Artificial intelligence in marketing: A bibliographic perspective

Abstract The concept of artificial intelligence (AI) was born in the mid-twentieth century to describe endeavours in computer science focusing on the simulation of human learning. Since then, advances in computing, data collection and data storage have made AI an increasingly important area for researchers and practitioners across a range of disciplines in business and the social sciences. Despite that, there appears to be very few attempts at cataloging and condensing prior research in this area. As such, this paper uses the VOSViewer data visualizer to determine the major authors in the field and to identify themes and concepts emanating from prior research.

[1]  Yingzi Xu,et al.  AI Customer Service: Task Complexity, Problem-Solving Ability, and Usage Intention , 2020, Australasian Marketing Journal.

[2]  Oded Netzer,et al.  When Words Sweat: Identifying Signals for Loan Default in the Text of Loan Applications , 2019, Journal of Marketing Research.

[3]  M. Pontil,et al.  A Convex Optimization Approach to Modeling Consumer Heterogeneity in Conjoint Estimation , 2007 .

[4]  Tim C. Kietzmann,et al.  Deepfakes: Trick or treat? , 2020, Business Horizons.

[5]  John R. Hauser,et al.  Polyhedral Methods for Adaptive Choice-Based Conjoint Analysis , 2004 .

[6]  D. Moore,et al.  Affect Intensity and the Consumer's Attitude toward High Impact Emotional Advertising Appeals , 1996 .

[7]  Arun Rai,et al.  Explainable AI: from black box to glass box , 2019, Journal of the Academy of Marketing Science.

[8]  David J. Curry,et al.  Prediction in Marketing Using the Support Vector Machine , 2005 .

[9]  Katherine L. Milkman,et al.  What Makes Online Content Viral? , 2012 .

[10]  Imran S. Currim,et al.  A Taxonomy of Consumer Purchase Strategies in a Promotion Intensive Environment , 1991 .

[11]  M. Trusov,et al.  Estimating Aggregate Consumer Preferences from Online Product Reviews , 2010 .

[12]  Giorgos Zacharia,et al.  Generalized robust conjoint estimation , 2005 .

[13]  Beibei Li,et al.  Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowd-Sourced Content , 2011, Mark. Sci..

[14]  T. Evgeniou,et al.  Disjunctions of Conjunctions, Cognitive Simplicity, and Consideration Sets , 2010 .

[15]  Vladimir Vapnik,et al.  Statistical learning theory , 1998 .

[16]  Hon-Kwong Lui,et al.  Machine Learning for Direct Marketing Response Models: Bayesian Networks with Evolutionary Programming , 2006, Manag. Sci..

[17]  Sebastian K. Boell,et al.  On being ‘systematic’ in literature reviews , 2015 .

[18]  Vamsi K. Kanuri,et al.  A Meta-Analysis of Marketing Communication Carryover Effects , 2017 .

[19]  Adrian Micu,et al.  Analyzing user sentiment in social media: Implications for online marketing strategy , 2017 .

[20]  Corinna Cortes,et al.  Support-Vector Networks , 1995, Machine Learning.

[21]  José M. Merigó,et al.  Technological Forecasting , 2019 .

[22]  Michael S. Mulvey,et al.  Quantitative insights from online qualitative data: An example from the health care sector , 2018, Psychology & Marketing.

[23]  Shinobu Kitayama,et al.  Advancing consumer neuroscience , 2014 .

[24]  Dhruv Grewal,et al.  How artificial intelligence will change the future of marketing , 2019, Journal of the Academy of Marketing Science.

[25]  Anne L. Roggeveen,et al.  The Future of Retailing , 2017 .

[26]  Jan Kietzmann,et al.  Artificial intelligence: Building blocks and an innovation typology , 2020 .

[27]  Marina Apaydin,et al.  A Multi-Dimensional Framework of Organizational Innovation: A Systematic Review of the Literature , 2010 .

[28]  J. Stewart Black,et al.  Marketing AI recruitment: The next phase in job application and selection , 2019, Comput. Hum. Behav..

[29]  Ludo Waltman,et al.  Software survey: VOSviewer, a computer program for bibliometric mapping , 2009, Scientometrics.

[30]  Marko Kohtamäki,et al.  Alliance capabilities: A systematic review and future research directions , 2018 .

[31]  Kent B. Monroe,et al.  Meta-analysis: integrating accumulated knowledge , 2018 .

[32]  Sukki Yoon,et al.  Programmatic creative: AI can think but it cannot feel , 2020, Australasian Marketing Journal.

[33]  P. van Esch,et al.  AI-enabled recruiting: What is it and how should a manager use it? , 2020 .

[34]  P. van Esch,et al.  Marketing video-enabled social media as part of your e-recruitment strategy: Stop trying to be trendy , 2018, Journal of Retailing and Consumer Services.

[35]  P. van Esch,et al.  Factors that influence new generation candidates to engage with and complete digital, AI-enabled recruiting , 2019, Business Horizons.

[36]  Igor Aleksander,et al.  Thinking machines: The search for artificial intelligence , 1987 .

[37]  G. Tellis,et al.  Mining Marketing Meaning from Online Chatter: Strategic Brand Analysis of Big Data Using Latent Dirichlet Allocation , 2014 .

[38]  Geoffrey E. Hinton,et al.  Deep Learning , 2015, Nature.

[39]  Matthew E Falagas,et al.  Comparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknesses , 2007, FASEB journal : official publication of the Federation of American Societies for Experimental Biology.

[40]  P. van Esch,et al.  Al-enabled biometrics in recruiting: Insights from marketers for managers , 2020 .

[41]  Witold Pedrycz,et al.  Fifty years of Information Sciences: A bibliometric overview , 2018, Inf. Sci..

[42]  C. Simões,et al.  The evolving role of trade fairs in business: A systematic literature review and a research agenda , 2018, Industrial Marketing Management.

[43]  Emmanuel Mogaji,et al.  The implications of artificial intelligence on the digital marketing of financial services to vulnerable customers , 2020, Australasian Marketing Journal.

[44]  J. Aaker,et al.  Dimensions of Brand Personality , 1997 .

[45]  Jan H. Kietzmann,et al.  Artificial intelligence (AI) and value co-creation in B2B sales: Activities, actors and resources , 2020, Australasian Marketing Journal.

[46]  Garrett P. Sonnier,et al.  A Dynamic Model of the Effect of Online Communications on Firm Sales , 2011, Mark. Sci..