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.     

采用改进遗传算法的变压器优化设计

电力机车变压器的优化设计,采用遗传算法是比较好的选择,但传统遗传算法存在一些弊端,文章从编码方式、遗传操作等几个方面探讨了如何对其进行改进,并使用Visual C++编写了一套设计软件,实践证明这种改进是有效的。     

Drug testing and the law

This article examines judicial and administrative rulings and legislation involving or related to the issue of drug testing in the workplace. It discusses the rights of employees in the public and private sector: constitutional rights; federal, state, and local statutory rights; rights of unionized employees; and common law rights. It analyzes both the current state of the law and future directions the law may take, as courts and administrative agencies decide more cases and governmental bodies continue to pass drug testing legislation.     

基于遗传算法的钢筋混凝土梁离散优化设计

首先给出钢筋混凝土矩形截面简支梁的离散优化模型，进而给出了简化的数学模型，设计了相应的适应度函数，用改进遗传算法来寻求最优设计方案，取得了较好的效果。     

基于遗传算法的军用集装箱装载优化

以军用集装箱装载为研究对象，在考虑实际应用中的一些约束条件下，构造了军用物资的装载优化模型，提出了一种军用集装箱三维装载的遗传算法。该算法考虑了货物放置方向、装载客积、装载质量及装载重心等约束条件。最后对一个案例进行了计算，验证了该模型的有效性，并且利用3ds max得到了装载方案的三维图。     

基于遗传算法的核函数参数优化

核主分量分析是一种输入输出特征非线性变换技术。选择最优或接近最优的非线性变换核函数参数,使类的可分性测度最大,是KPCA应用于特征提取的关键。本文采用高斯变异遗传算法作优化技术,实现了KPCA和GA的集成,适合核函数参数的优化选择。仿真表明,该技术可行、有效。     

建立绿色会计核算体系初探

目前我国正处在经济高速增长期。年GDP增长率9％-11％，同时又造成了严重的环境污染，土地大规模沙化，空气质量下降，长江、黄河等七大水系都遭受到了前所未有的污染。因此，对环境破坏进行成因分析，建立绿色会计体系，计价、计量自然环境。才能达到遏制环境污染的目的。     

死者发表权与隐私权的冲突与保护

死者发表权的行使既要从公益出发、鼓励作品传播,又要以个性为落脚点保护作者合法权益。死者发表权的代行者出于个人利益往往会侵犯死者的隐私权。隐私权是人身权,是精神权利;发表权是著作权,有一定的物质利益,所以,发表权的行使应受到限制,在合理推定死者生前意图的基础上,最大限度地保护死者的隐私权。     

基于GASA算法的提前或拖期问题优化

针对企业生产的提前 /拖期问题,提出了提前 /拖期问题的数学模型,在此基础上,利用GASA混合优化策略优化之,既保留了传统遗传算法能很快达到最优值领域的优点,又通过结合模拟退火算法大大改善传统遗传算法在后期的收敛性。     

基于改进遗传算法的生鲜加工配送中心连续选址模型

建立了生鲜加工配送中心选址连续模型，在引入监控算子的基础上，运用改进的遗传算法对模型进行求解。该模型和改进的遗传算法可有效的解决生鲜加工配送中心的选址问题。