Natalie Jane de Vries
Natalie Jane de Vries
Conjoint Research Fellow, University of Newcastle, Australia
Verified email at newcastle.edu.au
Title
Cited by
Cited by
Year
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 (6), 495-515, 2014
3492014
Customer engagement behaviours in social media: capturing innovation opportunities
J Carlson, M Rahman, R Voola, N De Vries
Journal of Services Marketing, 2018
1442018
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
272014
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 (4), 334-348, 2017
222017
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
132015
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
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
Where Does My Brand End? An Overlapping Community Approach
AC Gabardo, R Berretta, NJ de Vries, P Moscato
Intelligent and Evolutionary Systems, 133-148, 2017
52017
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
52014
Business and Consumer Analytics: New Ideas
P Moscato, NJ de Vries
https://www.springer.com/gp/book/9783030062217, 2019
32019
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
22019
Relative Neighborhood Graphs Uncover the Dynamics of Social Media Engagement
NJ de Vries, AS Arefin, L Mathieson, B Lucas, P Moscato
International Conference on Advanced Data Mining and Applications, 283-297, 2016
22016
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
12019
Consumer Behaviour and Marketing Fundamentals for Business Data Analytics
NJ de Vries, P Moscato
Business and Consumer Analytics: New Ideas, 119-162, 2019
12019
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
12019
Marketing Meets Data Science: Bridging the Gap
P Moscato, NJ de Vries
Business and Consumer Analytics: New Ideas, 3-117, 2019
12019
Datasets for Business and Consumer Analytics
NJ de Vries, P Moscato
Business and Consumer Analytics: New Ideas, 965-987, 2019
2019
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
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
World’s Best Universities and Personalized Rankings
M Inostroza-Ponta, de Vries. Natalie J, P Moscato
Handbook of Heuristics, 2017
2017
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