• Journal of the Korean Society of Safety
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• v.36 no.4
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• pp.62-70
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• 2021

Representative systematic accident analysis methods proposed so far include AcciMap, STAMP, and FRAM. This study used these three techniques to analyze a fire accident case that occurred during routine manufacturing work in a domestic chemical plant and compared the results. The methods used different approaches to identify the cause of the accident, but they all highlighted similar causal factors. In addition to technical issues, the three accident analysis methods identified factors related to safety education, risk assessment, and the operation of the process safety management system, as well as management philosophy and company culture as problems. The AcciMap and STAMP models play complementary roles because they use hierarchical structures, while FRAM is more effective in analyses centered on human and organizational functions than in technical analyses.

• Journal of Distribution Science
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• v.21 no.1
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• pp.53-63
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• 2023

Purpose: Big Data analytics (BDA) has been recognized to improve firm performance because it can efficiently manage and process large-scale, wide variety, and complex data structures. This study examines the determinants of Big Data analytics adoption toward marketing and financial performance of global logistic companies in Thailand. The research framework is adopted from the technology-organization-environment (TOE) model, including technological factors (relative advantages), organizational factors (technological infrastructure and absorptive capability), environmental factors (industry competition and government support), Big Data analytics adoption, marketing performance, and financial performance. Research design, data, and methodology: A quantitative method is applied by distributing the survey to 450 employees at the manager's level and above. The sampling methods include judgmental, stratified random, and convenience sampling. The data were analyzed by Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM). Results: The results showed that all factors significantly influence Big Data analytics adoption, except technological infrastructure. In addition, Big Data analytics adoption significantly influences marketing and financial performance. Conversely, marketing performance has no significant influence on financial performance. Conclusions: The findings of this study can contribute to the strategic improvement of firm performance through Big Data analytics adoption in the logistics, distribution, and supply chain industries.

• Journal of architectural history
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• v.33 no.1
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• pp.19-31
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• 2024

Jinhae is the oldest Western-style radial and grid city on the Korean Peninsula, and it also has the most defined structure to date, remaining largely unchanged and unlike any other in Korea. The Jinhae town plan was completed immediately after the signing of the Japan-Korea Treaty. Although the city of Jinhae was built by the Japanese, its overall organizational principle is clearly a radial-grid form that was established in the West. The Jinhae radial-grid planning was elaborately constructed with multiple layers of overlapping structures. It is the result of the application of geometry that creates symmetry and hierarchy in European countries, and the simultaneous consideration of road hierarchy and land form in the process of combining radial and grid forms. To reveal these points, four analyses are performed. First, the formation process of Western radial and grid streets is reviewed and compared to derive review points for Jinhae City. Second, the layout and geometric characteristics of radial streets are discussed. Third, the hierarchical characteristics and connections of grid streets are analyzed. The last part is a comparative analysis of the plan and the final realization.

• Asia-Pacific Journal of Business
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• v.14 no.4
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• pp.331-342
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• 2023

Purpose - This study aims to develop a valid and appropriate method for measuring the economic value of intangible cultural resources. Design/methodology/approach - Building upon the concepts explored in many studies on the total value regulation of public goods or environmental goods, which are non-market value commodities, with a focus on the intangible cultural property Arirang, this study aims to formulate a new economic value concept for cultural resources that contributes to the overall economic total value, including non-use value. Based on this foundation, the study aim to identify and apply the most efficient model(CVM) among economic value measurement methods, as suggested by Tietenberg (2003). Findings - This involves estimating economic value through consumer behavior, encompassing the use or experience of cultural resources, as well as utilizing statements to estimate economic methods through consumer surveys. Only by presenting individual resource economic values of cultural resources in objective figures can a foundation be established for creating budgets and organizational structures to promote projects and policies. Research implications or Originality - Appropriate decisions can then be made by comparing these values with the expected costs in the management and planning process.

• Journal of KIBIM
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• v.13 no.4
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• pp.74-84
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• 2023

Modern construction projects have stakeholders from various construction fields, highlighting the importance of efficient information sharing and collaboration. The expanding scope of Building Information Modeling (BIM), particularly in the domestic construction sector, necessitates a Common Data Environment (CDE). However, applying foreign commercial CDE solutions within the domestic context is challenging due to the difficulty of aligning them with the unique organizational structures and characteristics prevalent in the country. Furthermore, the information review and approval processes specified by ISO 19650 often fail to harmonize adequately with the domestic design procedures, limiting the full utilization of CDE advantages. This study endeavors to develop a Korean CDE collaborative platform based on ISO 19650, with a focus on adapting workflows and information container systems to the domestic context. Building upon the requirements of ISO 19650-based CDE workflows and information containers, this research involves an in-depth analysis of information generation, sharing, review, and approval processes within domestic design organizations, offering tailored CDE workflows and information container systems that align with the specific needs of the Korean construction industry.

• Asia pacific journal of information systems
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• v.18 no.1
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• pp.79-96
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• 2008

One of the roles of the Semantic Web services is to execute dynamic intra-organizational services including the integration and interoperation of business processes. Since different organizations design their processes differently, the retrieval of similar semantic business processes is necessary in order to support inter-organizational collaborations. Most approaches for finding services that have certain features and support certain business processes have relied on some type of logical reasoning and exact matching. This paper presents our approach of using imprecise matching for expanding results from an exact matching engine to query the OWL(Web Ontology Language) MIT Process Handbook. MIT Process Handbook is an electronic repository of best-practice business processes. The Handbook is intended to help people: (1) redesigning organizational processes, (2) inventing new processes, and (3) sharing ideas about organizational practices. In order to use the MIT Process Handbook for process retrieval experiments, we had to export it into an OWL-based format. We model the Process Handbook meta-model in OWL and export the processes in the Handbook as instances of the meta-model. Next, we need to find a sizable number of queries and their corresponding correct answers in the Process Handbook. Many previous studies devised artificial dataset composed of randomly generated numbers without real meaning and used subjective ratings for correct answers and similarity values between processes. To generate a semantic-preserving test data set, we create 20 variants for each target process that are syntactically different but semantically equivalent using mutation operators. These variants represent the correct answers of the target process. We devise diverse similarity algorithms based on values of process attributes and structures of business processes. We use simple similarity algorithms for text retrieval such as TF-IDF and Levenshtein edit distance to devise our approaches, and utilize tree edit distance measure because semantic processes are appeared to have a graph structure. Also, we design similarity algorithms considering similarity of process structure such as part process, goal, and exception. Since we can identify relationships between semantic process and its subcomponents, this information can be utilized for calculating similarities between processes. Dice's coefficient and Jaccard similarity measures are utilized to calculate portion of overlaps between processes in diverse ways. We perform retrieval experiments to compare the performance of the devised similarity algorithms. We measure the retrieval performance in terms of precision, recall and F measure? the harmonic mean of precision and recall. The tree edit distance shows the poorest performance in terms of all measures. TF-IDF and the method incorporating TF-IDF measure and Levenshtein edit distance show better performances than other devised methods. These two measures are focused on similarity between name and descriptions of process. In addition, we calculate rank correlation coefficient, Kendall's tau b, between the number of process mutations and ranking of similarity values among the mutation sets. In this experiment, similarity measures based on process structure, such as Dice's, Jaccard, and derivatives of these measures, show greater coefficient than measures based on values of process attributes. However, the Lev-TFIDF-JaccardAll measure considering process structure and attributes' values together shows reasonably better performances in these two experiments. For retrieving semantic process, we can think that it's better to consider diverse aspects of process similarity such as process structure and values of process attributes. We generate semantic process data and its dataset for retrieval experiment from MIT Process Handbook repository. We suggest imprecise query algorithms that expand retrieval results from exact matching engine such as SPARQL, and compare the retrieval performances of the similarity algorithms. For the limitations and future work, we need to perform experiments with other dataset from other domain. And, since there are many similarity values from diverse measures, we may find better ways to identify relevant processes by applying these values simultaneously.

• Journal of Korea Technology Innovation Society
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• v.13 no.1
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• pp.140-159
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• 2010

The main purpose of this study is to improve the understanding of the failures of venture companies. The study attempts to analyze the causes and the processes of venture failures and the different paths that led to such failures. For the research, 116 firms registered with the Korea Venture Business Association in 1997 were surveyed and traced in 2000. A questionnaire was sent to 105 companies that were operating at the time and 76 of them returned responses. In 2008, the 76 companies were re-traced, and it was found that 41 of them had failed while 35 survived. Through this process, a set of longitudinal data was gathered about the changes in strategies, environments, and organizational structures. Accordingly, t-test and ANOVA analysis were performed on the different causes and processes of venture failures, as well as the taxonomy according to the changes in circumstances. Empirical findings can be summarized as follows. Venture companies failed due to various reasons and there were very different failing processes. In addition, this study found that various failing paths existed among failed venture companies and different factors affected company failures. Considering these findings, this research is clearly advanced and can be distinguished from other existing researches in terms of the dynamic understanding of the failures of venture companies.

• The Journal of the Korea Contents Association
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• v.14 no.2
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• pp.161-171
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• 2014

This research aims to analyze the characteristics of the channel brand components, identities in accordance with the organizational strategies of the programmes, and brand structures of the comprehensive programming channels. The channels promote themselves mobilizing a variety of channel brand components and, ecxept Channel A, JTBC, TV Chosun, and MBN coined its names which are reminiscent of their parents corporations. The organizational strategies of the programmes are related with the channel identities. TV Chosun, for instance, branded themselves as 'conservative advocate' while focusing on news programs, and Channel A also takes conservative bias strategy focusing on the news programmes, especially after the 2012 presidential election. JTBC, however, organizes drama and entertainment programmes intensively being equivalent to that of terrestrial broadcasting programmes, and MBN positioned neutral and center with the news and cultural programmes. Referring to the brand architecture, which reveals the structural system of the brand, it is argued that TV Chosun and MBN take the integrated corporate brand strategy, while JTBC tries to mix and balance the brands of the parent corporation and its own independent one. Channel A, exceptionally, doesn't take a name of its parent corporation 'Dong-A'. In conclusion, it is argued that the comprehensive programming channels utilize and take the parent corporate brand, mixed brand, and independent brand in accordance with the brand power and circumstances of their own parent corporates.

• Journal of Intelligence and Information Systems
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• v.18 no.1
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• pp.71-90
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• 2012

Although it has been studied for a long time in various disciplines, most of control theories remain being developed by analyzing relatively simple tasks. Even recent research on control of information systems development explains only a small part of control phenomena observed in the real world projects. This research focuses on identifying and analyzing the concepts and structures in order to make them useful for understanding and explaining control of information systems development comprehensively This investigation utilizes the complementary relationship between views on control from organizational and economic perspectives. A conceptual framework developed by integrating previous research on control allows us to analyze the development of information systems for control purposes. The results of discussion about control mechanisms and network can be used as guidelines for designing control systems in real projects. Analysis of control networks shows that control of development projects requires quite complex networks intertwining a variety of controllers and controlees. The results of this research are expected to contribute to correcting the unbalanced status of IS research which has emphasized too heavily on planning and implementation, and deepening and widening our understanding about controlling development projects. Practitioners can use the results as guidelines for designing control mechanisms and networks, and get alerted by them about the agency risks inherent in outsourced developments.

• Journal of the Korea Institute of Building Construction
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• v.9 no.5
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• pp.163-172
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• 2009

As customers are becoming increasingly important in corporate management, there is a growing demand for migration to customer-focused organizational structures. Unlike the manufacturing industry, the construction industry is non-iterative and non-standardized. As a result, a wide variety of materials, human resources, technologies and equipment must be mobilized in complex work activities to complete a structure. Consequently, surprises are bound to occur as such work activities progress. This paper intends to study a strategy that is designed to improve customer services for apartment building units. It aims primarily to focus on cost control and brand management. Housing tenants and industry experts are surveyed to collect input for issue analysis. In addition, the external circumstances and internal capabilities of major builders in Korea are analyzed, and a SWOT analysis is performed regarding market conditions related to customer service. These analysis results are utilized to develop a strategy implementation plan over different time frames, and the operational resources available for such strategy implementation are analyzed in order to forecast its performance. This research will facilitate communication between construction companies in Korea and their customers by proposing a customer service improvement strategy for apartment building units, and is expected to provide resource material for a strategic analysis of efforts to fully incorporate customer requirements