• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.5
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• pp.277-294
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• 2020

This study analyzed the effect of internal marketing factors of agricultural enterprises on corporate performance by using SNS as a moderating variable for agricultural enterprises workers. Internal marketing factors were divided into education and training, communication and compensation system, and corporate performance was set as a sub-variable of financial performance and non-financial performance. 349 questionnaires collected from agricultural enterprises workers were used for empirical analysis. The results of the analysis using SPSS v22.0 and Process macro v3.4 showed that first, communication and compensation systems had a significant effect on financial performance and education and training did not have a significant effect on financial performance. Second, communication has a significant effect on non-financial performance, and education and training has a negative effect on non-financial performance., and compensation system had no significant effect on non-financial performance. Third, SNS utilization significantly moderated the relationship between internal marketing factors and financial performance. Fourth, SNS utilization significantly moderated the relationship between internal marketing factors and non-financial aptitude. This study has significance that internal marketing factors that affect general companies are different due to the characteristics of agricultural management organizations, and that internal marketing factors that affect the performance of agricultural management organizations have been discovered. In particular, it was found that communication must be dealt with importantly to expand the performance of agricultural management. As a follow-up study, it is necessary to study the mediating model formed by the discovery of mediators and to study the moderated mediating analysis through the conditional process model in which the mediators are introduced.

• Journal of Intelligence and Information Systems
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• v.21 no.4
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• pp.111-131
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• 2015

There are only a handful number of research conducted on pattern analysis of corporate distress as compared with research for bankruptcy prediction. The few that exists mainly focus on audited firms because financial data collection is easier for these firms. But in reality, corporate financial distress is a far more common and critical phenomenon for non-audited firms which are mainly comprised of small and medium sized firms. The purpose of this paper is to classify non-audited firms under distress according to their financial ratio using data mining; Self-Organizing Map (SOM). SOM is a type of artificial neural network that is trained using unsupervised learning to produce a lower dimensional discretized representation of the input space of the training samples, called a map. SOM is different from other artificial neural networks as it applies competitive learning as opposed to error-correction learning such as backpropagation with gradient descent, and in the sense that it uses a neighborhood function to preserve the topological properties of the input space. It is one of the popular and successful clustering algorithm. In this study, we classify types of financial distress firms, specially, non-audited firms. In the empirical test, we collect 10 financial ratios of 100 non-audited firms under distress in 2004 for the previous two years (2002 and 2003). Using these financial ratios and the SOM algorithm, five distinct patterns were distinguished. In pattern 1, financial distress was very serious in almost all financial ratios. 12% of the firms are included in these patterns. In pattern 2, financial distress was weak in almost financial ratios. 14% of the firms are included in pattern 2. In pattern 3, growth ratio was the worst among all patterns. It is speculated that the firms of this pattern may be under distress due to severe competition in their industries. Approximately 30% of the firms fell into this group. In pattern 4, the growth ratio was higher than any other pattern but the cash ratio and profitability ratio were not at the level of the growth ratio. It is concluded that the firms of this pattern were under distress in pursuit of expanding their business. About 25% of the firms were in this pattern. Last, pattern 5 encompassed very solvent firms. Perhaps firms of this pattern were distressed due to a bad short-term strategic decision or due to problems with the enterpriser of the firms. Approximately 18% of the firms were under this pattern. This study has the academic and empirical contribution. In the perspectives of the academic contribution, non-audited companies that tend to be easily bankrupt and have the unstructured or easily manipulated financial data are classified by the data mining technology (Self-Organizing Map) rather than big sized audited firms that have the well prepared and reliable financial data. In the perspectives of the empirical one, even though the financial data of the non-audited firms are conducted to analyze, it is useful for find out the first order symptom of financial distress, which makes us to forecast the prediction of bankruptcy of the firms and to manage the early warning and alert signal. These are the academic and empirical contribution of this study. The limitation of this research is to analyze only 100 corporates due to the difficulty of collecting the financial data of the non-audited firms, which make us to be hard to proceed to the analysis by the category or size difference. Also, non-financial qualitative data is crucial for the analysis of bankruptcy. Thus, the non-financial qualitative factor is taken into account for the next study. This study sheds some light on the non-audited small and medium sized firms' distress prediction in the future.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.3
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• pp.127-135
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• 2020

The paper aims to examine whether business cycles affect the link between financial development and bank risk, measured by Zscore and non-performing loans to total loans in six Southeast Asian countries, namely Indonesia, Philippines, Malaysia, Singapore, Thailand and Vietnam. This study uses a sample of 95 listed commercial banks over a 15-year period between 2004 and 2018 in the six Southeast Asian countries. This study employs panel OLS regression and modifications to tackle issues such as endogeneity and heteroscedasticity. The results show that the impact of stock market development (the ratio of the market capitalization to GDP) on Zscore is significantly positive, whereas its effect on non-performing loans is significantly negative. The findings suggest that financial development, in terms of stock market capitalization, improves banks' Zscores and reduces their level of non-performing loans, suggesting that financial development on average reduces bank risk. The impact of business cycle is insignificant towards bank risk, thus rejecting both counter- and pro-cyclical hypotheses, except for the case of risk indicator of loan loss provisions. Examining the joint effect of the business cycle and financial development on bank risk, we find that the phase of business cycles generally does not moderate the link between financial development and bank risk.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.11a
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• pp.539-544
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• 2006

This study has been attempted to find that factors for successful six-sigma implementation influence non-financial performance & financial performance in korean finance industry. In addition, goal of this study is to find out core factor in korean finance industry. To achieve the aim of this study, a document study and interview and an empirical analysis were performed. The collected questionnaires for the empirical analysis were processed statistically through data cording. Cronbach'a was conducted to get the construct reliability. To identify which factors for successful six-sigma implementation influence performances of six-sigma implementation, factor analysis was conducted to get the construct validity. After factor analysis, multiple regressions were utilized to identify the core factors (or factors for successful six-sigma implementation). The result of the study that has been derived through this process is summarized below. Firstly, by analyzing the effect factors for successful six-sigma implementation has on non-financial performance of finance industry, it shows that Process-integration & standardization variable has influenced. Secondly, by analyzing the effect factors for successful six-sigma implementation has on financial performance of finance industry, it shows that 'Process-integration & standardization' variables and 'Customer & Market mind' variables have influenced. The results of this study show that 'Process-integration & standardization' and 'Customer & Market mind' are core factors to influence non-financial performance & financial performance in korean finance industry

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.161-173
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• 2020

This study examines the nonlinear relationship between financial development and economic growth in Pakistan using the threshold regression model for the period 1980-2017. We also employed quantile regression with 0.25, 0.50, and 0.75 quantiles of conditional distribution. The quantile regression is based on minimizing of sum of squared residuals. The result indicates that economic growth responds positively to financial development when the level of financial development surpasses the threshold value of 0.151. However, when financial development lies below the threshold value (that is, 0.151), its impact on economic growth is negative. Thus, when financial development of Pakistan surpasses the threshold level, it contributes more towards economic growth since greater level of financial development contributes more to boosts economic growth. This finding reveals that economic growth reacts differently to financial development, and the relationship between financial development and economic growth is U-shaped in Pakistan. Among the other variables, physical capital, labor force, and government expenditure exert a positive effect on economic growth. Furthermore, inflation rate and trade openness have an insignificant impact on economic growth. The results of quantile regression also confirm the non-linear relationship between financial development and economic growth in Pakistan. The finding of this study suggests revamping of financial sector policies in Pakistan.

• The Journal of the Korea Contents Association
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• v.17 no.2
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• pp.489-498
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• 2017

This study analyzed whether the suitability of strategy is playing a regulative role between IT characteristics & user characteristics and non-financial performance empirically. To this end, this study set up IT characteristics and user characteristics as independent variables, and set up non-financial performance as the performance variable of KMS, and also set up the suitability of the management strategy & informatization strategy of a business as moderating variables. This study defined the detailed factors in IT characteristics as IT maturity and IT/IS infrastructure while defining the detailed factors in user characteristics as perceived profit, organizing of learning, and user professionalism. In addition, this study defined non-financial performance as an organization member satisfaction, and KMS availability. As a result of the analysis, IT maturity & IT/IS infrastructure, which are defined as IT characteristics, and perceived profit, organizing of learning and user professionalism, etc., which were defined as user characteristics, were found to be variables playing a regulative role in non-financial performance.

• Journal of the Economic Geographical Society of Korea
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• v.8 no.2
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• pp.247-266
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• 2005

The purpose of this paper is to analyse the effects of a firm's financial and non-financial factors on the relationship formation with its main bank in the industry of parts and material in Pusan-Kyungnam region. The results, out of accordance with the relation-banking or regional financial market perspective, do not support the hypothesis that regional financial institutions would be useful for decreasing the financial difficulties of the small and medium firms in the region. The analyses about the effects of non-financial factors on the formation of main bank relations show that while Kookmin Bank and Industrial Bank play important roles as main banks of small businesses other national banks put emphasis on the transaction lending. And the analyses about the effects of financial factors show that firms having main bank relations with non-bank financial institutions and Kookmin bank are more profitable and stable than firms having main bank relations with other banks including local banks. On the whole it seems that local banks are not making a commitment to the regional economy and their operational grounds are not strong enough.

• The Journal of the Korea Contents Association
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• v.15 no.2
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• pp.393-407
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• 2015

This study is intended to look into the effects of small business startup environments on failure burden and startup failure. To achieve this, a survey was carried out to 300 small business CEOs in Seoul. The results were as follows. First, the effect of startup environments on failure burden showed that management environment, business environment, internal organizational environment and external organizational environment had a negative effect on failure burden. Second, the effect of startup environments on financial and non-financial losses showed that startup management environment, startup business environment and internal organizational environment had a negative effect on financial and non-financial losses. Third, the effect of failure burden on startup failure showed that failure burden had a positive effect on financial and non-financial losses. Consequently, this study indicates that internal organizational commitment and communication are important attributes affecting failure burden, financial and non-financial losses, compared with management quality, entrepreneurship and business environment.

• The Journal of Asian Finance, Economics and Business
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• v.4 no.1
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• pp.5-18
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• 2017

Total debt in the People's Republic of China surged to nearly 290% as a ratio to GDP by the second quarter of 2016, mostly on account of non-financial corporate debt. The outpouring of credit to stem the impact of the global financial crisis accentuated industrial overcapacity in traditional sectors, such as steel, cement, and energy, while feeding asset bubbles in the property, equity and bond markets. At the Chinese corporate level, this has translated into weakened fundamentals and a fall in industrial profits, particularly of SOEs. As debtors struggle to service interest payments, non-performing loans (NPLs) have been on the rise. This paper assesses the financial fragility of the Chinese economy by looking at risk factors in the non-financial sector. We apply quantile regressions to a dataset containing all Chinese listed companies in Standard & Poor's IQ Capital database. We find higher sensitivity over time of corporate leverage to some of its key determinants, particularly for firms at the upper margin of the distribution. In particular, profitability increasingly acts as a curb on corporate leverage. At a time of falling profitability across the Chinese non-financial corporate sector, this eases the brake on leverage and may contribute to its continuing increase.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.845-852
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• 2020

The study aims to investigate the implementation of the internal quality assurance system (IQAS) on HEIs performance, mediated by financial management accountability. The commitment from foundation leadership on financial management accountability and their implications for HEIs' performance is also carefully examined. This study employs samples of 108 respondents from the leadership of private HEIs under Region IV Service Institutions. The purposive sampling, as a part of non-probability sampling was chosen as the sampling technique. Statistical data analysis conducted by use the structural equation model to test the hypothesis. The results reveal that the implementation of IQAS does not influence the financial management accountability, but it has an essential role on HEIs' performance. Moreover, foundation leadership's commitment has a significant positive effect on financial management accountability and HEIs' performance. Financial management accountability also has a significant positive effect on HEIs' performance. Financial management becomes important because the entire activities of HEIs should end with financial reporting. Therefore, financial and non-financial aspects are two interrelated and complementary aspects in the accreditation process. The findings of this study suggest that that performance measurement is very crucial as a part of the efforts to meet the general accountability requirement for organizations, particularly in HEIs.