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<p>In recent years, technological change through the use of artificial intelligence (AI) has been an inevitable strategy for information technology (IT) artifacts to better meet individualized needs and provide smart services. However, AI-driven technological change differs from previous technological changes because it has been an emerging, disruptive technological change that aims to make accepted IT smart. It may bring significant sociotechnical changes in existing IT artifacts that require user adaptation to such technological changes, which may hinder the success of the technological change strategy. This paper investigates how IT identity inspires user adaptation to AI-driven technological change in existing IT artifacts in terms of three dimensions: emotional energy, relatedness, and dependence. Drawing on the commitment to technological change (CTC) theory, we found that two dimensions of CTC (affective CTC and continuous CTC) could explain the underlying mechanism between IT identity and user adaptation in existing IT artifacts. Emotional energy, relatedness, and dependence have different effects on the two dimensions of CTC, leading to different influences on user adaptation. The findings can provide new insights for service providers of IT artifacts to integrate AI artifacts into IoT-based smart services.</p>

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From IT artifact to AI artifact: an empirical study on the impact of IT identity on user adaptation to AI-driven technological change

  • 期刊论文

  • 发表日期：

    2026年6月2日

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  • Yonghong Yang,
  • Zhao Pan,
  • Qian Hu

摘要

In recent years, technological change through the use of artificial intelligence (AI) has been an inevitable strategy for information technology (IT) artifacts to better meet individualized needs and provide smart services. However, AI-driven technological change differs from previous technological changes because it has been an emerging, disruptive technological change that aims to make accepted IT smart. It may bring significant sociotechnical changes in existing IT artifacts that require user adaptation to such technological changes, which may hinder the success of the technological change strategy. This paper investigates how IT identity inspires user adaptation to AI-driven technological change in existing IT artifacts in terms of three dimensions: emotional energy, relatedness, and dependence. Drawing on the commitment to technological change (CTC) theory, we found that two dimensions of CTC (affective CTC and continuous CTC) could explain the underlying mechanism between IT identity and user adaptation in existing IT artifacts. Emotional energy, relatedness, and dependence have different effects on the two dimensions of CTC, leading to different influences on user adaptation. The findings can provide new insights for service providers of IT artifacts to integrate AI artifacts into IoT-based smart services.