• The Journal of Industrial Distribution & Business
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• v.13 no.8
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• pp.1-7
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• 2022

Purpose: The present study concentrates on the issues that affected the employees directly and acted as stress factors. These stress factors affect how the employees perform while undertaking their duties. Furthermore, this study evaluated how the involvement of the corporate counsel affected the company by enhancing the productivity of the employees. Research design, data and methodology: The research design of this research is a literature content analysis and method for data handling should be described, and the resultant combination of the studies should include the consistency measures for every meta-analysis. Specify any risk assessment of bias that may impact the cumulative evidence, such as the publication bias and the selective reporting within studies. Results: The finding shows that change in the location of employees' organizational restructuring and the introduction of new technologies also contributed to significant organizational stress factors. These results show a substantial correlation between the magnitude of the adjustments' effects on employees' performance. Conclusions: The current study strongly concludes that counselors, through their prowess, can analyze and evaluate the stress factors that are evident among the employees and in the organization. Some of these factors may be office layout, organizational codes of ethics, organization rules, and employees' personal challenges.

• Journal of Convergence Society for SMB
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• v.2 no.2
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• pp.43-49
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• 2012

Recently, the safety of being processed in a corporate enterprise with a wide range of IT skills applied to the Corporate Affairs information services are increasing requirement. Businesses that are required by various IT corporate information technology services to companies that need to protect information being leaked to other companies, a security incident has been applied and is growing, but is lacking about how to respond to the protection of corporate information services. In this paper, the information that is important in the corporate authority by the user's access control model to reduce the number of security incidents such as information leakage and security services for enterprise informatization is proposed. The proposed model can be used in order to block the access of the users to access information managed by a central administrator role and the rights of users to access information any abnormality has been captured. In addition, the proposed model can take advantage of protecting corporate information from the systematic recovery and operational continuity strategies to build your company's information services.

• The Journal of Information Systems
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• v.29 no.1
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• pp.241-265
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• 2020

Purpose Various machine learning techniques are used to implement for predicting corporate credit. However, previous research doesn't utilize time series input features and has a limited prediction timing. Furthermore, in the case of corporate bond credit rating forecast, corporate sample is limited because only large companies are selected for corporate bond credit rating. To address limitations of prior research, this study attempts to implement a predictive model with more sample companies, which can adjust the forecasting point at the present time by using the credit score information and corporate information in time series. Design/methodology/approach To implement this forecasting model, this study uses the sample of 2,191 companies with KIS credit scores for 18 years from 2000 to 2017. For improving the performance of the predictive model, various financial and non-financial features are applied as input variables in a time series through a sliding window technique. In addition, this research also tests various machine learning techniques that were traditionally used to increase the validity of analysis results, and the deep learning technique that is being actively researched of late. Findings RNN-based stateful LSTM model shows good performance in credit rating prediction. By extending the forecasting time point, we find how the performance of the predictive model changes over time and evaluate the feature groups in the short and long terms. In comparison with other studies, the results of 5 classification prediction through label reclassification show good performance relatively. In addition, about 90% accuracy is found in the bad credit forecasts.

• Asia-Pacific Journal of Business
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• v.12 no.2
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• pp.61-79
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• 2021

Purpose - The purpose of this study was to analyze the impact of a company's competitive strategy on corporate performance in the highly competitive Chinese automotive industry. Design/methodology/approach - This study collected 14 survey data from automotive companies in China which be listed more than one year. We chosen the exploratory study with deriving research assignments, and the final research results are presented as propositions to proceed with the study. Findings - First, in the Chinese automobile industry, a company's competition strategy has a positive impact on corporate performance. and also the Differentiation strategy and the Low-cost strategy both have a positive impact on corporate performance. In addition, a company pursuing the Differentiation strategy that it would achieve better corporate performance than a company pursuing the Low-cost strategy. Second, it has been shown that the hybrid strategy rather than the pure strategy in the Chinese automobile industry can achieve higher corporate performance. Research implications or Originality - First, the type of competitive strategy in Chinese automotive industry were identified through the original strategies presented by Porter and Murray, and the impact of the Low-cost and the Differentiation strategies on corporate performance was analyzed. Second, contributing to the study of pure and hybrid strategies that are still under discussion now. Third, it also suggested practical implications that companies in China's automotive industry should pursue cost or differentiation advantages to secure competitive advantage.

• The Korean Journal of Franchise Management
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• v.7 no.2
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• pp.27-35
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• 2016

Purpose - The primary objective of this study is to investigate the impact of employee characteristics on employees' preference towards corporate pension products. This study can provide a guidance for maximization of benefits for employees and their affiliated corporation. Employee characteristics include average length of labour, wage system of annual salary, age, types of interest rates and size of corporation. Existing research generally concentrate on vitalizations of corporate pension product raising an imperfection, improvements, tax benefit analysis and legal consideration. Thus, this study intensively analyses the effect of employee attributes on firms' decision for corporate pension products, such as DB(defined benefit) and DC(defined contribution) type. Research design, data, and methodology - The data were collected using self-administrated questionnaire survey on corporate pension products from CEOs or HR directors 250 foreign-invested companies', purchasing pension plans in practice with domestic financial trustees (insurance companies, banks and security companies). Hypotheses testing was conducted using Logistic Regression analysis with SPSS/PC+ 21.0. Results - The findings of the study are as follows. Employees with the long length of labour are more likely to have DB plan; more likely to prefer DC plan with the dividend distribution product regarding the types of interest rate. SMEs(less than 100 employees) are more likely to select DC plan whereas high fluctuation in wage with annual salary has no impacts. In addition, the ages has no significant effect on the preference. Conclusions - This study has examined with the empirical testing that employees' variable attributes and qualities are one of the vital factors for corporation pension plan selection. Currently, majority employees are highly likely to join DB plan and Defined interest types. Corporation with less than 10 employees prefer IRP scheme while most of corporation are intended to join DC plan. In a very near future, corporation more than 300 employees will be required to purchase mandatory plan under national regulation. For maximization of employees' contentment to corporation pension insurance and for complementing the flaws of existing plans, the future studies shall also research in a perspective of employee benefit.

• Journal of Distribution Science
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• v.13 no.10
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• pp.45-50
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• 2015

Purpose - The purpose of this paper is to examine IKEA in the context of corporate social responsibility to determine the reasons, if any, as to why IKEA has had more success in the implementation of its CSR policies and Code of Conduct where many other multinational companies seem to have failed. Research Design and Methodology - This is a case study, an analytical approach, which focuses on exploring and analyzing the CSR policies to measure IKEA's ethical behavior in a business environment. Results - IKEA stands out as a multinational company whose CSR policies are ingrained into the business itself as a part of its ethical operations, rather than a marketing event. Conclusion - Beyond profit, IKEA actively works together with its suppliers and the nation states to eradicate the harmful social causes of the various challenges it faces in the global business environment.

• International Journal of High-Rise Buildings
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• v.5 no.2
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• pp.127-136
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• 2016

As the great urban migration continues to drive the growth of cities worldwide, global companies are seeking new approaches to the urban workplace and corporate campus. In light of environmental and economic imperatives to develop taller and denser central business districts, a key challenge is merging contemporary workplace concepts, which emphasize large, open floors and high levels of connectivity, with high-rise typologies with smaller floor plates set around center cores. This paper traces the evolution of the corporate campus and emerging design strategies for translating contemporary workplace models into a vertical campus typology that allows companies to realize the benefits of urban locations, while contributing to a more sustainable future.

• The Journal of Economics, Marketing and Management
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• v.7 no.3
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• pp.43-49
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• 2019

Purpose - This paper empirically investigates what factors contribute to management decisions by corporate governance in the Korean stock market. In the paper, dividends and investments were imployed as management decisions and major stockholders' shares and foreign investors' shares were used as corporate governance. Research design, data, and Methodolog - Samples are constructed by manufacturing firms listed on the stock market of Korea as well as those who settle accounts in December from 2001 to 2018. Financial institutions are excluded from the sample as their accounting procedures, governance and regulations differ. This study adopted the panel regression model to assess the sample construction including yearly and cross-sectional data. Results - This results support the literatures that major shareholders showed insignificance to dividends, positive significance to investment in financially unconstrained firms and negative significance to investment in financially constrained firms. Whereas foreign investors favor firms to increase dividends but they decrease investments only in financially constrained firms. Conclusion - This paper documented evidence that financial constrained firms use dividends for their investment and foreign investors decrease investments under financial constraints. But for dividends decisions, foreign investors give significant positive impacts irrespective of financial constraints.

• The Journal of Information Systems
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• v.30 no.4
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• pp.247-275
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• 2021

Purpose This study attempted to predict corporate innovation and business performance using ensemble learning. Design/methodology/approach The ensemble techniques uses weak learning to create robust learning, which combines several weak models to derive improved performance. In this study, XGboost, LightGBM, and Catboost were used among ensemble techniques. It was compared and evaluated with traditional machine learning methods. Findings The summary of the research results is as follows. First, the type of innovation is expanding from technical innovation to non-technical areas. Second, it was confirmed that LightGBM performed best for radical innovation prediction, and XGboost performed best for incremental innovation prediction. Third, Catboost performed best for firm performance prediction. Although there was no significant difference in predictive power between ensemble techniques, we found that comparative analysis was necessary to confirm better prediction performance.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.583-592
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• 2007

Entrepreneurship scholars have defined Corporate Entrepreneurship (CE) in many ways. Generally, works from these scholars had discussed on the common aspects of CE, benefits of CE, types of CE and ways to cultivate and design CE for companies. These scholars also developed models of CE to construct a framework for mapping CE research. From here, the present writers have presented a proposed framework to see how far the factors of CE, their business strategy and external environment influenced the developers' firm performance in housing development industry. However, this is just the initial stage of the study and the model needs to be revised before it can be tested in the field.