialdi Ghiron, N., & Tiburzi, L. (2022) · Production Planning & Control · doi:10.1080/09537287.2020.1830315 · Cited by 109 · see citing works
Ncube, P. D. N., Dzvapatsva, G. P., Matobobo, C., & Ranga, M. M. (2026) · AI and Ethics · doi:10.1007/s43681-025-00871-w · Cited by 31 · see citing works
Vlachos, I., & Graham, G. (2025) · International Journal of Production Research · doi:10.1080/00207543.2025.2553824 · Cited by 12 · see citing works
- Authors
- Li, Y., Dai, J., & Cui, L.
- Affiliations
- Shandong University (CN)
- University of Nottingham Ningbo China (CN)
- Dalian University of Technology (CN)
- Corresponding author
- Cui, Li
- Venue
- International Journal of Production Economics
- Publisher
- Elsevier BV
- Published
- 2020-11
- Volume
- 229
- Pages
- 107777
- ISSN
- 0925-5273 (ISSN-L)
- OpenAlex
- W3021086664
- Cited by
- 922
- References
- 14
- Citations by year
- 2026: 102 · 2025: 213 · 2024: 198 · 2023: 181 · 2022: 134 · 2021: 81 · 2020: 12
- FWCI
- 65.02
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Production Economics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- 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 › Strategy and Management › Sustainable Supply Chain Management
- Keywords
- digital technologies, Industry 4.0, economic performance, environmental performance, environmental dynamism, Internet of Things, cloud computing, big data analytics, information processing theory, manufacturing companies, moderated mediation
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