Unraveling the interplay of review depth,review breadth,and review language style on review usefulness and review adoption

To examine whether long reviews are uniformly more useful to readers, this study utilizes the experimental design approach to investigate the interplay of review depth, review breadth, and review language style on readers’ perceived usefulness and adoption intention of online hotel reviews. Drawing on the results from two experiments, review depth is proven to exert a positive impact on readers’ review usefulness and adoption intention. The moderating role of review breadth is verified, and the positive effect of review depth on review usefulness is attenuated (accentuated) when review breadth is high (low). The moderating role of review language style is also confirmed, and the result shows longer reviews written in literal language are considered more useful to readers than those written in figurative language. Being one of the first studies examining the interplay of review content and review style on review usefulness, this study provides important theoretical and practical contributions.     

Winning us with trifles: Adverse selection in the use of philanthropy as insurance

Research Summary: We study the use of corporate philanthropy as a form of reputation insurance, developing a formal model of such insurance to examine how the terms of insurance in equilibrium change under different assumptions about the firm and its stakeholders. We then test the predictions from this model in the U.S. petroleum industry and find that philanthropic donations offer insurance‐like benefits, but are also positively associated with subsequent oil spills—firms that give more, spill more—with this association being stronger for spills that are under firms’ control and in states with low civic capacity. These results are consistent with an adverse selection/moral hazard equilibrium and suggest that the use of philanthropy as reputation insurance may benefit firms at the cost of society. Managerial Summary: Firms that donate to social causes develop a reputation for being socially responsible, and are often given the benefit of doubt when negative information about them comes to light. But are philanthropic firms truly more responsible? We argue that firms that donate more may be more likely to do harm—those that expect to do harm later are likely to give more now, and those that know their reputation protects them may become less careful. Evidence from the U.S. petroleum industry is consistent with this argument, with firms that give more having more subsequent oil spills, but only the type of spills that are under the firm's control, and only in states where the firm faces weaker scrutiny.     

Networked innovation and coalition formation: the effect of group-based social preferences

In this paper, we study the production and dissemination of public knowledge goods, such as technological knowledge, generated by a network of voluntarily cooperating innovators. We develop a private-collective model of public knowledge production in networked innovation systems, where group-based social preferences have an impact on the coalition formation of developers. Our model builds on the large empirical literature on voluntary production of pooled public knowledge goods, including source code in communities of software developers or data provided to open access data repositories. Our analysis shows under which conditions social preferences, such as ‘group belonging’ or ‘peer approval’, influence the stable coalition size, as such rationalising several stylized facts emerging from large-scale surveys of open-source software developers, previously unaccounted for. Furthermore, heterogeneity of social preferences is added to the model to study the formation of stable but mixed coalitions.     

儒家传统文化与公司违规行为*——基于中国家族上市公司的分析

本文按照“文化-行为”的逻辑，探讨了作为非正式制度的重要组成部分之儒家传统文化对公司违规行为的影响。本文以2007—2014年沪深两市的中国家族企业上市公司为研究样本，考察了儒家传统文化对上市公司违规行为的影响以及其与正式制度（法律）的交互作用。研究发现，儒家传统文化影响力越强，上市公司违规行为发生的概率越低；并且在儒家传统文化与正式制度（法律）两者交互叠加作用时上市公司违规行为发生的概率更低。     

制度差异、“一带一路”倡议与中国大型对外投资——基于投资边际、模式与成败的三重视角

本文基于2005—2016年中国609个企业2 440个大型对外投资微观样本，全面考察正式与非正式制度差异对企业投资边际、模式与成败的影响。研究发现：正式制度差异对投资规模化的影响不大，但显著影响投资多元化。企业为了避免正式制度差异带来的管理风险，倾向于选择全资股权结构，但企业选择绿地投资还是跨国并购并不受到正式制度差异的影响。相比之下，非正式制度差异的影响更为广泛。无论是正式制度差异还是非正式制度差异，均会显著增加企业投资的失败概率。进一步研究发现，“一带一路”倡议主要对正式制度差异存在优化互补效应。研究结论表明，夯实“一带一路”倡议，尤其大力发展与沿线国家的文化深度交流，有助于企业更快、更好地走出去。     

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.     

面向卫星导航信号的外辐射源雷达软件化模拟器设计

面向全球导航卫星系统(Global Navigation Satellite System，GNSS)信号的外辐射源雷达，是一种利用环境中GNSS信号作为非合作照射源进行探测的雷达。为满足基于GNSS信号的外辐射源雷达系统仿真和信号处理算法设计评估的需要，通过对该雷达系统组成与工作原理的分析，完成了面向GNSS信号的外辐射源雷达软件化信号模拟器的设计与实现。给定仿真场景下软件化模拟器输出信号处理和分析的结果验证了该模拟器可根据输入参数与模型正确完成信号仿真。     

Crowdsourcing-based semantic relation recognition for natural language questions over RDF data

ABSTRACT

Natural language query systems over RDF data need to rely on the semantic relations in query. First, we propose the new crowdsourcing model that used to produce semantic relations dataset. The model not only inherits completeness of the iterative model and accuracy of the parallel model, but also saves human resources. Second, we mine the rules of semantic relation recognition from the correlations between dependency structures and semantic relations. Third, we propose an algorithm of semantic relation recognition for natural language query over RDF data, and experiments demonstrate that it can recognize more semantic relations than existing methods.     

Online piracy in the context of routine activities and subjective norms

Why do mainstream consumers who would not typically engage in illegal behaviour routinely resort to online piracy of copyrighted software? This paper provides answers to this research query by applying routine activity theory and the theory of reasoned action. The paper’s study analyses consumers’ role as possible offenders that can have the opportunity to engage in online software piracy as part of their routine online activities. Although it is problematic to measure the exact magnitude of the negative impact on the US economy, as stated by the Government Accountability Office it is sizeable. After analysing the conceptual model using a US national consumer sample of over 700 consumers, results show the influence of proximity to motivated offenders, target suitability, and capable guardianship on consumers’ attitudes and perceived subjective norms towards online software piracy, as well as their intentions to engage in this illegal behaviour on the Internet. By integrating routine activity theory, a criminology theory with the theory of reasoned action from psychology and analysing a widespread online software piracy phenomenon, several academic and practical contributions are made.     

Enabling the language of accessible tourism

The growing body of literature on “accessible tourism” lacks a critical scholarly debate around its specific language use and nomenclatures. To fill this gap, this paper provides a first examination of language. Language provides a unique capability to resist, strengthen and reframe identities of individuals and groups, yet can also reinforce, weaken and perpetuate dominant worldviews of disability. A content analysis examined previous accessible tourism literature with results illustrating that diversity exists amongst the varying terminologies adopted by scholars. Terms were employed loosely, inconsistently and interchangeably, euphemistically with erroneous understandings and nuances. The paper concludes with critical discussion about the power of researchers to (re) produce oppression through language that maligns and misrepresents, or to (re) conceptualise and (re) construct the world we live in with liberating language that facilitates positive social change.