In 2001, the South Korean government passed the Anti-Corruption Act, which provides whistleblower protection in the public sector. The system of protections and rewards was strengthened in 2011 by the Act on the Protection of Public Interest Whistleblowers. Although these laws ensure immunity-and even financial incentives-for whistleblowers, whistleblowing is still not a straightforward task. Based on a survey of 5706 public officials in central government, this study examines how a range of factors influence whistleblowing intention: attitude; knowledge; colleague support; organizational support; and protection against retaliation. A number of demographic variables, relating to gender; marital status; length of tenure; duty; and position type are used as controls. The results of the ordered probit regression analysis show all of the independent variables to have a significant positive effect on whistleblowing intention. However, colleague support and organizational support have the biggest effects, while perceived protection against retaliation has the smallest. This suggests that there is a need for future government efforts to build upon the available legal protections by focusing on creating a supportive culture among colleagues and in the organization more generally.

This study uses semantic network analysis to investigate nuclear energy policy frames in six countries: USA, UK, Germany, France, Japan, and South Korea. It is suggested that semantic network analysis represents a useful tool to investigate policy frames in complex policy environments. The discourse of top-level decision makers is analyzed to highlight similarities and differences in policy frames and to identify the key policy arguments in the integrated network of all six countries. In total, 14 major policy arguments are identified, which relate to the three major frames of energy security, clean energy, and nuclear safety, along with the metaissue of economic growth. There are differences in the degree of emphasis on each of the frames in the six countries, and Germany can be seen to have diverged the most following the Fukushima accident, as the emphasis is on clean energy, to the exclusion of the other frames. In contrast, both the USA and Japan have framed the issues primarily in terms of nuclear safety and energy security, while the UK and France have stressed the economic growth frame, and Korea has prioritized nuclear safety.

We present an architecture for and prototype of a system for quickly detecting software problem recurrences. Re-discovery of the same problem is very common in many large software products and is a major cost component of product support. At run-time, when a problem occurs, the system collects the problem symptoms, including the program call-stack, and compares it against a database of symptoms to find the closest matches. The database is populated off-line using solved cases and indexed to allow for efficient matching. Thus problems that occur repeatedly can be easily and automatically resolved without requiring any human problem-solving expertise. We describe a prototype implementation of the system, including the matching algorithm, and present some experimental results demonstrating the value of automatically detecting re-occurrence of the same problem for a popular sofware product.

Taking the elusive definition of social enterprise as its starting point, this study seeks to understand the impact of government policies on the development of social enterprises in the national contexts of the UK and South Korea. The social construction of target populations is utilised as a theoretical framework in order to identify which factors influence government policy. A comparison of the two countries over a 14‐year period from 1997 to 2010 reveals that, despite very different contexts, governments in both countries have taken an instrumental approach to social enterprise. This tendency is more pronounced in Korea however, where government has limited the input of stakeholders and used an approval system to control access to the social enterprise name. The study concludes by recommending a more value‐oriented approach to social enterprise.

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