International Journal of Management Science and Application
Vol. 5 No. 1 (2026): IJMSA

The Relational Algorithm: Axiomatizing the Divergent Social Calculus of Trust in Collectivist and Individualist Market Ontologies

Dzreke, Simon Suwanzy (Unknown)
Elikplim Dzreke, Semefa (Unknown)



Article Info

Publish Date
13 Mar 2026

Abstract

Global brands incur annual losses of around $23 billion due to culturally incompatible trust practices, as demonstrated by Uber's contractual misalignment in China's guanxi-centric markets. This ongoing insufficiency highlights a significant theoretical void: cross-cultural marketing lacks a foundational framework that elucidates ontological differences in the formation of trust. This study employs ethnographic fieldwork (n = 42 industry experts), agent-based computer modelling, and discrete-choice experiments (DCEs; n = 1,200 participants across 4 markets) to address the issue. Findings indicate that trust functions through incommensurable cultural relational algorithms individualistic contractarian principles vs collectivist contextualist principles. Violating these ontological principles diminishes purchase intent by 38–61% (hierarchical Bayesian estimation, 95% HDI), highlighting the behavioral repercussions of infringing ontological expectations. This paper proposes a new axiomatic framework for market ontology that facilitates the algorithmic adaptation of trust methods across cultural barriers. The framework provides a theoretically informed method for mitigating relational friction in international trade, with clear implications for market entry strategy, partnership formation, and platform management.

Copyrights © 2026






Journal Info

Abbrev

ijmsa

Publisher

Subject

Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

Description

The aim is to publish empirical research that advances management theory by testing, improving, or augmenting it. All empirical techniques, such as mixed methods, meta-analytical techniques, field, laboratory, and qualitative and quantitative techniques, are welcome. Research should provide ...