• Journal of Korean Society for Quality Management
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• v.49 no.3
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• pp.421-431
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• 2021

Purpose: For improving outgoing quality, this study presents a novel sampling framework based on predictive analytics. Methods: The proposed framework is composed of three steps. The first step is the variable selection. The knowledge-based and data-driven approaches are employed to select important variables. The second step is the model learning. In this step, we consider the supervised classification methods, the anomaly detection methods, and the rule-based methods. The applying model is the third step. This step includes the all processes to be enabled on real-time prediction. Each prediction model classifies a product as a target sample or random sample. Thereafter intensive quality inspections are executed on the specified target samples. Results: The inspection data of three Samsung products (mobile, TV, refrigerator) are used to check functional defects in the product by utilizing the proposed method. The results demonstrate that using target sampling is more effective and efficient than random sampling. Conclusion: The results of this paper show that the proposed method can efficiently detect products that have the possibilities of user's defect in the lot. Additionally our study can guide practitioners on how to easily detect defective products using stratified sampling

• Journal of Information Technology Applications and Management
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• v.22 no.3
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• pp.129-141
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• 2015

The purpose of this study is to provide an explanation for the association between the characteristics of a network and the type of innovation by considering the effect of absorptive capacity. To do so, this study examined the moderating effects of absorptive capacity on the characteristics of network-innovation relationship in a technical-driven venture company. In order to obtain a better understanding about consequences caused by interfirm network, information was obtained from 169 Korean IT venture companies. Results confirmed that the network diversity is positively associated with exploration. Our results also suggested that the network strength is positively associated with exploitation. Finally, we found a positive two-way interaction between absorptive capacity and the network diversity-exploration relationship. Then, we discussed implications and directions for future research.

• Asia pacific journal of information systems
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• v.7 no.3
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• pp.89-108
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• 1997

This study, drawing upon research in innovation theory and Information systems, investigates the relationship among the organizational and innovation characteristics and the extent of internal and external diffusion of EDI in Korean firms. The data for this study were collected from 131 firms that have implemented EDI. The results of the correlation and the multiple regression analysis show that elapsed time and organizational compatibility are the major predictors of EDI diffusion. Specifically, the extent of communication, elapsed time and organizational compatibility are the major predictors of internal diffusion, while centralization, organizational compatibility and elapsed time are closely related to external diffusion of EDI. The results of this study imply that to facilitate the use of EDI widely within and beyond organizations, EDI system should be compatibile with the organizational tasks, values systems and existing information systems.

• The Journal of Economics, Marketing and Management
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• v.9 no.6
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• pp.1-13
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• 2021

Purpose: This research explores how domain passion in addition to entrepreneurial passion influences innovation strategy of venture, thus expanding the role of passion in choosing the path for innovation strategy. Passion is considered one of the most debated concepts in entrepreneurship, psychology, and marketing literatures, and yet a framework describing the integrated effect of entrepreneurial and domain passion on innovation strategy of venture is still lacking. Research data and methodology: Based on an inductive qualitative approach, the research addresses these issues via analyzing four unique cases of independently owned restaurants in Pakistan. The research focusses on the entrepreneurs who startup a venture out of a passion for a specific domain and have a passion for entrepreneurship either from start or it fuels up later during entrepreneurial process. Results: In the presence of both types of passions (Domain and entrepreneurial), the individuals will be inclined towards ambidexterity which differ in types from case to case according to different combinations and intensities (harmonious and obsessive) of passion. Conclusion: Research shows how innovation strategy of domain passion driven ventures is influenced by both entrepreneurial and domain passion, so to understand the role of passion in such cases integrated effect of both passions needs to be explored.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.7
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• pp.2354-2370
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• 2015

The advantages of employing SCTP-based Concurrent Multipath Transfer (CMT) have been demonstrated to be very useful for data delivery over multi-homed wireless networks. However, there is still significant ongoing work addressing some remaining limitations and challenges. The most important concern when applying CMT to data delivery is related to handling packet reordering and buffer blocking. Another concern on this topic is that current sender-based CMT solutions seldom consider balancing the overhead and sharing the load between the sender and receiver. This paper proposes a novel Receiver-driven Cooperation-based Concurrent Multipath Transfer solution (CMT-Rev) with the following aims: (i) to balance overhead and share load between the sender and receiver, by moving some functions including congestion and flow control from the sender onto receiver; (ii) to mitigate the data reordering and buffer blocking problems, by using an adaptive receiver-cooperative path aggregation model, (iii) to adaptively transmit packets over multiple paths according to their receiver-inspired sending rate values, by employing a new receiver-aware data distribution scheduler. Simulation results show that CMT-Rev outperforms the existing CMT solutions in terms of data delivery performance.

• Journal of the Korean Society of Safety
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• v.32 no.3
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• pp.83-89
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• 2017

A new technology has provided the nation, industry, society, and people with innovative and useful functions. National economy and society has been improved through this technology innovation. Despite the benefit of technology innovation, however, since technology society was sufficiently mature, the unintended side effect and negative impact of new technology on society and human beings has been highlighted. Thus, it is important to investigate a risk of new technology for the future society. Recently, the risks of the new technology are being suggested through a large amount of social data such as news articles and report contents. These data can be used as effective sources for quantitatively and systematically forecasting social risks of new technology. In this respect, this paper aims to propose a data-driven process for forecasting and assessing social risks of future new technology using the text mining, 4M(Man, Machine, Media, and Management) framework, and analytic hierarchy process (AHP). First, social risk factors are forecasted based on social risk keywords extracted by the text mining of documents containing social risk information of new technology. Second, the social risk keywords are classified into the 4M causes to identify the degree of risk causes. Finally, the AHP is applied to assess impact of social risk factors and 4M causes based on social risk keywords. The proposed approach is helpful for technology engineers, safety managers, and policy makers to consider social risks of new technology and their impact.

• Informatization Policy
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• v.28 no.3
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• pp.95-111
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• 2021

To achieve a data-driven policy decision-making system, the Ministry of Strategy and Finance has formed a marketing team and is actively building upon it. This system, currently under construction, will enable data-driven financial tasks beyond simple financial administration. The U.S. has already enacted The Foundations for Evidence-Based Policymaking Act in the process of similar pursuits. Since last year, the data-driven system administrative law has been enacted in Korea, and a legal framework has been established for data-driven administrative work. The next-generation budget accounting system to fulfill its role as a data-driven system needs public policy support to operate. Innovation and transformation are needed in various areas such as data management, legal system, and installation of related systems. Accordingly, it is very timely to analyze the financial systems and policies of advanced countries such as the U.S. and U.K., which already have established and operates such a financial system. By benchmarking and applying existing financial information systems to the next-generation budget accounting system, a better system will result. In this study, major developed countries, including the U.S., U.K., France, and Canada were benchmarked and analyzed in terms of the main elements of data governance: public policy, systems, legal framework, promotion system, and service level. It was discovered that the role and direction of the national fiscal policy system that the people favor should be able to respond quickly to the recent difficult economic crisis environment such as the digital transformation trend and COVID-19.

• Knowledge Management Research
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• v.24 no.4
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• pp.103-129
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• 2023

This study aims to analyze the network structure of technological innovation resources in SMEs, especially manufacturing firms, and reveal the differences between innovative and non-innovative firms. The study first analyzes connection centrality, flow-mediated centrality, and power centrality for all firms, and derives structural equivalence through CONCOR analysis. Then, the network structure of innovative and non-innovative firms was compared and analyzed according to innovation performance and creation. The results show that entrepreneurship and corporate innovation strategy have a significant impact on the analysis of technological innovation resources of all firms. According to the CONCOR analysis, the innovation resources of SMEs are organized into seven clusters, which can be defined as intrinsic product innovation resources, competitive advantage promotion resources, cooperative activities resources, information system resources, and innovation protection resources. The network analysis of innovative and non-innovative firms showed that innovative firms focused on enhancing competitiveness and improving quality, while non-innovative firms tended to focus more on existing products and customers. In addition, innovative firms had eight clusters, while non-innovative firms had six clusters, suggesting that innovative firms utilize resources diversely to pursue structural change and new value creation, while non-innovative firms operate technological innovation resources in a more stable form. This study emphasizes the importance of entrepreneurship and corporate innovation strategy in SMEs' technological innovation, and suggests that strong internal efforts are needed to increase innovativeness. These findings have important implications for strategy formulation and policy development for technological innovation in SMEs.

• Korea Trade Review
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• v.41 no.4
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• pp.41-59
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• 2016

Given the increasing importance of entrepreneurship in a nation's economic growth, this study empirically examined the effect of entrepreneurial behavior and environment on economic growth based on country level data. While previous studies have centered on entrepreneurship as a dominant variable that impacts economic growth, this study has extends the discussion by empirically testing the effects of two entrepreneurial variables, which are entrepreneurial behavior and entrepreneurial environment, on economic growth. Furthermore, the study attempted to examine the moderating effects of trade and innovation on the relation between the independent variables and economic growth. According to the panel analysis using data from GEM and World Bank, both entrepreneurial behavior and environment affected national economic growth, completely or partly. Results showed that opportunity-driven entrepreneurial behavior has a significant effect on economic growth, suggesting that qualitative aspect of entrepreneurial activities are critical to economic growth. The results also indicated that both trade and innovation have significant moderating effects on the relationship between governmental support program and economic growth.

• Journal of Korea Technology Innovation Society
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• v.20 no.4
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• pp.1192-1211
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• 2017

Today, innovation is driven by the challenge of existing paradigms and by cooperating with many other fields as well as their own, and thus the importance of open innovation is emphasized. This study analyzed the effect of open innovation on innovation activities and examined the role of organizational innovation in various innovation activities. For the analysis, Korean Innovation Survey (KIS) data from Science and Technology Policy Institute (STEPI) in 2016 was used. A total of 1,453 manufacturing firms were selected as a sample and logistic regression was performed. As a result, R&D cooperation has a positive effect on product innovation as the most representative means to acquire new knowledge and technology, while R&D cooperation has no relation with process innovation. In the case of organizational innovation, it strengthens positive effects of R&D cooperation on both product innovation and process innovation. Organizational change can be explained to play a positive role in new innovation activities, and then firms will need to consider organizational innovation in relation to R&D cooperation. This study is meaningful in that it analyzes the causal relationship and role in relation to various types of innovation, and will contribute to the firms to smoothly perform innovation activities in the future.