The DOI matches its Crossref record.
Culture's Consequences: International Differences in Work-Related Values.
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Items 301–305 of 305
Patterns of SME’s Marketing Mix Combinations and Their Characteristics in Export Markets
Larimo, J., Zucchella, A., Kontkanen, M., & Hagen, B. (2018) · Advances in Global Marketing · doi:10.1007/978-3-319-61385-7_14 · Cited by 6
Janicijevic, N., & Marinkovic, I. (2015) · Ekonomika preduzeca · doi:10.5937/ekopre1506264j · Cited by 6
Human Factors Consideration for the Design of Collaborative Machine Assistants
Park, S., Fisk, A. D., & Rogers, W. A. (2010) · Handbook of Ambient Intelligence and Smart Environments · doi:10.1007/978-0-387-93808-0_36 · Cited by 4
Consumer Trust towards an Online Vendor in High- vs. Low-Context Cultures
Hallikainen, H., & Laukkanen, T. (2016) · 2016 49th Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2016.443 · Cited by 3
Metadata
- Authors
- Sorge, A., & Hofstede, G.
- Venue
- Administrative Science Quarterly
- Publisher
- JSTOR
- Published
- 1983-12
- Volume
- 28
- Issue
- 4
- Pages
- 625
- ISSN
- 0001-8392 (ISSN-L)
- OpenAlex
- W2316966198
- Cited by
- 15,062
- References
- 0
- FWCI
- 223.98
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
