Factors Affecting Customer Relationship Management Perception: A Study of Jordnian Hospital Sector

The concept of Customer Relation ManagementSystem (CRMS) has engendered considerable interest in Jordan in recent years. While previous research on the relationship between external, organization and technology factors and CRMS perceptions has largely been based on international data, this paper reviews the relationship between the perception of external, organization and technology factors and CRMS perceptions in the Jordanian hospital. A total of 103 responses were received from a population that had already worked in Jordanian hospital. The partial least squares equation modeling was used as the approach to examine the proposed model. This study found a significant relationship between technology and organization factors and CRMS perception. The findings imply the need for hospital, particularly Amman and Irbid, to strategically leverage the effect of CRMS on hospital performance.

[1]  A. Croteau,et al.  Critical Success Factors of CRM Technological Initiatives , 2009 .

[2]  Emad Abu-Shanab,et al.  Electronic Customer Relationship Management (e-CRM) in Jordan: The Case of Egyptian Arab Land Bank , 2012, Int. J. Technol. Diffusion.

[3]  Karl G. Jöreskog,et al.  Lisrel 8: Structural Equation Modeling With the Simplis Command Language , 1993 .

[4]  Patrick Y. K. Chau,et al.  A perception-based model for EDI adoption in small businesses using a technology-organization-environment framework , 2001, Inf. Manag..

[5]  Paul Jen-Hwa Hu,et al.  Examining the effects of cognitive style in individuals' technology use decision making , 2008, Decis. Support Syst..

[6]  V. Sudhakar,et al.  Electronic Customer Relationship Management (E-CRM) , 2009 .

[7]  Rolph E. Anderson,et al.  Multivariate Data Analysis (7th ed. , 2009 .

[8]  Ibrahim Alnawas,et al.  Empirical Investigation of the CRM Concept in the Jordanian Context: The Case of Banks and Financial Institutions , 2011 .

[9]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[10]  Ginger Benz,et al.  Developing patient-based marketing strategies. , 2004, Healthcare executive.

[11]  S Adkins,et al.  Cause related marketing : who cares wins , 1999 .

[12]  J. Nunnally,et al.  Psychometric Theory: NY. , 1978 .

[13]  J. Morgan Customer Information Management (CIM): The Key to Successful CRM in Financial Services , 2007 .

[14]  Peter C. Verhoef,et al.  Strategically embedding CRM , 2003 .

[15]  M. Browne,et al.  Alternative Ways of Assessing Model Fit , 1992 .

[16]  E. Carmines,et al.  Analyzing models with unobserved variables: analysis of covariance structures , 1981 .

[17]  Deborah Compeau,et al.  Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study , 1999, MIS Q..

[18]  J. Roscoe Fundamental Research Statistics for the Behavioral Sciences , 2004 .

[19]  Peter Kawalek,et al.  Predicting SMEs' adoption of enterprise systems , 2009, J. Enterp. Inf. Manag..

[20]  K. Ramamurthy,et al.  Determinants and outcomes of electronic data interchange diffusion , 1995 .

[21]  K. Rundell,et al.  Decreased lung function after inhalation of ultrafine and fine particulate matter during exercise is related to decreased total nitrate in exhaled breath condensate. , 2008, Inhalation toxicology.

[22]  Rebecca Wettemann Driving CRM value in healthcare. , 2007, Health management technology.

[23]  Hyung-Su Kim,et al.  Integration of firm's resource and capability to implement enterprise CRM: A case study of a retail bank in Korea , 2010, Decis. Support Syst..