The Impact of Social Influence on Individuals' Adoption of Innovation

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.     

Response bias and difference estimate in double sampling

Metrika - Under usual linear model between the response (observed value) and the true value, the difference estimate of the population mean in double sampling is found to be relatively free from...     

Development of an Enhanced Model of Innovation Adoption by Individual Employees

This research investigates the antecedents and provides a new theoretical framework that addresses the adoption decision by individual employees in the organizations. The study integrates the theory of reasoned action, technology acceptance model, and the conceptual model provided by Frambach and Schillewaert (2002) Frambach, R. and Schillewaert, N. 2002. Organizational innovation adoption: A multi-level framework of antecedents and opportunities for future research. Journal of Business Research, 55(2): 163–176. [Crossref], [Web of Science ®] , [Google Scholar]. Data were collected from a randomly selected sample of employees using a structured questionnaire. The research uses multivariate statistical analysis to test the proposed enhanced model, which is largely supported and validated, accounting for 60% of the variances in usage. This result has strategic implications for organizations in the effective management of innovation involving employees in their workplaces.     

Preference Ordering Cash,Near Cash,and Electronic Cash

ABSTRACT

This research investigates the impact of sociocultural determinants on people’s perceptions and usage of smart systems in the United Arab Emirates (UAE). This research used the Theory of reasoned action, Unified theory of acceptance and use of technology (UTAUT) and Frambach and Schillewaert’s framework. These theories which focus on the determinants of technology acceptance behavior of users have been widely used in contemporary technology acceptance research. Data were collected from the UAE Ministries of Foreign Affairs, Health, and Economy using structured questionnaires. A total of 357 responses were analyzed using multivariate statistical techniques such as regression analysis and factor analysis. Multiple regression analysis helped to determine the direction of relationships between the constructs representing users’ sociocultural orientation, attitude toward smart systems and acceptable behavior. Factor analysis served to identify the underlying dimensions of the above constructs. The major finding of this research is that cultural values and peers’ influence significantly affect users’ perceptions and applications of technological innovations. Furthermore, the study reveals that users’ age and gender wield critical moderating effects on the relationship between cultural values and attitude toward smart systems. These findings have important implications for acceptance and implementation of smart systems in the UAE which are highlighted in this paper. This paper also identifies the limits of this research and explores the venues of further research in this field.