Predictors of consumers’ willingness to share personal information with fashion sales robots

This study investigates whether consumers' self-interests and social interactions predict their willingness to share their personal information with a fashion sales robot. The study develops hypotheses based upon the information sharing theory and tests them by building a decision tree predictive model. Using a video stimulus of a fashion sales robot, we conduct interviews, pretests, and main data collection (n = 464) in the United States. The results indicate that service quality, enjoyment, and usefulness, which reflect self-interest, and trust, which reflects social interaction, predict consumers’ willingness to share personal information with the robots. These results suggest that fashion marketers should focus strategically on service quality and enjoyment when they adopt AI sales robots and use them as a medium to share information in customer service.     

The Value of Service Robots from the Hotel Guest’s Perspective: A Mixed-Method Approach

Service robots (SR) are increasingly valued and embraced; they are here to stay. Research on collaborative intelligence to better understand robotic-human partnerships is scarce. To bridge that gap this study aimed to examine the value of SR from the guest’s perspective, thus gain a deeper understanding of the co-value creation process in the context of full-service hotels. A mixed-method design was used to capture the depth and breadth of perceived value of SR. Study 1 is a qualitative study probing consumers’ sense making regarding SR. Study 2 used structural equation modeling to test the hypotheses derived from Study 1. Results indicate that perceived privacy, functional benefits of SR, and robot appearance positively influence consumers’ attitude towards adoption of SR. Functional benefits and novelty had an impact on the individuals’ anticipated overall experience. Attitude and anticipated overall experience, in turn, enhanced consumers’ acceptance of SR. Implications, limitations, and future research are discussed.     

财务机器人对企业财务管理的影响与促进

在市场经济体制的落实下,我国的经济建设越来越完善。有很多先进的管理手段和管理设施都被应用在了企业的财务管理工作中,在很大程度上也提高了企业财务管理工作的水平,提升了企业的整体竞争力。财务机器人就是其中的一种。基于此,论文对财务机器人进行了简单概述,并分析了财务机器人对企业财务管理的影响与促进以及相关的财务管理优化建议,希望对企业实际的财务管理工作有所帮助。     

树木修枝机械的研究综述

随着社会的发展,人们逐渐意识到保护森林的重要性,因此,进一步强化对森林培育、维护和管理的研究。修剪树枝是树木生长过程中必不可少的环节,能够促进树木健康成长,保障树木成长质量。当前,传统的人工修剪模式已经不能满足实际需求,加强对修枝机械设备的研究和应用已经成为业界关注的重点,如爬树修枝机器人得到了大力研发和应用。论文对树木修枝机械研究存在的问题进行分析和探究,旨在进一步促进树木修枝机械的研发,提升树木修枝机械的现代化水平,加大环境保护和森林资源保护力度。     

Liquidity effects of trading frequency

In this paper, we present a discrete‐time modeling framework, in which the shape and dynamics of a Limit Order Book (LOB) arise endogenously from an equilibrium between multiple market participants (agents). We use the proposed modeling framework to analyze the effects of trading frequency on market liquidity in a very general setting. In particular, we demonstrate the dual effect of high trading frequency. On the one hand, the higher frequency increases market efficiency, if the agents choose to provide liquidity in equilibrium. On the other hand, it also makes markets more fragile, in the sense that the agents choose to provide liquidity in equilibrium only if they are market neutral (i.e., their beliefs satisfy certain martingale property). Even a very small deviation from market neutrality may cause the agents to stop providing liquidity, if the trading frequency is sufficiently high, which represents an endogenous liquidity crisis (also known as flash crash) in the market. This framework enables us to provide more insight into how such a liquidity crisis unfolds, connecting it to the so‐called adverse selection effect.     

Consumers׳ perception of the complexity of selected household purchase decisions

This study provides evidence of consumers׳ perception of the complexity of a variety of product/service decisions in terms of a complexity continuum and indicates how such categorisation is influenced by specific demographic characteristics, specifically gender, age and education level that are predominant in terms of consumer socialisation. A survey which was conducted in a major city and involved 461 respondents. The multiple section structured questionnaire were completed by willing spouses/partners of participating households. Complexity values were calculated in terms of a specific anchoring product, namely major household appliances. It became evident that the most expensive purchases that households ever make, namely purchasing a home and a car, which were perceived to be the most complex by all while grocery purchase was on the least complex divide of the continuum. Also on the more complex divide of the continuum were service related decisions such as insurance. Particularly noteworthy is the confirmation of significant differences in perceived complexity within product categories that are perceived to be the most- and the least complex by all. This confirms the vulnerability of certain segments of the consumer society and the need for concerted effort to communicate with them in appropriate media and on a level that would enhance informed consumer decision-making. Underlying reasons probably relate to consumers׳ risk perception and affordability issues that could be explored in future research. Interestingly the findings of the gender comparison shifted the focus to different product categories than those elicited in the age-, income and level of education comparisons. Findings therefore confirm the relevance of demographic characteristics in media communication and consumer facilitation as well as in research. Retailers and marketers should therefore be cognisant of the characteristics of their target markets and be very selective and cautious when identifying communication media.     

关于高职院校实现机器人教学的探索与实践

为了提高高职院校学生的综合理论和实践能力,更新教学理念、优化教学策略,对传统高校以及高职院校的机器人教学情况进行了调研。以"能力培养"为主导思想,从教学内容、教学方法等方面对高职机器人教学进行了探索与研究。     

面向成本的教学机器人设计

针对大中型机器人无法完全满足应用型大学实验教学需要的问题,设计了一种基于单片机控制的步进电动机驱动的小型教学机器人。该机器人结构简单,制造成本低。教学实践证明了该类机器人适用于工业机器人技术和单片机原理等课程的实验教学。     

自动化监测技术在地铁运营监测中的应用

基坑开挖必然会对邻近的地铁隧道产生扰动影响,为了保证地铁线路的安全运营,采用自动化监测手段对施工影响范围内的地铁隧道实施实时监测。利用静力水准监测系统与测量机器人及配套软件,实现远程自动化监测与现场监测的结合,连续监测运行中的地铁隧道变形,结果表明此自动监测方法系统稳定,测量数据准确可靠。     

No-arbitrage condition and existence of equilibrium in asset markets with a continuum of traders

In the present paper, we prove that a no-arbitrage condition (à la Werner) is necessary and sufficient for the existence of an equilibrium with a continuum of traders and a finite number of assets. As in Aumann (1966) , Hildenbrand (1974) and Schmeidler (1969) , preferences are not assumed to be convex. We do not use Fatou's Lemma and do not assume that the consumption sets are compact.