• Journal of Families and Better Life
• /
• v.33 no.4
• /
• pp.51-65
• /
• 2015

Case management is becoming increasingly more important in the field of social welfare. The purpose of this study was to examine the practice of case management at community child centers and to identify factors influencing their performance. In addition, this study also analysed the performance level of case management at each stage and the factors influencing the level at each stage. For the purpose of this study, data obtained from about 181 community child center workers in Busan, Ulsan and Gyeongsangnamdo were analyzed. According to the results of the analysis, in Model 1 which represents the category of socio-demographic and personal factors, three factors namely gender, experience in case management, and interpersonal skills were found to be significantly influential and they have an explanatory power of 21.5%. Under the category of organizational factors in Model 2, four factors were found to be influential: experience in case management, interpersonal skills, availability of case management guidelines, and holding case conferences. These factors account for 33% explanatory power, 11.5% higher than that of Model 1. In Model 3 which represents the third category of community network literacy, three factors namely interpersonal skills, availability of case management guidelines, and ability to utilize networks were found to influence case management at community child centers, and they have an explanatory power of 43.4%, 10.4% higher than that of Model 2. For the practice of social welfare, these findings have the implication that community child center workers need to improve their interpersonal skills by cultivating communication skills, collaborative problem-solving skills, conflict-management skills, and other relevant skills. Furthermore, it is necessary to provide specific guidelines for case management, to have regular case conferences, to establish a community network, and to reinforce cooperation and mutual support among institutions within the network.

• Journal of the Korea Convergence Society
• /
• v.8 no.2
• /
• pp.183-196
• /
• 2017

The purpose of this study is to investigate the effectiveness of case management in child welfare facilities to determine what the inhibiting factors as well as complementary factors are. For this purpose, data from 181 workers in community children's centers and 96 workers in child protection agencies and foster care centers were analyzed, the analyzed by using SPSS 21.0 program. In the case of community children's center interpersonal skills, case management guidelines, super vision, and network utilization were the influential factors while in other child welfare facilities, personal inhibitory factors, social welfare work experience, case management experience, and network utilization were the affecting factors. The implications reveal that social welfare practice should enhance the interpersonal skills of the workers, strengthen the supervision system, and provide a clear case management guideline. It is also important to set up a network of all local child welfare facilities and strengthen cooperation and mutual support among the institutions within the network.

• Journal of Information Technology Applications and Management
• /
• v.12 no.1
• /
• pp.241-259
• /
• 2005

This study explores a model of partnership to the success of outsourcing CTI(computer telephony integration) based customer service centers of a telecommunication service company. The motivation of the study is to extend the research on IT outsourcing to IT-enabled BPO of customer service centers as a specific IT outsourcing practice. Previous research on IT outsourcing partnership and success is reviewed for developing an a research model of IT-enabled BPO. This model is proposed based on the previous partnership success models in information systems research. The results of the study confirm major factors related to successful IT-enabled BPO in previous research. Especially, the specificity of a contract and strategic collaboration in partnership are found to be influential on the success of IT-enabled BPO.

• The Journal of the Korea Contents Association
• /
• v.15 no.3
• /
• pp.438-447
• /
• 2015

When communities of practice(CoP) was mostly informal, has been formulated. Because Knowledge management(KM) was emphasized in the business sector. So it increase interest in the COP. Since the early 2000s, the research interest has thus far grown. At a point in time has the subject, CoP, been researched for ten years, it is significant to review the literatures, the main topics as well as critical factors on the subject. In this study, the trends in the relevant researches and the performance factors from the previous studies are examined. The references for this study are limited to the authorized scholarly and scientific journals. The results therethrough processed show that total 37 researches were conducted between the year 2000 and 2012. These could be classified by the research methods as 16 case studies, 11 studies using CoP as the dependent variable, 4 studies using CoP as an independent variable and 3 theoretical discourses. 7 out of 16 case studies suggest the 14 success factors of CoP; the most influential performance factor is the external community support. 11 studies examined factors influencing the performance of CoP; 13 performance factors were proposed in these studies. The most significant factor influencing the performance of CoP is the team effectiveness.

• Journal of Digital Convergence
• /
• v.20 no.5
• /
• pp.39-46
• /
• 2022

As the link between traffic accidents and social and economic losses has been confirmed, there is a growing interest in developing safety policies based on crash data and a need for countermeasures to reduce severe crash outcomes such as severe injuries and fatalities. In this study, we select Daejeon city where the relative proportion of fatal crashes is high, as a case study region and focus on the severity of pedestrian crashes. After a series of data manipulation process, we run machine learning algorithms for the optimal model selection and variable identification. Of nine algorithms applied, AdaBoost and Random Forest (ensemble based ones) outperform others in terms of performance metrics. Based on the results, we identify major influential factors (i.e., the age of pedestrian as 70s or 20s, pedestrian crossing) on pedestrian crashes in Daejeon, and suggest them as measures for reducing severe outcomes.

• Journal of Digital Convergence
• /
• v.12 no.12
• /
• pp.93-106
• /
• 2014

All of smart phone users not always make a good use of mobile shopping. The main cause is that in case of non-user of mobile shopping, potential apprehension to psychological and security weakness affects building up resistance on mobile shopping. In this paper, we designed models of innovation resistance heavily based on literature reviews and previous studies, and tried to find how perceived risk affects consumer's purchase intention in mobile shopping process. In conclusion, it shows that security, one of psychological factors, affects perceived risk in all aspects, while negative influence of society and cognitive dissonance just affect social risk and delivery risk, and uncertainty also just affects performance risk. Besides, it shows that all of variables made up perceived risk affects resistance of purchase. Especially social risk turns out to be a most influential factor to purchase behavior through smart phone.

• The Journal of Society for e-Business Studies
• /
• v.19 no.4
• /
• pp.231-249
• /
• 2014

We define $21^{st}$ century as an amalgamation of globalization and localization, or Glocalization. Additionally, due to the increasing supply of smart phones and wide usage of social networking services, the ability to utilize such global and regional information has increased a coperation's competitiveness in its market, and even the business models have evolved from the conventional "production and distribution" to E-commerce, through which either a direct or a non-direct transaction is possible. My hypothesis is that the ability to adapt to this trend is possible through transfer of learning, and consequently, this will have an impact on company's performance. Thus, this thesis analyzes the mid- to the long-term impact of such ability and environmental factors on the performance and technology innovation of Korean companies in China. Ultimately, this study intends to engender a basic foundation for a corporation's management strategy in China. Finally this research focuses on those Korean companies in China only and on the proof of influential factors' impact on technological innovation and technological innovation's impact on those corporations' future performances. Section I is an abstract and section II, the case examines the uniqueness and current status of Korean companies in China identifies the concept and the definition of influential factors such as education-orientation, technological innovation, and performance, and then scrutinizes each factors through a closer look at their past researches. Section III explains the thesis model, the survey's method and target, the thesis, variable factors, the content, and the method of analysis. In section IV, the thesis is proved based on the outcome of the survey. The result in Section V highlights the high comprehension of technological innovation: both education-orientation and technological innovation prove to have a positive (+) correlation with the performance. The vision on education orientation proves to have a positive (+) influence on technological innovation. The vision on education-orientation and technological innovation prove to have a positive (+) influence individually on company's performance.

• Agribusiness and Information Management
• /
• v.8 no.1
• /
• pp.17-26
• /
• 2016

India is largest producer of banana in the world producing 29.72 million tonnes from an area of 0.803 million ha with a productivity of 35.7 MT ha-1 and accounted for 15.48 and 27.01 per cent of the world's area and production respectively (www.nhb.gov.in). In India, Tamil Nadu leads other states both in terms of area and production followed by Maharashtra, Gujarat and Andhra Pradesh. In Rayalaseema region of Andhra Pradesh, Kurnool district had special reputation in the cultivation of banana in an area of 5765 hectares with an annual production of 2.01 lakh tonnes in the year 2012-13 and hence, it was purposively chosen for the study. On $23^{rd}$ November 2003, the Government of Andhra Pradesh has commenced a comprehensive project called 'Andhra Pradesh Micro Irrigation Project (APMIP)', first of its kind in the world so as to promote water use efficiency. APMIP is offering 100 per cent of subsidy in case of SC, ST and 90 per cent in case of other categories of farmers up to 5.0 acres of land. In case of acreage between 5-10 acres, 70 per cent subsidy and acreage above 10, 50 per cent of subsidy is given to the farmer beneficiaries. The sampling frame consists of Kurnool district, two mandals, four villages and 180 sample farmers comprising of 60 farmers each from Marginal (<1ha), Small (1-2ha) and Other (>2ha) categories. A well structured pre-tested schedule was employed to collect the requisite information pertaining to the performance of drip irrigation among the sample farmers and Data Envelopment Analysis (DEA) model was employed to analyze the performance of drip irrigation in banana farms. The performance of drip irrigation was assessed based on the parameters like: Land Development Works (LDW), Fertigation costs (FC), Volume of water supplied (VWS), Annual maintenance costs of drip irrigation (AMC), Economic Status of the farmer (ES), Crop Productivity (CP) etc. The first four parameters are considered as inputs and last two as outputs for DEA modelling purposes. The findings revealed that, the number of farms operating at CRS are more in number in other farms (46.66%) followed by marginal (45%) and small farms (28.33%). Similarly, regarding the number of farmers operating at VRS, the other farms are again more in number with 61.66 per cent followed by marginal (53.33%) and small farms (35%). With reference to scale efficiency, marginal farms dominate the scenario with 57 per cent followed by others (55%) and small farms (50%). At pooled level, 26.11 per cent of the farms are being operated at CRS with an average technical efficiency score of 0.6138 i.e., 47 out of 180 farms. Nearly 40 per cent of the farmers at pooled level are being operated at VRS with an average technical efficiency score of 0.7241. As regards to scale efficiency, nearly 52 per cent of the farmers (94 out of 180 farmers) at pooled level, either performed at the optimum scale or were close to the optimum scale (farms having scale efficiency values equal to or more than 0.90). Majority of the farms (39.44%) are operating at IRS and only 29 per cent of the farmers are operating at DRS. This signifies that, more resources should be provided to these farms operating at IRS and the same should be decreased towards the farms operating at DRS. Nearly 32 per cent of the farms are operating at CRS indicating efficient utilization of resources. Log linear regression model was used to analyze the major determinants of input use efficiency in banana farms. The input variables considered under DEA model were again considered as influential factors for the CRS obtained for the three categories of farmers. Volume of water supplied ($X_1$) and fertigation cost ($X_2$) are the major determinants of banana farms across all the farmer categories and even at pooled level. In view of their positive influence on the CRS, it is essential to strengthen modern irrigation infrastructure like drip irrigation and offer more fertilizer subsidies to the farmer to enhance the crop production on cost-effective basis in Kurnool district of Andhra Pradesh, India. This study further suggests that, the present era of Information Technology will help the irrigation management in the context of generating new techniques, extension, adoption and information. It will also guide the farmers in irrigation scheduling and quantifying the irrigation water requirements in accordance with the water availability in a particular season. So, it is high time for the Government of India to pay adequate attention towards the applications of 'Information and Communication Technology (ICT) and its applications in irrigation water management' for facilitating the deployment of Decision Supports Systems (DSSs) at various levels of planning and management of water resources in the country.

• Korean small business review
• /
• v.39 no.1
• /
• pp.1-39
• /
• 2017

The first generation of the business that had been founded in 1960~1970s faces the situation to consider the succession of the family business developed by devotion of their whole lives in the critical timing to the next generation. In the process of selecting the party of family business succession, it is required to consider a variety of succession types including smooth transfer to the other family member or the employee of the company, selling the company, or hiring external specialist. Foreign countries acknowledge the importance of the succession in the family owned company to perform multiple studies on the influential factors to the succession, distinction, and types of family business succession; and they utilize the results for the related policy development and the support of family owned business succession. However, few studies have been conducted on the succession of the domestic family owned business and majority of them are related to the types of succession. Considering its share and influential power in the domestic economy, it is necessary to develop the guideline and the policies to solve many issues on the succession of the family owned business by systemic studies. Hence, the impact of the main characteristics in the family owned business on the types of its succession was analyzed in this study focusing on five domains of Socioemtional Wealth (SEW) in view of Behavioral Agency Theory by Gomez-Mejia et al. (2007) using the data from 540 family owned small-to-medium sized businesses so as to analyze the issues on their business succession. Upon the empirical analysis results, it was confirmed that they were influenced to the selection of succession type by family succession > internal employee succession > external succession, for the variables of social contribution which were non-financial characteristics, internal employee succession > family succession > external succession for the intellectual properties, and family succession > external succession for the management participation of the family. The distinction of social contribution were influenced the most to the selection of the succession types. Financial factors, business performance, and R&D investment variables were not significantly influenced to their selection of the succession types. In case of simultaneous management, the family succession rate was high and it showed the control effect to strengthen selecting family owned business with R&D investment, social contribution, and company history variables. The behavioral agency theory used in this study was confirmed with high explanation power on the family owned business succession. The family owned business showed the tendency to maintain SEW, and non-financial factors such as accumulated know-how and social contribution based on the long term history were significantly affected to the succession in the small-to-medium sized family owned businesses, unlike general large sized listed companies. The results of this study are expected to be helpful practically for the succession of the family owned business and to suggest the guideline for the development of governmental policy.