The DOI matches its Crossref record; 125 of the 127 references it cites were found in a registry or an index.
Relationship journeys in the internet of things: a new framework for understanding interactions between consumers and smart objects
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
“IoT may impose constraints and restrictions on consumer journeys (Hoffman and Novak 2018; Novak and Hoffman 2019).”
From A strategic framework for artificial intelligence in marketing (2021) · cites this paper as Novak and Hoffman 2019
In the citing paper
“According to research, humans' natural tendency to anthropomorphise objects is especially noticeable for intelligent objects like robots and artificial intelligence (AI), where anthropomorphising is comparatively simple (Novak and Hoffman 2019).”
From The Psychology of the Eliza Effect: Anthropomorphism, Social Presence, and Projection in Human-AI Interaction (2025) · cites this paper as Novak and Hoffman 2019
Citations
Cites
Russell, J. A. (1980) · Journal of Personality and Social Psychology · doi:10.1037/h0077714 · Cited by 16,334
Mastering the game of Go with deep neural networks and tree search
Silver, D., Huang, A., Maddison, C. J., Guez, A., Sifre, L., van den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., et al. (2016) · Nature · doi:10.1038/nature16961 · Cited by 15,612
Schwartz, S. H. (1992) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)60281-6 · Cited by 14,619
Mastering the game of Go without human knowledge
Silver, D., Schrittwieser, J., Simonyan, K., Antonoglou, I., Huang, A., Guez, A., Hubert, T., Baker, L., Lai, M., Bolton, A., et al. (2017) · Nature · doi:10.1038/nature24270 · Cited by 9,084
Possessions and the Extended Self
Belk, R. W. (1988) · Journal of Consumer Research · doi:10.1086/209154 · Cited by 9,064
Handbook of Personality: Theory and Research
Krueger, R. F., & Johnson, W. (2008) · Cited by 7,884
Consumers and Their Brands: Developing Relationship Theory in Consumer Research
Fournier, S. (1998) · Journal of Consumer Research · doi:10.1086/209515 · Cited by 7,542
Understanding customer experience throughout the customer journey
Lemon, K. N., & Verhoef, P. C. (2016) · Journal of Marketing · doi:10.1509/jm.15.0420 · Cited by 5,765
A perspective on judgment and choice: mapping bounded rationality.
Kahneman, D. (2003) · American Psychologist · doi:10.1037/0003-066x.58.9.697 · Cited by 5,540
Inclusion of Other in the Self Scale and the structure of interpersonal closeness.
Aron, A., Aron, E. N., & Smollan, D. (1992) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.63.4.596 · Cited by 5,157
Research works printed but not linked: 4
- Byron, E. (2017). Does your washing machine understand you? How to talk to appliances. Wall Street Journal, November 19.
- Connell, P. M., & Schau, H. J. (2013). Self-expansion and self-extension as distinct strategies. The Routledge companion to identity and consumption, 21–30.
- Deleuze, G., & Guattari, F. (1987). A thousand plateaus. Translated by Brian Massumi. Minneapolis: The University of Minnesota Press.
- Hoffman, D.L., Novak, T.P., & Kang, H. (2016), Anthropomorphism from self-extension and self-expansion processes: An assemblage theory approach to interactions between consumers and smart devices, paper presented at the Society for Consumer Psychology Winter Conference, St. Pete Beach, FL, Feb 25–27.
Cited by
Sorted by citations
A strategic framework for artificial intelligence in marketing
Huang, M.-H., & Rust, R. T. (2021) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-020-00749-9 · Cited by 2,059
“…addressed some issues, such as managers and management education underpreparing the next generation for feeling and emotional intelligence (Huang and Rust 2018; Huang et al. 2019), and IoT may impose constraints and restrictions on consumer journeys (Hoffman and Novak 2018; Novak and Hoffman 2019).”
BackgroundBlut, M., Wang, C., Wünderlich, N. V., & Brock, C. (2021) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-020-00762-y · Cited by 1,194
Lu, V., Wirtz, J., Kunz, W., Paluch, S., Gruber, T., Martins, A., & Patterson, P. (2020) · Journal of service theory and practice · doi:10.1108/jstp-04-2019-0088 · Cited by 494
Internet of Things and Big Data as enablers for business digitalization strategies
Sestino, A., Prete, M. I., Piper, L., & Guido, G. (2020) · Technovation · doi:10.1016/j.technovation.2020.102173 · Cited by 564
Pitardi, V., & Marriott, H. R. (2021) · Psychology & Marketing · doi:10.1002/mar.21457 · Cited by 455
Metadata
- Authors
- Novak, T. P., & Hoffman, D. L.
- Affiliations
- George Washington University (US)
- Corresponding author
- Novak, Thomas P.
- ORCID
- Hoffman, Donna L.
- Venue
- Journal of the Academy of Marketing Science
- Published
- 2018-10-08
- Volume
- 47
- Issue
- 2
- Pages
- 216-237
- ISSN
- 0092-0703 (ISSN-L)
- 1552-7824
- OpenAlex
- W2895424969
- Cited by
- 332
- References
- 127
- Citations by year
- 2026: 36 · 2025: 45 · 2024: 48 · 2023: 59 · 2022: 56 · 2021: 42 · 2020: 35 · 2019: 10 · 2018: 1
- FWCI
- 39.36
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of the Academy of Marketing Science (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior in Brand Consumption and Identification
- Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- smart objects, Internet of Things, assemblage theory, object-oriented ontology, agency, communion, relationship styles, customer experience
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.
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