The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Product intelligence: its conceptualization, measurement and impact on consumer satisfaction
Open accessAbstract
In the last decade, companies have developed a large number of intelligent products. Due to the use of information technology, these products operate somewhat autonomously, cooperate with other products, or adapt to changing circumstances. Based on a literature review and interviews with practitioners, the present article conceptualizes product intelligence and describes a procedure to measure the construct. The article also explores the link of product intelligence to consumer satisfaction through the innovation attributes of relative advantage, compatibility, and complexity. The article considers practical and theoretical implications and identifies future research directions.
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Cites
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Cited by
Paradoxes of artificial intelligence in consumer markets: Ethical challenges and opportunities
Du, S., & Xie, C. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2020.08.024 · Cited by 554
Emotional intelligence or artificial intelligence– an employee perspective
Prentice, C., Dominique Lopes, S., & Wang, X. (2020) · Journal of Hospitality Marketing & Management · doi:10.1080/19368623.2019.1647124 · Cited by 367
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Novak, T. P., & Hoffman, D. L. (2019) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-018-0608-3 · Cited by 332
Incorporating Formative Measures into Covariance-Based Structural Equation Models1
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Self-citation
Metadata
- Authors
- Rijsdijk, S. A., Hultink, E. J., & Diamantopoulos, A.
- Venue
- Journal of the Academy of Marketing Science
- Published
- 2007-05-09
- Volume
- 35
- Issue
- 3
- Pages
- 340-356
- ISSN
- 0092-0703 (ISSN-L)
- 1552-7824
- OpenAlex
- W2128291680
- Cited by
- 198
- References
- 11
- FWCI
- 2.26
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.