The influence of change agents' behavioral intention on the usage of the activity based costing/management system and firm performance: The perspective of unified theory of acceptance and use of technology

Abstract

Abstract This study adopts the viewpoint of the Unified Theory of Acceptance and Use of Technology (UTAUT) model to examine the change agents' behavioral intentions in the implementation of an activity based costing/management (ABC/M) system. ABC/M is an important management system that emphasizes the allocation of overhead costs on the basis of cost drivers, in order to provide relevant information for improved decision-making. A change agent is a person chosen to cause organizational change. Senior managers and often chief executives usually play the role that implements change. The behavioral intentions have been identified as a proactive attitude and action for promoting the ABC/M system in this study. Since there is little evidence of ABC/M adoption outside the United States and European countries, this research used Taiwanese companies as the sample. Questionnaires were used to investigate the factors influencing change agents' behavioral intentions to promote ABC/M systems and the type of facilitating conditions that affected the extent of usage of ABC/M systems. The questionnaires were carried out through the perspective of user acceptance of information technology (IT). Furthermore, the aim of this paper is also to explore whether use of the ABC/M system will produce an improved effect on performance. The empirical results from 100 valid responses collected indicate that performance expectancy and social influence directly affect change agents' behavioral intentions. Both change agents' behavioral intentions and facilitation conditions are important constructs that affect the extent of usage of ABC/M systems. The extent of ABC/M usage is also significantly associated with relative financial and non-financial performance. The results demonstrate that the adaptive UTAUT model is applicable for measuring change agents' behavioral intentions in current implementations of ABC/M systems. The study also reveals the positive effect of change agents on the performance of ABC/M systems.