• Korean small business review
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• v.41 no.3
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• pp.1-22
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• 2019

The purpose of this research was to investigate the impact of the partner types (supplier, customer, competitor, research institution, more than one partner type) for SMEs on radical and incremental innovation. Another purpose was to examine how the relation varies according to the technological intensity of an industry to which the focal firm belongs. To test the hypotheses, we used the 'KIS(Korean Innovation Survey) 2014' data and the empirical analysis was done with the effective survey from 3,846 Korean SMEs. We employed STATA 14 for validity, confirmatory factor analysis, and binary logistic regression analysis. The results revealed that, when viewed the entire manufacturing SMEs, cooperation with suppliers, customers and research institutes has all been shown to have a positive effect on the radical and gradual innovations of SMEs. However, The relationship between partner type and radical innovation has been significantly different depending on the technical intensity of the industry. When cooperating with suppliers, the impact on radical innovation of SMEs was significant only in low-tech and medium-low tech industries. In contrast, when working with customers, the impact on the radical innovation of SMEs was significant only in the high-tech, medium-high tech, and medium-low tech industries, except for low tech industries. Meanwhile, although cooperation with competitors has a positive effect on radical innovation, this has been only significant in the medium-high tech industries.

• The Journal of Bigdata
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• v.7 no.2
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• pp.153-172
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• 2022

Online shopping has transformed and rapidly grown the entire market at the forefront of wholesale and retail services as an effective solution to issues such as digital transformation and social distancing policy (COVID-19 pandemic). Small business owners, who form the majority at the center of the online shopping industry, are constantly collecting policy changes and market trend information to overcome these problems and use them for marketing and other sales activities in order to overcome these problems and continue to grow. Objective and refined information that is more closely related to the business is also needed. Therefore, in this paper, through the collection and analysis of big data information, which is the core technology of digital transformation, key variables are set in product classification, sales trends, consumer preferences, and review information of online shopping malls, and a method of using them for competitor comparison analysis and business sustainability evaluation has been prepared and we would like to propose it as a service. If small and medium-sized businesses can benchmark competitors or excellent businesses based on big data and identify market trends and consumer tendencies, they will clearly recognize their level and position in business and voluntarily strive to secure higher competitiveness. In addition, if the sustainable growth of the online shopping mall operator can be confirmed as an indicator, more efficient policy establishment and risk management can be expected because it has an improved measurement method.

• Journal of Intelligence and Information Systems
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• v.24 no.3
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• pp.67-88
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• 2018

Until recently, as we recognize the significance of sustainable growth and competitiveness of small-and-medium sized enterprises (SMEs), governmental support for tangible resources such as R&D, manpower, funds, etc. has been mainly provided. However, it is also true that the inefficiency of support systems such as underestimated or redundant support has been raised because there exist conflicting policies in terms of appropriateness, effectiveness and efficiency of business support. From the perspective of the government or a company, we believe that due to limited resources of SMEs technology development and capacity enhancement through collaboration with external sources is the basis for creating competitive advantage for companies, and also emphasize value creation activities for it. This is why value chain network analysis is necessary in order to analyze inter-company deal relationships from a series of value chains and visualize results through establishing knowledge ecosystems at the corporate level. There exist Technology Opportunity Discovery (TOD) system that provides information on relevant products or technology status of companies with patents through retrievals over patent, product, or company name, CRETOP and KISLINE which both allow to view company (financial) information and credit information, but there exists no online system that provides a list of similar (competitive) companies based on the analysis of value chain network or information on potential clients or demanders that can have business deals in future. Therefore, we focus on the "Value Chain Network System (VCNS)", a support partner for planning the corporate business strategy developed and managed by KISTI, and investigate the types of embedded network-based analysis modules, databases (D/Bs) to support them, and how to utilize the system efficiently. Further we explore the function of network visualization in intelligent value chain analysis system which becomes the core information to understand industrial structure ystem and to develop a company's new product development. In order for a company to have the competitive superiority over other companies, it is necessary to identify who are the competitors with patents or products currently being produced, and searching for similar companies or competitors by each type of industry is the key to securing competitiveness in the commercialization of the target company. In addition, transaction information, which becomes business activity between companies, plays an important role in providing information regarding potential customers when both parties enter similar fields together. Identifying a competitor at the enterprise or industry level by using a network map based on such inter-company sales information can be implemented as a core module of value chain analysis. The Value Chain Network System (VCNS) combines the concepts of value chain and industrial structure analysis with corporate information simply collected to date, so that it can grasp not only the market competition situation of individual companies but also the value chain relationship of a specific industry. Especially, it can be useful as an information analysis tool at the corporate level such as identification of industry structure, identification of competitor trends, analysis of competitors, locating suppliers (sellers) and demanders (buyers), industry trends by item, finding promising items, finding new entrants, finding core companies and items by value chain, and recognizing the patents with corresponding companies, etc. In addition, based on the objectivity and reliability of the analysis results from transaction deals information and financial data, it is expected that value chain network system will be utilized for various purposes such as information support for business evaluation, R&D decision support and mid-term or short-term demand forecasting, in particular to more than 15,000 member companies in Korea, employees in R&D service sectors government-funded research institutes and public organizations. In order to strengthen business competitiveness of companies, technology, patent and market information have been provided so far mainly by government agencies and private research-and-development service companies. This service has been presented in frames of patent analysis (mainly for rating, quantitative analysis) or market analysis (for market prediction and demand forecasting based on market reports). However, there was a limitation to solving the lack of information, which is one of the difficulties that firms in Korea often face in the stage of commercialization. In particular, it is much more difficult to obtain information about competitors and potential candidates. In this study, the real-time value chain analysis and visualization service module based on the proposed network map and the data in hands is compared with the expected market share, estimated sales volume, contact information (which implies potential suppliers for raw material / parts, and potential demanders for complete products / modules). In future research, we intend to carry out the in-depth research for further investigating the indices of competitive factors through participation of research subjects and newly developing competitive indices for competitors or substitute items, and to additively promoting with data mining techniques and algorithms for improving the performance of VCNS.

• Archives of design research
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• v.14 no.4
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• pp.77-85
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• 2001

In order to sustain competitive advantage through strategic product differentiation in global market, this research aims to establishment of strategic design conditions for domestic manufacturing firms through the means of product image alignment and positioning, using visual character of product as the foundation for establishing corporate image. Case studies on how globally successful multinational companies manage design strategy and corporate culture uniformly for coherent product image management are reviewed. To establish product image alignment methodology for manufacturing firms, the criteria for product image positioning and aligned product image development process are developed in three stages. First, in image positioning stage, it is important to set the direction for corporate image and design strategy by identifying consumer needs through market trends analysis and forecasting as well as comparative positioning of the analysis results of the firms's own corporate image and that of the competitor's. Second, in awareness building stage, before building the product image alignment, firm-wide shared awareness of differentiated corporate and product image, establishment of designer's role as the consolidated manager of product image, sharing form language, and building the infrastructure for defining form information should be preceded. Third, in managing the aligned product image stage, the condition for setting up image information management guideline, management of decision making process for arriving at logical decisions on product form, development of guideline for increasing efficiency and its evaluation system, and co-development of related design should be induced. Further research on the product image alignment with corporate image should be conducted through various empirical studies on image and form, building an information system of related design language, and continuous assessment and management of applied solutions.

• Asia pacific journal of information systems
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• v.17 no.2
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• pp.1-28
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• 2007

The success of new product development is a key factor for getting competitive advantages. Marketing research has been investigating marketing capability, manufacturing technical capability, cross-functional integration, market knowledge competence, market orientation, and competitive environment as the key success factors of new product development. Recently, the role of IT infrastructure in enhancing new product advantage is assumed in the literature. However, the empirical studies on the role of IT infrastructure are lacking. The purpose of this study is to empirically exam the impacts of IT infrastructure on new product competitive advantage. In this study, IT infrastructure is conceptualized as the flexibility of IT infrastructure. Based on previous research, a conceptual model is established by incorporating the direct impact of IT infrastructure flexibility and its indirect impact through the key success factors on new product development. To empirically test the research model, data are surveyed from a pair of IS department and Marketing department of 92 consumer goods manufacturers. By employing PLS technique, the measurement reliability and reliability of research variables are tested and the path analysis is conducted to do the hypothesis testing. The path analysis shows that IT infrastructure flexibility has no direct effect on new product advantage, However, the indirect effect of IT infrastructure is found, which is mediated by marketing capability, manufacturing technical capability, cross-functional integration, and market orientation respectively. Hence, The flexible IT infrastructure increases cross-functional integration (H1), market orientation (H3), marketing capability (H5), and manufacturing technical capability (H6). All success factors of new product development excepts for competitive environment have a positive association with new product competitive advantages (from H10 to H14). Finally, the path from IT infrastructure flexibility to cross-functional integration, to market orientation, to market knowledge capability, and to new product advantage is found as the strongest path. These results indicate that the flexible IT infrastructure enhances information sharing with multiple departments and collaboration within a distributed innovation environment. The collaboration among departments positively affects the level of customer and competitor intelligence. The ability to obtain knowledge about customers and competitors makes firms to adapt to a changing environment quickly and to respond to customers' demands adequately. The flexible IT infrastructure also enhances the capability of organization to more rapidly respond to the changes in product design resulting in faster product development and reduced costs. In addition to, it enhances marketing capability by the two-way communications with customers and the analyses of various kinds of customer data. In brief, the finding of this study suggests that the flexible IT infrastructure allows many firms to pursue sustained new product competitive advantages. This study advances research on IT infrastructure in two important aspects. First, by Integrating marketing research and IS research, this study develops a conceptual model on the role of IT infrastructure in enhancing new product advantage. Second, it empirically finds the indirect impacts of IT infrastructure on new product advantage, which confirms the potential for the IS field to contribute to new product development research. The limitations of this study are also discussed to provide research directions for future research.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2007.11a
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• pp.109-113
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• 2007

This paper introduces a system, Simulation based Stochastic Markup Estimation System (S2ME), for estimating optimum markup for a project. The system was designed and implemented to better represent the real world system involved in construction bidding. The findings obtained from the analysis of existing assumptions used in the previous quantitative markup estimation methods were incorporated to improve the accuracy and predictability of the S2ME. The existing methods has four categories of assumption as follows; (1) The number of competitors and who is the competitors are known, (2) A typical competitor, who is fictitious, is assumed for easy computation, (3) the ratio of bid price against cost estimate (B/C) is assumed to follow normal distribution, (4) The deterministic output obtained from the probabilistic equation of existing models is assumed to be acceptable. However, these assumptions compromise the accuracy of prediction. In practice, the bidding patterns of the bidders are randomized in competitive bidding. To complement the lack of accuracy contributed by these assumptions, bidding project was randomly selected from the pool of bidding database in the simulation experiment. The probability to win the bid in the competitive bidding was computed using the profile of the competitors appeared in the selected bidding project record. The expected profit and probability to win the bid was calculated by selecting a bidding record randomly in an iteration of the simulation experiment under the assumption that the bidding pattern retained in historical bidding DB manifest revival. The existing computation, which is handled by means of deterministic procedure, were converted into stochastic model using simulation modeling and analysis technique as follows; (1) estimating the probability distribution functions of competitors' B/C which were obtained from historical bidding DB, (2) analyzing the sensitivity against the increment of markup using normal distribution and actual probability distribution estimated by distribution fitting, (3) estimating the maximum expected profit and optimum markup range. In the case study, the best fitted probability distribution function was estimated using the historical bidding DB retaining the competitors' bidding behavior so that the reliability was improved by estimating the output obtained from simulation experiment.

• Journal of Korea Society of Industrial Information Systems
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• v.22 no.4
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• pp.79-95
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• 2017

This Study Investigates Whether R&D Capabilities and Market Orientation have Significant Effects on Product Innovation Performance in Order to Enhance Customer Value and Technology Innovation Competitiveness Considering the Characteristics of Rapidly Changing Semiconductor Industry. In other Words, as in the Research Model, the Purpose of this Study is to Investigate the Causal Relationship between the Independent Variable, R&D Capability and Market Orientation, on Product Innovation Performance, which is a Dependent Variable, through the Moderating Variable of Technological Innovation Orientation. For this Study, we Conducted a Questionnaire Survey on the Employees of Development Companies in the Semiconductor Industry and Finally Collected 118 Valid Questionnaires. The Collected Data was Analyzed by Multiple Regression Analysis with Demographic Characteristics as Control Variable and Hierarchical Regression Analysis was Conducted with the Moderating Effects of Technological Innovation Orientation. The Results Showed that the Higher the R&D Intensity and the External Network Capacity, the Higher the Product Innovation Performance. Also, the Product Innovation Performance was Higher than the Customer Orientation and Competitor Orientation Among the Market Orientation. In Addition, only R&D Capability Confirms that Technology Innovation Orientation is Moderated. The Result of this Study is to Improve Understanding of R&D Capability and Market Orientation in Creating of Product Innovation Performance of Semiconductor Companies and to offer Valuable Research Data in Empirically Supporting that Technological Innovation Orientation is an Important Moderating Factor in Creating Firm's Product Innovation Performance and Sustainable Competitive Advantage.

• International Area Studies Review
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• v.14 no.2
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• pp.181-204
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• 2010

This study researched relationship between R&D capability(TC), Network capability(NC), International marketing activity(IMA) and effect to performance of Korean globalizing INNOBIZs. In former research, they found out that TC, NC, IMA effect to performance directly. But they didn't focus on the relationship between the variables and Korean INNOBIZs. Recently, Global environment of competition is getting more and more complicated. So even the companies develop the excellent product, the companies can not get superior performance than competitor as long as the company combine with IMA or NC. In this study, empirical analysis performed using covariance structural analysis for Korean INNOBIZs. As we know in former research, TC and IMA have a positive effect on performance directly. But NC does not have a direct effect on performance. Also we found out TC and NC intermediated by MC have positive effect on performance. This result is theoretically and practically suggestive that using the company developed NC in International IMA effect on Performance.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.655-660
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• 2022

This paper analyzes the problem of the economic order quantity (lot size) of a retailer in a two-stage supply chain consisting of a supplier, a retailer(distributor), and a customer. In this two-stage supply chain, the supplier permits the retailer to defer payment for a certain fixed period of time for the purchase cost to be paid by the retailer as a price differentiation strategy with his competitor. In addition, in the case of customer goods such as food and grain, it is common to see that end-customer demand is generally depend on the level of inventory displayed by the retailer. From this perspective, this paper analyzes the inventory problem of retailers under the assumption that the supplier may allow a certain period to suspend payments for the purchase of goods and the end customer demand is a function of the retailer's inventory level increasing with size. In this regard, we need to analyze how much the length of the grace period for product purchase costs affect the retailer's lot-sizing policy. Therefore, we formulate the retailer's annual net profit and analyze the effect of the length of credit period on the retailer's inventory policy numerically.

• Journal of the Korean Society of Costume
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• v.64 no.1
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• pp.136-151
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• 2014

This study systematically analyzed types of fashion brand application focusing on accounts created in Korea. While referring to 'Chanel' which has developed a fashion brand app for the first time in August of 2008, not only for App store by Apple Inc. of the greatest market share but also for Android market, the one and only competitor of App store, the study examined cases of fashion brand app in Korea and foreign countries which have been in service till August of 2013 since the year of 2008. To achieve the research goal, the study conducted a literature research and a case review, categorizing the app by their distinctive functions which were Basic Information, SNS, AR, LBS, Entertainment, Mobile Shopping and Live Streaming. As for the first function, Basic Information, it was considered to provide information on a brand such as prices, sizes and colors of products which should be the most fundamental function of a fashion brand. The function would include look book, catalogues, photographs and others of products, helping users of the app with their understanding on images and concepts of the brand. Second, SNS function was considered useful for its mobility and communication and with the help of theirs, the users share fashion information with each other. Third, AR function as in a filed of virtual reality would edit virtual objects to look real in an actual environment. This would eventually offer the users a chance to try for clothes virtually. The fourth function, LBS, would work with GPS to find a store closest from a present location. This would be a help when the users try to find stores holding promotion events or trails while hiking in mountains. The fifth Entertainment function would include all sorts of games and chances for the users to listen to music and keep fashion diaries. The sixth function, Mobile Shopping, would help the users purchase items online via the app as they would not visit a store in person. The seventh function, Live Streaming, would give the users chances to actually see fashion collections in real time, held all over the world in every season. Because of this function, not only fashion experts but also regular people have become able to enjoy the fashion shows. The distinctive characteristics of the fashion brand application discussed in the study will be a useful reference when any relevant fields try to design other new fashion brand application.