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P. A. Dabholkar, R. P. Bagozzi (2002)
An attitudinal model of technology-based self-service: Moderating effects of consumer traits and situational factorsJournal of the Academy of Marketing Science, 30
K. S. Law, C.-S. Wong, W. M. Mobley (1998)
Toward a taxonomy of multidimensional constructsAcademy of Management Review, 23
D. M. Szymanski, D. H. Henard (2001)
Consumer satisfaction: A meta-analysis of the empirical evidenceJournal of the Academy of Marketing Science, 29
R. L. Oliver (1993)
Cognitive, affective, and attribute bases on the satisfaction responseJournal of Consumer Research, 20
F. Y. Chan, H. M. Khalid (2003)
Is talking to an automated teller machine more natural and fun?Ergonomics, 46
R. T. Watson, L. F. Pitt, P. Berthon, G. M. Zinkhan (2002)
U-commerce: Expanding the universe of marketingJournal of the Academy of Marketing Science, 30
C. Fornell, D. F. Larcker (1981)
Evaluating structural equation models with unobservable variables and measurement errorJournal of Marketing Research, 18
H. Mano, R. L. Oliver (1993)
Assessing the dimensionality and structure of the consumption experience: Evaluation, feeling and satisfactionJournal of Consumer Research, 20
E. M. Rogers (1995)
Diffusion of innovations
J. Gregan-Paxton, D. R. John (1997)
Consumer learning by analogy: A model of internal knowledge transferJournal of Consumer Research, 24
A. Waern (2004)
User involvement in automatic filtering: An experimental studyUser Modeling and User-adapted Interaction, 14
R.T. Watson, P. Berthon, L.F. Pitt, G.M. Zinkhan (2004)
Marketing in the age of the network: From marketplace to u-spaceBusiness Horizons, 47
S. R. Alpert, J. Karat, C. M. Karat, C. Brodie, J. G. Vergo (2003)
User attitudes regarding a user-adaptive ecommerce web siteUser Modeling and User-Adapted Interaction, 13
J. M. Bradshaw (1997)
Software agents
G. M. Zinkhan (2003)
A look to the future of jams: Three years out, thirty years outJournal of the Academy of Marketing Science, 31
D. A. Norman (1998)
The design of everyday things
R. Buurman (1997)
User-centered design of smart productsErgonomics, 40
D. R. Hausknecht (1990)
Measurement scales in consumer satisfaction/dissatisfactionJournal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior, 3
A. Dhebar (1996)
Information technology and product policy: ‘Smart’ productsEuropean Management Journal, 14
P. M. Podsakoff, D. W. Organ (1986)
Self-reports in organizational research: Problems and prospectsJournal of Management, 12
W. D. Dahl, P. Moreau (2002)
The influence and value of analogical thinking during new product ideationJournal of Marketing Research, 34
S. H. Han, M. H. Yun, J. Kwahk, S. W. Hong (2001)
Usability of consumer electronic productsInternational Journal of Industrial Ergonomics, 28
H. S. Nwana, D. T. Ndumu (1997)
Software agents and soft computing: Towards enhancing machine intelligence
S. Bauer, P. Mead (1995)
After you open the box: Making smart products more usable, useful, and desirable through interactive technologyDesign Management Journal, 6
L. Tornatzky, K. J. Klein (1982)
Innovation characteristics and innovation adoption-implementation: A meta-analysis of findingsIEEE Transactions on Engineering Management, 29
J. Vanhamme, D. Snelders (2001)
The role of surprise in satisfaction judgementsJournal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior, 14
M. L. Katz, C. Shapiro (1985)
Network externalities, competition, and compatibilityAmerican Economic Review, 75
R. M. Baron, D. A. Kenny (1986)
The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerationsJournal of Personality and Social Psychology, 51
Y. Gregoire (2003)
The impact of aging on consumer responses: What do we know?Advances in Consumer Research, 30
J. Wirtz, A. Mattila (2001)
Exploring the role of alternative perceived performance measures and needs-congruency in the consumer satisfaction processJournal of Consumer Psychology, 11
C. B. Jarvis, S. B. MacKenzie, P. M. Podsakoff (2003)
A critical review of construct indicators and measurement model misspecification in marketing and consumer researchJournal of Consumer Research, 30
C. R. Plouffe, M. Vandenbosch, J. Hulland (2001)
Intermediating technologies and multi-group adoption: A comparison of consumer and merchant adoption intentions toward a new electronic payment systemJournal of Product Innovation Management, 18
R. A. Spreng, R. W. Olshavsky (1993)
A desires congruency model of consumer satisfactionJournal of the Academy of Marketing Science, 21
J. Cassell, K. R. Thorisson (1999)
The power of a nod and a glance: Envelope vs. emotional feedback in animated conversational agentsApplied Artificial Intelligence, 13
J. K. Burgoon, J. A. Bonito, B. Bengston, C. Cederberg, M. Lundeberg, L. Allspach (2000)
Interactivity in human–computer interaction: A study of credibility, understanding, and influenceComputers in Human Behavior, 16
P. E. Shrout, J. L. Fleiss (1979)
Intraclass correlations: Uses in assessing rater reliabilityPsychological Bulletin, 86
C. Homburg, R. M. Stock (2004)
The link between salespeople’s job satisfaction and customer satisfaction in a business-to-business context: A dyadic analysisJournal of the Academy of Marketing Science, 32
C. Fornell, M. D. Johnson, E. W. Anderson, J. Cha, B. E. Bryant (1996)
The American customer satisfaction index: Nature, purpose, and findingsJournal of Marketing, 60
S. A. Rijsdijk, E. J. Hultink (2003)
Honey, have you seen our hamster? Consumer evaluations of autonomous domestic productsJournal of Product Innovation Management, 20
L. Sproull, M. Subramani, S. Kiesler, J. H. Walker, K. Waters (1996)
When the interface is a faceHuman–Computer Interaction, 11
G. M. Zinkhan (2005)
The marketplace, emerging technology and marketing theoryMarketing Theory, 5
R. G. Cooper, E. J. Kleinschmidt (1987)
New products: What separates winners from losers?Journal of Product Innovation Management, 4
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.
Journal of the Academy of Marketing Science – Springer Journals
Published: May 9, 2007
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