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The study aimed to identify the obstacles preventing higher learning institutions in the Dar es Salaam region from adopting sustainable procurement. In particular, the study sought to ascertain how the legal framework, supplier awareness, staff knowledge, and top management support affected sustainable procurement in the construction projects of higher learning institutions in the Dar es Salaam region. 156 employees who worked as estate officers and procurement specialists made up the study's sample, whereby the Yamane (1967) Formula was used to determine the study's sample size, which was 112 participants. However, only 101 questionnaires were collected, filled out, and returned for analysis. The data were collected using a closed-ended questionnaire using the drop-and-pick method. The data were analyzed using descriptive statistics, where the mean and standard deviation were calculated. At the same time, inferential analysis was done by using multiple linear regression analysis after testing the reliability and validity of the data and the assumptions of multiple regression analysis, including normality, linearity, homoscedasticity, and multicollinearity. The research was carried out using IBM SPSS version 26. According to the study's findings, all four tested variables, supplier awareness, management support, legal framework, and staff knowledge, have a significant positive relationship with sustainable procurement. Management in higher learning institutions should consider these variables to ensure sustainable procurement within their organization.

Despite the crucial role that businesses have played in the adoption of green supply chains, it appears that manufacturing enterprises have not effectively utilized their responsibility to ensure green manufacturing. This study uses Bakhresa Foods Product Limited as a case study to better understand the constraints facing manufacturing firms engaged in green manufacturing and offers suggestions for overcoming them. A qualitative design was adopted and data was gathered via in-depth interviews, focus group discussions (FGD), indirect observation, and secondary data analysis based on a purposive sample size of 60 respondents. Using the MAXQDA 10 program, data were analyzed using the thematic analysis technique. The study's findings showed that constraints to reducing were associated with a lack of innovation, professionals, an understanding of economics and finance and presence of extensive inventories, and inadequate production planning. Remanufacturing was further constrained by poor technology, unfavorable consumer attitudes, and a weak market strategy. Other constraints with reuse came from poor customer attitudes and awareness, lack of uniform standards for materials and goods, and inadequate government support. Constraints to recycling include a lack of support from senior top management executives, significant upfront expenses, and low-quality recycled goods. Therefore, to improve the situation, we suggest that industries make use of modernized equipment, and clean technology, improve monitoring and evaluation systems, implement the lean production philosophy, and give education about the value of recycling programs.

The study aimed to identify the obstacles preventing higher learning institutions in the Dar es Salaam region from adopting sustainable procurement. In particular, the study sought to ascertain how the legal framework, supplier awareness, staff knowledge, and top management support affected sustainable procurement in the construction projects of higher learning institutions in the Dar es Salaam region. 156 employees who worked as estate officers and procurement specialists made up the study's sample, whereby the Yamane (1967) Formula was used to determine the study's sample size, which was 112 participants. However, only 101 questionnaires were collected, filled out, and returned for analysis. The data were collected using a closed-ended questionnaire using the drop-and-pick method. The data were analyzed using descriptive statistics, where the mean and standard deviation were calculated. At the same time, inferential analysis was done by using multiple linear regression analysis after testing the reliability and validity of the data and the assumptions of multiple regression analysis, including normality, linearity, homoscedasticity, and multicollinearity. The research was carried out using IBM SPSS version 26. According to the study's findings, all four tested variables, supplier awareness, management support, legal framework, and staff knowledge, have a significant positive relationship with sustainable procurement. Management in higher learning institutions should consider these variables to ensure sustainable procurement within their organization.

Despite the crucial role that businesses have played in the adoption of green supply chains, it appears that manufacturing enterprises have not effectively utilized their responsibility to ensure green manufacturing. This study uses Bakhresa Foods Product Limited as a case study to better understand the constraints facing manufacturing firms engaged in green manufacturing and offers suggestions for overcoming them. A qualitative design was adopted and data was gathered via in-depth interviews, focus group discussions (FGD), indirect observation, and secondary data analysis based on a purposive sample size of 60 respondents. Using the MAXQDA 10 program, data were analyzed using the thematic analysis technique. The study's findings showed that constraints to reducing were associated with a lack of innovation, professionals, an understanding of economics and finance and presence of extensive inventories, and inadequate production planning. Remanufacturing was further constrained by poor technology, unfavorable consumer attitudes, and a weak market strategy. Other constraints with reuse came from poor customer attitudes and awareness, lack of uniform standards for materials and goods, and inadequate government support. Constraints to recycling include a lack of support from senior top management executives, significant upfront expenses, and low-quality recycled goods. Therefore, to improve the situation, we suggest that industries make use of modernized equipment, and clean technology, improve monitoring and evaluation systems, implement the lean production philosophy, and give education about the value of recycling programs.