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.     

Comparing consumer-produced product reviews across multiple websites with sentiment classification

ABSTRACT

Online consumer reviews have been extensively studied. However, existing literature analyzing online consumer review data mostly relies on a single data source, resulting in potentially biased analytics conclusions. Many websites encourage consumers to post reviews of their purchased products, so that new consumers can evaluate these reviews for the same product across different websites to help them make purchasing decisions. Confusions often arise in this process, because there often exist substantial discrepancies in customer reviews across different retailers on the same product. Clarifying such confusions can help consumers reduce concerns to make up their mind for their purchases, therefore benefiting both consumers and retailers. Through text analytics and sentiment analysis, we comparatively examine the underlying patterns of online consumer reviews of three large retailers including Sears, Home Depot, and Best Buy for a same product. Afterward, we combine online consumer reviews from these large retailers and conduct an overall text analytics and sentiment analysis. The overall results are further compared with the results from individual retailers. The findings show that the sentiment of the online consumer reviews could vary substantially so relying on a single data source to make purchase decision is not a wise idea. Based on the results, we further devise a framework to comparatively examine and integrate multiple data sources for social media analytics of online consumer reviews. This study offers important managerial implications and identifies several new research directions for social media analytics.     

Social media bots and stock markets

This study examines the link between information spread by social media bots and stock trading. Based on a large sample of tweets mentioning 55 companies in the FTSE 100 composites, we find significant relations between bot tweets and stock returns, volatility, and trading volume at both daily and intraday levels. These results are also confirmed by an event study of stock response following abnormal increases in the volume of tweets. The findings are robust to various specifications, including controlling for traditional news channel, alternative measures of volatility, information flows in pretrading hours, and different measures of sentiment.     

How Does Using a Mobile Device Change Investors’ Reactions to Firm Disclosures?

I examine how characteristics of investors’ information access tools change investors’ reactions to firm disclosures. I examine my research question in the context of information choice (i.e., allowing investors to choose the order of information and sections to read within a disclosure) and spatial layout (i.e., how information is displayed when viewing the disclosure). Results of an experiment are consistent with information choice improving investors’ judgments if the disclosure is viewed on a computer screen. Conversely, and consistent with cognitive overload, information choice harms investors’ judgments if the disclosure is viewed on a smaller screen, such as that of a mobile device. Follow-up experiments show that changing the disclosure presentation to reduce the need to scroll is one way to improve investors’ judgments on a smaller (or mobile) screen. My findings caution firms and regulators about expanding information choice within disclosures without considering the screen size used to access the disclosure.     

Fifty years of The Financial Review: A bibliometric overview

The Financial Review (FR) is a highly regarded journal publishing original empirical, theoretical, and methodological research in all areas of financial economics. It celebrated its golden jubilee year in 2018. Using bibliometric techniques, we analyze the journal's impact, prominent topics, most prolific authors, and their affiliated institutions and countries. Our analysis also identifies the most often cited articles at different points in the journal's history. Using textual data analytics, we identify the most frequent themes discussed between 1969 and 2018 by decade.     

社区银行的内涵特征、历史沿革与模式创新--基于中外社区银行的内容分析与案例研究

本研究梳理了社区与社区银行的概念,通过对14组代表性定义的内容分析和编码发现传统社区银行的实质就是中小型商业银行。社区隐含了社区银行的覆盖范围、服务对象和业务特征,其服务对象没有实质差别。研究提出了社区银行的四个维度和特征,分别是银行规模、覆盖范围、服务对象和业务种类。监管机构和美国提出者更关注银行规模,而研究者特别是中国研究者更重视覆盖范围。因此,“地理范围论”和“资产规模论”基本成立,而“国别论”理论差别不大,“所有制论”和“形态论”并不成立。通过案例研究和实地调研归纳出社区银行的三种主要模式：即美国的“关系信贷”、澳大利亚的“特许经营”和中国的“金融生态”模式。其中,“特许经营”模式变相扩大了银行规模和覆盖范围两个维度,而“金融生态”模式扩展和丰富了银行规模、覆盖范围和业务种类。最后,结合发达国家的先进经验,有针对性地提出四点建议,并构建了中国社区银行建设的特征与要素模型。     

旅游外宣文本的翻译策略--以汉中市为例

旅游文本翻译是外宣翻译的重要组成部分,也是旅游文化对外宣传的重要途径。本文以汉中旅游外宣文本的英译为重点,以生态翻译适应选择论为理论依据,从语言、文化和交流等多角度分析和研究汉中市旅游宣传的翻译策略,强调地方文化旅游资源对外宣传的重要性。     

The issue of translation during thematic analysis in a tourism research context

This research note discusses issues with translation of non-English text during qualitative analysis in tourism research using examples from the newly emergent phenomenon of Chinese working holidaymakers in New Zealand. In particular, this note highlights an additional translation step in the thematic analysis process with non-English interview quotes and excerpts. This note argues the merit of researchers’ dual role as researcher/translator and discusses how researchers can undertake translation in cross-language research to maintain the rigour of qualitative tourism research.     

Racism in tourism reviews

Racism is increasingly recognised as a key driver of unfair inequalities in power, resources and opportunities across racial groups. A comprehensive understanding of racism is beneficial to activist groups, policymakers and governments. Traditional approaches, such as surveys and interviews, are usually time-consuming and inefficient in capturing the occurrence of large-scale racism. In this study, we utilise routinely collected data available on tourism websites to assess self-reported racism in the tourism domain. We present a data acquisition procedure that collects racism-related reviews from the Internet at the global scale and then utilise statistics and natural language processing techniques to analyse and explore racism in terms of its tendency, distribution, semantics and characteristics. The effectiveness of the proposed method is demonstrated in a case study, in which we acquire racism-related data at the global scale and validate the impact of racial discrimination on tourists’ experience.