| 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 | 537 | 2014 |
| 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 | 284 | 2018 |
| 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 | 48 | 2017 |
| 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 | 31 | 2014 |
| 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 | 22 | 2015 |
| 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 | 11 | 2014 |
| 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 | 6 | 2017 |
| 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 | 6 | 2014 |
| 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 | 5 | 2019 |
| 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 | 5 | 2016 |
| Business and Consumer Analytics: New Ideas P Moscato, NJ de Vries https://www.springer.com/gp/book/9783030062217, 2019 | 4 | 2019 |
| Marketing meets data science: Bridging the gap P Moscato, NJ de Vries Business and consumer analytics: New ideas, 3-117, 2019 | 4 | 2019 |
| 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 | 4 | 2019 |
| 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 | 4 | 2014 |
| 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 | 2 | 2019 |
| Consumer behaviour and marketing fundamentals for business data analytics NJ de Vries, P Moscato Business and Consumer Analytics: New Ideas, 119-162, 2019 | 2 | 2019 |
| World’s Best Universities and Personalized Rankings M Inostroza-Ponta, de Vries. Natalie J, P Moscato Handbook of Heuristics, 2017 | 1 | 2017 |
| 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 |
Jamie CarlsonProfessor in Marketing, University of NewcastleVerified email at newcastle.edu.au
