Academic Journal

Methodological Pluralism and Innovation in Data-Driven Organizations

التفاصيل البيبلوغرافية
العنوان: Methodological Pluralism and Innovation in Data-Driven Organizations
المؤلفون: Allen, Ryan T., McDonald, Rory M.
المصدر: Administrative Science Quarterly ; ISSN 0001-8392 1930-3815
بيانات النشر: SAGE Publications
سنة النشر: 2025
الوصف: Prior research on data-driven innovation, which assumes quantitative analysis as the default, suggests a tradeoff: Organizations that rely heavily on data-driven analysis tend to produce familiar, incremental innovations with moderate commercial potential, at the expense of risky, novel breakthroughs or hit products. We argue that this tradeoff does not hold when quantitative and qualitative analysis are used together. Organizations that substantially rely on both types of analysis in the new-product innovation process will benefit by triangulating quantifiably verifiable demand (which prompts more moderate successes but fewer hits) with qualitatively discernible potential (which prompts more novelty but more flops). Although relying primarily on either type of analysis has little impact on overall new-product sales due to the countervailing strengths and weaknesses inherent in each, together they have a complementary positive effect on new-product sales as each compensates for the weaknesses of the other. Drawing on a unique dataset of 3,768 new-product innovations from NielsenIQ linked to employee résumé job descriptions from 55 consumer-product firms, we find support for our hypothesis. The highest sales and number of hits were observed in organizations that demonstrated methodological pluralism: substantial reliance on both types of analyses. Further mixed-method research examining related outcomes—hits, flops, and novelty—corroborates our theory and confirms its underlying mechanisms.
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1177/00018392251313737
الاتاحة: https://doi.org/10.1177/00018392251313737
https://journals.sagepub.com/doi/pdf/10.1177/00018392251313737
https://journals.sagepub.com/doi/full-xml/10.1177/00018392251313737
Rights: https://creativecommons.org/licenses/by-nc/4.0/
رقم الانضمام: edsbas.677E7869
قاعدة البيانات: BASE
الوصف
DOI:10.1177/00018392251313737