درخت حوزه‌های تخصصی

This study aims to explore how social media algorithms influence brand visibility and customer engagement for new ventures, identifying key strategies and challenges faced by these businesses. This qualitative study employed semi-structured interviews to gather in-depth insights from 18 participants, including founders and social media managers of new ventures. Participants were selected using purposive sampling to ensure relevance to the study's focus. Interviews were transcribed and analyzed using NVivo software, with data saturation achieved after 15 interviews. Thematic analysis was conducted to identify recurring themes and subthemes related to social media algorithms, brand visibility, and customer engagement. Three main themes emerged from the analysis: the impact of algorithms on brand visibility, customer engagement through social media, and challenges in leveraging algorithms. Within these themes, subcategories included platform-specific algorithm changes, content optimization techniques, timing and frequency of posts, interaction with algorithmic features, engagement tactics, content personalization, influencer collaborations, resource allocation, platform dependency, knowledge gaps, and data privacy concerns. Participants highlighted the need for continuous adaptation to algorithm changes, effective content strategies, and personalized engagement tactics to enhance visibility and engagement, while also facing significant challenges such as resource constraints and maintaining ethical practices. The study concludes that understanding and effectively leveraging social media algorithms is essential for new ventures to enhance brand visibility and customer engagement.

The article proposes a methodical approach to assessing the competitiveness of enterprises in the logistics infrastructure of the Black Sea region in the context of the strategy of the development of the Black Sea. The article is presented is the author's interpretation of the steel development of the territory and injected into the logistic infrastructure. It was proposed of the methodical approach to assessing the competitiveness of enterprises-moving enterprises in the development of the territory, as one of the stages of the methodology for assessing the development of the territory in the region. It have been identified Indicators for assessing sustainable development in assessing the competitiveness of key enterprises in the region and in terms of using the TOPSIS model. The application of the TOPSIS model allows to assess the value of the aggregate indicator of sustainable development of a region or territory, taking into account the impact of the level of competitiveness of its key enterprises. In the context of this approach, it is studied and evaluated the level of competitiveness of powerful enterprises of the Black Sea region, which form the logistics infrastructure of the region. It was  determined their influence on the strategy of sustainable development of the territory. This approach allowed to expand the methodology for assessing the assessment of sustainable development of the territory through the methodology of assessing the competitiveness of enterprises-engines of development of the territory, as one of the stages of the overall methodology.