Abstract in English:

Abstract Paper aims Assess the sustainability of sugarcane production in Sofala Province, Mozambique, using the SustenAgro Index approach and the Entropy Weight Method. Originality This paper provides several original contributions. First it enhances our understanding about the sustainability of sugarcane production in Mozambique, a topic that has been few studied. Second, it proposes a robust and comprehensive sustainability assessment framework based on the SustenAgro Index tailored to Mozambique. Finally, an innovative solution using an entropy approach is employed to determine the weights of criteria. Research method An intentional sample of 30 sugarcane producers from the districts of Nhamatanda and Búzi was selected. The sustainability indicators and dimensions were weighted using the entropy method, and the sustainability index was determined using the SustenAgro Index approach. Main findings Sugarcane production systems present positive sustainability scores. The social dimension has highest contribution to the sustainability index, followed by the economic and environmental dimension. Inefficient water management and the considerable distance between production fields and the sugar factory, significantly impacts the sustainability of sugarcane production. Implications for theory and practice This article presents a reliable framework for assessing sustainability in sugarcane production, leading policymakers and stakeholders to prioritize critical factors in designing policies and interventions.

Abstract in English:

Abstract: Paper aims The research aims to investigating the impact of implementing Internet of Things (IoT) using Bayesian networks in the supply chain of manufacturing of Indian auto components enterprises to achieve enhanced productivity and reduced failure rates. Originality The research's originality lies in exploring IoT's impact with Bayesian Networks in Indian auto component manufacturing, showcasing Industry 4.0 applications. Research method The research utilizes Bayesian Network analysis to investigate IoT's impact in Indian auto component manufacturing supply chains, validating findings through Industry 4.0-based IoT implementation and a pilot study. Main findings Implementing IoT in Indian auto component manufacturing enhanced industry performance, productivity, and reduced failure rates with Industry 4.0 technologies. Implications for theory and practice The research offers theoretical insights into IoT and Industry 4.0's impact on the automotive industries and practical solutions for practitioners

Abstract in English:

Abstract Paper aims This study investigates integrating digital transformation, human factors, business process management, and emerging technologies to improve organisational efficiency and employee well-being. The research aims to develop a conceptual model that optimises digital processes while reducing the cognitive load on employees. Originality The research fills a gap in the literature by emphasising the intersection of human factors and digital transformation. It introduces a human-centric approach that balances operational efficiency with employee well-being, which has been underexplored in previous studies. Research method A systematic literature review was conducted using Scopus and Web of Science databases to identify relevant studies. Content analysis was used to extract criteria for each domain, and Structural Equation Modelling (SEM) was applied to analyse complex relationships between digital transformation and human factors. Main findings The results indicate that integrating digital tools into organisational processes optimises workflows and decision-making while mitigating cognitive overload. The proposed model prioritises employee engagement, usability, and well-being alongside technological advancement. Implications for theory and practice This study contributes to the theoretical understanding of digital transformation by integrating human factors. The findings provide a structured pathway for organisations to enhance operational efficiency while safeguarding employee well-being, offering a balanced approach to digitalisation that can be applied in real-world scenarios.