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Open AccessJournal ArticleDOI

Where To Go From Here? Thoughts on Future Directions for Research on Individual-Level Technology Adoption with a Focus on Decision Making ∗

Viswanath Venkatesh
- 01 Nov 2006 - 
- Vol. 37, Iss: 4, pp 497-518
TLDR
The maturity of individual-level technology-adoption research is recognized and three broad future research directions are suggested, which are: (i) business process change and process standards, (ii) supply-chain technologies, and (iii) services.
Abstract
This article recognizes the maturity of individual-level technology-adoption research and suggests three broad future research directions. They are: (i) business process change and process standards, (ii) supply-chain technologies, and (iii) services. Each of these areas is identified based on the topics likely of interest to the readers of the Decision Sciences by closely examining Decision Sciences' editorial mission and the recent research published in it. Within each of these three different broad topic areas, a few different specific directions are identified. The directions outlined here are not meant to be exhaustive but rather potential directions that can result in a theoretical contribution to individual-level technology-adoption research and the specific topic area.

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Citations
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Technology Acceptance Model 3 and a Research Agenda on Interventions

TL;DR: This work draws from the vast body of research on the technology acceptance model (TAM) to develop a comprehensive nomological network of the determinants of individual level IT adoption and use and present a research agenda focused on potential pre- and postimplementation interventions that can enhance employees' adopted and use of IT.
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Bridging the qualitative-quantitative divide: guidelines for conducting mixed methods research in information systems

TL;DR: These guidelines elaborate on three important aspects of conducting mixed methods research: appropriateness of a mixed methods approach; development of meta-inferences; and assessment of the quality of Meta-Inferences.
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A Framework and Guidelines for Context-Specific Theorizing in Information Systems Research

TL;DR: The results show that the decomposed TAM provides a better understanding of the contexts by revealing the direct and interaction effects of context-specific factors on behavioral intention that are not mediated by the TAM constructs of perceived usefulness and perceived ease of use.
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Job characteristics and job satisfaction: understanding the role of enterprise resource

TL;DR: Based on a 12-month study of 2,794 employees in a telecommunications firm, it is found that ERP system implementation moderated the relationships between three job characteristics and job satisfaction.
Posted Content

Modeling Citizen Satisfaction with Mandatory Adoption of an E-Government Technology

TL;DR: A model of mandatory citizen adoption of an e-government technology is developed and test and finds that the various factors tied to the different stages in launching the technology predict key technology adoption variables that, in turn, predict citizen satisfaction with e- government technology.
References
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Perceived Usefulness, Perceived Ease of Use, and User

TL;DR: Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage.
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Perceived usefulness, perceived ease of use, and user acceptance of information technology

TL;DR: In this article, the authors developed and validated new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance.
Journal ArticleDOI

User acceptance of information technology: toward a unified view

TL;DR: The Unified Theory of Acceptance and Use of Technology (UTAUT) as mentioned in this paper is a unified model that integrates elements across the eight models, and empirically validate the unified model.
Journal ArticleDOI

User Acceptance of Computer Technology: A Comparison of Two Theoretical Models

TL;DR: In this article, the authors address the ability to predict peoples' computer acceptance from a measure of their intentions, and explain their intentions in terms of their attitudes, subjective norms, perceived usefulness, perceived ease of use, and related variables.
Journal ArticleDOI

A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies

TL;DR: In this paper, the authors developed and tested a theoretical extension of the TAM model that explains perceived usefulness and usage intentions in terms of social influence and cognitive instrumental processes, which was tested using longitudinal data collected regarding four different systems at four organizations (N = 156), two involving voluntary usage and two involving mandatory usage.
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