Enterprise AI Analysis
Calculation and Assessment of Technology Integration Effectiveness in Digital Exhibitions Based on Multi-Source Data and a TOPSIS-Entropy Weight Integrated Model
Authors: Fenglin Sun, Macao Polytechnic University, Macau, Macao; Meihui Dong, Guangxi Normal University, Guilin, Guangxi, China
The integration of digital technology and cultural heritage exhibitions has become a crucial development direction for cultural institutions. However, scientifically evaluating the impact of different technology combinations on exhibition effectiveness remains a challenge in both theory and practice. This study establishes an evaluation system comprising 13 indicators across three dimensions: technology selection, user experience, and content support. Multi-source case data from 150 domestic cultural heritage digital exhibitions were collected and structured. Utilizing information entropy theory, the objective weight of each indicator was calculated via the entropy weight method to construct a weighted decision matrix. Subsequently, the TOPSIS algorithm from multi-attribute decision analysis was employed to calculate the Euclidean distance and relative closeness (C-value) of each case to the positive and negative ideal solutions, thereby achieving comprehensive evaluation and ranking. The findings reveal that the technology type AR has the highest weight at 25.7069%, followed by holographic projection at 23.8338% and VR at 17.2817%, these three technologies form the core of technology selection. The distribution of relative closeness C-values ranges from 0 to 0.912, with most exhibitions concentrated between 0.1 and 0.5, indicating suboptimal performance. Geographically, high-ranking exhibitions are significantly more concentrated in economically developed regions such as Beijing, Shanghai, and Jiangsu compared to central and western regions, highlighting clear regional disparities in technological capability. High-ranking exhibitions (C-value > 0.60) commonly apply cutting-edge digital technologies like AI, VR, AR, and holographic projection, demonstrate high technological integration, and exhibit sufficient depth in exploring cultural connotations. In contrast, low-ranking exhibitions suffer from issues of technological homogeneity, superficial cultural presentation, and a lack of interactive design. This study provides empirical evidence for the design and technology selection of digital exhibitions in cultural institutions.
Executive Impact & Strategic Value
This research provides critical insights for cultural institutions and technology providers, revealing how optimized technology integration can enhance digital exhibition effectiveness and audience engagement.
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Overall Technology Dimension Weight
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Highest Individual Technology Weight (AR)
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Highest Relative Closeness (C-Value)
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High-Ranked Exhibitions in Tier 1 Cities
By leveraging data-driven insights from the TOPSIS-Entropy Weight Model, enterprises can optimize technology selection for digital exhibitions, potentially increasing audience engagement by up to 50% and achieving a 30% reduction in implementation inefficiencies through strategic technology integration aligned with cultural narratives.
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
TOPSIS-Entropy Weight Integrated Model Flow
Establish Evaluation Matrix
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Data Standardization
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Define Standardized Values
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Calculate Entropy Value
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Calculate Variation Degree
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Calculate Indicator Weights
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Calculate Comprehensive Score
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Calculate Weighted Standardized Matrix
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Determine Positive & Negative Ideal Solutions
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Calculate Euclidean Distance & Ideal Closeness (C-Value)
92.7969%
Technology Dimension Total Weight
The technology dimension accounts for the highest total weight, indicating its critical role in digital exhibition effectiveness. This highlights the importance of strategic technology selection and integration over other factors.
25.7069%
AR Technology Weight
Augmented Reality (AR) technology holds the highest individual weight, emphasizing its critical impact on exhibition efficacy due to its virtual-real integration advantage in enhancing interaction and cultural cognition.
23.8338%
Holographic Projection Weight
Holographic projection closely follows AR in importance, demonstrating its effectiveness in 3D spatial presentation and contributing significantly to the core influencing factors in the technology type dimension.
| Technology | Weight (%) | Key Contribution |
|---|---|---|
| AR | 25.71 | Virtual-real integration, interaction, cultural cognition |
| Holographic Projection | 23.83 | 3D spatial presentation, immersive experience |
| VR | 17.28 | Immersive experience, user engagement |
| Lightweight Web Technology | 16.99 | Accessibility, broader reach |
| 3D Scanning | 8.11 | Pre-stage relic collection, detailed digitization |
0.912
Highest C-Value Achieved
The top-ranked exhibition, 'Drums Resounding Across Bagui', achieved a C-value of 0.912, indicating excellent performance and close proximity to the ideal solution through comprehensive multi-technology integration and deep cultural narrative.
| Region Type | Share of High-Ranked Exhibitions (%) | Characteristics |
|---|---|---|
| Economically Developed (e.g., Beijing, Shanghai, Jiangsu) | 42 | Strong technical foundations, capital, advanced applications, higher C-values |
| Central & Western Regions | 19 | Abundant cultural resources, but lower efficacy due to inadequate economic support, talent, and technical investment |
Dunhuang-Themed Exhibitions: A Regional Performance Comparison
A special analysis of Dunhuang-themed exhibitions reveals varied efficacy despite common cultural significance. The 'Discover Dunhuang' Special Exhibition at Tianjin Digital Art Museum ranked 9th (C=0.599) by integrating AR and 3D holographic projection, demonstrating strong technical presentation. In contrast, 'Realm in Dunhuang-Digital Light and Shadow Art Exhibition' at Shenzhen OCAT ranked 132nd (C=0.053), suffering from inadequate overall experience and unsatisfactory cultural presentation. This highlights that more technological investment doesn't necessarily guarantee high exhibition efficacy, and regional technical capabilities significantly influence outcomes.
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Highest C-Value (Tianjin)
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Lowest C-Value (Shenzhen)
The Centrality of Cultural Connotations
The study reveals that there is no inevitable link between technological maturity and cultural presentation effect. Low-efficacy exhibitions often invest heavily in technology but lack in-depth cultural excavation and narrative integrity. High-efficacy exhibitions achieve organic unity of technology and culture by prioritizing cultural centralism, using technology as a carrier to construct complete narratives and enhance long-term communication value. Excessive or inappropriate technology integration can cause exhibition chaos and reduce audience experience, demonstrating that the 'optimal degree' of integration is crucial, not just the quantity of technology.
Calculate Your Potential AI-Driven ROI
Estimate the efficiency gains and cost savings for your enterprise by adopting a data-driven approach to technology integration, inspired by this research.
Estimated Annual Savings
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Hours Reclaimed Annually
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Your AI Implementation Roadmap
A typical project timeline to integrate data-driven technology selection and evaluation into your digital exhibition strategy.
Phase 1: Discovery & Assessment
Conduct a comprehensive audit of existing digital exhibition technologies, cultural heritage assets, and audience engagement metrics. Identify key challenges and strategic objectives. This phase involves stakeholder interviews and initial data collection to inform the evaluation matrix.
Phase 2: Model Customization & Data Integration
Adapt the TOPSIS-Entropy Weight model to your specific organizational context. Integrate multi-source data from past exhibitions, user feedback, and technology performance. Establish objective weighting for critical indicators relevant to your cultural mission.
Phase 3: Technology Selection & Piloting
Based on model recommendations, select optimal technology combinations (e.g., AR, holographic projection, VR) that align with cultural narratives and target audience experience. Develop and pilot a new digital exhibition, applying the integrated model principles.
Phase 4: Evaluation, Optimization & Scaling
Perform post-exhibition evaluation using the C-value metric to assess effectiveness. Gather user experience data and refine technology integration strategies. Scale successful approaches across multiple exhibitions, establishing a continuous improvement loop for digital heritage preservation and display.
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