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Factors driving user behavior and value creation with text-to-image generative artificial intelligence (AI): A systems theory perspective

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  • Hung, Chih-Lung
  • Wu, Jen-Her
  • Chiang, Po-Chuen
  • Li, Qi
  • Chen, Yi-Cheng

Abstract

The rise of image-generative AI has made it a crucial tool for image creators, gaining popularity in fields such as cartography, design, and photography. As users increasingly rely on AI for image creation, understanding the factors that drive user value becomes essential. Drawing on systems theory, this study proposes a conceptual framework to examine the relationships among integration effort, compatibility, synergy, and value creation. Data from 531 AI image creators supported our hypotheses, revealing that: (1) integration effort significantly enhances both compatibility and synergy; (2) compatibility positively influences synergy; (3) synergy directly and positively impacts user value creation; and (4) synergy serves as a critical mediator in the relationships between the two enablers—compatibility and integration effort—and user value creation, with compatibility also partially mediating the link between integration effort and synergy. These results extend systems theory by integrating it more deeply with the resource-based view and highlighting synergy as a pivotal factor that not only directly drives user value creation but also mediates the effects of compatibility and integration effort. Furthermore, the study empirically confirms that user value can be conceptualized through three key constructs: efficiency, effectiveness, and innovation.

Suggested Citation

  • Hung, Chih-Lung & Wu, Jen-Her & Chiang, Po-Chuen & Li, Qi & Chen, Yi-Cheng, 2025. "Factors driving user behavior and value creation with text-to-image generative artificial intelligence (AI): A systems theory perspective," Technology in Society, Elsevier, vol. 83(C).
    • Handle: RePEc:eee:teinso:v:83:y:2025:i:c:s0160791x25001952
    DOI: 10.1016/j.techsoc.2025.103005
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    1. Wu, Qinqin & Zhuang, Qinqin & Liu, Yitong & Han, Longyan, 2024. "Technology shock of ChatGPT, social attention and firm value: Evidence from China," Technology in Society, Elsevier, vol. 79(C).
    2. Nishant, Rohit & Kennedy, Mike & Corbett, Jacqueline, 2020. "Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda," International Journal of Information Management, Elsevier, vol. 53(C).
    3. Ivanov, Stanislav & Soliman, Mohammad & Tuomi, Aarni & Alkathiri, Nasser Alhamar & Al-Alawi, Alamir N., 2024. "Drivers of generative AI adoption in higher education through the lens of the Theory of Planned Behaviour," Technology in Society, Elsevier, vol. 77(C).
    4. Sarstedt, Marko & Hair, Joseph F. & Cheah, Jun-Hwa & Becker, Jan-Michael & Ringle, Christian M., 2019. "How to specify, estimate, and validate higher-order constructs in PLS-SEM," Australasian marketing journal, Elsevier, vol. 27(3), pages 197-211.
    5. Hao, Xinyue & Demir, Emrah & Eyers, Daniel, 2024. "Exploring collaborative decision-making: A quasi-experimental study of human and Generative AI interaction," Technology in Society, Elsevier, vol. 78(C).
    6. wael AL-khatib, Ayman, 2023. "Drivers of generative artificial intelligence to fostering exploitative and exploratory innovation: A TOE framework," Technology in Society, Elsevier, vol. 75(C).
    7. Jarvis, Cheryl Burke & MacKenzie, Scott B & Podsakoff, Philip M, 2003. "A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(2), pages 199-218, September.
    8. Mariani, Marcello M. & Machado, Isa & Magrelli, Vittoria & Dwivedi, Yogesh K., 2023. "Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions," Technovation, Elsevier, vol. 122(C).
    9. Leonardo Banh & Gero Strobel, 2023. "Generative artificial intelligence," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-17, December.
    10. Li, Yunjian & Song, Yixiao & Sun, Yanming & Zeng, Mingzhuo, 2024. "When do employees learn from artificial intelligence? The moderating effects of perceived enjoyment and task-related complexity," Technology in Society, Elsevier, vol. 77(C).
    11. Peng, Lifang & Chen, Yi-Cheng & Robinson, Simon & Li, Qi & Wu, Jen-Her, 2024. "Exploring IT business value creation in a Taobao Village EC ecosystem: A systems theory perspective," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
    12. Akter, Shahriar & Hossain, Md Afnan & Sajib, Shahriar & Sultana, Saida & Rahman, Mahfuzur & Vrontis, Demetris & McCarthy, Grace, 2023. "A framework for AI-powered service innovation capability: Review and agenda for future research," Technovation, Elsevier, vol. 125(C).
    13. Chowdhury, Soumyadeb & Budhwar, Pawan & Dey, Prasanta Kumar & Joel-Edgar, Sian & Abadie, Amelie, 2022. "AI-employee collaboration and business performance: Integrating knowledge-based view, socio-technical systems and organisational socialisation framework," Journal of Business Research, Elsevier, vol. 144(C), pages 31-49.
    14. Wang, Yi & Shi, Si & Nevo, Saggi & Li, Shaorui & Chen, Yang, 2015. "The interaction effect of IT assets and IT management on firm performance: A systems perspective," International Journal of Information Management, Elsevier, vol. 35(5), pages 580-593.
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    2. He, Hao & Bai, Shizhen & Han, Chunjia & Yang, Mu & Fan, Weijia & Gupta, Brij B., 2025. "Beyond simple interaction: Uncovering the perception-interaction intrinsic mechanism of generative AI agents—A multi-modal big data analysis with PLS-SEM and fsQCA," Technology in Society, Elsevier, vol. 83(C).

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