Analyzing the Antencedents and Impact of Experience Satisfaction in the Use of Robotic Service in Indoenesia Restaurant

Based on the Excel file provided, there are four sheets that contain important information about the research questionnaire data related to consumers' experience with the service robots “Bella” and “Ketty” at Reveuse Resto. The first sheet contains a recapitulation of respondent data based on gender and province of origin. For example, there are 135 male respondents, as well as several respondents from provinces such as Banten and Yogyakarta. This data is organized in a summary form but still has an untidy column naming format because it appears to come from the pivot table results. The second sheet presents similar information, but the focus is more on the distribution of respondents' cities of origin. Some of the cities mentioned include Bandung, West Bandung and Bantul, each with a different number of respondents. This data also takes the form of a recap and supports an understanding of the geographical distribution of participants in the study. The most important sheet is the “Summary” sheet which contains the complete data of each respondent. In this sheet, demographic information such as gender, age range, province, city of residence, employment status, and date of questionnaire completion are displayed. In addition, there are also respondents' responses to their experiences when served by service robots at Reveuse Resto. The responses are scored using a Likert scale (1-5) and cover various aspects such as impressions of the robot's capabilities, perceived service experience, overall satisfaction and impression, and intention to recommend or return to the restaurant. Finally, the fourth sheet (Sheet6) is the result of an advanced analysis that seems to use statistical approaches such as PLS-SEM (Partial Least Squares Structural Equation Modeling). It contains information about factor loadings, reliability values (Cronbach Alpha and Composite Reliability), Average Variance Extracted (AVE), and Discriminant Validity based on the Fornell-Larcker method. This analysis shows the extent to which the research instruments used are valid and reliable in measuring respondents' perceptions and experiences of service robots.本数据集基于所提供的Excel文件，共包含4个工作表，存储了与Reveuse Resto餐厅内服务机器人“Bella”与“Ketty”相关的消费者体验调研问卷数据。 第一个工作表为基于受访者性别与原籍省份的调研数据汇总表。例如，本次调研共有135名男性受访者，另有来自万丹省（Banten）、日惹特区（Yogyakarta）等省份的受访者。该数据以汇总形式呈现，但列命名格式较为杂乱，推测其源自数据透视表导出结果。 第二个工作表包含类似信息，但核心聚焦于受访者原籍城市的分布情况。提及的原籍城市包括万隆（Bandung）、西万隆（West Bandung）与班图尔（Bantul），各城市受访者人数各不相同。该数据同样以汇总形式呈现，可辅助研究者理解本次调研参与者的地理分布特征。 本数据集最为核心的工作表为名为"Summary"的工作表，其中存储了每位受访者的完整调研数据。该表包含受访者的人口统计学信息，如性别、年龄区间、所属省份、居住城市、就业状态以及问卷完成日期等；同时收录了受访者在Reveuse Resto接受服务机器人服务后的体验反馈。所有反馈均采用李克特量表（Likert scale，1-5分）进行评分，涵盖机器人性能印象、感知服务体验、整体满意度与印象、推荐意愿及复购意愿等多个维度。 最后一个工作表（Sheet6）为高级统计分析结果，其采用了偏最小二乘结构方程模型（PLS-SEM, Partial Least Squares Structural Equation Modeling）等统计方法。该表包含因子载荷、信度值（克朗巴哈α系数（Cronbach Alpha）与组合信度（Composite Reliability））、平均方差萃取量（AVE, Average Variance Extracted）以及基于弗内尔-拉克尔（Fornell-Larcker）法的区分效度等信息。本分析可用于评估本次调研所使用的研究工具在测量受访者对服务机器人的感知与体验时的有效性与可靠性水平。