• Title/Summary/Keyword: social sciences

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Determinant Factors of Donation Intention and the Role of Religiosity: A Case Study in Indonesia

  • SUSANTO, Agus;SUHARYONO, Suharyono;MUSADIEQ, Mochammad Al;IQBAL, Mochammad
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.5
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    • pp.1155-1169
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    • 2021
  • This study will explain the determinants factors that can increase donation behavior in public funding. The originality of this study is the use of Agreeableness Personality and Social Exclusive as predictors in Theory of Planned Behavior. Besides that, this study involves Attitude, Perceived Behavioral Control, Religiosity, Intention to Donate, and Donation Behavior. The population of this research is all people registered as active participants of BPJAMSOSTEK in East Java Province, of which 400 people are used as samples. The data analysis method used to test the hypothesis is SEM, which was conducted by utilizing the WarpPLS 6.0 software. The study found that Agreeableness Personality significantly had a positive effect on Attitude and Perceived Behavior Control, while Social Exclusive only significantly had a positive effect on Perceived Behavior Control. Attitude and Perceived Behavior Control influence the Intention to Donate positively, then consequently had a positive effect on Donation Behavior. Religiosity tends to strengthen the influence of the Intention to Donate to Donation Behavior. To improve donation behavior in the general public, BPJAMSOSTEK must organize a form of labor protection efforts to bring prosperity to all workers in Indonesia.

A Comparative Study on Environmental Education Curricula in the Forest Sciences of Korean and German Universities (우리나라와 독일 대학 산림과학과 환경교육 교육과정 비교 연구)

  • 박미선;김종욱
    • Hwankyungkyoyuk
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    • v.15 no.2
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    • pp.49-60
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    • 2002
  • This is a comparative study on environmental education curricula in the forest sciences of korean and german universities. The purpose of this study is to identify the developmental process, structure and content of environmental education(EE) explained by the forest sciences curricula from the two countries and to offer a simultaneous comparison, focusing on the four social variables and seven criteria of comparability in environmental education curricula. For the purpose of this study, the cross-disciplinary approach of George Z. F Bereday was employed. Environmental education curricula of two countries was analysed in the social context through the four phases of comparative procedure; the description, interpretation, juxtaposition and comparison. EE has been taught in the forest sciences of Korea and Germany since the middle 1990s. In forest sciences of two countries, EE was developed in relation to social needs and considered as a form of forest policy. Both korean and german forest sciences curricula include EE for the students to understand the theories and practices of EE as the application of the forest science. In process of EE, the students of two countries develop EE programs. German curricula have more seminars and practices than korean curricula. And various experts participate in education programs. The forest sciences of Korea focus on Environmental Interpretation which raises the quality of visitors' experiences in forest recreation. Contacting with nature(lived experiences) is a important factor in Korean EE. On the other hand, the forest sciences of Germany focus on forest education as a form of public relations and also as a form of EE. In Germany, there are various approaches to forest education; philosophy, ethics, psychology, natural science, forest policy, forest history, education and so on. Forest education includes the multiple levels.

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The Effects of Fit and Social Construction on Individual Performance

  • Im, Ghi-Young
    • 한국경영정보학회:학술대회논문집
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    • 2008.06a
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    • pp.29-34
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    • 2008
  • This study examines the effects of information and communication technologies on individual performance. The literature has paid a considerable amount of attention to social influence as a determinant of individual behavior. We combine task-technology fit with concepts from adaptive structuration theory to specify social influence. In our model, we suggest that individuals should receive support from proper social construction to have additional performance improvement. Empirical data from 317 individuals across 43 teams in 10 companies is used to assess the theoretical model. Our theoretical model received support from the data.

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Service System of Social Network with CRM Application (CRM 어플리케이션에서의 소셜 네트웍의 서비스 시스템)

  • Mohan, Subaji;Upadhyaya, Bipin;Choi, Eun-Mi
    • Information Systems Review
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    • v.12 no.1
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    • pp.1-22
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    • 2010
  • Demands onenterprise applications are changing drastically in terms of service and value. Currently enterprises have started to view these applications as service systems, as they combine technology with organizational networks designed to deliver services that satisfy the needs of customers and marketing operations. Social networking is playing a crucial role in this direction and provides organizations with the critical data that enable to build strong relationships with their customers and partners. Enterprises have started using this concept, by integrating social networking services with their enterprise applications such as CRM. In this paper, we combine an open source social networking engine with a CRM (Customer Relationship Management) application to constitute a social CRM system. This can bring the customers closer to the enterprise and facilitate better communication with them. Social Networking Analysis constructs were used to analyze the effectiveness of service system. In the current competitive and economically challenging conditions, salespeople needs to quickly and effectively establish meaningful communication with customers. Our approach can address this issue, by handling the changing customer demands in minimal time, and increases service quality and business value.

Traffic Offloading Algorithm Using Social Context in MEC Environment (MEC 환경에서의 Social Context를 이용한 트래픽 오프로딩 알고리즘)

  • Cheon, Hye-Rim;Lee, Seung-Que;Kim, Jae-Hyun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.42 no.2
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    • pp.514-522
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    • 2017
  • Traffic offloading is a promising solution to solve the explosive growth of mobile traffic. One of offloading schemes, in LIPA/SIPTO(Local IP Access and Selected IP Traffic Offload) offloading, we can offload mobile traffic that can satisfy QoS requirement for application. In addition, it is necessary for traffic offloading using social context due to large traffic from SNS. Thus, we propose the LIPA/SIPTO offloading algorithm using social context. We define the application selection probability using social context, the application popularity. Then, we find the optimal offloading weighting factor to maximize the QoS(Quality of Service) of small cell users in term of effective data rate. Finally, we determine the offloading ratio by this application selection probability and optimal offloading weighting factor. By performance analysis, the effective data rate achievement ratio of the proposed algorithm is similar with the conventional one although the total offloading ratio of the proposed algorithm is about 46 percent of the conventional one.

Gender and Social Disparities in Esophagus Cancer Incidence in Iran, 2003-2009: A Time Trend Province-level Study

  • Kiadaliri, Aliasghar Ahmad
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.2
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    • pp.623-627
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    • 2014
  • Background: Esophagus cancer (EC) is among the five most common cancers in both sexes in Iran, with an incidence rate well above world average. Social rank (SR) of individuals and regions are well-known independent predictors of EC incidence. The aim of current study was to assess gender and social disparities in EC incidence across Iran's provinces through 2003-2009. Materials and Methods: Data on distribution of population at province level were obtained from the Statistical Centre of Iran. Age-standardized incidence rates of EC were gathered from the National Cancer Registry. The Human Development Index (HDI) was used to assess the province social rank. Rate ratios and Kunst and Mackenbach relative indices of inequality ($RII_{KM}$) were used to assess gender and social inequalities, respectively. Annual percentage change (APC) was calculated using joinpoint regression. Results: EC incidence rate increased 4.6% and 6.5% per year among females and males, respectively. There were no gender disparities in EC incidence over the study period. There were substantial social disparities in favor of better-off provinces in Iran. These social disparities were generally the same between males and females and were stable over the study period. Conclusions: The results showed an inverse association between the provinces' social rank and EC incidence rate in Iran. In addition, I found that, in contrast with international trends, women are at the same risk of EC as men in Iran. Further investigations are needed to explain these disparities in EC incidence across the provinces.

Hierarchical Visualization of Cloud-Based Social Network Service Using Fuzzy (퍼지를 이용한 클라우드 기반의 소셜 네트워크 서비스 계층적 시각화)

  • Park, Sun;Kim, Yong-Il;Lee, Seong Ro
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38B no.7
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    • pp.501-511
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    • 2013
  • Recently, the visualization method of social network service have been only focusing on presentation of visualizing network data, which the methods do not consider an efficient processing speed and computational complexity for increasing at the ratio of arithmetical of a big data regarding social networks. This paper proposes a cloud based on visualization method to visualize a user focused hierarchy relationship between user's nodes on social network. The proposed method can intuitionally understand the user's social relationship since the method uses fuzzy to represent a hierarchical relationship of user nodes of social network. It also can easily identify a key role relationship of users on social network. In addition, the method uses hadoop and hive based on cloud for distributed parallel processing of visualization algorithm, which it can expedite the big data of social network.