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The purpose of this paper is to develop a framework for identifying the most promising user-generated ideas in user communities.

To develop the framework, each user-generated idea is first classified into a specific category depending on its source, such as market trend-, need-, solution- or mental ideation-based ideas. The degree of shared identity (shared agreement minus shared disagreement) based on user votes for each idea within the user community is then evaluated.

This study argues that unlike need-based user-generated ideas, trend-based ideas will not succeed in the marketplace even if they receive the highest ratings or the most votes from community members, and that hence such trend-based ideas should not be implemented. Moreover, solution- and mental ideation-based user ideas, even though they receive the lowest ratings or fewest votes from community members, are more likely to succeed in the marketplace, and thus, such ideas should not be discarded.

Community- and idea-level variables are combined to identify the most promising user-generated ideas for firms. This prevents overlooking the most promising ideas simply because their popularity is low within the user community. Moreover, this method prevents selecting the least promising ideas even though their popularity is high with the user community.

This study aims to predict popular contributors through text representations of user-generated content in open crowds.

Three text representation approaches – count vector, Tf-Idf vector, word embedding and supervised machine learning techniques – are used to generate popular contributor predictions.

The results of the experiments demonstrate that popular contributor predictions are considered successful. The F1 scores are all higher than the baseline model. Popular contributors in open crowds can be predicted through user-generated content.

This research presents brand new empirical evidence drawn from text representations of user-generated content that reveals why some contributors' ideas are more viral than others in open crowds.

This research suggests that companies can learn from popular contributors in ways that help them improve customer agility and better satisfy customers' needs. In addition to boosting customer engagement and triggering discussion, popular contributors' ideas provide insights into the latest trends and customer preferences. The results of this study will benefit marketing strategy, new product development, customer agility and management of information systems.

The paper provides new empirical evidence for popular contributor prediction in an innovation crowd through text representation approaches.

When a concept is diffusely defined or, as this article argues, “taken for granted”, it becomes very difficult to track such concept on the literature and have some continuity as researchers build on top of previous results. This article proposes a definition for user-generated content, a term that though has lost some saliency, stands in the center or the social media phenomenon, so it should not be disregarded as an object of study.

Celebrating 20 years of the concept, this research performs a multidisciplinary literature review of 61 academic articles on UGC. Through deconstruction of the acronym UGC, it builds on the present converging, conflicting and diverging definitions and/or approaches to UGC on an attempt to consolidate a broader definition that encompasses the complexities of the phenomenon in a context of consolidation of social media, to be applied to social sciences.

Following the present analysis, UGC is defined as any kind of text, data or action performed by online digital systems users, published and disseminated by the same user through independent channels, that incur an expressive or communicative effect either on an individual manner or combined with other contributions from the same or other sources.

This is the first academic effort that aims to create an in-depth dialogue over the different approaches to UGC across disciplines on the social sciences field. It should help reignite interest in the acronym, which got somehow eclipsed by the broader field of social media; whilst without UGC, social media would not exist or would not have the same social impact it does in its current form. Analogously, UGC as a topic of research has been deeply affected by the emergence and consolidation of Social Media. As this debate evolves, this contribution should be helpful as a reference to operationalize UGC on future research.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-06-2020-0258

This paper aims to visualize the communication processes between stakeholders who discuss, reach consensus and engage with user-generated ideas through an open innovation platform facilitated by Destination Management Organization (DMO).

Various discussion and interaction styles between the different types of stakeholders on the innovation platform are analyzed using quantitative content analysis. Likewise, perceived issues among the stakeholders that motivate collaboration and consensus are identified.

This paper identifies that stakeholders interact with each other, reach agreements and solve joint problems on the platform by using predominantly constructive interaction styles. Meanwhile, feasibility and strategic issues appear to be the most dominant topics when discussing the fruition of ideas; however, this depends significantly on the category of the idea.

DMOs are given an understanding of why and how stakeholders engage with a certain idea and the kind of challenges they perceive when pursuing the execution of an idea. DMOs are advised to carefully design an open innovation platform to facilitate effective online discussions that may lead to working groups.

There is a scarcity of approaches in the field of tourism that invite stakeholders to innovate. This study aims to close this gap in tourism research by identifying how and which stakeholders respond to an invitation from a DMO to engage in an open innovation platform and, subsequently, how they interact with other partners to foster collaborative innovation projects in their destination.

This paper aims to explore what factors motivate consumers to engage in co-creation innovation activities. The authors propose that motivations differ across types of activities, whether working independently, as part of a community or directly with the firm. They offer theoretical explanations as to why this might be the case.

Adopting an exploratory research design, the study consists of a series of online interviews with participants in the gaming and video games industry.

Motivations appear to differ across types of co-creation efforts. Innovating independently of the firm appears to be driven by egocentric motives; innovating as part of a community appears to be driven by altruistic motives; and innovating directly in collaboration with the firm appears to be driven by opportunity- (or goal-)related motives.

Understanding the factors that motivate consumers to engage in co-creation activities enables firms to strategically manage their co-creation relationships and innovation processes.

The study shows that although motivations diverge across types of co-creation activities, a set of common motivators exist that underpin engagement regardless of the form of co-creation. However, these overarching motivators differ in how they can be successfully used towards co-creation. The study draws on theories of extrinsic and intrinsic motivation, tension-reducing, self-efficacy and expectancy theories, to explain why differences persist. This enables researchers to consider how value might be optimised across varying forms of co-creation, and build better studies into the management and performance implications of consumer value co-creation.

This study aims to explore how online reviews and users’ social network centrality interact to influence idea popularity in open innovation communities (OICs).

This study used Python to obtain data from the LEGO Innovation Community. In total, 285,849 reviews across 4,475 user designs between March 2019 and March 2021 were extracted to test this study’s hypotheses.

The ordinary least square regression analysis results show that review volume, review valence, review variance and review length all positively influence idea popularity. In addition, users’ in-degree centrality positively interacts with review valence, review variance and review length to influence idea popularity, while their out-degree centrality negatively interacts with such effects.

Drawing on the interactive marketing perspective, this study employs a large sample from the LEGO community and examines user design and idea popularity from a community member’s point of view. Moreover, this study is the first to confirm the role of online reviews and user network centrality in influencing idea popularity in OICs from a social network perspective. Furthermore, by integrating social network analysis and persuasion theories, this study confirms the interaction effects of review characteristics and users’ social network centrality on idea popularity.

This study’s results highlight that users should actively interact and share with reviewers their professional product design knowledge and/or the journey of their design to improve the volume of reviews on their user designs. Moreover, users could also draw more attention from other users by actively responding to heterogeneous reviews. In addition, users should be cautious with the number of people they follow and ensure that they improve their in-degree rather than out-degree centrality in their social networks.

This study integrates social network analysis and persuasion theories to explore the effects of online reviews and users’ centrality on idea popularity in OICs, a vital research issue that has been overlooked.

The purpose of this paper is to systematically review the existing research and summarize the value co-creation mechanism between enterprises and users in crowdsource-based open innovation (COI).

Crowdsourcing is an effective means for enterprises to launch open innovation. This paper will first introduce the concepts and forms of open innovation and crowdsourcing, and then define COI.

This paper will analyze the key parties in innovative tasks, value co-creation mechanism that creates ideas, the interaction of key participants and the process of integrating internal and external resources to realize open innovation.

In the end, this paper will put forward the theoretical framework for future studies on the development of COI from the perspective of value co-creation.

This thesis will first introduce the concepts and forms of open innovation and outsourcing and then define COI. Then it will systematically review the existing research studies and summarize the value co-creation mechanism between enterprises and users under COI model by analyzing the key parties in innovative tasks, value co-creation mechanism that creates ideas, the interaction mode of key participants and the process of enterprises integrating internal and external resources to realize open innovation.

This paper aims to investigate in a transformative service research (TSR) context how users can be involved through co-design and what contributions they can make during this process.

A six-step co-design process was used to plan and facilitate two co-design sessions that involved a total of 24 participants. The collected data include field notes, transcripts from group discussions, recordings of idea presentations and the evaluation of ideas.

A recruitment strategy that uses strong networks and sensitizes users through generating awareness of the underlying issue can prevent the waste of valuable resources. During the facilitation stage, experts need to find the fine line between close guidance and giving voice to the users. User-generated ideas set the starting point for new value propositions that more effectively support users in their value creation processes.

The findings are limited to one specific sample and design task. Future research is required that investigates the application of co-design to other TSR contexts.

In TSR, organizations will need to follow a different co-design approach owing to the sensitive nature of the design task and/or users that are not driven by innovation-related motivations. Organizations should tap into their networks to raise awareness and recruit suitable participants. To capture users’ unique insights and foster the collective creativity, facilitation should focus on enabling participants through the use of design tools and team management.

The study contributes new insights into requirements, challenges and benefits of applying co-design to TSR contexts. The study shows that ordinary users, if empowered, can give important insights into the design of new value propositions.

The aim is to propose a conceptual framework consisting of research propositions concerning the key strategies required for the successful involvement of customers in the co‐creation of new technology‐based services.

The methodology involves a single case study from which data are derived and analyzed using the grounded theory methodology of “constant comparative analysis.” User‐generated ideas for future mobile phone services are collected from four user involvement projects and analyzed at several workshops attended by senior managers from telecommunications firms.

Seven key strategies are identified as being essential for successful user involvement in new product development. Each strategy is described and illustrated in relation to existing theory and presented as a research proposition.

The exploratory nature of the research means that the findings are tentative and need to be confirmed in other settings by other researchers, including quantitative large‐scale studies.

The results of the study provide management with guidelines for organizing successful user involvement projects with a market‐oriented approach.

Despite the increasing popularity of user involvement, little research has examined the conditions required for successful user involvement in new product development. This study makes an original contribution by proposing strategies critical for a successful outcome.