A Mixed Method Approach to Measuring Creativity and AI-Related Dispositions.
The AICREA Scale and Qualitative Analysis on SME Managers
Autori
Valentina Giordano; Alessia Gargano; Giuseppe Carci; Flavia Bonaiuto; Irene Petruccelli; Andrea Laudadio.
Abstract
This contribution presents a mixed method design combining the AICREA scale — a 10-item Likert instrument measuring AI-related creativity across three dimensions: Fear of Cognitive Risk (resistance to cognitive challenge posed by AI), Imagination (generative and associative thinking), and Complexity of Thought (tolerance for ambiguity anddivergent reasoning), validated on TIM
S.p.A. employees — with semi-structured interviews with 11 SME managers, grounded in Torrance and Guilford’s constructs. Quantitative results show that prior AI use is the strongest predictor of baseline creativity, with an inverse relationship between seniority and AICREA scores. Qualitatively, AI emerges as an enabler of organizational creativity. Both levels converge toward direct training implications for Digital Affective Literacy, restoring to educators their role as conscious mediators between algorithmic heartbeat and the human dimension of learning.
Keywords
AI-related creativity; Mixed method research; AICREA scale.
Bibliografia
Amabile, T. M., & Pratt, M. G. (2016). The dynamic componential model of creativity and innovation in organizations:Making progress, making meaning. Research in Organizational Behavior, 36, 157–183.
Guilford, J. P. (1950). Creativity. American Psychologist, 5(9), 444–454.
Jia, N., Luo, X., Fang, Z., & Liao, C. (2024). When and how artificial intelligence augments employee creativity. Academy of Management Journal, 67(1), 5–32.
Torrance, E. P. (1974). Torrance tests of creative thinking. Personnel Press.
Woodman, R. W., Sawyer, J. E., & Griffin, R. W. (1993). Toward a theory of organizational creativity. Academy of Management Review, 18(2), 293–321
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