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Delone & Mclean Is Model

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DeLone & McLean IS Model

Due to the complexity of IS, the measure of IS success has not been easily to perceive. It is neither been totally clear nor exactly established. (Wu & Wang, 2006) In the year of 1992, DeLone and Mclean have carried out a review of IS success literature. The literature has established a IS success model namely “DeLone and McLean IS success model (1992)” It is a frameworks for conceptualizing IS success. (DeLone & McLean, 2003)
D&M IS success model (1992) is one of the most widely cited models for a large number of studies which investigates the multidimensional relationships among the measures. (Heo and Han 2002) For example, a proposed model for evaluating the success of WebCT course content management system by Adeyinka (2010) and E-learning system based on the IS success model by Chen (2010).
D&M IS Success model (1992) is conducted upon a foundation of a total reviewed of 180 researches paper and drawn the six major categories together to provide a descriptive model as Figure 1. There are six major categories of IS success in D&M IS Success model (1992): (1) System Quality, (2) Information Quality, (3) IS use, (4) User Satisfaction, (5) Individual Impact, and (6) Organizational Impact. Each variable has standard measurement dimensions to determine their impact on success. (DeLone & McLean, 1992) DeLone and McLean also stated that the researchers who study this model should systematically joint all the six measures together when measuring the success of IS. They also suggested that there is necessary for future researches to be conducted to test the model.
Definitions of the six categories are following:
System Quality System Quality (SQ) can be defined as the comprehensive performance of the AIS which constructs by a set of measurement to determine the quality of the systems. (Bharati and Chaudhury 2004) Some of the important measurements for SQ concluded from literature are easy for understanding, easy to use, adaptability, system stability, response time and the others. (Petter et.al. 2008)
Information Quality
Information Quality (IQ) captures the degree that the quality of output data presented by IS in term of its availability, timeliness, relevant, accuracy, appropriateness, completeness, reliability of information. These measures are refined from the literature review. (Rai et al. 2002; Al-adaileh 2009)

Use
System use has been found as one of the most common dimensions to evaluate IS success. Use can be explained as the degree of effort will be consumed by ended users. (Adeyinka, 2010) Normally it is present as frequency of system use such as amount of hours spent on using IS by ended-users. (Seddon, 1997) However, using frequency of use to judge IS success might not comprehensive as it is only relevant when use is voluntary. The best way to measure is through the assessment of the making use of IS, which is the degree of users are dependent on the IS to accomplish their works.(DeLone & McLean, 1992) Intention to use is known by expected future usage of an IS and its output. The higher the intention to use is more likely to promote higher system use, and then increase the net benefits (Venkatesh et al. 2003)
User Satisfaction
User Satisfaction refers to the summary responses or feeling of the users towards the overall IS output. The measurements to user satisfaction to IS depend on the robustness, task achievement system availability, , productivity and efficiency. In addition, measure for user satisfaction can be conducted by measuring how users evaluated their overall satisfaction with the IS. (DeLone & McLean, 2008)
Individual Impact The effect of the IS on user’s satisfaction and system use were reflected by Individual Impact. (Adeyinka, 2010; AlMutari & Subramanian, 2005)Al Jennex & Olfman (2003) suggested that individual impact will eventually affect the performance of the organization. The influences on the individual are mainly concentrating on the factors of improvement on productivity, effectiveness in planning, decision accuracy and confidence, quality of decision and time saving.
Organizational Impact Organizational Impact can be explained as the impact of an IS towards organizational performance. (Hwang & Thorn, 1999) It is influenced by individual impact, where individual is influenced by satisfaction. Therefore, it can be concluded that user satisfaction and individual impact have directly influences organizational impact. (Almutari and Subramanian, 2005) The level of organization profit, organization effectiveness, and improvement on financial status are example of the measure dimensions. (Halawi, 2008)

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