ORIGINAL RESEARCH article

Front. Hum. Dyn.

Sec. Social Networks

Institutional-Based Social Network Resources, Social Resource Orchestration Competence, and Business Growth of Manufacturing Small and Medium Enterprises: Evidence from Kenya

  • Strathmore Business School, Strathmore University, Nairobi, Kenya

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Abstract

Introduction: The sustainable growth of small and medium-sized enterprises (SMEs) in manufacturing in developing economies depends significantly on how firms harness institutional social networks as strategic resources. Despite growing scholarship on social capital and firm performance, the mechanisms by which institutionally based social network resources comprising regulatory, normative, and cultural-cognitive networks translate into business growth remain insufficiently theorised. Specifically, the moderating role of social resource orchestration competence (SROC) in converting institutional network resources into firm growth value has not been empirically examined among Kenyan manufacturing SMEs. Methods: A quantitative cross-sectional survey was conducted among 393 purposively selected respondents comprising business owners, heads of operations, and heads of finance drawn from Kenya Association of Manufacturers (KAM) registered manufacturing SMEs across 14 sub-sectors in Nairobi County, Kenya. Structural Equation Modelling (SEM) was conducted in SmartPLS 4.0, preceded by Confirmatory Factor Analysis (CFA) to establish reliability and validity. Convergent and discriminant validity, as well as collinearity, were assessed using established thresholds before path analysis was conducted. Results: Direct path analysis confirmed significant positive associations of regulatory (β = 0.332, p < 0.05), normative (β = 0.285, p < 0.05), and cultural-cognitive resource networks (β = 0.162, p < 0.05) with SME growth. When SROC was introduced as a moderator, it emerged as the dominant growth factor (β = 0.543, p < 0.05). SROC significantly amplified the association of regulatory resource networks with SME growth (β = 0.162, p < 0.05) and attenuated the contribution of cultural-cognitive networks (β = −0.429, p < 0.05), while having no significant moderating effect on normative resource networks. Discussion: These findings advance Social Exchange Theory by offering preliminary evidence that the economic value of institutional network exchanges varies with the firm's SROC. The study introduces the Social Exchange Orchestration Grid (SEOG) a novel theoretical framework that maps the differential economic value of institutional network archetypes against SROC providing manufacturing SME managers with a strategic tool for prioritising institutional network investments. Implications for SME policy in sub-Saharan Africa are discussed, with an emphasis on building orchestration capabilities as a potentially more critical investment than network acquisition per se.

Summary

Keywords

Developing economies, Institutional networks, Kenya, manufacturing, resource-based view, SME growth, social exchange theory, social resource orchestration

Received

22 April 2026

Accepted

06 August 2026

Copyright

© 2026 Wanjiru Kanotha Oburu, Onyango and Ndirangu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Loise Wanjiru Kanotha Oburu

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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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