Factors Affecting Success of Serial Crowdfunding: From Heuristic and Systematic Perspectives

Much of the current crowdfunding literature focuses on revealing determinants of one-time crowdfunding performance. However, the impacts of existing platform cues on serial crowdfunding performance remain largely unexplored. Drawing heuristic-systematic model, this study examines how performance-based heuristics cues and opinion-based systematic cues exert differential impacts on subsequent crowdfunding performance. This paper will fill the research gap in the crowdfunding literature by examining how backers are processing performance-related and opinion-related information when making decisions in serial crowdfunding context

Online Leadership for Open Source Project Success: Evidence from the GitHub Blockchain Projects

Blockchain technology has become increasingly popular in recent years. However, only 8% of blockchain open source projects are maintained actively on GitHub. Drawing on the online leadership literature, this study seeks to understand the correlation between leader characteristics and success of blockchain open source projects from the behavioral (knowledge contribution), structural (social capital) and cognitive (openness orientation) dimensions. Considering the unique decentralization nature of blockchain, this study further investigates the contingency effect of blockchain archetypes with empirical evidence from GitHub. Our findings provide novel insights for understanding the determinants of blockchain open source project success and leadership behaviors in the online community

MORE THAN THE TONE: THE IMPACT OF SOCIAL MEDIA OPINIONS ON INNOVATION INVESTMENTS

Social media is a valuable knowledge source for firm innovation. Extending the literature of both social media and innovation management, we attempt to examine how the valence and volume of user-generated content (UGC) from social media influence firm organizational innovation behav-iours. In this research-in-progress study, we have reviewed the existing literatures and proposed three hypotheses. Firstly, we propose that valence of UGC from social media has a U-shaped rela-tion with firm innovation investments. In particular, compared with neutral UGC, both negative and positive contents are found to push firms to invest more in innovation. Secondly, we argued that such a curvilinear relation is mitigated with an increase in volume of UGC. Last but not least, we argued that firm investment in innovation improves firm performance. To validate our pro-posed hypotheses, we have designed an innovative framework of sentiment analysis and collected a large dataset including 5-year panel with 886 listed firms and their relevant 6.2 million micro-blogs. The preliminary results from applying sentiment analysis into the collected dataset are re-ported in this study. In the future, we will validate our hypotheses with more sophisticated estima-tion models and strict robustness check. The potential contribution to theory and practice is also discussed

A Deep Learning Based Model for Driving Risk Assessment

In this paper a novel multilayer model is proposed for assessing driving risk. Studying aggressive behavior via massive driving data is essential for protecting road traffic safety and reducing losses of human life and property in smart city context. In particular, identifying aggressive behavior and driving risk are multi-factors combined evaluation process, which must be processed with time and environment. For instance, improper time and environment may facilitate abnormal driving behavior. The proposed Dynamic Multilayer Model consists of identifying instant aggressive driving behavior that can be visited within specific time windows and calculating individual driving risk via Deep Neural Networks based classification algorithms. Validation results show that the proposed methods are particularly effective for identifying driving aggressiveness and risk level via real dataset of 2129 drivers’ driving behavior

Investigating the Relationship among Characteristics of Social Commerce, Consumers’ Trust and Trust Performance

Social commerce as a subset of e-commerce, popularizes rapidly with an increasing number of users, and consumers’ trust has become a crucial factor in the success of social commerce firms, and impacts on their decision on purchasing. In this regard, the study tries to research the characteristics of social commerce (transaction safety, concentration and enjoyment, communication and information quality) that influence consumers’ trust and assess the effects of trust on trust performance (purchase and word-of-mouth intentions), and trust performance will provides a basis for consumers to decide to purchase, and put forward feasible suggestions to social commerce firms. The results of an empirical analysis based on a sample of 133 users indicate that all the characteristics of social commerce involved had significant effects on trust, and then will positively influence trust performance

Abnormal bile acid metabolism is an important feature of gut microbiota and fecal metabolites in patients with slow transit constipation

Destructions in the intestinal ecosystem are implicated with changes in slow transit constipation (STC), which is a kind of intractable constipation characterized by colonic motility disorder. In order to deepen the understanding of the structure of the STC gut microbiota and the relationship between the gut microbiota and fecal metabolites, we first used 16S rRNA amplicon sequencing to evaluate the gut microbiota in 30 STC patients and 30 healthy subjects. The α-diversity of the STC group was changed to a certain degree, and the β-diversity was significantly different, which indicated that the composition of the gut microbiota of STC patients was inconsistent with healthy subjects. Among them, Bacteroides, Parabacteroides, Desulfovibrionaceae, and Ruminiclostridium were significantly upregulated, while Subdoligranulum was significantly downregulated. The metabolomics showed that different metabolites between the STC and the control group were involved in the process of bile acids and lipid metabolism, including taurocholate, taurochenodeoxycholate, taurine, deoxycholic acid, cyclohexylsulfamate, cholic acid, chenodeoxycholate, arachidonic acid, and 4-pyridoxic acid. We found that the colon histomorphology of STC patients was significantly disrupted, and TGR5 and FXR were significantly downregulated. The differences in metabolites were related to changes in the abundance of specific bacteria and patients’ intestinal dysfunction. Analysis of the fecal genomics and metabolomics enabled separation of the STC from controls based on random forest model prediction [STC vs. control (14 gut microbiota and metabolite biomarkers)—Sensitivity: 1, Specificity: 0.877]. This study provided a perspective for the diagnosis and intervention of STC related with abnormal bile acid metabolism

A better start: board diversity matters in assessing stock price crash risk

Purpose: The determinants that contribute to reducing stock price crash risk have garnered attention from scholars and practitioners. However, our understanding of the relationship between board diversity and stock crash risk, as well as the contextual factors that influence this relationship, remains limited. To address this gap, this study aims to investigate how different attributes of board diversity affect stock price crash risk, particularly under conditions of higher performance hazard and ownership concentration. Design/methodology/approach: Using a two-stage least squares fixed-effects estimator, the authors analyze a panel data set of 1,792 firm-year observations across 282 firms listed on the KOSPI200 from 2010 to 2019. Findings: Relation-oriented diversity reduces future stock price crash risk, particularly when firms experience performance shortfalls and have concentrated ownership structures, but task-oriented diversity has no significant effects. The results imply that only relation-oriented diversity strengthens governance mechanisms by curtailing managerial bad news withholding behaviors, and the role of relation-oriented diversity in reducing stock crash risk becomes more crucial when firms have higher performance hazard and concentrated ownership. Originality/value: This study makes crucial contributions as follows: the authors contribute to the stock crash risk literature by shifting the focus from how to when board diversity matters in assessing stock crash risk; the authors extend the board diversity research and enhance scholarly understanding of the effects of board diversity on corporate governance by highlighting that not all aspects of board diversity improve firm governance mechanisms; and the authors widen the lens from a single attribute to multiple attributes of diversity to reveal the effects of diversity on boards in assessing future crash risk

Do I Need A Tune-up? An Experimental Study of App Usage on Driving Performance Improvement

Information technology is playing an increasingly essential role in reducing driving risk by helping individuals improve their safe driving behavior. The purpose of this research is to empirically examine the effects of IT, exposure to mobile app usage, on individual’s driving behavior changing. Based on motivational theory, this study investigates how driving-assistant app usage influences driver’s behavior and further influences their driving performance. A field experiment is designed to collect the individual app usage and driving data from 200 drivers. The research results will benefit both IT designers and drivers theoretically and practically

Leading digital business model transformation in the K-pop industry: the case of SM Entertainment

Despite the role of digital technologies in increasing the popularity of K-pop, little is known about how K-pop entertainment companies digitally transform their business models and the driving forces that shape this transformation. In this study, we present an in-depth case study of a pioneering K-pop entertainment company, SM Entertainment, whose founder’s charismatic leadership and organizational capabilities contribute to the digital transformation of its business model through market-pioneering strategies and strategic learning derived from continuous interactions with changing business environments. This transition to the digital business model ultimately leads to sustainable competitive advantages in the marketplace. The important theoretical and practical implications of the findings are discussed

Impact of Free Online Medical Consulting Service on Physician Performance

With the proliferation of e-healthcare, free online medical consulting service has become increasingly popular in recent years. However, the impacts of it remain largely unexplored. Current literature reports inconsistent and conflicting evidences on the relationship between free service and follow-up performance. Furthermore, prior studies didn’t address the effects of free medical service and their interaction effects with individual traits on physician performance. Drawing on e-healthcare literature, this study thus seeks to provide a better understanding of the correlations between free online medical consulting service and subsequent performance of online physicians. The effects of free online medical consulting service and the moderation effects of physician\u27s traits are tested with data collected from an online healthcare platform. Preliminary findings show that free service could improve physician performance and such incentive would be more effective for new platform entrants and low professional title physicians. We also highlight the role of differing levels of price setting, as this factor may be a reason for the conflicts concerning the impact of free service