• The Journal of Asian Finance, Economics and Business
• /
• 제7권12호
• /
• pp.1215-1224
• /
• 2020

Micro, Small and Medium Enterprises in Denpasar City still face low mastery of technology and financial management, one of which is the application of technology-based accounting information systems (e-commerce) for small and medium enterprises. The research objective was to determine the relationship between environmental uncertainty, trust and ease of information technology moderating behavior in accounting information systems. Research with a quantitative approach, the method used is multiple linear regression with moderated regression analysis. The study population was 816 small and medium enterprises. The sampling method technique was the incidental sampling approach and the Slovin formula so that a sampling of 100 small and medium enterprises that had used e-commerce was determined in the city of Denpasar. The results of research that have been conducted determine the relationship between user behavior in accounting information systems that affect individual performance, the relationship between environmental uncertainty affects accounting information systems mediated by individual performance, while the ease of information technology and its ability to be mediated by individual performance has an effect on the behavior of using accounting information systems. The application of accounting information systems in small and medium enterprises is expected to improve individual performance so as to increase income.

• 유통과학연구
• /
• 제21권6호
• /
• pp.51-68
• /
• 2023

Purpose: This study aims to explore the impact of green products' claim skepticism on green purchase intention and further investigates the moderating role of environmental concern in the relationship. This study, by drawing the persuasion knowledge model expected that ambiguity avoidance penalizes less familiar brands than familiar brands. Further, the present study building on Hofstede's cultural dimension, specifically, uncertainty avoidance, undertook a scenario to understand any difference that exist between uncertainty avoidance cultural groups. This study also investigates gender differences in green claim skepticism and proclivity to purchase green products. Research design, data, and methodology: For analyzing the relationship relevant hypotheses were designed, and R-programming software was used. To test the hypotheses two independent sample t-test and regression analysis were carried out. Results: The results suggest that consumers' skepticism toward green claims influenced the intention to purchase eco-friendly products. The study finding also confirms the effect is moderated by environmental concern. Also, the findings of two scenarios reveal that consumers in high uncertainty avoidance culture exhibited a greater level of skepticism for green print advertising and green packaging claims when the brand in the advertising and packaging was unfamiliar than when it was familiar. Conclusions: To alter the negative effect of skepticism the consumer should believe the environmental claims are valid so that they can contribute to solving sustainability issues.

• 산경연구논집
• /
• 제14권7호
• /
• pp.9-18
• /
• 2023

Purpose: The ability of a firm to acquire resources through marketing networks is crucial for its competitiveness. Nonetheless, the influence of these networks on the performance of a firm's innovation is still uncertain, particularly in the face of environmental uncertainty. This research investigates the impact of marketing networks, specifically network embeddedness and structural holes, on the performance of innovation in situations characterized by environmental uncertainty. Research design, data and methodology: The empirical examination was carried out within the framework of internal network entities, specifically the manufacturer-supplier-sub supplier relationships, involving the primary suppliers of a Korean engineering firm. Construct measures utilized in this study were derived from existing measures and prior research. A questionnaire survey was conducted with a major first-tier supplier of a Korean engineering firm. Proposed hypotheses were tested using structural equation modeling. Results: The survey findings suggest that only network embeddedness has an impact on the perception of major first-tier suppliers regarding the buyer's innovation performance. Conclusions: To strengthen the empirical evidence regarding the effects of marketing networks on innovation performance, future research should take into account cultural factors such as collectivism, which is indicative of the distinctive business-to-business marketing relationships observed in the Korean context.

• 품질경영학회지
• /
• 제46권4호
• /
• pp.959-972
• /
• 2018

Purpose: This study developed a simulation model that incorporates the uncertainty of demand and yield to obtain optimized results for supply chain coordination within environmental constraints. The objective of this study is to examine whether yield management for perishable products can achieve the goal of supply chain coordination between a single buyer and a single supplier under a variety of environmental conditions. Methods: We investigated the efficiency of a revenue-sharing contract and a wholesale price contract by considering demand and yield uncertainty, profit maximizing ratio, and success ratio. The implications for environmental variation were derived through a comparative analysis between the wholesale price contract and the revenue-sharing contract. We performed Monte Carlo simulations to give us the results of an optimized supply chain within the environments defined by the experimental factors and parameters. Results: We found that a revised revenue-sharing contracting model was more efficient than the wholesale price contract model and allowed all members of the supply chain to achieve higher profits. First, as the demand variation (${\sigma}$) increased, the profit of the total supply chain increased. Second, as the revenue-sharing ratio (${\Phi}$) increased, the profits of the manufacturer gradually decreased, while the profits of the retailer gradually increased, and this change was linear. Third, as the quality of yield increased, the profits of suppliers appear to increased. At last, success rate was expressed as the profit increased in the revenue-sharing contract compared to the profit increase in the wholesale price contract. Conclusion: The managerial implications of the simulation findings are: (1) a strategic approach to demand and yield uncertainty helps in efficient resource utilization and improved supply chain performance, (2) a revenue-sharing contract amplifies the effect of yield uncertainty, and (3) revised revenue-sharing contracts fetch more profits for both buyers and suppliers in the supply chain.

• 한국물환경학회지
• /
• 제29권5호
• /
• pp.681-690
• /
• 2013

Watershed models have been increasingly used to support an integrated management of land and water, non-point source pollutants, and implement total daily maximum load policy. However, these models demand a great amount of input data, process parameters, a proper calibration, and sometimes result in significant uncertainty in the simulation results. For this reason, uncertainty analysis is necessary to minimize the risk in the use of the models for an important decision making. The objectives of this study were to evaluate three different uncertainty analysis algorithms (SUFI-2: Sequential Uncertainty Fitting-Ver.2, GLUE: Generalized Likelihood Uncertainty Estimation, ParaSol: Parameter Solution) that used to analyze the sensitivity of the SWAT(Soil and Water Assessment Tool) parameters and auto-calibration in a watershed, evaluate the uncertainties on the simulations of runoff and sediment load, and suggest alternatives to reduce the uncertainty. The results confirmed that the parameters which are most sensitive to runoff and sediment simulations were consistent in three algorithms although the order of importance is slightly different. In addition, there was no significant difference in the performance of auto-calibration results for runoff simulations. On the other hand, sediment calibration results showed less modeling efficiency compared to runoff simulations, which is probably due to the lack of measurement data. It is obvious that the parameter uncertainty in the sediment simulation is much grater than that in the runoff simulation. To decrease the uncertainty of SWAT simulations, it is recommended to estimate feasible ranges of model parameters, and obtain sufficient and reliable measurement data for the study site.

• 경영과정보연구
• /
• 제31권1호
• /
• pp.183-203
• /
• 2012

본 연구에서는 기술혁신 관련 기존 연구에서 실증연구가 부족한 조직문화와 중소기업의 기술혁신 과정에서 고려되어야 할 고용안정성과 환경불확실성을 도입하여 실증분석하였다. 구체적으로 조직문화와 기술혁신(제품혁신, 공정혁신) 간 관계, 그리고 이들 간 관계에 대한 고용안정성과 환경불확실성의 조절효과를 분석하였다. 258개 대구지역 중소기업을 대상으로 분석한 결과, 조직문화는 제품혁신에는 긍정적으로 유의한 영향을 미쳤으나, 공정혁신에는 유의한 영향을 미치지 못하였다. 고용안정성의 긍정적인 조절역할은 조직문화와 제품혁신 간에만 존재하였으나, 환경불확실성은 조직문화와 제품혁신, 조직문화와 공정혁신 간 모두를 긍정적으로 조절하였다. 본 연구에서는 실증분석 결과가 가지는 이론적 및 실무적 시사점, 한계점 및 향후 연구방향 등도 함께 논의하고 있다.

• 한국산학기술학회논문지
• /
• 제17권12호
• /
• pp.53-61
• /
• 2016

본 연구는 물류관리시스템 성과를 극대화하기 위해 외부환경과 물류정보시스템 간의 적합성이 물류성과에 직접적인 영향을 미치는 과정에서 기업의 규모에 따라 물류성과는 차별적인 영향을 받고 있는가를 연구의 목적으로 한다. 실증분석결과, 먼저 환경불확실성과 물류정보시스템 간의 적합성의 차이에 따라 물류성과가 차이가 있는가에 대한 실증결과에 의하면 적합성이 높은 그룹이 낮은 그룹보다 물류성과가 높다는 연구결과를 보이고 있다. 둘째, 환경불확실성과 물류정보시스템 간의 적합성에 따른 물류성과 차이가 기업규모에 따라 차이가 있는가에 대한 연구결과를 보면, 기업의 규모에 따라 물류성과는 차이가 있다는 연구결과를 보이고 있다. 즉 이러한 연구결과는 외부환경과 물류정보시스템 간의 적합성을 통한 물류성과 향상의 달성은 규모의 경제 논리에 따라 기업규모가 클수록 물류성과가 효율적이라는 선행연구 결과에 의해서 기업의 규모에 따라 차별적으로 물류성과 향상을 꾀할 수 있다는 연구결과이다. 본 연구결과는 전략의 수립 실행만을 초점으로 하는 물류경영실무에 대해서도 기업의 규모에 대한 명시적인 고려가 필요함을 시사해 준다. 또한 기업의 성과함의를 분석하기 위해서 전략 실행의 문제를 배제하고 있는 물류경영실무에 대해서도 기업규모에 따른 적절한 물류정보시스템의 선택에 관한 문제를 고려할 필요가 있음을 제시하는 연구결과이다.

• 디지털융복합연구
• /
• 제20권2호
• /
• pp.141-154
• /
• 2022

본 연구의 목적은 비즈니스 네트워크의 유대강도가 지식 공유에 미치는 영향과 환경 불확실성이 유대 강도와 지식 공유에 미치는 영향관계를 조사하는 것이다. 국내 첨단산업 종사자 310명의 설문조사 결과를 바탕으로 통계적 분석 및 제안된 가설들을 검증했다. 분석결과, 강한 유대는 암묵적 지식 공유에 영향을 미치고 약한 유대는 명시적 지식공유에 긍정적인 영향을 미치는 것으로 나타났고, 환경 불확실성이 높을 때 강한 유대는 암묵적 지식 공유를 강화하는 경향이 있는 반면 약한 유대는 환경 불확실성의 영향을 받지 않는 것으로 확인할 수 있었다. 본 연구는 사회적 자본이론을 첨단산업에 적용하여 유대강도 및 지식공유를 연구함으로써, 기존의 기업간 유대 및 지식공유 연구를 뒷받침한다. 이 연구 결과는 기업의 역량, 새로운 지식 창출, 경쟁 우위확보를 위한 중요 요인인 지식 공유를 촉진하기 위해 유대강도를 전략적으로 활용해야 함을 시사한다.

• 한국환경과학회지
• /
• 제20권3호
• /
• pp.329-340
• /
• 2011

The probability concepts mainly used for rainfall or flood frequency analysis in water resources planning are the frequentist viewpoint that defines the probability as the limit of relative frequency, and the unknown parameters in probability model are considered as fixed constant numbers. Thus the probability is objective and the parameters have fixed values so that it is very difficult to specify probabilistically the uncertianty of these parameters. This study constructs the uncertainty evaluation model using Bayesian MCMC and Metropolis -Hastings algorithm for the uncertainty quantification of parameters of probability distribution in rainfall frequency analysis, and then from the application of Bayesian MCMC and Metropolis- Hastings algorithm, the statistical properties and uncertainty intervals of parameters of probability distribution can be quantified in the estimation of probability rainfall so that the basis for the framework configuration can be provided that can specify the uncertainty and risk in flood risk assessment and decision-making process.

• 한국물환경학회지
• /
• 제36권6호
• /
• pp.568-580
• /
• 2020

Calibrating a conceptual hydrologic model necessitates selection of a calibration period that produces the most reliable prediction. This often must be chosen randomly, however, since there is no objective guidance. Observation plays the most important role in the calibration or uncertainty evaluation of hydrologic models, in which the key factors are the length of the data and the hydro-climate conditions in which they were collected. In this study, we investigated the effect of the calibration period selected on the predictive performance and uncertainty of a model. After classifying the inflows of the Hapcheon Dam from 1991 to 2019 into four hydro-climate conditions (dry, wet, normal, and mixed), a conceptual hydrologic partitioning model was calibrated using data from the same hydro-climate condition. Then, predictive performance and post-parameter statistics were analyzed during the verification period under various hydro-climate conditions. The results of the study were as follows: 1) Hydro-climate conditions during the calibration period have a significant effect on model performance and uncertainty, 2) calibration of a hydrologic model using data in dry hydro-climate conditions is most advantageous in securing model performance for arbitrary hydro-climate conditions, and 3) the dry calibration can lead to more reliable model results.