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Record W4417454077 · doi:10.1108/mbr-04-2025-0110

Indigenous SMEs and nonmarket strategy: leveraging cultural capital, sustainability and Indigenous diplomacy in international business

2025· article· en· W4417454077 on OpenAlexaff
Sui Sui, Jesse Bull

Bibliographic record

VenueMultinational Business Review · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicIndigenous Knowledge Systems and Agriculture
Canadian institutionsTed Rogers Centre for Heart Research
Fundersnot available
KeywordsNonmarket forcesIndigenousLegitimacySustainabilityReciprocity (cultural anthropology)InternationalizationDiplomacyInternational business

Abstract

fetched live from OpenAlex

Purpose This paper aims to explore how Indigenous-owned small and medium enterprises (SMEs) pursue internationalization through nonmarket strategies, emphasizing sustainability orientation, Indigenous-to-Indigenous trade networks and cultural capital. The authors highlight how these nonmarket approaches – rooted in unique cultural values and community relationships – complement market strategies to build legitimacy and competitive advantage in global markets. Design/methodology/approach This study adopts a narrative synthesis approach, drawing illustrative examples from secondary sources such as Indigenous business websites, panel discussions, news articles and existing case studies. These examples serve as narrative vignettes to contextualize the conceptual discussion, selected based on their relevance, recency and regional diversity. This approach grounds theoretical arguments in practice while maintaining transparency about source selection. Findings Indigenous-owned SMEs use nonmarket strategies grounded in cultural values such as sustainability, reciprocity and community well-being. They develop Indigenous-to-Indigenous trade networks that function as trust-based bridges across borders, mitigating institutional voids and opening new channels for market access. Through Indigenous corporate diplomacy and stakeholder engagement, these firms act as cultural ambassadors, navigating regulatory environments and shaping perceptions to enhance credibility. Leveraging cultural capital (e.g. traditional knowledge, authenticity and storytelling) allows them to build legitimacy and differentiate their offerings. Together, these nonmarket strategies provide Indigenous SMEs with complementary pathways to internationalization alongside traditional market entry modes. Practical implications The findings encourage policymakers and business leaders to recognize the nonmarket strengths of Indigenous enterprises. Supporting Indigenous-led sustainability initiatives, facilitating Indigenous business exchanges and forums and including Indigenous representatives in trade dialogues are ways to enhance the international success of these firms. Indigenous entrepreneurs are advised to actively communicate their cultural commitments and sustainability practices as competitive assets in global markets so as to manage their reputations and stakeholder relationships effectively. Social implications Advancing Indigenous SMEs on the world stage contributes to economic reconciliation and the preservation of cultural heritage. Success of Indigenous SME models socially conscious business practices, benefiting broader society through the promotion of sustainable development and diversity in entrepreneurship. Furthermore, Indigenous diplomacy and trade networks reinforce political empowerment and solidarity among Indigenous peoples across countries, strengthening a more inclusive global economic system. Originality/value This work reframes Indigenous SMEs as proactive strategists in international business rather than passive actors constrained by institutional deficits. It extends nonmarket strategy discourse by introducing the notion of Indigenous corporate diplomacy and by highlighting Indigenous-to-Indigenous trade as an emerging form of international business network. By integrating cultural capital and sustainability into the analysis of nonmarket strategy, the perspective broadens international business theory to include historically underrepresented Indigenous voices and knowledge systems.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.632
Threshold uncertainty score0.503

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.268
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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