• Journal of Digital Convergence
• /
• v.7 no.1
• /
• pp.165-173
• /
• 2009

Many organizations require their current and perspective employees to obtain industry-based certification to maintain, and seek promotions. However, many certifications are simple knowledge based examinations that reward memorization instead of actual performance. With industry's increased reliance and demand to hire certified professionals, there is much more dishonesty, as well as incompetence, entering the system. This paper examines the issues and difficulties faced by organizations trying to hire IT staff based on current certification methodologies and recommends that IT assessments should be shifted from knowledge-based to performance-based examinations through the use of scenario-based simulations. It also demonstrates how to integrate simulations into certification and assessment testing using a proposed digital forensics certification as an example.

• The Journal of the Korea Contents Association
• /
• v.22 no.6
• /
• pp.247-260
• /
• 2022

In the Korean film industry, 'diversity film' was used interchangeably with 'low-budget film' and 'independent/art film'. As the concept of film is transformed into a multi-platform era that expands online and offline, the discussion of media diversity has become important in the film industry as well. At the same time, the movement to expand the inclusion and diversity of minorities in the film industry is also evident. Recently, the global film industry is developing by accepting inclusive film policies based on research and policies from a gender-perspective on female narratives and creatives. This study suggests policy directions to redefine the concept of diversity in the Korean film industry and to expand inclusiveness and diversity for minorities based on previous studies and discussions on the diversity of various dimensions surrounding the film industry.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.40 no.1
• /
• pp.5-19
• /
• 2015

Literatures on open innovation have two major limitations. First, either on a firm level or on an industry level did they analyze the open innovation issues. The results of a firm's innovation can be diffused through the whole network and the firm can learn back from the network knowledge. Prior literatures did not consider the feedback loop among firms and network in which the firms are involved. Second, most open innovation research had a static perspective on firm's innovation performance. Since the diffusion, spill-over and learning among network members are involved over time, the open innovation is intrinsically dynamic. From the dynamic perspective, we can appreciate the fundamental attributes of the open innovation network which involves diverse firms, research institutes, and universities. In order to overcome the limitations, we suggest a dynamic model for open innovation network. We build an agent-based model which consists of heterogeneous firms. The firms are connected through a scale-free network which is formed by preferential attachment. Through the diverse scenario of simulation, we collect massive data on the firm level and analyze them both on firm and industry level. From the analysis, we found that, on industry level, the overall performance of open innovation increases as the internal research capability, absorptive capacity, and learning curve coefficient increase. Noticeably, as the deprecation rate of knowledge increases, the variability of knowledge increases. From the firm level analysis, we found that the industry-level variables had a significant effect on the firm's innovation performance lasting through all the time, whereas the firm-level variables had only on the early phase of innovation.

• The Journal of Information Technology
• /
• v.5 no.1
• /
• pp.157-171
• /
• 2002

The evolution of transaction-based business model is upon us. The business models of many e-Marketplace in their early stages have typically been based on transaction fees. Many e-Marketplaces have even called out transaction revenues as a core element of their business plans. The transaction business represents the most simple of business models, but it does not provide a long-term sustain able advantage. For buyer's convenience, wide selection and test price hold appeal. For suppliers, the extended global market reach and direct access to customers and consortiums of customers is powerful. To maxmize leverage of these new e-marketplace, you must from both a buyer perspective as well as a supplier perspective. Also required is a strategy that takes in account all of the various e-Marketplace transaction standards and one that allows the easy accomodation to new e-marketplace as the market change. These new e-marketplace will need to be factored into the sales channel strategies. To be successful, integration with these e-marketplaces should occur at a complete business process level. This study explored independent and industry-backed current and future business models that are emerging in the B2B electronic market industry, as well as value -added service models for the Net market maker industry. E-Marketplaces will evolve into digital work environments in which real industry collaboration can occur.

• Safety and Health at Work
• /
• v.12 no.1
• /
• pp.1-9
• /
• 2021

This review article addresses the role of safety professionals in the diffusion strategies for predictive analytics for safety performance. The article explores the models, definitions, roles, and relationships of safety professionals in knowledge application, access, management, and leadership in safety analytics. The article addresses challenges safety professionals face when integrating safety analytics in organizational settings in four operations areas: application, technology, management, and strategy. A review of existing conventional safety data sources (safety data, internal data, external data, and context data) is briefly summarized as a baseline. For each of these data sources, the article points out how emerging analytic data sources (such as Industry 4.0 and the Internet of Things) broaden and challenge the scope of work and operational roles throughout an organization. In doing so, the article defines four perspectives on the integration of predictive analytics into organizational safety practice: the programmatic perspective, the technological perspective, the sociocultural perspective, and knowledge-organization perspective. The article posits a four-level, organizational knowledge-skills-abilities matrix for analytics integration, indicating key organizational capacities needed for each area. The work shows the benefits of organizational alignment, clear stakeholder categorization, and the ability to predict future safety performance.

• East Asian Journal of Business Economics (EAJBE)
• /
• v.10 no.4
• /
• pp.75-90
• /
• 2022

Purpose - This study aims to study the activation pattern of declining industries by applying the Gompertz growth model using available resources based on the theory of industrial life cycle, classifying declining industries among Korean manufacturing industries, and identifying resource input characteristics. Research design and methodology - This study was conducted by combining the Gompertz growth model that predicts the limit of output based on available resources under the industrial life cycle theory. Using Gompertz model, this study analyzed the life cycle of 39 Korean manufacturing industries from the perspective of domestic production, number of employees, and fixed assets Results - According to a life cycle analysis of 39 manufacturing industries in Korea, the computer, textile, and shoe industries were classified as declining industries. Among them, research on resource input characteristics on the shoe industry showed that domestic production and the number of employees decreased, while the proportion of domestic R&D personnel and the number of research departments gradually increased. Conclusion - Among the declining industries in Korea, the shoe industry is considered to revitalize the industry, that is, to extend the life of the declining industry by offshoring its production site and improving constitution with a "R&D center for global" support.

• The Journal of Information Systems
• /
• v.9 no.1
• /
• pp.87-108
• /
• 2000

The tourist industry is expecially one of the successful areas for the application of electronic commerce because it is an information-intensive and consumer-oriented industry where information and services play a large part in transaction processes. A electronic tourism market which integrates tourist information systems, reservation systems, and real-time broadcasting systems based on the Internet Web was developed by a collaborative team of Dongguk University and Daou Tech. Inc. with sponsorship of Kyongbuk province and Minister of Information Communications of Korea. Based on the development case of the system, this paper proposes development and operations strategies of electronic market in the tourist industry. The paper reviews the development strategies in the perspective of potential travelers, technology, cooperation among players, and development methodology. The paper also discusses strategies which are able to be employed as the guideline in order to operate the system.

• Journal of Information Technology Services
• /
• v.12 no.1
• /
• pp.189-199
• /
• 2013

As many organizations have adopted and implemented ERP systems, concerns about ERP performance also have increased. Former researches studied the ERP implementation of general large or medium size enterprises but there are not enough studies on ERP systems of a specific industry domain. In this paper, we introduce a case study on ERP adoption methodology of global leading company 'D' in shipbuilding and marine engineering industry. We examined ERP implementation background, method and scope and evaluated ERP performance in perspective of both quantitative and qualitative approaches. Quantitative research usually examines ERP performance based on financial statements and qualitative study typically examines organization change or improvement. As a result, ERP implementation in shipbuilding and marine industry can improve quantitative aspects such as cost, human resource and organization performance. As qualitative analysis, business process and tools can be unified and management transparency can be improved by ERP implementation. The result of this paper will be useful guideline for organizations which are considering ERP systems.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
• /
• v.26 no.4
• /
• pp.1-5
• /
• 2012

By using LED optical devices and improving the efficiency of optical devices as well as lighting apparatus for humans, LED lighting industry puts the purpose of manufacturing the main products related with information, electric, large-sized LCD BLU, automobile, shipbuilding, agriculture, medical treatment, environment, and telecommunications, etc. Moreover, the main products and the industrial lighting products are manufactured with fusion, as the result, LED lighting industry provides various effects as well as sources of technology based on practical use of LED technology in order to develop the industry from the perspective of the lower price, the higher efficiency, the higher function, the deeper reliance. In the future, not only the development of new LED technology but also the fusion and combination of digital IT technologies using wire-wireless communication, sensor, controller, and artificial intelligence will be expected to create new industrial fields.

• The Journal of Society for e-Business Studies
• /
• v.26 no.3
• /
• pp.1-20
• /
• 2021

As the Great Reset is discussed at the World Economic Forum due to the COVID-19 pandemic, artificial intelligence, the driving force of the 4th industrial revolution, is also in the spotlight. However, corporate research in the field of artificial intelligence is still scarce. Since 2000, related research has focused on how to create value by applying artificial intelligence to existing companies, and research on how startups seize opportunities and enter among existing businesses to create new value can hardly be found. Therefore, this study analyzed the cases of startups using the comprehensive framework of the multi-level perspective with the research question of how artificial intelligence based startups, a sub-industry of software, have different innovation patterns from the existing software industry. The target firms are gazelle firms that have been certified as venture firms in South Korea, as start-ups within 7 years of age, specializing in machine learning modeling purposively sampled in the medical, finance, marketing/advertising, e-commerce, and manufacturing fields. As a result of the analysis, existing software companies have achieved process innovation from an enterprise-wide integration perspective, in contrast machine learning technology based startups identified unit processes that were difficult to automate or create value by dismantling existing processes, and automate and optimize those processes based on data. The contribution of this study is to analyse the birth of artificial intelligence-based startups and their innovation patterns while validating the framework of an integrated multi-level perspective. In addition, since innovation is driven based on data, the ability to respond to data-related regulations is emphasized even for start-ups, and the government needs to eliminate the uncertainty in related systems to create a predictable and flexible business environment.