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Experts-Driven Design: A Framework For Measuring Social Influence In Online Social Networks, Shyamala N. Chalakudi, Dildar Hussain Dr., Gnana Bharathy Dr, Dakshinamurthy Kolluru Dr
Experts-Driven Design: A Framework For Measuring Social Influence In Online Social Networks, Shyamala N. Chalakudi, Dildar Hussain Dr., Gnana Bharathy Dr, Dakshinamurthy Kolluru Dr
Association of Marketing Theory and Practice Proceedings 2024
In our interconnected and ever-changing social landscape, influence is pivotal in molding individuals’ decisions, perspectives, and behaviors. Measuring Social Influence (SI) in Online Social Networks (OSNs) faces significant gaps, notably needing more integration with human behaviors. Our literature review has unveiled twelve psychological theories rooted in human behavior that are fundamental for assessing SI in OSNs. We have further elucidated how human behaviors interact in shaping the influence potential of social media users through exploratory interviews with experts from consulting, industry, and academia. Our study culminated in developing a novel framework designed to encompass the intricacies that not only nurture …
Ai-Assisted Stakeholder Management And Organizational Learning: Evidence From The U.S. Intelligent Service Community, Jiyoon An
Association of Marketing Theory and Practice Proceedings 2024
Artificial intelligence (AI) has changed business practices, including stakeholder management and organizational learning. Scant research attention has been dedicated to examining methodology to implement for workflow-aware and skillset-savvy, AI-assisted stakeholder management. This paper has conducted natural language processing (bigram) and network analysis to understand AI-assisted stakeholder management practices in the U.S. intelligent service community. Theoretical and managerial implications are discussed.