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Guest editorial: Data and business analytics

Guest editorial: Data and business analytics Guest editorial Guest editorial: Data and business analytics Introduction to the special issue on data and business analytics Recent advances and continuous innovation in information technology have drastically altered how business is conducted. This has led to the emergence of many novel business models such as social commerce, mobile commerce, FinTech, cloud computing services, sharing economy, blockchain economy, crowdfunding, crowdsourcing and so on. There is also an increased focus, in both academia and industry, on further improving business intelligence and analytics with the help of advanced computing technologies to support decision-making and enhance the competitive advantage of enterprises. This special issue on “Data and Business Analytics” highlights the need for and the importance of data and business analytics in both traditional and novel e-business models. In this special issue, we solicit high-quality papers focusing on advanced analytics techniques with their applications in e-business and various emerging business models. Only four papers from the 30 submissions received were accepted for publication based on rigorous reviews and revisions. They are briefly summarised as follows: (1) The first article, “Forecasting of stock price index using support vector regression with multivariate empirical mode decomposition” by Huang et al., aims to predict the stock http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Systems and Information Technology Emerald Publishing

Guest editorial: Data and business analytics

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
1328-7265
eISSN
1328-7265
DOI
10.1108/jsit-05-2022-265
Publisher site
See Article on Publisher Site

Abstract

Guest editorial Guest editorial: Data and business analytics Introduction to the special issue on data and business analytics Recent advances and continuous innovation in information technology have drastically altered how business is conducted. This has led to the emergence of many novel business models such as social commerce, mobile commerce, FinTech, cloud computing services, sharing economy, blockchain economy, crowdfunding, crowdsourcing and so on. There is also an increased focus, in both academia and industry, on further improving business intelligence and analytics with the help of advanced computing technologies to support decision-making and enhance the competitive advantage of enterprises. This special issue on “Data and Business Analytics” highlights the need for and the importance of data and business analytics in both traditional and novel e-business models. In this special issue, we solicit high-quality papers focusing on advanced analytics techniques with their applications in e-business and various emerging business models. Only four papers from the 30 submissions received were accepted for publication based on rigorous reviews and revisions. They are briefly summarised as follows: (1) The first article, “Forecasting of stock price index using support vector regression with multivariate empirical mode decomposition” by Huang et al., aims to predict the stock

Journal

Journal of Systems and Information Technology – Emerald Publishing

Published: Apr 11, 2022

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