• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.2
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• pp.99-103
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• 2017

Productivity improvement is one of the important goals which firms' technology developments aim at. Firms' improved productivity from technology development means that their inputs can produce more outputs through technology development, which makes firms' productivity improvement from technology development more and more important in the age of technology advance and convergence like today. This research empirically analyzes the influence of the external technology collaboration network diversity on the productivity improvement of the small and medium-sized enterprises (SMEs) from technology development and the moderating effect of the chief technology officer (CTO)-driven technology development on this influence. This study constructs the research model reflecting the moderating impact of the CTO-driven technology development and tests it with the ordinary least squares regression through the IBM SPSS version 23 by using the 2,000 data about South Korean SMEs. This research empirically reveals two points. One is that SMEs' external technology collaboration network diversity has a positive influence on their productivity improvement from technology development. The other is that the positive effect of SMEs' external technology collaboration network diversity on their productivity improvement from technology development is moderated by the CTO-driven technology development. The two points revealed in this study present two meaningful implications in not only the practical but also academic point of view. The practical implication is that it is effective for SMEs to use CTOs in increasing their productivity improvement from technology development. The academic implication is that making technology collaboration with more diverse external partners can increase SMEs' productivity improvement from technology development.

• Journal of Digital Convergence
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• v.15 no.9
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• pp.147-153
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• 2017

This research empirically analyzes not only the direct impact of the external technological information network diversity of small and medium-sized enterprises (SMEs) on the sales growth from their technology development but also the mediating impact of their productivity improvement and the moderating effect of the technology development driven by CEO on this direct impact in order to deepen the research stream on SMEs' external technological information network. Based on the ordinary least squares regression by using 2,200 data of South Korean SMEs, this study reveals the three findings. First, SMEs' external technological information network diversity positively influences their sales growth from technology development. Second, SMEs' productivity improvement partially mediates this positive influence of the external technological information network diversity. Third, SMEs' technology development driven by CEO moderates the positive influence.

• Journal of Korean Society of Forest Science
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• v.79 no.3
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• pp.260-268
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• 1990

Two types of ridge regression estimators were compared with the ordinary least squares (OLS) estimator in order to select the "best" estimator when multicollinearitc existed. The ridge estimators were Mallows's (1973) $C_P$-like statistic, and Allen's (1974) PRESS-like statistic. The evaluation was conducted based on the predictive ability of a yield model developed by Matney et al. (1988). A total of 522 plots from the data of the Southwide Loblolly Pine Seed Source study was used in this study. All of ridge estimators were better in predictive ability than the OLS estimator. The ridge estimator obtained by using Mallows's statistic performed the best. Thus, ridge estimators can be recommended as an alternative estimator when multicollinearity exists among independent variables.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.187-194
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• 2017

As the environmental pollution and the global warming have become more and more serious, the green management has been growing more and more critical to small and medium enterprises. In order to explore factors positively influencing small and medium enterprises' green management performance, this study presents the two major implications through the ordinary least squares regression based on the 2,200 data from the small and medium enterprises in the Republic of Korea. First, small and medium enterprises' external technology R&D information network diversity positively influences their green management performance from technology R&D. Second, small and medium enterprises' production process improvement is a partial mediator between their external technology R&D information network diversity and green management performance from technology R&D.

• Journal of Digital Convergence
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• v.13 no.9
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• pp.99-104
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• 2015

The production management is one of the essential capabilities of the small and medium-sized enterprises (SMEs) in the information technology sector (IT). Therefore, this study empirically analyzed the effects of such important factors as external information network diversity and manufacturing capability on IT SMEs' production management capability. Based on the 310 data collected from Korean SMEs in the IT sector, the ordinary least squares regression results from this study by using the SPSS version 22 have empirically shown that IT SMEs' external information network diversity has a positive and significant effect on their production management capability and this effect is fully mediated by their manufacturing capability. These findings provide a meaningful implication that the positive impact of IT SMEs' external information network diversity is linked to their production management capability through their manufacturing capability.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.199-204
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• 2017

Good product quality is so essential to enabling firms to succeed that how to make the product quality better through technology development is one of the most important issues that many CEOs think over. With regard to the product quality improvement from firms' technology development, this study has made an attempt to empirically investigate the effect of the external information network diversity on the product quality improvement of the small and medium-sized enterprises (SMEs) in the information technology (IT) sector, mediated by their production process improvement. This research illuminates the following two points by empirically analyzing the 310 IT SMEs through the ordinary least squares regression analysis. First, IT SMEs' external information network diversity has a positive influence on their product quality improvement from technology development. Second, IT SMEs' production process improvement partially mediates the impact of their external information network diversity on the product quality improvement.

• Journal of Gastric Cancer
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• v.15 no.1
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• pp.29-38
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• 2015

Purpose: Before expanding our indications for laparoscopic gastrectomy to advanced gastric cancer and adopting reduced port laparoscopic gastrectomy, we analyzed and audited the outcomes of laparoscopy-assisted distal gastrectomy (LADG) for adenocarcinoma; this was done during the adoptive period at our institution through the comparative analysis of short-term surgical outcomes and learning curves (LCs) of two surgeons with different careers. Materials and Methods: A detailed comparative analysis of the LCs and surgical outcomes was done for the respective first 95 and 111 LADGs performed by two surgeons between July, 2006 and June, 2011. The LCs were fitted by using the non-linear ordinary least squares estimation method. Results: The postoperative morbidity and mortality rates were 14.6% and 0.0%, respectively, and there was no significant difference in the morbidity rates (12.6% vs. 16.2%, P=0.467). More than 25 lymph nodes were retrieved by each surgeon during LADG procedures. The LCs of both surgeons were distinct. In this study, a stable plateau of the LC was not achieved by both surgeons even after performing 90 LADGs. Conclusions: Regardless of the experience with gastrectomy or laparoscopic surgery for other organs, or the age of surgeon, the outcome was quite acceptable; the learning process differ according to the surgeon's experience and individual characteristics.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.533-542
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• 2021

The main objective of this article is to investigate the existence of the lunar effect during the full moon period (FM period) and the new moon period (NM period) on the selected Islamic stock market returns and volatilities. For this purpose, the Ordinary Least Squares model, Autoregressive Conditional Heteroscedasticity model, Generalised Autoregressive Conditional Heteroscedasticity model and Generalised Autoregressive Conditional Heteroscedasticity-in-Mean model are employed using the mean daily returns data between January 2010 and December 2019. Next, the log-likelihood, Akaike Information Criterion and Schwarz Information Criterion value are analyzed to determine the best models for explaining the returns and volatility of returns. The empirical results have deduced that, during the NM period, excluding Malaysia, the total mean daily returns for all of the selected countries have increased mean daily returns in contrast to the mean daily returns during the FM period. The volatility shocks are intense and conditional volatility is persistent in all countries. Subsequently, the volatility behavior tends to have lower volatility during the FM period and NM period in the Islamic stock market, except Malaysia. This article also concluded that the ARCH (1) model is the preferred model for stock returns whereas GARCH-M (1, 1) is preferred for the volatility of returns.

• Stress
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• v.26 no.4
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• pp.327-331
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• 2018

Background: For efficient management of an organization's human resource, it is crucial to increase the job satisfaction of women managers, since it is closely related to an individual's job performance and company's one. In this regard, this research explores how women managers' job stress and managerial efficacy affect their job satisfaction. Methods: This research uses the fifth wave of Korean Women Manager Panel (KWMP) collected in 2015. The 1,537 women managers who work at a company with 100 or more employees are employed and the data are analyzed using ordinary least squares (OLS). Results: Income, job stress, and managerial efficacy have a statistically significant effect on job satisfaction. In addition, managerial efficacy has a moderating effect between job-related stress and job satisfaction. Conclusions: This study suggests the meaningful findings that in terms of boosting women manager's job satisfaction, it is requested to promote their managerial efficacy at the human resource management level.

• Journal of Service Research and Studies
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• v.8 no.3
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• pp.25-35
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• 2018

Initiatives for corporate social responsibility (CSR) have often served as sources of competitive advantage in the business world. Although the adoption of CSR practices in the hotel industry continues to increase, empirical research on the relationship between them and financial performance in the industryremains scarce. The purpose of this study was to ascertain the effects of various dimensions of CSR on the financial performance of corporations in the U.S. hotel industry. Data include Kinder, Lydenburg & Domini social performance scores and Compustat data of hotels from 1991 to 2015 identified using a Standard Industrial Classification code. Results of ordinary least squares regression using Stata revealed that efforts toward CSR have significantly affected the financial performance of numerous hotels. Such findings can initiate discussions and inspire future research on CSR in the hospitality industry.