{"title":"大数据分析能力和供应链可持续性:来自酒店业的证据","authors":"N. Alzboun","doi":"10.5267/j.uscm.2023.8.004","DOIUrl":null,"url":null,"abstract":"Big data analytics capabilities have piqued the curiosity of academics and practitioners in recent years. However, there has been little research conducted on the effects of these capabilities on supply chain sustainability, particularly in emerging economies. To address this gap, this article attempted to investigate the impact of big data analytics capabilities on the supply chain sustainability of Jordan's hospitality industry using quantitative data derived from 512 managers in senior and middle levels of hotels listed in Jordan Hotels Association (JHA). Structural Equation Modelling (SEM) was conducted for hypothesis evaluation. The research findings proved that the dimensions of big data analytics capabilities, which were infrastructure flexibility, management capabilities, and personnel capabilities, had a significant positive role in enhancing supply chain sustainability. Therefore, the research provided a series of recommendations for managers in these hotels, the most important of which was allocating significant investments in modern data-collecting technologies to record key changes across the supply chain, including manufacturing, transportation, and distribution.","PeriodicalId":23429,"journal":{"name":"Uncertain Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Big data analytics capabilities and supply chain sustainability: Evidence from the hospitality industry\",\"authors\":\"N. Alzboun\",\"doi\":\"10.5267/j.uscm.2023.8.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Big data analytics capabilities have piqued the curiosity of academics and practitioners in recent years. However, there has been little research conducted on the effects of these capabilities on supply chain sustainability, particularly in emerging economies. To address this gap, this article attempted to investigate the impact of big data analytics capabilities on the supply chain sustainability of Jordan's hospitality industry using quantitative data derived from 512 managers in senior and middle levels of hotels listed in Jordan Hotels Association (JHA). Structural Equation Modelling (SEM) was conducted for hypothesis evaluation. The research findings proved that the dimensions of big data analytics capabilities, which were infrastructure flexibility, management capabilities, and personnel capabilities, had a significant positive role in enhancing supply chain sustainability. Therefore, the research provided a series of recommendations for managers in these hotels, the most important of which was allocating significant investments in modern data-collecting technologies to record key changes across the supply chain, including manufacturing, transportation, and distribution.\",\"PeriodicalId\":23429,\"journal\":{\"name\":\"Uncertain Supply Chain Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Uncertain Supply Chain Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5267/j.uscm.2023.8.004\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Decision Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Uncertain Supply Chain Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5267/j.uscm.2023.8.004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Decision Sciences","Score":null,"Total":0}
Big data analytics capabilities and supply chain sustainability: Evidence from the hospitality industry
Big data analytics capabilities have piqued the curiosity of academics and practitioners in recent years. However, there has been little research conducted on the effects of these capabilities on supply chain sustainability, particularly in emerging economies. To address this gap, this article attempted to investigate the impact of big data analytics capabilities on the supply chain sustainability of Jordan's hospitality industry using quantitative data derived from 512 managers in senior and middle levels of hotels listed in Jordan Hotels Association (JHA). Structural Equation Modelling (SEM) was conducted for hypothesis evaluation. The research findings proved that the dimensions of big data analytics capabilities, which were infrastructure flexibility, management capabilities, and personnel capabilities, had a significant positive role in enhancing supply chain sustainability. Therefore, the research provided a series of recommendations for managers in these hotels, the most important of which was allocating significant investments in modern data-collecting technologies to record key changes across the supply chain, including manufacturing, transportation, and distribution.
期刊介绍:
Supply chain management (SCM) plays an essential role in managing the movement of raw materials into an organization, certain issues of the internal processing of materials into finished goods, and the movement of finished products out of the organization for end-consumer delivery. The goal of SCM is to improve trust and collaboration among supply chain partners and to improve inventory visibility. However, many SCM problems deal with uncertain events such as uncertainty in demand, supply, quality, price, etc. This forum is dedicated to all scholars who wish to share their ideas about uncertainty in SCM problems. Uncertain supply chain management is a quarterly publication dedicated to all scientists in all over the world who wish to share their experiences and knowledge in this field. Our policy is to perform a peer review on all submitted articles and publishes original and high quality articles.