{"title":"面向过程的产品碳足迹测量模型:基于多案例的探索性研究","authors":"Jialun Hu, Yongjiang Shi, Yang Cheng, Zheng Liu","doi":"10.1080/09537287.2023.2266410","DOIUrl":null,"url":null,"abstract":"Climate change is global challenge and decarbonisation becomes top agenda for manufacturing firms. As it is generally recognized that only the measured get managed, an understanding and measuring of the Product Carbon Footprint (PCF) is now needed. International standards have provided the basic steps for carbon footprint measurement, yet, in practice, there is knowledge insufficiency and high cost. This paper aims to answer the research question: ‘How can companies conduct PCF measurement projects effectively?’. This research adopts the qualitative method with multiple case studies. Data is collected through interviews with operation managers and the sustainability specialists of nine manufacturing companies, with a focus on the motivation and details of activities relating to their PCF measurement projects. Through within-case and cross-case analysis, a process model is proposed alongside the identification of three types of PCF, trial-oriented, process-oriented, and market-oriented PCF. A series of tailored measurement process models are further developed according to the PCF scenarios. The holistic process model contributes to the understanding of a PCF measurement that is based on empirical evidence. Practically, the process model can serve as a ‘cookbook’ to implement PCF measurement projects.","PeriodicalId":20627,"journal":{"name":"Production Planning & Control","volume":"43 1","pages":"0"},"PeriodicalIF":6.1000,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A process-oriented model to measure product carbon footprint: an exploratory study based on multiple cases\",\"authors\":\"Jialun Hu, Yongjiang Shi, Yang Cheng, Zheng Liu\",\"doi\":\"10.1080/09537287.2023.2266410\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Climate change is global challenge and decarbonisation becomes top agenda for manufacturing firms. As it is generally recognized that only the measured get managed, an understanding and measuring of the Product Carbon Footprint (PCF) is now needed. International standards have provided the basic steps for carbon footprint measurement, yet, in practice, there is knowledge insufficiency and high cost. This paper aims to answer the research question: ‘How can companies conduct PCF measurement projects effectively?’. This research adopts the qualitative method with multiple case studies. Data is collected through interviews with operation managers and the sustainability specialists of nine manufacturing companies, with a focus on the motivation and details of activities relating to their PCF measurement projects. Through within-case and cross-case analysis, a process model is proposed alongside the identification of three types of PCF, trial-oriented, process-oriented, and market-oriented PCF. A series of tailored measurement process models are further developed according to the PCF scenarios. The holistic process model contributes to the understanding of a PCF measurement that is based on empirical evidence. Practically, the process model can serve as a ‘cookbook’ to implement PCF measurement projects.\",\"PeriodicalId\":20627,\"journal\":{\"name\":\"Production Planning & Control\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2023-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Production Planning & Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/09537287.2023.2266410\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Production Planning & Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/09537287.2023.2266410","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
A process-oriented model to measure product carbon footprint: an exploratory study based on multiple cases
Climate change is global challenge and decarbonisation becomes top agenda for manufacturing firms. As it is generally recognized that only the measured get managed, an understanding and measuring of the Product Carbon Footprint (PCF) is now needed. International standards have provided the basic steps for carbon footprint measurement, yet, in practice, there is knowledge insufficiency and high cost. This paper aims to answer the research question: ‘How can companies conduct PCF measurement projects effectively?’. This research adopts the qualitative method with multiple case studies. Data is collected through interviews with operation managers and the sustainability specialists of nine manufacturing companies, with a focus on the motivation and details of activities relating to their PCF measurement projects. Through within-case and cross-case analysis, a process model is proposed alongside the identification of three types of PCF, trial-oriented, process-oriented, and market-oriented PCF. A series of tailored measurement process models are further developed according to the PCF scenarios. The holistic process model contributes to the understanding of a PCF measurement that is based on empirical evidence. Practically, the process model can serve as a ‘cookbook’ to implement PCF measurement projects.
期刊介绍:
Production Planning & Control is an international journal that focuses on research papers concerning operations management across industries. It emphasizes research originating from industrial needs that can provide guidance to managers and future researchers. Papers accepted by "Production Planning & Control" should address emerging industrial needs, clearly outlining the nature of the industrial problem. Any suitable research methods may be employed, and each paper should justify the method used. Case studies illustrating international significance are encouraged. Authors are encouraged to relate their work to existing knowledge in the field, particularly regarding its implications for management practice and future research agendas.