The DOI matches its Crossref record; 88 of the 93 references it cites were found in a registry or an index.
Can data-driven precision marketing promote user ad clicks? Evidence from advertising in WeChat moments
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“On the one hand, in most cases, ad relevance increases the potential to capture users' attention and produce the desired conversions.”
From Computer Estimation of Customer Similarity With Facebook Lookalikes: Advantages and Disadvantages of Hyper-Targeting (2019) · cites this paper as [70]
In the citing paper
“On the one hand, in most cases, ad relevance increases the potential to capture users' attention and produce the desired conversions.”
From Computer Estimation of Customer Similarity With Facebook Lookalikes: Advantages and Disadvantages of Hyper-Targeting (2019) · cites this paper as [69]
Citations
Cites
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194
(2013) · Cited by 44,563
Herne, H., Cooley, W. W., & Lohnes, P. R. (1973) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2344428 · Cited by 35,801
On the Evaluation of Structural Equation Models
Bagozzi, R. P., & Yi, Y. (1988) · Journal of the Academy of Marketing Science · doi:10.1007/bf02723327 · Cited by 26,163
Einax, J. W., Zwanziger, H. W., & Geiß, S. (1997) · Wiley eBooks · doi:10.1002/352760216x.ch5 · Cited by 18,779
Self-Reports in Organizational Research: Problems and Prospects
Podsakoff, P. M., & Organ, D. W. (1986) · Journal of Management · doi:10.1177/014920638601200408 · Cited by 17,102
Estimating Nonresponse Bias in Mail Surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.2307/3150783 · Cited by 12,222
An integrative model of organizational trust
Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995) · The Academy of Management Review · doi:10.2307/258792 · Cited by 10,736
Estimating nonresponse bias in mail surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.1177/002224377701400320 · Cited by 10,390
Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value
Babin, B. J., Darden, W. R., & Griffin, M. (1994) · Journal of Consumer Research · doi:10.1086/209376 · Cited by 6,020
Toward a Psychology of Human Agency
Bandura, A. (2006) · Perspectives on Psychological Science · doi:10.1111/j.1745-6916.2006.00011.x · Cited by 3,459
Pavlou, P. A., Liang, H., & Xue, Y. (2007) · MIS Quarterly · doi:10.2307/25148783 · Cited by 2,646
A trust model for consumer Internet shopping
Lee, M. K. O., & Turban, E. (2001) · International Journal of Electronic Commerce · doi:10.1080/10864415.2001.11044227 · Cited by 2,012
Westin, A. F. (1967) · Cited by 1,908
Information Privacy Concerns, Procedural Fairness, and Impersonal Trust: An Empirical Investigation
Culnan, M. J., & Armstrong, P. K. (1999) · Organization Science · doi:10.1287/orsc.10.1.104 · Cited by 1,870
Measuring e-Commerce Success: Applying the DeLone & McLean Information Systems Success Model
DeLone, W. H., & McLean, E. R. (2004) · International Journal of Electronic Commerce · doi:10.1080/10864415.2004.11044317 · Cited by 1,484
Factors influencing the usage of websites: the case of a generic portal in The Netherlands
van der Heijden, H. (2003) · Information & Management · doi:10.1016/s0378-7206(02)00079-4 · Cited by 1,465
Marketing Analytics for Data-Rich Environments
Wedel, M., & Kannan, P. K. (2016) · Journal of Marketing · doi:10.1509/jm.15.0413 · Cited by 1,261
Extrinsic and Intrinsic Cue Effects on Perceptions of Store Brand Quality
Richardson, P. S., Dick, A. S., & Jain, A. K. (1994) · Journal of Marketing · doi:10.2307/1251914 · Cited by 1,198
Schlosser, A. E., White, T. B., & Lloyd, S. M. (2006) · Journal of Marketing · doi:10.1509/jmkg.70.2.133 · Cited by 947
Aguirre, E., Mahr, D., Grewal, D., de Ruyter, K., & Wetzels, M. (2015) · Journal of Retailing · doi:10.1016/j.jretai.2014.09.005 · Cited by 868
Social Networks, Personalized Advertising, and Privacy Controls
Tucker, C. E. (2014) · Journal of Marketing Research · doi:10.1509/jmr.10.0355 · Cited by 829
Ha, H.-Y., & Perks, H. (2005) · Journal of Consumer Behaviour · doi:10.1002/cb.29 · Cited by 750
Bilgihan, A. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.03.014 · Cited by 665
Laroche, M., Kim, C., & Zhou, L. (1996) · Journal of Business Research · doi:10.1016/0148-2963(96)00056-2 · Cited by 638
Personalized Online Advertising Effectiveness: The Interplay of What, When, and Where
Bleier, A., & Eisenbeiß, M. (2015) · Marketing Science · doi:10.1287/mksc.2015.0930 · Cited by 562
The Importance of Trust for Personalized Online Advertising
Bleier, A., & Eisenbeiss, M. (2015) · Journal of Retailing · doi:10.1016/j.jretai.2015.04.001 · Cited by 529
When Does Retargeting Work? Information Specificity in Online Advertising
Lambrecht, A., & Tucker, C. E. (2013) · Journal of Marketing Research · doi:10.1509/jmr.11.0503 · Cited by 512
A Research Agenda for Trust in Online Environments
Gefen, D., Benbasat, I., & Pavlou, P. (2008) · Journal of Management Information Systems · doi:10.2753/mis0742-1222240411 · Cited by 482
Factors influencing Internet shopping value and customer repurchase intention
Kim, C., Galliers, R. D., Shin, N., Ryoo, J., & Kim, J. (2012) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2012.04.002 · Cited by 471
Modelling and testing consumer trust dimensions in e-commerce.
Oliveira, T., Alhinho, M., Rita, P., & Dhillon, G. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.01.050 · Cited by 464
Social media and human need satisfaction: Implications for social media marketing
Zhu, Y.-Q., & Chen, H.-G. (2015) · Business Horizons · doi:10.1016/j.bushor.2015.01.006 · Cited by 437
Trust production and privacy concerns on the Internet
Luo, X. (2002) · Industrial Marketing Management · doi:10.1016/s0019-8501(01)00182-1 · Cited by 434
Context, Cognition, and Common Method Variance: Psychometric and Verbal Protocol Evidence
Harrison, D. A., McLaughlin, M. E., & Coalter, T. M. (1996) · Organizational Behavior and Human Decision Processes · doi:10.1006/obhd.1996.0103 · Cited by 429
Kehr, F., Kowatsch, T., Wentzel, D., & Fleisch, E. (2015) · Information Systems Journal · doi:10.1111/isj.12062 · Cited by 410
Intrinsic versus extrinsic cues as determinants of perceived product quality.
Szybillo, G. J., & Jacoby, J. (1974) · Journal of Applied Psychology · doi:10.1037/h0035796 · Cited by 403
Simple and Scalable Response Prediction for Display Advertising
Chapelle, O., Manavoglu, E., & Rosales, R. (2014) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/2532128 · Cited by 392
Getting Too Personal: Reactance to Highly Personalized Email Solicitations
White, T. B., Zahay, D. L., Thorbjørnsen, H., & Shavitt, S. (2008) · Marketing Letters · doi:10.1007/s11002-007-9027-9 · Cited by 365
Airbnb: Online targeted advertising, sense of power, and consumer decisions
Liu, S. Q., & Mattila, A. S. (2016) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2016.09.012 · Cited by 308
Hong, I. B. (2015) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2015.01.003 · Cited by 301
Jung, A.-R. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.01.008 · Cited by 289
Gibson, B. (2008) · Journal of Consumer Research · doi:10.1086/527341 · Cited by 275
Trust and customer willingness to provide information in database-driven relationship marketing
Schoenbachler, D. D., & Gordon, G. L. (2002) · Journal of Interactive Marketing · doi:10.1002/dir.10033 · Cited by 246
Miltgen, C. L., & Peyrat‐Guillard, D. (2013) · European Journal of Information Systems · doi:10.1057/ejis.2013.17 · Cited by 241
Smit, E. G., Van Noort, G., & Voorveld, H. A. M. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2013.11.008 · Cited by 238
Building trust online: Interactions among trust building mechanisms
Chang, M. K., Cheung, W., & Tang, M. (2013) · Information & Management · doi:10.1016/j.im.2013.06.003 · Cited by 231
Verhagen, T., Feldberg, F., van den Hooff, B., Meents, S., & Merikivi, J. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2011.10.020 · Cited by 200
Relational selling: Past, present and future
Arli, D. I., Bauer, C., & Palmatier, R. W. (2017) · Industrial Marketing Management · doi:10.1016/j.indmarman.2017.07.018 · Cited by 199
Zhang, J., & Mao, E. (2016) · Psychology and Marketing · doi:10.1002/mar.20862 · Cited by 197
Internet advertising effectiveness: The effect of design on click-through rates for banner ads
Robinson, H., Wysocka, A., & Hand, C. (2007) · International Journal of Advertising · doi:10.1080/02650487.2007.11073031 · Cited by 197
Cheung, M. F. Y., & To, W. M. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.07.011 · Cited by 196
Nowak, G. J., & Phelps, J. E. (1997) · Journal of Direct Marketing · doi:10.1002/(sici)1522-7138(199723)11:4 · Cited by 189
Understanding privacy concerns
Nowak, G. J., & Phelps, J. E. (1992) · Journal of Direct Marketing · doi:10.1002/dir.4000060407 · Cited by 178
How Mobile Advertising Works: The Role of Trust in Improving Attitudes and Recall
Okazaki, S., Katsukura, A., & Nishiyama, M. (2007) · Journal of Advertising Research · doi:10.2501/s0021849907070195 · Cited by 163
Assessing the Effects of Animation in Online Banner Advertising
Yoo, C. Y., Kim, K., & Stout, P. A. (2004) · Journal of Interactive Advertising · doi:10.1080/15252019.2004.10722087 · Cited by 159
Big Data and Data Analytics Research
Lytras, M. D., Raghavan, V. V., & Damiani, E. (2016) · International Journal on Semantic Web and Information Systems · doi:10.4018/ijswis.2017010101 · Cited by 156
Direct marketing on the internet: An empirical assessment of consumer attitudes
Mehta, R., & Sivadas, E. (1995) · Journal of Direct Marketing · doi:10.1002/dir.4000090305 · Cited by 151
Interactive, direct and digital marketing
Stone, M., & Woodcock, N. (2014) · Journal of Research in Interactive Marketing · doi:10.1108/jrim-07-2013-0046 · Cited by 129
Hardesty, D. M., Carlson, J. P., & Bearden, W. (2002) · Journal of Advertising · doi:10.1080/00913367.2002.10673663 · Cited by 126
Like or dislike? Adolescents’ responses to personalized social network site advertising
Walrave, M., Poels, K., Antheunis, M. L., Van den Broeck, E., & van Noort, G. (2018) · Journal of Marketing Communications · doi:10.1080/13527266.2016.1182938 · Cited by 112
Nowak, G. J., & Phelps, J. E. (1995) · Journal of Direct Marketing · doi:10.1002/dir.4000090307 · Cited by 106
A decision-making framework for precision marketing
You, Z., Si, Y., Zhang, D., Zeng, X., Leung, S. C. H., & Li, T. (2014) · Expert Systems with Applications · doi:10.1016/j.eswa.2014.12.022 · Cited by 106
Portraying the Cause Instead of the Brand in Cause-Related Marketing ADS: Does it Really Matter?
Lafferty, B. A., & Edmondson, D. R. (2009) · The Journal of Marketing Theory and Practice · doi:10.2753/mtp1069-6679170203 · Cited by 100
Kim, K., & Kim, J. (2011) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2010.09.003 · Cited by 97
Examining the Success of Websites beyond E-Commerce: An Extension of the is Success Model
Schaupp, L. C., Bélanger, F., & Fan, W. (2009) · Journal of Computer Information Systems · doi:10.1080/08874417.2009.11645339 · Cited by 89
Drossos, D. A., Kokkinaki, F., Giaglis, G. M., & Fouskas, K. G. (2014) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2014.08.003 · Cited by 85
Kukar‐Kinney, M., & Xia, L. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2017.06.012 · Cited by 79
Effects beyond click-through: Incidental exposure to web advertising
Yoo, C. (2009) · Journal of Marketing Communications · doi:10.1080/13527260802176419 · Cited by 71
Higher education brand alliances: Investigating consumers' dual-degree purchase intentions
Naidoo, V., & Hollebeek, L. D. (2016) · Journal of Business Research · doi:10.1016/j.jbusres.2016.01.027 · Cited by 69
Advertising: Strong Force or Weak Force? Two Views an Ocean Apart
Jones, J. P. (1990) · International Journal of Advertising · doi:10.1080/02650487.1990.11107151 · Cited by 67
Kwon, S., Ha, S., & Kowal, C. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.04.051 · Cited by 57
Trust in Different Advertising Media
Soh, H., Reid, L. N., & King, K. W. (2007) · Journalism & Mass Communication Quarterly · doi:10.1177/107769900708400304 · Cited by 56
The games people play: How the entertainment value of online ads helps or harms persuasion
Jung, J. M., Min, K. S., & Kellaris, J. J. (2011) · Psychology and Marketing · doi:10.1002/mar.20406 · Cited by 54
Perceived globalness and localness in B2B brands: A co-branding perspective
Mohan, M., Brown, B. P., Sichtmann, C., & Schoefer, K. (2018) · Industrial Marketing Management · doi:10.1016/j.indmarman.2018.03.014 · Cited by 53
Yoo, C. Y. (2009) · Journalism & Mass Communication Quarterly · doi:10.1177/107769900908600209 · Cited by 46
Verhellen, Y., Dens, N., & Pelsmacker, P. D. (2015) · Marketing Letters · doi:10.1007/s11002-015-9347-0 · Cited by 43
Yoo, S., & Eastin, M. S. (2016) · Journal of Marketing Communications · doi:10.1080/13527266.2016.1155074 · Cited by 36
Precision Marketing: The New Rules for Attracting, Retaining, and Leveraging Profitable Customers
Zabin, J., & Brebach, G. (2004) · Thammasat University Digital Collections · Cited by 36
The Relative Importance of Different Trust Constructs for Sellers in the Online World
Schoder, D., & Haenlein, M. (2004) · Electronic Markets · doi:10.1080/1019678042000175298 · Cited by 24
Effects of Interestingness on Evaluations of TV Commercials
Alwitt, L. F. (2000) · Journal of Current Issues & Research in Advertising · doi:10.1080/10641734.2000.10505100 · Cited by 22
Idemudia, E. C., & Jones, D. R. (2015) · International Journal of Information Systems and Management · doi:10.1504/ijisam.2015.072302 · Cited by 21
Zarouali, B., Poels, K., Walrave, M., & Ponnet, K. S. (2018) · International Journal of Advertising · doi:10.1080/02650487.2017.1419416 · Cited by 12
Research on precision marketing data source system based on big data
Zhao, S., & Ma, J. (2017) · International Journal of Advanced Media and Communication · doi:10.1504/ijamc.2017.085933 · Cited by 12
Yu, C., Yu, T., & Cheng, Y.-S. (2012) · International Journal of Digital Content Technology and its Applications · doi:10.4156/jdcta.vol6.issue3.29 · Cited by 6
Self-citationResearch on precision marketing data source system based on big data
Ma, J., & Zhao, S. (2017) · International Journal of Advanced Media and Communication · doi:10.1504/ijamc.2017.10006888 · Cited by 6
Research works printed but not linked: 5
- Lee, 2012, A study on user perceptions and user behavior of an online federated search system, Journal of Educational Media and Library Science, 49, 369
- Tsai, 2012, Vol. 143, 471
- Westin, 1967, Vol. 1
- Yanes, 2017, How WeChat has changed the face of marketing in China, British Journal of Marketing Studies, 5, 14
- Zabin, 2004, Vol. 2004, 24
Cited by
Sorted by citations
AI-powered marketing: What, where, and how?
Kumar, V., Ashraf, A. R., & Nadeem, W. (2024) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2024.102783 · Cited by 509
Zhang, M., Liu, Y., Wang, Y., & Zhao, L. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.107052 · Cited by 529
Saura, J. R., Soriano, D. R., & Palacios‐Marqués, D. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102331 · Cited by 234
Artificial intelligence consumer behavior: A hybrid review and research agenda
Jain, V., Wadhwani, K., & Eastman, J. K. (2023) · Journal of Consumer Behaviour · doi:10.1002/cb.2233 · Cited by 238
Wang, G., Tan, G. W., Yuan, Y.-P., Ooi, K., & Dwivedi, Y. K. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.121345 · Cited by 188
Metadata
- Authors
- Yu, C., Zhang, Z., Lin, C., & Wu, Y. J.
- Affiliations
- South China University of Technology (CN)
- Huaqiao University (CN)
- National Taiwan Normal University (TW)
- Corresponding author
- Wu, Yenchun Jim
- Venue
- Industrial Marketing Management
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 90
- Pages
- 481-492
- ISSN
- 0019-8501 (ISSN-L)
- OpenAlex
- W2946708860
- Cited by
- 124
- References
- 93
- Citations by year
- 2026: 13 · 2025: 19 · 2024: 19 · 2023: 18 · 2022: 17 · 2021: 21 · 2020: 15
- FWCI
- 27.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Industrial Marketing Management (publishedVersion)
- Funders
- Ministry of Science and Technology, Taiwan (106-2511-S-003-029-MY3)
- National Office for Philosophy and Social Sciences (18CGL014)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
- Social Sciences › Business, Management and Accounting › Marketing › Marketing and Advertising Strategies
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
- Keywords
- precision marketing, WeChat Moments, cue utilization theory, product involvement, brand familiarity, visual appeal, information quality, trust, privacy concerns, consumer perception
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