Anna Kovbasiuk’s scientific contributions

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Publications (2)


Collaborative AI in the workplace: Enhancing organizational performance through resource-based and task-technology fit perspectives
  • Article
  • Full-text available

December 2024

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141 Reads

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3 Citations

International Journal of Information Management

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Tamilla Triantoro

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Anna Kovbasiuk

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This research examines how artificial intelligence, human capabilities, and task types influence organizational outcomes. By leveraging the frameworks of the Resource-Based View and Task Technology Fit theories, we executed two distinct studies to assess the effectiveness of a generative AI tool in aiding task performance across a spectrum of task complexities and creative demands. The initial study tested the utility of generative AI across diverse tasks and the significance of AI-related skills enhancement. The subsequent study explored interactions between humans and AI, analyzing emotional tone, sentence structure, and word choice. Our results indicate that incorporating AI can significantly improve organizational task performance in areas such as automation, support, creative endeavors, and innovation processes. We also observed that generative AI generally presents more positive sentiment, utilizes simpler language, and has a narrower vocabulary than human counterparts. These insights contribute to a broader understanding of AI's strengths and weaknesses in organizational settings and guide the strategic implementation of AI systems.

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Figure 1. Correlation between the variables
Figure 2. Simple slopes for the quality of persona task for agreeableness and groups
Figure 3. Simple slopes for the intention to use technology for agreeableness and groups
Descriptive statistics for personality traits
Descriptive statistics and student t-test results for traits in AI-assisted vs not AI-assisted groups

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The personality profile of early generative AI adopters: a big five perspective

December 2024

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148 Reads

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1 Citation

Central European Management Journal

Purpose This pilot study aimed to evaluate the impact of the big five personality traits on user engagement with chatbots at the early stages of artificial intelligence (AI) adoption. Design/methodology/approach The pilot study involved 62 participants segmented into two groups to measure variables including engagement duration, task performance and future AI usage intentions. Findings The findings advocate for the incorporation of psychological principles into technology design to facilitate more tailored and efficient human–AI collaboration. Originality/value This pilot research study highlights the relationship between the big five personality traits and chatbot usage and provides valuable insights for customizing chatbot development to align with specific user characteristics. This will serve to enhance both user satisfaction and task productivity.

Citations (2)


... This emulation is often pursued to gain legitimacy and secure additional benefits. With the rapid advancement of AI technology, an increasing number of enterprises are integrating AI with their business operations to revolutionize business practices and achieve superior performance [23]. Consequently, many enterprises are likely to mimic other successful companies in incorporating AI technology into their own operations when faced with market competition. ...

Reference:

Facilitating or Inhibiting: A Study on the Impact of Artificial Intelligence on Corporate Greenwashing
Collaborative AI in the workplace: Enhancing organizational performance through resource-based and task-technology fit perspectives

International Journal of Information Management

... Kovbasiuk et al. [90] found that personality traits significantly influence users' interactions with chatbots. They recommended tailoring artificial intelligence (AI) technologies to better align with user psychological profiles to enhance engagement and improve task performance. ...

The personality profile of early generative AI adopters: a big five perspective

Central European Management Journal