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Product Intelligence: Its Conceptualization, Measurement and Impact on Consumer Satisfaction

Author

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  • Rijsdijk, S.A.
  • Hultink, E.J.
  • Diamantopoulos, A.

Abstract

In the last decade, companies have developed a large number of intelligent products. Due to the use of information technology, these products, for example, are able to work autonomously, cooperate with other products, or adapt to changing circumstances. Although intelligent products appear an attractive category of products, they have received little attention in the literature. The present article provides a conceptualization of the new construct of product intelligence and describes the development procedure of a measure for the construct. In addition, the article sets up and empirically tests a conceptual framework in which product intelligence leads to consumer satisfaction through the innovation attributes of relative advantage, compatibility, and complexity. Managerial implications for new product development and marketing of intelligent products are considered and suggestions for further research provided.

Suggested Citation

  • Rijsdijk, S.A. & Hultink, E.J. & Diamantopoulos, A., 2007. "Product Intelligence: Its Conceptualization, Measurement and Impact on Consumer Satisfaction," ERIM Report Series Research in Management ERS-2007-006-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    • Handle: RePEc:ems:eureri:8580
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    File URL: https://repub.eur.nl/pub/8580/ERS-2007-006-ORG.pdf
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    1. Folkes, Valerie S, 1984. "Consumer Reactions to Product Failure: An Attributional Approach," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(4), pages 398-409, March.
    2. Abbie Griffin & John R. Hauser, 1993. "The Voice of the Customer," Marketing Science, INFORMS, vol. 12(1), pages 1-27.
    3. Homburg, Christian & Stock, Ruth, 2004. "The Link Between Sales People’s Job Satisfaction and Customer Satisfaction in a Business-to-Business Context: A Dyadic Analysis," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 35550, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Dhebar, Anirudh, 1996. "Information technology and product policy: 'Smart' products," European Management Journal, Elsevier, vol. 14(5), pages 477-485, October.
    5. Jarvis, Cheryl Burke & MacKenzie, Scott B & Podsakoff, Philip M, 2003. "A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(2), pages 199-218, September.
    6. Homburg, Christian & Stock, Ruth, 2004. "The Link between Sales People’s Job Satisfaction and Customer Satisfaction in a Business-to-Business Context: A Dyadic Analysis," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 60486, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    7. Oliver, Richard L, 1993. "Cognitive, Affective, and Attribute BAses of the Satisfaction Response," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(3), pages 418-430, December.
    8. Gregan-Paxton, Jennifer & John, Deborah Roedder, 1997. "Consumer Learning by Analogy: A Model of Internal Knowledge Transfer," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 24(3), pages 266-284, December.
    9. Katz, Michael L & Shapiro, Carl, 1985. "Network Externalities, Competition, and Compatibility," American Economic Review, American Economic Association, vol. 75(3), pages 424-440, June.
    10. Mano, Haim & Oliver, Richard L, 1993. "Assessing the Dimensionality and Structure of the Consumption Experience: Evaluation, Feeling, and Satisfaction," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(3), pages 451-466, December.
    11. Westbrook, Robert A & Oliver, Richard L, 1991. "The Dimensionality of Consumption Emotion Patterns and Consumer Satisfaction," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(1), pages 84-91, June.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Adoption; Innovation; Intelligent products; New product development; Smart products;
    All these keywords.

    JEL classification:

    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • M13 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - New Firms; Startups
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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