Add to ORKGThe global academic and practitioner industries have shown significant interest in the effect and importance of big data analytics and new technologies on supply chains. Based on the organizational information processing theory, this study attempts to investigate how big data driven supply chain analytics management capability influence firm performance. We tested our research hypotheses using variance based structural equation modelling with survey data collected using a web based pre-tested instrument from 201 respondents employed various industries in Turkey. The findings indicate that supply chain analytics Management capability has positive effect on firm performance
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel UniversityIn ...
Research advancements in big data analytics have invoked tremendous attention from both academics an...
The main aim of the current study is to analyze the effect of SCC on the large information analysis ...
The global academic and practitioner industries have shown significant interest in the effect and im...
The global integration of supply chains has tremendously increased data generation in operational pr...
Big data and analytics have been emerging topics in 2010’s. Applied to supply chain management they ...
Please note that the full text of the AAM must only appear in the IR once the final version of the a...
Purpose: Big data-driven supply chain analytics capability (SCAC) is now emerging as the next fronti...
Big Data and Predictive Analytics (BDPA) is considered a significant resource that enables the firm ...
In the era of Big Data, many organisations have successfully leveraged Big Data Analytics (BDA) capa...
This paper aims to examine the relationship between big data analytics (BDA) and supply chain (SC) p...
The amount of the data produced by the government, the private sector and the general public has bee...
Purpose: The purpose of this paper is to investigate the effects of Big Data analytics, data securit...
This paper aims to understand the impact of big data analytics on the retail supply chain. For doing...
Abstract- The recent trend in big data application has led the organizations to think about its appl...
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel UniversityIn ...
Research advancements in big data analytics have invoked tremendous attention from both academics an...
The main aim of the current study is to analyze the effect of SCC on the large information analysis ...
The global academic and practitioner industries have shown significant interest in the effect and im...
The global integration of supply chains has tremendously increased data generation in operational pr...
Big data and analytics have been emerging topics in 2010’s. Applied to supply chain management they ...
Please note that the full text of the AAM must only appear in the IR once the final version of the a...
Purpose: Big data-driven supply chain analytics capability (SCAC) is now emerging as the next fronti...
Big Data and Predictive Analytics (BDPA) is considered a significant resource that enables the firm ...
In the era of Big Data, many organisations have successfully leveraged Big Data Analytics (BDA) capa...
This paper aims to examine the relationship between big data analytics (BDA) and supply chain (SC) p...
The amount of the data produced by the government, the private sector and the general public has bee...
Purpose: The purpose of this paper is to investigate the effects of Big Data analytics, data securit...
This paper aims to understand the impact of big data analytics on the retail supply chain. For doing...
Abstract- The recent trend in big data application has led the organizations to think about its appl...
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel UniversityIn ...
Research advancements in big data analytics have invoked tremendous attention from both academics an...
The main aim of the current study is to analyze the effect of SCC on the large information analysis ...