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

Gamified Double-Edged Sword: Exploring the Different Social Comparison Motives of Mobile Fitness App Users - Research in Progress

Mobile fitness applications (a.k.a. “apps”) are widely used to manage personal health records. The success of fitness apps hinges on their ability in promoting users’ exercise activities. The gamified design element has been widely employed by fitness apps as an effective approach to motivate users to exercise more. However, the efficacy of different gamified elements in influencing users’ subsequent exercise behaviors is still under debate in both research and practice. In this research-in-progress paper, we anchor the social comparison mechanisms to accordingly design gamification elements and demonstrate the dual impact of gamification on users’ exercise behavior change. In addition, we argue that the improvement of users’ exercise performance hinges on the extent to which users’ dispositional approach avoidance temperament is aligned with user’ gamification-enabled social comparison motives. The theoretical inference will guide a future field experiment by testing the effect of gamification on the users’ exercise performance change

From Internal to External: An Integrated Theoretical Framework for Open Innovation

The traditional resource-based view (RBV) accentuates the heterogeneous and imperfect mobile resources serve as key determinants of the competitiveness of organizations. However, social capital theory seems to be advocated leveraging the resources residing in the relationships among individuals to facilitate the organizational performances. The open innovation product, i.e., an Open Source Software (OSS) project, consists of a group of self-organizing individuals who collaboratively co-create an innovation. Much of our understandings of OSS an open innovation is based on studies that focused on the internal resources (i.e., on the co-workers predominantly) leaving little regards to the fact that such an open innovation organization functions in a larger community of projects and people. In this regard, it is imperative to jointly build upon the RBV and social capital theory to take a broader, embracing investigation of an open innovation, i.e. open source software (OSS), system to unveil how internal and external resources can facilitate the innovation legitimacy. In particular, the internal resources include the tangible resources, such as workforce and extent of contribution, and intangible resource like governance structure. The external resources include diverse forms of social capital, such as structural, cognitive, and relational social capital. This ongoing work proposed a theoretical framework to articulate how the interplay between internal and external resources can promote the innovation legitimacy in the OSS context

Comparative analysis of phosphoproteomic in the intestine of Sepia lycidas under different salinity environments

Cuttlefish are sensitive to the breeding environment, and the low-salinity environment significantly impacts their growth and immunity. So far, it is difficult to breed this species artificially. This study was conducted in Sepia lycidas. And the aim was to investigate the differences in protein phosphorylation in the intestine of S. lycidas under different salinity conditions. Firstly, 999 phosphoproteins (specific peptide ≥ 1), 1928 phosphopeptides, and 2727 phosphorylation sites were identified. Among them were 284 down-regulated expression phosphorylation sites (corresponding to 115 phosphoproteins) and 674 up-regulated expression phosphorylation sites (corresponding to 408 phosphoproteins) in the intestine under a low salinity environment compared with that under a natural salinity environment. Next, GO analysis found that more phosphoproteins corresponding to differentially expressed phosphorylation sites were related to anatomical structure development, multicellular organism development, regulation of the cellular process, etc. The molecular functions of these proteins mainly contain protein binding, transferase activity, catalytic activity, and heterocyclic compound binding. And they are mainly involved in the cellular components of intracellular anatomical structure, organelle, and cytoplasm. KEGG enrichment analysis of the differential phosphoproteins suggested that many significantly enriched pathways were related to the phosphatidylinositol signaling system, cell junction (adherens junction and tight junction), and inositol phosphate metabolism. Finally, changes in environmental salinity can affect the intestinal structure, metabolism, and immune homeostasis of S. lycidas

The Contingent Role of Interproject Connectedness in Cultivating Open Source Software Projects

A better understanding of the key to successful open-source software (OSS) development continues to motivate research. Aligned with work that builds on the notion that an OSS development is tightly interrelated with its social environment (i.e., the OSS community), this study examines the relationship between interproject structure and OSS project success. OSS project success is reflected in two forms: popularity and knowledge creation. Extending the extant OSS literature, we theorize a contingent role of interproject connectedness. In particular, we posit three points: (1) an OSS project with more structural holes achieves higher popularity; (2) an OSS project with fewer structural holes yields higher knowledge creation; and (3) these two relationships are enhanced by an increase in project maturity. Using a dataset longitudinally collected from SourceForge.net, we found that OSS projects with widespread connectedness are more popular. This is especially so for those OSS projects in the mid-mature stage. We also found that OSS projects with a cohesive network achieve higher knowledge creation, irrespective of their maturity. Findings from our study can contribute to OSS literature by identifying OSS projects that are more likely to be successful

Association of genetically predicted 486 blood metabolites on the risk of Alzheimer’s disease: a Mendelian randomization study

BackgroundStudies have reported that metabolic disturbance exhibits in patients with Alzheimer’s disease (AD). Still, the presence of definitive evidence concerning the genetic effect of metabolites on AD risk remains insufficient. A systematic exploration of the genetic association between blood metabolites and AD would contribute to the identification of new targets for AD screening and prevention.MethodsWe conducted an exploratory two-sample Mendelian randomization (MR) study aiming to preliminarily identify the potential metabolites involved in AD development. A genome-wide association study (GWAS) involving 7,824 participants provided information on 486 human blood metabolites. Outcome information was obtained from a large-scale GWAS meta-analysis of AD, encompassing 21,982 cases and 41,944 controls of Europeans. The primary two-sample MR analysis utilized the inverse variance weighted (IVW) model while supplementary analyses used Weighted median (WM), MR Egger, Simple mode, and Weighted mode, followed by sensitivity analyses such as the heterogeneity test, horizontal pleiotropy test, and leave-one-out analysis. For the further identification of metabolites, replication and meta-analysis with FinnGen data, steiger test, linkage disequilibrium score regression, confounding analysis, and were conducted for further evaluation. Multivariable MR was performed to assess the direct effect of metabolites on AD. Besides, an extra replication analysis with EADB data was conducted for final evaluation of the most promising findings.ResultsAfter rigorous genetic variant selection, IVW, complementary analysis, sensitivity analysis, replication and meta-analysis with the FinnGen data, five metabolites (epiandrosterone sulfate, X-12680, pyruvate, docosapentaenoate, and 1-stearoylglycerophosphocholine) were identified as being genetically associated with AD. MVMR analysis disclosed that genetically predicted these four known metabolites can directly influence AD independently of other metabolites. Only epiandrosterone sulfate and X-12680 remained suggestive significant associations with AD after replication analysis with the EADB data.ConclusionBy integrating genomics with metabonomics, this study furnishes evidence substantiating the genetic association of epiandrosterone sulfate and X-12680 with AD. These findings hold significance for the screening, prevention, and treatment strategies for AD

Electrospinning Fabrication, Structural Analysis, Thermomechanical, Lyophobic, and Biocompatible Properties of Cottonseed Protein Isolate/Poly(ethylene oxide) Composite Fiber Mats

Macroscopic, robust, lyophobic, and biocompatible protein fiber mats derived from cottonseed protein isolate (CPI) as a renewable feedstock were successfully fabricated by electrospinning, with the incorporation of poly(ethylene oxide) (PEO) for fiber spinnability improvement. Influences of spinning solution concentration, CPI:PEO ratio, fiber-collecting velocity, and epoxidized linseed oil (ELO) content on the fiber mat properties were investigated. The fiber mats collected at high speeds showed clear increases in tensile strength and stiffness, which were largely due to the stretching effect on favoring polymer chain alignment, crystal orientation, and protein secondary structure ordering, as revealed by SAXS/WAXS and ATR-FTIR peak deconvolution analysis across multiple scales including the fundamental molecular level. In addition, the mechanical properties and thermal stability of the fiber mat can be further improved using ELO as a green cross-linking agent. Furthermore, the CPI/PEO fiber mats show excellent solvent resistance, reduced surface free energy, low water vapor permeability, and superior biocompatibility. The reported fiber mats hold great potential in biomedical dressing, air filtration, and biodegradable packaging applications.</p