Critical analysis of Big Data challenges and analytical methods
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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
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Food fraud data collection needs survey
TL;DR: This survey suggests there is a need for more definition and formality of the method and process for addressing food fraud and a focus on harmonizing terms, vulnerability assessment methods, and then of common policy/strategy will enable the risk assessors to define their future data collection requirements and needs.
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Artificial intelligence approaches and mechanisms for big data analytics: a systematic study.
Amir Masoud Rahmani,Amir Masoud Rahmani,Elham Azhir,Saqib Ali,Mokhtar Mohammadi,Omed Hassan Ahmed,Marwan Yassin Ghafour,Sarkar Hasan Ahmed,Mehdi Hosseinzadeh,Mehdi Hosseinzadeh +9 more
TL;DR: In this article, the authors present a survey of AI-driven big data analytics techniques and discuss the related parameters, comparing them in terms of scalability, efficiency, precision, and privacy.
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Addressing Algorithmic Bias in AI-Driven Customer Management
TL;DR: This study elucidates situations in which AI-enabled analytics systems make biased decisions against customers based on gender, race, religion, age, nationality, or socioeconomic status and proposes two approaches to overcome such biases in customer management.
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Big data for social benefits: Innovation as a mediator of the relationship between big data and corporate social performance
Goran Calic,Maryam Ghasemaghaei +1 more
TL;DR: In this paper, the authors explored whether firms use big data to improve social performance and found that these improvements occur through organisational innovation in business practices, workplace organization and external relations.
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Big Data, Marketing Analytics, and Firm Marketing Capabilities
TL;DR: While big data, marketing analytics, and firm marketing capabilities are all potential drivers of competitive advantage, there is limited research that investigates the interrelationship between these three sources of information as discussed by the authors.
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