Information For Government Agencies Research Articles

텍스트 마이닝 기법을 활용한 코로나-19 펜데믹 발생 이전과 이후 스타트업 성장요인에 관한 인식변화 연구

The purpose of this study is to investigate and analyze the changes in social perceptions of startup growth factors in the period before and after the COVID-19 pandemic using text mining techniques, and to provide useful information for government agencies' policy formulation and companies' decision-making for startup growth in the post-COVID-19 era. The TEXTOM program was used to collect and analyze the data. The analysis methods used were word cloud analysis and frequency analysis through text mining, TF-IDF analysis, N-gram analysis, ego network analysis, and CONCOR analysis. The results of the analysis showed that the words that changed significantly after the outbreak of the COVID-19 pandemic were “finance” from 6th to 12th, “startup” from 10th to 20th, “scale-up” from 16th to 4th, and “innovation” from 17th to 11th. Keywords such as “big business”, “government”, and “economic growth” have not appeared in the top 30 keyword impression frequency since the outbreak of the COVID-19 pandemic. This indicates that the external environmental shocks brought by the COVID-19 pandemic require new ways of growth and innovation, and that startup growth has shifted from 'exogenous structural changes' such as government support to 'autogenous structural changes' based on the startup ecosystem. In addition, since the outbreak of the COVID-19 pandemic, words related to startup growth strategies such as “accelerator”, “power”, “growth platform”, “follow-up support”, “need”, “secure”, “technology”, “barrier”, “foundation”, “market creation”, and “economy” have appeared. Through the CONCOR analysis, we concluded that social interest in the growth of startups is increasing amidst the low growth of the Next Normal, and that internal resource capacity enhancement and the scale-up ecosystem, an environmental factor that can support it, and horizontal networks among firms are key factors as the main drivers of startup growth, and discussed theoretical, policy, and practical implications based on this. Finally, we discuss the limitations and future directions of this study.

The Impact of Retirement Resources on U.S. Older Female Workers’ Retirement Timing: Theory of Planned Behavior Model

For older workers, having a retirement plan is important for a successful transition. Social awareness of the problems encountered by older women during retirement remains low. Women have limited retirement resources due to their unequal work experience, and older women with access to fewer retirement resources often postpone their retirement. This research examined how the timing of older women’s retirement was influenced by their retirement resources as well as their marital status. The study used 2014 HRS and RAND data, and collected sample of women aged 50-62 years old who worked either full or part time (n=3,593). Respondents were female (56%), white (63%), married (70%), and working full time (82%). Guided by the theory of planned behavior (TPB), multiple regression analysis examined gender differences in predicting older adults' retirement timing. TPB included three sub factors: attitudes toward retirement, subjective norm, and perceived behavioral control. Logistic regression analyzed the effects of respondents’ expectations of retirement (i.e., with vs without expected timing). The findings indicated that the TPB model works similarly for men and women but there is a difference according to marital status. Unmarried women are less likely to have accumulated financial resources and more likely to anticipate a later retirement (1.4 years) than married women and are also less likely to set an expected timing for retirement (p<05). Such a robust research agenda would provide key information for government agencies and policymakers and contribute to the development of retirement planning models or retirement education programs for older women.

The Impact of Retirement Resources on U.S. Older Female Workers’ Retirement Timing: Theory of Planned Behavior Model

Most global cities, like Toronto, have rapidly aging populations who want to remain in homes and communities of their choice. Concurrently, seniors face vulnerabilities associated with low income, ageism, social isolation and loneliness. These vulnerabilities inhibit many seniors’ desires to age-in-place. The Toronto HomeShare Program, an intergenerational homesharing program facilitates aging-in-place by matching seniors with post-secondary students. The program, with an implementation focus and a research study, was developed to address and understand the needs of seniors seeking assistance, light supports and companionship at home, in exchange for reduced-rent housing for students. A mixed methods research design was employed. Seniors and students (n=22) completed a 167 question survey (n=22) and in-depth interviews (n=18). Quantitative data yielded descriptive statistics and qualitative data was subject to thematic content analysis. Participants agreed that homesharing programs could address risk for social isolation (95%), the need to move from their community (96%), and reduce risks of economic and social exclusion for young and old (97%). From the qualitative data, six benefits were apparent for all participants: (1) reduced social isolation and loneliness, (2) increased intergenerational exchange, (3) increase financial security, (4) household assistance, (5) increased general wellbeing; (6) enhanced companionship/safety. In 2020, Toronto HomeShare (now Canada HomeShare) was recognized by the World Health Organization as an age-friendly best practice, and has been scaled nationally in 16 cities. Intergenerational homesharing programs could be a catalyst for policy and cultural reform and to support older adults to not only remain in their communities, but to thrive-in-place.

Scientific and practical approachеs of formation of logistic innovative systems in pharmaceutical companies

The aim of the work is to analyze and generalize the existing scientific approaches and substantiate the mechanisms of formation of the logistics innovation system of the pharmaceutical company, which is the most important condition for creating modern effective domestic drugs under optimal use of resources and time.Materials and methods. Studies were conducted using databases on the Internet: the State Expert Center, the Ukrainian Patent Office, scientific and metric databases. It has used retrospective, logical, graphic research methods, content analysis.Results. The relevance of the implementation of the logistics concept of innovation management in domestic pharmaceutical companies is substantiated. A key aspect of this concept is the integration of individual parts of the innovation process through the maximum use of information exchange between participants in this process, active innovation, use of existing and creation of new knowledge, which become the main asset of innovation-oriented pharmaceutical company. The essence of the logistics innovation system of a pharmaceutical company is determined, the model of interrelations within the open logistics innovation system of a pharmaceutical company is substantiated. It is proved that with the help of a logistics innovation system it is possible to carry out planning, management, actualization of creation and implementation of innovative medicines at the optimal level of used resources and time for the implementation of relevant innovation projects. It is determined that the logistics innovation system of a pharmaceutical company is related to the management of incoming information and innovation flow (results of basic and applied research, data on clinical and preclinical study of medicines, pharmaceutical development), internal information and innovation flow (information exchange in the internal environment - resource, scientific and informational, organizational, personnel component), the initial information and innovation flow (information for government agencies, consumers, suppliers, the public, organizations interested in using the research results). These flows are integrated and relate to various aspects of the company's innovation.Conclusions. Thus, in order to intensify and activize innovation in domestic pharmacy, it is promising to expand the scope of logistics methods for the development and implementation of innovative medicines. The purpose of the logistics innovation system is to provide the pharmaceutical company with the information necessary for completeness, relevance, reliability, timeliness at a rational cost of their provision, for effective management of material resources

Exploring information quality dimensions of government agency's information services through social media: a case of the Ministry of Education and Culture in Indonesia

In this digital age, information services have been considered as one vital aspect of modern lives. Along with the dramatic increase of social media users, some government agencies have chosen this new media as information services delivery channel. One important aspect that affects user satisfaction of information services through social media is information quality. Hence, this study aims to investigate information quality dimensions that affect user satisfaction of government's information services through social media using a case study of the Ministry of Education and Culture (Kemdikbud) in Indonesia. Thus, data of 150 respondents were collected through a survey towards the agency's social media followers. This study found that intrinsic information quality, namely accuracy, believability, reputation and objectivity, is essential to user satisfaction. In terms of representational quality, ease of understanding and interpretability is considered crucial while in the contextual information quality, completeness, timeliness, informativeness and value-added is deemed important.

Application of the Cost benefit analysis in the evaluation and selection of public projects (financial aspect)

The cost-benefit analysis is a very useful tool for the evaluation and selection of public projects, especially those with a life expectancy of 30 or more years, such as: building hospitals, irrigation canals, bridges, tunnels, development and production of new funds and new weapons and military equipment (WME), etc. The analysis can also be applied in the private sector for the evaluation of projects which are in one part financed by state funds or through loans when enterpeneurs or companies doe not show interest or do not have sufficient funds for the realization of projects (for opening schools, theaters, etc). The cost-benefit analysis provides information for government agencies and commercial banks about the profitability of investments, without which they cannot make a decision of financial support for the project realization. The selection of the best investment alternatives is realized on the basis of financial and economic analyses as two integral parts of the cost-benefit analysis. The content of this paper is the financial analysis that examines the financial viability of the project only from the standpoint of the sponsor and financier. In one of the next issues of the journal, we will also process the economic analysis as well as a complete analysis of the effectiveness of the project.

Online government advisory service innovation through Intelligent Support Systems

Motivated by lessons learnt from countries with a high e-government readiness index, we used the lens of ‘empowerment’ to understand the ways in which online Intelligent Support Systems can be successfully developed. We found that decision transparency and decision making satisfaction played key roles providing a higher sense of empowerment to the public, including their having a greater perceived power relationship with the government agency and a better feeling of being in control. This approach has improved citizens’ positive perceptions of the government agencies as service providers. These findings make a strong case for the investment in the ISS and have provided useful information for government agencies who wish to develop or improve their online advisory services.

Recruiting Patients With Breast Cancer and Their Families to Behavioral Research in the Post-HIPAA Period

To describe a process for, response rates of, and indicated interest in recruiting patients with breast cancer and their spouses and family members from a clinical setting into behavioral and psychiatric research studies since the Health Insurance Portability and Accountability Act (HIPAA) regulations have taken effect. Published articles, books and book chapters, MEDLINE, government agency information and HIPAA regulatory Web sites, and survey data. Response rates among the three target groups--patients, spouses and partners, and female first-degree relatives--were 77%, 95%, and 88%, respectively. Interest was high in the three target groups, with 77%, 87%, and 65% of responding patients, spouses and partners, and female first-degree relatives, respectively. Taken together, these data indicate that high participation rates can be expected from patients with breast cancer and their families in clinical settings. Regulations pose barriers to patient and family recruitment, but thoughtful systems actually can improve rates of recruitment.