• Title/Summary/Keyword: Impact investment

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Antecedent of Foreign Direct Investment (FDI): Focusing on the Moderating Effect of Absolute Corruption and Relative Corruption (해외직접투자(FDI)의 결정요인 분석: 절대적 부패 수준과 상대적 부패 수준의 조절 효과를 중심으로)

  • Do-Eui Kim
    • Korea Trade Review
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    • v.46 no.2
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    • pp.337-354
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    • 2021
  • Several previous studies have not been able to derive consistent research results on the impact of the level of corruption in local countries on foreign direct investment. Therefore, in order to suggest that this study should consider the relative level of corruption rather than the level of absolute corruption, 1) first, examine the moderating effect of the absolute level of corruption on the determinants of foreign direct investment, and 2) examine the moderating effect of the relative corruption on the determinants of foreign direct investment. This study collected 9-year data from 2012 to 2020 based on the Corruption Perceptions Index (CPI) published by Transparency International. A total of 549 observations (country-year) from 82 countries were sampled and a generalized estimation equation (GEE) analysis was performed. As a result of empirical analysis, it was found that the moderating effect of absolute corruption did not appear, whereas the moderating effect of relative corruption reversed the negative (-) relationship between cultural distance and foreign direct investment into a positive (+) relationship. Based on these empirical results, this study suggest that Korean companies need to consider the relative level of corruption with Korea instead of the absolute level of corruption of the investee when conducting foreign direct investment.

The Effect of Real Estate Investment Factors in Investors of Sejong City on Investment Performance and Reinvestment Intention (세종시 투자자의 투자요인이 투자성과와 재투자의향에 미치는 영향)

  • Tae-Bock Park;Jaeho Chung
    • Land and Housing Review
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    • v.14 no.4
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    • pp.63-76
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    • 2023
  • Investors should understand and actively consider factors like location, future value, policies, pricing, market trends, and their income, as these elements can shift with changing local, social, economic, and policy environments. This study seeks to clarify the impact of investment factors on the performance and reinvestment intentions of Sejong City investors by surveying those who have invested in real estate. This study employs a structural equation model with confirmatory factor analysis, focusing on four aspects: value, economic and policy, psychological, and financial. We find that the investment value factor has the largest impact on investment performance, indicating that investors prioritize the investment value of real estate in Sejong City. In addition, factors increasing asset value and expected satisfaction were significant, indicating that real estate investment in Sejong City yields high returns and investor satisfaction. with a positive outlook for future reinvestment.

The Impact of the Characteristics of Start-up CEOs on the Amount of Investment in Series A Round (스타트업 CEO 특성이 시리즈 A 투자단계 벤처기업의 투자금액에 미치는 영향)

  • Choi, Sung-Woo;Han, In-Goo;Yoon, Byung-Seop
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.17 no.4
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    • pp.17-30
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    • 2022
  • The purpose of this study is to analyze the impact of the characteristics of start-up CEOs on the performance of investment attraction from the perspective of Series A investment. The results of the study are as follows. First, when the educational level of start-up CEOs was high and startup CEOs had start-up experience and investment attraction experience, venture investors such as venture capital had a significantly positive (+) effect on the investment for start-ups. This was systematically significantly positive even when control variables were introduced. When start-up CEOs had work experiences, there was no significantly positive effect on the total investment amount for start-ups but a significantly positive (+) effect on the average investment amount. Second, the standardization coefficient of total investment amount was larger in the case of start-up experience than that in the case of investment attraction experience while the standardization coefficient of average investment amount was larger in the case of investment attraction experience than that in the case of start-up experience. This suggests that the start-up experience is important for the total investment amount while the investment attraction experience is important for the average investment amount. Third, when the sales of start-ups were high at the time of Series A investment, the total investment amount and the average investment amount were also significantly high. Even if early start-ups are less profitable or have losses, the start-ups with a certain level of sales seem to be attractive investment targets for venture capital. The results of this study are useful for the investment decisions of venture capital and the financing strategies of start-ups. The implications for pre-CEOs preparing for start-ups art that the total amount of investment will increase if they have expertise through degree acquisition, challenge start-ups, gain start-up experience and implement investment attraction. Even if CEOs of start-ups do not have start-up experience, the average amount of investment for start-ups can increase if they have work experience in related industries.

Impact of Medical Service Quality by Attribute on Overall Satisfaction -Focused on Out-patient and In-patient in High-level general Hospital- (의료서비스 속성에 따른 품질이 전체만족도에 미치는 영향 -일개 상급종합병원의 외래 및 입원환자를 중심으로-)

  • Kim, Jung-Hee;Ji, Kyung-Ja;Park, Chun-Man
    • Korea Journal of Hospital Management
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    • v.18 no.1
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    • pp.18-41
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    • 2013
  • This study was aimed to identify the current status of medical service quality of medical institutes; propose improvements; and find out the impact of medical service quality by its attribute on overall customer satisfaction. The research was conducted on the out-patients and in-patients in a high-level general hospital located in A city. To examine the research, the IPA was utilized to identify the priority requirements for improving the medical service quality. The study also applied an extended theory to the analysis on mismatch between the level of satisfaction and importance recognized by the clients, to examine the impact of the above mentioned factors on the overall satisfaction and intention to revisit and recommend the hospital. For out-patients, the result showed that "hospital hygiene" had a positive and negative impact on the clients' intention to revisit the hospital in priority improvements. In terms of the sustainable improvements, "doctor's skill" had a negative impact on the overall service satisfaction, whereas "state-of-the-art facility" and "nurse's instruction" had a positive impact on the intention to revisit the hospital. In long-term improvements,"complaint remedy" had a positive impact on the intention to recommend the hospital but there were no relevant factors in excessive investment. On the other hand, for in-patients, the result demonstrated that there were no relevant factors in priority improvements and sustainable improvements. The factor of"service procedure speed"had a positive as well as negative impact on the intention to revisit the hospital. In excessive investment,"nurse's empathy"had a positive impact on the intention to recommend the hospital.

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The effect of Big-data investment on the Market value of Firm (기업의 빅데이터 투자가 기업가치에 미치는 영향 연구)

  • Kwon, Young jin;Jung, Woo-Jin
    • Journal of Intelligence and Information Systems
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    • v.25 no.2
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    • pp.99-122
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    • 2019
  • According to the recent IDC (International Data Corporation) report, as from 2025, the total volume of data is estimated to reach ten times higher than that of 2016, corresponding to 163 zettabytes. then the main body of generating information is moving more toward corporations than consumers. So-called "the wave of Big-data" is arriving, and the following aftermath affects entire industries and firms, respectively and collectively. Therefore, effective management of vast amounts of data is more important than ever in terms of the firm. However, there have been no previous studies that measure the effects of big data investment, even though there are number of previous studies that quantitatively the effects of IT investment. Therefore, we quantitatively analyze the Big-data investment effects, which assists firm's investment decision making. This study applied the Event Study Methodology, which is based on the efficient market hypothesis as the theoretical basis, to measure the effect of the big data investment of firms on the response of market investors. In addition, five sub-variables were set to analyze this effect in more depth: the contents are firm size classification, industry classification (finance and ICT), investment completion classification, and vendor existence classification. To measure the impact of Big data investment announcements, Data from 91 announcements from 2010 to 2017 were used as data, and the effect of investment was more empirically observed by observing changes in corporate value immediately after the disclosure. This study collected data on Big Data Investment related to Naver 's' News' category, the largest portal site in Korea. In addition, when selecting the target companies, we extracted the disclosures of listed companies in the KOSPI and KOSDAQ market. During the collection process, the search keywords were searched through the keywords 'Big data construction', 'Big data introduction', 'Big data investment', 'Big data order', and 'Big data development'. The results of the empirically proved analysis are as follows. First, we found that the market value of 91 publicly listed firms, who announced Big-data investment, increased by 0.92%. In particular, we can see that the market value of finance firms, non-ICT firms, small-cap firms are significantly increased. This result can be interpreted as the market investors perceive positively the big data investment of the enterprise, allowing market investors to better understand the company's big data investment. Second, statistical demonstration that the market value of financial firms and non - ICT firms increases after Big data investment announcement is proved statistically. Third, this study measured the effect of big data investment by dividing by company size and classified it into the top 30% and the bottom 30% of company size standard (market capitalization) without measuring the median value. To maximize the difference. The analysis showed that the investment effect of small sample companies was greater, and the difference between the two groups was also clear. Fourth, one of the most significant features of this study is that the Big Data Investment announcements are classified and structured according to vendor status. We have shown that the investment effect of a group with vendor involvement (with or without a vendor) is very large, indicating that market investors are very positive about the involvement of big data specialist vendors. Lastly but not least, it is also interesting that market investors are evaluating investment more positively at the time of the Big data Investment announcement, which is scheduled to be built rather than completed. Applying this to the industry, it would be effective for a company to make a disclosure when it decided to invest in big data in terms of increasing the market value. Our study has an academic implication, as prior research looked for the impact of Big-data investment has been nonexistent. This study also has a practical implication in that it can be a practical reference material for business decision makers considering big data investment.

Economic Impact of Information Technology : Empirical Relationship between Informatization level and Productivity (정보기술의 경제적 효과 : 정보화수준과 생산성의 실증적 관계)

  • 조세형;정용균
    • Journal of Information Technology Application
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    • v.3 no.2
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    • pp.25-48
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    • 2001
  • This Study intends to Investigate the economic impact of information technology investment. Six countries in OECD are selected and analyzed to understand the empirical relationship between informatization level and productivity Correlation test and regression analysis are executed, using macro data concerning informatization index, total factor productivity and real output per worker hour The impact of informatization level on productivity is characterized by the time lag effect which is used to explain the productivity paradox in precedent studies. Empirical analysis shows that the higher informatization level and information intensity, the lower time lag effect. The result indicates that IT investment has characteristic as sunk cost and the economic impact is appeared after a certain period of time.

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A study on the foreign investment law and permission procedure of forestation business in Laos (라오스의 외국인투자법제 및 조림사업 허가 절차에 관한 고찰)

  • Bang, Hong-Seok;Kweon, Hyeong-Keun;Choi, Sung-Min;Lee, Joon-Woo;Kong, Young-Ho
    • Korean Journal of Agricultural Science
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    • v.39 no.1
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    • pp.17-21
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    • 2012
  • The purpose of this study is to review the laws on foreign investment and the changed licensing procedures in Laos and to provide the data for basic understanding of foreign forestation investment in Laos. The conclusions are as follows. The Laos government has been consistently trying to promote foreign investment. In particular, in 2004, the "Law on the Promotion of Foreign Investment" was legislated. In 2009, the Foreign Investment Promotion Act and the Domestic Investment Promotion Act to incorporate the principles of the "Law on Investment Promotion" were enacted. In Laos, the country's land is owned by the nation's community and maintained by the government. Therefore, through the procedures for registration of land, land can be conceded or leased. The ways to invest are joint ventures (where at least 10% of the total capital investment has to be made), foreign sole investment (where the investor must have a minimum capital of $100,000 or more), joint venture agreement and etc. Lastly, the forestation licensing procedures in Laos are carried out in the following order: site selection, business investments feasibility studies, environmental and social impact assessment, forestry permit application.

Investment and Firm Performance Variability

  • Hee-Jung Yeo
    • Journal of Korea Trade
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    • v.27 no.1
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    • pp.60-78
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    • 2023
  • Purpose - The study analyzed 90 online firms worldwise and observed them for ten years to investigate their investments and firm performance variabilities. This study attemped to verify the existence of agency problems in online firms. Through this, the paper intends to expand the scope of research in the fields of investment and firm value both empirically and in theory. This study also attempted to supplement the insufficient logic of previous studies by analyzing the relationship between investment and profitability. Design/methodology - In this study, the investment is subdivided into over-, under-, and neutral investments, and an empirical analysis of the firm performance was conducted. As investment generally has long-term effects, the impact of a firm's investment on future firm performance and variabilities in firm performance was considered over the short-and medium-term period. Findings - It was found that there was a negative relationship between firms with an overinvestment and future firm performance. Underinvestment has no clear statistically significant results on firm performance. This implies that overinvestment causes more reduction in future firm performance than underinvestment. It was also found that underinvestment and overinvestment significantly increased the variability of firm performance. A positive significance was found between under- and over- investment with a variability of 3 years and overinvestment with a variability of 4 years in the future. A negative relationship was found between neutral investment propensity and future performance variabilities. Neutral investment has less effect on the future performance variability of a firm than a firm's overinvestment and underinvestment. For online firms, underinvestment and overinvestment have a greater effect on the firm's future performance variability than neutral investment. Originality/value - The agency theory predicts that information asymmetry and adverse selection problems exacerbate conflicts of interest among stakeholders, thus firm performance. The study contributed to accumulating research on online firms that are currently underexplored by analyzing the investment behavior of major firms in the online industry.

An Empirical Study on the Effect of Informatization of Small and Medium Manufacturers on Business Performance (중소제조기업의 정보화가 기업 성과에 미치는 영향에 관한 실증연구)

  • Joo Seok-Jeong;Park Seong-Kyu;Kim Na-Rang;Hong Soon-Goo
    • Journal of Korea Society of Industrial Information Systems
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    • v.11 no.2
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    • pp.86-97
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    • 2006
  • From the mid 1990's, the scale of IS had been growing, which resulted in increasing number of failure projects. As a result, the measurement of IS performance was a growing concern. Moreover, the need for research on the relation between IT investment and performance that isfd the concern of CEOs has been raised. In this study, the correlation between the IS functionality and investment was discovered based on the IS success model suggested by DeLone & McLean(1992), a business information system evaluation model by Lee Kuk Hie(1992), a balanced score card by Kaplan & Norton(1992). As a result of the LISREL analysis, the investment in the IS has a positive impact on the quality of both information systems and information. In turn, the quality of both information systems and information have a positive impact on the end-user satisfaction, the end-user satisfaction on the financial performance, customer satisfaction, and internal business processes. This study showed that sufficient investment in IS improved business performance

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The Impact of Big Data Investment on Firm Value

  • Min, Ji-Hong;Bae, Jung-Ho
    • Journal of Distribution Science
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    • v.13 no.9
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    • pp.5-11
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    • 2015
  • Purpose - The purpose of this research is to provide insights that can be used for deliberate decision making around challenging big data investments by measuring the economic value of such big data implementations. Research design, data, and methodology - We perform empirical research through an event study. To this end, we measure actual abnormal returns of companies that are triggered by their investment announcements in big data, or firm size information, during the three-year research period. The research period targets a timeframe after the introduction of big data at Korean firms listed on the Korea stock markets. Results - Our empirical findings discover that on the event day and the day after, the abnormal returns are significantly positive. In addition, our further examination of firm size impacts on the abnormal returns does not show any evidence of an effect. Conclusions - Our research suggests that an event study can be useful as an alternative means to measure the return on investment (ROI) for big data in order to lessen the difficulties or decision making around big data investments.