창업의도에 관한 실증연구는 지난 수년간 다양한 관점에서 진행되어왔다. 최근에는 COVID-19 팬데믹의 여파로 전 세계적으로 경기가 침체되면서 실업률이 증가하고 있으며 창업이 고용 창출의 대안으로 떠오르고 있다. 창업의도에 긍정적인 영향을 주는 수많은 선행 변수들이 있지만, 본 연구에서는 창업자 개인의 특성이라 볼 수 있는 창업 자기효능감과 환경적 특성인 창업자 가족배경에 초첨을 맞추어 이 변수들이 창업의도에 미치는 영향에 대하여 고찰하였다. 본 연구는 스크리닝 질문을 통하여 창업교육을 받은 경험이 있는 사람을 대상으로 Prolific에서 300명의 글로벌 응답자에 대한 온라인 조사로 진행되었다. 창업자기효능감의 매개효과에 대한 연구는 국내 연구에서 다수 확인된 바가 있으므로 본 연구에서는 글로벌 샘플을 대상으로 하여 연구의 일반화를 도모하고자 한다. 본 연구의 결과를 요약하면 다음과 같다. 첫째, 창업지식습득은 창업의도에 긍정적인 영향을 미쳤다. 둘째, 창업자기효능감은 창업지식습득과 창업의도의 관계를 매개하였다. 셋째, 창업자 가족배경은 이 관계를 조절하였다. 구체적으로 살펴보면, 창업지식습득 수준이 낮을 때에는 창업자 가족배경의 낮고 높음에 상관없이 창업의도가 낮은 반면, 창업지식습득수준이 높을 때에는 창업자 가족배경이 낮을 때에 비하여 창업자 가족배경이 높은 경우에 창업의도가 증가하였다. 본 연구의 시사점은 다음과 같다. 첫째, 창업 준비 과정에서 창업교육이 창업의도를 향상하는데 필요한 조건이며, 성공적인 창업을 위해서는 지속적인 창업교육이 이루어져야 한다. 둘째, 창업지식습득 수준을 높일수록 창업자기효능감이 높아지고 궁극적으로 창업의도 또한 고양시킬 수 있다. 셋째, 가족 중에 창업 경험이 있는 경우 창업 심화 과정을 이수하도록 하여 창업자기효능감을 증진시켜 창업을 더욱 촉진할 수 있다. 결론적으로 대학생들의 창업 활성화를 위해서는 창업 활동, 창업 교육 등 창업 관련 프로그램 활성화가 중요하다. 따라서 교육기관은 학생들이 창업지식습득을 할 수 있는 기회를 더 많이 제공함으로써 창업자기효능감을 향상시키고, 이를 통하여 창업의도를 높일 수 있도록 다양한 수준의 창업프로그램을 개발하고 제공해야 한다. 또한 가족 중에 창업 경험이 있는 사람들을 위한 창업지원 정책이나 심화 교육 과정을 개발할 필요가 있다.
The levels of health knowledge, attitude and practice of housewives considerably effect to the health of households, communities and the nation. This study was designed to grasp the levels of health knowledge, attitude and practice of houswives and analyse the various factors effecting to health in order to provide health education services as well as materials for effective formulation and implementation of health policy to improve the health of the nation. This study has been conducted through interviews by trained surveyers for 4,281 housewives selected from 4,500 households throughout the country for 40 days during July 11-August 20, 1983. The results of survey were analysed by stepwise multiple regression and path analysis are summarized as follows; 1. Based on the measurement instrument applied to this study, the levels of health knowledge, attitude and practice of housewives were extremely low with 54.5 points out of 100 points in full. Higher level with 72 points and above was approximately 21 percent and lower level with 39 points and below was approx. 24 percent. The middle level was approx. 55 percent. In order to implement health programs successively, health education should be more strengthened and to improve the level of health knowledge, attitude and practice (KAP) of the nation, political consideration as a part of spiritual reformation must be concentrated on health. 2. The level of health knowledge indicated the highest points with 57.3 the level of attitude was the second with 55.0 points and the practice level was the lowest with 50.0 point. Therefore, planning and implementation of health education program must be based on the persuasion and motivation that health knowledge turn into practice. 3. Housewives who had higher level of health knowledge, showed their practice level was relatively lower and those who had middle or low level of it practice level was the reverse. 4. Correlations among health knowledge, attitude and practice (KAP) were generally higher and statistically significant at 0.1 percent level. Correlation between total health KAP level and health knowledge was the highest with r=.8092. 5. Health KAP levels showed significant differences according to the age, number of children, marital status, self-assessed health status and concern on health of the housewives interviewed (p<0.001) 6. Health KAP levels also showed significant differences according to the education level, economic status, employment before marriage and grown-up area of the housewives interviewed. (p<0.001) 7. Heath KAP levels showed significant differences according to health insurance benificiary and the existence of patients in the family. (p<0.001). 8. Health KAP levels showed significant differences according to distance to government organizations, schools, distance to health facilities, telephone possession rate, television possession rate, newspaper reading rate and activities of Ban meeting and Women's club. (p<0.001) 9. Health KAP levels showed significant differences according to electric mass communication media such as television, radio and village broadcasting etc. and printed media such as newspaper, magazine and booklets etc., IEC variables such as individual consultation and husband-wife communication, however, there was no significance with group training. 10. Health KAP of the housewives showed close correlation with personal characteristics variables, i.e., education level (r=.5302), age (r=-.3694) grown-up area (r=.3357) and employment before marriage. In general, correlation of health knowledge level was higher than the levels of attitude or practice. In case of health concern and health insurance, correlation of practice level was higher than health knowledge level. 11. Health KAP levels showed higher correlation with community environmental characteristics, Ban meeting and activity of Women's club, however, no correlation with New-village movement. 12. Among IEC variables, husband-wife communication showed the highest correlation with health KAP levels and printed media, electric mas communication media and health consultation in order. Therefore, encouragement of husband-wife communication and development of training program for men should be included in health education program. 13. Mass media such as electric mass com. and printed media were effective for knowledge transmission and husband-wife communication and individual consultation were effective for health practice. Group training was significant for knowledge transmission, however, but not significant for attitude formation or turning to health practice. To improve health KAP levels, health knowledge should be transmitted via mass media and health consultation with health professionals and field health workers should be strengthened. 14. Correlation of health KAP levels showed that knowledge level was generally higher than that of practice and recognized that knowledge was not linked with attitude or practice. 15. The twenty-five variables effecting health KAP levels of housewives had 41 per cent explanation variances among which education level had great contribution (β=.2309) and electric mass com. media (β=.1778), husband-wife communication (β=.1482), printed media, grown-up area, and distance to government organizations in order. Variances explained (R²) of health KAP were 31%, 15%, and 30% respectively. 16. Principal variables contributed to health KAP were education level (β=.12320, β=.1465), electric mass comm. media (β=.1762, β=.1839), printed media, (β=.1383, β=.1420) husband-wife communication (β=.1004, β=.1067), grown-up area and distance to government organizations, in order. Since education level contributes greatly to health KAP of the housewives, health education including curriculum development in primary, middle and high schools must be emphasized and health science must be selected as one of the basic liberal arts subject in universities. 17. Variences explained of IEC variables to health KAP were 19% in total, 14% in knowledge, 9% in attitude, and 10% in health practice. Contributions of IEC variables to health KAP levels were printed media (β=.3882), electric mass comm media (β=.3165), husb-band wife com. (β=.2095,) and consultation on health (β=.0841) in order, however, group training showed negative effect (β=-.0402). National fund must be invested for the development of Health Program through mass media such as TV and radio etc. and for printed materials such as newspaper, magazines, phamplet etc. needed for transmission of health knowledge. 18. Variables contributed to health KAP levels through IEC variables with indirect effects were education level (Ind E=0.0410), health concern (Ind E=.0161), newspaper reading rate (Ind E=.0137), TV possession rate and activity of Ban meeting in order, however, health facility showed negative effect (Ind E=-.0232) and other variables showed direct effect but not indirect effect. 19. Among the variables effecting health KAP level, education level showed the highest in total effect (TE=.2693) then IEC (TE=.1972), grown-up city (TE=.1237), newspaper reading rate (TE=.1020), distance to government organization (TE=.095) in order. 20. Variables indicating indirect effects to health KAP levels were; at knowledge level with R²=30%, education level (Ind E=.0344), newspaper reading rate (Ind E=.0112), TV possession rate (Ind E=.0689), activity of Ban meeting (Ind E=.0079) in order and at attitude level with R²=13%, education level (Ind E=. 0338), activity of Ban meeting (Ind E=.0079), and at practice level with R²=29%. education level (Ind E=.0268), health facility (Ind E=.0830) and concern on health (Ind E=.0105). 21. Total effect to health KAP levels and IEC by variable characteristics, personal characteristics variables indicated larger than community characteristics variables. 22. Multiple Correlation Coefficient (MCC) expressed by the Personal Characteristic Variable was .5049 and explained approximately 25% of variances. MCC expressed by total Community environment variable was .4283 and explained approx. 18% of variances. MCC expressed by IEC Variables was .4380 and explained approx. 19% of variances. The most important variable effected to health KAP levels was personal characteristic and then IEC variable, Community Environment variable in order. When the IEC effected with personal characteristic or community characteristic, the MCC or the variances were relatively higher than effecting alone. Therefore it was identified that the IEC was one of the important intermediate variable.