Idea Crowdsourcing Research Articles

Determining the Effect of Feedback Quality on User Engagement on Online Idea Crowdsourcing Platforms Using an AI model

The success of idea crowdsourcing platforms relies on fostering a collaborative environment that encourages active user participation, measured by the quality and quantity of contributions and interactions. However, understanding the impact of peer interactions on user engagement and the innovation process remains challenging. While previous studies have focused on sentiment analysis, the contextual interpretation of peer feedback and its effects on engagement and innovation have yet to be explored. To address this knowledge gap, we propose a feature-based AI model that categorizes peer feedback based on its quality and polarity. Our model achieves 96% accuracy in identifying feedback quality (constructive vs. non-constructive and toxic vs. non-toxic) and feedback polarity (negative vs. positive). This contextual feedback categorization provides a foundation for quantitatively analyzing the impacts of feedback on user engagement and the innovation process. Our results show that positive and constructive peer feedback has a significantly positive effect, while toxic and negative peer feedback has a significantly negative impact on the process of idea generation, idea evaluation, and idea selection. Our results also indicate that inexperienced users are more susceptible to toxic feedback than experienced users. Based on these findings, we suggest a recommendation and reward system for incentivizing constructive feedback and preventing toxic feedback.

Правотворческий краудсорсинг и его значение для установления пределов правового регулирования

Abstract: the digitalisation of the processes of modern life contributes to the emergence of new lawmaking technologies aimed at defining the scope of legal regulation and establishing its limits. The use of crowdsourcing in law-making activities makes it possible to correlate the positions of society and the state regarding the possibility and necessity of regulating certain social relations. The purpose of the study: to reveal the essence of law-making crowdsourcing as an independent lawmaking technology, to determine its significance for establishing the limits of legal regulation. Research methods: general scientific methods and methods of cognition (systemic, analysis, synthesis, induction, deduction, generalisation, comparison, etc.) and special scientific methods (formal legal, comparative legal). Results: Law-making crowdsourcing is a new technology and one of the deliberative procedures aimed at optimising the establishment of the scope of legal regulation and fixing it as a subject of legal regulation. There are three main types of law-making crowdsourcing, depending on the objectives and content pursued: crowdsourcing of issues, crowdsourcing of ideas, and crowdsourcing of draft legislation. Certain conditions need to be taken into account in order for crowdsourcing to produce the desired results and improve the effectiveness of legal regulation, as well as problems and shortcomings due to both the specificity of the technology and peculiarities of the public consciousness.

The Effect of Community Managers on Online Idea Crowdsourcing Activities

In this study, we investigate whether and to what extent community managers in online collaborative communities can stimulate community activities through their engagement. Using a novel data set of 22 large online idea crowdsourcing campaigns, we find that moderate but steady manager activities are adequate to enhance community participation. Moreover, we show that appreciation, motivation, and intellectual stimulation by community managers are positively associated with community participation but that the effectiveness of these communication strategies depends on the form of participation managers wish to encourage. Finally, the data reveal that community manager activities requiring more effort, such as media file uploads vs. simple written comments, have a stronger effect on community participation.

A Scientometric Exploration of Crowdsourcing: Research Clusters and Applications

Crowdsourcing is a multidisciplinary research area that represents a rapidly expanding field where new applications are constantly emerging. Research in this area has investigated its use for citizen science in data gathering for research and crowdsourcing for industrial innovation. Previous studies have reviewed and categorized crowdsourcing research using qualitative methods. This has led to the limited coverage of the entire field, using smaller discrete parts of the literature and mostly reviewing the industrial aspects of crowdsourcing. This study uses a scientometric analysis of 7059 publications over the period 2006–2019 to map crowdsourcing research to identify clusters and applications. Our results are the first in the literature to map crowdsourcing research holistically. In this article, we classify its usage in the three domains of innovation, engineering, and science, where 11 categories and 26 subcategories are further developed. The results of this article reveal that the most active scientific clusters where crowdsourcing is used are environmental sciences and ecology. For the engineering domain, it is computer science, telecommunication, and operations research. In innovation, idea crowdsourcing, crowdfunding, and crowd creation are the most frequent areas. The findings of this study map crowdsourcing usage across different fields and illustrate emerging crowdsourcing applications.

Idea Crowdsourcing for Innovation: Fundamentals and Recommendations

The phenomenon of using mass participation to gather collective intelligence and achieve greater economic performance (i.e. crowdsourcing) is gaining global momentum with companies. This research contributes to the ongoing discussion in the crowdsourcing literature by offering a framework to explain the concept of crowdsourcing, summarize current research streams and to guide future research. COCRÉATIONCROWDSOURCINGINNOVATION

Idea Crowdsourcing for Innovation: Fundamentals and Recommendations

The phenomenon of using mass participation to gather collective intelligence and achieve greater economic performance (i.e. crowdsourcing) is gaining global momentum with companies. This research contributes to the ongoing discussion in the crowdsourcing literature by offering a framework to explain the concept of crowdsourcing, summarize current research streams and to guide future research.

Harnessing the creative potential of consumers: money, participation, and creativity in idea crowdsourcing

Given the growing importance of innovation and consumer engagement, many firms are strongly interested in finding ways to encourage their consumers to generate creative new product ideas for them in their crowdsourcing initiatives. To that end, managers often use monetary rewards—one of the most commonly used managerial tools to stimulate desired behaviors. A critical question in this respect is whether the use of monetary rewards is effective in stimulating creativity and, if so, how large those rewards should be. This study aims to answer these questions. The results of an experiment suggest that introducing monetary rewards does not contribute to the number of new product ideas generated by a single consumer or the novelty of his/her ideas, and when the reward is relatively small, it can even be harmful. Monetary rewards, however, are effective in encouraging widespread participation in crowdsourcing initiatives and improving the appropriateness of the new product ideas. As a whole, these findings take us a step further toward better understanding the motivational mechanisms of consumer creativity in new product ideation.

Good to Be Novel? Understanding How Idea Feasibility Affects Idea Adoption Decision Making in Crowdsourcing

Soliciting novel ideas from the crowd is a paradigm shift for innovation that gains increasing attention from researchers and practitioners. However, studies examining the relationship between the novelty of crowdsourced ideas and firms' idea adoption decisions are surprisingly rare. This research adopts the path-of-least-resistance (POLR) theory as a new theoretical angle to examine the role of idea feasibility as a key heuristic cue mediating the effect of idea novelty on adoption decisions. We further explore factors that may amplify or mitigate this mediation. Using data collected from a laboratory experiment and a firm-sponsored crowdsourcing community, we reveal that firms tend to follow the POLR by using idea feasibility as meta-information to evaluate novel ideas in their idea adoption decisions. However, this tendency depends on external stimuli and constraints, such that the mediation of idea feasibility exists only when idea favorability from the crowd is low or when an ideator's prior ideation participation is high. Our supplementary study further offers preliminary insights on the extension of our proposed effects to the ultimate success of adopted ideas. These findings illuminate a better understanding of firms' idea adoption decisions and suggest ways to manage idea crowdsourcing effectively for new product/service development and improvements.

Where is the power in numbers? Understanding firm and consumer power when crowdsourcing

This work utilizes the theory of social power as a lens through which to analyze the power structure of firms and consumers involved in crowdsourcing and discusses the managerial implications of this power balance. The results of this analysis reveal how power is structured differently in each form of crowdsourcing, with consumer power being strongest in the case of idea crowdsourcing and weakest in the case of microtask crowdsourcing. These differences in power have implications for managers who initiate and maintain crowdsourcing endeavors. Understanding the structure of consumer power in different types of crowdsourcing allows firms to better prepare for the wide range of possible outcomes as consumers inevitably push their own agendas regardless of whether or not these agendas are aligned with those of the firm.

La production participative d’idées : quels effets du dispositif socio-technique sur les pratiques ?

Le recours au public pour engendrer des idées créatives a été largement intégré par les organisations. Si ces dernières s’appuient depuis longtemps sur des modèles compétitifs pour stimuler la créativité, on assiste à l’émergence d’un nouveau modèle dit coopétitif, juxtaposant des éléments coopératifs et compétitifs. Cette recherche vise à comprendre comment la mise en œuvre d’un dispositif coopétitif favorise le processus créatif. Une étude empirique sur 9951 utilisateurs d’une plateforme montre la possibilité de les classer en fonction de leurs activités. Une variété de rôles (compétiteur, coopérateur, coopétiteur, supporteur) coexistent. Les membres du groupe coopétitif, poursuivant des buts à la fois antagonistes et complémentaires, exercent une fonction centrale dans le processus créatif alors qu’une majorité des utilisateurs se limite à l’évaluation des idées.

Crowdsourcing ideas: Involving ordinary users in the ideation phase of new product development

The different roles of users in new product development (NPD) have been extensively described. Currently online idea crowdsourcing, via long-term open idea calls, is increasingly being used by companies to collect new product ideas from ordinary users. Such open idea calls can result in thousands of suggested ideas and detecting the ones that a company wants to implement can be problematic. Empirical research in this area is lacking. We therefore investigate which ideator and idea-related characteristics determine whether an idea for NPD is implemented by a crowdsourcing company. To answer this question, we use a cross-sectional research design to analyse publicly available data from an open idea call, run by an internationally active beverage producer. Our results reveal that ideators paying major attention to crowdsourced ideas of others, the idea popularity, as well as its potential innovativeness positively influence whether an idea is implemented by the crowdsourcing company. Counterintuitively, the motivation of an ideator, reflected in the number of ideas suggested, does not influence the likelihood of an idea being implemented.

Crowdsourcing Ideas as an Emerging Form of Multistakeholder Participation in Internet Governance

The online crowdsourcing of ideas for institutional change and legislation drafting has been widely adopted by public bodies from the local to the international level, for improving legitimacy, transparency, and accountability. In multistakeholder set-ups, such an approach seems to fulfill the promise of openness, real-time engagement and cross-fertilization of ideas. Global Internet policy-making appears as a natural experiment for harnessing the potential of crowdsourcing, in particular, as a means to restore trust after the Snowden revelations of mass surveillance. This article investigates two key initiatives of online collective brainstorming for digital policies: ICANN's Strategy Panel on Multistakeholder Innovation and the NETmundial process, highlighting the merits and limitations of crowdsourcing as an emerging form of multistakeholder participation. Our findings underscore the need for leveraging sufficient community interest for substantial input; defining procedures for the collection and screening of inputs; and committing to institutionalizing rules for incorporating feedback.

Cheer the crowd? Facilitating user participation in idea crowdsourcing

External crowds provide organisations with valuable knowledge and new ideas in a cost–effective way. While existing research has focused on the users and the general characteristics of crowdsourcing, there is still a lack of understanding of how the hosting organisation should organise and govern crowdsourcing initiatives. Building on the literature from the fields of innovation management, knowledge management, marketing and electronic commerce, with real–world illustrations, we develop a framework to facilitate the participation of external crowds in idea crowdsourcing tasks. Our study identifies six management practices related to the different phases of idea crowdsourcing: selecting appropriate communication technologies; defining tasks; evaluating crowd size and its knowledge base; launching tasks and supporting interpretation; giving feedback and encouraging interaction, and allowing user–driven idea evaluations. The study contributes to the literature on innovation management and crowdsourcing, while also offering practical insight into how to better cultivate the wisdom of external crowds.

USER MOTIVATION AND KNOWLEDGE SHARING IN IDEA CROWDSOURCING

We investigate how the propensity to trust, intrinsic motivation, and extrinsic motivation drive the intentions of individuals to share knowledge in idea crowdsourcing. Building on motivation theories and Uses & Gratifications (U&G) approach, we conducted a web-based survey within IdeasProject, an open innovation and brainstorming community dedicated to harvesting ideas. Based on a sample of 244 users, our research shows that the key driver of knowledge-sharing intentions is made up of two intrinsic motivations — social benefits and learning benefits. We also found that recognition from the host company affects intention to share knowledge. From the management point of view, the relative importance of social integrative benefits calls for better facilities available for users to be able to help each other in formulating and developing their ideas. Learning and creativity could be inspired by feedback from professionals and experts, while providing insight into technological advances and features dealing with the current tasks.

From Idea Crowdsourcing to Managing User Knowledge

IntroductionThere is a growing appreciation for the value of resources that lie beyond a firm's organizational boundaries and can be tapped into for innovation purposes and R&D collaboration with suppliers, universities, customers, or even competitors (Un et al., 2010). Users can be considered as one important source of innovation, and user innovation has been recognized as

From Idea Crowdsourcing to Managing User Knowledge

IntroductionThere is a growing appreciation for the value of resources that lie beyond a firm's organizational boundaries and can be tapped into for innovation purposes and R&D collaboration with suppliers, universities, customers, or even competitors (Un et al., 2010). Users can be considered as one important source of innovation, and user innovation has been recognized as

MY IDEA IS OUR IDEA! SUPPORTING USER-DRIVEN INNOVATION ACTIVITIES IN CROWDSOURCING COMMUNITIES

There is a growing stream of research unraveling individual motivations to participate in idea crowdsourcing and online user communities. While the current research has largely focused on individual user characteristics and overlooked the features of surrounding communities, our research turns the focus onto the actual community where knowledge is shared and created. We investigate the relationships between perceived support from a crowdsourcing community, and the users' intentions to share knowledge. Our research is based on a survey of 241 Chinese users of IdeasProject and shows that (1) for community trust, trust in the hosting firm has a significant effect on knowledge-sharing intentions, while collaborative norms do not; (2) for community support, both technology-based support and knowledge-based support have an effect on knowledge-sharing intentions. From a community management viewpoint, our results demonstrate the importance of providing continued support for knowledge integration, such as more opportunities for user-to-user interaction and features for providing constructive feedback.

크라우드소싱 커뮤니티 내 고객 선호와 조직의 혁신수용 비교 연구 : MyStarbucksIdea.com의 고객 아이디어 분석을 중심으로

Open innovation concept is advocating the importance of the customer roles in firm`s innovation. As a result, crowdsourcing community is drawing attention as a strategic asset for open innovation across diverse industries. Considering that the goal of crowdsourcing community is harnessing innovative ideas, understanding the characteristics of user-favorable and organization-adoptable ideas can enhance the effectiveness of idea crowdsourcing. In our approach, we extract idea content-based characteristics such as subjectivity, negativity, prosocialneess, and depth of idea to examine what are the factors that affect user preference and organizational adoption. An analysis of 71,134 ideas from MyStarbucksIdea.com shows that there are significant differences between user-favorable and organization-adoptable ideas in terms of idea characteristics. Lastly, both theoretical and managerial implications are discussed.

Exploring uses of social media in a global corporation

PurposeThis study aims to enhance understanding of using Web 2.0 technologies and social media in a global corporation.Design/methodology/approachA qualitative case study in a global corporation was conducted to illustrate the main uses of social media and to describe the related service portfolio.FindingsThe main uses of social media were identified and conceptualized based on the case company data. Internally, social media was used to for internal communication and knowledge transfer, to reach personnel and to conduct internal idea crowdsourcing. Externally, social media was used to enhance communications related to the company brand, to enable dialogue with customers, to build communities with various stakeholder groups and to engage external stakeholders in idea generation via a crowdsourcing platform. A categorization of social media uses for communication, collaboration and connectingvis‐à‐visexternal and internal uses was created. Idea creation practices were further conceptualized as the main enactment of Web 2.0 social media technology.Research limitations/implicationsThis study is a single case study and thus the results cannot be generalized.Practical implicationsAs Web 2.0 technologies and social media have become a topic of interest for many companies, it is essential to understand how social media can be used in a business context. The classification of social media uses is deployed to highlight the possible implications for company operations, and the human factor is emphasized in system adoption and use. Challenges related to social media implementation are described.Originality/valueAs of to date, there is a lot of anecdotal evidence on uses of social media. This research is based on a case study, allowing an in‐depth insight into the phenomenon and related issues.