Search results for "Big data"
showing 10 items of 311 documents
Creating the Socio-technical Context Needed to Derive Benefits from Big Data Initiatives in Healthcare
2021
The application of big data in healthcare typifies a complex socio-technical sys- tem. However, although research and practice have advanced the technical aspects of big data, comparable advancements in the social aspects (i.e., human and structural aspects) are lagging. Literature, especially on socio-technical theory, suggests that organizations may only derive benefits from big data initiatives when technical initiatives are adequate- ly complemented by social interventions. Thus, seeing that big data is receiving consider- able attention in healthcare, researchers have called for further research into the social aspects of the application of big data in healthcare. Adopting a socio-tech…
Qualitative analysis of housing demand using Google trends data
2019
Big data analytics often refer to the breakdown of huge amounts of data into a more readable and useful format. This study utilises Google Trends big data as a proxy for an analysis of housing demand. We employ a qualitative method (fuzzy set/Qualitative Comparative Analysis, fsQCA), instead of a quantitative method, for our estimate and forecast. The empirical results show that fsQCA successfully forecasts seasonal time series, even though the dataset is small in size. Our findings fill the gap in the qualitative and time series forecasting literature, and the forecasting procedure herein also offers a good standard for industry.
The nexus between big data and sustainability: an analysis of current trends and developments
2021
[EN] With the development of technological innovations, Big Data is transforming the socioeconomic world, impacting almost every organization and person. The transformations associated with the development of Big Data have important consequences for the sustainability of organizations, regions, and the society as a whole, and as such, they have been specifically addressed by the academic literature focusing on sustainability. Despite its importance, and perhaps because of its rapid emergence, there is a lack of studies dealing with the analysis of this body of literature and its trends. The current research attempts to fill this gap. The study develops a bibliometric and visualization analy…
Big Data e accesso al credito degli immigrati: discriminazioni algoritmiche e tutela del consumatore
2020
The aim of this essay is to assess the capacity of innovative credit scoring techniques to improve financial inclusion of the unbanked. Given the lack of informations on immigrants creditworthiness, the use of Big Data analytics could be a useful tool, because it makes possibile to collect and analyze the huge quantity of data produced online by the consumer. According to the author, it is questionable the compliance of social network data with the requirements of the Testo Unico Bancario: according to articles 120 undecies and 124 bis, the data used in the creditworthiness assessment should be connected with the consumer’s ability to repay the debt. The essay, moreover, stress the need for…
Datan analysointi verkkokauppojen suosittelujärjestelmissä big datan konteks-tissa
2015
Tämä tutkielma keskittyy suosittelujärjestelmien yleiseen toimintaperiaattee-seen ja niiden tarjoamiin hyötyihin. Suosittelujärjestelmien toiminta täyttää Big datalle ominaiset piirteet, mistä syystä asiaa lähestytään Big datan analysointi-na. Tarkoituksena on antaa lukijalle yleiskuva suosittelujärjestelmistä, niiden toimintaperiaatteesta ja käyttötarkoituksesta. Tutkielmassa käsitellään suositte-lujärjestelmistä yhteisöllistä, yhteistoimintapohjaista, demografista ja tietä-myspohjaista suodatusta sekä hybridejä variaatioita. Lisäksi kerrotaan suositte-lujärjestelmien tarjoamista hyödyistä nimenomaan palveluntarjoajan näkökul-masta. Tutkielma on toteutettu kirjallisuuskatsauksena. Lähdeain…
Using AI to personalise emotionally appealing advertisement
2019
Personal data and information collected online by companies can be used to design and personalise advisements. This chapter extends existing research into the online behavioural advertising by proposing a model that incorporates artificial intelligence and machine learning into developing emotionally appealing advertisements. It is proposed that big data and consumer analytics collected through AI from different sources will be aggregated to have a better understanding of consumers as individuals. Personalised emotionally appealing advertisements will be created with this information and shared digitally using pragmatic advertising strategies. Theoretically, this chapter contributes towards…
Working the fields of big data : Using big-data-augmented online ethnography to study candidate–candidate interaction at election time
2017
The paper proposes big-data-augmented ethnography as a novel mixed-methods approach to studying political discussions in a hybrid media system. Using such empirical setup, the authors examined candidate–candidate online interaction during election campaigning. Candidate–candidate interaction crossing party boundaries is scarce and occurs in the form of negative campaigning via social media, with the shaming of rival candidates and engaging in battles with them. The authors posit that ethnographic observations can be used to contextualize the computational analysis of large data sets, while computational analysis can be applied to validate and generalize the findings made through ethnography…
‘Interesting but scary’ : Customers' perceived value of MyData
2022
Digitalisation has facilitated saving data in various warehouses. While Big Data is a new form of capital that is often considered an asset for organisations, the potential value of data to customers has seldom been addressed. This chapter discusses MyData (personified and personalised data) and aims to increase our understanding of its benefits and the value created when customers use their own data. The empirical data for this paper were collected from customers of a large retail organisation that adopted the practice of sharing data with customers. This study has found that value accruing from customer’s shopping data is multifaceted and can be either positive (creating value) or negativ…
Structural Equation Modeling in Research on Brand Capital in Higher Education
2016
This research is done in order to examine the role of the brand capital in higher education. For this purpose, we analyze the main contributions of the literature related to the study of the brand capital and its application in the educational sector, identifying which variables determine the brand capital in the higher education sector. Once we establish the susceptible brand capital in the higher education sector, an empirical research is done by using a questionnaire developed in Spanish language with a Likert scale of grade 5 in which 1 point means "strongly disagree" and 5 mean "strongly agree", being based on the measurement scales…
Learn to Cache: Machine Learning for Network Edge Caching in the Big Data Era
2018
The unprecedented growth of wireless data traffic not only challenges the design and evolution of the wireless network architecture, but also brings about profound opportunities to drive and improve future networks. Meanwhile, the evolution of communications and computing technologies can make the network edge, such as BSs or UEs, become intelligent and rich in terms of computing and communications capabilities, which intuitively enables big data analytics at the network edge. In this article, we propose to explore big data analytics to advance edge caching capability, which is considered as a promising approach to improve network efficiency and alleviate the high demand for the radio resou…