Search results

To create the expected value and benefits through open data, appropriate provision and usage of data are required simultaneously. However, the level of provision and usage of open data differs from country to country. Moreover, previous research on open data has only focused on either open data provision or usage. To fill the research gap, the purpose of this paper is threefold: first, to understand the current status of the provision and usage of open data; second, to identify patterns in the provision and usage of open data; and third, to provide appropriate future directions and guidelines for the transformation paths of each pattern.

The authors analyzed the data collected from open data portals of 13 countries that provide information on the provision and usage of open data together.

The authors identified four patterns of the provision and usage of open data, namely, availability-driven, government-driven, market-driven and interaction-driven patterns. Furthermore, three strategic paths of transformation reach a high level of open data provision and usage, namely, data provision-focused, data usage-focused and balanced transformation paths.

This study provides a foundation that enables researchers to build a holistic theory that can integrate fragmented and incomplete knowledge of open data and usage, particularly in the context of government.

Many studies have investigated the relationship between the adoption of open innovation and performance in large firms. However, limited research is available with regard to the use of open innovation in small and medium enterprises (SMEs). SMEs are important because of their contribution to innovation in almost all economies. The purpose of this paper is to extend the current literature by focusing on SMEs. Using complementarity and knowledge-based theories, this study develops three hypotheses to identify the effect of knowledge sourcing approaches for innovation on SMEs’ innovation performance.

Surveys collected from 196 SMEs in Korea were analyzed using the supermodularity function to test the hypotheses.

Results indicate that an external knowledge-oriented approach has no significant effect, whereas an internal knowledge-oriented (i.e. closed) approach has a positive effect on innovation performance. Interestingly, this study found that open innovation has a negative effect on SMEs’ innovation performance (i.e. both internal knowledge-oriented and external knowledge-oriented approaches have a substitutive relationship).

This study sheds new light on open innovation and knowledge management research by identifying the relationship between knowledge sourcing approaches for innovation, and innovation performance in SMEs. Practical implications highlight that open innovation could impede SMEs’ innovation performance.

In the data economy era, despite the tremendous effort of governments to actively provide and use open data, its effect on national performance such as competitiveness differs widely from country to country. A sufficient knowledge base and its appropriate management are important to effectively derive the potential value from open data. A country can implement multiple and equally viable means to effectively align open data with knowledge management, which lead to high national performance. However, previous studies lack consideration of the possibility of these various configurations. To fill the research gap, this study aims to investigate the configurational patterns constituted by government data openness and knowledge management for national competitiveness.

From the open innovation perspective, this study collected data from the global reports of 76 countries and examined them through fuzzy-set qualitative comparative analysis (fsQCA).

Four configurational patterns are identified, namely, coupled (outbound-focused)-, coupled (inbound-focused)-, inbound-focused-, and outbound-focused national competitiveness.

This study provides a foundation that enables researchers to build a holistic and balanced perspective that can manage open government data and develop knowledge management capability.

It is important for an IT service company (IS company) to fully take into account the differences in customer satisfaction across different customer groups. In this article, we consider three layers of customers in the client company. There are project directors who interface with and accept the final product (i.e. IT system) from the IS company, users who actually use the IT system for their daily operations, and finally operators who do maintenance works for the IT system. We propose that each customer group (i.e. project director, user, or operator) evaluates the IT systems success with a different set of criteria. Transaction relationship and partnership turn out to be important determinants for the project directors: task‐related and IS‐related output performances seem to be less influential. The reverse conclusion can be made for users and operators. One additional insight is that IS company’s efforts to understand its customer’s tasks and share risks with the customer company might have unexpected effects. Although the project directors seem to like such close involvement, it can be detrimental to the users’ satisfaction with the IS outsourcing projects.

The purpose of this paper is to present the North Korea policy pursued by the Moon Jae-in administration and discuss the possibility of a weakened alliance between South Korea and the USA.

This paper compares the North Korean policies and the ROK–US alliance under the Moon administration, analyzing the recent inter-Korean and North Korea–US summits, with a focus on the issues of denuclearization and establishing a peace regime.

This paper reveals that the approach taken by the Moon administration regarding North Korea is similar to that of North Korea and China, and that the ROK–US alliance is likely to weaken should there be any change concerning the North Korean nuclear issue.

Denuclearization takes place in accordance with the agreement between North Korea and the USA, there is a high likelihood of the ROK–US alliance weakening.

By using the annual time series data from 1986 to 2008 in South Korea (hereafter Korea) we will examine the possibility that the difference in trade liberalization is causal to the differentials in growth and measure the sensitivity of growth to changes in trade liberalization. For the estimation, we will use both alternative measures of trade liberalization; imports for the total factor cost of national income for trade openness (hereafter openness) and the sum of exports and imports for the total factor cost of national income for trade globalization (hereafter globalization). The regression results suggest that both openness and globalization make a substantial contribution towards Korea’s economic growth. In a comparison between these two indicators of trade liberalization, openness is more sensitive to growth. A negative and statistically significant error correction term implies that the null hypothesis of no co-integration is rejected when one period lag is used. The existence of co-integration means that openness and globalization policies can be targeted in order to bring about a desired long-run effect as well as a short run effect on growth.

A garment technical drawing system and its database construction methodology is introduced in this paper. The system consists of an application program and a modulized database system. The advantage of this system is that it is possible to construct a garment's partial technical drawing easily using this database system, and it enables the combination of any part of drawing stored in the database.

The purpose of this paper is to present a new strategic framework of Supply Chain Management (SCM) in the automobile industry. For our purpose, we first had studied about the structure of relationship between supplier and buyer in Korean automobile industry. With this study, we searched for factors which compose a strategy of SCM, and whether or not the companies’ performance that are influenced by specific SCM strategy factors. Of course, our study based on existing researches, especially Cox et al.(1995) and Venkatraman et al.(1992), but the existing researches is differentiated in this paper that is treated several power factors as resource, value, environment and relation. So, results of our paper are what a good strategy of SCM composed by these factors and how to adopt this strategy on global logistics. And our methodology has some using of statistics method by SPSS 14(v) such as factor analysis, reliability analysis, and SEM(Structural Equation Model) with AMOS.

The restructuring of shipping and shipbuilding companies in the midst of rapidly shrinking global shipping demand has become a prominent issue in Korea. In shipping finance, loan syndication featuring many creditors surges as the preferred option. However, increasing the numbers of creditors in the syndicate results in two opposite effects. First is the beneficial effect from their enhanced monitoring power. On the other hand, there is the adverse effect resulting from increased difficulty in coordination when syndicate members increase, particularly in bankruptcy. Our aim of this paper is to analyze the role of finance in the shipping and shipbuilder markets, and determine the theoretical optimal number of creditors for the shipping finance syndicate based on Bolton and Scharfstein (1996). The two issues above result from moral hazard and non-verifiability: coordination among many creditors for collection of bonds in case of default, and the enhancement of monitoring private benefit exploitation by the ship-owner during default. Considering the two conflicting forces result from an increase in creditor membership, we draw conclusions on determining the optimal number of creditors by considering trade-offs between these two factors: More creditors are preferred when the monitoring effect dominates. Otherwise, less creditors are preferred.