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.     

电力商标分析及评估模型的构建

本文分析了电力商标的实质内涵，总结了电力商标的基本特征，在此基础上对商标的评估模型进行了创新构建，新建模型有两大特点：一是将商标收益分割为两部分计量；二是用强度系数进行了调整强化，为电力商标的评估提供一种新思路。     

Linear Programming Models for the Measurement of Environmental Performance of Firms—Concepts and Empirical Results

I use linear programming models to define standardised, aggregate environmental performance indicators for firms. The best practice frontier obtained corresponds to decision making units showing the best environmental behaviour. Results are obtained with data from U.S. fossil fuel-fired electric utilities, starting from four alternative models, among which are three linear programming models that differ in the way they account for undesirable outputs (pollutants) and resources used as inputs. The results indicate important discrepancies in the rankings obtained by the four models. Rather than contradictory, these results are interpreted as giving different, complementary kinds of information, that should all be taken into account by public decision-makers.     

低压供电线路电压损耗的简便校验

为了确保低压供电线路的供电质量,本文就低压配电线路未端,包括地埋、架空户内干线、支线的电压校验问题,提供简单易行的估算方法,对低压供电线路电压质量的校验通过简单四则运算,判别电压质量是否符合要求.     

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。     

基于智慧管控平台的电力物资“最后一公里”供应模式创新与应用

通过梳理电力物资“最后一公里”供应中的管控痛点与相关工作现状,提出了需求信息快速传导、跨部门关键业务协同和专业业务数据壁垒破除的工作思路,由此形成“依托信息化管控平台,消除业扩配套项目物资供应管理全过程中各专业间的数据壁垒,推进各关键业务环节的智慧决策,开展物资供应储备的精准化管理与末端配送的主动式服务”的电力物资“最后一公里”供应创新模式,并论述了该模式的管控体系构建和智慧管控平台的关键决策技术与方法,余杭公司实践情况表明该模式能有效提升电力物资“最后一公里”供应效率、保障业扩提质增效。     

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。     

电力系统故障仿真软件分析

随着电力市场不断发展、电力电子技术的逐步应用、大型电力系统串级式故障的不断出现和对电力系统控制器的深入研究,电力系统仿真软件的应用也越来越迫切,文章介绍了电力系统动态模拟装置模拟软件和电磁暂态仿真软件,以全面提高软件资源共享的能力。