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While providing users with important innovation resources, an enterprise's open innovation community also encounters numerous challenges. The purpose of this study is to develop and implement a set of evaluation systems that can identify the ecological characteristics of open innovation communities. The ultimate goal is to provide guidance for the construction and establishment of these communities.

Firstly, from the perspective of information ecology, according to the connotation requirements of the four information elements of “people, information, technology and environment” in the information ecosystem, this paper determines the evaluation indicators of enterprise's open innovation community from the aspects of integrity and dynamics. Then, based on the improved analytic hierarchy process, the weight of each index is calculated, and a complete evaluation system of open innovation community is established. Finally, the fuzzy comprehensive evaluation method is used to conduct empirical research on Haier Open Partnership (HOPE) platform, analyze its ecological situation and existing problems and put forward the corresponding construction recommendations.

The application of HOPE platform shows that the evaluation index system built in this study has good applicability, and the whole research process and research method have certain reference value for future studies. At the same time, the study found that the HOPE platform has good ecological characteristics, but there are also some problems. This study can directly promote the construction of the platform.

This paper, for the first time, combines the information ecology theory with the open innovation community. The results demonstrate that the open innovation community is an information ecosystem, which can be evaluated ecologically. Furthermore, to ensure the calculation's scientific accuracy, the index weight is determined by constructing a judgment matrix based on expert questionnaires.

This paper aims to examine the open innovation engagement process in terms of how online community members create and share knowledge for open innovation and the consequences of engagement.

A mixed methods approach based on netnography (Study 1), qualitative interviews (Study 2) and surveys (Study 3) was adopted in three studies.

The results of Study 1 show that hotel brand community members actively create and share their knowledge by evaluating hotel policies, providing service suggestions and creating new service ideas. The results of Study 2 identified enjoyment and empowerment as major antecedents of the engagement and brand loyalty and a sense of brand community as major consequences. In Study 3, the relationships among them were quantitatively examined.

This research provides empirical knowledge on online engagement and identifies the innovation value of online platforms. The research also provides knowledge on the engagement process for open innovation by online community members in terms of its antecedents and consequences. As a main limitation of the study, this research only focuses on a single online brand community.

While most existing tourism research analyzes the role of user-generated content in customer decision-making, this research provides a fresh insight into the innovation value of customer knowledge.

The internal resources of a firm should not be regarded as the only source of innovation; organizations need to look at the external sources which can contribute greatly. This can happen through the recent development in technologies and the emergence of social media; such advancements have empowered consumers to have social interaction with their peers in online communities. As a source of generation of innovative ideas, company-based communities have not received enough attention, although they are strong drivers for co-creation of value by customers. Easy online communication channels, facilitated through online communities, have developed open innovation as an attractive means of customer involvement in value creation. However, literature in this area is devoid of empirical research on the way consumers can participate in open innovation communities using Web 2.0 technologies. The paper aims to discuss these issues.

This paper, therefore, looks at the opportunities offered by social media to firms for open innovation in the context of new product development (NPD). The study is based on social support theory and the concept of social media generating open innovation; a model for the research has thus been proposed. The model has been tested using partial least square through an online questionnaire.

The results indicate that social media is a cost-efficient way for firms to look at external sources of innovation, specifically in NPD. Online communities, developed specifically for new products, can support the innovation process for the business sector. The paper discusses the results of this empirical research and has some practical implications for practitioners in this field.

The study indicate that social media empower individuals to come online, get involved in social interaction and share their experiences about a new product with other peers in the network. Social media and informational support, as social capital of online communities, both have influence on participation of individuals in the online communities of open innovation for NPD.

This paper aims to explore how open innovation communities contribute to the adoption of building information modelling (BIM) in the construction industry.

The paper presents a cross-case analysis of two construction communities, buildingSMART Norway and the BIM Vietnam Community. Data were collected based on 21 semi-structured interviews conducted with industry experts actively engaged in these two communities. The theoretical basis for the study was open innovation and the institutional intervention model, which delineates institutional actions related to the adoption of new information technology.

The findings show both similarities and differences in the way in which the communities contribute to industrial practice. Both communities use similar knowledge channels and repositories but apply different approaches to innovation creation and diffusion. In addition, trust can support BIM innovation in the community context.

The comparison of buildingSMART Norway and the BIM Vietnam Community in accelerating BIM innovation allows for exploring how open innovation communities support BIM adoption in the construction industry. The findings provide insights for construction communities into creating and diffusing BIM innovation. In addition, the examples of gaining benefits from community innovation activities are useful for construction firms and practitioners.

This study aims to explore how and when learning from others promotes creative performance over the contributor’s tenure in the context of open innovation communities.

The authors analyze a publicly available data set that includes 25,923 innovative items developed by 2,194 contributors from an open innovation community of an online game spanning eight years. Logistic regression model is used for analyzing the data.

The results show that multicultural experiences are negatively related to contributor’s creative performance, and this negative relationship weakens as contributor’s tenure increases. While diverse skills are positively related to contributor’s creative performance, and this positive relationship strengthens as contributor’s tenure increases.

This research highlights the importance of online team collaboration in knowledge transfer through learning from others in open innovation communities. By identifying two outcomes of learning from others through online team collaboration, the authors demonstrate the double-edged role of learning from others and advance the understanding on how the effect of learning from others varies over the contributor’s tenure. These results expand the understanding of online team collaboration and provide a new perspective for research on learning from others.

This research investigates the nature of regulatory-focused effectuation (as the basis of entrepreneurial behavior) in absorptive capacity development for open innovation implementation, the role of crowds or communities management practices in the effectuation-based open innovation process, and open innovation performance as the output of the open innovation process in digital multi-sided platform (MSP) startups context.

In order to verify the hypothesis, the researcher conducts a quantitative study that is based on a self-administered questionnaire and employs the PLS-SEM approach. The sample comprises of 70 Indonesian digital MSP businesses that have been operational for at least three years and have used open innovation approaches with their audiences, communities or complementors.

The research findings imply that there is a connection between promotion-focused effectuation and the open innovation process. This connection is particularly strong when it comes to the incorporation of absorptive capacity and crowds or communities management practices. On the other hand, prevention-focused effectuation shows insignificant effect toward open innovation process in digital MSP startups context.

The research findings imply that with limited resources and experiences, young entrepreneurs can still implement open innovation strategy for their digital MSP platform through effectuation principles that leverage the external resources from digital platform ecosystem members.

In digital MSP startups context that perform promotion-based effectuation principles, innovation performance can be achieved by analyzing new insight, transforming the existing activities with the new insight, creating new offering afterward, as well as strengthening crowds or communities management practices through co-creation activities with platform ecosystem members that may lead into new business model.

The originality of this work is to make a contribution to the literature on strategic entrepreneurship by describing the phenomena of the paradox of resource-based theory; adopting open innovation strategy under constrained initial resources and capabilities scenario.

As users often lack the motivation to contribute their ideas and knowledge in open innovation communities, it is necessary to identify the determinants of users’ contribution. This paper aims to examine users’ contribution in open innovation communities based on the social capital theory.

The authors collected 474 valid responses from a survey and adopted structural equation modeling (SEM) to conduct data analysis.

The results indicated that social interaction, which includes informational and emotional interaction, has a significant effect on social capital, which in turn affects users’ contribution.

The results imply that companies need to facilitate users’ interactions and develop social capital to promote their contribution in open innovation communities.

Although previous research has found the effect of individual motivations such as perceived benefits and behavioural control on innovation community users’ behaviour, it has seldom considered the effect of social capital embedded within the social relationship networking. This research tries to fill the gap and the results disclosed the mechanism underlying open innovation community users’ contribution.

The purpose of this paper is to investigate the roles of online leadership in open collaborative innovation success by extending functional leadership theory in the context of open source projects.

This study uses negative binomial regression models to empirically test the proposed hypotheses with samples of blockchain open source projects on GitHub.

The results indicate that task-oriented leadership behaviors in forms of technical contributions have little influence on open collaborative innovation success; relation-oriented leadership behaviors embedded in internal social capital and external social capital contribute to open collaborative innovation success prominently. Furthermore, the joint effects of technical contributions, internal social capital and community commitment with openness orientation are positively significant on open collaborative innovation success, respectively.

For leaders and participants of open collaborative innovation projects, they should attach importance to both leadership behaviors and the joint effects with openness orientation so as to make informed decisions.

This study offers a new fine-grained framework of open collaborative innovation success by investigating specific dimensions of task-oriented and relation-orientated leadership behaviors, as well as their joint effects with openness orientation.

Open innovation communities are a growing trend across diverse industries because they provide opportunities of collaborating with customers and exploiting their knowledge effectively. Although open innovation communities can be strategic assets that can help firms innovate, firms nonetheless face the challenge of information overload incurred due to the characteristic of the community. The purpose of this paper is to mitigate the problem of information overload in an open innovation environment.

This study chose MyStarbucksIdea.com (MSI) as a target open innovation community in which customers share their ideas. The authors analyzed a large data set collected from MSI utilizing text mining techniques including TF-IDF and sentiment analysis, while considering both term and non-term features of the data set. Those features were used to develop classification models to calculate the adoption probability of each idea.

The results showed that term and non-term features play important roles in predicting the adoptability of ideas and the best classification accuracy was achieved by the hybrid classification models. In most cases, the precisions of classification models decreased as the number of recommendations increased, while the models’ recalls and F1s increased.

This research dealt with the problem of information overload in an open innovation context. A large amount of customer opinions from an innovation community were examined and a recommendation system to mitigate the problem was proposed. Using the proposed system, the firm can get recommendations for ideas that could be valuable for its business innovation in the idea generation phase, thereby resolving the information overload and enhancing the effectiveness of open innovation.