“艾青体”诗歌及其诗史建构

艾青的诗充满了对于民族与时代的耶稣般的殉道和忧伤。这份苦难和忧伤于艾青来说是个人之伤民族之痛的融合,是一份民族之爱、人类之爱,是谓之大爱,它构成了艾青诗歌的基本色彩。童年的遭际、游子的苦涩、民族的苦难与象征主义的朦胧、隐晦、忧郁天然契合,并化为一种美学特质渗入他的诗行,从而酿就了独具风格的“艾青体”诗歌。并且,从艾青的漫长的创作过程及其作品,我们看到了一个时代的变迁,因而“史”的性质是明显的:历史发展的曲线与诗人创作的曲线达到了完美的契合。诗人就这样以自己的历经半个多世纪的诗歌创作及其独特的艺术风格真实记载了20世纪的中国,并由此完成了一部诗史的建构。     

The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms

The impact of the industrial and digital (information) revolutions has, undoubtedly, been substantial on practically all aspects of our society, life, firms and employment. Will the forthcoming AI revolution produce similar, far-reaching effects? By examining analogous inventions of the industrial, digital and AI revolutions, this article claims that the latter is on target and that it would bring extensive changes that will also affect all aspects of our society and life. In addition, its impact on firms and employment will be considerable, resulting in richly interconnected organizations with decision making based on the analysis and exploitation of “big” data and intensified, global competition among firms. People will be capable of buying goods and obtaining services from anywhere in the world using the Internet, and exploiting the unlimited, additional benefits that will open through the widespread usage of AI inventions. The paper concludes that significant competitive advantages will continue to accrue to those utilizing the Internet widely and willing to take entrepreneurial risks in order to turn innovative products/services into worldwide commercial success stories. The greatest challenge facing societies and firms would be utilizing the benefits of availing AI technologies, providing vast opportunities for both new products/services and immense productivity improvements while avoiding the dangers and disadvantages in terms of increased unemployment and greater wealth inequalities.     

The non-inclusive nature of ‘all inclusive’ economics: Paradoxes and possibilities of the resort complex

The ‘All Inclusive’ (AI) concept has revolutionized package hospitality services and captured the attention of many industry stakeholders. Scholars have mostly investigated AI from the marketing perspective, whereas the economic ramifications of this type of product, for both hospitality operators and local communities, are still a barren landscape. Using a mixture of quantitative analysis techniques, including a two-step cluster analysis and econometric modeling, the study aims to enhance our conceptual capital pertaining to the economic impact of AI for local communities. The study focuses on overall tourists' spending, both within and outside their accommodation, with expenditure segmented into seven study-specific categories that highlight the economic specificities of AI. Findings, of interest to industry stakeholders, revealed the problematic and ambiguous status of AI provision in Cyprus, whereas actions, espousing the principles of cluster theories, that could maximize the economic contribution of AI to local economies are suggested.     

人脸比对智能程序的开发实践

在百度平台创建应用,获得API Key和Secret Key。选用HTTP访问方式,获得人脸比对的Access_token。利用Python代码向URL发送请求,获取了“人脸比对”结果,通过数据抓取显示了比对结果。利用Tkinter设计的GUI界面,用户只需要选择两张人脸图片,可以立即获得比对结果。     

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。     

A Formal Study of Distributed Meeting Scheduling

Automating routine organizational tasks, such as meeting scheduling, requires a careful balance between the individual (respecting his or her privacy and personal preferences) and the organization (making efficient use of time and other resources). We argue that meeting scheduling is an inherently distributed process, and that negotiating over meetings can be viewed as a distributed search process. Keeping the process tractable requires introducing heuristics to guide distributed schedulers' decisions about what information to exchange and whether or not to propose the same tentative time for several meetings. While we have intuitions about how such heuristics could affect scheduling performance and efficiency, verifying these intuitions requires a more formal model of the meeting schedule problem and process. We present our preliminary work toward this goal, as well as experimental results that validate some of the predictions of our formal model. We also investigate scheduling in overconstrained situations, namely, scheduling of high priority meetings at short notice, which requires cancellation and rescheduling of previously scheduled meetings. Our model provides a springboard into deeper investigations of important issues in distributed artificial intelligence as well, and we outline our ongoing work in this direction.     

人工智能技术发展对“发明人”角色的挑战与应对

目前,人工智能已逐步从创造工具向自主创造转化,对“发明人”角色提出了挑战。人工智能能否成为“发明人”关系到创造物的权利归属、专利审查程序、专利许可等制度修改。利用文献研究、历史研究、逻辑推理等方法从不同维度分析：人工智能将具有“发明”的意识能力,未来成为法律意义的“人”也不存在理论障碍。但是,人工智能成为“发明人”,不仅需要全社会形成共识,且要有充分的理由修改专利法。从专利制度看,人工智能成为“发明人”不符合专利法制定的目标,具体实施也存在障碍,目前亟待解决人工智能创造物的权利归属问题。应对挑战,应坚持专利法中“发明人”的基本规定,但可以要求申请人履行说明人工智能承担的义务。     

Forecasting artificial intelligence on online customer assistance: Evidence from chatbot patents analysis

The main goal of this research is to provide a comprehensive understanding of the actual progresses in artificial intelligence, with emphasis on chatbots as emerging forms of customer assistance in online retailing. Drawing upon an analysis of the chatbot patents in the past 20 years, our findings show the increasing technology push towards the adoption of new conversational agents based on natural language. Findings also highlight the extent to which the research and development efforts are attempting to improve artificial intelligence systems that characterize chatbots. To this end, technology advancements are mainly focusing on: (i) improving chatbot ability to automatically draw inferences on users starting from multiple data sources, and (ii) using consumers’ knowledge adaptively to provide more customized solutions. Finally, results show the tight relationship between the digital assistants’ analytical skills and their ability to automatically interact with the users.     

A systematic review of AI technology-based service encounters: Implications for hospitality and tourism operations

The hospitality and tourism industry faces serious challenges during public health emergencies such as COVID-19. Managers are concerned not only about how to maintain business and provide humanized services but also about social distancing. This study presented artificial intelligence (AI) technology-based service encounters as a possible solution and examined the antecedents and consequences of the encounter triad including customers, employees, and AI. Based on a systematic literature review, the study identified 4 modes of AI technology-based service encounters: AI-supplemented, AI-generated, AI-mediated, and AI-facilitated encounters. In addition, the study developed an integrated model to specify the factors that influence AI technology-infused service encounters in general and the customer service outcomes that result from the encounters. The findings contribute to service management and AI application theoretically and practically.     

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.