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Firms increasingly rely on both external and internal crowdsourcing to capture ideas more broadly and enhance innovative problem-solving. Especially in internal crowdsourcing, knowledge sharing that contributes to develop or further the understanding of the problem the idea is focused on solving can take place between critical employees, and in that way improve ideas generated by others. This far, most crowdsourcing practices have focused on identifying solutions to proposed problems, whereas much less is known about how crowds can be used to share problem-related knowledge. There is thus an untapped potential in leveraging crowds not just to generate solution-oriented ideas but also to share knowledge to improve ideas and even to reframe problems. This paper aims to explore the effect of problem- and solution-related knowledge sharing in internal crowdsourcing for idea development.

Data on ideas and comments were collected from an idea management system in a Swedish multinational company. The investigation captures the influences of the problem- and solution-related knowledge sharing on ideas based on content analysis and logistic regression analysis.

The results from this study show that sharing knowledge related to solutions in idea development impacts idea acceptance positively, whereas sharing knowledge related to problems in idea development has a negative effect on the likelihood of idea acceptance and these effects of knowledge sharing are moderated by the active author responses.

This research provides managerial implications for firms to deliberately manage knowledge sharing in peer communities in internal crowdsourcing, especially by providing suggestions on problem reframing and solution refining for ideas.

The results contribute to existing theory in terms of extending the view of crowdsourcing in ideation to include how crowds contribute to the development of the problem and the solution during the development of ideas and providing new insights on knowledge sharing in internal crowdsourcing based on problem-solving theory.

Academics and practitioners are increasingly discussing the role of crowdsourcing initiatives in dealing with the challenges imposed by the COVID-19 pandemic, along with their role in an emergency context in general. However, empirical evidence about the role of crowdsourcing initiatives in an emergency context is still scarce. This paper aims to address this gap in knowledge.

The authors adopted an inductive approach to investigate how companies leveraged crowdsourcing initiatives to address the issues posed by COVID-19. Data were collected through semi-structured interviews. The selection of the interviewees was based on a purposive sampling strategy. Data were analysed through thematic analysis.

The analysis led to the identification and examination of drivers (e.g. preserving relationships with customers), advantages (e.g. increased demand for services) and disadvantages (e.g. increased platform cost) of implementing crowdsourcing initiatives during COVID-19. By leveraging the findings, this paper suggests future research opportunities. Relevant future research opportunities include: (1) quantitatively evaluating the economic impact of crowdsourcing initiatives during a disruptive event and (2) examining how the sector in which the company operates influences the beneficial and detrimental effects of crowdsourcing initiatives on company performance.

The involvement of crowds as innovation partners has provided unique opportunities for companies to innovate and address the challenging scenario. The scientific literature about the role of crowdsourcing during COVID-19 is growing. However, there is still a scarcity of empirical evidence about the mechanisms underpinning the use of crowdsourcing during the pandemic. By leveraging semi-structured interviews, this paper addresses this relevant gap in knowledge.

This paper analyzes how the distribution and structure of employees' attention influence idea survival in an organizational internal crowdsourcing session.

Data from an online internal crowdsourcing session carried out within a multinational company with headquarters in Sweden were used to explore how idea attention influenced idea survival.

Our findings indicate that the positive relationship between attention allocation and idea survival is mediated by idea appreciation, i.e. positive comments and suggestions that employees provide in response to ideas. In addition, we find that competition for attention negatively moderates the relationship between idea attention and positive comments. Finally, our results indicate that ideas are more likely to survive if they are submitted earlier in the crowdsourcing process and when the elapsed time since previously posted ideas in the session is longer.

This study provides organizers of internal crowdsourcing sessions with new insights about factors influencing idea survival and about potential systematic biases in idea selection due to timing and competition between ideas.

This paper contributes to the literature highlighting the relevance of attention-based theory in the context of crowd-based creativity and innovation management.

This study aims to investigate the antecedents of design crowdsourcing decision-making, the impact of design crowdsourcing on new product performance and the moderating effect of network connectivity.

The sample (n = 104) was collected from a leading social product development website; the fuzzy-set qualitative comparative analysis and two-stage least square methods were used in the investigation.

Three design attribute feature configurations (rational, emotional and kinesthetic value configurations) are conducive to firms’ adoption of design crowdsourcing and there are two configurations in which firms do not adopt design crowdsourcing. Design crowdsourcing influences new product performance positively. Network connectivity has an inverted U-shaped effect on the relationship between design crowdsourcing and new product performance.

These findings not only enrich crowdsourcing and social network studies but also guide crowdsourcing firms to better manage their processes and community members.

This study aims to enhance understanding of using Web 2.0 technologies and social media in a global corporation.

A qualitative case study in a global corporation was conducted to illustrate the main uses of social media and to describe the related service portfolio.

The 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 connecting vis‐à‐vis external and internal uses was created. Idea creation practices were further conceptualized as the main enactment of Web 2.0 social media technology.

This study is a single case study and thus the results cannot be generalized.

As 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.

As 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.

Crowdsourcing – a form of collaboration across organizational boundaries – provides access to knowledge beyond an organization’s local knowledge base. Integrating work on organization theory and innovation, the authors first develop a framework that characterizes crowdsourcing into a main sequential process, through which organizations (1) define the task they wish to have completed; (2) broadcast to a pool of potential contributors; (3) attract a crowd of contributors; and (4) select among the inputs they receive. For each of these phases, the authors identify the key decisions organizations make, provide a basic explanation for each decision, discuss the trade-offs organizations face when choosing among decision alternatives, and explore how organizations may resolve these trade-offs. Using this decision-centric approach, the authors continue by showing that there are fundamental interdependencies in the process that makes the coordination of crowdsourcing challenging.

The purpose of this paper is to illustrate and conceptualize how crowdsourcing can be implemented as a potential means to address gaps in service quality within service networks and to provide guidance to marketing practitioners on the use of crowdsourcing within service networks.

This paper conceptualizes how crowdsourcing can be used to address service quality gaps in service networks and provides propositions regarding the effects of crowdsourcing on service quality gaps.

Conceptual paper with a literature review, suggested a model for service quality gaps in service networks and propositions regarding the effects of crowdsourcing to manage service quality gaps.

This research contributes to the literature on crowdsourcing by theorizing how crowdsourcing impacts service quality in service networks.

Considerations for managers implementing crowdsourcing strategies and activities within service networks are provided. In particular, implications with regard to forming the crowd, developing the most appropriate approach and integrating value into the firm are discussed.

This paper offers an original contribution linking crowdsourcing to service quality.

This article offers insight on how to effectively help incumbent organizations prepare for global business shifts to open source and digital business models.

Discussion related to observation, experience and case studies related to incumbent organizations and their efforts to adopt open source models and business tools.

Companies that let their old culture reject the new risk becoming obsolete if doing so inhibits their rethinking of their future using powerful tools like crowdsourcing, blockchain, customer experience-based connections, integrating workflows with artificial intelligence (AI), automated technologies and digital business platforms. These new ways of working affect how and where work is done, access to information, an organization’s capacity for work and its efficiency. As important as technological proficiency is, managing the cultural shift required to embrace transformative industry architecture – the key to innovating new business models – may be the bigger challenge.

Findings are based on original research and case studies. Insights are theoretically, based on additional study, interviews, and research, but need to be tested through additional case studies.

The goal is to make the transition more productive and less traumatic for incumbent firms by providing a language and tested methods to help senior leaders use innovative technologies to build on their core even as they explore new business models.

This article provides insights that will lead to more effective ideas for helping organizations adapt.

This article is based on original research and case experience. That research and experience has then been analyzed and viewed through the lens of models that have been known to work. The result is original insights and findings that can be applied in new ways to further adoption within incumbent organizations.

The purpose of this paper is to portray an example of how organizations can harness their employees’ insight. The procedure described here can complement traditional methods such as interviews, open forums, round tables and employee surveys, and can assist HR managers to acquire a unique look inside the company.

The described procedure was facilitated at Intel Corporation and was about The Future of Work. 145 Intel employees took part in an online crowd-deliberation with a methodology called Real-Time Imen-Delphi (RTID). The methodology guided them to initiate 689 questions that were then organized into 258 mission statements, which were rated by importance, priority and feasibility.

A main theme was identified to represent the collective notion with regards to The Future of Work. The participants leaned toward the fractal model for a preferred work environment. This model includes employees who will no longer have a single job description, but rather repeatedly sign up for tasks and projects based on their interests, capabilities, availability, aspirations and future beliefs regarding the path their organization needs to take in manufacturing, research and development.

The result provides an example of how organizations can harness their employees’ wisdom to bring to the table cutting-edge ideas, debate their relevancy to the organization, agree collectively on their vision and generate applicable ideas toward realizing their preferred future.

As social media tools evolve and become a central part in organizations, they will seek to involve employees in effective conversations and in decision-making processes. RTID is a solid way with which they can do this.

New opportunities to nurture good ideas for innovation arise as firms use web-based ideation platforms for collective idea generation and development. What influences creative performance in firm-internal collective idea development is however not as well researched as idea generation and thus an important area of research is the feedback and commenting on ideas. More specifically, the purpose of this paper is to explore the role of feedback timeliness and knowledge overlap between feedback providers and ideas in collective firm-internal online idea development.

An empirical study has been performed, drawing on data collected from a Swedish multi-national company using a web-based system for collective firm-internal ideation. The investigation explicitly captures the effects on ideation performance played by idea development contributions, in terms of feedback timeliness and knowledge overlap between feedback providers and ideas.

The empirical results show that idea development is significantly influenced by feedback timeliness as well as by the knowledge overlap between feedback providers and ideas. Specifically, it is found that longer time to feedback and an increased knowledge overlap result in an increased likelihood of idea acceptance. However, beyond a certain point, the positive effects of a longer time to feedback and increased knowledge overlap decrease, resulting in curvilinear relationships with idea acceptance.

The results do not only shed new light on theory about collective idea development, but also provides management implications for collective firm-internal ideation. As the data used in the study has been collected in one single firm, care should be taken in generalizing the results to other domains.

The results inform managers that it is not always better to involve more individuals in these emergent and distributed ideation systems, but that it might be beneficial to take measures to exercise some control in terms of when distributed and diverse employees can freely join in and out, especially considering the diversity of ideas, comments and creators.

The results from the empirical study reveal the effects of feedback timeliness and knowledge overlap on idea development. This provides us with new insights on the complex dynamics at place in collective firm-internal idea development and offers implications for how we can fruitfully manage this process.