[HTML][HTML] From user-generated data to data-driven innovation: A research agenda to understand user privacy in digital markets
JR Saura, D Ribeiro-Soriano… - International Journal of …, 2021 - Elsevier
In recent years, strategies focused on data-driven innovation (DDI) have led to the
emergence and development of new products and business models in the digital market …
emergence and development of new products and business models in the digital market …
[HTML][HTML] Social data: Biases, methodological pitfalls, and ethical boundaries
Social data in digital form—including user-generated content, expressed or implicit relations
between people, and behavioral traces—are at the core of popular applications and …
between people, and behavioral traces—are at the core of popular applications and …
Election campaigning on social media: Politicians, audiences, and the mediation of political communication on Facebook and Twitter
Although considerable research has concentrated on online campaigning, it is still unclear
how politicians use different social media platforms in political communication. Focusing on …
how politicians use different social media platforms in political communication. Focusing on …
The emergence of social media data and sentiment analysis in election prediction
This work presents and assesses the power of various volumetric, sentiment, and social
network approaches to predict crucial decisions from online social media platforms. The …
network approaches to predict crucial decisions from online social media platforms. The …
[HTML][HTML] Price movement prediction of cryptocurrencies using sentiment analysis and machine learning
F Valencia, A Gómez-Espinosa, B Valdés-Aguirre - entropy, 2019 - mdpi.com
Cryptocurrencies are becoming increasingly relevant in the financial world and can be
considered as an emerging market. The low barrier of entry and high data availability of the …
considered as an emerging market. The low barrier of entry and high data availability of the …
Retail forecasting: Research and practice
This paper reviews the research literature on forecasting retail demand. We begin by
introducing the forecasting problems that retailers face, from the strategic to the operational …
introducing the forecasting problems that retailers face, from the strategic to the operational …
[HTML][HTML] Big Data sources and methods for social and economic analyses
D Blazquez, J Domenech - Technological Forecasting and Social Change, 2018 - Elsevier
Abstract The Data Big Bang that the development of the ICTs has raised is providing us with
a stream of fresh and digitized data related to how people, companies and other …
a stream of fresh and digitized data related to how people, companies and other …
Tourism demand forecasting using tourist-generated online review data
This study aims to forecast international tourist arrivals to Hong Kong from seven English-
speaking countries. A new direction in tourism demand modeling and forecasting is …
speaking countries. A new direction in tourism demand modeling and forecasting is …
Facebook advertising's influence on intention-to-purchase and purchase amongst Millennials
RG Duffett - Internet research, 2015 - emerald.com
Purpose The purpose of this paper is to investigate the influence of behavioural attitudes
towards the most popular social medium in the world, Facebook, amongst Millennials in …
towards the most popular social medium in the world, Facebook, amongst Millennials in …
[HTML][HTML] The impact of sentiment and attention measures on stock market volatility
We analyze the impact of sentiment and attention variables on the stock market volatility by
using a novel and extensive dataset that combines social media, news articles, information …
using a novel and extensive dataset that combines social media, news articles, information …