2015
DOI: 10.1016/j.omega.2015.02.007
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User reward programs in online social media

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Cited by 5 publications
(3 citation statements)
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“…Customers' negative sentiments on social media provide a reference for decision-makers to determine the timing of product recall (Zavala and Ramirez-Marquez, 2019). Other scholars have used game theoretic methods to investigate the use of customer referral incentives, user reward programs and employees' blogging behavior in social media (Huang et al, 2015;Lobel et al, 2016;Mirzaei et al, 2015). Last, scholars have adopted content analysis and coding analytics to manipulate the unstructured data generated from social media (Chan et al, 2016;Lee et al, 2018).…”
Section: Theoretical Background and Hypothesis Development 21 Social Media Usage In Operationsmentioning
confidence: 99%
“…Customers' negative sentiments on social media provide a reference for decision-makers to determine the timing of product recall (Zavala and Ramirez-Marquez, 2019). Other scholars have used game theoretic methods to investigate the use of customer referral incentives, user reward programs and employees' blogging behavior in social media (Huang et al, 2015;Lobel et al, 2016;Mirzaei et al, 2015). Last, scholars have adopted content analysis and coding analytics to manipulate the unstructured data generated from social media (Chan et al, 2016;Lee et al, 2018).…”
Section: Theoretical Background and Hypothesis Development 21 Social Media Usage In Operationsmentioning
confidence: 99%
“…Leduc et al (2017) use dynamic games to study the seller's optimal pricing and referral rewards when introducing new products or technologies. Mirzaei et al (2015) propose a pre-asymmetric duopoly online social media game to study whether a revenuesharing plan should be developed to reward its contributing users. The above research mainly uses game theory for modeling analysis.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Mirzaei et al. (2015) propose a pre‐asymmetric duopoly online social media game to study whether a revenue‐sharing plan should be developed to reward its contributing users. The above research mainly uses game theory for modeling analysis.…”
Section: Literature Reviewmentioning
confidence: 99%