计量经济分析 = Econometric analysis

An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunities and challenges arise as people now can, and do, actively use information technologies to seek out and understand the opinions of others. The sudden eruption of activity in the area of opinion mining and sentiment analysis, which deals with the computational treatment of opinion, sentiment, and subjectivity in text, has thus occurred at least in part as a direct response to the surge of interest in new systems that deal directly with opinions as a first-class object.

This survey covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems. Our focus is on methods that seek to address the new challenges raised by sentiment-aware applications, as compared to those that are already present in more traditional fact-based analysis. We include material on summarization of evaluative text and on broader issues regarding privacy, manipulation, and economic impact that the development of opinion-oriented information-access services gives rise to. To facilitate future work, a discussion of available resources, benchmark datasets, and evaluation campaigns is also provided.

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Opinion Mining and Sentiment Analysis

Business intelligence and analytics (BI&A) has emerged as an important area of study for both practitioners and researchers, reflecting the magnitude and impact of data-related problems to be solved in contemporary business organizations. This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifies the evolution, applications, and emerging research areas of BI&A. BI&A 1.0, BI&A 2.0, and BI&A 3.0 are defined and described in terms of their key characteristics and capabilities. Current research in BI&A is analyzed and challenges and opportunities associated with BI&A research and education are identified. We also report a bibliometric study of critical BI&A publications, researchers, and research topics based on more than a decade of related academic and industry publications. Finally, the six articles that comprise this special issue are introduced and characterized in terms of the proposed BI&A research framework.

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Business intelligence and analytics: from big data to big impact

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The Theory of Industrial Organization

The authors study the effect of word-of-mouth (WOM) marketing on member growth at an Internet social networking site and compare it with traditional marketing vehicles. Because social network sites record the electronic invitations from existing members, outbound WOM can be precisely tracked. Along with traditional marketing, WOM can then be linked to the number of new members subsequently joining the site (sign-ups). Because of the endogeneity among WOM, new sign-ups, and traditional marketing activity, the authors employ a vector autoregressive (VAR) modeling approach. Estimates from the VAR model show that WOM referrals have substantially longer carryover effects than traditional marketing actions and produce substantially higher response elasticities. Based on revenue from advertising impressions served to a new member, the monetary value of a WOM referral can be calculated; this yields an upper-bound estimate for the financial incentives the firm might offer to stimulate WOM.

https://eresearch.ozyegin.edu.tr/xmlui/bitstream/handle/10679/56/Effects_of_Word-of-Mouth_Versus_Traditional_Marketing_Findings_from_an_Internet_Social_Networking_Site.pdf;sequence=5

Effects of Word-of-Mouth Versus Traditional Marketing: Findings from an Internet Social Networking Site

This paper uses actual WOM information to examine the dynamic patterns of WOM and how it helps explain box office revenue. The WOM data was collected from the website of Yahoo! Movies. The results show that WOM activities are the most active during pre-release and the opening week, and that movie audiences tend to hold relatively high expectation before release, but become more critical in the opening week. More importantly, WOM information offers significant explanatory power for both aggregate and weekly box office revenue, especially in the early weeks after opening. However, most of this explanatory power comes from the volume of WOM, not its valence as measured by the percentages of positive and negative messages.

Word-of-Mouth for Movies: Its Dynamics and Impact on Box Office Revenue

This article uses actual word-of-mouth (WOM) information to examine the dynamic patterns of WOM and how it helps explain box office revenue. The WOM data were collected from the Yahoo Movies Web site. The results show that WOM activities are the most active during a movie's prerelease and opening week and that movie audiences tend to hold relatively high expectations before release but become more critical in the opening week. More important, WOM information offers significant explanatory power for both aggregate and weekly box office revenue, especially in the early weeks after a movie opens. However, most of this explanatory power comes from the volume of WOM and not from its valence, as measured by the percentages of positive and negative messages.

https://www.jstor.org/stable/pdf/30162102.pdf

Word of Mouth for Movies: Its Dynamics and Impact on Box Office Revenue:

Product-harm crises often result in product recalls, which can have a significant impact on a firm's reputation, sales, and financial value. In managing the recall process, some firms adopt a proactive strategy in responding to consumer complaints, while others are more passive. In this study, the authors examine the impact of these strategic alternatives on firm value using Consumer Product Safety Commission recalls during a 12-year period from 1996 to 2007. Using the event study method, the authors show that regardless of firm and product characteristics, proactive strategies have a more negative effect on firm value than more passive strategies. An explanation for this surprising result is that the stock market interprets proactive strategies as a signal of substantial financial losses to the firm. When a firm proactively manages a product recall, the stock market infers that the consequence of the product-harm crisis is sufficiently severe that the firm had no choice but to act swiftly to red...

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Does a Firm's Product-Recall Strategy Affect Its Financial Value? An Examination of Strategic Alternatives During Product-Harm Crises

In this paper, we examine the persuasive influences of online user comments (or word-of-mouth) and of the reviews by movie critics on moviegoers’ evaluation of to-be-released movies. Two distinctive features of this study are: (1) moviegoers are considered to be heterogeneous in their movie going frequency and (2) word-of-mouth and critical reviews are concurrently available, and the views expressed in the two messages are in conflict. Using three experiments with natural stimuli, we find that the persuasive effect of online word of mouth is stronger on infrequent than on frequent moviegoers, especially when it is negative (Study 1). The effect of negative word-of-mouth on infrequent moviegoers is enduring even in the presence of positive reviews by movie critics (Study 2). The relative influence of word-of-mouth and critical reviews are asymmetric with infrequent moviegoers more influenced by word-of-mouth, while frequent moviegoers more influenced by the reviews (Study 3). We validate this source-segment alignment through secondary data analysis.

The Differential Effects of Online Word-of-Mouth and Critics' Reviews on Pre-release Movie Evaluation

Third-party product reviews (TPRs) have become ubiquitous in many industries. Aided by communication technologies, particularly on the Internet, TPRs are widely available to consumers, managers, and investors. The authors examine whether and how TPRs of new products influence the financial value of firms introducing the products. An event study covering 14 major media and professional reviews of movies released by 21 studios shows that TPRs exert significant impact on stock returns in the direction of their valence. However, the impact comes from the valence of a review that is measured relative to other, previously published reviews and not from the absolute valence of the review itself. The authors further study the dynamics of TPR impact on firm value and find that the impact exists only for prerelease reviews and is the strongest on the product release date, though it disappears when sales information becomes available after product release. These results demonstrate that TPRs play significan...

Yong Liu

Papers

Word-of-Mouth for Movies: Its Dynamics and Impact on Box Office Revenue

Word of Mouth for Movies: Its Dynamics and Impact on Box Office Revenue:

Does a Firm's Product-Recall Strategy Affect Its Financial Value? An Examination of Strategic Alternatives During Product-Harm Crises

The Differential Effects of Online Word-of-Mouth and Critics' Reviews on Pre-release Movie Evaluation

When do Third-Party Product Reviews Affect Firm Value and what can Firms Do? The Case of Media Critics and Professional Movie Reviews: