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Natalie Jane de Vries
Natalie Jane de Vries
Adjunct Associate Lecturer, University of Newcastle, Australia
E-mail confirmado em newcastle.edu.au
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Citado por
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Examining the drivers and brand performance implications of customer engagement with brands in the social media environment
NJ De Vries, J Carlson
Journal of Brand Management 21, 495-515, 2014
6662014
Customer engagement behaviours in social media: capturing innovation opportunities
J Carlson, M Rahman, R Voola, N De Vries
Journal of Services Marketing 32 (1), 83-94, 2018
4312018
Go with the flow: Engineering flow experiences for customer engagement value creation in branded social media environments
J Carlson, NJ de Vries, MM Rahman, A Taylor
Journal of Brand Management 24, 334-348, 2017
642017
A data-driven approach to reverse engineering customer engagement models: Towards functional constructs
NJ de Vries, J Carlson, P Moscato
PloS one 9 (7), e102768, 2014
312014
Clustering Consumers Based on Trust, Confidence and Giving Behaviour: Data-Driven Model Building for Charitable Involvement in the Australian Not-For-Profit Sector
NJ de Vries, R Reis, P Moscato
PLOS ONE, DOI: 10.1371/journal.pone.0122133, 2015
252015
Business and Consumer Analytics: New Ideas
P Moscato, NJ de Vries
https://www.springer.com/gp/book/9783030062217, 2019
112019
Identifying Communities of Trust and Confidence in the Charity and Not-for-Profit Sector: A Memetic Algorithm Approach
LM Naeni, NJ de Vries, R Reis, AS Arefin, R Berretta, P Moscato
Big Data and Cloud Computing (BdCloud), 2014 IEEE Fourth International …, 2014
112014
Where Does My Brand End? An Overlapping Community Approach
AC Gabardo, R Berretta, NJ de Vries, P Moscato
Intelligent and Evolutionary Systems: The 20th Asia Pacific Symposium, IES …, 2017
72017
Introducing clustering with a focus in marketing and consumer analysis
NJ de Vries, ŁP Olech, P Moscato
Business and consumer analytics: new ideas, 165-212, 2019
62019
Engagement in Motion: Exploring Short Term Dynamics in Page-Level Social Media Metrics
B Lucas, AS Arefin, NJ de Vries, R Berretta, J Carlson, P Moscato
Big Data and Cloud Computing (BdCloud), 2014 IEEE Fourth International …, 2014
62014
Gauging Heterogeneity in Online Consumer Behaviour Data: A Proximity Graph Approach
NJ de Vries, AS Arefin, P Moscato
2014 IEEE Fourth International Conference on Big Data and Cloud Computing …, 2014
62014
Relative neighborhood graphs uncover the dynamics of social media engagement
NJ de Vries, AS Arefin, L Mathieson, B Lucas, P Moscato
Advanced Data Mining and Applications: 12th International Conference, ADMA …, 2016
52016
A multi-objective meta-analytic method for customer churn prediction
MN Haque, NJ de Vries, P Moscato
Business and Consumer Analytics: New Ideas, 781-813, 2019
42019
Consumer behaviour and marketing fundamentals for business data analytics
NJ de Vries, P Moscato
Business and consumer analytics: New ideas, 119-162, 2019
42019
Marketing meets data science: Bridging the gap
P Moscato, NJ de Vries
Business and consumer analytics: New ideas, 3-117, 2019
42019
Using network alignment to identify conserved consumer behaviour modelling constructs
L Mathieson, NJ de Vries, P Moscato
Business and consumer analytics: new ideas, 513-541, 2019
42019
Visualizing Products and Consumers: A Gestalt Theory Inspired Method
CS Lobos, NJ de Vries, M Inostroza-Ponta, R Berretta, P Moscato
Business and Consumer Analytics: New Ideas, 661-689, 2019
12019
World’s Best Universities and Personalized Rankings
M Inostroza-Ponta, de Vries. Natalie J, P Moscato
Handbook of Heuristics, 2017
12017
Datasets for Business and Consumer Analytics
NJ de Vries, P Moscato
Business and Consumer Analytics: New Ideas, 965-987, 2019
2019
Clustering Consumers and Cluster-Specific Behavioural Models
NJ de Vries, J Carlson, P Moscato
Business and Consumer Analytics: New Ideas, 235-267, 2019
2019
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