• Journal of Information Technology Services
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• v.23 no.1
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• pp.11-25
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• 2024

In the field of information security management systems, one of the representative certifications in Korea is ISMS-P certification, and internationally, ISO/IEC 27001 certification is recognized. When companies acquire both ISMS-P (or ISMS) and ISO/IEC 27001 certifications, budget and manpower are duplicated in similar areas. Therefore, it is necessary for the company to choose and invest in a certification that is suitable for its conditions. This paper proposes a strategy for obtaining information security management system certification that is suitable for the characteristics of the company, allowing for effective information security management based on the company's conditions. To achieve this, data were collected from the Ministry of Science and ICT's Information Security Disclosure System (ISDS), the Korea Internet & Security Agency (KISA), and the Financial Supervisory Service's Data Analysis, Retrieval and Transfer System (DART), and Probit regression analysis was conducted. During the Probit regression analysis, the relationships between seven independent variables and five cases of ISMS-P (or ISMS) acquisition, ISMS-P acquisition, ISMS acquisition, ISO/IEC 27001 acquisition, and both ISMS-P (or ISMS) and ISO/IEC 27001 acquisition were analyzed. The analysis results revealed the relationship between company characteristics, including industry, and certification acquisition in the ISMS field. Through this, strategies for certification acquisition based on company types could be suggested.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.3
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• pp.231-241
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• 2019

Web Usage Mining (WUM) is one part of Web mining and also the application of data mining technique. Web mining technology is used to identify and analyze user's access patterns by using web server log data generated by web users when users access web site. So first of all, it is important that the data should be acquired in a reasonable way before applying data mining techniques to discover user access patterns from web log. The main task of data acquisition is to efficiently obtain users' detailed click behavior in the process of users' visiting Web site. This paper mainly focuses on data acquisition stage before the first stage of web usage mining data process with activities like data acquisition strategy and field extraction algorithm. Field extraction algorithm performs the process of separating fields from the single line of the log files, and they are also well used in practical application for a large amount of user data.

• Knowledge Management Research
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• v.12 no.3
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• pp.73-96
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• 2011

Recent market saturation makes the local retailers consider an attempt to innovate the market with the retailer's brand. This is the retailers' efforts to expand the market control through the enhancement of private brands. As the competition among manufacturers extends to the competition between manufacturers and retailers, the marketing knowledges of manufacturers need to be diversified to the ones that can be applied to the manufacturers and retailers due to their bilateral competition. This research concentrates on the customer acquisition strategy (attack strategy) and customer retention strategy (defense strategy) in the place of both sides of manufacturers and retailers. Also this research targets to develop the differential marketing strategies for target market's National Brand(NB)/Private Brand(PB) purchase by analyzing individual customer's purchase probability on repurchase and switch-purchase of NB and PB. This study is based on the data of frequently consumed product, tomato ketchup on scanner panel from the ERIM data of University of Chicago, USA. This study compares and analyzes the NB and PB repurchases and switch-purchase of 4 types. The comparisons provide the informations that which factors should be managed for the attack strategy, the defense strategy, and the differential marketing strategies both for manufacturers and retailers. This research is expected to contribute on cumulating the industrial knowledges of retailers' and manufacturers' survival strategy, expecially focusing on the effect of marketing factors and consumer-characteristic factors.

• Journal of Information Technology Applications and Management
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• v.25 no.1
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• pp.1-17
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• 2018

This study presents a research model that demonstrates the dominant design technology strategy for developing and securing dominant design technology based on open innovation. For this purpose, this study developed a strategic model for the development and acquisition of design technology, production technology, and production system of propeller which satisfies the requirements of ship propulsion system required by ship owners and shipbuilders. By studying large propellers for ships, it is possible to embody a strategic model that can be used as a technology development strategy of dominant design that is effective in technology field of other industries. In this study, HSP (High Skewed Propeller) strategy of Hyundai Heavy Industries, which occupies the largest global market share (47.5%, 2007) for more than 30 years until now, is analyzed as a successful case to verify this strategic model. The development and acquisition strategy model of dominant design technology presented in this study consists of four stages : dominant design project strategy, dominant design engineering technology strategy, dominant design production technology strategy, and dominant design production system strategy. The strategic model summarizes the key activities at each stage. In addition, the steps and core activities of this strategic model were confirmed through the case study. As a technology development strategy of HSP products, Hyundai Heavy Industries utilized open innovation technology to cooperate with outside, that is, collaborative research and development with KAIST (Korea Advanced Institute of Science and Technology) research team, and succeeded in achieving technology development of dominant design of HSP products by linking it with HSP technology development and acquisition strategy.

• Asia pacific journal of information systems
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• v.30 no.4
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• pp.879-918
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• 2020

One of the challenges faced by Talent Acquisition teams today pertains to the acquisition of human resources by matching job descriptions and skillsets desired. It is more so in the case of competitive sectors like the Indian IT sector. There can be various channels for Talent Acquisition and accordingly, the cost and benefits might vary. However, the consequences of a mismatch have an impact on the quality of deliverables, high recruitment expenses and loss of revenue for the organization. With increased and diverse sources of data that are available to organizations today, there is ample opportunity to apply analytics for informed decision making in this field. This paper reveals useful insights that help streamline the Talent Acquisition process in the Indian IT Industry. The paper adopts a data-centric approach to examine the critical determinants for efficient and effective Talent Acquisition process in IT organizations. Selected supervised machine learning algorithms are applied for the analysis of the dataset. The study is likely to help organizations in reassessing their talent acquisition strategy with respect to key parameters like expected cost to company (CTC), candidate sourcing channels and optimal joining period.

• Journal of Distribution Science
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• v.18 no.5
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• pp.71-81
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• 2020

Purpose: This case study illustrates the successful entry of Saudi Aramco in the Korean market and how it grows to become one of the world's largest integrated energy enterprises. Research design, data and methodology: This case investigates diverse secondary sources to examine the entry strategy of Aramco in Korea, such as several interviews including public and anonymous dialogues, periodicals, dispatches (i.e. news articles and magazines), annual reports, industrial reports, and others. Results: The main concern for the international strategic approaching of Saudi Aramco is to enter into Korean market by joint venture with SsangYong Oil (today's S-Oil Corporation) in 1991 and finally, ending by Acquisition of S-Oil in 2015. This acquisition of local No.3 company, S-Oil, in Korea is the successful case in Asian Markets overcoming liability of foreignness. Moreover, Saudi Aramco's global distribution strategy through localization in the Korean market is appropriate given the market conditions, timing, effectiveness, and efficiency by sharing their resources and collaborating. Conclusions: It would be valuable, unique, and real story to analyze global leading company's entry and globalization strategy in overseas market. In addition, this study provides decision-makers with a significant and more strategic implication for the overseas expansion of businesses.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.123-129
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• 2020

The objective of this study is to examine the differentiated influence of sell-side advisors and buy-side advisors on mergers and acquisitions (M&A). Unlike prior studies on M&A advisors, the study addresses different roles of target and acquirer advisors, and explores their influences on the cumulative abnormal returns (CAR) and acquisition premiums with an empirical analysis of longitudinal data of M&As conducted by Japanese listed firms except financial companies from 1995 to 2012. M&A data were obtained from the Securities Data Corporation's (SDC) database, and the individual firm data were collected from the Nikkei Economic Electronic Databank System (NEEDS), which provides a wide range of corporate information including financial status, operational performance, and strategy. Using a sample of 452 cases for the CAR and 498 cases for the analysis of acquisition premiums, the empirical results support the hypotheses of the target advisor's positive association with CAR and acquirer advisor's positive association with acquisition premiums. The findings of this study indicate the target advisor's positive contribution to the success of acquisition process and performance, and acquirer advisor's negative influence on the deal progress. The study provides theoretical implications on M&A research and practical insights into the investment banking industry.

• Journal of Intelligence and Information Systems
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• v.20 no.3
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• pp.151-171
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• 2014

Firms today have sought management effectiveness and efficiency utilizing information technologies (IT). Numerous firms are outsourcing specific information systems functions to cope with their short of information resources or IT experts, or to reduce their capital cost. Recently, Software-as-a-Service (SaaS) as a new type of information system has become one of the powerful outsourcing alternatives. SaaS is software deployed as a hosted and accessed over the internet. It is regarded as the idea of on-demand, pay-per-use, and utility computing and is now being applied to support the core competencies of clients in areas ranging from the individual productivity area to the vertical industry and e-commerce area. In this study, therefore, we seek to quantify the value that SaaS has on business performance by examining the relationships among firm strategies, SaaS technology maturity, and business performance of SaaS providers. We begin by drawing from prior literature on SaaS, technology maturity and firm strategy. SaaS technology maturity is classified into three different phases such as application service providing (ASP), Web-native application, and Web-service application. Firm strategies are manipulated by the low-cost strategy and differentiation strategy. Finally, we considered customer acquisition as a business performance. In this sense, specific objectives of this study are as follows. First, we examine the relationships between customer acquisition performance and both low-cost strategy and differentiation strategy of SaaS providers. Secondly, we investigate the mediating and moderating effects of SaaS technology maturity on those relationships. For this purpose, study collects data from the SaaS providers, and their line of applications registered in the database in CNK (Commerce net Korea) in Korea using a questionnaire method by the professional research institution. The unit of analysis in this study is the SBUs (strategic business unit) in the software provider. A total of 199 SBUs is used for analyzing and testing our hypotheses. With regards to the measurement of firm strategy, we take three measurement items for differentiation strategy such as the application uniqueness (referring an application aims to differentiate within just one or a small number of target industry), supply channel diversification (regarding whether SaaS vendor had diversified supply chain) as well as the number of specialized expertise and take two items for low cost strategy like subscription fee and initial set-up fee. We employ a hierarchical regression analysis technique for testing moderation effects of SaaS technology maturity and follow the Baron and Kenny's procedure for determining if firm strategies affect customer acquisition through technology maturity. Empirical results revealed that, firstly, when differentiation strategy is applied to attain business performance like customer acquisition, the effects of the strategy is moderated by the technology maturity level of SaaS providers. In other words, securing higher level of SaaS technology maturity is essential for higher business performance. For instance, given that firms implement application uniqueness or a distribution channel diversification as a differentiation strategy, they can acquire more customers when their level of SaaS technology maturity is higher rather than lower. Secondly, results indicate that pursuing differentiation strategy or low cost strategy effectively works for SaaS providers' obtaining customer, which means that continuously differentiating their service from others or making their service fee (subscription fee or initial set-up fee) lower are helpful for their business success in terms of acquiring their customers. Lastly, results show that the level of SaaS technology maturity mediates the relationships between low cost strategy and customer acquisition. That is, based on our research design, customers usually perceive the real value of the low subscription fee or initial set-up fee only through the SaaS service provide by vender and, in turn, this will affect their decision making whether subscribe or not.

• Wind and Structures
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• v.37 no.5
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• pp.383-397
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• 2023

In the Structural Health Monitoring (SHM) system of civil engineering, data missing inevitably occurs during the data acquisition and transmission process, which brings great difficulties to data analysis and poses challenges to structural health monitoring. In this paper, Convolution Neural Network (CNN) is used to recover the nonstationary wind speed data missing randomly at sampling points. Given the technical constraints and financial implications, field monitoring data samples are often insufficient to train a deep learning model for the task at hand. Thus, simulation combined transfer learning strategy is proposed to address issues of overfitting and instability of the deep learning model caused by the paucity of training samples. According to a portion of target data samples, a substantial quantity of simulated data consistent with the characteristics of target data can be obtained by nonstationary wind-field simulation and are subsequently deployed for training an auxiliary CNN model. Afterwards, parameters of the pretrained auxiliary model are transferred to the target model as initial parameters, greatly enhancing training efficiency for the target task. Simulation synergy strategy effectively promotes the accuracy and stability of the target model to a great extent. Finally, the structural dynamic response analysis verifies the efficiency of the simulation synergy strategy.

• Smart Structures and Systems
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• v.15 no.4
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• pp.1019-1039
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• 2015

Shanghai Tower is a composite structure building with a height of 632 m. In order to verify the structural properties and behaviors in construction and operation, a structural health monitoring project was conducted by Tongji University. The monitoring system includes sensor system, data acquisition system and a monitoring software system. Focusing on the health monitoring in construction, this paper introduced the monitoring parameters in construction, the data acquisition strategy and an integration structural health monitoring (SHM) software. The integration software - Structural Monitoring/ Analysis/ Evaluation System (SMAE) is designed based on integration and modular design idea, which includes on-line data acquisition, finite elements and dynamic property analysis functions. With the integration and modular design idea, this SHM system can realize the data exchange and results comparison from on-site monitoring and FEM effectively. The analysis of the monitoring data collected during the process of construction shows that the system works stably, realize data acquirement and analysis effectively, and also provides measured basis for understanding the structural state of the construction. Meanwhile, references are provided for the future automates construction monitoring and implementation of high-rise building structures.