The influence of anthropomorphic appearance of artificial intelligence products on consumer behavior and brand evaluation under different product types

While artificial intelligence products are widely used in the market, their anthropomorphic appearance design is becoming a frontier issue in product strategy and consumer behavior research. The aim of this study was to investigate the influence of anthropomorphic appearance on consumer behavior and brand evaluation under different AI product types. It was conducted in China, a new but rapidly-growing country in the field of Internet, AI technology and AI product consumption. This study conducted four situational experiments with a 2 (anthropomorphic design: anthropomorphic vs. non-anthropomorphic) × 2 (product type: hedonic vs. utilitarian) between subjects’ experimental design. Data was collected from 1172 Chinese “Digital Natives” by using a structured questionnaire. The findings revealed that for hedonic AI products, anthropomorphic appearance improves consumers' purchase intention and brand evaluation through perceived entertainment, and intelligence level significantly moderates the mediating effect of perceived entertainment; while for practical AI products, anthropomorphic appearance improves consumers' purchase intention and brand evaluation through perceived usefulness, and intelligence level does not significantly moderate the mediating effect of perceived usefulness. There is no significant moderating effect of intelligence level on perceived usefulness. The study contributes to development and validation of a more comprehensive understanding and theoretical foundation of anthropomorphism, and furthermore explores the impact of anthropomorphic appearance on consumer behavior and brand evaluation under different AI product types. This study also provides insights for companies to apply anthropomorphic strategies.     

扎根理论视角下协同创新中心组织智力特征研究

识别组织智力特征是组织整合智力资本并转化为组织价值的基础。运用扎根理论对江苏高校协同创新中心的组织智力进行研究,发现了4个方面的特征,即全国行业领先型战略目标、特色科技型知识管理、双能型领导者与多样型合作伙伴。     

浅谈智能决策支持系统在管理决策中的应用前景

文章从智能决策支持系统的概念、性能出发,探讨了该系统应用于管理决策的优势,并大胆描述了智能决策支持系统将对企业管理决策带来的巨大变化。     

文化智力:个体差异与跨文化适应关系研究新视角

文献研究发现大五人格等稳定的个体差异不能有效预测跨文化适应,而文化智力作为个体普遍的差异特征能够进行有效干预,具有动态特征,因而成为跨文化适应研究的新视角。在此基础上结合国际商务的特点对文化智力量表进行修订,删除某些交叉、重复内容,增加国际商务的专业知识认知题项。探索性因子分析得出与原有量表一致的四个维度,共可解释81%的变异,证明文化智力结构具有跨文化一致性;验证性因子分析证明修订后的文化智力量表具有很好的结构效度。     

制造企业人工智能创新如何赋能高质量发展 ——来自中国上市公司的经验证据

制造企业作为人工智能创新战略的重要载体,在经济高质量发展过程中发挥着举足轻重的作用。基于2015—2019年596家制造业上市公司数据,从组织外部竞争和内部生产要素视角,通过构建个体固定效应非平衡面板模型,探讨人工智能创新驱动制造企业高质量发展的内在机制和边界条件。结果表明：人工智能创新能够有效推动制造企业高质量发展,人工智能创新双元性对高质量发展的影响无显著差异,而行业竞争能够强化人工智能创新对高质量发展的促进作用。进一步地,不同子行业人工智能创新对高质量发展的影响存在差异,劳动密集型企业和技术密集型企业人工智能创新能够促进高质量发展,而资本密集型企业人工智能创新对高质量发展的影响不显著。结论不仅有助于揭示人工智能对制造企业高质量发展的影响机制,还可为企业制定人工智能创新战略提供重要启示。     

知识管理研究综述

知识管理理论的发展与智力资本、战略理论中知识基础论及认识论等密切相关,根据对知识认识的不同角度可分为知识管理是信息处理工具和知识管理是战略管理工具;知识管理模型可分为知识分类模型、智力资本模型和社会结构模型等三种类型.知识管理理论的进一步发展需要解决知识管理的边界模糊、个人所有的知识转化为组织的知识需要解决隐性知识与显性知识的转化等问题.     

Taking superintelligence seriously: Superintelligence: Paths,dangers, strategies by Nick Bostrom (Oxford University Press, 2014)

A new book by Nick Bostrom, Superintelligence: Paths, Dangers, Strategies, is reviewed. Superintelligence explores the future of artificial intelligence and related technologies and the risks they may pose to human civilization. The book ably demonstrates the potential for serious thinking aimed at the long-term future. Bostrom succeeds in arguing that the development of superintelligent machines will, if not properly managed, create catastrophic risks to humanity. The book falls short in some respects, and some sections are more compelling and novel than others. Overall, however, Bostrom’s book succeeds in demolishing the “null hypothesis” according to which the possibility and risks of superintelligence can continue to be ignored, and is a must-read for those interested in the long-term future of humanity.     

Comparing linear and nonlinear forecasts for stock returns

We compare the out-of-sample performance of monthly returns forecasts for two indices, namely the Dow Jones (DJ) and the Financial Times (FT) indices. A linear and a nonlinear artificial neural network (ANN) model are used to generate the out-of-sample competing forecasts for monthly returns. Stationary transformations of dividends and trading volume are considered as fundamental explanatory variables in the linear model and the input variables in the ANN model. The comparison of out-of-sample forecasts is done on the basis of forecast accuracy, using the Diebold and Mariano test [J. Bus. Econ. Stat. 13 (1995) 253.], and forecast encompassing, using the Clements and Hendry approach [J. Forecast. 5 (1998) 559.]. The results suggest that the out-of-sample ANN forecasts are significantly more accurate than linear forecasts of both indices. Furthermore, the ANN forecasts can explain the forecast errors of the linear model for both indices, while the linear model cannot explain the forecast errors of the ANN in either of the two indices. Overall, the results indicate that the inclusion of nonlinear terms in the relation between stock returns and fundamentals is important in out-of-sample forecasting. This conclusion is consistent with the view that the relation between stock returns and fundamentals is nonlinear.     

Gender Matters in Hospitality (invited paper for ‘luminaries’ special issue of International Journal of Hospitality Management)

This article is a review paper, which examines the place of gender in hospitality research and education and discusses the significance of hospitality for women's employment and entrepreneurship opportunities. The paper’s main purpose, however, is to speculate on the future of hospitality gender research and women’s employment prospects in the industry. It suggests that, despite the emergence of gender perspectives in hospitality research and the recent rise of popular feminism in response to high-profile sexual harassment cases and a well-publicised gender pay gap, gender still does not occupy mainstream territory in the field. The paper stresses the continued missed opportunities of neglecting female talent and calls on female and male leaders to shape a gender-just future in hospitality study and practice by mentoring and holding hierarchies to account. The paper identifies AI and robotics and sexual exploitation and harassment as two areas in which hospitality gender scholars could lead scholarship and policy debates on gendered human experiences.     

Idea Competitions under scrutiny: Acquisition,intelligence or public relations mechanism?

Idea Competitions (ICs) are becoming a popular mechanism chosen by firms to perform Open Innovation. They are a way to engage with external sources of knowledge such as individual entrepreneurs and small firms who are asked to submit ideas and compete for a prize. However, little is known about the success of ICs as acquisition mechanisms. The researchers conducted interviews in five multinational companies to evaluate the effects of using ICs as an acquisition mechanism. Although still preliminary, the results of this study show that the success of ICs as an acquisition mechanism remains uncertain because their output (i.e. the number of ideas acquired) is often low compared to the input (i.e. the number of ideas submitted) and effort required to run them (e.g. to vet ideas). Across the cases observed, ICs appear to be more successful at identifying and acquiring early-stage ideas, particularly those outside the current business focus. The study shows that ICs deliver other functional benefits such as improved intelligence and public relations and that these need to be considered as part of the evaluation of the IC's success. The paper concludes by discussing the conditions in which ICs are implemented and the implications for Open Innovation theory.