Skip to main navigation Skip to search Skip to main content

Determinants of halal MSMEs' performance in digital business ecosystem: A Conceptual Model

  • Interdisciplinary School of Management Technology
  • Institut Teknologi Sepuluh Nopember
  • Department of Information Technology
  • State Islamic University of Ar-Raniry

Research output: Contribution to journal › Conference article › peer-review

Abstract

This study develops a conceptual model to enhance the performance of halal micro, small, and medium enterprises (MSMEs) within digital business ecosystem (DBE). A semi-systematic literature review of studies from 2015 to 2025 identified key performance determinants, extended the Technology-Organization-Environment (TOE) framework. Thematic analysis reveals DBE as mediator and halal dimension as moderator, reflecting halal MSMEs' context. The resulting model highlights determinants such as relative advantage, compatibility, communication, digital literacy, DBE engagement, and halal dimension, contributing to the commerce performance, financial performance, and social image of halal MSMEs. The model offers a foundation for future empirical research and practical applications.

Original languageEnglish
Pages (from-to)1075-1083
Number of pages9
JournalProcedia Computer Science
Volume284
DOIs
Publication statusPublished - 2026
Event8th Information Systems International Conference, ISICO 2025 - Hybrid, Bali, Indonesia
Duration: 4 Aug 2025 → 6 Aug 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • conceptual model
  • digital business ecosystemecosystem
  • halal
  • msmes performance
  • toe framework

Fingerprint

Dive into the research topics of 'Determinants of halal MSMEs' performance in digital business ecosystem: A Conceptual Model'. Together they form a unique fingerprint.

Cite this