Search results for "Data analytics"
showing 10 items of 21 documents
How to apply privacy by design in osint and big data analytics?
2019
In a world where technology grows exponentially, more information is available to us every day. States and their governments have collected information on their citizens for a long time now. On the other hand, people give out more and more personal information voluntarily through social media. Information available on the Internet is easier to analyze with modern technologies and the original source of information is also easier to track down. Information is available to all of us and that information can be used to investigate personal data, defeat competitors in a corporate world, solve crimes or even win wars. This study analyses open source intelligence (OSINT) and big data analytics (B…
Information, Communications and Media Technologies for Sustainability: Constructing Data-Driven Policy Narratives
2021
This paper introduces the idea of data-driven narratives to examine how the use of information, communications, and media technologies (ICMTs) impacts the sustainable growth of economies. While ICMTs have regularly been advocated as a policy tool for growth and development, there is a research gap in empirical studies validating how such policies may be effective. This analysis is based on historical panel data from 39 economies across the developed North (19) and developing South (20). The industry-standard Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology was applied to construct narratives that weave extant theories with empirical data. The art of developing data-dri…
Leveraging the benefits of big data with fast data for effective and efficient cybersecurity analytics systems : A robust optimisation approach
2020
In recent times, major cybersecurity breaches and cyber fraud within the public and private sectors are making international headlines. Majority of organisations are facing cybersecurity adversity and advanced threats. On the one hand, we have asynchronous cybersecurity practices, many standards and frameworks to consider while on the other hand, we have to deal and secure our organisations against cyber-criminals, organised hacktivists, insider threats, hackers and nation-states with malafide intentions. The Center for Cyber Safety and Education's Global Information Security Workforce Study (GISWS) confirms that globally we are not only loosing but also backpedalling against threats and ri…
A Neural Network Meta-Model and its Application for Manufacturing
2015
International audience; Manufacturing generates a vast amount of data both from operations and simulation. Extracting appropriate information from this data can provide insights to increase a manufacturer's competitive advantage through improved sustainability, productivity, and flexibility of their operations. Manufacturers, as well as other industries, have successfully applied a promising statistical learning technique, called neural networks (NNs), to extract meaningful information from large data sets, so called big data. However, the application of NN to manufacturing problems remains limited because it involves the specialized skills of a data scientist. This paper introduces an appr…
Barriers to Data-Driven Decision-Making Among Online Retailers
2022
This study investigates the barriers to data-driven decision-making among online retailers. The study seeks to deepen the previous knowledge by considering data-driven decision-making as a process and identifying the critical obstacles within its different (6) stages. Qualitative interview data (N=10) collected from Finnish e-commerce professionals are analyzed. The findings show that barriers to data-driven decision-making occur at all stages during the decision-making process. The barriers are mostly related to the employees’ and the management’s expertise in collecting, organizing, analyzing, summarizing, synthesizing, and prioritizing data. In addition, attitudinal, technical, and strat…
Internet Related Technologies in the auditing profession: A WOS bibliometric review of the past three decades and conceptual structure mapping
2022
Research on Internet-Related Technologies in the auditing profession has grown substantially over the past three decades; however, it is very fragmented. This study seeks to synthesize and provide a comprehensive overview of the literature. Using bibliometric techniques and content analysis, this study provides an exhaustive overview of the research on Internet-Related Technologies in the auditing profession. The study utilized bibliography from the Web of Science database spanning for three decades from 1990 to 2019. A total of 236 academic documents, written by 478 authors from 102 sources was retrieved and used for the analysis. HistCite and Biblioshiny in R were used to run the citation…
DIAMIN: a software library for the distributed analysis of large-scale molecular interaction networks
2022
AbstractBackgroundHuge amounts of molecular interaction data are continuously produced and stored in public databases. Although many bioinformatics tools have been proposed in the literature for their analysis, based on their modeling through different types of biological networks, several problems still remain unsolved when the problem turns on a large scale.ResultsWe propose , that is, a high-level software library to facilitate the development of applications for the efficient analysis of large-scale molecular interaction networks. relies on distributed computing, and it is implemented in Java upon the framework Apache Spark. It delivers a set of functionalities implementing different ta…
The New Era of Business Digitization through the Implementation of 5G Technology in Romania
2021
The main objective of the present research is to identify the advantages and benefits that the use and implementation of 5G technology has on the development and evolution of the Romanian business environment. The study is based on a theoretical documentation regarding existing information in the field and a descriptive analysis of the evolution of the technology in Romania and worldwide. The research method chosen is a survey based on an opinion poll (questionnaire) to find out the availability of economic entities regarding the implementation of 5G technologies, the foreseen expectations and those realized by the business environment regarding the effects of 5G technologies on the economi…
Big data and HR analytics in the digital era
2019
Purpose The purpose of this paper is to focus on how the HR function takes advantage of human resource analytics (HRA), including big data (BD), and discuss factors hindering HRA and data utilization. Moreover, the authors discuss the implications of the HRA-induced role transformation of the human resource (HR) function. Design/methodology/approach This is an explorative case study based on qualitative interviews in nine leading Finnish companies. Findings The results indicate that both technical and human obstacles, operating with very basic HR processes and traditional information systems and poor data quality, hinder adoption of advanced HRA. This, combined with lacking skills in analy…
The Role of Big Data in Addressing Societal Challenges: A Systematic Mapping Study
2019
Part 2: Big Data Analytics; International audience; Big data has recently become the focus of academic and corporate investigation due to its high potential in generating business and social value. We have done a systematic mapping of the literature related to big data and its applications leading to social change through the lens of social innovation. The search strategy initially resulted in 593 papers, and after applying inclusion exclusion criteria a total of 156 papers were mapped; 59% of which were identified as empirical studies. This mapping investigated the publication frequency of the studies, research approach and contributions, research areas and article distribution per journal…