Neuromarketing in Customer Behaviour—Customers’ Diencephalic and Mid-Brain Implications in Purchase Dynamics

2018 ◽  
pp. 11-29 ◽  
Author(s):  
Lino Barbasso ◽  
Giuseppe Tardivo ◽  
Milena Viassone ◽  
Francesca Serravalle
Keyword(s):  
Customer Behaviour

Anthropological insights into customer behaviour

1971 ◽  
Vol 5 (2) ◽  
pp. 45-57 ◽  
Author(s):  
David Elliston Allen
Keyword(s):  
Customer Behaviour

The Impact of Rapport on Customer behaviour: Focusing on moderating effects of Familiarity and Involvement

2021 ◽  
Vol 18 (1) ◽  
pp. 69-98
Author(s):  
Cheng Jun Quan ◽  
Gi Du Kang ◽  
Eun Seo Jang ◽  
Hu Nan Piao
Keyword(s):  
Moderating Effects ◽  
Customer Behaviour ◽  
The Impact

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KUALITAS PELAYANAN PERUSAHAAN DAN PENGARUH TINGKAT KEPUASAN TERHAOAP PERILAKU PELANGGAN

2016 ◽  
Vol 7 (1) ◽  
pp. 16
Author(s):  
Purnomolastu Purnomolastu
Keyword(s):  
Customer Satisfaction ◽  
Work Performance ◽  
Educational Institution ◽  
Company Performance ◽  
Chi Square ◽  
Service Company ◽  
Customer Behaviour ◽  
And Performance ◽  
Multiple Analysis

As a service company that should priorities service matter to be able to satisfy their customers, satisfaction issue could not he separated from to what extent the Company's performance was, so that food performance would render customers feel happy and would final v effect their behaviours. This research took John Robert Powers as an educational institution, in order to find out how jar the company performance will be able to affect work performance and furrther more would affect behaviour of their customers. The research applied multiple analysis regression to find out what factors that influence quality and performance  of company services, index of customer satisfaction to find out lo hat extent the customer satis/(1Cfion 1ras and analysis of chi square to find out the strength of customer effects on customer behaviour

scholarly journals Prediction of customer behaviour through datamining assets

2009 ◽  
Vol 57 (3) ◽  
pp. 43-54
Author(s):  
Naděžda Chalupová
Keyword(s):  
Neural Network ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Marketing Strategies ◽  
Customer Relationship ◽  
Business Managers ◽  
Correct Decision ◽  
Commercial Success ◽  
Customer Behaviour ◽  
Managerial Decisions

Business managers accounting for commercial success or non-success of the organization have to gain knowledge needful for correct decision acceptance. These knowledge represent sophisticated information hidden in enterprise data. One possibility, how to extract mentioned knowledge from data, is to use so-called datamining assets.The paper deals with an application of chosen basic methods of knowledge discovering in da­ta­ba­ses for area of customer-provider relation and it presents, how to avail acquired knowledge as basis of managerial decisions leading to improving of customer relationship management. It solves prediction, whose aim is, on the basis of some attributes of exploring objects, to predict future be­ha­viour of objects with these attributes. This way acquired knowledge, as the output of prediction, then can markedly help competent enterprise manager with planning of marketing strategies, for example so-called cross-selling and up-selling. The contribution describes a whole operation of available data processing: from its purifying, over its preparation for mining task, to self processing by the help of SAS Enterprise Miner tool. Regression analysis, neural network and decision tree, whose principles are briefly explained in this paper too, were used for knowledge mining. The estimation of customer behaviour was tested by two mining task varying in attribute using and in categories number of one of predicive attributes. The results of these two tasks are confronted by the help of prediction fruitfulness charts.

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