원문정보
초록
영어
InnovVizwas designed and developed anew as avisualization and simulationtool to present innovation and strategy information. The InnovViz system employs two key types of technology, namely mixed reality (MR) and neural network (NN). An experiment was conducted to examine the usability, acceptance and possible adoption of this new system. Participants comprised 4 experts from 4 top performing entrepreneurial firms and 161 master degree students from 2 leading universities. The study used a modified UTAUT model and a cognition and perception model. The results revealed that when the InnovViz was introduced, the key drivers to adoption are Facilitating Conditions (FC) and Voluntary to Use (VOL). Adequate knowledge and sufficient resources were found to strongly affect FC construct. The expert"fs rating of a firm"fs innovation and performance was more congruent with senior students with a technology-background than with a finance and accounting-background. InnovViz was seen as providing complex information with an ease of use and usefulness for showing data and assessment. Among the three types of visuals depicted by InnovViz, experts rated their usefulness in descending order as follows: Cube, Tetrahedron and Saturn. Finally, experts found backward simulation to be slightly more useful for assessment than forward simulation.
목차
1. Introduction
2. Mixed Reality (MR)
3. Neural Network (NN) Simulation
4. InnovViz 2.0
5. Technology Adoption
6. Cognition and Perception of Mixed Reality Visuals
7. Research Method
7.1 Study Constructs for Technology Adoption
7.2 Study Constructs for Information Processing and Cognition
7.3 Experiment Protocol
7.4 Experimental Subjects
7.5 Data Collection Instrument
8. Analyses and Results
8.1 Participant Characteristics
8.2 Expert Characteristics
8.3 Results of Technology Adoption
8.4 Results of Cognition and Perception
9. Discussion and Conclusion
9.1 Limitation and Future Research
Reference
Author Profile