自2019年COVID-19疫情爆發以來，全球生活方式發生重大變化。零售業需要思考新商業模式，引進新技術提高門店效率，提供更舒適的購物體驗。消費者需求轉向非接觸式服務，智慧零售系統提升品牌形象。個人資訊保護意識成熟，去識別化技術保護數據隱私至關重要。
本研究的目的在探討智慧零售系統導入對消費者的影響，從消費價值和個人資料去識別化兩個方面進行研究。雖然智慧零售系統的導入能夠提高客戶體驗，但同時也帶來了隱私風險。若缺乏有效的資安技術防護，可能會影響顧客的購買意願和服務體驗。
本研究基於科技接受模式理論，探討消費者價值享受和個人資料去識別化等因素對智慧零售系統在零售門店中的接受程度是否會有影響。共蒐集到455份有效問卷，使用Smart PLS方法驗證模型。
研究結果顯示，消費者對智慧零售系統的個人資料去識別化、價值享受、知覺易用性和知覺有用性之間存在顯著的正向影響關係。同時，消費者的知覺易用性和知覺有用性對使用態度均具有顯著的正向影響作用，並且使用態度對行為意向也具有顯著的正向影響作用。
因此，本研究建議未來智慧零售系統的開發者應更加重視消費者對個人資料的隱私保護，並且在設計智慧零售系統時應更加注重易用性和有用性，以提高消費者的滿意度和使用意願。

Since the outbreak of the COVID-19 pandemic in 2019, there have been significant changes in global lifestyles. The retail industry needs to consider new business models, introduce new technologies to improve store efficiency, and provide more comfortable shopping experiences. Consumer demand has shifted towards non-contact services, and smart retail systems have improved brand image. Mature personal information protection awareness and de-identification technology are crucial for protecting data privacy.
This study aims to explore the impact of the introduction of smart retail systems on consumers, from the perspectives of consumer value and personal data de-identification. While the introduction of smart retail systems can improve customer experience, it also brings privacy risks. Without effective cybersecurity measures, it may affect customers' willingness to purchase and service experience.
Based on the Technology Acceptance Model, this study investigates whether factors such as consumer value enjoyment and personal data de-identification affect the acceptance of smart retail systems in retail stores. A total of 455 valid questionnaires were collected, and the Smart PLS method was used to validate the model.
The results showed that there is a significant positive relationship between consumers' personal data de-identification, value enjoyment, perceived ease of use, and perceived usefulness towards smart retail systems. Moreover, consumers' perceived ease of use and perceived usefulness have a significant positive impact on usage attitude, which in turn has a significant positive impact on behavioral intention. Therefore, this study suggests that future developers of smart retail systems should pay more attention to consumer privacy protection and prioritize usability and usefulness in designing smart retail systems to improve customer satisfaction and usage intention.

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