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Neuromanagement decision-making and cognitive algorithmic processes in the technological adoption of mobile commerce apps

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References

2020Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal826 cited
2019Determining factors in the adoption and recommendation of mobile wallet services in India: Analysis of the effect of innovativeness, stress to use and social influence599 cited
2020An innovation resistance theory perspective on mobile payment solutions487 cited
2018Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology467 cited
2020Consumers’ Resistance to Digital Innovations: A Systematic Review and Framework Development353 cited
2020Consumers response towards mobile commerce applications: S-O-R approach351 cited
2018The information quality and source credibility matter in customers’ evaluation toward food O2O commerce322 cited
2020Would you like to shop via mobile app technology? The technology acceptance model, social factors and purchase intention310 cited
2020A change of perceived innovativeness for contactless food delivery services using drones after the outbreak of COVID-19276 cited
2018Exploring consumers perceived risk and trust for mobile shopping: A theoretical framework and empirical study270 cited
2021Customer Experience in Fintech257 cited
2019Examining consumer attitudes towards retailers' m-commerce mobile applications – An initial adoption vs. continuous use perspective250 cited

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2018

Examining the role of anxiety and social influence in multi-benefits of mobile payment service

245 cited

2020Positive and negative word of mouth (WOM) are not necessarily opposites: A reappraisal using the dual factor theory219 cited

2020Switching from cash to mobile payment: what's the hold-up?201 cited

2018Social influence in technology adoption: taking stock and moving forward184 cited

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