![Fred davis technology acceptance model Fred davis technology acceptance model](http://sis.binus.ac.id/files/2016/12/model-3-640x399.png)
Two recent meta-analyses of Technology Acceptance Model have come to different conclusions regarding the impacts of Perceived Usefulness (PU) and Perceived Enjoyment (PE) on Behavioral Intention (BI) of users of utilitarian software. While (Wu, J., and Lu, X. (2013) Effects of extrinsic and intrinsic motivators on using utilitarian, hedonic, and dual-purposed information systems: a meta-analysis. J. Assoc. Inf. Syst., 14) found PU to be more important than PE in the context of BI of users of utilitarian software, (Gerow, J. E., Ayyagari, R., Thatcher, J. B., and Roth, P. L. (2013). Can we have fun@ work? The role of intrinsic motivation for utilitarian systems. Eur. J. Inf. Syst., 22, 360–380) found both to be equally relevant. In this study, we hypothesize that the conflicting findings of both studies can be explained if we take in consideration the impact of systematic temporal variations in PU and PE, their interactional effects on BI and their differential impacts on BI due to users’ enduring personality factors. We test our hypotheses in a longitudinal study with actual users of two task planning applications. Round 2 (Time 2) of the longitudinal study was conducted 1 year after Round 1 (Time 1). The findings broadly support the proposed hypotheses and have useful implications for software product decisions on when and how much to focus on PE versus PU.
Dengan demikian, tujuan penelitian ini adalah untuk menguji pengaruh perceived usefulness sebagai variabel intervening pada hubungan kualitas sistem informasi terhadap kepuasan pengguna akhir perangkat lunak akuntansi yang belum pernah diteliti sebelumnya.
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.Abstract
![Perceived Perceived](/uploads/1/2/5/7/125755641/554977383.png)
Valid measurement scales for predicting user acceptance of computers are in short supply. Most subjective measures used in practice are unvalidated, and their relationship to system usage is unknown. The present research develops and validates new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance. Definitions for these two variables were used to develop scale items that were pretested for content validity and then tested for reliability and construct validity in two studies involving a total of 152 users and four application programs. The measures were refined and stream-lined, resulting in two six-item scales with reliabilities of.98 for usefulness and.94 for ease of use. The scales exhibited high convergent, discriminant, and factorial validity. Perceived usefulness was significantly correlated with both self-reported current usage (r=.63, Study 1) and self-predicted future usage (r=.85, Study 2). Perceived ease of use was also significantly correlated with current usage (r=.45, Study 1) and future usage (r=.59, Study 2). In both studies, usefulness had a significantly greater correlation with usage behavior than did ease of use. Regression analyses suggest that perceived ease of use may actually be a causal antecedent to perceived usefulness, as opposed to a parallel, direct determinant of system usage. Implications are drawn for future research on user acceptance.