Grouping Path Analysis of Digital Museum Revisit Intention Based on IPA-fsQCA

LI Zixiang; MI Gaofeng; YANG Xiaohui; HAN Meishen

doi:10.19554/j.cnki.1001-3563.2026.12.015

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (12) : 188-203. DOI: 10.19554/j.cnki.1001-3563.2026.12.015

Industrial Design

Grouping Path Analysis of Digital Museum Revisit Intention Based on IPA-fsQCA

LI Zixiang¹, MI Gaofeng^1,*, YANG Xiaohui^1,2, HAN Meishen¹

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Abstract

Against the backdrop of integrating digitalization and sustainability, digital cultural consumption exhibits new characteristics and driving forces. Using the Hebei Museum's digital museum as a case, this study explores the multiple configurational factors influencing consumers' revisit intentions from an interdisciplinary perspective. An IPA-fsQCA empirical framework was constructed for this purpose. First, Importance-Performance Analysis (IPA) mapped the museum's current development, providing a visual reference for optimization. Next, an influencing factor model was built by integrating information ecology concepts. Finally, fuzzy-set Qualitative Comparative Analysis (fsQCA) identified seven sufficient configurational paths driving revisits, which are categorized into three types: social-dominated digital culture cognitive, demand-oriented external popularity stimulated, and digital ecology-demand matching synergistic. Based on these findings, three optimization strategies are proposed for the Hebei Museum: deepening cultural content to design empowering cultural spaces, leveraging digital technology to stimulate active user participation, and understanding digital social networking to adapt to fragmented communication trends.

Key words

digital hall / IPA-fsQCA / revisit intention / grouping paths

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LI Zixiang, MI Gaofeng, YANG Xiaohui, HAN Meishen. Grouping Path Analysis of Digital Museum Revisit Intention Based on IPA-fsQCA[J]. Packaging Engineering. 2026, 47(12): 188-203 https://doi.org/10.19554/j.cnki.1001-3563.2026.12.015

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