Interdependency, dynamism, and variety (IDV) network modeling to explain knowledge diffusion at the fuzzy front-end of innovation

Samir Gupta, Elliot Maltz

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Using network theory this research explains innovation as an interactional, networked, systemic phenomenon. The proposed interdependency, dynamism, variety (IDV) model attempts to detail actors roles in intra- and interfirm knowledge diffusion during the fuzzy front-end of innovation (FFEI). Based on in-depth interviews, the results reveal that actors at the FFEI use their core competencies and knowledge diffusion in developing new products satisfying real-world requirements. Industry actors engage public research labs when the patented product demonstrates economic feasibility. The dynamic nature of FFEI prompts actors to seek external validation. Resource availability and knowledge diffusion do not necessarily lead to positive economic outcomes, but actors who demonstrate successful prototypes gain value through this collaboration. To reduce equivocality, networked actors should discuss the meaning and plausible uses of the discordant information, though equivocal information also can lead to innovation. Finally, early releases of patent information can distract actors if the patent is misused.
Original languageEnglish
Pages (from-to)2434 - 2442
Number of pages9
JournalJournal of Business Research
Volume68
Issue number11
DOIs
Publication statusPublished - 2015

Cite this

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title = "Interdependency, dynamism, and variety (IDV) network modeling to explain knowledge diffusion at the fuzzy front-end of innovation",
abstract = "Using network theory this research explains innovation as an interactional, networked, systemic phenomenon. The proposed interdependency, dynamism, variety (IDV) model attempts to detail actors roles in intra- and interfirm knowledge diffusion during the fuzzy front-end of innovation (FFEI). Based on in-depth interviews, the results reveal that actors at the FFEI use their core competencies and knowledge diffusion in developing new products satisfying real-world requirements. Industry actors engage public research labs when the patented product demonstrates economic feasibility. The dynamic nature of FFEI prompts actors to seek external validation. Resource availability and knowledge diffusion do not necessarily lead to positive economic outcomes, but actors who demonstrate successful prototypes gain value through this collaboration. To reduce equivocality, networked actors should discuss the meaning and plausible uses of the discordant information, though equivocal information also can lead to innovation. Finally, early releases of patent information can distract actors if the patent is misused.",
author = "Samir Gupta and Elliot Maltz",
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Interdependency, dynamism, and variety (IDV) network modeling to explain knowledge diffusion at the fuzzy front-end of innovation. / Gupta, Samir; Maltz, Elliot.

In: Journal of Business Research, Vol. 68, No. 11, 2015, p. 2434 - 2442.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Interdependency, dynamism, and variety (IDV) network modeling to explain knowledge diffusion at the fuzzy front-end of innovation

AU - Gupta, Samir

AU - Maltz, Elliot

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AB - Using network theory this research explains innovation as an interactional, networked, systemic phenomenon. The proposed interdependency, dynamism, variety (IDV) model attempts to detail actors roles in intra- and interfirm knowledge diffusion during the fuzzy front-end of innovation (FFEI). Based on in-depth interviews, the results reveal that actors at the FFEI use their core competencies and knowledge diffusion in developing new products satisfying real-world requirements. Industry actors engage public research labs when the patented product demonstrates economic feasibility. The dynamic nature of FFEI prompts actors to seek external validation. Resource availability and knowledge diffusion do not necessarily lead to positive economic outcomes, but actors who demonstrate successful prototypes gain value through this collaboration. To reduce equivocality, networked actors should discuss the meaning and plausible uses of the discordant information, though equivocal information also can lead to innovation. Finally, early releases of patent information can distract actors if the patent is misused.

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