Examining artificial intelligence (AI) technologies in marketing via a global lens: Current trends and future research opportunities

Artificial intelligence (AI) has captured substantial interest from a wide array of marketing scholars in recent years. Our research contributes to this emerging domain by examining AI technologies in marketing via a global lens. Specifically, our lens focuses on three levels of analysis: country, company, and consumer. Our country-level analysis emphasizes the heterogeneity in economic inequality across countries due to the considerable economic resources necessary for AI adoption. Our company-level analysis focuses on glocalization because while the hardware that underlies these technologies may be global in nature, their application necessitates adaptation to local cultures. Our consumer-level analysis examines consumer ethics and privacy concerns, as AI technologies often collect, store and process a cornucopia of personal data across our globe. Through the prism of these three lenses, we focus on two important dimensions of AI technologies in marketing: (1) human–machine interaction and (2) automated analysis of text, audio, images, and video. We then explore the interaction between these two key dimensions of AI across our three-part global lens to develop a set of research questions for future marketing scholarship in this increasingly important domain.     

A multivariate distance nonlinear causality test based on partial distance correlation: a machine learning application to energy futures

This paper proposes a multivariate distance nonlinear causality test (MDNC) using the partial distance correlation in a time series framework. Partial distance correlation as an extension of the Brownian distance correlation calculates the distance correlation between random vectors X and Y controlling for a random vector Z. Our test can detect nonlinear lagged relationships between time series, and when integrated with machine learning methods it can improve the forecasting power. We apply our method as a feature selection procedure and combine it with the support vector machine and random forests algorithms to study the forecast of the main energy financial time series (oil, coal, and natural gas futures). It shows substantial improvement in forecasting the fuel energy time series in comparison to the classical Granger causality method in time series.     

积分循环赛在学校篮球竞赛中的应用研究

为了在学校篮球竞赛中引入积分循环赛，文章针对棋类积分编排存在的三个方面问题，通过采用每轮比赛排名作为配对排序的条件，并对棋类积分编排方法进行了一定的简化移植，经过多次试验性编排，运用电子表格技术设计出了一整套篮球积分编排方法。这种方法可实际运用于篮球积分循环赛的手工编排，并能为实现计算机篮球积分编排提供理论依据。     

Extracting the information: espionage with double crossing

This paper addresses two very old issues in human society: espionage and double crossing. Our major conclusion points out that there will be a serious over rewarding problem in the direct mechanism due to double crossing in espionage, and a competitive mechanism with a relative performance regime can possibly mitigate the over rewarding problem and still extract the information.      

中国政府统计抽样调查制度的总体框架研究

随着中国市场经济体制的逐步确立,政府的职能在逐渐转变,政府对统计数据的要求也在变化,这就要求政府统计调查制度也随之改革。适应市场经济体制和中国政府管理的特点以及城乡统筹发展的要求,政府统计调查应该以抽样调查为主体,抽样调查队伍和机构应主要设立在地市一级,调查的指标体系和内容应该改革与调整,企业抽样调查应该采用名单框和区域框结合的双框抽样方式。对于抽样调查得到的数据资料,不仅应当汇总得出各种可用于宏观经济管理与分析的总量指标数据和分类数据,而且还应当建立起全部被调查企业和被调查家庭的数据库,供政府部门和国内的科学研究机构进行微观社会经济活动主体层次的研究。     

盾构机自动控制技术现状与展望

随着我国社会主义市场经济的迅速发展以及科技水平的不断提升,交通运输行业得到了蓬勃发展。当前,随着我国地下隧道等各项工程建设数量的不断上升,盾构机的重要性不言而喻。加强对盾构机自动控制技术的研究工作,不断解决该技术应用过程中存在的问题,才能有效地促进技术应用,为提升我国地下工程施工安全性能奠定技术支持。     

Double Moral Hazard,Monitoring, and the Nature of Contracts

generalized double-sided moral-hazard model, with risk-averse parties who mutually monitor each other (to get a reasonable idea of outcome/effort). The model considers trade-off between monitoring costs and moral hazard costs, which are endogenously determined by the extent of monitoring. Using this model, we formally prove a generalized version of Coase's conjecture – that the optimal contract minimizes the agency and risk costs. We then show how varying assumptions about the feasibility or cost of monitoring of the outcome or the worker's effort lead to different contracts being optimal. The analysis is then used to explain the nature of contracts observed in practice under many different situations. We will give an explanation as to why industrial workers typically work under wage contracts, while share contracts are common in agriculture and will explain why profit sharing is more common for senior managers than for the production workers. Received September 19, 2000; revised version received October 30, 1997     

Competition and Regulation in Franchise Bidding

In this work we show that the separation property identified in the franchise bidding literature depends strictly on the hypothesis of coincidence of the regulator's beliefs with those of the competing firms. Nevertheless, in many contexts it is more truthful to hypothesize that the regulator's information is vaguer than that of the producers, so we introduce the possibility that the regulator is dealing with a double informational asymmetry as compared to the firms. In this case, the separation property is no longer valid, and the optimal tariff becomes a decreasing function of the degree of competition exercised during the auction.     

我国港机CAD的应用与发展

港口装卸机械产品计算机辅助设计简称港机ＣＡＤ，本文介绍了港机ＣＡＤ１５年来发展的历程和取得的成绩，指出了港机ＣＡＤ今后的研究方向与课题。     

广州-茂名铁路换碴施工技术

文章介绍了有关在广州-茂名铁路运用大型养路机械进行更换石碴施工的技术和经验。