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2019
DOI: 10.1108/ijrdm-07-2018-0127
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Making sense of consumers’ tweets

Abstract: Purpose Consumers online interactions, posts, rating and ranking, reviews of products/attractions/restaurants and so on lead to a massive amount of data that marketers might access to improve the decision-making process, by impacting the competitive and marketing intelligence. The purpose of this paper is to develop understanding of consumers online-generated contents in terms of positive or negative comments to increase marketing intelligence. Design/methodology/approach The research focuses on the collecti… Show more

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Cited by 55 publications
(17 citation statements)
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References 45 publications
(128 reference statements)
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“…Use of artificial intelligence. This technological solution help into turn large and diverse datasets into enriched information that can be used by companies to improve the entire supply chain, starting from design to manufacturing, sales, and advertising [19,20]. Artificial intelligence is largely used to understand consumers' preferences.…”
Section: Introductionmentioning
confidence: 99%
“…Use of artificial intelligence. This technological solution help into turn large and diverse datasets into enriched information that can be used by companies to improve the entire supply chain, starting from design to manufacturing, sales, and advertising [19,20]. Artificial intelligence is largely used to understand consumers' preferences.…”
Section: Introductionmentioning
confidence: 99%
“…Hence the need to replicate and expand similar studies to the same sector but in other countries. Perhaps, if companies for e-credit can benefit from rapid access to consumers' insights, such as in the approach proposed by [25] for marketing intelligent, consumers and companies of e-credit would be aware of the consequences for social conscious consumption. Even more, both could be aware on how important the non-financial disclosure could become as a good informative framework for social conscious consumption, in order to make a useful integrated reporting for accountants, auditors and consumers [72].…”
Section: Discussion Limitations and Conclusionmentioning
confidence: 99%
“…The problem of "noise" in the disclosure manifests when managers and companies exercise discretion with respect to the disclosure of information about which they may have knowledge [24]. The noise is also generated by the massive amount of data to achieve insights able to impact on retailers' marketing intelligence [25]. For this problem it is recommendable to reduce the asymmetry of information in disclosure, because information disclosure is an essential component of regulation in financial markets, because it is an important factor for understanding the functioning of financial markets and it could affect market quality and could affect efficiency of real investment decisions and traders' welfare [26].…”
Section: Introductionmentioning
confidence: 99%
“…Big data evolution is supported by the growing adoption of artificial intelligence (AI) and the Internet of Things (IoT) that related to mobile devices and sensors, social media, and artifacts (Yang et al, 2019) (Lau et al, 2019). "Big data" refers broadly to the growing amount of data and the ability to use it in a useful and productive way (Pantano et al, 2019)(Editors et al, 2019. Social innovation in social entrepreneurship is based on the power of big data that they have.…”
Section: Social Entrepreneurship Definition Authorsmentioning
confidence: 99%