The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The Personal Involvement Inventory: Reduction, Revision, and Application to Advertising
Abstract
The conceptualization of the Personal Involvement Inventory was a context-free measure applicable to involvement with products, with advertisements, and with purchase situations. The empirical work to develop this measure was mainly validated with respect to product categories. This paper extends the construct validation of the PII to involvement with advertisements and also demonstrates that the PII may be reliably reduced from twenty items to ten items. There is some indication the revised PII may then be broken into two subscales representing a cognitive and affective grouping.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A Paradigm for Developing Better Measures of Marketing Constructs
Churchill, G. A. (1979) · Journal of Marketing Research · doi:10.1177/002224377901600110 · Cited by 16,549
The role of involvement in attention and comprehension processes
Celsi, R. L., & Olson, J. C. (1988) · Journal of Consumer Research · doi:10.1086/209158 · Cited by 2,070
Reliability of Nominal Data Based on Qualitative Judgments
Perreault, W. D., & Leigh, L. E. (1989) · Journal of Marketing Research · doi:10.2307/3172601 · Cited by 1,575
Research works printed but not linked: 37
- Allen Chris T., 1987, Cognitive and Affective Responses to Advertising, 327
- 10.1080/00913367.1990.10673198 · DOI · Paper page
- Bentler Peter M., 1980, Psychological Bulletin, 88, 588, 10.1037/0033-2909.88.3.588 · DOI · Paper page
- Bloch Peter H., 1983, Journal of Marketing, 47, 69, 10.2307/1251198 · DOI
- Churchill Gilbert A., 1979, Journal of Marketing Research, 16, 64, 10.2307/3150876 · DOI · Paper page
- Clarke Keith, 1978, Advances in Consumer Research, 5, 313
- Greenwald Anthony G., 1984, Journal of Consumer Research, 11, 581, 10.1086/208994 · DOI · Paper page
- Harman H. H., 1976, Modern Factor Analysis,
- Holbrook Morris B., 1978, Journal of Marketing Research, 15, 545, 10.2307/3150624 · DOI · Paper page
- Hupfer, Nancy and Gardner, David. “Differential Involvement With Products and Issues: An Exploratory Study,”. Proceedings: Association for Consumer Research. Edited by: Gardner, David M. pp.262–269. College Park, MD: Association for Consumer Research.
- Krugman Herbert E., 1962, Public Opinion Quarterly, 26, 626, 10.1086/267132 · DOI
- Krugman Herbert E., 1965, Public Opinion Quarterly, 29, 349, 10.1086/267335 · DOI · Paper page
- Krugman Herbert E., 1967, Public Opinion Quarterly, 30, 583, 10.1086/267457 · DOI · Paper page
- Laczniak Russell N., 1989, Journal of Advertising, 19, 28, 10.1080/00913367.1989.10673149 · DOI
- Laurent Gilles, 1985, Journal of Marketing Research, 22, 41, 10.2307/3151549 · DOI
- Leavitt Clark, 1970, Journal of Applied Psychology, 54, 427, 10.1037/h0029923 · DOI
- 10.1207/s15327906mbr1403_2 · DOI
- Lichtenstein Donald R., 1988, Journal of Consumer Research, 15, 243, 10.1086/209161 · DOI
- Mandler George, 1975, Mind and Emotion
- McGuire William J., 1974, The Uses of Mass Communications: Current Perspectives on Gratification Research, 167
- Munsen Michael J., 1987, Educational and Psychological Measurement, 47, 773, 10.1177/001316448704700331 · DOI
- Murry John P., 1992, Journal of Consumer Research, 18, 441, 10.1086/209272 · DOI
- Nelson James E., 1985, Journal of Marketing, 49, 60, 10.2307/1251176 · DOI
- Nunnally Jum C., 1978, Psychometric Theory,
- Park Whan C., 1986, Advances in Consumer Research, 13, 544
- Petty Richard E., 1981, Advances in Consumer Research, 8, 20
- Schlinger Mary J., 1979, Journal of Advertising Research, 19, 37
- Vaughn Richard, 1980, Journal of Advertising Research, 20, 27
- Vaughn Richard, 1986, Journal of Advertising Research, 57
- Wells William D., 1964, Journal of Marketing, 28, 45, 10.2307/1249570 · DOI
- Wells William D., 1986, Advances in Consumer Research, 13, 9
- Wright Peter, 1973, Journal of Marketing Research, 10, 53, 10.2307/3149409 · DOI · Paper page
- Zaichkowsky Judith Lynne, 1984, Conceptualizing and Measuring the Involvement Construct in Marketing
- Zaichkowsky Judith Lynne, 1985, Journal of Consumer Research, 12, 341, 10.1086/208520 · DOI · Paper page
- 10.1080/00913367.1986.10672999 · DOI
- Zaichkowsky Judith Lynne, 1987, Advances in Consumer Research, 14, 32
- 10.1080/00913367.1989.10673162 · DOI
Cited by
Does Gamification Work? -- A Literature Review of Empirical Studies on Gamification
Hamari, J., Koivisto, J., & Sarsa, H. (2014) · 2014 47th Hawaii International Conference on System Sciences · doi:10.1109/hicss.2014.377 · Cited by 5,201
Consumer Brand Engagement in Social Media: Conceptualization, Scale Development and Validation
Hollebeek, L. D., Glynn, M. S., & Brodie, R. J. (2014) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2013.12.002 · Cited by 3,276
Measuring the hedonic and utilitarian dimensions of consumer attitude
Voss, K. E., Spangenberg, E. R., & Grohmann, B. (2003) · Journal of Marketing Research · doi:10.1509/jmkr.40.3.310.19238 · Cited by 2,151
The relationship between materialism and personal well-being: A meta-analysis
Dittmar, H., Bond, R., Hurst, M., & Kasser, T. (2014) · Journal of Personality and Social Psychology · doi:10.1037/a0037409 · Cited by 890
“Representative measures: Risk Behaviour Index–5 items on tobacco, alcohol, and drug use (Williams, Cox, Hedberg, & Deci, 2000); Personal Involvement Index–items on alcohol, tobacco, and drug use (Zaichkowsky, 1994); Risky Behavior Questionnaire for Adolescents (Auerbach et al.”
Demographic differences in perceived benefits from gamification
Koivisto, J., & Hamari, J. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.03.007 · Cited by 841
Customer engagement with tourism social media brands
Harrigan, P., Evers, U., Miles, M., & Daly, T. (2017) · Tourism Management · doi:10.1016/j.tourman.2016.09.015 · Cited by 813
Factors affecting YouTube influencer marketing credibility: a heuristic-systematic model
Xiao, M., Wang, R., & Chan-Olmsted, S. (2018) · Journal of Media Business Studies · doi:10.1080/16522354.2018.1501146 · Cited by 497
Switching barriers in consumer markets: an investigation of the financial services industry
Colgate, M., & Lang, B. (2001) · Journal of Consumer Marketing · doi:10.1108/07363760110393001 · Cited by 457
Hwang, J., & Griffiths, M. A. (2017) · Journal of Consumer Marketing · doi:10.1108/jcm-10-2015-1560 · Cited by 288
Kim, D., & Benbasat, I. (2006) · Information Systems Research · doi:10.1287/isre.1060.0093 · Cited by 239
Planning and Conducting Experimental Advertising Research and Questionnaire Design
Geuens, M., & De Pelsmacker, P. (2017) · Journal of Advertising · doi:10.1080/00913367.2016.1225233 · Cited by 234
Gao, Q., & Feng, C. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.06.022 · Cited by 219
Hayes, J. L., Brinson, N. H., Bott, G. J., & Moeller, C. M. (2021) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2021.01.001 · Cited by 180
Relating the food involvement scale to demographic variables, food choice and other constructs
Marshall, D., & Bell, R. (2004) · Food Quality and Preference · doi:10.1016/j.foodqual.2004.06.003 · Cited by 138
Multi-dimensional analysis of perceived switching costs
Barroso, C., & Picón, A. (2012) · Industrial Marketing Management · doi:10.1016/j.indmarman.2011.06.020 · Cited by 122
Kelders, S. M., Bohlmeijer, E. T., Pots, W. T. M., & van Gemert-Pijnen, J. E. W. C. (2015) · Behaviour Research and Therapy · doi:10.1016/j.brat.2015.06.014 · Cited by 105
Kim, K., & Kim, J. (2011) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2010.09.003 · Cited by 97
Gupta, P., Yadav, M. S., & Varadarajan, R. (2009) · Journal of Retailing · doi:10.1016/j.jretai.2009.02.001 · Cited by 96
Responding to a Health Crisis on Facebook: The Effects of Response Timing and Message Appeal
Huang, Y., & DiStaso, M. (2020) · Public Relations Review · doi:10.1016/j.pubrev.2020.101909 · Cited by 63
Curbing shopping cart abandonment in C2C markets — an uncertainty reduction approach
Tang, H., & Lin, X. (2019) · Electronic Markets · doi:10.1007/s12525-018-0313-6 · Cited by 56
The effect of online social network characteristics on consumer purchasing intention of social deals
Park, M.-S., Shin, J.-K., & Ju, Y. (2014) · Global Economic Review · doi:10.1080/1226508x.2014.884047 · Cited by 48
Kip, H., Kelders, S. M., Bouman, Y. H. A., & van Gemert-Pijnen, L. J. E. W. C. (2019) · Journal of Medical Internet Research · doi:10.2196/12972 · Cited by 40
Conceptualizing vacation dedication
Ring, A., Yanamandram, V., Gretzel, U., & Dolnicar, S. (2020) · Current Issues in Tourism · doi:10.1080/13683500.2019.1678572 · Cited by 34
Understanding adherence to web-based interventions
Kelders, S. M. (2012) · doi:10.3990/1.9789036534178 · Cited by 29
Tsai, C.-W. (2014) · Interactive Learning Environments · doi:10.1080/10494820.2012.745422 · Cited by 24
Kip, H., Kelders, S. M., & Van Gemert-Pijnen, L. J. E. W. C. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300365 · Cited by 11
Li, Z., & Shi, Z. (2026) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2025.2584725 · Cited by 9
Metadata
- Authors
- Zaichkowsky, J. L.
- Venue
- Journal of Advertising
- Publisher
- Informa UK Limited
- Published
- 1994-12
- Volume
- 23
- Issue
- 4
- Pages
- 59-70
- ISSN
- 0091-3367 (ISSN-L)
- 1557-7805
- OpenAlex
- W2093022235
- Cited by
- 1,728
- References
- 3
- FWCI
- 16.49
- Type
- journal article
- Language
- en
- Open access
- closed
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.