9 CONCLUSIONS 
Enterprise-wide daily transactions are difficult to 
manage due to their complexity and scope in terms 
of rendering services to their clients. As a result, 
many organizations employ Information Technology 
(IT) to manage their enterprise-wide transactions 
and to ensure quality of services. IT, when properly 
selected and implemented, helps organizations 
increase their efficiency and capabilities which 
improves the organization’s competitive advantages. 
In spite of the importance of information technology 
(IT), IT project failure rates still remain high. This 
suggests continued exploration of new process 
model and organization structure to nurture strong 
project performance.  
In this paper we propose a new model for 
successful implementation of IT projects. The model 
consists of three main components; the first 
component is concerned with the stages taken by 
organization to deploy new technology innovations 
which is in turned composed of four stages: 
visioning, matching vision, deployment, and 
evaluation and improvement. The second component 
deals with the main knowledge barriers to IT 
innovation diffusion as suggested by literatures. The 
third component is concerned with the critical 
success factors of IT innovation implementation as 
suggested by various literatures. The proposed 
model calls for the establishment of a program 
management office to implement corporate strategy 
for project management and to transform the 
organization into a learning one. The model is 
explained in details thru an example of CPOE 
implementation. 
The acts of sharing are very important since a 
project's knowledge will not have much impact on 
the organization unless it is made available to other 
projects. Although knowledge exists at different 
levels of an organization, for instance, at the individ-
ual, team, and organization levels, sharing of 
knowledge at the individual level is critical to an 
organization.  
It is expected as organizations use this model for 
several projects; more knowledge would be gained 
and used towards more successful project in the 
future. Critical success factors would be refined 
more and be closely tied with organization culture.  
Such learning organizations would be aware of the 
repeated knowledge barriers to innovation adoption 
and a well defined plan to address these barriers 
would be developed. Moreover, the knowledge base 
will help these organizations refine their strategies 
and prioritized plans. 
REFERENCES 
Institute of Medicine (1999). To Err is Human: Building a 
Safer Health System. National Academy Press, 
Washington, DC. 
Haux, R. (2006). Health Information systems-past, 
present, future. Int. J. of Med. Info., 75, 268-281. 
Berger, R. G. & Kichak, J. P. (2004). Computerized 
Physicians Order Entry: Helpful or Harmful. J. Am. 
Med. Assoc., 11, 100-103. 
Snyder, R., Weston, M., Fields, W., Rizos, A. & Tedeschi, 
C. (2006). Computerized provider order entry system 
field research: The impact of contextual factors on 
study implementation. Int. J. of Med. Info., 75, 730-
740. 
AHRQ (2001). Making Health Care Safer: A Critical 
Analysis of Patient Safety Practices. Found in 
http://www.ahrq.gov/clinic/ptsafety/  
Metzger, J. & Fortin, J. (2003). Computerized Physician 
Order Entry in Community Hospitals: Lessons from 
the Field. California HealthCare Foundation and First 
Consulting Group.  
Ash, J. S., Savri, P. Z. & Kuperman, G. J. (2003) .A 
Consensus on Considerations for a Successful CPOE 
Implementation. J. Am. Med. Assoc., 10, 229-234. 
Project Management Institute. A guide to the project 
management body of knowledge 3rd edition.  Newton 
square, OA, 2004. 
Bolles, D. (2004) Building project management centers of 
excellence. AMACOM.  
DeLone, W. H. & McLean, E. R. (1992). Information 
systems success: the quest for the dependent variable. 
Information Systems Research, 3(1), 1992, 60–95. 
DeLone, W. H. & McLean, E. R. (2003). The DeLone and 
McLean model of information system success: a ten-
year update. Journal of Management Information 
Systems, 19(4), 9–30. 
Attewell, P. (1992). Technology diffusion and 
organizational learning: the case of business 
computing. Organ, Sci. 3, 1-19. 
Tanriverdi, H. & Iacono, C. S. (1999). Knowledge barriers 
to diffusion of telemedicine. in proceedings (ICIS 
20th), Charlotte, NC, 39-50. 
Nambisan, S. & Wang, Y.-M (1999). Roadblocks to web 
technology adoption? in Commun. ACM. Vol. 42(1), 
98-101. 
Pare, G. & Trudel, M.-C.(2007). Knowledge barriers to 
PACS adoption and implementation in hospitals. Int. 
J. of Med. Informatics, 76, 22-33. 
Rogers, E. M. (1995). Diffusion of Innovations, 4th 
edition, Free press, New York, NY. 
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