• Journal of Technology Innovation
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• v.24 no.1
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• pp.85-111
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• 2016

This paper examines the effects of prior industry experience, new product attributes and online customer review on new product sales. Different from prior researches on the volume and valence of customer review on online shopping, this paper investigated multiple factors on new product sales in online shopping mall. Based on 407 TV new products in China online shopping mall, we investigated the relationships of kew factors with new products sales. New products of Incumbent TV manufacturers outsell those of new entrants in TV market. Low initial price and low level of discount rate have positive relationships with new product sales. Technological superiority has positive effect on new product sales but the adoptions of new technological functions show different effects on sales. The volume of online consumer review also has positive relationship with new product sales. This paper suggest some theoretical and practical implications and future research directions.

• Asian-Australasian Journal of Animal Sciences
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• v.28 no.2
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• pp.290-302
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• 2015

Growing demand for sustainable production, increasing competition and consideration of health concerns have led the meat industries on a path to innovation. Meat industries across the world are focusing on the development of novel meat products and processes to meet consumer demand. Hence, a process innovation, like nanotechnology, can have a significant impact on the meat processing industry through the development of not only novel functional meat products, but also novel packaging for the products. The potential benefits of utilizing nanomaterials in food are improved bioavailability, antimicrobial effects, enhanced sensory acceptance and targeted delivery of bioactive compounds. However, challenges exist in the application of nanomaterials due to knowledge gaps in the production of ingredients such as nanopowders, stability of delivery systems in meat products and health risks caused by the same properties which also offer the benefits. For the success of nanotechnology in meat products, challenges in public acceptance, economics and the regulation of food processed with nanomaterials which may have the potential to persist, accumulate and lead to toxicity need to be addressed. So far, the most promising area for nanotechnology application seems to be in meat packaging, but the long term effects on human health and environment due to migration of the nanomaterials from the packaging needs to be studied further. The future of nanotechnology in meat products depends on the roles played by governments, regulatory agencies and manufacturers in addressing the challenges related to the application of nanomaterials in food.

• Journal of Information Technology Services
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• v.13 no.3
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• pp.51-76
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• 2014

As the smart phone devices gain popularity, companies no longer consider mobile application marketing as an auxiliary marketing tactic. The branded mobile application (branded app) becomes an important part of marketing strategies. This study is an attempt to investigate antecedents of the use intention of the branded app from the perspective of TAM (Technology Acceptance Model). This study takes a macro perspective in explaining the adoption process by incorporating a set of new, yet promising additional variables into the TAM model such as flow experience, benefits, innovation inclination, and customization features. Data were collected by using a survey research. A total of 270 responses were collected. Questionnaires from 25 individuals were removed from the data set due to the insincere responses, leaving the final sample size of 245. Findings support all but one hypotheses of the study. Both perceived utilitarian benefits and customization features of the branded app were found to have positive influences on the perceived usefulness of the branded app. Also, the innovation inclination and perceived entertainment of branded app users showed positive influences on the perceived ease of use of branded app. In addition, it was shown that the perceived usefulness about the use of the branded app influenced positively the flow experience and the users' attitudes toward branded app. Also, the ease of use perceived by branded app users had positive influences on the perceived usefulness and the user's attitude toward branded app. However, the ease of use of branded app did not have a significant influence on the flow experience among users. Moreover, the flow experience from the use of branded app users influenced positively the user's attitude toward branded app. Finally, the users' attitudes toward branded app had positive influences on their intention to use the branded app. Implications for practitioners and academicians are provided.

• Journal of Technology Innovation
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• v.22 no.3
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• pp.287-310
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• 2014

Due to the toughening intelligence-based competitions among nations, it has become important to industrialize R&D results. To industrialize R&D results through technology transfer, the transfer fee between a technology developer and a company should be discussed. While discussing the transfer fee, the results of technology valuation have been used. However, due to the unreliability of its result, the technology transfer market has not been expanded. In this paper, we discuss the improvement of the reliability of the technology valuation method to expand the technology transfer market. The proposed scheme provides graph-type technology valuation results according to various industrial scenarios using objective technology and market data. With the use of the proposed scheme, the technology developer and the consumer (i.e., the company) can determine the appropriate technology transfer fee. Thus, the proposed scheme is expected to contribute to the expansion of the technology transfer market.

• Asian Journal of Innovation and Policy
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• v.9 no.2
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• pp.187-206
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• 2020

Under the on-going evolution of the COVID-19 pandemic, estimating the economic impact of the pandemic is highly uncertain and challenging. This situation makes it difficult for policymakers, governors, and economic entities to formulate appropriate responses and decision makings. To provide useful information about the effect of the COVID-19 pandemic on the Korean economy, this study examined macroeconomic impact analysis stemming from the pandemic shocks with different scenarios for the Korean economy. Based on three scenarios using the growth rate of 2020 GDP and consumer expenditure patterns, the 2021 GDP by industry sector was forecast with two new approaches. First, the recovering process of the Korean economy from the shock was analyzed by applying a Flex-IO method. Second, a new forecasting approach combined with an IO coefficient matrix was applied to forecast the future GDP changes. The findings of this study are summarized as follows: First, the total GDP growth rate under the Pessimistic Scenario demonstrates less rebound from the shock than that of the Base Scenario. Second, agriculture, culture, and tourism-related sectors that are suffering from the severe losses of COVID-19 showed lower resilience than other different industries. Third, information and communications technology (ICT) industry maintains a stable growth trend and is expected to take the leading role for the Korean economy in the post-COVID-19 and the Industry 4.0 eras. The findings deliver that it needs to analyze how government expenditure responding the shock into the forecasting model, which can be more useful and reliable to simulate the resilience from the pandemic.

• Journal of the Korean Society of Clothing and Textiles
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• v.41 no.2
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• pp.378-391
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• 2017

The application of Big Data has been introduced to the Korean fashion industry; however, the literature has not yet investigated how well high technologies are being perceived and adopted by the practitioners of fashion companies. Recognizing the lack of research, the current research explores how big data analysis has been adopted by fashion practitioners based on the Technology Acceptance Model (TAM) that considers the effect of organizational characteristics (i.e., innovation, slack, and IS infra maturity). First, all TAM relationships were accepted as significant; however, the effect of perceived ease of use on the attitude toward big data was greater than perceived usefulness. Regarding organizational characteristics, while organization innovation had positive impacts on perceived usefulness as well as perceived ease of use, organization slack did not show significant and positive influence on perceived ease of use only. On the other hand, IS infra maturity had a negative effect on perceived usefulness while it did not have any significant impact on perceived ease of use. Finally, the level of perceived usefulness is decreasing as the IS infra of the fashion organization becomes more mature. With the results, the study suggested that fashion industry needs more education on the usage of big data analysis systems and development in related analysis tools.

• Journal of Korea Technology Innovation Society
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• v.14 no.spc
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• pp.1232-1255
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• 2011

This paper proposes a model for demand forecasting that will require less effort in the process of utilizing the new product diffusion model while also allowing for more objective and timely application. Drawing upon the theoretical foundation provided by the hype cycle model and the consumer adoption model, this proposed model makes it possible to estimate the maximum market potential based solely on bibliometrics and the scale of the early market, thereby presenting a method for supplying the major parameters required for the Bass model. Upon analyzing the forecasting ability of this model by applying it to the case of the hybrid car market, the model was confirmed to be capable of successfully forecasting results similar in scale to the market potential deduced through various other objective sources of information, thus underscoring the potentials of utilizing this model. Moreover, even the hype cycle or the life cycle can be estimated through direct linkage with bibliometrics and the Bass model. In cases where the hype cycles of other models have been observed, the forecasting ability of this model was demonstrated through simple case studies. Since this proposed model yields a maximum market potential that can also be applied directly to other growth curve models, the model presented in the following paper provides new directions in the endeavor to forecast technology diffusion and identify promising technologies through bibliometrics.

• Korea Journal of Hospital Management
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• v.4 no.1
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• pp.1-20
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• 1999

Since the late 1980s, there have been radical changes in the managerial environment of Y University Medical Center(YUMC). Externally, the competition among hospitals has intensified due to the establishment of universal health insurance in 1939 and the entrance of large enterprises into the health care industry in the early 1990s. In addition, government regulation of medical institution is becoming stricter. Also, consumer groups have continued to demand the respect for patient rights and improvement of the quality of medical services. Internally, the financial condition of YUMC has worsened, not only because weak control and poor mediation in its large-scale structure have made its operation inefficient, but also because the rates of increase in the prices of goods and labor have grown faster than any increases in revenues. This study on materials management at YUMC presents a way for YUMC to reduce costs and increase its productivity, thereby overcoming its financial difficulties and dealing with external pressures. This study utilized the case studies of the materials purchasing and medical supply management in the United States and the comparative analysis of management to suggest short-term and long-term alternatives for innovation in YUMC. The goals of the short-term alternatives for innovation are to centralize the purchasing and supply departments and to simplify the decision-making processes. Through these attempts, it is estimated that YUMC's costs could be reduced by $600,000 per year. In the long-term, it is necessary to consider introducing a Supply Processing Distribution(SPD) system and setting up a centralized electronic system for supply and inventory management, although it is difficult to estimate the effect of cost-cutting because of the lack of analysis data. Thus, YUMC should thoroughly analyze initial investment costs and economical efficiency generated from long-term alternatives.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.140-141
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• 2017

Big data analysis, in the large amount of data stored as the data warehouse which it refers the process of discovering meaningful new correlations, patterns, trends and creating new values. Thus, Big data analysis is an effective analysis of various big data that exist all over the world such as social big data, machine to machine (M2M) sensor data, and corporate customer relationship management data. In the big data era, it has become more important to effectively analyze not only structured data that is well organized in the database, but also unstructured big data such as the internet, social network services, and explosively generated web documents, e-mails, and social data in mobile environments. By the way, a meta analysis refers to a statistical literature synthesis method from the quantitative results of many known empirical studies. We reviewed a total of 750 samples among 50 studies published on the topic related as IDT between 2000 and 2017 in Korea.

• Journal of Information Technology Services
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• v.22 no.4
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• pp.171-184
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• 2023

FinTech, which has brought innovation to the financial industry thanks to the advancements in ICT since 2010, has contributed to the growth of the financial ecosystem and increased consumer benefits. Furthermore, there has been a growing demand for social responsibility and sustainability in financial institutions, which have a significant impact on governments, businesses, and people's lives. Despite this, many FinTech companies and traditional financial institutions are still in the early stages of establishing ESG (Environmental, Social, and Governance) management philosophy or lack long-term plans. In this study, we aim to examine the impact of ESG management on the FinTech industry, focusing on representative domestic cases, and derive policy and institutional measures to spread it in the financial industry. Specifically, we will adopt MSCI rating indicators, which are internationally accepted by various industries such as manufacturing, healthcare, and transportation, to evaluate the 35 ESG management subcategories of FinTech companies. As a result, a total of 22 compliance items were disclosed in the ESG report, and it was possible to confirm the detailed management. Through this, we intend to propose effective management strategies for the organizational structure, operations, programs, and performance evaluation of FinTech companies, which are positioning themselves as sustainable growth drivers in the domestic industry.