Which Positive Feedback Matters? The Role of Language Concreteness and Temporal Effect in Continuous Contribution in Open Innovation Community

The feedback mechanism is the basis for motivating users to make continuous contributions in the Open Innovation Community (OIC). Although previous studies have revealed the overall role of positive feedback in promoting continuous user contribution, it is not clear which type of positive feedback is more effective and how it changes over time. To solve these problems, we constructed a research model based on reinforcement theory and took Lego Ideas, a typical OIC, as the research object to crawl users’ ideas and feedback data for empirical analysis. The results confirmed the effect of positive feedback and further demonstrated that, the effectiveness of positive feedback varies based on feedback concreteness and the tenure of the focal user. Our study contributes to the literature on how feedback affects user contributions in online communities by refining the classifications of feedback, and provide practical guidance for companies to motivate users to contributing ideas continuously

Oridonin nanosuspension was more effective than free oridonin on G2/M cell cycle arrest and apoptosis in the human pancreatic cancer PANC-1 cell line

Oridonin, a diterpenoid isolated from Rabdosia rubescencs, has been reported to have antitumor effects. However, low solubility has limited its clinical applications. Preparation of drugs in the form of nanosuspensions is an extensively utilized protocol. In this study, we investigated the anticancer activity of oridonin and oridonin nanosuspension on human pancreatic carcinoma PANC-1 cells. 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay was performed to investigate the effect of oridonin on cell growth. Propidium iodide and Hoechst 33342 staining were used to detect morphologic changes. The percentage of apoptosis and cell cycle progression was determined by flow cytometric method staining with propidium iodide. Annexin V-fluorescein isothiocyanate (FITC)/PI staining was used to evaluate cell apoptosis by flow cytometry. Caspase-3 activity was measured by spectrophotometry. The apoptotic and cell cycle protein expression were determined by Western blot analysis. Both oridonin and oridonin nanosuspension induced apoptosis and G2/M phase cell cycle arrest, and the latter had a more significant cytotoxic effect. The ratio of Bcl-2/Bax protein expression was decreased and caspase- 3 activity was stimulated. The expression of cyclin B1 and p-cdc2 (T161) was suppressed. Our results showed that oridonin nanosuspension was more effective than free oridonin on G2/M cell cycle arrest and apoptosis in the human pancreatic cancer PANC-1 cell line

Sustainable Knowledge Contribution in Open Innovation Platforms: An Absorptive Capacity Perspective on Network Effects

In open innovation platforms, users learn external knowledge through network interaction, and their position in the interactive network has an impact on the user’s sustainable knowledge contribution. Due to the gap in knowledge level, users’ absorption and utilization efficiency of external knowledge is not consistent. We studied the differences in user sustainable knowledge contribution behavior from the perspective of knowledge absorption. We crawled the data of a typical open innovation platform, used LDA to identify the level of user knowledge diversity and social network technology to analyze the user’s network location, and used the negative binomial regression model for empirical analysis. Our results show that knowledge diversity positively affects user knowledge contribution, and network breadth and network depth have positive and negative effects on user knowledge contribution behavior, respectively. In addition, the level of user knowledge diversity moderates the influence of network location on knowledge contribution. In summary, this research not only provides a comprehensive perspective on our current understanding of the contribution behavior of open innovation platforms, but also provides an in-depth understanding of how open innovation platforms can be properly designed to promote continuous contributions

Spillover Effects of Interactions on User Innovation: Evidence from a Firm-hosted Open Innovation Platform

Firm-hosted open innovation platforms (OIPs) enable multidirectional communication and interaction between users, and they have become a vital IT artifact that absorbs external resources for enterprise innovation. A key challenge for OIPs is how to motivate users’ idea contributions. Based on the SIAM model, we propose hypotheses regarding the spillover effects of user interactions (i.e., help giving and help seeking) on innovation performance (i.e., the quantity and quality of ideas). Using a dataset from a typical OIP, we employ two empirical studies to investigate the spillover effects of user interactions and their characteristics, including breadth and depth, on innovation performance. Our results confirm the existence of spillover effects and reveal a positive effect of interaction breadth and a nonlinear effect of interaction depth on innovation. Notably, the nonlinear relationship can be moderated by the interaction breadth. Our findings provide both theoretical and practical implications for user innovation and OIP operation

Adoption of Mobile Government Cloud from the Perspective of Public Sector

Mobile cloud computing (MCC) has been widely used in every aspect of our society, bringing both advantages and challenges. However, the adoption of MCC technology is still at an early stage of implementation in the governments. To promote the adoption and diffusion of MCC in the government area, exploring the determinants and influence mechanisms of mobile cloud computing-based government (m-Gov cloud) adoption has become the focus in academic and industry. Based on the technology-organization-environment framework and trust theory at the organizational level, an integrated model including the determinants on the adoption of m-Gov cloud is proposed, and 93 survey samples from China are used to analyzed by partial least squares structural equation modeling (PLS-SEM). The results show that provider competence, organizational readiness, external pressure, and trust of m-Gov cloud have significant effects on m-Gov cloud adoption. Perceived benefit, perceived risk, and provider competence have significant effects on m-Gov cloud trust. The m-Gov cloud trust plays an indirect-only (full) mediation and a complementary (partial) mediation effect between perceived benefit, provider competence, and m-Gov cloud adoption, respectively, while perceived risk has no significant direct and indirect effect on m-Gov cloud adoption. The findings provide a new research perspective and practice insights to promote the implementation of solutions based on the idea of mobile cloud computing

Research on the Innovation Performance of OIP

Enterprises establish OIP (open innovation platform) to improve innovation performance, but choosing which idea to convert is a complex decision-making problem. This research focuses on consumer feedback and uses text mining methods to obtain the consumer satisfaction of innovative products from online reviews to measure innovation performance. Based on innovation value chain theory and innovation literature, we propose a model that can help determine how to manage ideas for higher consumer satisfaction by exploring the three aspects of an idea in OIP: commonness, discussion and support. Our preliminary empirical research found that products converted from ideas with higher degree of commonness, discussion and support are more likely to gain good consumer satisfaction. This research contributes to the OIP literature and provides insights for the management of OIP in enterprises

Examining the Antecedents of Idea Contribution in Open Innovation Platforms: Differentiation between Employee Users and Product Users

The open innovation platform (OIP) hosted by the company has become an important source of knowledge and expertise for innovation and new product development. Existing literature mainly focuses on product users, ignoring the role of employee users in the platform. Based on the perspective of impression management theory and self-efficacy theory, this paper attempts to bridge this gap by investigating the differential influencing factors of the idea contribution of employee users and product users. We find that direct experiences, vicarious experiences, peer support, and platform support have a significant positive impact on users’ contribution of ideas. The employee users’ contribution of ideas is more affected by peer support and platform support, while product users are more susceptible to direct experiences and vicarious experiences. In addition, employee users contribute more ideas than product users. Finally, we discuss the theoretical and practical significance of the research

Network Redundancy and Knowledge Contribution in Online Innovation Communities: A Conditional Process Analysis

Customer knowledge contribution is an important source of enterprise innovation. Hence enterprises start to attract users to contribute their knowledge through online innovation communities. This study adopts a social network perspective to investigate how the network characteristics (i.e., network redundancy) influence users’ knowledge contribution in online innovation communities. Using data from a typical innovation community — LEGO IDEAS, we construct a conditional process model to deeply examine the influencing path, in terms of the mediation process and the moderation. The results show that information redundancy mediates the effect between network redundancy and knowledge contribution. Moreover, the effect is stronger for users with smaller network size

Contributions of Biotic and Abiotic Factors to the Spatial Heterogeneity of Aboveground Biomass in Subtropical Forests: A Case Study of Guizhou Province

The spatial heterogeneity on a regional scale of forest biomass is caused by multiple biotic and abiotic factors. However, the contributions of biotic and abiotic factors to the spatial heterogeneity of forest biomass remain unclear. Based on the data of the National Forest Continuous Inventory (NFCI), digital elevation model (DEM), and meteorological data of Guizhou Province in 2015, we studied the spatial heterogeneity of the aboveground forest biomass in Guizhou province and evaluated the contribution rates of its influencing factors using Moran’s I, semivariogram, distance-based Moran’s eigenvector maps (dbMEMs), and variance partitioning. The results showed that the forest biomass in Guizhou province had strong spatial heterogeneity. Biotic and abiotic factors explained 34.4% and 19.2% of the spatial variation in forest biomass, respectively. Among the biotic factors, the average height of the stand had the greatest influence on forest biomass, while annual precipitation had the greatest influence on forest biomass among abiotic factors. Spatial factors only explained 0.7% of the spatial variation of forest biomass, indicating that the contribution of spatial factors can be explained by some measured abiotic factors. This study provided an effective approach to understand the underlying mechanisms of spatial allocation of forest biomass

What Kind of Ideas Are More Attractive? ——A Language Signal Model of Idea Recognition

The open innovation platform provides opportunities for product users to exchange innovative ideas and experiences. Maintaining high-quality idea output is a prerequisite for the long-term development of the platform. We adopt the overall theoretical framework of signal theory and propose a model to explain the influence of idea language features on idea recognition. Through empirical research on 18777 ideas of Salesforce TrailBlazer Community, a language signal model that affects the idea recognition of open innovation platforms is constructed, and the influence of different language signals on idea recognition is analyzed. The results show that information redundancy, text legibility, and text valence have a positive impact on idea recognition, while subject diversity and emotional subjective have a negative impact on idea recognition. The research results can provide useful guidance and reference for text feature recognition of idea quality