How artificial intelligence will affect the future of retailing

Artificial intelligence (AI) will substantially impact retailing. Building on past research and from interviews with senior managers, we examine how senior retailing managers should think about adopting AI, involving factors such as the extent to which an AI application is customer-facing, the amount of value creation, whether the AI application is online, and extent of ethics concerns. In addition, we highlight that the near-term impact of AI on retailing may not be as pronounced as the popular press might suggest, and also that AI is likely to be more effective if it focuses on augmenting (rather than replacing) managers’ judgments. Finally, while press coverage typically involves customer-facing AI applications, we highlight that a lot of value can be obtained by adopting non-customer-facing applications. Overall, we remain very optimistic as regards the impact of AI on retailing. Finally, we lay out a research agenda and also outline implications for practice.     

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.     

Predicting the geo-temporal variations of crime and disorder

Traditional police boundaries—precincts, patrol districts, etc.—often fail to reflect the true distribution of criminal activity and thus do little to assist in the optimal allocation of police resources. This paper introduces methods for crime incident forecasting by focusing upon geographical areas of concern that transcend traditional policing boundaries. The computerised procedure utilises a geographical crime incidence-scanning algorithm to identify clusters with relatively high levels of crime (hot spots). These clusters provide sufficient data for training artificial neural networks (ANNs) capable of modelling trends within them. The approach to ANN specification and estimation is enhanced by application of a novel and noteworthy approach, the Gamma test (GT).     

自适应调制与编码系统及其在WCDMA中的应用

本文主要讨论自适应调制与编码系统(Adaptive Modulation and Coding system）的原理，介绍AMCS实现的几个关键技术，包括RCPT（速率适配凿孔turbo）码、高阶调制、H-ARQ和MIMO（多输入多输出）系统。介绍了在WCDMA的高速下行分组接入业务（HSDPA）中使用的自适应调制编码机制，并讨论了可能增加的设备复杂度。     

我国外资企业避税问题分析

外资企业进入我国,给我国的经济带来了活力,推动了我国的经济增长。但与此同时,也在我国谋取了大量税收利益。本文通过对外资企业在我国避税特点的分析,指出其进行逆向避税的不同动机,并重点分析了外资企业在税务筹划中所采取的各种避税手段,为我国反避税工作的开展提供借鉴参考。     

USB Key身份认证技术

网络应用的安全问题十分重要,本文着重介绍了USB Key身份认证技术的特点、应用方式及基本原理。     

人工神经网络技术在物流需求量预测中的应用

运用人工神经网络模拟人脑的思维过程,建立了多个变量之间的非线性模型,从而为准确预测物流需求量提供了科学的依据。     

智业经济论纲--兼质疑"知识经济"的提法和概念

“知识经济”的提法和概念值得商榷。人类历史发展前两个阶段都是以产业命名的，即农业经济和工业经济，现阶段若以“知识经济”命名，则不合历史逻辑，“知识”并非产业，构不成产业经济；而且，任何产业包括农业、工业等都是以知识为基础的，任何经济模式和历史阶段亦均以知识作为兴起与发展的原动力，故“知识经济”的提法不具独特性、严谨性和准确性。本文认为应以“智业经济”替代“知识经济”的提法。“智业经济”的提法比“知识经济”更科学、更准确。它既包容、升华了“知识产业经济”的概念，比之更简洁、明确，更具经济学的深刻内涵，还包容了智慧经济、智力经济等提法的合理内核，比之更准确、科学，内涵也更丰富。     

川渝毗邻地区合作示范区协同发展研究 ———基于哈肯模型的实证分析

摘 要：本文将川渝毗邻地区合作共建区域发展功能平台统称为川渝毗邻地区合作示范区（以下简称“示范区”）,并以此为研究对象,通过泰尔L指数,测度示范区经济发展差异,随后运用哈肯模型、耦合协调和灰色关联度等方法进行协调度分析。研究发现,各示范区经济发展差异较小,经济发展趋同,加剧示范区之间的竞争,削弱协同合作,抑制比较优势的发挥和提升;成渝“双核”对示范区的辐射带动作用不明显,示范区总体与成渝“双核”的差距仍然较大;在示范区协同发展中,经济金融活动发挥着主导作用,经济环境与金融支持协调发展趋势向好,金融支持对示范区协同发展有显著的正向影响。基于此,建议大力发展新型金融业态,为优势产业发展营造良好的金融支持环境;开辟特色金融“试验区”,引入特色金融活水,有针对性地加强各示范区优势产业和特色产业的金融支持,进一步提升比较优势,强化示范区与成渝“双核”的经济联系,为成渝地区双城经济圈高质量发展提供重要支撑。     

西部大开发战略与武汉城市功能的发挥

西部大开发战略的实施 ,为武汉这个中部特大中心城市的发展提供了机遇 ,如何顺势起飞 ,关键在于武汉中心城市功能的发挥。处于中部承东启西 ,九省通衢 ,基础强劲的武汉特大中心城市功能的发挥 ,也会有力地促进西部大开发战略的落实。武汉立足于其区位综合优势 ,从集散功能、生产功能、管理功能、服务功能、创新功能发展出发 ,借西部大开发之势重构和强化其金融商贸中心功能、交通枢纽功能、通讯信息中心功能、科技教育文化中心功能、生产和服务中心功能 ,是武汉发展和西部大开发的双赢策略。