Korea Information & Communication Contractors Association

This study is an examination of audience activity in reality television. This genre was chosen because the program producers encourage activity with Web-based video footage, photos, program summaries and speculations, online discussions, and voting. Hypotheses predicted that audience viewing motives would be significant predictors of identification, online post-exposure activity, and satisfaction. In general, the study's hypotheses were supported. Identification was predicted by watching for social learning and cognitive and emotional involvement. Engaging in online activity after watching was predicted by elaboration and feeling negative emotion. Viewing satisfaction was predicted by viewing motive; cognitive and emotional involvement; and, surprisingly, less online activity after watching.

International construction projects do not necessarily produce a high level of profit, as opposed to what is generally expected of high-risk international attempts. Overseas construction projects tend to have various risk factors that can diminish project profitability. This paper provides a comprehensive hierarchical framework to investigate the cause-and-effect relationships of various profit-influencing factors for international construction projects. After long-term profitability trends are analyzed based on a total of 3,487 international projects performed by Korean global contractors during the last 4 decades, case surveys of 126 overseas projects are conducted to draw the criticalities of each factor and to develop a hierarchical framework. An in-depth comparative case study of 20 additional international projects is also performed to verify the applicability of the hierarchical framework. Finally, we present significant distinctions between successful and failed projects from the comparative case study.

The performances of international construction projects are quite vulnerable to the conditions of the host country. Because going overseas requires a substantial amount of resources, the process of country evaluation and selection is important in a firm’s decision making. Despite an emerging interest and need for the systematic evaluation of countries, existing studies remain limited to case studies for one or a few countries because of the lack of multiple country databases. To overcome this limitation, this paper performs a quantitative analysis to classify countries in the construction industry. Based on international marketing theory and a literature review, the authors not only identify country classification variables but also suggest an analytical approach for diagnosing multidimensional aspects of countries in terms of country attractiveness and past project performance. To evaluate 32 countries, this study uses international institutional (construction industry–specific and country-specific) data and project-level data for Korean firms over the 25-year period from 1990 to 2014. Using a factor analysis and cluster analysis, this study classifies 32 countries according to four different factors (business environment, market opportunity, the possibility of project success, and market experience) and explains each country’s current status. Compared with existing country risk indices, which provide only one deterministic value, the proposed approach has the potential to capture construction industry–specific trends and actual project performance, enabling firms to not only evaluate and classify candidate countries in a timely manner but also to make better decisions when addressing country-related problems in the construction industry.

Energy infrastructure projects have caused various conflicts between stakeholders, particularly among the residents around construction sites and operators. The conflicts are largely due to the “Not in My Backyard” mentality associated with hazardous projects. In natural gas pipeline (NGP) projects, conflicts have been increasing with the increase in a wider range of linear projects, and they have been worsening because of the lack of clear countermeasures. This study proposes an effective conflict management strategy for NGP projects in Korea. To achieve the objectives, 25 conflict drivers were identified and 143 case-based surveys were conducted to determine the causal relationship between the drivers and the level of conflict using structural equation modeling (SEM). The SEM results show that factors such as economic (e.g., decreased value of the land), construction-related (e.g., disturbance due to using the original route and site), and safety-related characteristics (e.g., concerns about explosions and accidents) are the most important in understanding the causes of conflicts. Based on the causal relationship, five key strategies were proposed to manage the critical conflicts. This study can serve as a basis for implementing better conflict management plans in the future for a more sustainable project execution.

Landslides, which often occur on natural slopes of mountainous areas and artificial slopes around urban areas during summer in South Korea, are mostly caused by localized heavy rainfalls and typhoons. A survey was conducted, and the characteristics of landslide occurrences in different geological conditions—in this case, granite soils in Sangju area and gneiss soils in Yangu area—were analyzed. Soil characteristics in the landslide and non-landslide areas and the surroundings of each geological condition were also evaluated. Triggering factors, namely permeability coefficients (k), shear strength with cohesion (c), and internal friction angle (φ) of soils that are closely linked to landslides around weathered soil layers were extracted based on the examined characteristics and a statistics method. The study used regression analysis to formulate equations to estimate the permeability coefficients and shear strength. Ultimately, the permeability coefficients showed significant results in terms of void ratio (e), the effective size of grains (D10), and uniformity coefficient (cu), while shear strength correlated with the proportion of fine-grained soil (Fines), uniformity coefficient (cu), degree of saturation (S), dry weight density (rd), and void ratio (e).

An important issue for international businesses and academia is selecting countries in which to expand in order to achieve entrepreneurial sustainability. This study develops a country selection model for sustainable construction businesses using both objective and subjective information. The objective information consists of 14 variables related to country risk and project performance in 32 countries over 25 years. This hybrid model applies subjective weighting from industrial experts to objective information using a fuzzy LinPreRa-based Analytic Hierarchy Process. The hybrid model yields a more accurate country selection compared to a purely objective information-based model in experienced countries. Interestingly, the hybrid model provides some different predictions with only subjective opinions in unexperienced countries, which implies that expert opinion is not always reliable. In addition, feedback from five experts in top international companies is used to validate the model’s completeness, effectiveness, generality, and applicability. The model is expected to aid decision makers in selecting better candidate countries that lead to sustainable business success.

This paper describes a current differential relay for transformer protection that operates in conjunction with a core saturation detection-based blocking algorithm. The differential current for the magnetic inrush or over-excitation has a point of inflection at the start and end of each saturation period of the transformer core. At these instants, discontinuities arise in the first-difference function of the differential current. The second- and third-difference functions convert the points of inflection into pulses, the magnitudes of which are large enough to detect core saturation. The blocking signal is activated if the third-difference of the differential current is larger than the threshold and is maintained for one cycle. In addition, a method to discriminate between transformer saturation and current transformer (CT) saturation is included. The performance of the proposed blocking scheme was compared with that of a conventional harmonic blocking method. The test results indicate that the proposed scheme successfully discriminates internal faults even with CT saturation from the magnetic inrush, over-excitation, and external faults with CT saturation, and can significantly reduce the operating time delay of the relay.

This contribution illustrates how latecomer multinational companies (MNCs) have organized international production activities and maintained their competitive advantage under growing global competition. In doing so, an interdisciplinary approach, including an evolutionary theory of MNCs, global strategic management, and organizational and technological learning, is adopted through the case study of Samsung Electronics as a sample latecomer MNC. Samsung reveals that competition in the electronics industry in China is based on the diferential capabilities of players in the market, and their ability to transfer and improve these capabilities faster than competitors. Latecomer MNCs' foreign subsidiaries are under strong pressure to be actively involved in design and product development activities near to production facilities. In order to gain a sustainable competitive advantage, foreign subsidiaries of latecomer MNCs need to rapidly improve their product innovation capability by combining knowledge transferred from the MNC headquarters and global subsidiaries' networks with information about consumer requirements in the foreign location.

In South Korea, landslides are caused by localized heavy rainfall and typhoons, which often occur in the summer season at natural slopes in mountainous areas and artificial slopes in urban surroundings. Flow-type landslides frequently occur in mountainous areas. To evaluate flow-type landslides, it is essential to identify the physical characteristics of soil, giving focus to the soil on the top layers of various types of slope. This study conducts a survey and an analysis of the characteristics of landslides that occurred in the study area with different geological conditions of granite and gneiss. The characteristics of soil in the area and its surroundings that have or have not undergone landslides for every geological condition is also evaluated. Based on these characteristics and a statistics method, it extracts the triggering factors, permeability coefficients (k), and shearing strength with cohesion (c) and internal friction angel (φ) of soils that are highly related to landslides around weathered soil layers. As a result, the permeability coefficients show significant relevance with void ratio (e), the effective size of grains (D10), and uniformity coefficient (cu), while the shearing strength with the proportion of fine-grained soil (Fines), uniformity coefficient (cu), degree of saturation (S), dry weight density (rd), and void ratio (e). By obtaining this result, the study uses the regression analysis to suggest models to estimate the permeability coefficients and shearing strength. For the gneiss area, the statistics-based estimation model (SEM) is proposed as kgn = (1.488 × 10-02 × e) + (1.076 × D10) + (-1.629 × 10-04 × cu) - (1.893 × 10-02) for permeability coefficients; cgn = (-0.712 × Fines) + (-0.131 × cu) + 15.335 for cohesion; and φgn = (27.01 × rd) + (-12.594 × e) + 6.018 for internal frictional angle of soils. For the granite area, the statistics-based estimation model (SEM) is proposed as kgr = (8.281 × 10-03 × e) + (0.639 × D10) + (-2.766 × 10-05 × cu) - (9.907 × 10-03) for permeability coefficients; cgr = (-0.689 × Fines) + (-0.0744 × S) + 18.59 for cohesion; and φgr = (33.640 × rd) + (-0.875 × e) - 9.685 for internal frictional angle of soils. The use of statistics-based estimation models (SEMs) for landslide-triggering factors that trigger landslides will support the simple calculation of permeability coefficient and shearing strength (cohesion and internal frictional angle), only requiring information about the physical properties of soil at the natural slopes that have different geological features such as gneiss and granite areas.

Nowadays hot-line work is a general maintenance method in most countries. Specially, 765 kV vertical double circuit six bundle conductors transmission line constructed and operating in Korea, necessity of the live line work is grow up, due to the difficulties of the power suspension, most towers on the mountain, big sized towers and high costs of the generation constraints. The 765 kV transmission line will be maintained by live-line work for efficient operation. In order to maintain the 765 kV transmission lines safely by barehand work, preferentially, we should know the analysis of electrical safety level test. This paper studied about analysis of electrical safety level test in live line work at 765 kV vertical double circuit six bundle conductors transmission line.