Hsiang‐kai Dong
Biographic Data
| ID | 4453037 |
|---|---|
| NAME | Hsiang‐kai Dong |
| GIVEN NAMES | Hsiang‐kai |
| FAMILY NAME | Dong |
| SIGNATURE | DONG H K |
| AFFILIATIONS | National Chung Cheng University |
| ORCID | 0000-0002-2354-5148 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 9 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Are Extrinsic Goals Detrimental to Public Service Motivation? A Panel Analysis Based in Taiwan
The relationship between utilitarian incentives and public service motivation (PSM) has long been a core issue in public administration research. Scholars have accumulated ample evidence regarding how the pursuit of monetary rewards can affect PSM, but we know relatively little about the effect of various non-monetary rewards on PSM. The pursuit of utilitarian incentives, in goal content theory (GCT), is referred to as extrinsic goals. The presen…
Public Employees' whistleblowing intention
Public employees' whistleblowing is an effective anti‐corruption means because they can provide rigorous evidence of wrongdoing in public organizations. However, whistleblowing may cause risks to the individuals and their organization, which discourage them from reporting. While the topic has been understudied, a few studies have adopted the theory of planned behavior (TPB) from psychology to gain insights into whistleblowing. However, these stud…
Using Deep Learning with Convolutional Neural Network Approach to Identify the Invasion Depth of Endometrial Cancer in Myometrium Using MR Images
Myometrial invasion affects the prognosis of endometrial cancer. However, discrepancies exist between pre-operative magnetic resonance imaging staging and post-operative pathological staging. This study aims to validate the accuracy of artificial intelligence (AI) for detecting the depth of myometrial invasion using a deep learning technique on magnetic resonance images. We obtained 4896 contrast-enhanced T1-weighted images (T1w) and T2-weighted …
Individual Risk Preference and Sector Choice
Prior research indicates that public employees are more risk averse than private employees. Little is known, however, about the causes of such differences. This study tries to examine the effects of the “self-select mechanism” and asks the following question: Do workers choose their sectors based on their risk preferences? Using data from the National Longitudinal Survey, this study finds that higher levels of risk aversion are predictive of a gr…
Individual Risk Preference and Sector Choice
Prior research indicates that public employees are more risk averse than private employees. Little is known, however, about the causes of such differences. This study tries to examine the effects of the “self-select mechanism” and asks the following question: Do workers choose their sectors based on their risk preferences? Using data from the National Longitudinal Survey, this study finds that higher levels of risk aversion are predictive of a gr…
Public Employees' whistleblowing intention
Public employees' whistleblowing is an effective anti‐corruption means because they can provide rigorous evidence of wrongdoing in public organizations. However, whistleblowing may cause risks to the individuals and their organization, which discourage them from reporting. While the topic has been understudied, a few studies have adopted the theory of planned behavior (TPB) from psychology to gain insights into whistleblowing. However, these stud…
Individual Risk Preference and Sector Choice
Prior research indicates that public employees are more risk averse than private employees. Little is known, however, about the causes of such differences. This study tries to examine the effects of the “self-select mechanism” and asks the following question: Do workers choose their sectors based on their risk preferences? Using data from the National Longitudinal Survey, this study finds that higher levels of risk aversion are predictive of a gr…
Using Deep Learning with Convolutional Neural Network Approach to Identify the Invasion Depth of Endometrial Cancer in Myometrium Using MR Images
Myometrial invasion affects the prognosis of endometrial cancer. However, discrepancies exist between pre-operative magnetic resonance imaging staging and post-operative pathological staging. This study aims to validate the accuracy of artificial intelligence (AI) for detecting the depth of myometrial invasion using a deep learning technique on magnetic resonance images. We obtained 4896 contrast-enhanced T1-weighted images (T1w) and T2-weighted …
Public Employees' whistleblowing intention
Public employees' whistleblowing is an effective anti‐corruption means because they can provide rigorous evidence of wrongdoing in public organizations. However, whistleblowing may cause risks to the individuals and their organization, which discourage them from reporting. While the topic has been understudied, a few studies have adopted the theory of planned behavior (TPB) from psychology to gain insights into whistleblowing. However, these stud…
Are Extrinsic Goals Detrimental to Public Service Motivation? A Panel Analysis Based in Taiwan
The relationship between utilitarian incentives and public service motivation (PSM) has long been a core issue in public administration research. Scholars have accumulated ample evidence regarding how the pursuit of monetary rewards can affect PSM, but we know relatively little about the effect of various non-monetary rewards on PSM. The pursuit of utilitarian incentives, in goal content theory (GCT), is referred to as extrinsic goals. The presen…
Business (3 works) · Economics (3 works) · Political science (2 works) · Public relations (2 works) · Public sector (2 works) · Actuarial science (1 work) · AI in cancer detection (1 work) · Artificial Intelligence (1 work) · Cancer (1 work) · Computer Science (1 work)