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An electronic commerce marketing channel is fully mediated by information technology, stripping away much of a product's physical informational cues, and creating information asymmetries (i.e., limited information). These asymmetries may impede consumers' ability to effectively assess certain types of products, thus creating challenges for online sellers. Signaling theory provides a framework for understanding how extrinsic cues—signals—can be used by sellers to convey product quality information to consumers, reducing uncertainty and facilitating a purchase or exchange. This research proposes a model to investigate website quality as a potential signal of product quality and consider the moderating effects of product information asymmetries and signal credibility. Three experiments are reported that examine the efficacy of signaling theory as a basis for predicting online consumer behavior with an experience good. The results indicate that website quality influences consumers' perceptions of product quality, which subsequently affects online purchase intentions. Additionally, website quality was found to have a greater influence on perceived product quality when consumers had higher information asymmetries. Likewise, signal credibility was found to strengthen the relationship between website quality and product quality perceptions for a high quality website. Implications for future research and website design are examined.

We proposed a framework on how to design the optimal crowdfunding strategy for the competitive creators under quality information asymmetry. And we also considered the platform uses different funding mechanisms (fixed or flexible) and the creators’ different orders of initiation (lead or follow). We find that when high-quality creator initiates first and the degree of quality information asymmetry is low, the optimal price of low-quality creator is negatively correlated with the quality utility and success rate of his own product, but positively correlated with the quality utility and success rate of his competitor’s product. More interestingly, we also show that it is more conducive to maximize the profits of creators to retain quality information asymmetry when high-quality creator initiates crowdfunding first. We also find that when the degree of quality information asymmetry between creators and contributors is high, it is always better that the high-quality creator initiates crowdfunding first, whereas it is better for the low-quality creator to initiate first if the of degree of quality information asymmetry between creators and contributors is low. Finally, when the degree of quality information asymmetry between creators and contributors is very high or very low, the two creators and the platform can obtain higher profits by a fixed mechanism; otherwise, the flexible mechanism is more beneficial to them.

The massive blackout that occurred in August 2003 left over 50 million people in the northeastern and midwestern parts of the United States without electricity and caused billions of dollars in economic losses. This event highlighted the importance of sustainable and resilient energy infrastructure. Our study examines the impact of this blackout on the sustainability of financial markets by analyzing the liquidity and information asymmetry of U.S. stocks listed on major exchanges. Our results show that the blackout had a negative impact on the financial market’s liquidity, as evidenced by a significant widening of bid–ask spreads and a decrease in the market quality index. We also find an increase in information asymmetry during the blackout period, as measured by higher realized spreads. Furthermore, our study reveals that the blackout had a border impact on global financial markets and the negative effect on liquidity persisted even after two weeks.

I study a model of investment and sale of ideas and test its empirical implications using a novel data set from the market for original movie ideas. Consistent with the theoretical results, I find that buyers are reluctant to meet unproven sellers for early-stage ideas, which restricts sellers to either developing the ideas fully (to sell them later) or abandoning them. In contrast, experienced sellers can attract buyers at any stage, and they sell worse ideas sooner and better ideas later. These results have important managerial implications for buyers and sellers and show that, in such contexts, policy interventions that discourage buyer participation—such as stronger intellectual property protection—may diminish the market for ideas and hurt inexperienced sellers. This paper was accepted by Bruno Cassiman, business strategy.

Does information asymmetry affect the cross-section of expected stock returns? We explore this question using representative portfolio holdings data from the Shanghai Stock Exchange. We show that institutional investors have a strong information advantage, and that past aggressiveness of institutional trading in a stock positively predicts institutions’ future information advantage in this stock. Sorting stocks on this predictor and controlling for other correlates of expected returns, we find that the top quintile’s average annualized return in the next month is 10.8 % higher than the bottom quintile’s, indicating that information asymmetry increases expected returns.

In this study, we examine the empirical association between corporate social responsibility (CSR) and information asymmetry by investigating their simultaneous and endogenous effects. Employing an extensive U.S. sample, we find an inverse association between CSR engagement and the proxies of information asymmetry after controlling for various firm characteristics. The results hold using 2SLS considering the reverse side of information asymmetry influencing CSR activities. The results also hold after mitigating endogeneity based on the dynamic panel system generalized method of moment. Furthermore, the CSR-information asymmetry relation is amplified in high-risk firms due to managers' efforts to build a good reputation. Last, we find that CSR engagement is inversely associated with reputational risk measure and lower predicted value of reputational risk is positively associated with lower information asymmetry measures. We interpret these results as supporting the stakeholder theory-based, reputation-building explanation that considers CSR engagement as a vehicle to build and maintain firm reputation thereby enhancing the information environment.

Prior research generally interprets complex language in firms' disclosures as indicative of managerial obfuscation. However, complex language can also reflect the provision of complex information; for example, informative technical disclosure. As a consequence, linguistic complexity commingles two latent components—obfuscation and information—that are related to information asymmetry in opposite directions. We develop a novel empirical approach to estimate these two latent components within the context of quarterly earnings conference calls. We validate our estimates of these two latent components by examining their relation to information asymmetry. Consistent with our predictions, we find that our estimate of the information component is negatively associated with information asymmetry while our estimate of the obfuscation component is positively associated with information asymmetry. Our findings suggest that future research on linguistic complexity can construct more powerful tests by separately examining these two latent components of linguistic complexity.

The article presents the first theoretical and empirical estimation of the role of logistics in mitigating the effects of market information asymmetry in Poland. Following a review of international (Akerlof, Spencer, Stiglitz) and Polish literature (Go±embska, Gruszecki, Stradomski), a new logistic model of information asymmetry (LMAI) is presented. The article attempts an empirical verification of this model using the results of studies conducted in Polish firms in the period 2000-2018. The studies examined the efficiency and effectiveness of logistics management, with a particular focus on logistics infrastructure expenditure, balance-sheet inventories, and logistics costs. The computation of the LMAI indicator, based on averaged data provided by manufacturers, distributors and service firms, enabled the estimation of the impact of logistics management on reducing the effects of information asymmetry, and showed the differences of this impact in individual industries including the pharmaceutical, tourist, transport and food distribution industry.

PurposeInter-organisational governance is an important enabler for information processing, particularly in relationships undergoing digital transformation (DT) where partners depend on each other for information in decision-making. Based on information processing theory (IPT), the authors theoretically and empirically investigate how governance mechanisms address information asymmetry (uncertainty and equivocality) arising in capturing, sharing and interpreting information generated by digital technologies.Design/methodology/approachIPT is applied to four cases of public–private relationships in the Dutch infrastructure sector that aim to enhance the quantity and quality of information-based decision-making by implementing digital technologies. The investigated relationships are characterised by differing degrees and types of information uncertainty and equivocality. The authors build on rich data sets including archival data, observations, contract documents and interviews.FindingsAddressing information uncertainty requires invoking contractual control and coordination. Contract clauses should be precise and incentive schemes functional in terms of information requirements. Information equivocality is best addressed by using relational governance. Identifying information requirements and reducing information uncertainty are a prerequisite for the transformation activities that organisations perform to reduce information equivocality.Practical implicationsThe study offers insights into the roles of both governance mechanisms in managing information asymmetry in public–private relationships. The study uncovers key activities for gathering, sharing and transforming information when using digital technologies.Originality/valueThis study draws on IPT to study public–private relationships undergoing DT. The study links contractual control and coordination as well as relational governance mechanisms to information-processing activities that organisations deploy to reduce information uncertainty and equivocality.

Although legitimacy theory provides strong arguments that environmental, social and governance (ESG) disclosure and performance can help mitigate firm-specific (idiosyncratic) risks, this relationship has been repeatedly challenged by conceptual arguments, such as ‘transparency fallacy’ or ‘impression management’, and mixed empirical evidence. Therefore, we investigate this relationship in the revelatory case of initial public offerings (IPOs), which represent the first sale of common stock to the wider public. IPOs are characterised by strong information asymmetry between firm insiders and society, while at the same time suffering from uncertainty in firm legitimacy, culminating in amplified financial risks for both issuers and investors in aftermarket trading. Using data from the United States, we demonstrate that (1) voluntary ESG disclosure reduces idiosyncratic volatility and downside tail risk and (2) higher ESG ratings have lower associated firm-specific volatility and downside tail risk during the first year of trading in the aftermarket. We provide theoretical arguments for the relationships observed, suggesting that companies striving for ESG performance and communicating their efforts signal their compliance with sustainability-related norms, thus acquiring and upholding a societal license to operate. ESG performance and disclosure help companies build their reputation capital with investors after going public. We also report that ESG disclosure is a more consistent proxy for ex-ante uncertainty as an indicator of aftermarket risk, thereby replacing some of the more conventional measures, such as firm age, offered in the existing literature.