Convergence of Product, Production, and Supply Chain Design Rules: Evidence From Pharmaceutical Pre‐Competitive Collaboration Networks

ABSTRACT We address a trans‐specialist learning and coordination question in pre‐competitive manufacturing R&D networks: how do early‐stage consortia develop products across “dissimilar” (where knowledge requirements are different, and not solely based within) specialized networks? A unique aspect of the R&D consortia is that they integrate knowledge across product, production, and supply chain domains. This paper uses network ethnography as the methodology—in combining social network analysis with ethnographic methods—while drawing on a 10‐year dataset on the evolution of pre‐competitive collaboration networks in pharmaceutical continuous manufacturing deploying digital technologies. Our analysis reveals mechanisms through which design rules for products and processes are developed and converged across product, production, and supply chain domains. Specifically, we show that design rules, which are both “set‐based” and “trans‐specialized”, are the key mechanisms that enable heterogeneous specialist stakeholders to exchange knowledge and facilitate the convergence of development efforts. Second, we highlight the roles of boundary spanners and institutional actors (i.e., academia and regulatory bodies) in steering dialogues towards the convergence of design rules in early‐stage R&D settings. The theoretical implications of these findings are not only germane to pharmaceutical drug development networks but also to early‐stage product and technology development networks at large.

Authors

Institutions

Publication Details

Journal
Journal of Operations Management
Published
2025-02-26
DOI
https://doi.org/10.1002/joom.1352
Citations
5
Primary Topic
Business Strategy and Innovation
Type
article
Field-Weighted Citation Impact
11.13

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Convergence of Product, Production, and Supply Chain Design Rules: Evidence From Pharmaceutical Pre‐Competitive Collaboration Networks

Sriram Narayanan, Jagjit Singh Srai, Nitin Joglekar, Tomás Seosamh Harrington
5 citations
Journal of Operations Management
Business Strategy and Innovation
11.13
article

Convergence of Product, Production, and Supply Chain Design Rules: Evidence From Pharmaceutical Pre‐Competitive Collaboration Networks

Sriram Narayanan, Jagjit Singh Srai, Nitin Joglekar, Tomás Seosamh Harrington
article en
5 citations

Abstract

ABSTRACT We address a trans‐specialist learning and coordination question in pre‐competitive manufacturing R&D networks: how do early‐stage consortia develop products across “dissimilar” (where knowledge requirements are different, and not solely based within) specialized networks? A unique aspect of the R&D consortia is that they integrate knowledge across product, production, and supply chain domains. This paper uses network ethnography as the methodology—in combining social network analysis with ethnographic methods—while drawing on a 10‐year dataset on the evolution of pre‐competitive collaboration networks in pharmaceutical continuous manufacturing deploying digital technologies. Our analysis reveals mechanisms through which design rules for products and processes are developed and converged across product, production, and supply chain domains. Specifically, we show that design rules, which are both “set‐based” and “trans‐specialized”, are the key mechanisms that enable heterogeneous specialist stakeholders to exchange knowledge and facilitate the convergence of development efforts. Second, we highlight the roles of boundary spanners and institutional actors (i.e., academia and regulatory bodies) in steering dialogues towards the convergence of design rules in early‐stage R&D settings. The theoretical implications of these findings are not only germane to pharmaceutical drug development networks but also to early‐stage product and technology development networks at large.

Journal of Operations ManagementVol. 71(3)
University of East Anglia (GB), University of Cambridge (GB), Villanova University (US), Michigan State University (US)
UK Research and Innovation, Engineering and Physical Sciences Research Council, Innovate UK
Openalex Percentile: Top 2%
Business Strategy and Innovation
11.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.