Syndication–Cost Augmented Industry Analysis

A Contextual Framework for Entrepreneurship in Bangladesh

Abstract

Purpose: This paper addresses the limitations of traditional industry analysis frameworks—such as Porter's Five Forces and the Structure–Conduct–Performance paradigm—in capturing the structural constraints facing entrepreneurship in Bangladesh. It develops the Syndication–Cost Augmented Industry Analysis (SCIA) framework, a contextualized model designed to measure and integrate two understated realities of the Bangladeshi business environment: syndication (collusive control over markets, logistics, and permits) and the high cost of doing business (capital intensity, operational expenses, compliance burdens, and customer acquisition costs).

Method: The SCIA framework introduces two novel indices to quantify market frictions. The Syndication Concentration Index (SCI) is constructed using mixed-source data, including enterprise surveys, media and NGO reports, regulatory records, and price forensics. The Cost of Business Index (COBI) measures operational and compliance-related burdens. These indices are combined to form an Entry Friction Index (EFI), which modifies classical competitive analysis to produce an Adjusted Industry Attractiveness Score (AIAS). The framework is conceptually validated and illustrated through a hypothetical case study.

Findings: The SCIA framework provides a systematic method for identifying industries where informal cartels and high operational costs erode profitability and deter entry. By outputting an Adjusted Industry Attractiveness Score (AIAS), the model offers a more nuanced assessment of sectoral viability than traditional frameworks alone, revealing opportunities for niche disruption and highlighting sectors requiring policy intervention.

Implications: For entrepreneurs and investors, SCIA serves as a practical guide to market entry strategy, investment screening, and portfolio diversification, offering a risk-adjusted lens for capital allocation. For policymakers, the framework enables targeted regulation of syndicates, data-driven alignment of subsidies and incentives, and evidence-based administrative reform to streamline approvals.

Originality/Value: This paper contributes to both academic theory and practice by developing an empirically adaptable tool tailored to the unique structural dynamics of Bangladesh's business environment. Unlike conventional models that understate the roles of collusive behavior and administrative burdens, SCIA explicitly integrates these frictions into sectoral attractiveness assessments.

Limitations: As a conceptual and illustrative study, the framework requires empirical validation through large-scale application across diverse sectors.