Handbook of Advances in Marketing in an Era of Disruptions: Essays in Honour of Jagdish N. Sheth 2019
DOI: 10.4135/9789353287733.n31
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Influence of Technology and Data on Customized Marketing Strategy

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Cited by 6 publications
(6 citation statements)
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“…. AI is a branch of computer science dealing with the simulation of intelligent behavior in computers, and the term AI was first stated in 1955 by a math professor John McCarthy (Kumar and Ramachandran, 2018;Rajaraman, 2014). Thus, the adoption of this technology allows firms to apply machines to mimic intelligent human behaviour; this approach is also explicit in performing "cognitive" functions that are associated with the human mind, including problem-solving and learning and prediction (Syam and Sharma, 2018).…”
Section: Moderating Effect Of Adoption Of Artificial Intelligence (Aai)mentioning
confidence: 99%
“…. AI is a branch of computer science dealing with the simulation of intelligent behavior in computers, and the term AI was first stated in 1955 by a math professor John McCarthy (Kumar and Ramachandran, 2018;Rajaraman, 2014). Thus, the adoption of this technology allows firms to apply machines to mimic intelligent human behaviour; this approach is also explicit in performing "cognitive" functions that are associated with the human mind, including problem-solving and learning and prediction (Syam and Sharma, 2018).…”
Section: Moderating Effect Of Adoption Of Artificial Intelligence (Aai)mentioning
confidence: 99%
“…Superior analytical methods, which have an ability to learn from past data (including unstructured data), are relevant for marketing when they lead to enhanced intelligence for business practice. Whereas firms traditionally used technology to integrate and analyze data to achieve specific marketing objectives and firm outcomes, recent changes indicate a more central role of technology among firms (Brady, Saren, & Tzokas, 2002;Kumar & Ramachandran, 2019a). Specifically, recent technological advancements such as IoT, big data, AI, and ML have rendered technology and consumer-level data inseparable.…”
Section: Ability To Learn From Past Datamentioning
confidence: 99%
“…Owing to abundantly available customer data and lowering data storage costs, firms use technology extensively. With the newly emergent focus on cause-related LPs, we can expect the extensive use of technology to continue, as seen with the use of new-age technologies like artificial intelligence, Internet of things, machine learning and blockchain (Kumar and Ramachandran, 2019). Further, we also expect technology usage to be varied in a cause-related LP.…”
Section: A New Dominant Logic For Loyalty Programsmentioning
confidence: 99%
“…changing consumer preferences creating a pull on firms to address the needs) and the push factors (i.e. firms pushing their offerings to satisfy identified and potential future consumer needs) propelling the market (Kumar and Ramachandran, 2019). In response to the push–pull interplay, customer-centric firms balance their reactive and proactive approaches in business operations.…”
Section: Global Implicationsmentioning
confidence: 99%