| 1. |
- Asplund, Fredrik, 1977-, et al.
(författare)
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Knowing too much? : On bias due to domain-specific knowledge in internal crowdsourcing for explorative ideas
- 2021
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Ingår i: R&D Management. - : John Wiley & Sons. - 0033-6807 .- 1467-9310.
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Tidskriftsartikel (refereegranskat)abstract
- Internal crowdsourcing utilizes a firm’s employees, of which many have a strong understanding of the domains in which the firm operates, for contributing with, developing and evaluating ideas. On the one hand, these employees can use their domain-specific knowledge to identify the value of what may seem a far-fetched solution to the average employee. On the other hand, previous research has shown that employees typically evaluate ideas in their domains less favorably if they do not align with ongoing exploitation activities. Hence, this study focuses on whether a higher degree of relevant domain-specific knowledge makes employees participating in internal crowdsourcing prefer exploitative solutions when evaluating ideas. An empirical study of an online platform for firm-internal innovation in a multinational engineering company showed that employees who only infrequently participated in internal crowdsourcing mostly contributed to and evaluated ideas within their own domain. Employees who frequently participated also contributed to and evaluated ideas outside their own domains. By statistically analyzing group differences during idea evaluation, we show that employees participating infrequently favor exploitable solutions, whereas employees participating frequently are more uncertain. The former difference is only seen concerning ideas that require domain-specific knowledge to understand, but the latter is observed for all types of ideas. This study makes three substantial contributions. First, employees with domain-specific knowledge, through their preference for exploitative solutions, bias the outcome of internal crowdsourcing when idea evaluation requires domain-specific knowledge. Second, this bias is aggravated by the overall higher level of uncertainty displayed by employees participating frequently in internal crowdsourcing and thereby tend to reach out to other domains. Third, in order to mitigate this, bias management can build engagement in internal crowdsourcing through idea challenges that do not require domain-specific knowledge and consider avoiding employees with a strongly associated domain knowledge for idea evaluation.
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| 2. |
- Asplund, Fredrik, 1977-, et al.
(författare)
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The genesis of public-private innovation ecosystems : Bias and challenges
- 2021
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Ingår i: Technological forecasting & social change. - : Elsevier. - 0040-1625 .- 1873-5509. ; 162
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Tidskriftsartikel (refereegranskat)abstract
- The emergence of technology increasingly depends on innovation ecosystems and frequently involves actors from both industry and academia. However, value creation may experience challenges due to bias formed during public-private innovation ecosystem genesis.This empirical study of bias in a new pan-European public-private initiative provides results regarding innovation ecosystems and the individuals typically active during their genesis: value creation is biased towards the selection of incumbent firms and complement challenges, and participation is biased towards engineers with knowledge of exploitation from multiple domains and researchers with knowledge of exploitation from single domains.This suggests that the implications of the loose coupling emphasised by the innovation ecosystems discourse and the knowledge of the different contexts in which firms capture value are more complex than previously acknowledged. The practical implications are that the ability of public innovation ecosystem leadership to act early on novel technology might be offset by the inability of involved firms to commit to bringing the technology to market and that individuals typically active during public-private innovation ecosystems genesis are not ideal for handling this challenge. In fact, increasingly connected public leadership could smother the innovation ecosystem unless well-connected and multidisciplinary researchers are brought in as brokers.
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| 3. |
- Di Vincenzo, Faustino, et al.
(författare)
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Attention to ideas! Exploring idea survival in internal crowdsourcing
- 2020
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Ingår i: European Journal of Innovation Management. - : Emerald Group Publishing Ltd.. - 1460-1060 .- 1758-7115.
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: This paper analyzes how the distribution and structure of employees' attention influence idea survival in an organizational internal crowdsourcing session. Design/methodology/approach: 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. Findings: 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. Practical implications: 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. Originality/value: This paper contributes to the literature highlighting the relevance of attention-based theory in the context of crowd-based creativity and innovation management.
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| 4. |
- Qian, Chen, 1990-, et al.
(författare)
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How do ideas gain legitimacy in internal crowdsourcing idea development? : Exploring the effects of feedback on idea selection
- 2023
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Ingår i: Innovation. - : Informa UK Limited. - 1447-9338 .- 2204-0226. ; , s. 1-32
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Tidskriftsartikel (refereegranskat)abstract
- Internal crowdsourcing offers new opportunities for ideas to gain legitimacy in idea development as not only managers but also experts are able to provide feedback to improve and subsequently accept ideas for further realisation. Given this far limited knowledge about how ideas gain legitimacy in idea development, this paper focuses on the influence of feedback, a main source of idea legitimacy in internal crowdsourcing. More specifically, this study aims to explore how feedback from different feedback providers (i.e., managers and experts) influences idea selection in internal crowdsourcing idea development. Based on text mining methods including sentiment, topic-model, and expert identification analyses, results reveal that feedback sentiment, feedback diversity and feedback amount play key roles in idea legitimisation. Specifically, these aspects of feedback influence idea acceptance in idea selection through the mediating role of idea revision in idea development and that this relationship is moderated by feedback providers. This study extends previous knowledge about the legitimisation process from the perspective of feedback in idea development by offering both a more comprehensive view, including different feedback aspects, and a more granular measurement of these, through the use of text analysis. Based on insights from the study, practical implications are presented for how to gain legitimacy from feedback for idea selection in internal crowdsourcing.
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| 5. |
- Qian, Chen, 1990-, et al.
(författare)
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Selection bias of ideas for sustainability-oriented innovation in internal crowdsourcing
- 2023
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Ingår i: Technovation. - : Elsevier BV. - 0166-4972 .- 1879-2383. ; 124, s. 102761-102761
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Tidskriftsartikel (refereegranskat)abstract
- Decision biases reinforce firms’ tendency to develop innovations based on narrow economic motivations. Consequently, sustainability-oriented ideas explicitly targeting social and environmental issues are easily discarded in idea selection when trade-offs between economic and sustainability values are faced. Given the so far limited knowledge about how sustainability-oriented ideas are developed and selected in organizations today, this research aims to explore how managerial biases affect selection of sustainability-oriented ideas in internal crowdsourcing. It does so through an empirical study drawing on data collected from a Swedish multinational company using internal crowdsourcing for different types of innovation ideas. The empirical study explicitly identifies sustainability-oriented ideas based on machine learning and captures managerial biases for ideas based on sentiment analysis. Regression analyses reveal that managerial biases potentially affect the selection of sustainability-oriented ideas through the mediating role of managerial attention in idea development. Furthermore, this mediating relationship is moderated by search pattern in terms of directed search. The study contributes to the literature on both innovation and sustainability, shedding new light on the effects of managerial bias, managerial attention, and innovation search for decision making and provides managerial implications enabling a fruitful adoption of sustainability-oriented innovation ideas.
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