{"title":"Hotspots and Frontiers in Global Online Learning Satisfaction Research from 2000 to 2022: A visual analysis using CiteSpace","authors":"Han Zengxia","doi":"10.35609/gcbssproceeding.2023.1(48)","DOIUrl":null,"url":null,"abstract":"The food processing industry has a significant impact on the socioeconomic development of a nation. The total output of Indian food processing may touch $535 billion by 2025-2026. About 1.77 million people are employed in the Indian food industry (IBEF, 2022). However, the food processing industry in India is facing numerous challenges, including a lack of food quality, inadequate supply chain infrastructure, food waste, greenhouse gas emissions, and so on (Kumar et al., 2020; Sharma et al., 2019). These challenges are interrelated with each other and pose a significant threat to sustainability. Considering this background, this study aims to identify and analyse the interrelationships among the challenges associated with sustainability in the Indian food processing industry and then to prioritise those challenges. Additionally, this study also classifies those challenges based on driving and dependence power. The authors identified eleven challenges associated with sustainability in the Indian food processing industry with the help of a literature review. Then based on expert opinion, the interpretive structural modelling (ISM) was employed to determine the interrelationships among the challenges, and finally, a prioritisation order for those challenges was established. ISM is a methodology for identifying the interrelationships and modelling the challenges, especially while dealing with complex issues (Attri et al., 2013). Further, Matrices d'Impacts Croises Multiplication Appliqué a un Classement (Cross-impact matrix multiplication applied to classification) (MICMAC) analysis was also carried out to categorise the challenges according to the driving and dependence power. Keywords: Food Processing Industry; Sustainable Challenges; Sustainability; Interpretive Structural Modelling; MICMAC Analysis.","PeriodicalId":143319,"journal":{"name":"Global Conference on Business and Social Sciences Proceeding","volume":"359 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Conference on Business and Social Sciences Proceeding","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35609/gcbssproceeding.2023.1(48)","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The food processing industry has a significant impact on the socioeconomic development of a nation. The total output of Indian food processing may touch $535 billion by 2025-2026. About 1.77 million people are employed in the Indian food industry (IBEF, 2022). However, the food processing industry in India is facing numerous challenges, including a lack of food quality, inadequate supply chain infrastructure, food waste, greenhouse gas emissions, and so on (Kumar et al., 2020; Sharma et al., 2019). These challenges are interrelated with each other and pose a significant threat to sustainability. Considering this background, this study aims to identify and analyse the interrelationships among the challenges associated with sustainability in the Indian food processing industry and then to prioritise those challenges. Additionally, this study also classifies those challenges based on driving and dependence power. The authors identified eleven challenges associated with sustainability in the Indian food processing industry with the help of a literature review. Then based on expert opinion, the interpretive structural modelling (ISM) was employed to determine the interrelationships among the challenges, and finally, a prioritisation order for those challenges was established. ISM is a methodology for identifying the interrelationships and modelling the challenges, especially while dealing with complex issues (Attri et al., 2013). Further, Matrices d'Impacts Croises Multiplication Appliqué a un Classement (Cross-impact matrix multiplication applied to classification) (MICMAC) analysis was also carried out to categorise the challenges according to the driving and dependence power. Keywords: Food Processing Industry; Sustainable Challenges; Sustainability; Interpretive Structural Modelling; MICMAC Analysis.
食品加工业对一个国家的社会经济发展有着重要的影响。到2025-2026年,印度食品加工的总产值可能达到5350亿美元。大约177万人受雇于印度食品工业(IBEF, 2022)。然而,印度的食品加工业正面临着众多挑战,包括食品质量低下、供应链基础设施不足、食物浪费、温室气体排放等(Kumar et al., 2020;Sharma et al., 2019)。这些挑战相互关联,对可持续性构成重大威胁。考虑到这一背景,本研究旨在确定和分析与印度食品加工业可持续性相关的挑战之间的相互关系,然后确定这些挑战的优先级。此外,本研究还根据驾驶能力和依赖能力对这些挑战进行了分类。在文献综述的帮助下,作者确定了印度食品加工业中与可持续性相关的11个挑战。然后在专家意见的基础上,采用解释结构建模(ISM)确定挑战之间的相互关系,最后确定挑战的优先顺序。ISM是一种识别相互关系并为挑战建模的方法,特别是在处理复杂问题时(Attri et al., 2013)。此外,还进行了交叉碰撞矩阵乘法应用分类(交叉碰撞矩阵乘法应用于分类)(MICMAC)分析,根据驱动和依赖程度对挑战进行分类。关键词:食品加工业;可持续发展的挑战;可持续性;解释结构建模;密克马克语的分析。