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The purpose of this paper is to manage knowledge pertaining to micro, small and medium enterprise (MSME) actors in the business, agriculture and industry sectors. This study uses text mining techniques, specifically Latent Dirichlet Allocation Mallet, to analyze the data obtained from the in-depth interviews. This analysis helps us identify and understand the issues faced by these actors.

In this study, the authors use big data and business analytics to recalculate the MSME business vulnerability index in 503 districts and 34 provinces across Indonesia. Subsequently, the authors conduct in-depth interviews with MSME actors in Medan, Central Java, Yogyakarta, Bali and Manokwari, West Papua. Through these interviews, the authors explore their strategies for surviving the COVID-19 pandemic and the extent of their digital literacy, and the application of technology to maximize sales and business outcomes.

The findings reveal that, for the sustainable growth of MSMEs during and after the pandemic, collaboration across the Penta-Helix framework is essential. This collaboration enables the development of practical solutions for the challenges posed by COVID-19, particularly in the context of the “new normal.” In addition, the authors’ survey of MSMEs involved in agriculture, trade and processing sectors demonstrates that 58.33% experienced a decrease in income during the pandemic and 12.66% reported an increase in revenue. In contrast, 25% experienced no change in income before and during the pandemic.

This research contributes significantly by offering comprehensive insights obtained from in-depth surveys conducted with MSMEs across multiple sectors. The findings underscore the importance of addressing the challenges MSMEs face and highlight the need for collaboration within the Penta-Helix framework to foster their resilience and success amidst the COVID-19 pandemic.

This article explores the migration intentions (MIs) embedded in population movements from rural to urban areas in Bangladesh. In this country, urban-centric development policies have made cities epicentres of commerce and industrialisation, offering significant employment and livelihood opportunities. This rapid transformation has generated several socio-psychological factors that are influencing the willingness of rural populations to migrate to cities for better jobs, lifestyles and services.

The present study adopted the theory of planned behaviour (TPB) as a conceptual model to assess the behavioural and psychological factors underlying MIs.

The results of the structural equation modelling (SEM) indicate that MIs are mainly influenced by subjective norms (SN) and, to a lesser extent, attitudes towards migration (ATM) and perceived behavioural control (PBC).

The analysis drew on an original dataset built through interviews with migrants from rural areas employed in the ready-made garment (RMG) industry in four selective areas of the Metropolitan City of Chittagong.