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.     

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.     

Collaborative approaches to public sector innovation: A scoping study

In the last 15 years, European countries have invested considerable resources to provide e-government services. Despite of its increasing availability, its level of adoption has not been satisfying. On the other hand, over the last years, coinciding with the web 2.0 trend, the e-government services co-produced by citizens start to appear, often without the support, acknowledgement and even awareness of the government. This trend stems from a well-established tradition of offline co- production of public services, i.e. services provided by the voluntary sector, but brought to an unprecedented scale thanks to the advent of web 2.0. Still, the concept remains not well-defined and its impact is not yet well studied. The paper explores on a limited sets of cases what does it mean to collaboratively deliver online public services; what are the success factors based on the cases under study and what are the incentives for service providers (other than public administration), citizens as users and public administration. The authors propose an ostensive definition of the collaborative delivery of public services: collaborative public services are created and run by government, civil society or by private sector building on the re-use of government data or citizens data. Those services are focused on public goods delivery (e.g. health, education, public transport) and are meant to change the traditional government services by engaging in an open dialogue with public administration about the best way to deliver those services. The analysis of six case studies of innovative collaborative online public services suggests that the online collaborative public service delivery increases its quality with the users׳ growth contrary to the traditional offline service delivery. The study results indicate that the current developers interest lies in delivering complementary services to the government run services rather than substitutive services. The authors propose also the initial list of success factors, enabling conditions, and benefits for all main stakeholders (users, innovators and public administration).     

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。     

中国B2C旅游电子商务盈利模式比较研究--以携程旅行网和春秋旅游网为例

本文以携程旅行网和春秋旅游网为例，对两种具有普遍性的B2c旅游电子商务盈利模式建立模型并进行市场调查，比较分析这两种模式的共同点、核心差异、相对优劣和市场对他们的选择倾向，探讨我国B2C旅游电子商务与传统旅游企业结合的合理途径以及未来盈利模式的调整与发展方向，指出市场是判断盈利模式合理性的唯一标准。     

The Ethics of Professorial Book Selling: Morality, Money and "Black Market" Books

This study used experimental and correlational techniques to examine perceptions that university faculty hold regarding the practice of professorial selling of examination textbooks to wholesalers. Faculty members (n = 236) from 14 universities and community colleges and a wide variety of academic disciplines responded to a web-based survey. We presented hypothetical selling situations to respondents with manipulated variables consisting of solicitation status (unsolicited versus solicited) and use of money (for faculty or for student activities). Both main effects and the interaction effect were significant such that respondents perceived it to be more ethical to sell an examination book when the book was unsolicited and when the money was being used to fund student activities. The variable most correlated with faculty members' beliefs that book selling is ethical and the faculty members' self-reports of whether or not they have engaged in bookselling was how widespread the practice appeared to be on campus. About 30 percent of faculty members sold textbooks over the past year at a dollar value of about $80 per professor. About 38 percent of respondents reported they believed the practice to be generally ethical. Implications for business ethics theory, students' moral development, and advancement of on-campus codes of ethics policies are discussed along with avenues for future research.     

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。