How features embedded in eWOM predict hotel guest satisfaction: An application of artificial neural networks

A Aakash, A Tandon… - Journal of Hospitality …, 2021 - Taylor & Francis
ABSTRACT Electronic-word-of-mouth (eWOM) plays a crucial role not only in analyzing
customer decision-making but also in enhancing the revenue and brand image of service …

MPClan: Protocol suite for privacy-conscious computations

N Koti, S Patil, A Patra, A Suresh - Journal of Cryptology, 2023 - Springer
The growing volumes of data being collected and its analysis to provide better services are
creating worries about digital privacy. To address privacy concerns and give practical …

Forecasting buying intention through artificial neural network: an algorithmic solution on direct-to-consumer brands

B Prasad, I Ghosal - FIIB Business Review, 2022 - journals.sagepub.com
The direct-to-consumer (DTC) brands are emerging to reach more number of consumers
with more potential to meet their expectations. They are characterized through their …

[PDF][PDF] Predicting sales revenue by using artificial neural network in grocery retailing industry: a case study in Turkey

D Penpece, OE Elma - … Journal of Trade, Economics and Finance, 2014 - researchgate.net
Forecasting sales quantity and sales revenue is very vital for a company to take action for
the next period for sustainable competition. It is especially important for growing industries …

The GNG neural network in analyzing consumer behaviour patterns: empirical research on a purchasing behaviour processes realized by the elderly consumers

K Migdał-Najman, K Najman, S Badowska - Advances in Data Analysis …, 2020 - Springer
The paper sheds light on the use of a self-learning GNG neural network for identification and
exploration of the purchasing behaviour patterns. The test has been conducted on the data …

SDG's and Zero Emission Vision in Indonesia: Implementation of Green Marketing and'Green'Direct Marketing Campaign Opportunities based on Population …

T Rahmat, R Hurriyati… - International Journal of …, 2022 - journal.uinsgd.ac.id
This study was conducted in Indonesia to achieve Zero Emissions and SDG'S by increasing
public awareness as consumers of big data-based direct marketing campaign opportunities …

The effectiveness of direct marketing media regarding attitudes of different target groups of consumers in Serbia

K Perčić, N Perić - Periodica Polytechnica Social and Management …, 2021 - pp.bme.hu
The characteristics of a given target market are one of the main factors that need to be
considered when selecting media to transmit a promotional message and achieve …

Supporting Organizations in Improving Employee Bulk E-mail---A Tool Design and Evaluation Study

R Kong, R Sun, CC Zhang, Y Yuan… - Proceedings of the ACM …, 2024 - dl.acm.org
Organizations often send bulk emails to employees to make them aware of policy changes,
organization plans, and events. Many of these emails, however, are long digests with many …

Improving direct mail targeting through customer response modeling

K Coussement, P Harrigan, DF Benoit - Expert Systems with Applications, 2015 - Elsevier
Direct marketing is an important tool in the promotion mix of companies, amongst which
direct mailing is crucial. One approach to improve direct mail targeting is response …

[BOOK][B] Machine Learning and artificial intelligence in marketing and sales: Essential reference for practitioners and data scientists

N Syam, R Kaul - 2021 - emerald.com
Casdagli, M.(1989). Nonlinear prediction of chaotic time-series. Physica, 35, 335–356.
Chattopadhyay, M., Dan, PK, Majumdar, S., & Chakraborty, PS (2012). Application of …