A CRITIQUE OF RUSSEL WINNER’S MODEL OF CUSTOMER RELATIONSHIP MANAGEMENT (CRM)

2012 ◽  
Vol 01 (11) ◽  
pp. 01-07
Author(s):  
Ekakitie-Emonena Sunny

This paper attempts a critique of Russel Winner’s (2001) CRM framework as a working model in the CRM adoption process. Indeed, this researcher faults the framework both in conception, structure and in functional fluidity on the grounds that building a CRM programme should not start with the creation of a database down to terminating at the metrics level as his model suggest. This author attempts a better structuring to enable a more fluid process. Therefore, the paper hypothesizes that the process of building an effective CRM programme should start from engaging in promotional activities to attract customers, then using data capture devices to analyse customer profile, engage in customer selection and targeting down to metrics and performance evaluation. Finally, a feedback processes (loop) to ascertain whether the original objectives have been attained is of crucial essence, and if not, the initiation of a corrective measures to make the programme better become of essence. The paper proposes a Model II framework (as captured hereunder) as the ideal/correct sequence the process should follow. This researcher therefore makes this modification as a salient recommendation for all organizations as they attempt to adopt a CRM programme to drive their organization competitively.

2019 ◽  
Vol 9 (2) ◽  
pp. 58-63
Author(s):  
Tammy Wee ◽  
Arif Perdana ◽  
Detlev Remy

Data analytics is currently the buzzword for the hospitality industry to stay ahead of their competitors. Service providers use data analytics to ensure their brand remains relevant for customers. Using data analytics in customer relationship management is a relatively novel initiative for the hospitality industry to enhance the efforts of customer relationship management. Obtaining customers’ data (i.e. customers’ hotel stay and preferences) provides both opportunity and challenges for the hospitality industry. Data analytics helps the hospitality industry to quickly, effectively, and efficiently pursue data-driven decision-making. At the same time, acquiring relevant customers’ data is a challenge, for example, data privacy and confidentiality. This case study is based on Alpen Hotel (pseudonym), a luxury hotel in Singapore with a good standing in the hospitality industry. This case is focused on the issues they experienced in implementing data analytics as part of the hotel’s customer relationship management efforts. This case study aims to highlight data analytics dilemma at the hotel and may create an opportunity for hospitality educators to work interdisciplinary with faculties from an information systems or technology discipline. Finally, the case study may enhance knowledge and minimise the practice gap between industry and academia.


Author(s):  
Bryan Soh Yuen Liew ◽  
T. Ramayah ◽  
Jasmine Yeap Ai Leen

Competition in the Web-hosting industry has become very intense in recent years as the market becomes saturated with existing as well as new players. To survive in this very competitive environment, Web-hosting companies need to be more responsive to their customer needs. Customer relationship management is thought of as a key solution to this. Thus the purpose of this study was to test the effect of CRM implementation intensity on CRM performance among Web-hosting companies. The more intense the implementation the better the CRM performance should be. Data was collected via online questionnaires from 81 respondents representing various online Web-hosting companies around the globe. The results indicated CRM implementation intensity had a direct positive influence on CRM performance.


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