Paper Type

Complete

Abstract

This paper addresses the issue of Trust in Information Technology (TIT) and its conceptualization within the field of Information Systems. While the relevance of TIT is emphasized in literature, this concept has often been contextualized and treated in specific terms (i.e. particularized) by prior research. The outcome is a multiplication of definitions and measures of TIT each theoretically suited to a specific context and of a limited scope. This multiplication rises issues of conceptual ambiguity and a lack of consensus in understanding TIT. We propose to standardize and to lump together TIT measures to redefine the concept of TIT. By levering Large Language Model (LLM) application, item rating technique and item sorting technique, we advance six content validated complementary measurement scales of TIT.

Paper Number

2207

Author Connect URL

https://authorconnect.aisnet.org/conferences/AMCIS2025/papers/2207

Comments

IntelFuture

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Aug 15th, 12:00 AM

Reducing conceptual redundancy of Trust in IT constructs: content validation of complementary measures

This paper addresses the issue of Trust in Information Technology (TIT) and its conceptualization within the field of Information Systems. While the relevance of TIT is emphasized in literature, this concept has often been contextualized and treated in specific terms (i.e. particularized) by prior research. The outcome is a multiplication of definitions and measures of TIT each theoretically suited to a specific context and of a limited scope. This multiplication rises issues of conceptual ambiguity and a lack of consensus in understanding TIT. We propose to standardize and to lump together TIT measures to redefine the concept of TIT. By levering Large Language Model (LLM) application, item rating technique and item sorting technique, we advance six content validated complementary measurement scales of TIT.

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