• Title/Summary/Keyword: 중소기업 컨설팅

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Domestic and International Trends in Sodium Reduction and Practices (국내외 나트륨 저감화 동향 및 사례)

  • Kim, Sun-Hwa;Jeong, Yong-Jin
    • Food Science and Industry
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    • v.49 no.2
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    • pp.25-33
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    • 2016
  • 우리나라의 발효식품 산업의 규모는 2010년 약 4조 원으로 식품 산업 전체의 4.0%정도이며, 이 중 전통 발효식품이 50.0% 수준으로 전체 식품 산업 대비 비중은 2.0%에 불과하지만, 발효제품의 세계 시장 규모는 2000년 152억 달러, 2010년 730억 달러로 급속한 성장으로 확대되고 있다. 국내 소금시장의 규모는 2010년 기준 1,300억 원이며, 전 세계적으로 나트륨 대체 염미제의 시장수요는 절실히 필요한 실정으로, 최근 2,000억 원대 규모를 유지하고 있는 간장 시장에서 염도를 낮춘 '저염 간장'매출 성장세를 보이고 있어 소금을 줄이는 식생활 개선에 대한 교육 홍보와 더불어 '나트륨 저감화 식품 개발의 필요성'이 국민건강증진, 경제성 측면에서 날로 커지고 있다. 또한, 2007년부터 웰빙 열풍으로 자연조미료 제품의 비중이 크게 늘어나는 추세이며, 100% 천연재료로 사용하여 소비자용 제품 출시 등 다양한 변화를 가져온 결과, 자연조미료 시장은 2008년 151억 3,200만 원의 매출규모에서 215억 2,600만원으로 무려 42.3%를 차지했으며, 저염을 위하여 활용하는 저염 소금도 연령대가 높아질수록 선호도가 높아지는 있다는 보고가 있다. 식품의약안전처의 '나트륨 저감화 사업'은 2012년부터 연차별로 가공식품의 나트륨 저감화 가이드라인을 개발하여 가공식품 생산업체들의 참여를 유도하며, 다양한 홍보를 펼쳐 2014년 6월 기준으로 165개 제품의 나트륨이 저감화 되었으며, 2015년에는 95종의 면류제품의 나트륨 함량이 약 20% 이상 저감되는 실적을 보여주었다. 여러 지역자체 단체들은 지역의 특성을 최대한 살려 다양한 발효산업 육성을 진행하고 있음에 영남권의 장류 업체를 대상으로 나트륨 섭취량을 줄일 수 있도록 '경북 발효식품 수출농업기술지원단'은 식품의약품안전처와 연계하여 지속적으로 가공식품 중 나트륨 저감화에 노력을 할 것이며 이에 대기업과 함께 중소기업들의 참여도를 높이기 위해 현장 컨설팅을 지역적으로 실시할 계획으로 각 지역별 업체들의 참여도를 높일 계획이다. 이를 통해 전통 발효식품이 기능성을 유지하면서 나트륨 함량을 줄인 건강식품으로 우리나라 식품산업 발전에 기여하고자 노력할 것이다. 향후 발효산업 중 한류의 매운맛, 김치 등을 시작으로 고성장이 기대되는 세계화 전략 품목이며 지역 농산물을 활용한 발효식품 세계화를 위하여 나트륨 저감화는 반드시 선행되어야 할 것으로 생각된다.

The Influence of HR Department's Strategic Role on Organizational Effectiveness through Education and Training Satisfaction: Focusing on the Manufacturing Industry (HR부서의 전략적 역할이 교육훈련만족도를 매개로 조직유효성에 미치는 영향: 제조업을 중심으로)

  • Choi, Jae Won;Lee, Seok Kee;Kim, Sung-Dong
    • Journal of Digital Convergence
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    • v.19 no.6
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    • pp.175-184
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    • 2021
  • The purpose of this study is to investigate the effect of the strategic role of the human resources department in the manufacturing industry on organizational effectiveness through education and training satisfaction. Among the data from the 7th human capital company panel survey, data from the manufacturing industry were used and analyzed through a structural equation model. The results of this study are as follows: First, the strategic role of the HR department has a positive effect on satisfaction with education and training. Second, satisfaction with education and training and the strategic role of HR departments have a positive effect on job satisfaction among organizational effectiveness. Third, it was confirmed that education and training satisfaction has a mediating effect on the relationship between the HR department's strategic role and job satisfaction. The results of this study are expected to become the basis for expanding the authority and responsibilities of the HR department, which is an important factor in overcoming the crisis faced by SMEs as well as innovation, and redefining their role.

Meta-analysis on the Effect of Startup Support Policies to Startup Performance (창업지원정책이 창업성과에 미치는 영향에 관한 메타분석)

  • Kim, Sun Chic;Jeon, Byung Hoon;Yun, Sung Im
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.15 no.6
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    • pp.95-114
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    • 2020
  • This paper, a meta-analysis of the effect of the start-up support policy on the start-up performance was conducted to examine the effect of the start-up support policy on the start-up performance of beneficiary companies and to provide theoretical and practical implications to support organizations and practitioners. To this end, 35 papers containing the correlation coefficient, which is a positive statistical value, were selected from the previous studies in academic journals and dissertations published in Korea from 2007 to 2020. In the preceding study of the start-up support policy, the independent variables include funding, education support, facility/equipment support, network support, mentoring support, consulting support, marketing support, management support, technical support, manpower support, and finance as a dependent variable. The effect size of the impact on aptitude and non-financial performance was reviewed. The pattern of the effect size was presented as a forest plot for easy visual understanding, and outliers were verified through sensitivity analysis for small-study-effect data with publication convenience. As a result of analyzing the effect size of the government-supported policy, it was verified that the effect size was generally medium or higher, affecting the entrepreneurial performance. Among the independent variables, the factor that has the greatest effect on startup performance is manpower support, followed by technical support, marketing support, management support, facility/equipment support, education support, mentoring support, funding, network support, and consulting support. It was analyzed that the effect size was large in order. As the 「Small and Medium Business Startup Support Act」 was recently reorganized from the manufacturing industry to digital transformation and smartization on October 8, 2020, the start-up support policy should consider the start-up stage and verify the priorities to organize the budget.

A Study on the Trend Change using Trademark Information before and after COVID-19 (상표권 정보를 활용한 코로나19 전후의 트렌드 변화 연구)

  • Na, Myung-Sun;Park, Inchae
    • Journal of Convergence for Information Technology
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    • v.12 no.2
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    • pp.116-126
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    • 2022
  • Many studies using trademark information have suggested that trademark information is good data to monitor business trends. This study intends to analyze the trend change before and after COVID-19 using trademark information. Changes before and after COVID-19 were analyzed by using goods & service classification, similar group code, and designated goods information as trademark information. Among the trademark information, it was statistically significant that the change in trends before and after COVID-19 using designated goods names. To verify the results, the changes in keywords using designated goods names before and after COVID-19 were compared with the frequency of keywords in Google Trends. Among the top 8 keywords extracted from designated goods names, the frequency of Google trend searches for 'online, antibacterial, prevention of epidemics, meal kit, virtual' is on the rise, and 'mask, droplet' is not on the rise, but it increased rapidly at the time of COVID-19, and even after COVID-19, it showed a higher level than before. The frequency of 'unmanned' does not differ much before and after COVID-19, but it has been maintained at a consistently high level, and related businesses have been active since before COVID-19, and it can be interpreted as a keyword with high public interest. This study has academic achievements in that it specifically identified information that could be used in business trends by using three types of trademark information.

An Ontology Model for Public Service Export Platform (공공 서비스 수출 플랫폼을 위한 온톨로지 모형)

  • Lee, Gang-Won;Park, Sei-Kwon;Ryu, Seung-Wan;Shin, Dong-Cheon
    • Journal of Intelligence and Information Systems
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    • v.20 no.1
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    • pp.149-161
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    • 2014
  • The export of domestic public services to overseas markets contains many potential obstacles, stemming from different export procedures, the target services, and socio-economic environments. In order to alleviate these problems, the business incubation platform as an open business ecosystem can be a powerful instrument to support the decisions taken by participants and stakeholders. In this paper, we propose an ontology model and its implementation processes for the business incubation platform with an open and pervasive architecture to support public service exports. For the conceptual model of platform ontology, export case studies are used for requirements analysis. The conceptual model shows the basic structure, with vocabulary and its meaning, the relationship between ontologies, and key attributes. For the implementation and test of the ontology model, the logical structure is edited using Prot$\acute{e}$g$\acute{e}$ editor. The core engine of the business incubation platform is the simulator module, where the various contexts of export businesses should be captured, defined, and shared with other modules through ontologies. It is well-known that an ontology, with which concepts and their relationships are represented using a shared vocabulary, is an efficient and effective tool for organizing meta-information to develop structural frameworks in a particular domain. The proposed model consists of five ontologies derived from a requirements survey of major stakeholders and their operational scenarios: service, requirements, environment, enterprise, and county. The service ontology contains several components that can find and categorize public services through a case analysis of the public service export. Key attributes of the service ontology are composed of categories including objective, requirements, activity, and service. The objective category, which has sub-attributes including operational body (organization) and user, acts as a reference to search and classify public services. The requirements category relates to the functional needs at a particular phase of system (service) design or operation. Sub-attributes of requirements are user, application, platform, architecture, and social overhead. The activity category represents business processes during the operation and maintenance phase. The activity category also has sub-attributes including facility, software, and project unit. The service category, with sub-attributes such as target, time, and place, acts as a reference to sort and classify the public services. The requirements ontology is derived from the basic and common components of public services and target countries. The key attributes of the requirements ontology are business, technology, and constraints. Business requirements represent the needs of processes and activities for public service export; technology represents the technological requirements for the operation of public services; and constraints represent the business law, regulations, or cultural characteristics of the target country. The environment ontology is derived from case studies of target countries for public service operation. Key attributes of the environment ontology are user, requirements, and activity. A user includes stakeholders in public services, from citizens to operators and managers; the requirements attribute represents the managerial and physical needs during operation; the activity attribute represents business processes in detail. The enterprise ontology is introduced from a previous study, and its attributes are activity, organization, strategy, marketing, and time. The country ontology is derived from the demographic and geopolitical analysis of the target country, and its key attributes are economy, social infrastructure, law, regulation, customs, population, location, and development strategies. The priority list for target services for a certain country and/or the priority list for target countries for a certain public services are generated by a matching algorithm. These lists are used as input seeds to simulate the consortium partners, and government's policies and programs. In the simulation, the environmental differences between Korea and the target country can be customized through a gap analysis and work-flow optimization process. When the process gap between Korea and the target country is too large for a single corporation to cover, a consortium is considered an alternative choice, and various alternatives are derived from the capability index of enterprises. For financial packages, a mix of various foreign aid funds can be simulated during this stage. It is expected that the proposed ontology model and the business incubation platform can be used by various participants in the public service export market. It could be especially beneficial to small and medium businesses that have relatively fewer resources and experience with public service export. We also expect that the open and pervasive service architecture in a digital business ecosystem will help stakeholders find new opportunities through information sharing and collaboration on business processes.

A Study on the Strategy of IoT Industry Development in the 4th Industrial Revolution: Focusing on the direction of business model innovation (4차 산업혁명 시대의 사물인터넷 산업 발전전략에 관한 연구: 기업측면의 비즈니스 모델혁신 방향을 중심으로)

  • Joeng, Min Eui;Yu, Song-Jin
    • Journal of Intelligence and Information Systems
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    • v.25 no.2
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    • pp.57-75
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    • 2019
  • In this paper, we conducted a study focusing on the innovation direction of the documentary model on the Internet of Things industry, which is the most actively industrialized among the core technologies of the 4th Industrial Revolution. Policy, economic, social, and technical issues were derived using PEST analysis for global trend analysis. It also presented future prospects for the Internet of Things industry of ICT-related global research institutes such as Gartner and International Data Corporation. Global research institutes predicted that competition in network technologies will be an issue for industrial Internet (IIoST) and IoT (Internet of Things) based on infrastructure and platforms. As a result of the PEST analysis, developed countries are pushing policies to respond to the fourth industrial revolution through cooperation of private (business/ research institutes) led by the government. It was also in the process of expanding related R&D budgets and establishing related policies in South Korea. On the economic side, the growth tax of the related industries (based on the aggregate value of the market) and the performance of the entity were reviewed. The growth of industries related to the fourth industrial revolution in advanced countries overseas was found to be faster than other industries, while in Korea, the growth of the "technical hardware and equipment" and "communication service" sectors was relatively low among industries related to the fourth industrial revolution. On the social side, it is expected to cause enormous ripple effects across society, largely due to changes in technology and industrial structure, changes in employment structure, changes in job volume, etc. On the technical side, changes were taking place in each industry, representing the health and medical sectors and manufacturing sectors, which were rapidly changing as they merged with the technology of the Fourth Industrial Revolution. In this paper, various management methodologies for innovation of existing business model were reviewed to cope with rapidly changing industrial environment due to the fourth industrial revolution. In addition, four criteria were established to select a management model to cope with the new business environment: 'Applicability', 'Agility', 'Diversity' and 'Connectivity'. The expert survey results in an AHP analysis showing that Business Model Canvas is best suited for business model innovation methodology. The results showed very high importance, 42.5 percent in terms of "Applicability", 48.1 percent in terms of "Agility", 47.6 percent in terms of "diversity" and 42.9 percent in terms of "connectivity." Thus, it was selected as a model that could be diversely applied according to the industrial ecology and paradigm shift. Business Model Canvas is a relatively recent management strategy that identifies the value of a business model through a nine-block approach as a methodology for business model innovation. It identifies the value of a business model through nine block approaches and covers the four key areas of business: customer, order, infrastructure, and business feasibility analysis. In the paper, the expansion and application direction of the nine blocks were presented from the perspective of the IoT company (ICT). In conclusion, the discussion of which Business Model Canvas models will be applied in the ICT convergence industry is described. Based on the nine blocks, if appropriate applications are carried out to suit the characteristics of the target company, various applications are possible, such as integration and removal of five blocks, seven blocks and so on, and segmentation of blocks that fit the characteristics. Future research needs to develop customized business innovation methodologies for Internet of Things companies, or those that are performing Internet-based services. In addition, in this study, the Business Model Canvas model was derived from expert opinion as a useful tool for innovation. For the expansion and demonstration of the research, a study on the usability of presenting detailed implementation strategies, such as various model application cases and application models for actual companies, is needed.