The Impact on Social Influence on Individuals' Adoption of Innovation

Research output: Contribution to journalArticle

25 Citations (Scopus)

Abstract

This article empirically examines the impact of social factors (peer and social network) on attitudes toward innovation and the impact of that attitude on individual employees adopting innovation in their workplaces in Australia. This research uses quantitative research methodology and specifically multivariate statistical analysis. The research framework is based on the theory of reasoned action, the technology acceptance model, Frambach and Schillewaert's conceptual framework, and the unified theory of acceptance and use of technology. Data were collected from employees of a tertiary institution in Australia using a structured questionnaire. The results of multiple regression analysis show that social network impacts significantly on attitudes toward an innovation which, in turn, affects the innovation adoption behavior of employees. Furthermore, social network has been found to directly influence the innovation adoption process. This outcome has strategic implications for organizations in the effective management of innovation involving employees. These implications are highlighted in the article. This research has focused on only one organization in a particular region in Australia. Future research can explore the relationship between variables by including a number of organizations across Australia and beyond to provide a deeper insight into the issues explored in this article
Original languageEnglish
Pages (from-to)111-135
Number of pages25
JournalJournal of Organizational Computing and Electronic Commerce
Volume21
Issue number2
DOIs
Publication statusPublished - 2011

Fingerprint

Innovation
Personnel
Regression analysis
Statistical methods

Cite this

@article{a63e48217b66419c82282e8e66d549a1,
title = "The Impact on Social Influence on Individuals' Adoption of Innovation",
abstract = "This article empirically examines the impact of social factors (peer and social network) on attitudes toward innovation and the impact of that attitude on individual employees adopting innovation in their workplaces in Australia. This research uses quantitative research methodology and specifically multivariate statistical analysis. The research framework is based on the theory of reasoned action, the technology acceptance model, Frambach and Schillewaert's conceptual framework, and the unified theory of acceptance and use of technology. Data were collected from employees of a tertiary institution in Australia using a structured questionnaire. The results of multiple regression analysis show that social network impacts significantly on attitudes toward an innovation which, in turn, affects the innovation adoption behavior of employees. Furthermore, social network has been found to directly influence the innovation adoption process. This outcome has strategic implications for organizations in the effective management of innovation involving employees. These implications are highlighted in the article. This research has focused on only one organization in a particular region in Australia. Future research can explore the relationship between variables by including a number of organizations across Australia and beyond to provide a deeper insight into the issues explored in this article",
keywords = "Business and Technology Management",
author = "Majhanul Talukder and Ali Quazi",
year = "2011",
doi = "10.1080/10919392.2011.564483",
language = "English",
volume = "21",
pages = "111--135",
journal = "Journal of Organizational Computing and Electronic Commerce",
issn = "1091-9392",
publisher = "Taylor and Francis Ltd.",
number = "2",

}

TY - JOUR

T1 - The Impact on Social Influence on Individuals' Adoption of Innovation

AU - Talukder, Majhanul

AU - Quazi, Ali

PY - 2011

Y1 - 2011

N2 - This article empirically examines the impact of social factors (peer and social network) on attitudes toward innovation and the impact of that attitude on individual employees adopting innovation in their workplaces in Australia. This research uses quantitative research methodology and specifically multivariate statistical analysis. The research framework is based on the theory of reasoned action, the technology acceptance model, Frambach and Schillewaert's conceptual framework, and the unified theory of acceptance and use of technology. Data were collected from employees of a tertiary institution in Australia using a structured questionnaire. The results of multiple regression analysis show that social network impacts significantly on attitudes toward an innovation which, in turn, affects the innovation adoption behavior of employees. Furthermore, social network has been found to directly influence the innovation adoption process. This outcome has strategic implications for organizations in the effective management of innovation involving employees. These implications are highlighted in the article. This research has focused on only one organization in a particular region in Australia. Future research can explore the relationship between variables by including a number of organizations across Australia and beyond to provide a deeper insight into the issues explored in this article

AB - This article empirically examines the impact of social factors (peer and social network) on attitudes toward innovation and the impact of that attitude on individual employees adopting innovation in their workplaces in Australia. This research uses quantitative research methodology and specifically multivariate statistical analysis. The research framework is based on the theory of reasoned action, the technology acceptance model, Frambach and Schillewaert's conceptual framework, and the unified theory of acceptance and use of technology. Data were collected from employees of a tertiary institution in Australia using a structured questionnaire. The results of multiple regression analysis show that social network impacts significantly on attitudes toward an innovation which, in turn, affects the innovation adoption behavior of employees. Furthermore, social network has been found to directly influence the innovation adoption process. This outcome has strategic implications for organizations in the effective management of innovation involving employees. These implications are highlighted in the article. This research has focused on only one organization in a particular region in Australia. Future research can explore the relationship between variables by including a number of organizations across Australia and beyond to provide a deeper insight into the issues explored in this article

KW - Business and Technology Management

U2 - 10.1080/10919392.2011.564483

DO - 10.1080/10919392.2011.564483

M3 - Article

VL - 21

SP - 111

EP - 135

JO - Journal of Organizational Computing and Electronic Commerce

JF - Journal of Organizational Computing and Electronic Commerce

SN - 1091-9392

IS - 2

ER -