• Title/Summary/Keyword: Corporate Data Analysis

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Comparison of Ideal versus Actual Fashion Corporate Social Responsibility from a Consumer Perspective (소비자 관점에서의 패션기업의 이상적 CSR과 실제적 CSR 비교)

  • Ahn, Soo-Kyoung
    • Journal of the Korean Society of Clothing and Textiles
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    • v.37 no.5
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    • pp.631-644
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    • 2013
  • This study investigates the gaps between ideal and actual corporate social responsibility (CSR) by comparing levels of CSR perceptions and examining the relationship differences between CSR perception, perceived quality, and affective trust from a consumer perspective. Data from 315 adult samples were collected through a nationwide online survey. In order to compare ideal and actual CSR, the study employed the approach of latent means analysis (LMA) and multi-group comparisons within the framework of a structural equation modeling (SEM). The result of latent means comparison showed significant differences of perceptions on fashion CSR across ideal and actual contexts. Only actual economic CSR was evaluated higher than in the ideal context and the effect size of inter-management CSR was the largest among seven domains. Multi-group SEM revealed a significant discrepancy between ideal and actual CSR structural models that exhibited relationships of CSR perception, perceived quality, and affective trust. The paths from internal management and ethical CSR to perceived quality and from economic and philanthropy CSR to affective trust were different across ideal and actual contexts. Implying the understanding of consumer CSR perceptions and the mediating role of perceived quality, this study suggests that marketers narrow the gap between ideal and actual CSR.

Relationship Between Profitability and Corporate Social Responsibility Disclosure: Evidence from Vietnamese Listed Banks

  • TRAN, Quoc Thinh;VO, Thi Diu;LE, Xuan Thuy
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.3
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    • pp.875-883
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    • 2021
  • In view of integration and development, compliance with regulations on information disclosure has important implications for users. Corporate social responsibility disclosure (CSRD) is an increasing concern of the community and society. CSRD always poses many challenges for the profitability of banks. The article uses the ordinary least square method to examine this relationship and employs timeseries data of five years from 18 Vietnamese listed banks from 2015 to 2019. The analysis is informed by Jensen and Meckling's Agency theory, Freeman's Stakeholder theory, and Dowling and Pfeffer's Legitimacy theory. The study results show that, with the CSRD dependent variable, return on assets (ROA) and net interest margin (NIM) have an opposite influence, but return on equity (ROE) has no effect on CSRD, while on the profitability dependent variable, CSRD has a different influence from ROA, ROE, and NIM. To enhance the relationship between CSRD and profitability, Vietnamese listed banks need to comply with CSRD as well as demonstrate responsibility to the community and society. Managers need to have clear development policies and strategies to ensure both profitability and responsibility regarding social and community activities. The State Securities Commission of Vietnam should enforce strict sanctions, conduct inspection, and complete evaluation criteria for Vietnamese listed banks.

The Role of Corporate Social Responsibility on the Relationship between Financial Performance and Company Value

  • UTAMI, Elok Sri;HASAN, Muhamad
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.3
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    • pp.1249-1256
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    • 2021
  • This study investigates the company value determinant by observing the effect of financial performance and Corporate Social Responsibility (CSR) and its role in moderating performance achievement. The macro-economy variables such as inflation and interest rate are also used as the controlling variable. This research employs the sample of manufacturing companies of the food and beverage sub-sector listed on the Indonesia Stock Exchange. This study used panel data from 2013 to 2017, with the moderating regression analysis. The result shows that the profitability of the current or previous period affects the company's value. CSR and company size affect the company value at the next period shows that stock price, which reflects the investor's perception today, will be affected by the CSR, Size, and Return On Asset of the previous year. CSR also shows that it can be the substitute for profitability since a company that performs CSR is the one that has a good performance. The regression moderating model and the profitability of the previous period have a higher explanatory power than the higher R square value in explaining company value.

MNC Subsidiaries' Charitable Donations in Korea: An Exploratory Empirical Analysis (다국적기업 자회사의 한국시장 기부활동: 탐색적 실증분석)

  • Hong, Sungjin
    • Asia-Pacific Journal of Business
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    • v.13 no.3
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    • pp.171-182
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    • 2022
  • Purpose - The main purpose of this study is to test two competing hypotheses on the relationship between foreignness and corporate philanthropy drawing on the resource dependence theory. Design/methodology/approach - This study used Korean Enterprsie Survey data constructed by Korean Statistical Information Service. This study employed both OLS and Tobit models to test the hypotheses. Findings - A conventional wisdom can argue that MNC subsidiaries are more willing to give charitable donations than local firms do because they may perceive philanthropy in the host country is a good opportunity to reduce liabilities of foreignness (H1-1). On the other hand, one can argue that MNC subsidiaries are less willing to give charitable donations than local firms do because they have operational flexibility when they are coerced to engage in corporate philanthropy by host country government stakeholders (H1-2). Empirical results support the prediction that MNC subsidiaries are less likely to give charitable donations than local firms do in Korea. Research implications or Originality - Our findings can provide useful insights to researchers and managers in the sense that MNC managers can increase or decrease their charitable donations depending on the institutional contingencies in different host countries. These institutional contingencies are particularly important within a transforming context such as Korea.

Airline Passenger Repurchase Behavior Intention Model: Moderating Effect of Leisure and Corporate Travel in Korea Market

  • DongRyeol CHOI;Sukhoon CHUNG;Jin-Woo PARK
    • Journal of Distribution Science
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    • v.21 no.8
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    • pp.69-82
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    • 2023
  • Purpose: This research aims to explore the effects of airline's pricing and service quality through service distribution process on repurchasing intention of the air passengers with meditations of passenger satisfaction and airline brand. Research design, data and methodology: This paper particularly focused on employing the moderating effect with two different market segmentations, namely leisure and corporate purpose travelers, in the Korean market. The total sample size of this research is 363 respondents of the general public in Korea. For the methodology of this research, structural equation modeling (SEM) was utilized for the statistical analysis. Results: It figured out that passenger satisfaction is ultimately the most important among variables of price, service quality and repurchase intention for both groups. On the contrary, the relationships, between price and airline brand in both groups, and between airline brand and repurchase intention in the leisure travel only, were not noted as beneficial effects. Conclusions: More noteworthy was that airline brand had a positive influence on repurchase intention in the corporate travel group. Based on this research, the results will deliver the contributions to the commercial airlines in the future.

A Study on the Characteristics of Enterprise R&D Capabilities Using Data Mining (데이터마이닝을 활용한 기업 R&D역량 특성에 관한 탐색 연구)

  • Kim, Sang-Gook;Lim, Jung-Sun;Park, Wan
    • Journal of Intelligence and Information Systems
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    • v.27 no.1
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    • pp.1-21
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    • 2021
  • As the global business environment changes, uncertainties in technology development and market needs increase, and competition among companies intensifies, interests and demands for R&D activities of individual companies are increasing. In order to cope with these environmental changes, R&D companies are strengthening R&D investment as one of the means to enhance the qualitative competitiveness of R&D while paying more attention to facility investment. As a result, facilities or R&D investment elements are inevitably a burden for R&D companies to bear future uncertainties. It is true that the management strategy of increasing investment in R&D as a means of enhancing R&D capability is highly uncertain in terms of corporate performance. In this study, the structural factors that influence the R&D capabilities of companies are explored in terms of technology management capabilities, R&D capabilities, and corporate classification attributes by utilizing data mining techniques, and the characteristics these individual factors present according to the level of R&D capabilities are analyzed. This study also showed cluster analysis and experimental results based on evidence data for all domestic R&D companies, and is expected to provide important implications for corporate management strategies to enhance R&D capabilities of individual companies. For each of the three viewpoints, detailed evaluation indexes were composed of 7, 2, and 4, respectively, to quantitatively measure individual levels in the corresponding area. In the case of technology management capability and R&D capability, the sub-item evaluation indexes that are being used by current domestic technology evaluation agencies were referenced, and the final detailed evaluation index was newly constructed in consideration of whether data could be obtained quantitatively. In the case of corporate classification attributes, the most basic corporate classification profile information is considered. In particular, in order to grasp the homogeneity of the R&D competency level, a comprehensive score for each company was given using detailed evaluation indicators of technology management capability and R&D capability, and the competency level was classified into five grades and compared with the cluster analysis results. In order to give the meaning according to the comparative evaluation between the analyzed cluster and the competency level grade, the clusters with high and low trends in R&D competency level were searched for each cluster. Afterwards, characteristics according to detailed evaluation indicators were analyzed in the cluster. Through this method of conducting research, two groups with high R&D competency and one with low level of R&D competency were analyzed, and the remaining two clusters were similar with almost high incidence. As a result, in this study, individual characteristics according to detailed evaluation indexes were analyzed for two clusters with high competency level and one cluster with low competency level. The implications of the results of this study are that the faster the replacement cycle of professional managers who can effectively respond to changes in technology and market demand, the more likely they will contribute to enhancing R&D capabilities. In the case of a private company, it is necessary to increase the intensity of input of R&D capabilities by enhancing the sense of belonging of R&D personnel to the company through conversion to a corporate company, and to provide the accuracy of responsibility and authority through the organization of the team unit. Since the number of technical commercialization achievements and technology certifications are occurring both in the case of contributing to capacity improvement and in case of not, it was confirmed that there is a limit in reviewing it as an important factor for enhancing R&D capacity from the perspective of management. Lastly, the experience of utility model filing was identified as a factor that has an important influence on R&D capability, and it was confirmed the need to provide motivation to encourage utility model filings in order to enhance R&D capability. As such, the results of this study are expected to provide important implications for corporate management strategies to enhance individual companies' R&D capabilities.

CSR Impact on the Firm Market Value: Evidence from Tour and Travel Companies Listed on Chinese Stock Markets

  • LEE, Jung Wan
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.7
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    • pp.159-167
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    • 2020
  • The study examines the impact of corporate social responsibility (CSR) activity on the firm market value, in particular, market capitalization of tour operators listed on Chinese stock markets. This study employs panel data analysis methods to examine endogeneity concerns in observational data. The balanced panel data includes a total of 1,296 observations with 27 cross-sections of tour operators listed on Chinese stock markets and with 48 time-specific periods from March 2006 to December 2017. The results indicate that CSR activity has a negative impact on the market value of the firm for the concurrent period, but from one-period time lag and afterwards CSR activity has a strong positive impact on the market value and sustains its positive impact on the market value even for a two-period time lag. The findings suggest that the economic effect of CSR activity on the firm market value tends to take some degree of lagged effects to be fully showcased in the market capitalization of tour operators and travel companies listed on Chinese stock markets. The findings suggest that, though CSR activity may carry some financial risk for an immediate short-term, tour operators must put a lot of time and effort into making CSR actions effective.

Utilization Pattern Analysis of an Enterprise Information System using Event Log Data (로그 데이터를 이용한 기업 정보 시스템의 사용 패턴 분석)

  • Han, Kwan Hee
    • The Journal of the Korea Contents Association
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    • v.22 no.10
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    • pp.723-732
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    • 2022
  • The success of enterprise information system(EIS) is crucial to align with corporate strategies and eventually attain corporate goals. Since one of the factors to information system success is system use, managerial efforts to measure the level of EIS utilization is vital. In this paper, the EIS utilization level is analyzed using system access log data. In particular, process sequence patterns and clustering of similar functions are identified in more detail based on a process mining method, in addition to basic access log statistics. The result of this research can be used to improve existing information system design by finding real IS usage sequences and function clusters.

Analysis of Business Performance of Local SMEs Based on Various Alternative Information and Corporate SCORE Index

  • HWANG, Sun Hee;KIM, Hee Jae;KWAK, Dong Chul
    • The Journal of Economics, Marketing and Management
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    • v.10 no.3
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    • pp.21-36
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    • 2022
  • Purpose: The purpose of this study is to compare and analyze the enterprise's score index calculated from atypical data and corrected data. Research design, data, and methodology: In this study, news articles which are non-financial information but qualitative data were collected from 2,432 SMEs that has been extracted "square proportional stratification" out of 18,910 enterprises with fixed data and compared/analyzed each enterprise's score index through text mining analysis methodology. Result: The analysis showed that qualitative data can be quantitatively evaluated by region, industry and period by collecting news from SMEs, and that there are concerns that it could be an element of alternative credit evaluation. Conclusion: News data cannot be collected even if one of the small businesses is self-employed or small businesses has little or no news coverage. Data normalization or standardization should be considered to overcome the difference in scores due to the amount of reference. Furthermore, since keyword sentiment analysis may have different results depending on the researcher's point of view, it is also necessary to consider deep learning sentiment analysis, which is conducted by sentence.

The Impact of Transforming Unstructured Data into Structured Data on a Churn Prediction Model for Loan Customers

  • Jung, Hoon;Lee, Bong Gyou
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.12
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    • pp.4706-4724
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    • 2020
  • With various structured data, such as the company size, loan balance, and savings accounts, the voice of customer (VOC), which is text data containing contact history and counseling details was analyzed in this study. To analyze unstructured data, the term frequency-inverse document frequency (TF-IDF) analysis, semantic network analysis, sentiment analysis, and a convolutional neural network (CNN) were implemented. A performance comparison of the models revealed that the predictive model using the CNN provided the best performance with regard to predictive power, followed by the model using the TF-IDF, and then the model using semantic network analysis. In particular, a character-level CNN and a word-level CNN were developed separately, and the character-level CNN exhibited better performance, according to an analysis for the Korean language. Moreover, a systematic selection model for optimal text mining techniques was proposed, suggesting which analytical technique is appropriate for analyzing text data depending on the context. This study also provides evidence that the results of previous studies, indicating that individual customers leave when their loyalty and switching cost are low, are also applicable to corporate customers and suggests that VOC data indicating customers' needs are very effective for predicting their behavior.