The DOI matches its Crossref record; 115 of the 115 references it cites were found in a registry or an index.
A Thematic Exploration of Digital, Social Media, and Mobile Marketing: Research Evolution from 2000 to 2015 and an Agenda for Future Inquiry
Abstract
Over the past 15 years, digital media platforms have revolutionized marketing, offering new ways to reach, inform, engage, sell to, learn about, and provide service to customers. As a means of taking stock of academic work's ability to contribute to this revolution, this article tracks the changes in scholarly researchers’ perspectives on three major digital, social media, and mobile (DSMM) marketing themes from 2000 to 2015. The authors first use keyword counts from the premier general marketing journals to gain a macro-level view of the shifting importance of various DSMM topics since 2000. They then identify key themes emerging in five-year time frames during this period: (1) DSMM as a facilitator of individual expression, (2) DSMM as decision support tool, and (3) DSMM as a market intelligence source. In both academic research to date and corresponding practitioner discussion, there is much to appreciate. However, there are also several shortcomings of extant research that have limited its relevance and created points of disconnect between academia and practice. Finally, in light of this, an agenda for future research based on emerging research topics is advanced.
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In the citing paper
“D&SMT (e.g.e-commerce, online brand communities, digital advertising tactics, live chat services, mobile services) have since revolutionized the engineering of compelling customer experiences offering new ways to reach, inform, sell to, learn about, and provide service to customers that have an overarching social dimension (Lamberton and Stephen, 2016).”
From Setting the future of digital and social media marketing research: Perspectives and research propositions (2021) · cites this paper as Lamberton and Stephen, 2016
In the citing paper
“Proposition: Digital consumption experience related to branded content positively relate to digital content sharing intentions.”
From Setting the future of digital and social media marketing research: Perspectives and research propositions (2021) · cites this paper as Lamberton and Stephen's (2016)
In the citing paper
“According to Lamberton and Stephen (2016), one of the key features of mobile marketing is to leverage the specific features mobile that can bring additional value to both consumers and marketers.”
From Setting the future of digital and social media marketing research: Perspectives and research propositions (2021) · cites this paper as Lamberton and Stephen (2016)
In the citing paper
“All of these use cases are essentially WOM in one form or another. This, at least, is how marketing scholars have mainly characterized social media, as discussed by Lamberton and Stephen (2016).”
From The future of social media in marketing (2020) · cites this paper as Lamberton and Stephen (2016)
Citations
Cites
Collective dynamics of ‘small-world’ networks
Watts, D. J., & Strogatz, S. H. (1998) · Nature · doi:10.1038/30918 · Cited by 43,060
The Effect of Word of Mouth on Sales: Online Book Reviews
Chevalier, J. A., & Mayzlin, D. (2006) · Journal of Marketing Research · doi:10.1509/jmkr.43.3.345 · Cited by 6,003
Empirical Analysis of Predictive Algorithms for Collaborative FilteringPreprint
Breese, J. S., Heckerman, D. E., & Kadie, C. M. (2013) · arXiv (Cornell University) · doi:10.48550/arxiv.1301.7363 · Cited by 4,768
The Field behind the Screen: Using Netnography for Marketing Research in Online Communities
Kozinets, R. V. (2002) · Journal of Marketing Research · doi:10.1509/jmkr.39.1.61.18935 · Cited by 4,311
The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms
Dellarocas, C. N. (2003) · Management Science · doi:10.1287/mnsc.49.10.1407.17308 · Cited by 3,583
What Makes Online Content Viral?
Berger, J., & Milkman, K. L. (2012) · Journal of Marketing Research · doi:10.1509/jmr.10.0353 · Cited by 3,178 · cited 2×
“Note that both Berger and Milkman (2012) and Toubia and Stephen (2013) included experimental components, whether in the lab or in a fi eld study.”
BackgroundThe Tipping Point: How Little Things Can Make a Big Difference
Meadows-Klue, D. (2004) · Interactive Marketing · doi:10.1057/palgrave.im.4340262 · Cited by 3,064
When choice is demotivating: can one desire too much of a good thing?
Iyengar, S. S., & Lepper, M. R. (2000) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.79.6.995 · Cited by 2,878
Using Online Conversations to Study Word-of-Mouth Communication
Godes, D., & Mayzlin, D. (2004) · Marketing Science · doi:10.1287/mksc.1040.0071 · Cited by 2,601
Frictionless commerce? A comparison of Internet and conventional retailers
Brynjolfsson, E., & Smith, M. D. (2000) · Management Science · doi:10.1287/mnsc.46.4.563.12061 · Cited by 2,498
Trusov, M., Bucklin, R. E., & Pauwels, K. H. (2009) · Journal of Marketing · doi:10.1509/jmkg.73.5.90 · Cited by 2,453
Small worlds: the dynamics of networks between order and randomness
(2000) · Choice Reviews Online · doi:10.5860/choice.37-5722 · Cited by 2,384
Networked Narratives: Understanding Word-of-Mouth Marketing in Online Communities
Kozinets, R. V., Valck, K. D., Wojnicki, A. C., & Wilner, S. J. S. (2010) · Journal of Marketing · doi:10.1509/jm.74.2.71 · Cited by 2,258
de Vries, L., Gensler, S., & Leeflang, P. S. H. (2012) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2012.01.003 · Cited by 2,060
Talk of the Network: A Complex Systems Look at the Underlying Process of Word-of-Mouth
Goldenberg, J., Libai, B., & Muller, E. (2001) · Marketing Letters · doi:10.1023/a:1011122126881 · Cited by 2,044
Adaptive strategy selection in decision making.
Payne, J. W., Bettman, J. R., & Johnson, E. J. (1988) · Journal of Experimental Psychology: Learning, Memory, and Cognition · doi:10.1037/0278-7393.14.3.534 · Cited by 1,955
Influentials, Networks, and Public Opinion Formation
Watts, D. J., & Dodds, P. S. (2007) · Journal of Consumer Research · doi:10.1086/518527 · Cited by 1,864
Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids
Häubl, G., & Trifts, V. (2000) · Marketing Science · doi:10.1287/mksc.19.1.4.15178 · Cited by 1,731
Word of mouth communication within online communities: conceptualizing the online social network
Brown, J., Broderick, A. J., & Lee, N. (2007) · Journal of Interactive Marketing · doi:10.1002/dir.20082 · Cited by 1,661
Exploring the value of online product reviews in forecasting sales: The case of motion pictures
Dellarocas, C. N., Zhang, X., & Awad, N. F. (2007) · Journal of Interactive Marketing · doi:10.1002/dir.20087 · Cited by 1,553
Bart, Y., Shankar, V., Sultan, F., & Urban, G. L. (2005) · Journal of Marketing · doi:10.1509/jmkg.2005.69.4.133 · Cited by 1,482
The Diffusion of an Innovation Among Physicians
Coleman, J., Katz, E., & Menzel, H. (1957) · Sociometry · doi:10.2307/2785979 · Cited by 1,475
Word of mouth and interpersonal communication: A review and directions for future research
Berger, J. (2014) · Journal of Consumer Psychology · doi:10.1016/j.jcps.2014.05.002 · Cited by 1,469
Why are you telling me this? An examination into negative consumer reviews on the Web
Sen, S., & Lerman, D. B. (2007) · Journal of Interactive Marketing · doi:10.1002/dir.20090 · Cited by 1,324
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
We Are What We Post? Self-Presentation in Personal Web Space
Schau, H. J., & Gilly, M. C. (2003) · Journal of Consumer Research · doi:10.1086/378616 · Cited by 1,258
Payne, J. W. (1982) · Psychological Bulletin · doi:10.1037/0033-2909.92.2.382 · Cited by 1,236
Brynjolfsson, E., Hu, Y. J., & Smith, M. D. (2003) · Management Science · doi:10.1287/mnsc.49.11.1580.20580 · Cited by 1,164
From Social to Sale: The Effects of Firm-Generated Content in Social Media on Customer Behavior
Kumar, A., Bezawada, R., Rishika, R., Janakiraman, R., & Kannan, P. K. (2015) · Journal of Marketing · doi:10.1509/jm.14.0249 · Cited by 1,156
Babić Rosario, A., Sotgiu, F., De Valck, K., & Bijmolt, T. H. A. (2016) · Journal of Marketing Research · doi:10.1509/jmr.14.0380 · Cited by 1,073
Flow online: lessons learned and future prospects.
Hoffman, D. L., & Novak, T. P. (2009) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2008.10.003 · Cited by 954
Crowdsourcing New Product Ideas over Time: An Analysis of the Dell IdeaStorm Community
Bayus, B. L. (2012) · Management Science · doi:10.1287/mnsc.1120.1599 · Cited by 951
Deriving Value from Social Commerce Networks
Stephen, A. T., & Toubia, O. (2010) · Journal of Marketing Research · doi:10.1509/jmkr.47.2.215 · Cited by 902
Self-citationSelf-determination: The tyranny of freedom.
Schwartz, B. (2000) · American Psychologist · doi:10.1037/0003-066x.55.1.79 · Cited by 875
Firm-Created Word-of-Mouth Communication: Evidence from a Field Test
Godes, D., & Mayzlin, D. (2009) · Marketing Science · doi:10.1287/mksc.1080.0444 · Cited by 837
Social Networks, Personalized Advertising, and Privacy Controls
Tucker, C. E. (2014) · Journal of Marketing Research · doi:10.1509/jmr.10.0355 · Cited by 829
Tirunillai, S., & Tellis, G. J. (2014) · Journal of Marketing Research · doi:10.1509/jmr.12.0106 · Cited by 807
Strategic Manipulation of Internet Opinion Forums: Implications for Consumers and Firms
Dellarocas, C. N. (2006) · Management Science · doi:10.1287/mnsc.1060.0567 · Cited by 776
Wine Online: Search Costs Affect Competition on Price, Quality, and Distribution
Lynch, J. G., & Dan Ariely, C. (2000) · Marketing Science · doi:10.1287/mksc.19.1.83.15183 · Cited by 732
The role of digital and social media marketing in consumer behavior
Stephen, A. T. (2015) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2015.10.016 · Cited by 728
Self-citationInternet Recommendation Systems
Ansari, A., Essegaier, S., & Kohli, R. (2000) · Journal of Marketing Research · doi:10.1509/jmkr.37.3.363.18779 · Cited by 711
The Role of Hubs in the Adoption Process
Goldenberg, J., Han, S., Lehmann, D. R., & Hong, J. W. (2009) · Springer eBooks · doi:10.1007/978-3-031-88079-7_13 · Cited by 706
Reczek, R. W., Lamberton, C. P., & West, P. (2012) · Journal of Marketing · doi:10.1509/jm.11.0105 · Cited by 687
Self-citationNambisan, S., & Baron, R. A. (2007) · Journal of Interactive Marketing · doi:10.1002/dir.20077 · Cited by 686
An Empirical Analysis of Search Engine Advertising: Sponsored Search in Electronic Markets
Ghose, A., & Yang, S. (2009) · Management Science · doi:10.1287/mnsc.1090.1054 · Cited by 684
Determining Influential Users in Internet Social Networks
Trusov, M., Bodapati, A. V., & Bucklin, R. E. (2010) · Journal of Marketing Research · doi:10.1509/jmkr.47.4.643 · Cited by 650
Network Effects and Personal Influences: The Diffusion of an Online Social Network
Katona, Z., Zubcsek, P. P., & Sárváry, M. (2011) · Journal of Marketing Research · doi:10.1509/jmkr.48.3.425 · Cited by 649
Ghose, A., Ipeirotis, P. G., & Li, B. (2012) · Marketing Science · doi:10.1287/mksc.1110.0700 · Cited by 649
Ansari, A., & Mela, C. F. (2003) · Journal of Marketing Research · doi:10.1509/jmkr.40.2.131.19224 · Cited by 639
Does Chatter Really Matter? Dynamics of User-Generated Content and Stock Performance
Tirunillai, S., & Tellis, G. J. (2011) · Marketing Science · doi:10.1287/mksc.1110.0682 · Cited by 622
Medical Innovation Revisited: Social Contagion versus Marketing Effort
den Bulte, C. V., & Lilien, G. L. (2001) · American Journal of Sociology · doi:10.1086/320819 · Cited by 616
Reactance to Recommendations: When Unsolicited Advice Yields Contrary Responses
Fitzsimons, G. J., & Lehmann, D. R. (2004) · Marketing Science · doi:10.1287/mksc.1030.0033 · Cited by 604
The Effects of Traditional and Social Earned Media on Sales: A Study of a Microlending Marketplace
Stephen, A. T., & Galak, J. (2011) · Journal of Marketing Research · doi:10.1509/jmr.09.0401 · Cited by 601
Self-citationMobile Marketing in the Retailing Environment: Current Insights and Future Research Avenues
Shankar, V., Venkatesh, A., Hofacker, C. F., & Naik, P. A. (2010) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2010.02.006 · Cited by 580
When and How Is the Internet Likely to Decrease Price Competition?
Lal, R., & Sárváry, M. (1999) · Marketing Science · doi:10.1287/mksc.18.4.485 · Cited by 563
Modeling Online Browsing and Path Analysis Using Clickstream Data
Montgomery, A. L., Li, S., Srinivasan, K., & Liechty, J. (2004) · Marketing Science · doi:10.1287/mksc.1040.0073 · Cited by 554
Does Chatter Matter? The Impact of User-Generated Content on Music Sales
Dhar, V., & Chang, E. A. (2009) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2009.07.004 · Cited by 508
A Meta-Analysis of Electronic Word-of-Mouth Elasticity
You, Y., Vadakkepatt, G., & Joshi, A. (2015) · Journal of Marketing · doi:10.1509/jm.14.0169 · Cited by 502
Crafting Integrated Multichannel Retailing Strategies
Zhang, J., Farris, P., Irvin, J., Kushwaha, T., Steenburgh, T. J., & Weitz, B. A. (2010) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2010.02.002 · Cited by 501
Are Close Friends the Enemy? Online Social Networks, Self-Esteem, and Self-Control
Wilcox, K., & Stephen, A. T. (2012) · Journal of Consumer Research · doi:10.1086/668794 · Cited by 500
Self-citationMobile marketing: A synthesis and prognosis
Shankar, V., & Balasubramanian, S. (2009) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2009.02.002 · Cited by 484
Intrinsic vs. Image-Related Utility in Social Media: Why Do People Contribute Content to Twitter?
Toubia, O., & Stephen, A. T. (2013) · Marketing Science · doi:10.1287/mksc.2013.0773 · Cited by 484
Self-citationLovett, M. J., Peres, R., & Shachar, R. (2013) · Journal of Marketing Research · doi:10.1509/jmr.11.0458 · Cited by 484
Price dispersion and differentiation in online travel: An empirical investigation
Clemons, E. K., Hann, I.-H., & Hitt, L. M. (2002) · Management Science · doi:10.1287/mnsc.48.4.534 · Cited by 481
Marketing in Computer-Mediated Environments: Research Synthesis and New Directions
Yadav, M. S., & Pavlou, P. A. (2013) · Journal of Marketing · doi:10.1509/jm.12.0020 · Cited by 480
Modeling the Clickstream: Implications for Web-Based Advertising Efforts
Chatterjee, P., Hoffman, D. L., & Novak, T. P. (2003) · Marketing Science · doi:10.1287/mksc.22.4.520.24906 · Cited by 476
Consumer buying behavior on the Internet: Findings from panel data
Lohse, G. L., Bellman, S., & Johnson, E. J. (2000) · Journal of Interactive Marketing · doi:10.1002/(sici)1520-6653(200024)14:1 · Cited by 450
A Model of Web Site Browsing Behavior Estimated on Clickstream Data
Bucklin, R. E., & Sismeiro, C. (2003) · Journal of Marketing Research · doi:10.1509/jmkr.40.3.249.19241 · Cited by 431
Consumers’ Perceptions of the Assortment Offered in a Grocery Category: The Impact of Item Reduction
Broniarczyk, S. M., Hoyer, W. D., & McAlister, L. M. (1998) · Journal of Marketing Research · doi:10.1177/002224379803500203 · Cited by 429
Structure, Cooperation, and the Flow of Market Information
Frenzen, J., & Nakamoto, K. (1993) · Journal of Consumer Research · doi:10.1086/209355 · Cited by 425
Posting versus Lurking: Communicating in a Multiple Audience Context
Schlosser, A. E. (2005) · Journal of Consumer Research · doi:10.1086/432235 · Cited by 398
Hui, S. K., Inman, J. J., Huang, Y., & Suher, J. (2013) · Journal of Marketing · doi:10.1509/jm.11.0436 · Cited by 371
Mobile Ad Effectiveness: Hyper-Contextual Targeting with Crowdedness
Andrews, M., Luo, X., Fang, Z., & Ghose, A. (2015) · Marketing Science · doi:10.1287/mksc.2015.0905 · Cited by 361
Crafting Integrated Multichannel Retailing StrategiesPreprint
Jie, Z., Farris, P., Kushwaha, T., Irvin, J., Steenburgh, T. J., & Weitz, B. A. (2010) · SSRN Electronic Journal · doi:10.2139/ssrn.1389644 · Cited by 352
Geo-Conquesting: Competitive Locational Targeting of Mobile Promotions
Fong, N. M., Fang, Z., & Luo, X. (2015) · Journal of Marketing Research · doi:10.1509/jmr.14.0229 · Cited by 347
A Comparison of Online and Offline Consumer Brand Loyalty
Danaher, P. J., Wilson, I., & Davis, R. A. (2003) · Marketing Science · doi:10.1287/mksc.22.4.461.24907 · Cited by 346
Interactivity's Unanticipated Consequences for Marketers and Marketing
Deighton, J., & Kornfeld, L. (2009) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2008.10.001 · Cited by 342
Listening in on Social Media: A Joint Model of Sentiment and Venue Format Choice
Schweidel, D. A., & Moe, W. W. (2014) · Journal of Marketing Research · doi:10.1509/jmr.12.0424 · Cited by 323
Bart, Y., Stephen, A. T., & Sárváry, M. (2014) · Journal of Marketing Research · doi:10.1509/jmr.13.0503 · Cited by 322
Self-citationMobile advertising: A framework and research agenda
Grewal, D., Bart, Y., Spann, M., & Zubcsek, P. P. (2016) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2016.03.003 · Cited by 316
Customer profitability analysis: Measurement, concentration, and research directions
Mulhern, F. J. (1999) · Journal of Interactive Marketing · doi:10.1002/(sici)1520-6653(199924)13:1 · Cited by 308
Luo, X., Andrews, M., Fang, Z., & Phang, C. W. (2013) · Management Science · doi:10.1287/mnsc.2013.1836 · Cited by 301
Decomposing the Value of Word-of-Mouth Seeding Programs: Acceleration versus Expansion
Libai, B., Muller, E., & Peres, R. (2012) · Journal of Marketing Research · doi:10.1509/jmr.11.0305 · Cited by 289
An Empirical Analysis of User Content Generation and Usage Behavior on the Mobile Internet
Ghose, A., & Han, S. P. (2011) · Management Science · doi:10.1287/mnsc.1110.1350 · Cited by 282
den Bulte, C. V., & Wuyts, S. (2007) · Cited by 276
Where, When, and how Long: Factors that Influence the Redemption of Mobile Phone Coupons
Danaher, P. J., Smith, M. S., Ranasinghe, K., & Danaher, T. S. (2015) · Journal of Marketing Research · doi:10.1509/jmr.13.0341 · Cited by 274
Srinivasan, S., Rutz, O. J., & Pauwels, K. (2016) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-015-0431-z · Cited by 255
Smart Agents: When Lower Search Costs for Quality Information Increase Price Sensitivity
Diehl, K., Kornish, L. J., & Lynch, J. G. (2003) · Journal of Consumer Research · doi:10.1086/374698 · Cited by 234
A Hierarchical Marketing Communications Model of Online and Offline Media Synergies
Naik, P. A., & Peters, K. (2009) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2009.07.005 · Cited by 233
Social Ties and User-Generated Content: Evidence from an Online Social Network
Shriver, S. K., Nair, H. S., & Hofstetter, R. (2013) · Management Science · doi:10.1287/mnsc.1110.1648 · Cited by 216
On Product-Level Uncertainty and Online Purchase Behavior: An Empirical Analysis
Kim, Y.-S., & Krishnan, R. (2015) · Management Science · doi:10.1287/mnsc.2014.2063 · Cited by 212
Paid Placement: Advertising and Search on the Internet
Chen, Y., & He, C. (2011) · The Economic Journal · doi:10.1111/j.1468-0297.2011.02466.x · Cited by 207
The Race for Sponsored Links: Bidding Patterns for Search Advertising
Katona, Z., & Sárváry, M. (2009) · Marketing Science · doi:10.1287/mksc.1090.0517 · Cited by 178
Wilbur, K. C., & Zhu, Y. (2008) · Marketing Science · doi:10.1287/mksc.1080.0397 · Cited by 166
Television Advertising and Online Shopping
Liaukonytė, J., Teixeira, T. S., & Wilbur, K. C. (2015) · Marketing Science · doi:10.1287/mksc.2014.0899 · Cited by 159
Position Effects in Search Advertising and their Moderators: A Regression Discontinuity Approach
Narayanan, S., & Kalyanam, K. (2015) · Marketing Science · doi:10.1287/mksc.2014.0893 · Cited by 157
A “Position Paradox” in Sponsored Search Auctions
Jerath, K., Ma, L., Park, Y., & Srinivasan, K. (2011) · Marketing Science · doi:10.1287/mksc.1110.0645 · Cited by 145
When Two Rights Make a Wrong: Searching Too Much in Ordered Environments
Diehl, K. (2005) · Journal of Marketing Research · doi:10.1509/jmkr.2005.42.3.313 · Cited by 137
Reflections on the replication corner: In praise of conceptual replications
Lynch, J. G., Bradlow, E. T., Huber, J. C., & Lehmann, D. R. (2015) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2015.09.006 · Cited by 134
Evaluating Promotional Activities in an Online Two-Sided Market of User-Generated Content
Albuquerque, P., Pavlidis, P., Chatow, U., Chen, K., Jamal, Z., Koh, K.-W., & Fitzhugh, A. (2012) · Marketing Science · doi:10.1287/mksc.1110.0685 · Cited by 123
The Little Engines That Could: Modeling the Performance of World Wide Web Search Engines
Bradlow, E. T., & Schmittlein, D. C. (2000) · Marketing Science · doi:10.1287/mksc.19.1.43.15180 · Cited by 120
Leveraging Trends in Online Searches for Product Features in Market Response Modeling
Du, R. Y., Hu, Y., & Damangir, S. (2014) · Journal of Marketing · doi:10.1509/jm.12.0459 · Cited by 118
Auctioning Keywords in Online Search
Chen, J., De, L., & Whinston, A. B. (2009) · Journal of Marketing · doi:10.1509/jmkg.73.4.125 · Cited by 117
The Quest for Content: How User-Generated Links Can Facilitate Online Exploration
Goldenberg, J., Oestreicher-Singer, G., & Reichman, S. (2011) · Journal of Marketing Research · doi:10.1509/jmr.11.0091 · Cited by 111
Television Advertising and Online Word-of-Mouth: An Empirical Investigation of Social TV Activity
Fossen, B. L., & Schweidel, D. A. (2016) · Marketing Science · doi:10.1287/mksc.2016.1002 · Cited by 89
Network Formation and the Structure of the Commercial World Wide Web
Katona, Z., & Sárváry, M. (2008) · Marketing Science · doi:10.1287/mksc.1070.0349 · Cited by 87
Attribution Strategies and Return on Keyword Investment in Paid Search Advertising
Li, H. A., Kannan, P. K., Viswanathan, S., & Pani, A. (2016) · Marketing Science · doi:10.1287/mksc.2016.0987 · Cited by 74
Stephen, A. T., Zubcsek, P. P., & Goldenberg, J. (2015) · Journal of Marketing Research · doi:10.1509/jmr.13.0127 · Cited by 72
Self-citationSocial Media: Enduring Principles
Humphreys, A. (2015) · Cited by 64
Optimal Internet Media Selection
Danaher, P. J., Lee, J., & Kerbache, L. (2009) · Marketing Science · doi:10.1287/mksc.1090.0507 · Cited by 54
Saini, Y. K., & Lynch, J. G. (2016) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2016.02.003 · Cited by 36
Database Submission—Market Dynamics and User-Generated Content About Tablet Computers
Wang, X., Mai, F., & Chiang, R. H. L. (2013) · Marketing Science · doi:10.1287/mksc.2013.0821 · Cited by 32
Television Advertising and Online Search
Joo, M., Wilbur, K. C., Cowgill, B., & Zhu, Y. (2014) · Management Sciences · doi:10.1287/mnsc.2013.1741 · Cited by 20
Some observations on case studies inJournal of Interactive Marketing
Glazer, R. (1999) · Journal of Interactive Marketing · doi:10.1002/(sici)1520-6653(199921)13:2 · Cited by 4
Customer lifetime value: Marketing models and applications
Berger, P. D., & Nasr, N. I. (1998) · Journal of Interactive Marketing · doi:10.1002/(sici)1520-6653(199824)12:1
Flagged first, then by citations
Research works printed but not linked: 12
- AndriochAlicia (2011), “Lessons from the 2011 Mobile Marketing Conference,” Marketing Magazine , 116, 16.
- Beer J., 2010, Marketing Magazine, 115, 13
- ——— (2012) “Experts Predict Big Data, Mobile and Automation to Transform Digital Marketing in 2013,” press release, (December 17), [available at https://www.thestreet.com/story/11794323/1/experts-predict-big-data-mobile-and-automation-to-transform-digital-marketing-in-2013.html].
- CaseTony (2004), “Interactive Quarterly: Growing Up,” Adweek (April 19), [available at http://www.adweek.com/news/advertising-branding/interactive-quarterly-growing-71822].
- Chae Inyoung, 2016, Marketing Science
- 10.1509/jmkg.73.2.1 · DOI · Paper page
- Jakobson Leo, 2005, Incentive, 179, 12
- Ogilvy & Mather (2010), “Ogilvy Digital Labs Hosts Mobile Social Media Battle,” press release, (May 10), [available at http://www.ogilvy.com/News/Press-Releases/May-2010-Ogilvy-Digital-Labs-Hosts-Mobile-Social-Media-Battle.aspx].
- Payne John W., 1993, Individual and Group Decision Making: Current Issues, 19
- PR Newswire (2007), “Survey Reveals Disconnect in Social Media Marketing Programs,” press release (October 30), [available at http://www.prnewswire.com/news-releases/survey-reveals-disconnect-in-social-media-marketing-programs-58962917.html].
- 10.1509/jmkr.45.1.048 · DOI
- Wheaton Ken, 2015, Advertising Age, 86, 3
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“ecommerce, online brand communities, digital advertising tactics, live chat services, mobile services) have since revolutionized the engineering of compelling customer experiences ofering new ways to reach, inform, sell to, learn about, and provide service to customers that have an overarching social dimension (Lamber…”
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“This, at least, is how marketing scholars have mainly characterized social media, as discussed by Lamberton and Stephen (2016).”
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Metadata
- Authors
- Lamberton, C., & Stephen, A. T.
- Affiliations
- University of Pittsburgh (US)
- University of Oxford (GB)
- Corresponding author
- Lamberton, Cait
- Stephen, Andrew T.
- ORCID
- Lamberton, Cait
- Venue
- Journal of Marketing
- Publisher
- SAGE Publications
- Published
- 2016-11
- Volume
- 80
- Issue
- 6
- Pages
- 146-172
- ISSN
- 0022-2429 (ISSN-L)
- 1547-7185
- OpenAlex
- W2465116584
- Cited by
- 1,127
- References
- 115
- Citations by year
- 2026: 105 · 2025: 114 · 2024: 135 · 2023: 141 · 2022: 137 · 2021: 140 · 2020: 112 · 2019: 100 · 2018: 83 · 2017: 50 · 2016: 8
- FWCI
- 229.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Marketing (publishedVersion)
- 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 › Business and International Management › SMEs Development and Digital Marketing
- Keywords
- digital marketing, social media marketing, mobile marketing, research trends, keyword analysis, individual expression, decision support, market intelligence, academia-practice gap, future research agenda
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