...Chiwuokem Nwoko; Maureen Meadows; Justin Okoli; Alexeis Garcia Perez Purpose Prior Big Data and fraud research emphasises technical detection or generic analytics, offering limited empirical insight into how Big Data is operationalised as practices and controls in e-retail fraud prevention...

...Ilker Topcu; Birsen Karpak; Füsun Ülengin; Emel Aktas Purpose This study aims to investigate the intersection of supply chain management (SCM) and big data analytics (BDA) through a multidimensional approach that incorporates bibliometric and network analysis (BNA) and a systematic literature...

...Islam Bourini; Muataz Al Hazza; Ammar Kaddoura Purpose This study investigates how Big Data analytics enhances green strategic alignment and supports sustainable operational performance, with empirical evidence from the United Arab Emirates’s ICT sector. It explores the mechanisms by which digital...

...Dieudonné Tchuente; Anass El Haddadi Purpose Using analytics for firms' competitiveness is a vital component of a company's strategic planning and management process. In recent years, organizations have started to capitalize on the significant use of big data for analyses to gain valuable insights...

...Tang Daifen Purpose Under the big data background, there are many influencing factors for investors of new energy vehicles (NEV), and government subsidies promote the sustainable development of the new energy vehicle industry. Therefore, the purpose of the study is to provide solutions...

...Feifei Sun; Guohong Shi Purpose This paper aims to effectively explore the application effect of big data techniques based on an α-support vector machine-stochastic gradient descent (SVMSGD) algorithm in third-party logistics, obtain the valuable information hidden in the logistics big...

...Jinlei Yang; Yuanjun Zhao; Chunjia Han; Yanghui Liu; Mu Yang Purpose The purpose of the research is to assess the risk of the financial market in the digital economy through the quantitative analysis model in the big data era. It is a big challenge for the government to carry out financial market...

...). With the development of the economy and society, finance plays an increasingly important role in China's macro-control and system transformation. It has become the most important, sensitive and eye-catching factor that affects the operation of the macro-economy and its development. Entropy method Big data...

...Zhao Yaoteng; Li Xin Purpose The purpose of this paper is to explore the sustainable development strategy of green finance under the background of big data. Design/methodology/approach From the perspective of big data, this paper uses quantitative and qualitative analysis methods to judge...

...-use rights only Big data Supply chain performance Sustainable agriculture supply chains Sustainability Circular economy Meeting the demand for food and decreasing the negative consequences of the agriculture supply chain (ASC) on the environment is one of the biggest challenges...

...Wenhua Yang; Yigang Lin Purpose In the context of circular economy, tourism resources development and integrated marketing need to interact with multiple businesses, data processing with big data technology, and in the information age, the best means of integrated marketing is to integrate...

... the market and government interventions. H2. Government interventions may reduce the number of innovators withdrawing from the market. Digital economy innovators Big data Government intervention Marketization level Market size Withdrawal of innovators After the 2008 global...

...., 2018). 28 12 2020 03 02 2021 31 03 2021 10 04 2021 © Emerald Publishing Limited 2021 Emerald Publishing Limited Licensed re-use rights only Green computing technology Neural network Sustainable development Big data Social and economic development...

...Xinyi Zhang; Yanni Yu; Ning Zhang Purpose This study aims to provide a literature review and bibliometric analysis of sustainable supply chain management using big data. We reviewed the literature on sustainable supply chain management under big data from 2012 to 2019 and extracted 777 articles...

... projects can be predicted by measuring and analyzing big data of social media activity, human capital of funders and online project presentation. The ensemble neural network method achieves highest accuracy. The investments rose from early projects and another platform by the funder serve as credible...

... of the existing methods, tools and techniques that have been used for phishing detection. Currently, machine learning is demonstrating its effectiveness in an extensive range of applications. This technology has come to the forefront in recent times, owing to the advent of big data (Sahingoz et al., 2019...

...Mihalis Giannakis; Michalis Louis Purpose Decision support systems are becoming an indispensable tool for managing complex supply chains. The purpose of this paper is to develop a multi-agent-based supply chain management system that incorporates big data analytics that can exert autonomous...