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.     

External pressure or internal culture? An innovation diffusion theory account of small retail businesses’ social media use

COVID-19 put unprecedented external pressure on small businesses to adopt or increase use of social media while not all small businesses are internally ready for this rapid change. This study investigated the roles of external pressures and organizational culture of openness and learning in driving small retail business owners'/managers' social media use decisions by impacting their perceived usefulness and barriers, based on the innovation-decision process model from the diffusion of innovations theory and the theory of reasoned action. An online survey with structured measurements was administered to 411 U.S. small retail business owners/managers. Results from structural equation modeling revealed that external pressures positively influenced small business owners'/managers’ perceived usefulness and barriers and social media use intention. In addition, the culture of openness and learning positively influenced the perceived usefulness while mitigating the perceived barriers, thereby directly and indirectly influencing the social media use intention. Theoretical and managerial implications are discussed.     

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.     

对群众体育锻炼中，如何合理安排运动量的探讨

本文在体育锻炼能够增强体质，提高健康水平的生物学基础上和群众体育锻炼与专业训练的区别上，提出群众体育锻炼中如何合理安排运动量。     

石化企业乙烯物料平衡的实例分析

乙烯物料平衡是石化企业的主要物料平衡之一，由于乙烯衍生物的装置较多，影响石化企业乙烯物料平衡的因素也多。在分析了S企业的四个实例后，可以看出，搞好乙烯的物料平衡工作，可以提高乙烯下游装置的开工率和负荷率，从而提高企业的经济效益。     

Accrual accounting and Australian fiscal policy

Australian governments have recently moved from cash accounting to accrual accounting. Accrual accounting has been accompanied at the national government level by the introduction of a new key fiscal policy measure: the ‘fiscal balance’. This paper explains and evaluates this new fiscal measure. It concludes that, given the present fiscal policy of the Australian government, fiscal balance is a superior fiscal policy measure to the ‘cash’ budget balance measure which it replaced. However, from the alternative ‘golden rule’ policy standpoint, fiscal balance is not a meaningful fiscal policy measure — although its stock counterpart, net financial liabilities, certainly is.     

基于成本的网间互联结算研究

目前,我国电信业网间互联结算存在的较大缺陷,造成了网间互联互通的不畅。本文分析了我国及国外目前网间互联结算的现状,指出应以成本为基础确定网间互联费用,提出了完善我国电信业网间互联结算的几点建议。     

贸易差额的衡量:基于所有权还是所在地

本文在借鉴西方主要国家和有关国际机构在为建立基于所有权的国际贸易统计框架所做方法研究和探索实践的基础上,尝试确立完整的基于所有权的双边贸易差额统计框架,并且把这一原则与现行的跨境贸易差额进行了比较。一方面指出现行的跨境贸易差额高估我国贸易利得的主要原因,是外资企业净出口被计为中国的出口,而实际上它是外国资本在国际化生产中获得的贸易利得;另一方面为将来如何调整统计口径、得到反映现实的统计结果,提供可供参考的方向。     

Stock Price and Volume Effects Associated with Compositional Changes in European Stock Indices

This paper provides further evidence of price and volume effects associated with index compositional changes by analysing the inclusions (exclusions) from the French CAC40 and SBF120 indices, as well as the FTSE100. I find evidence supporting the price pressure hypothesis associated with index fund rebalancing, but weak or no evidence for the imperfect substitution, liquidity and information hypotheses. The results improve on recent evidence from the S&P500 index. The evidence for the FTSE100 additions shows, in particular, that markets learn about an imminent inclusion and incorporate this information into prices, even before the announcement date.