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
Challenges, opportunities and paradigm of applying big data to production safety management: From a theoretical perspective
Lang Huang,Chao Wu,Bing Wang +2 more
TL;DR: The research results not only can provide theoretical and practical basis for big-data-driven production safety management, but also can offer advice to managerial consideration and scholarly investigation.
Journal ArticleDOI
Value Migration to the Sustainable Business Models of Digital Economy Companies on the Capital Market
TL;DR: In this article, the authors present key results of research into value migration to sustainable business models of companies operating in the digital economy on the capital market, and the results obtained are ambiguous.
Journal ArticleDOI
Performance measurement tools for sustainable business: A systematic literature review on the sustainability balanced scorecard use
Journal ArticleDOI
Cloud computing utilization and mitigation of informational and marketing barriers of the SMEs from the emerging markets: Evidence from Iran and Turkey
TL;DR: The empirical findings confirm that CCU can help EM-SMEs to mitigate a series of informational and marketing barriers, and offer insights to both EM- sMEs and Cloud-Service-Providers (CSPs) on the extent to which CCU is effective in mitigating the internationalization barriers faced by EM-sMEs.
Journal ArticleDOI
Marketing challenges in the #MeToo era: gaining business insights using an exploratory sentiment analysis
TL;DR: The findings underscore the importance of gender equality in communication campaigns, gender equality at work and social mobilizations in social networks, as well as suggest that marketing advertisers should become more inclusive and respectful in their advertising and marketing campaigns.
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.