| 英文摘要 |
Convenience retailing is now facing pressure from difficult labor recruitment, higher operating costs, sustainable management concerns, and the need to rearrange service processes. Smart unmanned stores have therefore become one possible direction for convenience store operators when they try to run stores with fewer service staff. In this type of store, consumers do not judge the shopping experience only by whether the technology looks new or whether checkout is fast. They also care about whether the process is easy to understand, whether the payment result is clear, and whether they can get help when something unexpected happens. The present paper takes Taiwan's 7-ELEVEN X-Store as the case. The data include consumer interviews, interviews with management and field personnel, and on-site observations. The analysis examines how consumers develop reasons for use and reservations during a low-staffed shopping process. The reasons for use are mainly related to technological novelty, efficiency in buying a small number of items, shopping autonomy, and less interpersonal disturbance. The reservations are mainly found in entry procedures, product recognition, payment confirmation, limited product variety, and unclear assistance when abnormal situations occur. The analysis also shows that reasons for use and reservations are not two fixed opposite positions. They may appear together and change according to the shopping task, the user's familiarity with the process, and the need for interpersonal interaction. Based on these findings, this paper uses the idea of 'assurance confirmation' to discuss ease of use in smart unmanned stores. In a low-staffed retail setting, ease of use is not only about simple operation. It also includes whether consumers can understand the process, confirm the transaction, and obtain assistance. The results extend the discussion of the Technology Acceptance Model, self-service technology, and Behavioral Reasoning Theory to the physical smart retail context. For store design, the case also shows that unmanned stores should pay attention to clear feedback, transaction confirmation, and human–technology collaboration, instead of focusing mainly on automation and labor reduction. |