Literature Review Matrix Mclean

Literature Review Matrix Mclean-41
Enduring doubts about the value of IS investments reveal that IS researchers have not fully managed to identify and to explain the economic benefits of IS.This paper assumes that literature reviews, which represent a powerful instrument for the identification and synthesis of knowledge, have not tapped their full potential to address this issue due to deficiencies in methodology.

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Finally, the specific measures used by researchers for each of the constructs that comprise the D&M model were examined.

In both the original and updated models, D&M strongly advocated the need for consistent and appropriate measures for IS success.

The systematic identification of these weaknesses and the extraction of promising methodological examples from past literature are the main contributions of this work, which supports the composition of more effective literature reviews in future research.

Since De Lone and Mc Lean (D&M) developed their model of IS success, there has been much research on the topic of success as well as extensions and tests of their model.

The analysis of 18 literature reviews published in pertinent academic outlets during the past 20 years shows such deficiencies.

Two of the most critical weaknesses identified are (1) the lack of theory use in most reviews and (2) a weak linkage of reviews, resulting in little progress in theory and framework development.

First, the D&M model was examined in two different contexts: the individual level of analysis and the organizational level of analysis in order to identify if the unit of analysis under study is a boundary condition for measuring success.

Second, unlike other literature reviews or meta-analyses that have only reviewed some of the relationships in the original D&M model, this review investigated all relationships in the updated IS success model ().

To measure the success of these various IS, organizations are moving beyond traditional financial measures, such as return on investment (), emphasizing the need for better and more consistent success metrics.

As a field, we have made substantial strides towards understanding the nature of IS success.


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