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The Impact of AI-Assisted Secretarial Services Through the Lens of Fluid Reality Theory: Toward Adaptive Administrative Ecosystems in Higher Education

In: Entrepreneurship and Human-Centric Business Strategies for Social and Economic Resilience

Author

Listed:
  • Alexander Hait

    (Gaia College
    Jerusalem College of Technology)

Abstract

Purpose: This study examines the transformative impact of artificial intelligence integration in university secretarial services through the theoretical framework of Fluid Reality Theory, investigating how AI-assisted administrative systems create adaptive organizational ecosystems that enhance student satisfaction and institutional effectiveness. Objectives: The research aims to evaluate the effectiveness of AI-assisted secretarial services in improving student satisfaction scores, reducing administrative stress levels, and enhancing retention rates while exploring the theoretical implications through Ariel Fuchs’ Fluid Reality Theory framework. Methodology: A mixed-methods approach was employed involving a controlled experimental design conducted over 12 months at Gaia College. Quantitative data were collected from 450 students and 25 secretarial staff members through validated satisfaction surveys, stress assessment scales, and institutional retention metrics. Qualitative insights were gathered through semi-structured interviews and observational studies. Statistical analysis included correlation analysis, t-tests, and regression modeling. Findings: Results demonstrated significant improvements in student satisfaction scores from 3.5 to 4.2 (p

Suggested Citation

  • Alexander Hait, 2026. "The Impact of AI-Assisted Secretarial Services Through the Lens of Fluid Reality Theory: Toward Adaptive Administrative Ecosystems in Higher Education," Springer Proceedings in Business and Economics, in: Singha Chaveesuk & Seungwoo Shin & Sebastian Kot & Bilal Khalid (ed.), Entrepreneurship and Human-Centric Business Strategies for Social and Economic Resilience, pages 1863-1884, Springer.
    • Handle: RePEc:spr:prbchp:978-981-95-6415-6_116
    DOI: 10.1007/978-981-95-6415-6_116
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