최근 식품제조업을 둘러싼 환경이 급변하고 있다. 저출산⋅고령화로 인한 소비인구 감소, FTA 체결국 증가에 따른 국내 시장개방 확대, 제4차 산업혁명에 대한 식품제조업의 대응력 부족 등으로 식품제조업의 성장세 지속은 어려워지고 있다. 식품제조업의 질적 변화를 위한 혁신성장을 추진하고자 한다면 식품제조업의 혁신수준에 대한 평가와 향상 방안에 대한 심층적 분석이 필요하다. 본 연구에서는 식품제조업의 혁신수준을 평가하고 향상시킬 수 있는 방안이 무엇인지를 검토하고자 한다. 식품 제조업의 혁신수준을 혁신의 투입지표인 매출액 대비 연구개발비 비율(이하 R&D비율), 특허등록(출원) 건수, 총요소생산성을 활용해 분석․평가하였다. 그 결과, 식품 제조업의 R&D 비율은 다른 산업에 비하여 낮은 것으로 분석되었으며 특허 수와 총요소생산성 증가율 또한 낮은 것으로 나타났다.

The present research deals with the influence of managers’ construal level and anticipatory regret behavior on evaluations of customers’ and employees’ ideas in innovation contexts. While prior research focused on positive outcomes of open innovation, we provide theory and evidence to suggest that managers’ avoidance behavior in idea evaluation processes can result in negative side effects for the assessment of employees’ ideas. We conducted an experiment with 113 managers to reveal that top managers tend to higher creativity ratings of ideas from customers in comparison to identical ideas from employees. Lower level managers showed no difference in their creativity evaluations, but differentiated their feasibility rating in favor for customers’ ideas, whereas top managers did not. Our findings contribute to existing managerial decision making research and provide initial evidence on negative outcomes of open innovation for managers’ evaluation of employees’ ideas.

In this research, technology innovation capability evaluation model for small and medium enterprises was developed. To develop technology innovation capability evaluation model, two analytic technic was used. First one is AHP (Analytic Hierarchy Process) to give weight to each main index. Second one is fuzzy set theory to represent ambiguous index to numerical value. Finally, technology innovation capability evaluation model was achieved in combination with the same weight to AHP analysis and fuzzy set theory. With these results, small and medium enterprises can know important point in terms of strengthening the innovation capability evaluation.

With the radical changes and advancements of industrial economy, it is required to secure product competitiveness through technological innovations to overcome uncertain environments and generate a driving force for sustainable growth. So the Korea government introduced the superior product selection system in 1996 and has granted such incentives as priority purchasing and contracts the products of SME whose technological capabilities have passed the screening criteria. After analyzing the ambiguity of the evaluation procurement used in designation of excellent product, this study proposed seven detailed indexes for evaluation.

The purpose of this study is to introduce the limit of previously used six sigma quality process evaluation metrics, Zst and Ppk, and a solution to overcome this drawback by using a metric based on performance evaluation of Z-factor quality innovation. Case analysis on projects from national six sigma contest from 2011 to 2012 is performed and literature review on new drug development HTS (High Throughput Screening) is used to propose innovative performance evaluation metrics. This research shows that experimental study on six sigma evaluation metric, Zst and Ppk, have no significance difference between industrial type (Manufacturing, Semi-Public Institute, Public Institute) and CTQ type (Product Technology Type CTQ, Process Technology Type CTQ). Following discovery characterize this quality improvement as fixed target type project. As newly developed moving target type of quality innovation performance metric Z-Factor is used for evaluating experimental study, hypothetical analysis suggests that Zst and Ppk share different relationship or even show reciprocal relationship. Constraints of the study are relatively small sample size of only 37 projects from past 2 years and conflict on having interview and communication with six sigma quality practitioner for qualitative experimental study. Both moving target type six sigma innovation project and fixed target type improvement project or quality circle enables efficient ways for a better understanding and quality practitioner use by applying quality innovation performance metric. Downside of fixed target type quality performance evaluation metric, Zst and Ppk, is presented through experimental study. In contrast, advantage of this study is that high throughput requiring product technology, process technology and quantum leap typed innovation effect is evaluated based on precision and accuracy and Z-Factor that enables relative comparison between enterprises is proposed and implemented.

The current environment of technological and competitive changes influences not only the business R&D environment but also government driven national R&D strategies. Open innovation has now become an important paradigm that is replacing the outdated paradigm of closed innovation. Many companies and nations have been increasing R&D investment because R&D has been considered a driving force for national and corporate competitive advantage. The purpose of this paper is to evaluate and compare the performance of R&D focused on open innovation according to scientific and technological outputs which is based on paper publications, patents and etc. Comparisons should not be only based on the quantity but also on the quality of the output. This paper shows that it is possible to develop DEA models that utilize the Analytical Hierarchical Process in order to transform the qualitative index into a quantitative index. Hence, the relative efficiency for R&D organizations is obtained based on both quantity and quality outputs and subsequently provides comprehensive and realistic methods for decision makers to identify levels of project efficiency.

The average BOD concentration was found to be about 269mg/L before a process innovation, but after the innovation, it became 30mg/L, which satisfied the effluent standard of 120mg/L. The removal effluent standard of 120mg/L. The removal efficiency was about 60～80%, and the concentration of the treated water was found th be low. after the process innovation, the average COD concentration was 29mg/L, and the CODmn removal efficiency became low to the level of about 65～76%, which was found lower than the effluent standard of 130mg/L. After the process innovation the SS average concentration of the treated water was 13mg/L, which was lower than that before the innovation (32mg/L). By the activated sludge process innovation, the SS removal efficiency was improved to be 30～70%. The average concentration of total coliform before the process innovation was 6100 count/mL because an Activated sludge process only occasionally pass over the allowed standard(The average number of the total coliform of Activated sludge process treated water was about 8100 count/mL), UV disinfection process was introduced. after the introduction, the average number of the total coliform was 1800 count/mL, which satisfied the allowed effluent standard of 3000 count/mL.

  Certification about management innovation business (Mainbiz) was added in 2006 newly along with existent technical innovation business certification (Innobiz) and venture business certification with government"s policy connected with reform style small

The paper proposes a knowledge innovation performance model by the dynamic data envelopment analysis with slacks-based measure approach for evaluating the effectiveness of 30 regional knowledge innovation activities in China from 2010 to 2016. In recent years, China has paid more attention to knowledge innovation activities, as central and local governments have pushed on with their innovation projects by lots of investment whatever the difficulties may be. Decision-maker is usually interested in judge its knowledge innovation performance relative to target benchmark by exploring whether one provincial administration region performs better among others and/or if the growth of economy will be benefited greatly by the knowledge innovation activities. To acquire the managerial insight about this issue from a comprehensively designed performance evaluation model, knowledge innovation activity is conceptualized as an intertemporal production process. Invention patent and regional gross product are imposed on desirable outputs, highlighting the need for knowledge economy. The empirical result shows that knowledge innovation has a positive effect on economic development. At the same time, decision-maker should be interest in the economic effect of patents’ type and quality. The government should then encourage new technical applications with greater commercial value from a market-oriented perspective, in order to benefit the most from the innovation process in the short-run.