In the era of artificial intelligence, smart clothing, as a product of the interaction between fashion clothing and intelligent technology, has increasingly attracted the attention and affection of enterprises and consumers. However, to date, there is a lack of focus on the demand of silver-haired population’s consumers for smart clothing. To adapt to the rapidly aging modern society, this paper explores the influencing factors of silver-haired population’s demand for smart clothing and proposes a corresponding consumer-consumption-need theoretical model (CCNTM) to further promote the development of the smart clothing industry. Based on literature and theoretical research, using the technology acceptance model (TAM) and functional-expressive-aesthetic consumer needs model (FEAM) as the foundation, and introducing interactivity and risk perception as new external variables, a consumer-consumption-need theoretical model containing nine variables including perceived usefulness, perceived ease of use, functionality, expressiveness, aesthetics, interactivity, risk perception, purchase attitude, and purchase intention was constructed. A questionnaire survey was conducted among the Chinese silver-haired population aged 55–65 using the Questionnaire Star platform, with a total of 560 questionnaires issued. The results show that the functionality, expressiveness, interactivity, and perceived ease of use of smart clothing significantly positively affect perceived usefulness (P < 0.01); perceived usefulness, perceived ease of use, aesthetics, and interactivity significantly positively affect the purchase attitude of the silver-haired population (P < 0.01); perceived usefulness, aesthetics, interactivity, and purchase attitude significantly positively affect the purchase intention of the silver-haired population (P < 0.01); functionality and expressiveness significantly positively affect perceived ease of use (P < 0.01); risk perception significantly negatively affects purchase attitude (P < 0.01). Through the construction and empirical study of the smart clothing consumer-consumption-need theoretical model, this paper hopes to stimulate the purchasing behavior of silver-haired population’s consumers towards smart clothing and enable them to enjoy the benefits brought by scientific and technological advancements, which to live out their golden years in comfort, also, promote the rapid development of the smart clothing industry.

Public-private partnerships (PPPs) were established in Brazil at the beginning of this century, following a global trend of using these partnerships to stimulate investment in infrastructures, particularly in a framework of restrictive budgetary and fiscal conditions. Despite their growing importance and the expectation of an expanding role in the future, not much is known about the actual facts on the ground. The objective of this paper is to be a first step in the direction of filling this information gap by providing important stylized facts about the universe of PPPs in Brazil: the quantitative evolution of PPP adoptions; the characterization of the geographical distribution of PPPs by government level (federal, state, district, and municipal); the characterization of the PPP intervention areas, including the total value of contracts and the modalities of PPP concession (sponsored and administrative). This objective is rendered possible by the development of a new database that covers the entire process of PPP contracting from 2005 to 2022, including the opening of public consultation procedures, the publication of the official notice, and the signing of contracts, as well as multiple thematic, financial, jurisdictional, and regional indicators. In turn, we see the establishment of these stylized facts as a necessary first step in the direction of understanding the factors that may determine or condition their adoption. In general, having a clear picture of the universe of the PPPs in Brazil is fundamental as their use and their role are expected to significantly increase in the future as the country pursues a path of improved economic activity and well-being of the population.

This study aims to evaluate the influence of population dependency ratio on the economic growth of Bangladesh, India, and Pakistan, the three members of the South Asian Association for Regional Cooperation (SAARC). The study covers the time from 1960 to 2021. It also analyses in detail how population aging and the youth dependency ratio affects the development of certain sectors, including industry, services and agriculture. This study uses panel data to determine the influence of population dependency ratios on economic growth. To estimate this effect, we use the Pooled Mean Group/Autoregressive Distributed Lag (PMG/ARDL) technique. Based on the results obtained from the ARDL analysis indicate the presence of a long-term relationship among these variables. These discoveries align with prior empirical research conducted by Lee and Shin, Mamun et al., and Rostiana and Rodesbi. Furthermore, the findings suggest that an increase in the old age population dependency ratio positively influences economic growth within these nations. The long-term relationship findings pertaining to the old and young dependency ratio and economic growth corroborate the conclusions of Bawazir et al., who proposed that the old population dependency ratio exerts a favorable impact, while the young population has an adverse effect on economic growth. Originality: This research focused on the population dependency ratio, a pivotal demographic metric that gauges the proportion of individuals relying on support (including children and the elderly) compared to those of working age. This investigation particularly explores the interconnection between the population dependency ratio and sectoral development, an essential aspect given that various sectors make distinct contributions to economic advancement. Examining how population dynamics affect sectoral development yields valuable insights into the overall economic performance of Pakistan, India, and Bangladesh.

This research reviews the environmental, social, and governance (ESG) performance of corporate social responsibility (CSR) and technology innovation development, and analyzes the impact of technology innovation on ESG performance and its influencing mechanism. In additional, the main purpose of this study is to gain an understanding the relationships of ESG performance, CSR and technology innovation in Art industry. We found that technology innovation impact CSR of art firm, and ESG performance with the moderating variable of technology innovation has a significant and positive impact on CSR. Likewise, the study is based on primary panel data collected from 161 consumer, product and service manufacturing companies through an electronic questionnaire (Google, Microsoft online survey) with five-point Likert measurement scale. The exploratory factor analysis is proposed to be carried out using IBM SPSS 27.0 and the confirmatory factor analysis (CFA analysis) is proposed to be carried out using SmartPLS.4.0 analysis software, and this study investigate the measurement factors and the reliability of the construct items and to validate the factorial structure of the research variables. Moreover, digital technology and CSR has the potential to contribute to this impact. Based on these findings, we propose relevant ESG performance recommendations to improve technology innovation and CSR. Our findings offer an excited knowing and learning of the impact of ESG performance, CSR and technology innovation in Chinese art industry. Furthermore, this study extends stakeholders theory and Schumpeter’s Innovation Theory by proving their utility in the perspective of CSR, ESG performance.

The article emphasizes the dynamism of social processes in the world aimed at humanizing modern society. Social work in the third millennium became one of the priority topics in Europe and acquired the status of an independent field of science and research in terms of science and education. The possibility of extrapolation of innovative foreign technologies into the practice of social work in Ukraine was investigated. It was found that the process of implementation of innovative foreign technologies into the practice of social work in Ukraine has already begun and is ongoing. In the improvement of the domestic system of professional training of social workers, the authors of the article see an appeal to the experience of applying European innovative technologies and practices of social work, in particular in the Republic of Poland. The leading determinants of social technologies, which determine their specificity, are singled out: multidisciplinarity, hierarchy, multidirectionality, flexibility, standardization. The need for effective and timely implementation of the integration of three groups of social support technologies in the conditions of the martial law in which Ukraine is today has been updated. The perspective of further scientific research is defined in the substantiation of the organizational and pedagogical conditions of their application in the process of informal and informal education.