• The Southeast Asian review
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• v.20 no.3
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• pp.183-222
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• 2010

본 연구의 목적은 2008년 후반에 발생한 국제금융위기에 대응하여 조직 개편을 선택한 기업과 그 기업 내의 근로자들 실태 파악을 하는데 있다. 특히 기업구조조정 명목으로 단행된 해고를 모면한 근로자들 (생존자)의 상태를 그들이 지각하는 각 개인의 관리자에 대한 만족도와 그들의 직무관련태도인 직무만족, 조직적 몰입 그리고 이직 의도 간의 관계 관점에서 살피고자 한다. 관리자에 대한 만족도는 근로자들의 직무 관련 태도 변수와 관련되어 사회적 선행변수로 선택되었으며 직무관련태도는 결과변수로 선택하였다. 본 연구를 통해 생존자들의 조직 내 직무관련태도에 관한 이해를 높이는데 필요한 정보를 표출해내어 그들의 실태를 파악하는데 하나의 목적을 두었으며 그들의 관리자와의 사회적 관계가 그들에게 미치는 영향을 파악하는 것이 또 하나의 목적이라 하겠다. 이상과 같은 관계 파악을 통해 얻은 정보로 관련기업이 단기적으로 성공적인 자립을 하여 장기적으로 경쟁력 있는 조직으로 성장할 수 있는 인적자원전략을 제공하는데 2차적인 목적을 두고 있다. 본 연구는 이상과 같은 목적을 달성하고자 그 유의성이 증명된 현존하는 설문을 활용한 조사기법을 채택하여 실증연구를 하였다. 수집한 자료는 SPSS 17.0과 LISREL 8.5을 사용하여 연구모형과 연구의 가설들을 검증하였다. 연구목적을 달성하고자 채택된 가설들은 기존의 문헌연구를 토대로 세워졌다. 연구대상은 태국 북부지역의 대표도시인 치앙마이 내 관광호텔 종사자들로서 외부적으로는 2008년 국제금융위기와 그에 따른 경제침체, 내부적으로는 극심한 정치적 사회적 불안에 의한 관광객의 급감소와 조직의 자구책으로 행해진 조직재구조 차원에서의 해고를 이겨낸 근로자들, 즉 생존자들이었다. 가설검증을 통해 입증된 연구결과에 의하면 1) 근로자들의 관리자에 대한 만족은 그들의 직무만족, 정서적 조직몰입과 지속적 조직몰입에 영향을 미치는 것으로 검증됐다. 2) 근로자들의 관리자에 대한 만족은 그들의 이직의도에는 영향을 미치지 못하는 것으로 검증됐다. 3) 근로자들의 직무만족은 그들의 이직의도에 영향을 미치는 것으로 검증되었다. 4) 근로자들의 조직적 몰입과 이직의도 간의 관계에 있어서는 오직 경제적 성격의 지속적 조직몰입만 영향을 미치는 것으로 검증되었다. 이러한 연구 결과는 기존의 타 연구 결과와 기본적인 맥락은 같게 나왔으나 근로자들의 정서적인 면의 부재는 2008년 후반 당시의 독특한 태국의 사회적, 경제적 그리고 문화적 실태를 보여주는 것이 아닌 가 사료된다. 특히 근로자들이 그들의 직장과의 관계와 관련된 의사결정을 가치가 아닌 경제적인 요소에 의존한다는 결과 그리고 상관인 관리자가 이러한 태도에 전혀 영향력을 미치지 못한다는 결과는 전통적으로 감성적이며 집단주의적인 동양적 문화가 지배하리라고 예상했던 태국에서는 이례적인 결과였다. 그러나 관리자들이 그들의 직무만족 그리고 조직적 몰입에 영향을 주며 직무만족이 이직 의도에 영향을 미친다는 결과와 지속적 조직몰입이 이직의도에 영향을 미친다는 결과는 장기적으로 적극적인 관리자 교육을 통해 근로자들을 조직에 정서적으로도 올바르게 안착시키고 긍정적인 구성원으로 존재하면서 조직에 기여할 수 있는 그들의 역할을 기대할 수 있다고 볼 수도 있다. 이 점은 매우 중요한데 그 이유는 해고를 이겨낸 근로자들은 그 조직이 미래를 짊어지는 마지막 기대변수이기 때문이다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.552-560
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• 2018

Since 1960's, the large conglomerates of South Korea have grown due to the corporate-centered, fast-paced growth drive, while the small and medium-sized businesses supported the country's economy as the subordinate structure of these conglomerates. Due to the globalization of the business environments, the focus of competition shifted from competitions between individual companies to one between networks of companies. Therefore, more emphasis is now put on the capabilities of the cooperation networks between companies rather than the capabilities of individual companies. Therefore, in this study, the author examined the influence of the win-win growth strategy elements through cooperation with small and medium-sized businesses upon corporate performance. This study was conducted with the workers of small and medium-sized businesses that have previous cooperation experiences with South Korean conglomerates over the period from March 2 to May 17, 2018. For this, a total of 515 questionnaires were retrieves to obtain the data for analysis. The analysis was conducted using SPSS 22.0 and AMOS 18.0. The analytical processes that were taken included exploratory factor analysis, confirmatory factor analysis, confidence analysis, correlation analysis, and structural equation analysis model. The results of the analysis showed that, first of all, the win-win growth strategy factors that affected the strategic performance, which is a part of cooperate performance were, respectively, harmonization with the goals, production technical support, and quality system. Second, the win-win growth strategy factors that affected the financial performance, which is a part of corporate performance, turned out to be harmonization with the goals, quality system, and incentive. With the results of this study, it was shown that the elements such as harmonization with the goals, production technical support, quality systems, and incentives were key infrastructural factors that affected the corporate performance directly. On the other hand, its implication is that informative or knowledge-related factors, such as joint knowledge creation, do not have their own added values, while they are not too much likely to affect corporate performances for the moment.

• Asia Marketing Journal
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• v.13 no.3
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• pp.25-53
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• 2011

This study probes the effect of loyalty program on the customer retention based on the real transaction data(n=2,892) acquired from education service industry. We try to figure out the outcomes of reward program through more than 1 year-long data gathered and analyzed according to quasi-experimental design(i.e., before and after design). We adopt this kinds of research scheme in regard that previous studies measured the effect of loyalty program by dividing the customers into two group(i.e., members vs. non-members) after the firms or stores had started the program. We believe that it might not avoid the self-selection bias. The research questions of this study could be explained such as: First, most research said that the loyalty programs could increase the customer loyalty and contribute to the sustainable growth of company. But there are little confirmation that this promotional tool could be justified in terms of financial perspective. Thus, we are interested in both the retention rate and financial outcomes caused by the introduction of loyalty programs. Second, reward programs target mainly current customer. Especially CRM(customer relationship management) said that it is more profitable for company to build positive relationship with current customer instead of pursuing new customer. And it claims that reward program is excellent means to achieve this goal. For this purpose, we check in this study whether there is a interaction effect between loyalty program and customer type in retaining customer. Third, it is said that dis-satisfied customers are more likely to leave the company than satisfied customers. While, Bolton, Kannan and Bramlett(2000) claimed that reward program could contribute to minimize the effect of negative service by building emotional link with customer, it is not empirically confirmed. This point of view explained that the loyalty programs might work as exit barrier to current customer. Thus, this study tries to identify whether there is a interaction effect between loyalty program and service experience in keeping customer. To achieve this purpose, this study adopt both Kaplan-Meier survival analysis and Cox proportional hazard model. The research outcomes show that the average retention period is 179 days before introducing loyalty program but it is increased to 227 days after reward is given to the customers. Since this difference is statistically significant, it could be said that H1 is supported. In addition, the contribution margin coming from increased transaction period is bigger than the cost for administering loyalty programs. To address other research questions, we probe the interaction effect between loyalty program and other factors(i.e., customer type and service experience) affecting it. The analysis of Cox proportional hazard model said that the current customer is more likely to engage in building relationship with company compared to new customer. In addition, retention rate of satisfied customer is significantly increased in relation to dis-satisfied customer. Interestingly, the transaction period of dis-satisfied customer is notably increased after introducing loyalty programs. Thus, it could be said that H2, H3, and H4 are also supported. In summary, we found that the loyalty programs have values as a promotional tool in forming positive relationship with customer and building exit barrier.

• Korean Journal of Construction Engineering and Management
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• v.16 no.1
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• pp.52-63
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• 2015

Business facilities among domestic architectures have rapidly been constructed along with domestic economic development. It is an important facility taking the second largest proportion next to apartment buildings among current 31 building types of fire department classification of 2012 year for urban architectures. The expected service life of business facilities is 15 years, but 70% of those in urban areas have surpassed the 15 year service life as of the present 2014. Thus, the demand for urgent rehabilitation of such facilities is constantly increasing due to the aging and performance deterioration of the facilities'main finishing materials. Especially, the business facilities are being used for the lease of company office or private office, and such problems as aging and performance deterioration of the facilities could cause less competitive edge for leasing and real estate value depreciation for the O&M (Operation & Management) agent and the owner, respectively. Therefore, an effective planned rehabilitation as a preventive measure according to the standardized repair rate by the number of years after the construction is in need in order to prevent the aging and performance deterioration of the facilities(La et al. 2001). Nonetheless, domestic repair/rehabilitation standards based on the repair rate are mainly limited to apartment buildings and pubic institutions, resulting in impractical application of such standards to business facilities. It has been investigated and analyzed that annual repair rate data for each finishing material are required for examination of the applicability of the repair rate standard for the purpose of establishment of a repair plan. Hence, this study aimed at developing a repair rate computation model for finishing materials of the facilities and verifying the appropriateness of the annual repair rate for each finishing material through a case study after collecting and analyzing the repair history data of six business facilities. The results of this study are expected to contribute to the planning and implementation of more efficient repair/rehabilitation budget by preventing the waste of unpredicted repair cost and opportunity cost for the sake of the business facilities' owners and O&M agents.

• Journal of Korean Society of Forest Science
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• v.113 no.1
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• pp.40-50
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• 2024

Pine forests are continuously declining due to competition with broadleaf trees, such as oaks, as a consequence of changes in the natural dynamics of forest ecosystem. This natural decline creates a risk of losing the various benefits pine trees have provided to people in the past. Therefore, it is necessary to prepare future forest management directions by considering the state of pine tree decline in each region. The goal of this study is to understand the characteristics of pine forest changes according to forest dynamics and to predict future regional changes. For this purpose, we evaluated the trend of change in pine forests and extracted various variables(topography, forest stand type, disturbance, and climate) that affect the change, using time-series National Forest Inventory (NFI) data. Also, using selected key variables, a model was developed to predict future changes in pine forests. As a results, it showed that the importance of pine trees in forests across the country has decreased overall over the past 10 years. Also, 75% of the sample points representing pine trees remained unchanged, while the remaining 25% had changed to mixed forests. It was found that these changes mainly occurred in areas with good moisture conditions or disturbance factors inside and outside the forest. In the next 10 years, approximately 14.2% of current pine forests was predicted to convert to mixed forests due to changes in natural forest dynamics. Regionally, the rate of pine forest change was highest in Jeju(42.8%) and Gyeonggi(26.9%) and lowest in Gyeongbuk(8.8%) and Gangwon(13.8%). It was predicted that pine forests would be at a high risk of decline in western areas of the Korean Peninsula, including Gyeonggi, Chungcheong, and Jeonnam. This results can be used to make a management plan for pine forests throughout the country.

• Proceedings of the Safety Management and Science Conference
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• 2004.11a
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• pp.355-380
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• 2004

I test the hypothesis that the gradual diffusion of information across asset markets leads to cross-asset return predictability in Korea. Using thirty-six industry portfolios and the broad market index as our test assets, I establish several key results. First, a number of industries such as semiconductor, electronics, metal, and petroleum lead the stock market by up to one month. In contrast, the market, which is widely followed, only leads a few industries. Importantly, an industry's ability to lead the market is correlated with its propensity to forecast various indicators of economic activity such as industrial production growth. Consistent with our hypothesis, these findings indicate that the market reacts with a delay to information in industry returns about its fundamentals because information diffuses only gradually across asset markets. Traditional theories of asset pricing assume that investors have unlimited information-processing capacity. However, this assumption does not hold for many traders, even the most sophisticated ones. Many economists recognize that investors are better characterized as being only boundedly rational(see Shiller(2000), Sims(2201)). Even from casual observation, few traders can pay attention to all sources of information much less understand their impact on the prices of assets that they trade. Indeed, a large literature in psychology documents the extent to which even attention is a precious cognitive resource(see, eg., Kahneman(1973), Nisbett and Ross(1980), Fiske and Taylor(1991)). A number of papers have explored the implications of limited information- processing capacity for asset prices. I will review this literature in Section II. For instance, Merton(1987) develops a static model of multiple stocks in which investors only have information about a limited number of stocks and only trade those that they have information about. Related models of limited market participation include brennan(1975) and Allen and Gale(1994). As a result, stocks that are less recognized by investors have a smaller investor base(neglected stocks) and trade at a greater discount because of limited risk sharing. More recently, Hong and Stein(1999) develop a dynamic model of a single asset in which information gradually diffuses across the investment public and investors are unable to perform the rational expectations trick of extracting information from prices. Hong and Stein(1999). My hypothesis is that the gradual diffusion of information across asset markets leads to cross-asset return predictability. This hypothesis relies on two key assumptions. The first is that valuable information that originates in one asset reaches investors in other markets only with a lag, i.e. news travels slowly across markets. The second assumption is that because of limited information-processing capacity, many (though not necessarily all) investors may not pay attention or be able to extract the information from the asset prices of markets that they do not participate in. These two assumptions taken together leads to cross-asset return predictability. My hypothesis would appear to be a very plausible one for a few reasons. To begin with, as pointed out by Merton(1987) and the subsequent literature on segmented markets and limited market participation, few investors trade all assets. Put another way, limited participation is a pervasive feature of financial markets. Indeed, even among equity money managers, there is specialization along industries such as sector or market timing funds. Some reasons for this limited market participation include tax, regulatory or liquidity constraints. More plausibly, investors have to specialize because they have their hands full trying to understand the markets that they do participate in