A structured literature review on Big Data for customer relationship management (CRM): toward a future agenda in international marketing

P Del Vecchio, G Mele, E Siachou… - International Marketing …, 2021 - emerald.com
Purpose This paper aims to advance the international marketing debate by presenting the
results of a structured literature review (SLR) focusing on Big Data implementation in …

Promoting a revamped CRM through Internet of Things and Big Data: an AHP-based evaluation

M Abu Ghazaleh, AM Zabadi - International journal of organizational …, 2020 - emerald.com
Purpose Internet of things (IoT) and big data (BD) could change how the societies function.
This paper explores the role of IoT and BD and their impact on customer relationship …

Deleuze's postscript on the societies of control: Updated for big data and predictive analytics

J Brusseau - Theoria, 2020 - berghahnjournals.com
Abstract In 1990, Gilles Deleuze published Postscript on the Societies of Control, an
introduction to the potentially suffocating reality of the nascent control society. This thirty-year …

Log-based session profiling and online behavioral prediction in E–Commerce websites

J Fabra, P Álvarez, J Ezpeleta - IEEE Access, 2020 - ieeexplore.ieee.org
Improvements to customer experience give companies a competitive advantage, as
understanding customers' behaviors allows e-commerce companies to enhance their …

[PDF][PDF] Digital marketing produk pertanian, peternakan dan perikanan

KMZ Basriwijaya, H Hasanah, E Nurhidayati… - 2024 - penarepository.com
E-Marketing, Manajemen Digital Marketing, Pemasaran Digital Produk Dalam Bidang
Pertanian, dan Pemasaran Digital Produk dalam Bidang Peternakan,. Kami menyadari …

Analysis Of Segmenting, Targeting And Positioning Strategies On Consumer Purchase Decisions In The Digital Era

M Berlian - International Journal of Economics, Business and …, 2022 - jurnal.stie-aas.ac.id
This study aims to test and analyze segmenting, targeting and positioning strategies for
consumer purchasing decisions in the digital era. This type of research is quantitative …

[PDF][PDF] Customer profiling for Malaysia online retail industry using K-Means clustering and RM model

TC Kit, N Firdaus, M Azmi - International Journal of …, 2021 - pdfs.semanticscholar.org
Malaysia's online retail industry is growing sophisticated for the past years and is not
expected to stop growing in the following years. Meanwhile, customers are becoming …

[PDF][PDF] Exploring The Profile of Tourist Guides in South Africa

MG Kapa, EP de Crom, UP Hermann - African Journal of Hospitality …, 2022 - ajhtl.com
South Africa has much to offer in terms of tourism attractions and destinations. The tourism
industry strives to meet the requirements of various forms of tourism by providing facilities …

[PDF][PDF] A framework of unsupervised machine learning algorithms for user profiling

E Kuiper, E Constantinides, SA de Vries… - 48th Annual …, 2019 - researchgate.net
Organizations often have difficulties to extract knowledge from data and selecting
appropriate Machine Learning algorithms in order to develop accurate Behavioural Profiles …

LRFMP model and K-means clustering for customer profiling in online retail market

NFM Azmi, HM Sarkan, NNA Sjarif, Y Yahya… - AIP Conference …, 2024 - pubs.aip.org
Customer profiling is one of the important aspects for retailers or service providers used in
analyzing consumer characteristics and needs. To build a customer profile, various …