Recently, will enable the policy makers to

Recently, business environment has become very dynamic
and unpredictable. Product lifecycles has reduced, customer requirements are
changing rapidly due to multiple products innovations, issues of global
financial crises and many others report just but few reasons why almost all organization
face changes in achieving competitive advantage. This has direct impact of
organizational business processes and thus the need to improve their
flexibility and enhance performance (Trkman,2010). organizations have used
Business process change (BPC) as a method of helping them adapt to the dynamic
environment.      

Rosenberg et al. (2015) ascertains that BPC projects present
complex phenomena and are often fraught with uncertainties, frequent delays and
failures. They further argue that because BPC is a holistic approach, it bears
many organizational, technological economic and social risks. Thus BPC and its
complexity can better be understood using simulation models such as system dynamics
(SD) models by providing comprehensions into feedback processes within itself
(Flood &Jackson,1991)

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Forrester (1961, 1985, 1992; Senge, 1990; Spector
& Davidsen, 1997) asserts that System Dynamics has proven to be an
effective tool in management of the complexities of multiple requirements
domains that involve complex structures for example feedback loops, delays, and
uncertainties. According to (Madachy, 2008; Vergidis, Tiwari, & Majeed,
2006; Xirogiannis & Glykas, 2004) participants will be able to better
understand the parameters and complex feedback loops more easily through The
use of SD

This study will propose a SD model for BPC projects
that captures the BPC information Systems factors and the relationships between
them. This simulation model will enable the policy makers to easily apply
changes on various variables (factors) influencing change in BPC and anticipated
effect.

The remainder of this paper is organized in this
manner. In section 2, we provide an overview of BPC and review the application
of SD in BPC. In section 3, we describe the process and problem statement and explain
SD simulation model. In section 4, we demonstrate the use of the SD Model by
simulating various decisions, section 5 is results and limitation discussion
and section 6 will present our conclusion