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This study aims to comprehensively identify and categorize key indicators for halal-sustainable supply chain management (HSSCM) tailored to small- and medium-sized enterprises (SMEs) in the food sector, emphasizing economic, environmental and social sustainability.

This paper uses integrated approaches such as decision-making trial and evaluation laboratory, interpretative structural model and MICMAC to investigate the interconnectedness between the economic, environmental, social and halal-specific criteria in the food sector for SMEs.

This study highlights 16 crucial indicators for HSSCM in SMEs within the food industry, organized into economic, environmental, social and halal-specific categories. The total relationship matrix shows important interdependencies between indicators, like operational costs and logistics, underscoring the necessity for a comprehensive management approach. Additionally, the cause-effect diagram and structural self-interaction matrix (SSIM) illustrate the hierarchical relationships among these indicators, aiding in strategic planning and decision-making.

This study integrates a broader range of indicators and reveals complex dependencies critical for managing halal supply chains effectively. This study also offers a robust framework for integrating halal practices and sustainability, supporting SMEs in adopting ethical, environmentally conscious business strategies.

The purpose of this study is to investigate the pricing strategies for knowledge payment products, taking into account the quality level of pirated knowledge products, in the context of platform copyright supervision.

This study abstracts the knowledge payment transaction process and aims to maximize producer's revenue by constructing a pricing model for knowledge payment products. It discusses pricing strategies for knowledge payment products under two scenarios: traditional supervision and blockchain supervision. The analysis explores the impact of pirated knowledge products quality level and blockchain technology on pricing strategies and consumer surplus, while providing threshold conditions for effective strategies.

Deploying blockchain technology in platform operations can significantly reduce costs and increase efficiency. In both scenarios, knowledge producer needs to balance factors such as the quality of pirated knowledge products, the supervision level of platform, and consumer surplus to dynamically adjust pricing strategies in order to maximize his own revenue.

This study enriches the literature on the pricing models of knowledge payment products and has practical significance in guiding knowledge producer to develop effective pricing strategies under copyright supervision.