2021
DOI: 10.1016/j.techfore.2021.120986
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Big data and firm marketing performance: Findings from knowledge-based view

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Cited by 107 publications
(64 citation statements)
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References 56 publications
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“…Big Data marketing is related to database marketing, which involves collecting, aggregating, and commercializing personal data and information. The increased popularity of social networking platforms such as Facebook, Twitter, and Instagram, and e-commerce platforms such as Amazon and Alibaba, have increased avenues of data collection for targeted advertisements [47]. Data companies-known as data brokers-collect, analyze, combine, and sell users' information, including personal data associated with online and offline behaviors [48].…”
Section: Big Data Analytics and Customer Profilingmentioning
confidence: 99%
See 1 more Smart Citation
“…Big Data marketing is related to database marketing, which involves collecting, aggregating, and commercializing personal data and information. The increased popularity of social networking platforms such as Facebook, Twitter, and Instagram, and e-commerce platforms such as Amazon and Alibaba, have increased avenues of data collection for targeted advertisements [47]. Data companies-known as data brokers-collect, analyze, combine, and sell users' information, including personal data associated with online and offline behaviors [48].…”
Section: Big Data Analytics and Customer Profilingmentioning
confidence: 99%
“…Thus, it leverages Big Data to increase brand awareness and boost customer acquisition. Big Data analytics provides marketers with a 360-degree view of customer behaviors and patterns, enabling them to design and implement customer-specific content to enhance online and in-store brand recognition and recall [47]. Besides this, Big Data allows marketers to leverage the cloud to gather and analyze consistent and personalized data from multiple sources, including mobile applications, emails, and the web [51].…”
Section: Big Data Analytics and Customer Profilingmentioning
confidence: 99%
“…One group (red colour) comprises authors located in Australia [28,29] dealing with the use of immersive technologies (e.g., VR) for destination experiences, in situations of over-tourism leading to deterioration of the sites. Another group (in green), aggregates researchers from different countries, such as USA, France, or England, [30][31][32][33], and deals with AI for sustainable purposes at a firm level but considering different external stakeholders. The blue group also examines AI and other related technologies, for sustainable issues (e.g., France, England, Australia, Malaysia), but more focused in internal stakeholders [34,35].…”
Section: Cooperative Network Of Authors Countries Of Affiliation and Documentsmentioning
confidence: 99%
“…Furthermore, based on the most recent contributions from scholars more dedicated to the benefits of technology for overall business sustainability [33,57], we can expect future advancements on demonstrating transversal organisational gains, such as cost reduction and augmented decision-making capabilities provided by big data analytics. The potential benefits arising from co-creation opportunities, AI and machine learning are suggested [60,61], which may disrupt the competitive landscape for food industry and hospitality, per example, by enabling players with proactive flexibility for more robust marketing applications and supply chain competitive advantages, because of demand forecasts driven by big data and more interactive relationships with customers.…”
Section: Review Of Theories Framework and Literature On The Role Of New Technologies And Accelerating The Innovation Roadmapmentioning
confidence: 99%
“…Database marketing, which involves collecting, aggregating, and selling personal data and information, is linked to big data marketing. The popularity of e-commerce sites such as Amazon and Alibaba and social networking sites such as Facebook, Twitter, and Instagram, have increased data collection opportunities for targeted advertising (Gupta et al, 2021). Companies that collect, analyze, integrate and sell user information, including personal information related to online and offline actions, are known as data intermediaries (Matthyssens, 2019).…”
Section: Big Data Analysis and Customer Profilingmentioning
confidence: 99%