John A. Schibrowsky
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
John A. Schibrowsky has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- James W. Peltier
College of Business and Economics, University of Wisconsin-Whitewater Department of Marketing
2 shared publications - Andrew J. Dahl
College of Business and Economics, University of Wisconsin-Whitewater Department of Marketing
1 shared publication Babu John-Mariadoss
Department of Marketing and Supply Chain Management, Texas Tech University, Lubbock, Texas, USA
1 shared publication- Nadia Pomirleanu
Department of Marketing and International Business, University of Nevada-Las Vegas, Las Vegas, Nevada, USA
1 shared publication Pavan Rao Chennamaneni
Department of Marketing, University of Wisconsin Whitewater, Whitewater, Wisconsin, USA
1 shared publication- Robert H. Collins
Department of Internal Medicine University of Texas Southwestern Medical Center 75390 Dallas TX USA
1 shared publication
Latest Publications
- Top Cited Papers
- 26 July 2023
- Published by Emerald Publishing in Journal of Research in Interactive Marketing
- Vol. 18 (1) , 54-90
Artificial intelligence in interactive marketing: a conceptual framework and research agenda
Purpose: Artificial intelligence (AI) is transforming consumers' experiences and how firms identify, create, nurture and manage interactive marketing relationships. However, most marketers do not have a clear understanding of what AI is and how it may mutually benefit consumers and firms. In this paper, the authors conduct an extensive review of the marketing literature, develop an AI framework for understanding value co-creation in interactive buyer–seller marketing relationships, identify research gaps and offer a future research agenda.Design/methodology/approach: The authors first conduct an extensive literature review in 16 top marketing journals on AI. Based on this review, an AI framework for understanding value co-creation in interactive buyer–seller marketing relationships was conceptualized.Findings: The literature review led to a number of key research findings and summary areas: (1) an historical perspective, (2) definitions and boundaries of AI, (3) AI and interactive marketing, (4) relevant theories in the domain of interactive marketing and (5) synthesizing AI research based on antecedents to AI usage, interactive AI usage contexts and AI-enabled value co-creation outcomes.Originality/value: This is one of the most extensive reviews of AI literature in marketing, including an evaluation of in excess or 300 conceptual and empirical research. Based on the findings, the authors offer a future research agenda, including a visual titled “What is AI in Interactive Marketing? AI design factors, AI core elements & interactive marketing AI usage contexts.”
- 26 July 2023
- Published by Emerald Publishing in Journal of Research in Interactive Marketing
- Vol. 18 (1) , 54-90
Top Cited PapersArtificial intelligence in interactive marketing: a conceptual framework and research agenda
Purpose: Artificial intelligence (AI) is transforming consumers' experiences and how firms identify, create, nurture and manage interactive marketing relationships. However, most marketers do not have a clear understanding of what AI is and how it may mutually benefit consumers and firms. In this paper, the authors conduct an extensive review of the marketing literature, develop an AI framework for understanding value co-creation in interactive buyer–seller marketing relationships, identify research gaps and offer a future research agenda.Design/methodology/approach: The authors first conduct an extensive literature review in 16 top marketing journals on AI. Based on this review, an AI framework for understanding value co-creation in interactive buyer–seller marketing relationships was conceptualized.Findings: The literature review led to a number of key research findings and summary areas: (1) an historical perspective, (2) definitions and boundaries of AI, (3) AI and interactive marketing, (4) relevant theories in the domain of interactive marketing and (5) synthesizing AI research based on antecedents to AI usage, interactive AI usage contexts and AI-enabled value co-creation outcomes.Originality/value: This is one of the most extensive reviews of AI literature in marketing, including an evaluation of in excess or 300 conceptual and empirical research. Based on the findings, the authors offer a future research agenda, including a visual titled “What is AI in Interactive Marketing? AI design factors, AI core elements & interactive marketing AI usage contexts.”
- 16 February 2023
- Published by Emerald Publishing in Journal of Research in Interactive Marketing
- Vol. 17 (5) , 681-697
Building human brands: the role of critical reviews
Purpose: This study evaluates the factors related to the creation of a human brand in the brand inception stage.Design/methodology/approach: Employing content analysis of expert reviews, we establish the role played by valence (positiveness), depth (number of statements) and timing of subjective and objective critical reviews for human brands. To address these issues, we employ generalized estimating equations to model numerical ratings of celebrity reviews evaluating a nascent human brand.Findings: The findings show that subjective reviews have the potential to influence the probability of survival of a human brand in the brand inception period, are increasingly consequential during the inception period stages and are more influential than objective reviews. We also found that the valence of objective reviews can negatively and significantly relate to human brands in their late inception stage.Originality/value: This is the first research to demonstrate the importance of critical reviews in building human brands, with a focus on the first moment of a brand's inception. More importantly, this research enriches our understanding of the larger process of personal brand building as it may emerge over time.
- 16 February 2023
- Published by Emerald Publishing in Journal of Research in Interactive Marketing
- Vol. 17 (5) , 681-697
Building human brands: the role of critical reviews
Purpose: This study evaluates the factors related to the creation of a human brand in the brand inception stage.Design/methodology/approach: Employing content analysis of expert reviews, we establish the role played by valence (positiveness), depth (number of statements) and timing of subjective and objective critical reviews for human brands. To address these issues, we employ generalized estimating equations to model numerical ratings of celebrity reviews evaluating a nascent human brand.Findings: The findings show that subjective reviews have the potential to influence the probability of survival of a human brand in the brand inception period, are increasingly consequential during the inception period stages and are more influential than objective reviews. We also found that the valence of objective reviews can negatively and significantly relate to human brands in their late inception stage.Originality/value: This is the first research to demonstrate the importance of critical reviews in building human brands, with a focus on the first moment of a brand's inception. More importantly, this research enriches our understanding of the larger process of personal brand building as it may emerge over time.
- 1 April 1999
- Published by SAGE Publications in Journal of Marketing Education
- Vol. 21 (1) , 34-43
Bootstrap Benefit Segmentation as an Experiential Learning Activity
This article introduces an experiential learning activity designed to provide business students with an understanding of benefit segmentation, product positioning, and target markets. This “bootstrap benefit segmentation” method can be taught without the need for primary data. It makes benefit segmentation available as a short-term experiential activity that can be accomplished in one or two class meetings or as an assignment prepared outside of the classroom.
- 1 April 1999
- Published by SAGE Publications in Journal of Marketing Education
- Vol. 21 (1) , 34-43
Bootstrap Benefit Segmentation as an Experiential Learning Activity
This article introduces an experiential learning activity designed to provide business students with an understanding of benefit segmentation, product positioning, and target markets. This “bootstrap benefit segmentation” method can be taught without the need for primary data. It makes benefit segmentation available as a short-term experiential activity that can be accomplished in one or two class meetings or as an assignment prepared outside of the classroom.