CoChat
Sign Up
Cited by 668Consumer Behavior in Brand Consumption and IdentificationInnovative Human-Technology InteractionAI in Service Interactions

The DOI matches its Crossref record; 127 of the 127 references it cites were found in a registry or an index.

Consumer and Object Experience in the Internet of Things: An Assemblage Theory Approach

Hoffman, Donna L, Novak, Thomas P·2018·Journal of Consumer Research
DOI 10.1093/jcr/ucx105
Open this paper in CoChat — free account

Abstract

The consumer Internet of Things (IoT) has the potential to revolutionize consumer experience. Because consumers can actively interact with smart objects, the traditional, human-centric conceptualization of consumer experience as consumers’ internal subjective responses to branded objects may not be sufficient to conceptualize consumer experience in the IoT. Smart objects possess their own unique capacities and their own kinds of experiences in interaction with the consumer and each other. A conceptual framework based on assemblage theory and object-oriented ontology details how consumer experience and object experience emerge in the IoT. This conceptualization is anchored in the context of consumer-object assemblages, and defines consumer experience by its emergent properties, capacities, and agentic and communal roles expressed in interaction. Four specific consumer experience assemblages emerge: enabling experiences, comprising agentic self-extension and communal self-expansion, and constraining experiences, comprising agentic self-restriction and communal self-reduction. A parallel conceptualization of the construct of object experience argues that it can be accessed by consumers through object-oriented anthropomorphism, a nonhuman-centric approach to evaluating the expressive roles objects play in interaction. Directions for future research are derived, and consumer researchers are invited to join a dialogue about the important themes underlying our framework.

Overview

Integrity signals

Registry

Crossref · 10.1093/jcr/ucx105

Cites

127 of 127 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Citations

Cites

Show all 124 references

Research works printed but not linked: 50

  1. Alderson, 1957, Marketing Behavior and Executive Action: A Functionalist Approach to Marketing Theory
  2. Barrett, 2017, “Amazon Alexa Hits 10,000 Skills. Here Comes the Hard Part,”, Wired
  3. Borgerson, 2005, Advances in Consumer Research, 439
  4. Breazeal, 2014, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems—Volume 3, 1030
  5. Brehm, 1981, Psychological Reactance: A Theory of Freedom and Control
  6. Calder, 2008, Kellogg on Media and Advertising, 1
  7. Campbell, 2016, Assembling Consumption: Researching Actors, Networks and Markets, 92
  8. Canniford, 2016, Assembling Consumption: Researching Actors, Networks and Markets, 1
  9. Carbonell, 1983, Machine Learning: An Artificial Intelligence Approach, 3
  10. Carver, 2001, On the Self-Regulation of Behavior
  11. Connell, 2013, The Routledge Companion to Identity and Consumption, 21
  12. De Keyser, 2015, “A Framework for Understanding and Managing the Customer Experience,”, Marketing Science Institute Working Paper Series, 15
  13. DeLanda, 2002, Intensive Science and Virtual Philosophy
  14. DeLanda, 2006, A New Philosophy of Society: Assemblage Theory and Social Complexity
  15. DeLanda, 2011, Philosophy and Simulation: The Emergence of Synthetic Reason
  16. Deleuze, 1987, A Thousand Plateaus: Capitalism and Schizophrenia
  17. Deleuze, 1994, What Is Philosophy
  18. de Waal, 2016, Are We Smart Enough to Know How Smart Animals Are
  19. Downes, 2009, The Laws of Disruption: Harnessing the New Forces That Govern Life and Business in the Digital Age
  20. Farthing, 1992, The Psychology of Consciousness
  21. Fiske, 2004, Relational Models Theory: A Contemporary Overview, 61
  22. Franklin, 1996, ECAI ’96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages, 21
  23. Gershenfeld, 1999, When Things Start to Think
  24. Hall, 1966, The Hidden Dimension
  25. Hansen, 2007, Normative Multi-Agent Systems, Dagstuhl Seminar Proceedings, 1
  26. Harman, 2002, Tool-Being: Heidegger and the Metaphysics of Objects
  27. Harman, 2005, Guerilla Metaphysics: Phenomenology and the Carpentry of Things
  28. Honeycutt, 2003, Imagined Interactions: Daydreaming about Communication
  29. Kenny, 1994, Interpersonal Perception: A Social Relations Analysis
  30. Lanier, 2010, You Are Not a Gadget: A Manifesto
  31. LeFebre, 2017, “Amazon Is Planning Push Notifications for Your Echo,”, Engadget
  32. Leibo, 2017, Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems, 464
  33. Luck, 1995, Proceedings of the First International Conference on Multiagent Systems, 254
  34. Manyika, 2015, The Internet of Things: Mapping the Value Beyond the Hype
  35. McLellan, 2013, Things Come Apart: A Teardown Manual for Modern Living
  36. Meyer, 2016, “Why Smartphones Are Bringing Down Internet-of-Things Revenue Forecasts,”, Fortune
  37. Pine, 1998, The Experience Economy: Work Is Theatre and Every Business a Stage
  38. Price, 2016, Assembling Consumption: Researching Actors, Networks and Markets, 59
  39. Rao, 2015, “Amazon Will Allow Smart Washing Machine to Order Laundry Detergent,”, Fortune
  40. Rebaudengo, 2012, Out of Control: Proceedings of the 8th International Conference Design and Emotion Conference, 1
  41. Rowland, 2015, Designing Connected Products: UX for the Consumer Internet of Things
  42. Rust, 1997, “The Dawn of Computer Behavior,”, Marketing Management, 6, 31
  43. Sauer, 2017, “A Murder Case Tests Alexa’s Devotion to Your Privacy,”, Wired
  44. Schmitt, 1999, Experiential Marketing
  45. Schmitt, 2003, Customer Experience Management: A Revolutionary Approach to Connecting with Your Customers
  46. Sung, 2007, Proceedings of the International Conference on Ubiquitous Computing, 145
  47. Tambyah, 1999, North America Advances in Consumer Research, 270
  48. Wang, 2012, Proceedings of the 2012 International Symposium on Pervasive Displays
  49. Wells, 1988, Optimal Experience: Psychological Studies of Flow in Consciousness, 319
  50. Xu, 2016, Positive Approaches to Optimal Relationship Development, Advances in Personal Relationships, 56

Cited by

Sorted by citations

Items 101–200 of 668

Related

See all

Metadata

Authors
Hoffman, D. L., & Novak, T. P.
Affiliations
George Washington University (US)
Corresponding author
Hoffman, Donna L
Venue
Journal of Consumer Research
Publisher
Oxford University Press (OUP)
Published
2017-10-06
Volume
44
Issue
6
Pages
1178-1204
ISSN
  • 0093-5301 (ISSN-L)
  • 1537-5277
DOI
10.1093/jcr/ucx105
OpenAlex
W3124255990
Cited by
668
References
124
Citations by year
2026: 65 · 2025: 92 · 2024: 77 · 2023: 92 · 2022: 122 · 2021: 84 · 2020: 77 · 2019: 45 · 2018: 10 · 2017: 3
FWCI
66.82
Type
journal article
Language
en
Open access
closed
Licence
academic.oup.com/journals/pages/about_us/legal/notices (vor)
Locations
  • Journal of Consumer Research (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior in Brand Consumption and Identification
  • Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
  • Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
Keywords
Internet of Things, customer experience, assemblage theory, object-oriented ontology, smart objects

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