In today's technological landscape, creativity remains a vital engine for organizations, driving innovation and problem-solving. This thesis explores the role of socioeconomic background in shaping Individual Absorptive Capacity in the context of enhancing creativity within AI-driven tasks, focusing on the efficacy of the Chain-of-Thought prompting strategy in users’ Learning Experiences. Additionally, it evaluates how time pressure influences the alignment of prompts with Chain-of-Thought principles and impacts users’ Learning Experiences, by examining the moderating effect of Absorptive Capacity in mitigating the impact of time pressure. Data was collected through a quantitative survey where participants were assessed on their socioeconomic context, their Absorptive Capacity level and their ability to generate prompts consistent with the Chain-of-Thought prompting strategy. A predefined dogmatic prompt following the Chain-of-Thought principles was used to compare the different responses. The results indicate that individuals with higher levels of Absorptive Capacity are more proficient in crafting prompts that align with Chain-of-Thought principles, impacting users’ Learning Experiences. Moreover, participants with an educational background in Social Sciences exhibited notably lower similarity scores to the dogmatic prompt, compared to those with a Business background, underscoring the importance of educational experiences and specializations in shaping individuals' Absorptive Capacity and learning outcomes. The findings regarding the influence of time pressure and the moderating effect of Absorptive Capacity were not statistically significant. Nevertheless, the study supports a significant positive relationship between Absorptive Capacity and prompt similarity with the Chain-ofThought prompting strategy, underscoring the potential of Absorptive Capacity in enhancing users’ Learning Experiences.
Date of Award | 24 Oct 2024 |
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Original language | English |
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Awarding Institution | - Universidade Católica Portuguesa
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Supervisor | Alessio Delpero (Supervisor) & Erik Kommol (Co-Supervisor) |
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- Artificial intelligence
- Chain-of-thought
- Absorptive capacity
- Socioeconomic background
- Learning experience
- Mestrado em Gestão e Administração de Empresas (mestrado internacional)
Conversational AI for idea generation: the role of a user’s socioeconomic background
Oliveira, J. R. F. D. (Student). 24 Oct 2024
Student thesis: Master's Thesis