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Corporate donation behavior sends two financial-related signals, i.e. sufficient cash flow and self-confidence in future earnings. This paper aims to investigate whether these financial-related signals released by corporate donation drive investors to make more optimistic forecasts about the firm’s future earnings per share (EPS) and whether this effect varies across different historical earnings trends.

This study is based on a controlled online experiment with 553 MBA students.

The results demonstrate that a financial signaling mechanism works, but it is moderated by historical earnings trends. When the earnings trend is always increasing, the more the number of financial signals received, the higher the investors’ EPS forecast; when the earnings trend is fluctuating (down then up or up then down), investors’ EPS forecast is higher when they receive financial signal(s) than when they do not, but no additive effect occurs from receiving one signal to two signals; when the earnings trend is always decreasing, investors’ EPS forecast is irrelevant to the number of financial signals received.

To the best of the authors’ knowledge, this study is the first to experimentally investigate a possible mechanism to explain investors’ positive response to corporate social responsibility (CSR) (specifically, corporate donation) disclosures – the financial signaling mechanism. This study also extends the research on the impact of financial information on investors’ use of nonfinancial information by investigating the moderating role of historical earnings trends on the financial signaling mechanism of the CSR effect.

Based on signaling theory, this paper aims to explore the impact of supply chain transparency (SCT) on firms' bank loan (BL) and supply chain financing (SCF) in the context of voluntary disclosure of supplier and customer lists.

Based on panel data collected from Chinese-listed firms between 2012 and 2021, fixed-effect models and a series of robustness checks are used to test the predictions.

First, improving SCT by disclosing major suppliers and customers promotes BL but inhibits SCF. Specifically, customer transparency (CT) is more influential in SCF than supplier transparency (ST). Second, supplier concentration (SC) weakens SCT’s positive impact on BL while reducing its negative impact on SCF. Third, customer concentration (CC) strengthens the positive impact of SCT on BL but intensifies its negative impact on SCF. Last, these findings are basically more pronounced in highly competitive industries.

This study contributes to the SCT literature by investigating the under-explored practice of supply chain list disclosure and revealing its dual impact on firms' access to financing offerings (i.e. BL and SCF) based on signaling theory. Additionally, it expands the understanding of the boundary conditions affecting the relationship between SCT and firm financing, focusing on supply chain concentration. Moreover, it advances signaling theory by exploring how financing providers interpret the SCT signal and enriches the understanding of BL and SCF antecedents from a supply chain perspective.

The purpose of this study is to explore the impact of online reviews on answer adoption in virtual Q&A communities, with an eye toward extending knowledge exchange and community management.

Online reviews contain rich cognitive and emotional information about community members regarding the provided answers. As feedback information on answers, it is crucial to explore how online reviews affect answer adoption. Based on signaling theory, a research model reflecting the influence of online reviews on answer adoption is established and empirically examined by using secondary data with 69,597 Q&A data and user data collected from Zhihu. Meanwhile, the moderating effects of the informational and emotional consistency of reviews and answers are examined.

The negative binomial regression results show that both answer-related signals (informational support and emotional support) and answerers-related signals (answerers’ reputations and expertise) positively impact answer adoption. The informational consistency of reviews and answers negatively moderates the relationships among information support, emotional support and answer adoption but positively moderates the effect of answerers’ expertise on answer adoption. Furthermore, the emotional consistency of reviews and answers positively moderates the effect of information support and answerers’ reputations on answer adoption.

Although previous studies have investigated the impacts of answer content, answer source credibility and personal characteristics of knowledge seekers on answer adoption in virtual Q&A communities, few have examined the impact of online reviews on answer adoption. This study explores the impacts of informational and emotional feedback in online reviews on answer adoption from a signaling theory perspective. The results not only provide unique ideas for community managers to optimize community design and operation but also inspire community users to provide or utilize knowledge, thereby reducing knowledge search costs and improving knowledge exchange efficiency.

This study proposes a portfolio of new venture signals that are likely to attract investors' attention in the context of an emerging market and examines how they work in combination to affect the likelihood of obtaining funding.

The authors use data on early-stage venture capital investments for high-tech start-ups in Turkey. The authors adopt a configurational approach and use fuzzy QCA and regression analysis.

The findings suggest that financing of new ventures in an emerging economy is shaped by signals of context-specific capabilities that are required to survive and thrive in this market environment alongside and in interaction with signals of general capabilities required for business success. Different combinations of these signals provide equifinal pathways to obtain funding. Furthermore, signals that differ in type and content interact in complex ways to affect investors' decisions.

The findings suggest that entrepreneurs with no prior experience in the emerging market context can increase their chances of obtaining funding by affiliating with a venture development organization. Another promising strategy is to form a founding team that includes members affiliated with a developed country together with members who have emerging market experience. Finally, entrepreneurs may consider combining signals of context-specific capabilities with signals of general capabilities as they work in a complementary way to attract funding.

This study addresses two major shortcomings of the literature on new venture signaling, first, by positing the emerging market context as a unique signaling environment and, second, by demonstrating the value of considering signals as portfolios with potential interdependencies.

Tracking trends in new technology funding patterns is essential for venture scaling. The emerging advanced digital technologies (ADT) such as virtual reality (VR), artificial intelligence (AI), blockchain and Internet-of-things (IoT) promote business innovation adaptations, and in turn, reshape the industrial landscape. To attract nascent funding for such prospective projects among the public, well-articulated project pitches that are equipped with effective marketing communication convey the projects' importance and marketability. Specifically, when the entrepreneurs and the crowdfunding platform users interact via different types of crowdfunding platforms, pitch framing, including the signaling of ADT terms, project location and fundraising goal, becomes imperative to help facilitate crowdfunding success.

Drawing on data collected from six leading US-based equity and reward-based crowdfunding platforms in 2020, an empirical study was performed. Using the text analysis approach, the authors examined the positive effects of incorporating technology orientation on crowdfunding success. While the effect between the project description's signaling of geographic location, fundraising goal and articulation style on fundraising success, while controlling for project and platform characteristics.

The results suggested that the technology-orientated projects are more likely to achieve better fundraising outcomes. Taking crowdfunding platform types, project locations, minimum fundraising goals and articulation with analytical and authentic into consideration, the results still hold.

Building on the theoretical framework of signaling theory, the authors consider the crowdfunding-specific contextual factors to enhance the understanding of the positivity impact of technology orientation. By such addition, it facilitates more effective strategic composition of entrepreneurs' fundraising conversations.

This study aims to understand the impact of underlying theme in the communication on social media on funding received by early-stage start-ups.

The study is based on empirical testing of data of 849 start-ups and more than 130K tweets. Machine learning (ML) model has been used for text classification of 130K+ tweets. Causal mediation analysis with bootstrapping is carried out for hypothesis testing.

Tweets addressing quality-related uncertainty are a predictor of amount of funds raised. Audience response acts as a mediator between tweets focusing on relational orientation and amount of funds raised.

The authors advance signaling theory by theorizing and investigating the importance of signal content. Endogenous signal of quality directly influences the start-ups outcomes, while exogenous signal helps disseminate information and influence the success.

Entrepreneurs should put in concerted effort to reduce uncertainty about the start-ups. Value creation is a central concept for start-ups; however, communicating value should be the dominant part of social media strategy.

Computer-based language processing techniques have amplified the research focused on content. To the best of the authors’ knowledge, this is the first comprehensive study that explores underlying themes of communication of start-ups and their impact on acquiring funds.

Applying signaling theory to Schein’s organizational culture framework, this study aims to explain how restaurants communicate that their establishments value wine through multiple cultural attributes.

A phenomenological research design was adopted to conduct three focus groups with 14 restaurateurs about wine culture. Conversational analysis with Straussian coding was used.

A comprehensive definition of wine culture was provided, and five factors emerged that signal the presence of a wine culture. A wine presence includes a wine list, marketing efforts, community involvement and restaurant aesthetics. Employee traits are defined by individual attributes, communications skills and overall knowledge (training). Restaurant identity reflects the cultural alignment and customer relationship expectations set forth by ownership. Organizational structure reflects a restaurant’s hierarchy within which an individual or department is afforded the freedom to invest in wine. Future alignment reflects generational differences and trends in wine preferences and consumption.

Researchers are provided a wine-culture definition and framework for wine research. Restaurants can use the study’s findings to formulate strategies for establishing a wine culture.

This study provided a framework for restaurateurs who wish to be known for wine to implement. Researchers and restaurateurs may facilitate communication between guests, staff and an organization regarding wine as a means of creating a competitive advantage.

Ethereum-based blockchain technology (EBT) affords members of the Enterprise Ethereum Alliance (EEA) a market advantage in deploying blockchain within their organizations, including cybersecurity and operational benefits, that leads firms to strategically invest in this nascent technology. However, the impact of such strategic investments in EBT has yet to be explored in the context of its relationship to firm value. Therefore, this study explores EBT-specific firm-level characteristics that result in a stock market reaction to announcements of strategic investments.

The authors use the event study methodology, strategic investment literature and signaling theory as contextualizing frameworks for their study. Additionally, the authors explore a new method for examining technology investments as a strategic counter to cybersecurity threats.

Firms that signal to the market their strong commitment to their strategic investment by developing an EBT proof of concept see significantly higher market returns. Firms that have had prior cybersecurity incidents are rewarded by the market for strategically investing in EBT, and when firms with large undistributed free cash flows utilize this cash for strategic EBT investment, the market is more likely to reward these firms, indicating the market views EBT investment positively in these circumstances.

The results of this study provide new evidence of the value impact of EBT for firms that suffered cybersecurity events in the past. The authors provide empirical evidence of firm-level characteristics that investors use to discern whether a strategic investment in EBT will drive organizational value. Likewise, the authors demonstrate how signaling affects investor perceptions of strategic information technology (IT) investments in EBT.

The purpose of this study is to examine how crowdfunding backer perceptions of market orientation and foreignness impact crowdfunding performance in emerging economies.

Using content analysis software, the authors analyzed 756 Kickstarter campaign narratives from the emerging economies of Brazil, Russia, India, China, and South Africa for the period between 2009 and 2019.

The authors’ results show that behavioral market orientation signals are positively related to amounts raised while decision criteria signals are negatively related. The authors also find that foreign entrepreneur status interacts with the two market orientations to impact funding amounts.

When creating crowdfunding campaigns in emerging economies, domestic entrepreneurs should use high levels of behavioral market orientation rhetoric but low levels of decision criteria rhetoric within their campaign narratives.

This study unpacks the components of market orientation and examines their positive and negative effects on crowdfunding success in the context of emerging economies.

Crowdfunding, an alternative funding source to support entrepreneurial initiatives, has increasingly attracted the attention of scholars. However, knowledge of the drivers and outcomes of crowdfunding is currently scant. This study thus presents a review of the extant literature on new ventures soliciting crowdfunding.

The authors conducted a systematic literature review (SLR) of peer-reviewed articles, identifying and thematically analyzing 58 publications.

The thematic analysis revealed six main themes: a) founders and crowdfunding, b) signaling and crowdfunding, c) digitalization and crowdfunding, d) outcomes, e) geography and crowdfunding and f) success factors. In addition, crucial research gaps are identified to guide future research.

Beyond classifying the material on the basis of the thematic analysis and identifying potential future research avenues, the study has main implications. The authors detailed how crowdfunding, as a source of entrepreneurial funding, differed from other funding sources and explored entrepreneurial challenges that may be encountered in managing crowdfunding campaigns. The findings may thus help in the design of crowdfunding campaigns and serve educators in various disciplines when teaching and training participants on designing and promoting crowdfunding campaigns.

After identifying and integrating results from relevant articles on crowdfunding, the authors explained dominant themes in the literature and proposed a conceptual framework wherein the authors highlight factors that influence crowdfunding outcomes. The authors highlight the increasing relevance of crowdfunding for new ventures and elucidate avenues for future research.