The study focus on the role of self-expressive branding, brand love, brand trust and brand commitment on brand loyalty. It also identifies the strength of mediating effect of variable brand commitment between brand love and brand trust. Also measures the strength of mediating effect of variable brand commitment between brand trust and brand loyalty. The data is gathered by using a structured questionnaire and a sample size of 101 respondents in a cross-sectional study. Statistical analysis has been done through SMART PLS 3.0 software. In the analysis part, PLS algorithms, bootstrapping, blindfolding, Importance performance matrix, FIMIX, Multi-Group analysis have been undertaken. A reflective model has been developed. The path coefficient value and empirical t-values of all direct relationships of variables above 0.2 and 1.96 respectively and substantiate the hypothesis. The results have shown that brand commitment is partially mediates the association between brand love and brand trust and also between brand trust and brand loyalty. The four-segment solution's FIMIX-PLS path coefficient shows that brand love and brand trust are more relevant in segment 3, followed by segment 2, segment 1 and segment 4, respectively. Companies should focus on improving their brand trust displayed by consumers followed by brand commitment which strengthens brand loyalty in the automobile sector. This industry could consider implementing this creating trustworthiness about the brand, by developing strong psychological connectedness between the customer and brand by the retail outlet by offering the best quality product, and by incorporating strategies to reduce cognitive dissonance among the buyers.

In the present economic context, one of the most important topics of discussion is that regarding sustainable development. According to the agenda developed by the United Nations, one of the most important objectives for the present decade is represented by the list of the Sustainable Development Goals. The Sustainable Development Goals can be divided into five pillars: people, planet, prosperity, partnership and peace. One of the first stipulated goals of the UN agenda is the eradication of poverty and famine. We consider that a significant influence on the eradication of poverty is represented by the development of technology. In this paper, the authors aim to establish a connection between the rate of technological development and the poverty headcount rate. To measure the digital development of the analyzed countries, we decided to compose an index of digital development by taking into account indicators made available by the International Telecommunication Union and the poverty headcount ratio, as was calculated by the World Bank database. This empirical study is of interest for the implications that it has in shaping governmental policies regarding easing the access to digital technology. The method used to quantify the influence of digital development on poverty was the panel data GMM vector autoregressive model for a dataset composed of 35 countries for the period between 2005 and 2018. The results indicate that an increase in digital development will lead to a reduction in the poverty headcount rate. These results imply that by increasing access to technology, countries could help reduce their level of poverty. In this paper, we will also analyze the way in which adopting digital development leads to better economic performance when faced with the COVID-19 pandemic. The results of the present study are of great interest to the scientific community and the public due to the implications of digital development in the field of economics and the combined effect of this phenomenon and the COVID-19 pandemic. We thus conclude that by encouraging digital development and through adopting new technologies, the government can lead to the eradication of poverty. This seems counterintuitive due to the fact that investment in shelter and primary goods can be seen as one of the primary ways of developing the economy. We conclude that better and more consistent results regarding the reduction of poverty can be obtained by increasing the digital development of a country.

Education and health are considered a cornerstone for obtaining targeted development in any society. Moreover, both sectors promote prosperity greatly. In this changeable epoch, people are thought out as the real wealth of any nation and this wealth with good human capital serves the economy very efficiently and productively. This research study aims to analyse how Development Assistance Committee (DAC) aid commitment for education along with institutional quality is effective for the human development of selected Asian economies. A panel data set over 2011–2018 is used for this analysis in Asian countries. GMM results show a significant and positive relationship between aid commitment for education and the human development of these economies. A more interesting result is that financial development seems to boost up human deployment in the selected Asian economies. The development of the textile industry is significantly influenced by education, especially considering the effects of OECD's Development Assistance Committee (DAC) Aid Commitments for education on human development in Asian countries. There is a dire need to reconsider more allocation of resources and aid to education and health to utilize these inflows at the maximum level for targeted development.

This study explores how professional social networks affect competitiveness using a bibliometric approach. The study uses data from the Web of Science database from 1998 to 2024 and a selection of 165 scholarly publications. The selection was made according to PRISMA guidelines for systematic literature review in 2020, while data analysis was done using Bibliometrix R package. The objective was to identify major research areas, spot new topics of interest, and chart the conceptual platform for this area by looking for co-citation, co-occurences from keywords, and thematic clusters. Early findings show how professional social networks help improve competitiveness by facilitating knowledge sharing, driving innovation diffusion, and generating strategic linkages. The clusters found were grouped into four broad categories: motor themes, basic themes, emerging themes, and niche themes, each described according to how they contribute to forming competitive advantage. This original comprehensive systematic review, to our knowledge, explores how professional social networks intersects with competitiveness, providing a sound groundwork for future studies.