Author:
Gangwar Hemlata,Date Hema,Raoot A.D.
Abstract
Purpose
– The purpose of this paper is to review the literature on information technology adoption in organizations to understand the need of integrated models for technology adoption. It further makes an attempt to identify key parameters to integrate technology acceptance model (TAM) and technology-organization-environment (TOE) framework for firm level technology adoption. This integration is intended to improve predictive power of resulting model.
Design/methodology/approach
– The research papers are accessed from the popular databases from 2000 to 2012. The selected papers have addressed technology adoption in context of recent technologies such as e-commerce, ERP, RFID, EDI and knowledge management, etc. The paper attempts to review the studies based on TAM model and TOE framework to identify relevant set of variables for the adoption of these technologies in organizations.
Findings
– TAM and its extended versions have high capability to explain the technology adoption while the significance of TOE framework is similarly recognized in explaining technology adoption. This review presents a holistic picture of a set of variables which can be used in the adoption of similar technologies in future. Further, the study has advocated the integration of TAM model and TOE framework to improve their explanatory power in technology adoption. The identified set of variables of TAM model and TOE framework can be used to integrate the two. Guidelines for integrating the two are also explained.
Research limitations/implications
– This study provides a platform for studying adoption of similar technologies using integration of TAM and TOE.
Practical implications
– The researchers and managers can use the set of variables identified for adoption of similar technologies in organizations.
Originality/value
– The review presents a set of variables which can be used to study adoption of similar technologies in future.
Subject
Information Systems,Management of Technology and Innovation,General Decision Sciences
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