James A. Roberts
Ben H. Williams Professor of Marketing
Professional Summary
James Roberts is the Ben H. Williams Professor of Marketing and has been a member of the Department of Marketing at the Hankamer School of Business since 1991. He has published 90 journal articles and two books since joining the department.
Roberts’ research has focused on how individual consumer behavior attitudes and behavior impact personal and collective well-being. His research has investigated the factors that drive ecologically and socially conscious consumer behavior, the impact of materialism and compulsive buying on well-being, and currently, the impact of smartphone and social media use on personal well-being.
Education
- 1991 – PhD, Marketing, University of Nebraska – Lincoln, Lincoln, Nebraska
- 1986 – MBA, St. Cloud State University, St. Cloud, Minnesota
- 1982 – BA, University of St. Thomas, St. Paul, Minnesota
Courses
- MKT 3330 – Marketing Research
Research Interests
- Human – Technology Interaction
- Social Media Use and Well-Being
- Smartphone Addiction
Selected Publications
- Roberts, J. A., & David, M. E. (2022), Partner Phubbing and relationship satisfaction through the lens of social allergy theory, Personality and Individual Differences, 195, 1 – 10.
- Roberts, J. A., & David, M. E. (2022), On the Outside Looking In: Social Media Intensity, Social Connection and User Well-Being: The Moderating Role of Passive Social Media Use, Canadian Journal of Behavioural Sciences.
- Roberts, J. A. & David, M. E. (2021), Investigating the impact of partner phubbing on romantic jealousy and relationship satisfaction: The Moderating role of attachment anxiety, Journal of Social and Personal Relationships.
- Roberts, J. A., & David, M. E. (2019), The social media party: Fear of missing out, social media intensity, connection, and well-being, International Journal of Human-Computer Interaction.
- Roberts, J. A., & David, M. E. (2021), Me, My Smartphone, and I: Development of the Smartphone Orientation Scale (SOS), International Journal of Human-Computer Interaction, DOI: 10.1080/10447318.2021.1990521
