• Title/Summary/Keyword: Social Support of Dedicated Workforce

Search Result 2, Processing Time 0.016 seconds

The Relationship between Psychological Exhaustion and Turnover Intention of PAS Assistants for Disabled People: Focusing on Mediating Effects of Social Support of Dedicated Workforce (장애인 활동지원사의 심리적 소진과 이직의도의 관계 : 전담인력의 사회적 지지 매개효과를 중심으로)

  • Chung, Sae-bom;Jun, Joo-Ram;Lim, Hae-Young
    • The Journal of the Korea Contents Association
    • /
    • v.20 no.3
    • /
    • pp.309-323
    • /
    • 2020
  • The purpose of this study is to examine the structural relationship between psychological exhaustion, turnover intention, and social support of the dedicated workforce in order to investigate the effects of social support on psychological exhaustion, turnover intention of PAS assistant. Based on the results of the study, this study attempted to make the basic data for devising method to alleviate the intention to turnover of disabled PAS assistant. It was intended to help improve the quality of the activity support service. For this purpose, a questionnaire consisting of psychological exhaustion, turnover intention, and social support measures was conducted to 274 PAS Assistants of 11 service agencies in Seoul to verify the mediating effect of social support. In this study, the psychological exhaustion of PAS Assistants's showed a positive correlation, and the social support of the dedicated personnel perceived by the PAS Assistants's showed a negative correlation with the psychological exhaustion. Also, the social support of the dedicated workforce partially mediated the causal relationship between psychological exhaustion and turnover intention. The results of this study suggests that the social support of the dedicated personnel dedicated to support activities is high in reducing the psychological burnout and turnover intention of the PAS Assistant, it means that the social support of a dedicated workforce is an important resource in reducing the turnover intention.

ICT Company Profiling Analysis and the Mechanism for Performance Creation Depending on the Type of Government Start-up Support Program (정부창업지원 프로그램 참여에 따른 ICT 기업 프로파일링과 성과창출 메커니즘)

  • Ha, Sangjip;Park, Do-Hyung
    • Journal of Intelligence and Information Systems
    • /
    • v.28 no.3
    • /
    • pp.237-258
    • /
    • 2022
  • As the global market environment changes, the domestic ICT industry has a growing influence on the world economy. This industry is regarded as an important driving force in the national economy from a technological and social point of view. In particular, small and medium-sized enterprises (SMEs) in the ICT industry are regarded as essential actors of domestic economic development in terms of company diversity, technology development and job creation. However, since it is small compared to large-sized enterprises, it is difficult for SMEs to survive with a differentiated strategy in an incomplete and rapidly changing environment. Therefore, SMEs must make a lot of efforts to improve their own capabilities, and the government needs to provide the desirable help suitable for corporate internal resources so that they can continue to be competitive. This study classifies the types of ICT SMEs participating in government support programs, and analyzes the relationship between resources and performance creation of each type. The data from the "ICT Small and Medium Enterprises Survey" conducted annually by the Ministry of Science and ICT was used. In the first stage, ICT SMEs were clustered based on common factors according to their experiences with government support programs. Three clusters were meaningfully classified, and each cluster was named "active participation type," "initial support type," and "soloist type." As a second step, this study compared the characteristics of each cluster through profiling analysis for each cluster. The third step carried out in this study was to find out the mechanism of R&D performance creation for each cluster through regression analysis. Different factors affected performance creation for each cluster, and the magnitude of the influence was also different. Specifically, for "active participation type", "current manpower", "technology competitiveness", and "R&D investment in the previous year" were found to be important factors in creating R&D performance. "Initial support type" was identified as "whether or not a dedicated R&D organization exists", "R&D investment amount in the previous year", "Ratio of sales to large companies", and "Ratio of vendors supplied to large companies" contributed to the performance. Lastly, in the case of "soloist type", "current workforce" and "future recruitment plan", "technological competitiveness", "R&D investment", "large company sales ratio", and "overseas sales ratio" showed a significant relationship with the performance. This study has practical implications of showing what strategy should be established when supporting SMEs in the future according to the government's participation in the startup program and providing a guide on what kind of support should be provided.