The Journal of Public Policy & Marketing is soliciting manuscripts on analytics insights from research on public policy and marketing. Access to large, diverse sets of data has increased exponentially in recent years, due to the growth of digital environments (e.g., websites, online forums, social media, mobile apps, commercial peer-to-peer mutualization systems). In parallel, more sophisticated analytics tools have emerged to extract meaning from these data. Public policy and marketing literature thus can benefit from integrating the precision, generalizability, reliability, and realism offered by analytics research.
For this special issue, we encourage manuscripts that address research questions at the intersection of public policy and marketing by applying unique data sets, new approaches to extracting meaning from data, scholarly approaches to analyzing data, and/or novel data visualization techniques. For example, how might the analytics of large data sets inform policy? Can content analysis reveal new patterns of societal thought for policymakers to consider? Will automation, artificial intelligence, machine learning, and/or deep learning provide solutions to some of the world’s most pressing societal problems? Can field experiments in digital environments (e.g., A/B tests, bandit tests) help policy makers learn new ways to address individual and societal well-being? How might analyses of large-scale, panel data in retail environments inform public policy? Can Bayesian approaches to modeling data inform marketing and public policy issues? This special issue seeks research that applies analytics approaches to data and thereby derives insights that clarify questions of interest to the readers of the Journal of Public Policy & Marketing.
Societal and public policy concerns increasingly arise with the growth of new technologies in the digital world. Some issues are endogenous to the digital arena (e.g., social media addiction, pornography addiction, fake news, gambling, self-image, cyberbullying, discrimination, risks of the sharing economy). Others are physical-world problems that have encroached on the digital space too (e.g., election rigging on Facebook, obesity insights from Uber Eats data, social media listening about adolescent smoking, geographic information systems revealing consumers’ access to firearms retailers). In either case, analytics offers the potential to provide important insights about the problems and opportunities that face modern society. Thus far, analytics approaches have been unfortunately underrepresented in literature pertaining to social problems, policy, and marketing. Therefore, this special issue seeks manuscripts that approach policy and marketing issues using modern analytics techniques. The analytics methodologies should address marketing topics that relate to public policy issues of interest to readers of Journal of Public Policy & Marketing. Public policy and marketing both can benefit from the perspectives that new data analytics approaches offer, particularly through their ability to address the global well-being of consumers and society using large and/or novel data sets.
The substantive topics and scope of the special issue may include, but are not limited to:
- Analytics approaches that can influence attitudes and outcomes related to ideological perspectives or issues
- At-risk and vulnerable populations
- Elections and political positioning and framing
- Environmental sustainability
- Financial well-being
- Food well-being
- Food waste
- Health care
- Maladaptive behavior and addiction
- Multicultural marketplaces
- Poverty, hunger, and economic sustainability
- Product labeling
Submission Requirements and Information
Inquiries can be directed to the special issue co-editors: Brennan Davis (firstname.lastname@example.org), Dhruv Grewal (email@example.com), and Steve Hamilton (firstname.lastname@example.org).
All manuscripts should be submitted here.
The submission window for manuscripts is December 15, 2019 – January 15, 2020