JOURNAL ARTICLE

STANDARDIZATION: RESEARCH TRENDS, CURRENT DEBATES, AND INTERDISCIPLINARITY.

  • Published In: Academy of Management Annals, 2024, v. 18, n. 2. P. 788 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: GRILLO, FILIPPO; WIEGMANN, PAUL MORITZ; DE VRIES, HENK J.; BEKKERS, RUDI; TASSELLI, STEFANO; YOUSEFI, AMIN; VAN DE KAA, GEERTEN 3 of 3

Abstract

Standards are ubiquitous in contemporary society and play a clear role in technological development, organizational functioning, and business success. Standards are very diverse and often boundary crossing in terms of stakeholders and impact, but are such diversity and range reflected by academic studies? We take stock of standardization research over the past decade, considering the full interdisciplinary breadth of this growing field. We use bibliometrics and network analysis to map emergent trends, and conduct an in-depth review of the literature. In doing so, we find thatmanagement science, along with economics, is at the core of work on standardization, bridging academic disciplines, and leading theoretical development. Technical disciplines, such as engineering and computer science, supply the largest body of literature, but rarely cross disciplinary boundaries and remain rather isolated. Building on our review, we discuss current debates and controversies and distill four interpretative perspectives on the recent and current developments of standardization research. Finally, we propose a research agenda for standardization research and practice for the years to come. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Academy of Management Annals. 2024/07, Vol. 18, Issue 2, p788
  • Document Type:Literature Review
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2024
  • ISSN:1941-6520
  • DOI:10.5465/annals.2023.0072
  • Accession Number:178708106
  • Copyright Statement:Copyright of Academy of Management Annals is the property of Academy of Management and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.