572
Views
16
CrossRef citations to date
0
Altmetric
Articles

Adoption of Ubiquitous Customer Relationship Management (uCRM) in Enterprise: Leadership Support and Technological Competence as Moderators

ORCID Icon, &
Pages 75-92 | Published online: 18 Sep 2019
 

Abstract

Ubiquitous Customer Relationship Management (uCRM) signifies the realization of special characteristics, including proactiveness, context awareness, and mobility. This uCRM helps to enhance promptness and timeliness of the traditional system, thereby creating an environment associated with a state of being everywhere in no time and covering any device and any network. uCRM provides high personalization of service. The uCRM system has opened a new area of satisfaction for customers. Context awareness computing, a uCRM characteristic, is presumed to have enhanced benefits for a firm adopting uCRM in India. In this context, this study has taken a holistic attempt to analyze how technological competence and leadership support can enhance the business performance of a firm adopting uCRM. With input from literature studies, a hypothesis and a conceptual model have been formulated. Statistically, those have been validated with survey work considering 165 usable respondents from 22 different firms situated in three metropolitan cities in India. Results show that the effect of technological competence and leadership support positively help a uCRM-dependent firm towards achieving better business benefits. The study ends with a comprehensive conclusion.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 320.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.