Data Modeling Design

Causal Mapping for Research in Information Technology by V.K. Narayanan, Deborah J. Armstrong

By V.K. Narayanan, Deborah J. Armstrong

Causal Mapping for study in info know-how offers an creation to causal mapping for IS researchers and practitioners and is going extra to supply IS researchers and practitioners every thing they should use causal mapping for either examine and alertness.

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Some of the key words used in identifying explicit causal statements are “if-then,” “because,” and “so” (Axelrod, 1976). In addition to explicit causal statements, according to Axelrod (1976), there are also implicit relationships found in causal statements. The phrase may not contain the traditional key words used to identify causal statements, but the causality of the sentence is clear within the context of the text. Some “key words” that have been used in identifying implicit causal statements are “think,” “know,” “use,” and “believe”.

Appendix A: Coding Rules and Examples for Structural Relationships 2 Linkage Codes There are seven codes that can be applied to the linkages in a causal map. The codes and descriptions are provided. Code + + A M 0 Description Positive Negative Will not hurt, does not prevent, not harmful Will not help, does not promote, no benefit May or may not be related to Effects in non-zero manner No effect, no relation to Copyright © 2005, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc.

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