Discovering Hidden Concepts in Predictive Models for Texts' Polarization

2015 ◽  
Vol 11 (4) ◽  
pp. 29-48 ◽  
Author(s):  
Caterina Liberati ◽  
Furio Camillo
Keyword(s):  
Customer Relationship Management ◽  
Predictive Models ◽  
Classification Accuracy ◽  
Relationship Management ◽  
Customer Relationship ◽  
Statistical Characterization ◽  
Combined Application ◽  
Marketing Actions

The growth of Internet and the information technology has generated big changes in subjects' communication, which, nowadays, occurs through social media or via thematic forums. This challenges the traditional notion of Customer Relationship Management (CRM) and pushes businesses to prompt and accurate understanding of sentiments expressed, in order to address their marketing actions. In this paper, the authors propose a combined application of a supervised Sentiment Analysis (SA) with a probabilistic kernel discriminant to provide a robust classifier of texts polarization. The partition obtained is also described by means of a statistical characterization of the texts. Such an approach is very promising, not only in terms of classification accuracy, but also in terms of knowledge extraction. A real case study is illustrated in order to test and show the effectiveness of the proposed strategy.

scholarly journals THE ANTECEDENT OF CUSTOMER SATISFACTION

2020 ◽  
Author(s):  
Andala Rama Putra Barusman ◽  
Evelin Putri Rulian ◽  
Susanto Susanto
Keyword(s):  
Customer Satisfaction ◽  
Structural Equation Model ◽  
Customer Relationship Management ◽  
Structural Equation ◽  
Hospitality Industry ◽  
Relationship Management ◽  
Customer Retention ◽  
Equation Model ◽  
Customer Relationship

Taking a case study of tourism as hospitality industry in Lampung Province in Indonesia, we analyze the antecedent of customer satisfaction and its impact on customer retention. Using Structural Equation Model (SEM), we find that customer relationship management has a significant impact on service quality, customer satisfaction and customer retention.

scholarly journals THE EFFECT OF CUSTOMER RELATIONSHIP MANAGEMENT (CRM) ON MUZAKI LOYALTY

2020 ◽  
Vol 5 (2) ◽  
pp. 90
Author(s):  
Nihayatu Aslamatis Sholihah ◽  
A'rasy Fahrullah
Keyword(s):  
Human Resources ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Sampling Technique ◽  
Quantitative Approach ◽  
Customer Relationship ◽  
Coefficient Of Determination ◽  
Research Use ◽  
Test Result

The aim of this research is to test the effect of customer relationship management (data and information, human resources, process, and technology) towards muzakki loyalty case study Yatim Mandiri Surabaya. this research was conducted with an associative quantitative approach. Number of samples that used in this research is 100 peoples who is active muzakki ini Yatim mandiri Surbaya and use purposive sampling technique. This research use a questionnare that calculates with Likert scale and analyzed with SPSS 23 version. The result of this research indicated that customer relationship management varible has significant effect and positive of muzakki loyalty. Based on the partial test result indicated that customer relationship management has partial effect of muzakki loyalty, and �based on the coefficient of determination test result, indicated that customer relationship management variable has a big impact as 33,7% of muzakki loyalty.

Key Issues in the Implementation of Electronic Customer Relationship Management in the Australian Hospitality and Tourism Sector

2012 ◽  
pp. 27-51
Author(s):  
Chad Lin
Keyword(s):  
Risk Factors ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Customer Relationship ◽  
Study Approach ◽  
Tourism Sector ◽  
Key Issues ◽  
Hospitality And Tourism ◽  
The Impact

The hospitality and tourism sector is one of fastest growing sectors in Australia and in the world. In order to become more efficient and effective in delivering products and services to customers via the use of ICT, hospitality and tourism organizations have to rethink the ways in which they build relationships with their customers by initiating electronic customer relationship management (eCRM) projects. Inappropriate eCRM decision-making and implementation can result in multi-million dollar losses, which can translate into a loss of competitiveness. Therefore, the case study approach was conducted to: (1) identify potential ICT costs and risk factors involved in eCRM initiatives in general; and (2) identify and examine key issues in the implementation of eCRM in the Australian hospitality and tourism sector. The contribution of this book chapter is two-fold. First, it offers hospitality and tourism executives with a more realistic insight about the impact of their eCRM investments on their business. Second, potential key issues, costs and risk factors associated with eCRM implementation are presented to assist these organizations in dealing with these challenges.

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