Understanding the usability of retail fashion brand chatbots: Evidence from customer expectations and experiences

The existing literature suggests that chatbots tend to provide automated and generic responses that may not fully address complex customer inquiries, particularly when additional guidance is required. To improve the usability of retail fashion brands, this study examines how socially constructed experiences and expectations influence customer interactions. Data was collected from various sources, including online reviews, semi-structured interviews, and focus group discussions, to enhance the credibility of the results. The research reveals that individuals in the retail industry demand a broader variety of fashion products and more sophisticated capabilities to bolster the reminiscence of their shopping experiences. Retail fashion chatbots hold potential in recommending items that align with customers' preferences and goals, yet it is crucial for developers and brand managers to address numerous usability challenges and provide multilingual assistance to boost user engagement. Moreover, optimizing fashion retail chatbots is vital to reduce battery consumption, curtail instances of conversation window freezing, and hasten response times. This study provides a novel research framework that offers valuable insights on how to enhance the retail customer experience by improving interactivity, compatibility, credibility, and other factors that promote the use and adoption of retail fashion chatbots.     

高校科技成果转化效率与收益分配激励效应的三角验证研究

以江苏省为例,首先运用DEA-Malmquist指数评价模型对高校科技成果转化效率进行实证研究,发现各高校政策激励后期的科技成果转化效率较前期有显著提高。为解析当前高校成果转化政策体系中,收益分配政策对提高科技成果转化效率的促进作用,进一步实施基于文本分析法、问卷调查法与访谈法的三角验证研究策略。通过整合研判与溯因研究发现,以科研人员为主要激励对象的收益分配政策,对高校科技成果转化的激励效应较弱,根源在于激励环节与转化流程不对应、激励主体与转化主体不匹配以及激励回馈与激励风险不对称3个方面。