scholarly journals A Big Data Approach to Customer Relationship Management Strategy in Hospitality Using Multiple Correspondence Domain Description

2020 ◽  
Vol 11 (1) ◽  
pp. 256
Author(s):  
Lydia González-Serrano ◽  
Pilar Talón-Ballestero ◽  
Sergio Muñoz-Romero ◽  
Cristina Soguero-Ruiz ◽  
José Luis Rojo-Álvarez
Keyword(s):  
Big Data ◽  
Customer Relationship Management ◽  
Multiple Correspondence Analysis ◽  
Relationship Management ◽  
Customer Relationship ◽  
Feature Maps ◽  
Adequate Knowledge ◽  
Crm System ◽  
Client Behavior ◽  
Domain Description

COVID-19 has hit the hotel sector in a hitherto unknown way. This situation is producing a fundamental change in client behavior that makes crucial an adequate knowledge of their profile to overcome an uncertain environment. Customer Relationship Management (CRM) can provide key strategies in hospitality industry by generating a great amount of valuable information about clients, whereas Big Data tools are providing with unprecedented facilities to conduct massive analysis and to focus the client-to-business relationship. However, few instruments have been proposed to handle categorical features, which are the most usual in CRMs, aiming to adapt the statistical robustness with the best interpretability for the managers. Therefore, our aim was to identify the profiles of clients from an international hotel chain using the overall data in its CRM system. An analysis method was created involving three elements: First, Multiple Correspondence Analysis provides us with a statistical description of the interactions among categories and features. Second, bootstrap resampling techniques give us information about the statistical variability of the feature maps. Third, kernel methods provide easy-to-visualize domain descriptions based on confidence areas in the maps. The proposed methodology can provide an operative and statistically principled way to scrutinize the CRM profiles in hospitality.

A Critical Review On Perception & Benefits Of Customer Relationship Management (CRM) System In Indian Private Hospitals

2016 ◽  
Vol 1 (2) ◽  
Author(s):  
Dr. Surendra Kumar ◽  
Dr. Meenakshi Srivastava
Keyword(s):  
Electronic Medical Records ◽  
Customer Relationship Management ◽  
Medical Records ◽  
Relationship Management ◽  
Customer Relationship ◽  
Research Approach ◽  
Private Hospitals ◽  
Crm System ◽  
Systems Implementation ◽  
Adoption And Implementation

The implementation of Customer relationship Management (CRM) Systems has been increased within organizations for the purposes of increasing customer loyalty accompany with decreasing expenses and increasing revenues. The perception of the benefits associated with the implementation of CRM systems is an essential step for the adoption and implementation of CRM systems. Therefore, this paper presents the study conducted to investigate the perception of the CRM systems in the private hospitals in the northern part of India as there is a lack of adoption of CRM systems in hospitals. Qualitative research approach that is interview based was adapted in the study. The management of 10 private hospitals in the northern part of India was interviewed. The results reveal that no hospital has adopted CRM system. In addition, there is a substantial lack of understanding of the benefits of CRM systems in hospitals. Some hospitals claim that the implementation of CRM system is not of their priorities and there are much important projects as the implementation of Electronic Medical Records (EMD). However, other hospitals indicate for an existence of future plan for the adoption and implementation of CRM system. Another issue that needs to be taken into consideration by the vendors of CRM systems is the high costs associated with the implementation of CRM systems in hospitals. Indeed, both the vendors of CRM systems and the managers of hospitals hold the responsibility of the lack of CRM systems implementation in hospitals.

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

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pasquale Del Vecchio ◽  
Gioconda Mele ◽  
Evangelia Siachou ◽  
Gloria Schito
Keyword(s):  
Big Data ◽  
Customer Relationship Management ◽  
Research Agenda ◽  
International Marketing ◽  
Relationship Management ◽  
Customer Relationship ◽  
Future Research ◽  
Content Type ◽  
Future Research Agenda ◽  
Structured Literature Review

PurposeThis paper aims to advance the international marketing debate by presenting the results of a structured literature review (SLR) focusing on Big Data implementation in customer relationship management (CRM) strategizing. It outlines past and present literature and frames a future research agenda.Design/methodology/approachThe research analyzes papers published in journals from 2013 to 2020, deriving significant insights about Big Data applications in CRM. A sample of 48 articles indexed at Scopus was preliminarily submitted for bibliometric analysis. Finally, 46 papers were analyzed with content and a bibliometric analysis to identify areas of thematic specializations.FindingsThe paper presents a conceptual multilevel framework demonstrating areas of specialization emerging from the literature. The framework is built around four coordinated sequences of actions relevant to “why,” “what,” “who” and “how” Big Data is implemented in CRM strategies, thus supporting the conception and implementation of an internationalization marketing strategy.Research limitations/implicationsImplications for the development of the future research agenda on international marketing arise from the comprehension of Big Data in CRM strategy.Originality/valueThe paper provides a comprehensive SLR of the articles dealing with models and processes of Big Data for CRM from an international marketing perspective. Despite these issues' relevance and the increasing literature focused on them, research in this area is still fragmented and underexplored, requiring more systematic and holistic studies.

Big Data and Service Science

2016 ◽  
pp. 180-196
Author(s):  
Tu-Bao Ho ◽  
Siriwon Taewijit ◽  
Quang-Bach Ho ◽  
Hieu-Chi Dam
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Big Data ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Service Science ◽  
Customer Relationship ◽  
Service Value ◽  
Mining Methods ◽  
The Relationship

Big data is about handling huge and/or complex datasets that conventional technologies cannot handle or handle well. Big data is currently receiving tremendous attention from both industry and academia as there is much more data around us than ever before. This chapter addresses the relationship between big data and service science, especially how big data can contribute to the process of co-creation of service value. In particular, the value co-creation in terms of customer relationship management is mentioned. The chapter starts with brief descriptions of big data, machine learning and data mining methods, service science and its model of value co-creation, and then addresses the key idea of how big data can contribute to co-create service value.

Infosys Technologies Limited

2011 ◽  
pp. 1-15
Author(s):  
Debabroto Chatterjee ◽  
Rick Watson
Keyword(s):  
Information Management ◽  
Delivery System ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Customer Relationship ◽  
It Services ◽  
Customer Information ◽  
Crm System ◽  
Front End

Infosys Technologies Ltd., one of the world’s most profitable IT services company, implemented a customer relationship management (CRM) system called CIMBA – Customer Information Management By All. This customer-focused system was conceived and designed to improve communication and collaboration between the company and its customers. By seamlessly integrating the front-end sales system with the back-end delivery system, CIMBA was expected to further enhance the company’s IT solutions delivery capability. This case provides insights into the factors that triggered the need for developing such an integrated CRM solution and how the company went about developing and launching this system. It also brings to light the various challenges associated with the implementation of this IS solution.

scholarly journals Customer relationship management and big data enabled: Personalization & customization of services

2019 ◽  
Vol 15 (2) ◽  
pp. 94-101 ◽  
Author(s):  
Muhammad Anshari ◽  
Mohammad Nabil Almunawar ◽  
Syamimi Ariff Lim ◽  
Abdullah Al-Mudimigh
Keyword(s):  
Big Data ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Customer Relationship
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