원문정보
초록
영어
This study presents a scientometric analysis of self-service technologies (SSTs), shadow work, and value co-creation which have been separately studied areas. Using CiteSpace to analyze 2005-2025 data from Web of Science, we visualize intellectual structures through keyword co-occurrence, burst detection, and timeline mapping. Results reveal three core clusters: SSTs adoption (e.g., usability and TAM), critiques of consumer labor (e.g., shadow work and data privacy), and value co-creation narratives (e.g., prosumers). Terms such as co-creation serve as semantic bridges linking technology empowerment and labor exploitation discourses as well as shadow work. This study proposes a technology-labor-value framework to highlight trade-offs between efficiency and hidden consumer work, urging more ethically aware SSTs design.
목차
1. Introduction
2. Literature Review
2.1 SSTs, Technology Empowerment, and Autonomy
2.2 Shadow Work: Unpaid Labor and Power Imbalance
2.3 Value Co-Creation: Collaborative Value Distribution and Theoretical Contributions
3. Methodology
3.1 Data Collection
3.2 Data Cleaning
3.3 CiteSpace Analysis
3.4 Result Validation
3.5 CiteSpace Settings
4. Results
4.1 Keyword Co-occurrence Network
4.2 Burst Term Analysis
4.3 Key Findings
4.4 Discussion and Implications
5.Conclusion and Future Research Directions
References