Critical analysis of Big Data challenges and analytical methods
Reads0
Chats0
TLDR
In this article, the authors present a state-of-the-art review that presents a holistic view of the BD challenges and BDA methods theorized/proposed/employed by organizations to help others understand this landscape with the objective of making robust investment decisions.About:
This article is published in Journal of Business Research.The article was published on 2017-01-01 and is currently open access. It has received 1267 citations till now. The article focuses on the topics: Analytics & Big data.read more
Citations
More filters
Journal ArticleDOI
Big Data in Healthcare Research: A survey study
TL;DR: In this paper, the authors present a literature review that provides in-depth analytical insight into big data in health care and identify the key issues that need to be addressed in big data applications.
Journal ArticleDOI
Understanding the influential and mediating role of cultural enablers of AI integration to supply chain
TL;DR: Artificial Intelligence (AI) has been claimed to offer transformational power across industries and sectors as mentioned in this paper. But, research has largely focused on the technical characteristics of AI and its inf...
Journal ArticleDOI
Empirical investigation of participation on crowdsourcing platforms: A gamified approach
TL;DR: It is confirmed that motivation is also positively moderated by the quality of information that the crowdsourcing platform shares with the participants, which helps in extending the theoretical arguments of MAP and self-determination theory.
Journal ArticleDOI
Exploring the sustainability challenges facing digitalization and internet data centers
TL;DR: In this article , the authors examined the environmental footprint of global data storage utilizing extensive datasets from the latest global electricity generation mix to provide a broad perspective of carbon, water, and land footprints due to worldwide data storage to through some light on the real impact of data centers globally.
Journal ArticleDOI
Applications of Smart Technologies in Construction Project Management
TL;DR: In this article , the authors investigated the applications of smart technologies on project time, cost, and quality management and identified the top influential applications; and identified whether the organizations' profiles influence project managers' perceptions of smart technology.
References
More filters
Posted Content
Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review
TL;DR: The extent to which the process of systematic review can be applied to the management field in order to produce a reliable knowledge stock and enhanced practice by developing context-sensitive research is evaluated.
Journal ArticleDOI
Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review
TL;DR: In this article, the authors evaluate the process of systematic review used in the medical sciences to produce a reliable knowledge stock and enhanced practice by developing context-sensitive research and highlight the challenges in developing an appropriate methodology.
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 ArticleDOI
Critical questions for big data
danah boyd,Kate Crawford +1 more
TL;DR: The era of Big Data has begun as discussed by the authors, where diverse groups argue about the potential benefits and costs of analyzing genetic sequences, social media interactions, health records, phone logs, government records, and other digital traces left by people.
Journal ArticleDOI
Beyond the hype
Amir H. Gandomi,Murtaza Haider +1 more
TL;DR: The need to develop appropriate and efficient analytical methods to leverage massive volumes of heterogeneous data in unstructured text, audio, and video formats is highlighted and the need to devise new tools for predictive analytics for structured big data is reinforced.