**Author details**

**7. Discussion and conclusion**

**Table 4.** Summary of the hypothesis testing results.

160 Knowledge Management Strategies and Applications

**Table 5.** *R*<sup>2</sup> .

Role of affect has been measured in this study to investigate on its relationship between positive and negative affect with knowledge workers' behavioral intention to use knowledge-sharing tools. The results show that these two constructs have significant relationship on behavioral intention to use and this was also supported by Zhang and Li's findings in 2007. Zhang and Li [36] pointed out that negative affect is easier to measure and investigate compared to positive affect. It was believed that negative affect creates impacts on knowledge worker's performance and their intention to use a technology. However, this study outcome produces a new finding where the results show that negative affect has no impact on individuals' perceived usefulness on the knowledge-sharing tools, whereas the results for attitude toward knowledge-sharing tools usage aligned with past literature works [4, 6]. Negative affect has a strong impact on behavioral intention usage of KS tools in the ATA model. From the findings, we know that knowledge workers use knowledge-sharing tools to perform their daily task in work, and the results gather their affect states after interacting with the tools. From the study, we conclude that if individuals have a strong negative influence on their behavioral

**Endogenous latent variable** *R***<sup>2</sup>** *t***-values** ATT\_G 0.628542 14.3111 BI\_J 0.625851 16.30823 PU\_I 0.450406 6.329501 PEOU\_H 0.360258 6.716182

**No Hypothesis Results** 1. There is a significant relationship between PA and BI. Supported 2. There is a significant relationship between PA and PU. Supported 3. There is a significant relationship between PA and PEOU. Supported 4. There is a significant relationship between NA and PU. Not supported 5. There is a significant relationship between NA and PEOU. Supported 6. There is a significant relationship between NA and BI. Supported 7. There is a significant relationship between PEOU and PU. Supported 8. There is a significant relationship between PU and ATT. Supported 9. There is a significant relationship between PEOU and ATT. Supported 10. There is a significant relationship between ATT and BI. Supported

> Angela Lee Siew Hoong1 \*, Lip Sam Thi<sup>2</sup> and Mei-Hua Lin3

\*Address all correspondence to: angelal@sunway.edu.my

1 School of Science and Technology, Department of Computing and Information Systems, Sunway University, Malaysia

2 School of Business Management, Universiti Utara Malaysia, Malaysia

3 School of Science and Technology, Department of Psychology, Sunway University, Malaysia
