• Management & Information Systems Review
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• v.37 no.3
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• pp.83-113
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• 2018

The purpose of this study to empirically examine a smart work investment and job performance by change resistance. Firstly, There investigates mediating role of the communication between the smart work investment and the job performance. Secondly, It will identify the job productivity differences through a level of organizational change resistance that reduced smart work investment. The smart work is to provide the flexibility of time and location and is a working method to improve a work productivity of organization members. The introduction of smart work means the adoption of new organizational culture, institution and technology and requires a novel change of a custom and pattern on existing organization culture and institution because of transformation form of communication and collaboration. The method of this study adopts a structural equation model to test a mediating effect of communication and a moderating effect of change resistance level. This model confirms whether smart work investments provide a positive impact on communication and organizational productivity. In addition, I will classify a change resistance level of smart work by cluster analysis and then check a critical path difference of job productivity between each group. As a result, The organizational IT, institution and culture on the smart work investment appeared to important influencers in communication and also had a direct influence of individual performance. Also, The three independent variables of smart work investment have an indirect influence of individual and organizational performance through communication mediating variables. However, the organizational IT and institution as independent variables do not provide direct influence of organization performance. Nevertheless, two independent variables of organizational IT and institution have an indirect influence the organization performance through communication mediating variables. As a result of confirming a productivity of three groups on organization resistance, there was a difference the individual and organizational performance among groups. The low-level group of organizational resistance showed high coefficient value of performance compared to other groups. The group analysis implications, The smart work investment appeared significantly to revise the institution first, build culture secondly and advanced technology lastly. The theoretical implication from this study contributes an extension of social science theory through socio-technical systems, institution, culture, change resistance and job performance based on smart work. The practical implications explain the smart work success in step-by-step investment rather than radical investment as level management of change resistance. In future research, the smart work performance between private and public firms will analyze a difference of the organizational culture, institution, technology and performance.

• The Journal of Society for e-Business Studies
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• v.11 no.1
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• pp.53-67
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• 2006

It is difficult to justify an IT investment unless the investment is expected to have a direct impact on a corporation's performance under rapidly changing business environment. It is important to demonstrate the benefit of the investment through a pre-investment assessment process to induce the executive's decision. This paper presents a methodology to assess the investment by analyzing cost and benefit of the investment. This methodology shows tangible cost as well as hidden cost by analyzing total cost of ownership. The methodology also produces ROI by performing cost benefit analysis including financial and non-financial factors. This paper suggests a systematic way to support If investment decision marking process by evaluating the investment objectively.

• Journal of Arbitration Studies
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• v.29 no.2
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• pp.35-63
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• 2019

Since imposing Performance Requirements (PRs) on investors have been conducted as a means to protect a host state's domestic industry in the short run, with its effect on improving the international balance of payments, it has been implemented mostly in developing countries. From the viewpoint of investors, however, PRs hinder free competition and investment activities and have the effect of distorting international trade activities; therefore, they are expected to bring detrimental effects on the host state's economic development in the long run. PRs provided by International Investment Agreements (IIAs) and WTO-TRIMs, too, included many abstract regulations which are grounded on the host state's economic efficiency in the past; however, those PRs are gradually being more concretely specified, shifting to a form of prohibition with the goals of increasing the protection on investors and realizing investment liberalization. Accordingly, when Korea freshly concludes IIAs or revises them afterwards, one should focus more on following the points regarding PRs. First, to protect Korean companies' investment activities, it is advantageous to list the contents of prohibited PRs extensively and concretely and create a stipulation. Second, it is necessary to list the contents of the PRs prohibited and add the phrases for prohibiting "any other similar requirements" explicitly, as well so as to cover the PRs that can appear newly. Third, as in the cases associated with PRs, issuable matters are mostly either the range of applying PRs or the conditions of applying them (relevance or detrimental effects); therefore, it is necessary to classify the cases accumulated by issues and analyze them thoroughly. In conclusion, as this study has analyzed the theoretical characteristics of PRs provided in IIAs and related cases and suggests exquisite theory regarding PRs, it not only lays fundamental grounds for follow-up research but also gives useful and practical guidelines for the parties concerned and the arbitrators according to the ISDS procedure.

• The Journal of Information Systems
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• v.32 no.1
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• pp.179-199
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• 2023

Purpose This study builds a prediction model to find stocks that can reach intrinsic value among KOSPI and KOSDAQ-listed companies to improve the stability and profitability of the stock investment. And investment simulations are conducted to verify whether stock investment performance is improved by comparing the prediction model, random stock selection, and the market indexes. Design/methodology/approach Value investment theory and machine learning techniques are applied to build the model. Various experiments find conditions such as the algorithm with the best predictive performance, learning period, and intrinsic value-reaching period. This study selects stocks through the prediction model learned with inventive variables, does not limit the holding period after buying to reach the intrinsic value of the stocks, and targets all KOSPI and KOSDAQ companies. The stock and financial data are collected for 21 years (2001-2021). Findings As a result of the experiment, using the random forest technique, the prediction model's performance was the best with one year of learning period and within one year of the intrinsic value reaching period. As a result of the investment simulation, the cumulative return of the prediction model was up to 1.68 times higher than the random stock selection and 17 times higher than the KOSPI index. The usefulness of the prediction model was confirmed in that the number of intrinsic values reaching the predicted stock was up to 70% higher than the random selection.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.69-76
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• 2020

The study examines lagged economic effects of research and development (R&D) investment on the market value of manufacturing firms listed on the Shanghai Stock Exchange or the Shenzhen Stock Exchange in China. This study applies panel data analysis methods to address the following issues: 1) There might be an adjustment lag in the impact of R&D investment on corporate market value, and 2) Unobserved firm effects must be taken into account. The balanced panel data includes a total of 1,462 observations with 34 cross-sections of manufacturing firms listed on Chinese stock markets and with 27 time-specific quarterly periods from 2007 to 2017. The results indicate that the R&D investment of Chinese manufacturing firms tends to yield favorable market value of the firm with some adjustments to time. The results show that R&D investment exhibits a strong positive impact on their market value of manufacturing firms in Chinese stock markets. Moreover, R&D investment has a positive time-lag effect on the market value of the firm. Interestingly, the R&D investment of Chinese manufacturing firms generate a relatively constant positive effect on their market value, supporting the notion that the corresponding returns of R&D investment for such firms yield lagged but added market values.

• The Journal of Information Systems
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• v.22 no.4
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• pp.71-84
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• 2013

The main purpose of this study is to identify the factors influencing the implementation performance of ERP system from the investment such as hardware, software and consulting fee. The main goal of this study to analyze of ERP system implementation in various sections depending on the amount of investment and research about the contribution of ERP utilization on overall PCB business activities. Survey questionnaires were distributed via post and fax to PCB (Printed Circuit Board)Company in Korea. The results of this study can be summarized as follow. First, only 43.1% of respondents implemented ERP system at the enterprise level, which shows that ERP system does not completely play its role as a truly integrated system. Second, companies shows higher satisfaction rate with selectively invested on particular sub-modules. Third, the efficiency of ERP system can be maximized by improving efficiency on core areas through selective investments. Also, this can be maximized by performing overall investments on the general environment in addition to the direct investment on ERP. Lastly, 59.26% of respondents reported that the utilization of ERP has highly significant effects on the contribution of business whereas 29.63% respondents reported as significant effects on the business. These shows positive effects of ERP on the contribution of business.

• Knowledge Management Research
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• v.19 no.1
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• pp.97-118
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• 2018

The finance-investment industry is currently focusing on research related to artificial intelligence and big data, moving beyond conventional theories of financial engineering. However, the case of equity optimization portfolio by using an artificial intelligence, big data, and its performance is rarely realized in practice. Thus, the purpose of this study is to propose process improvements in equity selection, information analysis, and portfolio composition, and lastly an improvement in portfolio returns, with the case of an equity optimization model based on quantitative research by an artificial intelligence. This paper is an empirical study of the portfolio based on an artificial intelligence technology of "D" asset management, which is the largest domestic active-quant-fiduciary management in accordance with the purpose of this paper. This study will apply artificial intelligence to finance, analyzing financial and demand-supply information and automating factor-selection and weight of equity through machine learning based on the artificial neural network. Also, the learning the process for the composition of portfolio optimization and its performance by applying genetic algorithms to models will be documented. This study posits a model that the asset management industry can achieve, with continuous and stable excess performance, low costs and high efficiency in the process of investment.

• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.367-374
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• 2019

This study aims to examine the impact of corporate governance systems on the relationship between R&D investment and the performance of Chinese firms. The sample firms were obtained from the statistical yearbook of Chinese high-tech firms. We implement a multiple-regression analysis for an empirical examination. The findings of showed that the separation of the board chair with CEO strengthen the R&D investment-performance relationship of Chinese firms. However, the outsider ratio of the board was found to negatively moderate that relationship. This study provides practical guidelines for Chinese firms undertaking R&D management and corporate governance systems. It also encourages future study on the effects of corporate governance as the means for R&D investment management.

• The Journal of Industrial Distribution & Business
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• v.13 no.1
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• pp.23-32
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• 2022

Purpose: This study used ESG grade, but defined AESG, adjusted to the size of a company and examines whether it can be used as an investment strategy. Research design, data and methodology: The analysis sample in this study is a company that has given an ESG rating among companies listed on the Korea Stock Exchange. We examine the results through portfolio analysis and Fama-macbeth regression analysis. Results: As result of examining the long-only performance and the long-short performance by constructing quintile portfolios, it was observed that a significant positive return was shown. It was observed that there was an alpha that could not be explained in asset pricing models. Also, AESG had a return prediction effect in the result of a Fama-Macbeth regression that controlled corporate characteristic variables in individual stocks. Next, we confirmed AESG's usage through various portfolio composition. In the portfolio optimization, the Risk Efficient method was the most superior in terms of sharpe ratio and the construct multi-factor model with Value, Momentum and Low Vol showed statistically significant performance improvement. Conclusions: The results of this study suggest that it can be helpful in ESG investment to reflect the ESG rating of relatively small companies more through the scale adjustment of the ESG rating (i.e.AESG).

• Korean small business review
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• v.39 no.2
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• pp.89-107
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• 2017

This study investigates the effect of risk avoiding activities and characteristic of venture capital on the financial performance of invested companies. Based on the review on the literature, we present staged financing, syndicated investment and preferred stock investment as the measurements for risk avoiding activities. Types and age of venture capital were chosen as the variables for characteristic. The financial performance data of the invested companies was derived from their publicly announced yearly financial report. Data were analysed using logistic regression technique. The result show that syndicated investment and independent venture capital have positive influence on the growth of sales revenue and asset of the invested companies. Age of venture capital appears to be positively associated with growth of sales revenue. Staged financing and preferred stock investment, however, have no impact on any financial growth and profitability. Activities and characteristic of venture capital show no influence on the profitability.