Application of Sandelowski and Barroso Technique in Identifying the Components of the Reliability Model of Green Value Chain Management in Manufacturing Industries

The aim of this research is to apply the Sandelowski and Barroso technique in identifying the components of the reliability model of green value chain management in manufacturing industries. The researcher employed a systematic review and meta-synthesis approach to analyze the results and findings of previous scholars. By implementing the seven steps of Sandelowski and Barroso’s method, the study identified influencing factors. Out of ۲۸۲ articles, ۳۶ were selected based on the CASP method. The validity of the analysis was confirmed with a Kappa coefficient of ۰.۷۴۷. To measure reliability and ensure quality control, the transcription method was used, which indicated an excellent level of agreement for the identified indicators. Data analysis was conducted using MAXQDA software, leading to the identification of ۴۰ primary concepts based on ۴۰ indicators grouped into ۱۰ categories. Based on the meta-synthesis technique, ۱۰ dimensions were categorized from these concepts. In addition, ۱۰ concepts and ۴۰ indicators were identified. The ۱۰ dimensions are: environmental sustainability, operational efficiency, social and ethical responsibility, green innovation management, traceability and transparency, environmental risk management, awareness-raising and education, policymaking and regulatory compliance, utilization of advanced technologies, and economic viability of green activities. These models must be designed in such a way that they simultaneously address environmental, social, and economic needs. By focusing on these dimensions, manufacturing industries can not only enhance the reliability of their value chain but also contribute to achieving sustainable development goals through the creation of sustainable value. Thus, the use of these models can play a key role in increasing the resilience of manufacturing industries against environmental and economic challenges. The aim of this research is to apply the Sandelowski and Barroso technique in identifying the components of the reliability model of green value chain management in manufacturing industries. The researcher employed a systematic review and meta-synthesis approach to analyze the results and findings of previous scholars. By implementing the seven steps of Sandelowski and Barroso’s method, the study identified influencing factors. Out of ۲۸۲ articles, ۳۶ were selected based on the CASP method. The validity of the analysis was confirmed with a Kappa coefficient of ۰.۷۴۷. To measure reliability and ensure quality control, the transcription method was used, which indicated an excellent level of agreement for the identified indicators. Data analysis was conducted using MAXQDA software, leading to the identification of ۴۰ primary concepts based on ۴۰ indicators grouped into ۱۰ categories. Based on the meta-synthesis technique, ۱۰ dimensions were categorized from these concepts. In addition, ۱۰ concepts and ۴۰ indicators were identified. The ۱۰ dimensions are: environmental sustainability, operational efficiency, social and ethical responsibility, green innovation management, traceability and transparency, environmental risk management, awareness-raising and education, policymaking and regulatory compliance, utilization of advanced technologies, and economic viability of green activities. These models must be designed in such a way that they simultaneously address environmental, social, and economic needs. By focusing on these dimensions, manufacturing industries can not only enhance the reliability of their value chain but also contribute to achieving sustainable development goals through the creation of sustainable value. Thus, the use of these models can play a key role in increasing the resilience of manufacturing industries against environmental and economic challenges.

کلیدواژه ها:

Reliability ، Value Chain Management ، Green Supply Chain ، Manufacturing Industries