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Innocent Until Proven Guilty: Suspicion Of Deception In Online Reviews, Maria Petrescu, Philip Kitchen, Costinel Dobre, Selima Ben Mrad, Anca Milovan-Ciuta, Deborah Goldring, Anne Fiedler Apr 2022

Innocent Until Proven Guilty: Suspicion Of Deception In Online Reviews, Maria Petrescu, Philip Kitchen, Costinel Dobre, Selima Ben Mrad, Anca Milovan-Ciuta, Deborah Goldring, Anne Fiedler

Publications

- Purpose: This study formulates a new framework for identifying deception in consumer reviews through the lens of Interpersonal Deception Theory and the Persuasion Knowledge Model. It evaluates variables contributing to consumer intentions to purchase after reading deceptive reviews and proposes deception identification cues to be incorporated into the interpersonal communication theoretical framework.

- Methodology: The first study is qualitative and quantitative, based on sentiment and lexical analysis of 1000 consumer reviews. The second study employs a USA national consumer survey with a PLS-SEM and a Process-based mediation-moderation analysis.

- Findings: The study shows deceptive characteristics that cannot be dissimulated …


Ai-Based Innovation In B2b Marketing: An Interdisciplinary Framework Incorporating Academic And Practitioner Perspectives, Maria Petrescu, Anjala S. Krishen, Sheen Kachen, John T. Gironda Mar 2022

Ai-Based Innovation In B2b Marketing: An Interdisciplinary Framework Incorporating Academic And Practitioner Perspectives, Maria Petrescu, Anjala S. Krishen, Sheen Kachen, John T. Gironda

Publications

Artificial intelligence (AI) rests at the frontier of technology, service, and industry. AI research is helping to reconfigure innovative businesses in the consumer marketplace. This paper addresses existing literature on AI and presents an emergent B2B marketing framework for AI innovation as a cycle of the critical elements identified in cross-functional studies that represent both academic and practitioner strategic orientations. We contextualize the prevalence of AI-based innovation themes by utilizing bibliometric and semantic content analysis methods across two studies and drawing data from two distinct sources, academics, and industry practitioners. Our findings reveal four key analytical components: (1) IT tools …