• 산경연구논집
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• 제8권7호
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• pp.71-81
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• 2017

Purpose - The purpose of this study is to investigate the relationship between customer trust and intention to return to the traditional market by using empirical analysis. Research design, data, and methodology - For the empirical analysis of this study, questionnaires were conducted for adults and over 20s. A total of 200 questionnaires were distributed to consumers with experience in traditional markets, and 163 of them were used for empirical analysis. In order to analyze the relationship between customer trust and return visit intention by consumers visiting the traditional market, variables were selected through 10 constructive concepts and revised based on previous studies. The SPSS for win 18.0 was used for data analysis. Results - In order to clarify the relationship between consumer's visit to traditional market and customer's trust, it was found that the tolerance values of both the visiting factors and the consumers' perceptions of traditional markets were higher than .01. In the relationship between visitor's visit to traditional market and customer's trust, price was positively related to customer trust at 0.1% level. Image, product quality and freshness of traditional market were 5% Positive effects were found. These results show that consumers who visit traditional markets gain customer's trust in price, image, product quality and reliability of traditional market. Conclusions - In this study, the results of this study are as follows: First, the effect of customer trust on customer satisfaction is affected by the image (emotion) consumers feel about traditional market, the trust level about the price of goods offered by the market, The confidence level of freshness, the reliability of consumers' connection with the local economy, the consumer's traditional marketplace, and the level of awareness of the service (kindness) of the variables on the independent variables. As a result of the analysis, it was found that among the influence variables of customer trust used in this study, consumers had a high level of confidence about the price of commodities offered by the market, quality of goods, and freshness, The same relationship, market environment such as hygiene or cleanliness, connection with a local economy, service (kindness) of traditional market did not affect consumers' trust in traditional markets.

• Spatial Information Research
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• 제23권5호
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• pp.21-30
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• 2015

1995년부터 추진한 국가지리정보체계 구축사업으로 국가공간정보인프라의 활용수준은 높아졌으나, 국내시장 규모의 한계와 대기업의 시장진출에 대한 법률적 규제로 인해 한국의 공간정보 시장은 산업경쟁력 측면에서 정체하고 있다. 이러한 문제점을 극복하고 과열된 국내의 레드오션 시장을 벗어나기 위해서는 새로운 공간정보의 블루오션 시장을 발굴할 필요가 있다. 해외 공간정보 시장은 2015년까지 연평균 10.5% 성장하고 150조원(1,250억 달러)로 성장할 것으로 예측되고 있다. 따라서, 아시아의 공간정보 시장은 커다란 성장 잠재력을 가지며, 한국에게는 새롭게 부상하는 블루오션 시장이 되고 있다. 핀란드, 독일, 스웨덴, 일본 등의 선진국들은 이미 오래전부터 개발도상국의 공간정보 시장에 진출하고 있으므로 선진국과 발을 맞추기 위해서 신흥공간정보 시장으로의 진출 확대를 위한 한국 공간정보의 새로운 글로벌화 전략 마련이 시급한 상황이다. 이 연구의 목적은 국내의 공간정보에 대한 강점-약점-기회-위협 요인을 분석하고 아시아 개발도상국의 공간정보 현황을 고찰하며, 한국 공간정보의 신흥시장 진출을 위한 글로벌화 전략을 제시하는데 있다. K-FBI 글로벌화 전략은 지식 플랫폼 구축전략, 신개척지 전략, 기본 공간정보 공략 전략, 현지 맞춤형 내재화 전략의 4가지 영역으로 구성될 수 있다. 향후 K-FBI 글로벌화 전략에 기반한 공간정보 로드맵의 수립과 시행은 우리 공간정보 기업의 아시아 개발도상국 진출에 큰 디딤돌이 될 것이다.

• 상하수도학회지
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• 제26권5호
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• pp.629-636
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• 2012

This study focuses on the feasibility of bio-gas production using anaerobic digestion by measuring methane generation and biodegradability through the BMP test of industrial organic wastes. Organic wastes consist of entrails of pigs and organic residues of rumen generated from slaughter houses, wastewater sludge from slaughter waste water, fish offal and residues of vegetables from public wholesale markets, and wastewater sludge from the process of wastewater treatment in paper mill. The cumulative methane production by BMP test ranges from 149.3 ml/g-VS to 406.6 ml/g-VS and this is similar to methane generation of the normal wastewater sludge and food waste. As a result of measurement of biodegradability, wastewater sludge (S1 ~ S4) is low, ranging from 27.1% to 58.9 % and organic residues of rumen (G1) is low at 49.6 %. In conclusion, it turned out that raising the hydrolysis by various pre-treatments is necessary in order to produce bio-gas by using industrial organic wastes.

• 한국분말재료학회지
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• 제23권2호
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• pp.149-169
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• 2016

Additive manufacturing (AM) is defined as the manufacture of three-dimensional tangible products by additively consolidating two-dimensional patterns layer by layer. In this review, we introduce four fundamental conceptual pillars that support AM technology: the bottom-up manufacturing factor, computer-aided manufacturing factor, distributed manufacturing factor, and eliminated manufacturing factor. All the conceptual factors work together; however, business strategy and technology optimization will vary according to the main factor that we emphasize. In parallel to the manufacturing paradigm shift toward mass personalization, manufacturing industrial ecology evolves to achieve competitiveness in economics of scope. AM technology is indeed a potent candidate manufacturing technology for satisfying volatile and customized markets. From the viewpoint of the innovation technology adoption cycle, various pros and cons of AM technology themselves prove that it is an innovative technology, in particular a disruptive innovation in manufacturing technology, as powder technology was when ingot metallurgy was dominant. Chasms related to the AM technology adoption cycle and efforts to cross the chasms are considered.

• 산업경영시스템학회지
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• 제37권4호
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• pp.202-211
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• 2014

Pairs trading is a type of arbitrage investment strategy that buys an underpriced security and simultaneously sells an overpriced security. Since the 1980s, investors have recognized pairs trading as a promising arbitrage strategy that pursues absolute returns rather than relative profits. Thus, individual and institutional traders, as well as hedge fund traders in the financial markets, have an interest in developing a pairs trading strategy. This study proposes pairs trading rules (PTRs) created from a price ratio between securities (i.e., stock index futures) using rough set analysis. The price ratio involves calculating the closing price of one security and dividing it by the closing price of another security and generating Buy or Sell signals according to whether the ratio is increasing or decreasing. In this empirical study, we generate PTRs through rough set analysis applied to various technical indicators derived from the price ratio between KOSPI 200 and S&P 500 index futures. The proposed trading rules for pairs trading indicate high profits in the futures market.

• Industrial Engineering and Management Systems
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• 제8권1호
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• pp.1-13
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• 2009

This paper presents a coordinated planning model of price-dependent demand for a single-manufacturer and a single-retailer. The demand is assumed to be normally distributed, with its mean being price dependent. The manufacturer and retailer coordinate with each other to jointly and simultaneously determine the retail selling price and the retailer order quantity to maximize the joint expected total profit. This model is then compared to a 'returns' policy model where manufacturer buys back unsold items from the retailers. It is shown that the optimal total profit is higher for coordinated planning model than that for the returns policy model, in which the retail price is set by the retailer. A compensation or profit sharing scheme is then suggested and it is shown that the coordinated model with profit sharing yields a 'win-win' situation. Numerical results are presented to illustrate the profit patterns for both linear and nonlinear demand functions. The coordinated planning model, in addition, has a lower optimal price than for a returns policy model, which would result in higher sales, thus expanding the markets for the whole supply chain.

• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.469-477
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• 2021

In this paper, the relationship between the profitability level of an enterprise and the credit policy adopted by an enterprise was measured. A sample of industrial firms listed on the stock exchanges of Iraq, Jordan, and Kuwait was analyzed. Five industrial firms were randomly selected from each exchange with a condition of having at least 5 year-activity. The total sample size was 15 industrial firms. The study financial data was imported from the sample firms' websites. The financial data was for the financial year 2017. The Regression Analysis was adopted to measure the impact of trade credit on the profitability of an enterprise using the SPSS software. It was found that the receivable accounts have a proportional relationship with the turnover property rights rate. Similarly, the statistical results showed that the turnover property rights rate increased with an increase in the turnover receivable accounts rate and the percentage of investment in receivable accounts. The influence of trade credit on the enterprise profitability percentage in the Iraq stock exchange, Amman stock exchange, and Boursa Kuwait were 0.938, 0.200, and 0.089, respectively. The results showed that the three secondary assumptions were incorrect, while the zeroth assumption, i.e., trade credit has no influence on profitability, was correct.

• 무역학회지
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• 제46권2호
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• pp.263-280
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• 2021

With the advent of the era of the 4th Industrial Revolution, various support policies and programs are being introduced as the promotion of startups related to the 4th industry is promoted as a core policy of the government. Based on major technologies such as Artificial Intelligence(AI), Big Data, Internet of Things(IoT), Blockchain, and Automation leading the 4th industrial revolution, logistics and distribution companies are expanding the range of markets and services provided. The purpose of this study is to examine the current status of startups in the logistics field based on major technologies of the 4th Industrial Revolution, which are rapidly growing at home and abroad, and suggest implications for revitalizing logistics startups through a policy demand survey. As a result of the study, in order to foster domestic logistics startups, we propose policy support for integration of logistics startups, integrated management of information, provision of physical space, network platform, and practical education and mentoring.

• 산경연구논집
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• 제15권3호
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• pp.21-29
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• 2024

Purpose: Electronic vehicles (EV) consumption become more prevalent among Vietnamese consumers. This paper aims to empirically assess the determinants of EV purchase intention among Vietnamese consumers. The research findings are expected to promote the consumption of electric vehicles in Vietnam. Research design, data and methodology: The quantitative research approach employed the Exploratory Factor Analysis (EFA). The sample size includes 301 respodents. Research design unified Theory of Acceptance and Use of Technology (UTAUT) and UTAUT2. The data collection process employ the non-probability sampling. Questionaire survey consists of 24 questions given to respondents via Google Form link. Data is processed by SPSS version 20 software. Results: The results proposed 04 determinants of the intention to buy electric vehicles: Government Support, Environmental Concern, Price Value, and Performance. Conclusions: Theorectical implications and managerial implications are also discussed to promote the consumption of electronic vehicles in Vietnam. Besides, the findings show that Price value, Environmental Concern and Performance positively affect the purchase intention of EV among Vietnamese consumers. Remarkably, Government Support is proven to be an insignificant factor in EV purchase intention. The call for further research rely on the role of government support in order to promote EV consumption in Vietnam and other emerging markets worldwide.

• 무역학회지
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• 제42권3호
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• pp.1-24
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• 2017

본 연구는 2016년 WEF(다보스포럼)에서 화두가 된 4차 산업혁명이 무역에 미칠 영향을 고찰하고 우리나라가 무역 강국으로 재도약하기 위한 수출촉진전략을 제시한다. 4차 산업혁명은 종래의 3차 산업혁명 시대의 생산자동화를 넘어 사물인터넷(IoT), 사이버물리시스템(CPS), 인공지능(AI) 그리고 빅데이터 기술의 융·복합을 기반으로 생산기기의 초지능화 및 초연결성 실현을 통한 생산과정의 최적화를 의미한다. 이는 비단 무역을 넘어 사회전반에 영향을 미칠 것으로 전망되는바 본고는 우리나라가 직면한 저성장, 내수침체의 늪에서 벗어나기 위하여 전 세계가 직면한 4차 산업혁명이 무역에 미칠 영향을 고찰하고 나아가 수출촉진전략을 제시하고자 한다.