Journal ArticleDOI
Big Data Analytics: A Field of Opportunities for Information Systems and Technology Researchers
Reads0
Chats0
TLDR
In this article, some of the critical aspects of the big data problem are discussed, and their importance as well as relevance to information systems research is shown.Abstract:
In recent years, the information systems research community has been experiencing an exciting time discovering and coming to grips with many unexplored or untapped opportunities for research that lie at the intersection of the disciplines of information systems and technology, big data, analytics, and data science. In this article, some of the critical aspects of the big data problem are discussed, and their importance as well as relevance to information systems research is shown. Also proposed are a number of research problems in this area that interested information systems scholars can address to delve more deeply into the field as well as to generate further active interest of the subject within the information systems community.read more
Citations
More filters
Journal ArticleDOI
Big data technology: developments in current research and emerging landscape
TL;DR: Citation and co-citation analysis reveals that there is cross-functional nature of big data research, which permeates different business sectors and is influenced by themes in engineering and information management.
Journal ArticleDOI
Data science and its relationship to library and information science: a content analysis
TL;DR: Content analysis of research publications on data science was made of papers published in the Web of Science database to identify the main themes discussed in the publications from the library and information science (LIS) perspective.
Journal ArticleDOI
Organizational and human factors related challenges to ISO 20000: Implications for environmental sustainability and circular economy
TL;DR: In this article, the authors explore organizational and human factor-related challenges to information technology (IT) service management standard ISO 20000 in an emerging economy context and propose some implications of the challenges to implementing environmental sustainability and circular economy.
Analyzing Small Businesses' Adoption of Big Data Security Analytics
TL;DR: Analyzing Small Businesses’ Adoption of Big Data Security Analytics by Henry Mathias MCA, Anna University, 1995 BSc, Bharathidasan University, 1992 Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Management Walden University May 2019 Abstract Despite the increased cost of data breaches due to advanced, persistent threats from malicious sources, the adoption of big data security analytics among U.S. small businesses has been slow.
Journal ArticleDOI
Strategic Investment Decisions for Emerging Technology Fields in the Health Care Sector Based on M&A Analysis
TL;DR: In this paper, a decision support system integrating M&A activity information for strategic investment planning and identifying promising technologies in the Healthcare sector to manage the irregularities of market trend and investment outcome is presented.
References
More filters
Book
Big data: The next frontier for innovation, competition, and productivity
TL;DR: The amount of data in the authors' world has been exploding, and analyzing large data sets will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus, according to research by MGI and McKinsey.
Journal ArticleDOI
Business intelligence and analytics: from big data to big impact
TL;DR: This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifies the evolution, applications, and emerging research areas of BI&A, and introduces and characterized the six articles that comprise this special issue in terms of the proposed BI &A research framework.
Journal Article
Big data: the management revolution.
Andrew McAfee,Erik Brynjolfsson +1 more
TL;DR: Big data, the authors write, is far more powerful than the analytics of the past, and executives can measure and therefore manage more precisely than ever before, and make better predictions and smarter decisions.
Journal ArticleDOI
Big Data: New Tricks for Econometrics
TL;DR: A few tools for manipulating and analyzing big data such as decision trees, support vector machines, neural nets, deep learning, and so on may allow for more effective ways to model complex relationships.
Journal ArticleDOI
Big Data Research in Information Systems: Toward an Inclusive Research Agenda
TL;DR: A first step toward an inclusive big data research agenda for IS is offered by focusing on the interplay between big data’s characteristics, the information value chain encompassing people-process-technology, and the three dominant IS research traditions (behavioral, design, and economics of IS).