The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.
A multi-stage model of word-of-mouth influence through viral marketing
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cites
Granovetter, M. S. (1973) · American Journal of Sociology · doi:10.1086/225469 · Cited by 40,491
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,670
Birds of a Feather: Homophily in Social Networks
McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001) · Annual Review of Sociology · doi:10.1146/annurev.soc.27.1.415 · Cited by 18,567
Riggins, F. J., & Mitra, S. (1990) · Choice Reviews Online · doi:10.5860/choice.27-6637 · Cited by 16,590
Limited-Dependent and Qualitative Variables in Econometrics
Maddala, G. S. (1983) · Cambridge University Press eBooks · doi:10.1017/cbo9780511810176 · Cited by 13,268
Structural Holes: The Social Structure of Competition
Lazega, E., & Burt, R. S. (1995) · Revue Française de Sociologie · doi:10.2307/3322456 · Cited by 7,983
Customer Loyalty: Toward an Integrated Conceptual Framework
Dick, A. S., & Basu, K. (1994) · Journal of the Academy of Marketing Science · doi:10.1177/0092070394222001 · Cited by 7,137
Stanton, B. F., & Rogers, E. M. (1963) · Journal of Farm Economics · doi:10.2307/1235767 · Cited by 6,726
A Simple Model of Herd Behavior
Banerjee, A. V. (1992) · The Quarterly Journal of Economics · doi:10.2307/2118364 · Cited by 6,556
Milgram, S. (1967) · PsycEXTRA Dataset · doi:10.1037/e400002009-005 · Cited by 5,528
Research works printed but not linked: 3
- Amemiya, 1975, Qualitative models, Annals of Economic and Social Measurement, 4, 363
- Dichter, 1966, How word-of-mouth marketing works, Harvard Business Review, 44, 148
- Whyte, 1954, The web of word of mouth, Vol. 50
Cited by
Sorted by citations
Items 201–300 of 895
Information diffusion through social networks: The case of an online petition
Jalali, M. S., Ashouri, A., Herrera-Restrepo, O., & Hui, Z. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2015.09.014 · Cited by 44
Kermani, M. A. M. A., Ardestani, S. F. F., Aliahmadi, A., & Barzinpour, F. (2016) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2016.09.038 · Cited by 44
Zarouali, B., Poels, K., Walrave, M., & Ponnet, K. S. (2018) · Behaviour and Information Technology · doi:10.1080/0144929x.2018.1458903 · Cited by 44
Li, H., & See-To, E. W. K. (2023) · Journal of Electronic Business & Digital Economics · doi:10.1108/jebde-10-2022-0038 · Cited by 70
Punj, G. (2012) · Marketing Letters · doi:10.1007/s11002-012-9205-2 · Cited by 45
Shamhuyenhanzva, R., van Tonder, E., Roberts-Lombard, M., & Hemsworth, D. (2016) · The International Review of Retail Distribution and Consumer Research · doi:10.1080/09593969.2016.1170065 · Cited by 47
Husnain, M., Qureshi, I., Fatima, T., & Akhtar, M. W. (2016) · Journal of Accounting & Marketing · doi:10.4172/2168-9601.1000190 · Cited by 50
Towards Sustainability in Viral Marketing with User Engaging Supporting Campaigns
Jankowski, J., Zioło, M., Karczmarczyk, A., & Wątróbski, J. (2017) · Sustainability · doi:10.3390/su10010015 · Cited by 42
Mobile word of mouth (m-WOM): analysing its negative impact on webrooming in omnichannel retailing
Flavián, C., Gurrea, R., & Orús, C. (2020) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-05-2020-0169 · Cited by 50
Effects of offering incentives for reviews on trust: Role of review quality and incentive source
Ai, J., Gürsoy, D., Liu, Y., & Lv, X. (2021) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2021.103101 · Cited by 42
Social identity, electronic word-of-mouth and referrals in social network services
Arenas-Gaitán, J., Cataluña, F. J. R., & Ramírez-Correa, P. (2013) · Kybernetes · doi:10.1108/k-04-2013-0081 · Cited by 42
Do microblog postings influence consumer perceptions of retailers' e‐servicescapes?
Tran, G. A., Strutton, D. R., & Taylor, D. G. (2012) · Management Research Review · doi:10.1108/01409171211256217 · Cited by 43
Roy, A., Huh, J., Pfeuffer, A., & Srivastava, J. (2017) · Journal of Advertising · doi:10.1080/00913367.2017.1297272 · Cited by 41
Why the Generalized Bass Model leads to odd optimal advertising policies
Fruchter, G. E., & den Bulte, C. V. (2011) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2011.03.005 · Cited by 41
Customer Referral Reward–Brand–Fit: A Schema Congruity Perspective
Stumpf, C., & Baum, M. (2016) · Psychology & Marketing · doi:10.1002/mar.20896 · Cited by 40
Nasir, M., Adil, M., & Dhamija, A. (2021) · International Journal of Quality and Service Sciences · doi:10.1108/ijqss-01-2021-0015 · Cited by 40
Cheung, V. S. Y., Lo, J. C. Y., Chiu, D. K. W., & Ho, K. K. W. (2022) · Information Discovery and Delivery · doi:10.1108/idd-10-2021-0117 · Cited by 40
COMMUNICATION IN SOCIAL MEDIA FOR BRAND EQUITY BUILDING
Zailskaitė‐Jakštė, L., & Kuvykaitė, R. (2013) · ECONOMICS AND MANAGEMENT · doi:10.5755/j01.em.18.1.4163 · Cited by 49
Investigating the Influence of E-Word-of-Mouth on E-Reputation
Castellano, S., & Dutot, V. (2016) · International Studies of Management and Organization · doi:10.1080/00208825.2017.1241088 · Cited by 57
The effect of service quality and innovation on word of mouth marketing success
Mohtasham, S. S., Sarollahi, S. K., & Hamirazavi, D. (2017) · Eurasian economic review : · doi:10.1007/s40821-017-0080-x · Cited by 40
Reconsidering the “what is beautiful is good” effect
Chaouali, W., Yahia, I. B., Lunardo, R., & Triki, A. (2019) · International Journal of Bank Marketing · doi:10.1108/ijbm-12-2018-0337 · Cited by 54
Kumar, A. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102349 · Cited by 62
Southwell, B. G., Slater, J. S., Rothman, A. J., Friedenberg, L. M., Allison, T. R., & Nelson, C. L. (2010) · Social Science & Medicine · doi:10.1016/j.socscimed.2010.08.009 · Cited by 39
Reichhart, P., Pescher, C., & Spann, M. (2013) · Electronic Markets · doi:10.1007/s12525-013-0129-3 · Cited by 39
How do consumers process online hotel reviews?
Kim, E. E. K., & Lee, C.-H. (2015) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-09-2014-0045 · Cited by 38
Electronic word-of-mouth communities from the perspective of social network analysis
Arenas‐Márquez, F. J., Torres, M. D. R. M., & Toral, S. L. (2014) · Technology Analysis and Strategic Management · doi:10.1080/09537325.2014.923565 · Cited by 38
Probabilistic Diffusion of Social Influence with Incentives
Doo, M., & Liu, L. (2014) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2014.2310216 · Cited by 38
Motivations to engage in word-of-mouth behavior on social network sites
Luarn, P., Huang, P., Chiu, Y., & Chen, I.-J. (2015) · Information Development · doi:10.1177/0266666915596804 · Cited by 41
Chen, R., & Xu, W. X. (2016) · Electronic Commerce Research · doi:10.1007/s10660-016-9243-6 · Cited by 38
Learning from Online Social Ties
Zhang, Y., & Godes, D. (2013) · Marketing Science · doi:10.1287/mksc.2017.1076 · Cited by 37
Stephen, A. T., & Lehmann, D. R. (2008) · SSRN Electronic Journal · doi:10.2139/ssrn.1150996 · Cited by 37
Cost-Effective Social Media Influencer Marketing
Han, X. G., Wang, L., & Fan, W. (2022) · INFORMS journal on computing · doi:10.1287/ijoc.2022.1246 · Cited by 37
Muralidharan, S., & Men, L. R. (2015) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2015.0190 · Cited by 37
Understanding Social Media Peer Communication and Organization–Public Relationships
Men, L. R., & Muralidharan, S. (2016) · Journalism & Mass Communication Quarterly · doi:10.1177/1077699016674187 · Cited by 37
Uncovering the digitalization impact on consumer decision-making for checking accounts in banking
Dehnert, M., & Schumann, J. (2022) · Electronic Markets · doi:10.1007/s12525-022-00524-4 · Cited by 49
Referral campaigns for software startups: The impact of network characteristics on product adoption
Eggers, F., Risselada, H., Niemand, T., & Robledo, S. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.03.007 · Cited by 42
Aghdaie, S. F. A., Sanayei, A., & Etebari, M. (2012) · International Journal of Marketing Studies · doi:10.5539/ijms.v4n6p79 · Cited by 37
Optimal decision making for online referral marketing
Guo, Z. (2011) · Decision Support Systems · doi:10.1016/j.dss.2011.09.004 · Cited by 37
The influence of “Facebook friends” on the intention to join brand pages
Palazón, M. M. C. P. C., Piñero, M. S., & López, M. (2015) · Journal of Product & Brand Management · doi:10.1108/jpbm-08-2014-0696 · Cited by 36
Social media opinion sharing: beyond volume
Cabosky, J. (2016) · Journal of Consumer Marketing · doi:10.1108/jcm-02-2015-1323 · Cited by 36
MajlesiRad, Z., & Shoushtari, A. H. H. P. (2020) · Future Business Journal · doi:10.1186/s43093-020-00025-w · Cited by 36
Modeling the Diffusion of Innovations Through Small-World NetworksPreprint
Shaikh, N. I., Rangaswamy, A., & Balakrishnan, A. (2012) · SSRN Electronic Journal · doi:10.2139/ssrn.2032861 · Cited by 36
Mass communication, social influence, and consumer behavior: two field experiments
Batinic, B., & Appel, M. (2013) · Journal of Applied Social Psychology · doi:10.1111/jasp.12090 · Cited by 37
Scaraboto, D., Rossi, C. A. V., & Costa, D. (2012) · BAR - Brazilian Administration Review · doi:10.1590/s1807-76922012000300002 · Cited by 36
How a branded website creates customer purchase intentions
Chang, K., Hsu, C., Chen, M., & Kuo, N. (2017) · Total Quality Management & Business Excellence · doi:10.1080/14783363.2017.1308819 · Cited by 43
Fayzullaev, K., Cassel, S. H., & Brandt, D. (2018) · Service Industries Journal · doi:10.1080/02642069.2018.1519551 · Cited by 35
Keyzer, F. D., Dens, N., & Pelsmacker, P. D. (2019) · International Journal of Electronic Commerce · doi:10.1080/10864415.2018.1564551 · Cited by 37
Word of mouth and behavioural intentions of the automated bus service
Guo, J. L., Susilo, Y. O., Antoniou, C., & Pernestål, A. (2022) · Cities · doi:10.1016/j.cities.2022.103668 · Cited by 34
High speed rail passenger segmentation and ticketing channel preference
Cheng, Y.-H., & Huang, T.-Y. (2014) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2014.05.006 · Cited by 34
Modeling Choice Interdependence in a Social Network
Wang, J., Aribarg, A., & Atchadé, Y. F. (2013) · Marketing science (Providence, R.I.) · doi:10.1287/mksc.2013.0811 · Cited by 40
Information Overload and Viral Marketing: Countermeasures and Strategies
Cheng, J., Sun, A., & Zeng, D. D. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-12079-4_16 · Cited by 33
The impact of affective and cognitive antecedents on negative word-of-mouth intentions
Dalzotto, D., Basso, K., Costa, C., & Baseggio, H. W. (2016) · The International Review of Retail Distribution and Consumer Research · doi:10.1080/09593969.2016.1157512 · Cited by 34
The impact of engaged users on eWOM of hotel Facebook page
Wang, C., & Kubíčková, M. (2017) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-09-2016-0056 · Cited by 33
de Carvalho, L. V., Azar, S., & Machado, J. C. (2020) · Journal of Marketing Management · doi:10.1080/0267257x.2020.1740293 · Cited by 42
Le, H.-S., Huynh, T.-V., Nguyen, M. H., Tran, H.-A., Pham, T.-T. T., Nguyen, N. T., & Nguyen, V.-H. (2024) · International Journal of Information Management Data Insights · doi:10.1016/j.jjimei.2024.100295 · Cited by 32
Shneor, R., & Flåten, B.-T. (2015) · Palgrave Macmillan UK eBooks · doi:10.1057/9781137479761_11 · Cited by 32
Qin, Y. S., & Men, L. R. (2019) · Public Relations Review · doi:10.1016/j.pubrev.2019.05.016 · Cited by 32
The shadows know me: Exploring the dark side of social media in the healthcare field
Smaldone, F., Ippolito, A., & Ruberto, M. (2019) · European Management Journal · doi:10.1016/j.emj.2019.12.001 · Cited by 34
Moving from Evaluation to Trial: How do SMEs Start Adopting Cloud ERP?
Salim, S. A., Sedera, D., Sawang, S., Alarifi, A. H. E., & Atapattu, M. (2015) · AJIS. Australasian journal of information systems/AJIS. Australian journal of information systems/Australian journal of information systems · doi:10.3127/ajis.v19i0.1030 · Cited by 37
Viswanathan, V., Tillmanns, S., Krafft, M., & Asselmann, D. (2018) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-018-0603-8 · Cited by 30
Marketing viral: Aplicación y tendencias
Duque, P., Cardona, A. T., Carvajal, D. R., & Henao, M. E. C. (2020) · Clío América · doi:10.21676/23897848.3759 · Cited by 31
Chiu, H.-C., Pant, A., Hsieh, Y.-C., Lee, M., Hsioa, Y.-T., & Roan, J. (2014) · European Journal of Marketing · doi:10.1108/ejm-05-2012-0329 · Cited by 33
Corporate Posts and Tweets: Brand Control in Web 2.0
Hartzel, K. S., Mahanes, C. J., Maurer, G. J., Sheldon, J., Trunick, C., & Wilson, S. J. (2011) · Journal of Information & Knowledge Management · doi:10.1142/s0219649211002821 · Cited by 31
Brand-related, Consumer to Consumer, Communication via Social Media
Kapoor, P. S., Jayasimha, K. R., & Sadh, A. (2013) · IIM Kozhikode Society & Management Review · doi:10.1177/2277975213496514 · Cited by 32
THE MECHANISMS OF THE INFLUENCE OF VIRAL MARKETING IN SOCIAL MEDIA
Tomiţa, V., Dăniasă, C.-I., Stuparu, D., & Stanciu, M. (2010) · Economics Management and Financial Markets · Cited by 31
Understanding and predicting individual retweeting behavior: Receiver perspectives
Shi, J., Lai, K. K., Hu, P., & Chen, G. (2017) · Applied Soft Computing · doi:10.1016/j.asoc.2017.08.044 · Cited by 31
Verma, S., Kapoor, D., & Gupta, R. (2024) · British Food Journal · doi:10.1108/bfj-12-2023-1146 · Cited by 42
Purnawirawan, N., Dens, N., & Pelsmacker, P. D. (2014) · Ghent University Academic Bibliography (Ghent University) · Cited by 30
Triggers of positive eWOM: exploration with web analytics
Amed, S., Mukherjee, S., Das, P., & Datta, B. (2019) · Marketing Intelligence & Planning · doi:10.1108/mip-05-2018-0136 · Cited by 33
Field experiments in marketing research: a systematic methodological review
Malodia, S., Dhir, A., Hasni, M. J. S., & Srivastava, S. (2023) · European Journal of Marketing · doi:10.1108/ejm-03-2022-0240 · Cited by 38
Identifying Influencers in Online Social Networks
Zhang, Y., Li, X., & Wang, T. (2013) · International Journal of Intelligent Information Technologies · doi:10.4018/jiit.2013010101 · Cited by 30
Discriminant model for online viral marketing influencing consumers behavioural intention
Haryani, S., & Motwani, B. (2015) · Pacific Science Review B Humanities and Social Sciences · doi:10.1016/j.psrb.2015.12.002 · Cited by 30
Impact of word-of-mouth, job attributes and relationship strength on employer attractiveness
Ahamad, F. (2019) · Management Research Review · doi:10.1108/mrr-11-2017-0382 · Cited by 35
Asada, A., Ko, Y., & Jang, W. (2020) · Journal of Sport Management · doi:10.1123/jsm.2019-0055 · Cited by 26
Rhetoric in customer referencing: Fortifying sales arguments in two start-up companies
Ruokolainen, J., & Aarikka‐Stenroos, L. (2015) · Industrial Marketing Management · doi:10.1016/j.indmarman.2015.08.002 · Cited by 29
Guo, H., Pathak, P., & Cheng, H. K. (2015) · Decision Sciences · doi:10.1111/deci.12118 · Cited by 29
Roy, S. K., Butaney, G. T., Sekhon, H. S., & Butaney, B. (2014) · Journal of Strategic Marketing · doi:10.1080/0965254x.2014.885990 · Cited by 33
Exposing Pinocchio customers: investigating exaggerated service stories
Harris, L. C., Fisk, R. P., & Sysalová, H. (2016) · Journal of service management · doi:10.1108/josm-06-2015-0193 · Cited by 29
A Game-Theoretic Approach for Modeling Competitive Diffusion over Social Networks
Jafari, S., & Navidi, H. (2018) · Games · doi:10.3390/g9010008 · Cited by 28
Steyn, P. G., Wallström, Å., & PITT, L. F. (2010) · Journal of Financial Services Marketing · doi:10.1057/fsm.2010.3 · Cited by 28
You reap where you sow: a trust-based approach to initial seeding for viral advertising
Huh, J., Kim, H., Rath, B., Lu, X., & Srivastava, J. (2020) · International Journal of Advertising · doi:10.1080/02650487.2020.1718823 · Cited by 27
Usefulness, funniness, and coolness votes of viewers
Lee, I. (2018) · Industrial Management & Data Systems · doi:10.1108/imds-04-2017-0151 · Cited by 28
Aksoy, L., Buoye, A., Cooil, B., Keiningham, T., Paul, D., & Volinsky, C. (2011) · Journal of Service Research · doi:10.1177/1094670511404392 · Cited by 22
Kordshouli, H. R., Ebrahimi, A., & Bouzanjani, A. A. (2015) · Iranian journal of management studies · doi:10.22059/ijms.2015.53632 · Cited by 27
Miranda, S., Cunha, P., & Duarte, M. (2019) · Review of Managerial Science · doi:10.1007/s11846-019-00370-3 · Cited by 26
The impact of mobile marketing initiatives on customers’ attitudes and behavioural outcomes
Kushwaha, G. S., & Agrawal, S. R. (2016) · Journal of Research in Interactive Marketing · doi:10.1108/jrim-06-2015-0041 · Cited by 26
Electronic Word of Mouth and Consumer Generated Content
Rodgers, S., & Wang, Y. (2011) · IGI Global eBooks · doi:10.4018/978-1-60566-792-8.ch011 · Cited by 26
Jankowski, J., Bródka, P., & Hamari, J. (2016) · Behaviour and Information Technology · doi:10.1080/0144929x.2016.1212932 · Cited by 26
Jones, A., & Kang, J. (2019) · Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration · doi:10.1002/cjas.1546 · Cited by 31
Chen, Y., Chang, C.-L., & Sung, A.-Q. (2021) · Sustainability · doi:10.3390/su13137486 · Cited by 47
The role of WOM and dynamic capability in B2B transactions
Kim, H. (2014) · Journal of Research in Interactive Marketing · doi:10.1108/jrim-12-2013-0082 · Cited by 29
Matrix Analysis of the Digital Divide in eHealth Services Using Awareness, Want, and Adoption Gap
Liang, T.-H. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.1670 · Cited by 25
The review credibility of electronic word-of-mouth communication on e-commerce platforms
Dj, B., Boshoff, C., & G-J, V. R. (2013) · SUNScholar (Stellenbosch University) · Cited by 25
Anand, A., Agarwal, M., Aggrawal, D., & Singh, O. (2016) · Journal of Advances in Management Research · doi:10.1108/jamr-03-2015-0021 · Cited by 25
van Esch, P., Northey, G., Duffy, S. M., Heller, J., & Striluk, M. (2017) · Journal of Promotion Management · doi:10.1080/10496491.2018.1378300 · Cited by 27
E-mail viral marketing: modeling the determinants of creation of “viral infection”
Sharma, R. R., & Kaur, B. (2019) · Management Decision · doi:10.1108/md-03-2017-0215 · Cited by 27
Guo, J., Li, N., Wu, Y. Q., & Cui, T. (2019) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2019.100828 · Cited by 24
Intentional vs. unintentional influences of social media friends
Sicilia, M., Palazón, M., & López, M. (2020) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2020.100979 · Cited by 23
Viral marketing through e-mail: the link company-consumer
Romero, M. J. M., & Sánchez, C. A. (2013) · Management Decision · doi:10.1108/md-08-2012-0592 · Cited by 24
An impact of online recommendation network on demand
Leem, B., & Chun, H. (2013) · Expert Systems with Applications · doi:10.1016/j.eswa.2013.08.071 · Cited by 24
Metadata
- Authors
- De Bruyn, A., & Lilien, G. L.
- Affiliations
- Pennsylvania State University (US)
- Venue
- International Journal of Research in Marketing
- Publisher
- Elsevier BV
- Published
- 2008-09
- Volume
- 25
- Issue
- 3
- Pages
- 151-163
- ISSN
- 0167-8116 (ISSN-L)
- OpenAlex
- W2139599676
- Cited by
- 906
- References
- 71
- Citations by year
- 2026: 7 · 2025: 34 · 2024: 35 · 2023: 40 · 2022: 50 · 2021: 48 · 2020: 62 · 2019: 73 · 2018: 63 · 2017: 64 · 2016: 81 · 2015: 76 · 2014: 81 · 2013: 76 · 2012: 50
- FWCI
- 70.79
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Research in Marketing (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Social Sciences › Business, Management and Accounting › Marketing › Marketing and Advertising Strategies
- Keywords
- word-of-mouth influence, viral marketing, unsolicited email, purchase decision, social tie strength, demographic similarity, digital marketing, real-time data acquisition
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