<b>AI Strategic Orientation and the B2B Social Media Brand Meaning Process: Antecedents, Consequences, and Outcomes</b>

Artificial intelligence (AI) and social media continue to transform how brand meaning is co-created in business-to-business (B2B) contexts. Yet limited research explores brand meaning in the B2B context and research is specifically lacking that examines how firms’ AI strategic orientation influences the brand meaning journey and subsequent co-creation outcomes. Drawing on service-dominant logic, this study develops and tests a model positioning AI strategic vision as a key antecedent to brand partnerships, storytelling-driven brand passion, and co-created brand meaning, which in turn shape social media brand value co-creation and AI value-in-use. Using a sample of 197 B2B marketing professionals, the PLS-SEM results indicate that AI strategic vision significantly influences all three elements of the brand meaning journey and, indirectly, AI value-in-use. Although storytelling emerged as the strongest predictor of co-created brand meaning, it only influenced AI value-in-use through mediated pathways. Combined, these findings position a firm’s strategic vision for AI in a social media marketing context as a strategic enabler of narrative, relational, and symbolic brand-building processes in B2B marketing environments. The current study advances theoretical understanding of AI-enabled co-creation and provides actionable guidance for B2B marketers seeking to align brand meaning strategies with AI and social media capabilities.

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Publication Details

Journal
Journal of Applied Business & Behavioral Sciences
Published
2025-09-02
DOI
https://doi.org/10.63522/101010
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00
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article

AI Strategic Orientation and the B2B Social Media Brand Meaning Process: Antecedents, Consequences, and Outcomes

Andrew J. Dahl, James W. Peltier, Betty Carew
Journal of Applied Business & Behavioral Sciences
Digital Marketing and Social Media
article

AI Strategic Orientation and the B2B Social Media Brand Meaning Process: Antecedents, Consequences, and Outcomes

Andrew J. Dahl, James W. Peltier, Betty Carew
article en

Abstract

Artificial intelligence (AI) and social media continue to transform how brand meaning is co-created in business-to-business (B2B) contexts. Yet limited research explores brand meaning in the B2B context and research is specifically lacking that examines how firms’ AI strategic orientation influences the brand meaning journey and subsequent co-creation outcomes. Drawing on service-dominant logic, this study develops and tests a model positioning AI strategic vision as a key antecedent to brand partnerships, storytelling-driven brand passion, and co-created brand meaning, which in turn shape social media brand value co-creation and AI value-in-use. Using a sample of 197 B2B marketing professionals, the PLS-SEM results indicate that AI strategic vision significantly influences all three elements of the brand meaning journey and, indirectly, AI value-in-use. Although storytelling emerged as the strongest predictor of co-created brand meaning, it only influenced AI value-in-use through mediated pathways. Combined, these findings position a firm’s strategic vision for AI in a social media marketing context as a strategic enabler of narrative, relational, and symbolic brand-building processes in B2B marketing environments. The current study advances theoretical understanding of AI-enabled co-creation and provides actionable guidance for B2B marketers seeking to align brand meaning strategies with AI and social media capabilities.

Journal of Applied Business & Behavioral SciencesVol. 1(2)
University of Wisconsin–Whitewater (US), United BioSource Corporation (United Kingdom) (GB)
Openalex Percentile: Top 69%
Digital Marketing and Social Media
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<b>AI Strategic Orientation and the B2B Social Media Brand Meaning Process: Antecedents, Consequences, and Outcomes</b> — Andrew J. Dahl, James W. Peltier, et al. · Journal of Applied Business & Behavioral Sciences (2025) | TGRS Research Map | TGRS