economic sustainability

Purpose- Medicinal plants have a special value and significance in providing hygiene, health and food resources. Although the human attitude towards the products of medicinal plants has a long history, the issue of increasing the production of these products at the level of fields and gardens has taken on a new scientific form since the second half of the 20th century. The purpose of this research is to assess and measure economic, social, environmental sustainability of expanding the activities of medicinal plants in the rural development in Kohgiluyeh and Boyer Ahmad province.Design/methodology/approach- It is an applied descriptive research based on field data collection (questionnaire). The statistical population of this research included 13 villages in cold region of Kohgiluyeh and Boyer Ahmad province. According to a report by Natural Resources of the Province in 2022, 383 medicinal plant producers were determined and among all of whom the questionnaires were distributed. Descriptive statistics (mean, standard deviation and variance) and inferential (one-sample t-test and VIKOR model) were used for data analysis.Findings- The findings showed that the mean score of the social and environmental indicators is over the theoretical average value (3), while the mean score was 2.80 in terms of economic indicators. The results of VIKOR model revealed that Sepidar village with a VIKOR index of (0.157) has the highest rank and Sadat Mahmoudi village with a VIKOR index of (0.993) has the lowest rank in terms of the sustainability of the activities of medicinal plants among the villages in the study area.Original/value- This study is promising the activities of rural areas in the production of medicinal plants, which is considered as a strategy for diversification in rural settlements. Therefore, the results of this research can be given special consideration in recognizing the effects of medicinal plants in different geographical areas and have an effective role in the development of rural areas.

As changes in information technology have a significant impact on the structure of companies, integration within the supply chain, which exists directly or indirectly in the structure of any company, can be beneficial for company performance. This study examines the indirect impact of customer responsiveness integration within the supply chain on the economic sustainability of the supply chain through the adoption of blockchain technology as a dynamic capability component in the automotive industry using a Bayesian Structural Equation Modeling (BSEM)approach. The statistical population of the study consists of experts, supervisors, and managers of automotive companies, with 123 individuals selected through non-probability sampling. To assess the validity of the questionnaire, opinions of experts weresought, and Cronbach's alpha was used to determine the reliability of the questionnaires. The SEM-AMOS24 software was used to analyze the research hypotheses and examine the validity of the model usingBSEM. Thefindings of the study indicate that internal integration, including customer and supplier integration, and external integration within the supply chain, have a significant impact on the relationship between blockchain technology adoption and the economic sustainability of the supply chain. Additionally, customer responsiveness about Supply Chain Integration (SCI) and economic sustainability is achieved by attracting desirable domestic and foreign investors.