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
Privacy Preserving with Modified Grey Wolf Optimization Over Big Data Using Optimal K Anonymization Approach
TL;DR: An optimal approach to anonymization using small data is proposed in this study and it is shown that the suggested method will always finish ahead of the existing method by using the least amount of time while ensuring the greatest level of security.
Journal ArticleDOI
Customer experience management in the age of big data analytics: A strategic framework
Maria Holmlund,Yves Van Vaerenbergh,Robert Ciuchita,Annika Ravald,Panagiotis Sarantopoulos,Francisco Villarroel Ordenes,Mohamed Zaki +6 more
TL;DR: In this paper, a strategic framework for customer experience management (CXM) based on big data analytics (BDA) has been developed to provide an overview of opportunities to use BDA for CXM and to guide management practice and future research.
Journal ArticleDOI
A framework for big data analytics in commercial social networks: A case study on sentiment analysis and fake review detection for marketing decision-making
TL;DR: This work proposes a framework to automatically analyse these reviews, transforming negative and positive user opinions in a quantitative score, and ranks the best products by price alongside their respective sentiment value and the 5-Star score.
Journal ArticleDOI
Digital transformation: harnessing digital technologies for the next generation of services
TL;DR: In this paper, the authors discuss the challenges and opportunities of digital transformation at a strategic level, as well as understanding and enhancing the customer experience and seeing how new data-driven business models can underpin service transformation.
Journal ArticleDOI
Analytics-based decision-making for service systems: A qualitative study and agenda for future research
TL;DR: The proposed six-step analytics-driven decision-making process, practical evidence from service systems, and future research agenda, provide altogether the foundation for future scholarly research and can serve as a step-wise guide for industry practitioners.
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.