A SEM-neural network approach for understanding determinants of interorganizational system standard adoption and performances

Authors:
Felix T. S. Chan;Alain Y. L. Chong
Affiliations:
-;-
Venue:
Decision Support Systems
Year:
2012

Citing 15
Cited 0

The adoption of electronic data interchange: a model and practical tool for managers

Decision Support Systems
Neural Networks

Neural Networks
A perception-based model for EDI adoption in small businesses using a technology-organization-environment framework

Information and Management
Electronic business adoption by European firms: a cross-country assessment of the facilitators and inhibitors

European Journal of Information Systems - Managing e-business transformation
Internet EDI adoption factors: power, trust and vision

ICEC '05 Proceedings of the 7th international conference on Electronic commerce
An interorganizational perspective on the use of electronically-enabled supply chains

Decision Support Systems
A Comprehensive Examination of Internet-EDI Adoption

Information Systems Management
How do mediated and non-mediated power affect electronic supply chain management system adoption? The mediating effects of trust and institutional pressures

Decision Support Systems
Leveraging Standard Electronic Business Interfaces to Enable Adaptive Supply Chain Partnerships

Information Systems Research
Cognitive engagement with a multimedia ERP training tool: Assessing computer self-efficacy and technology acceptance

Information and Management
Predicting tourism loyalty using an integrated Bayesian network mechanism

Expert Systems with Applications: An International Journal
B2B e-commerce adoption decisions in Taiwan: The interaction of cultural and other institutional factors

Electronic Commerce Research and Applications
Determinants of RFID adoption intention: Evidence from Taiwanese retail chains

Information and Management
A neural network-based approach of quantifying relative importance among various determinants toward organizational innovation

Expert Systems with Applications: An International Journal
Expectation disconfirmation and technology adoption: polynomial modeling and response surface analysis

MIS Quarterly

Quantified Score

Hi-index	0.00

Visualization

Abstract

This research examines the adoption of an interorganizational system standard and its benefits by using RosettaNet as a case study. A comprehensive research framework derived from institutional theory and a Technology-Organization-Environment model was developed for this research. Data were collected from a sample of 212 Malaysian manufacturing firms. A multi-state analytic approach was proposed whereby the research model was tested using structural equation modeling (SEM), and the results from SEM were used as inputs for a neural network model for predicting RosettaNet adoption. The results showed that factors related to the environment, the Interorganizational Relationship (IOR) and an information sharing culture have a positive influence on the adoption of RosettaNet. In terms of organizational factors, top management support was found to have a positive and significant relationship with RosettaNet adoption. The results also showed that RosettaNet adoption has a significant and positive relationship with organizational performance. The research findings can also assist managerial decision making for those organizations planning to adopt RosettaNet. This research reduces the previous research gap by advancing understanding on the relationship of adoption factors and RosettaNet adoption, and extends previous approaches on RosettaNet adoption by investigating the relationships between RosettaNet adoption and organizational performance. Improved existing technology adoption methodology was achieved by integrating both SEM and neural network for examining the adoptions of RosettaNet.