Paper Info
Title
Multi-level analysis in information systems research: the case of enterprise resource planning system usage in China
Abstract
Information technology (IT) usage within organisations is a multi-level phenomenon that is influenced by individual-level and organisational-level variables. Yet, current theories, such as the unified theory of acceptance and use of technology, describe IT usage as solely an individual-level phenomenon. This article postulates a model of organisational IT usage that integrates salient organisational-level variables such as user training, top management support and technical support within an individual-level model to postulate a multi-level model of IT usage. The multi-level model was then empirically validated using multi-level data collected from 128 end users and 26 managers in 26 firms in China regarding their use of enterprise resource planning systems and analysed using the multi-level structural equation modelling (MSEM) technique. We demonstrate the utility of MSEM analysis of multi-level data relative to the more common structural equation modelling analysis of single-level data and show how single-level data can be aggregated to approximate multi-level analysis when multi-level data collection is not possible. We hope that this article will motivate future scholars to employ multi-level data and multi-level analysis for understanding organisational phenomena that are truly multi-level in nature.
Year
DOI
Venue
2011
10.1080/17517575.2011.610904
Enterprise IS
Keywords
Field
DocType
enterprise resource planning system,multi-level phenomenon,single-level data,it usage,msem analysis,information systems research,multi-level analysis,multi-level structural equation modelling,multi-level data,multi-level data collection,approximate multi-level analysis,multi-level model,data collection,information technology,structural equation modelling,survey research
Data mining,Data collection,Enterprise resource planning,Structural equation modeling,Systems engineering,End user,Computer science,Information technology,Knowledge management,Enterprise modelling,Technical support,Unified theory of acceptance and use of technology
Journal
Volume
Issue
ISSN
5
4
1751-7575
Citations 
PageRank 
References 
11
0.49
29
Authors
2
Name
Order
Citations
PageRank
Yuan Sun11005.03
Anol Bhattacherjee23754143.12