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Factors Affecting Participation Intention of Urban Agriculture : Focusing on the Combination of Pine II & Gilmore and Schmitt's Experiential Economy Theory (도시농업 참여 의도에 영향을 미치는 요인 : Pine II and Gilmore 이론과 Schmitt 이론의 결합을 중심으로)

  • Yoon, Joong-whan;Chung, Byoung-gyu
    • Journal of Venture Innovation
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    • v.5 no.3
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    • pp.81-98
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    • 2022
  • In the recent COVID-19 pandemic, urban agriculture is attracting attention as a healing concept. In 2020, 1,848,000 people participated in urban agriculture activities in Korea. Therefore, this study was conducted to empirically analyze the factors affecting the intention to participate in urban agriculture, which is rapidly increasing. The theoretical basis of this study is the experiential economy theory of Pine II and Gilmore and the experiential theory of Schmitt. As independent variables, a total of five variables were set as the four elements of Pine II and Gilmore's experiential economy theory, namely, educational, entertainment, escapist, and aesthetic experiences, and relational experience reclassified using Schmitt's theory. Interest was set as a mediating variable between these independent variables and the dependent variable, intention to participate in urban agriculture. For empirical analysis, data were collected through a survey. Based on the significant 314 samples of the collected data, the hypothesis was tested through statistical analysis. First, as a result of testing the influence relationship between the independent and dependent variables, educational, entertainment, and escapist experiences had a significant positive (+) effect on the intention to participate in urban agriculture. The impact of the influence was in the order of entertainment experience, escapist experience, and educational experience. There was no significant influence relationship between aesthetic experience, relational experience and intention to participate in urban agriculture. On the other hand, as a result of this study, interest introduced as a mediating variable was found to play a mediating role between entertainment, escapist, aesthetic experiences and intention to participate in urban agriculture. The mediating effect of interest was not tested between educational, relational experiences and intention to participate in urban agriculture. This study approached urban agriculture participation from the concept of healing and analyzes the factors affecting participation in urban agriculture activities empirically based on a theoretical framework by combining and analyzing the representative Pine II and Gilmore theories and Schmitt theories. It had academic significance. In addition, it was meaningful to suggest that the healing concept approach is directional in relation to urban agriculture by revealing that entertainment and escapist experiences are important influencing variables in decision-making to participate in urban agriculture in practice.

Factors Influencing Acceptance and Use of New Technologies in the Metaverse Era : Focusing on the Difference between B2C Context and B2B Context (Metaverse 시대의 신기술 사용 의도에 영향을 미치는 요인: B2C 맥락과 B2B 맥락의 차이를 중심으로)

  • Chung, Byoung-gyu
    • Journal of Venture Innovation
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    • v.4 no.3
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    • pp.125-139
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    • 2021
  • As the 4th industrial revolution progresses, new technologies and services are being born, growing, and maturing. Now, beyond the mobile era, the metaverse is being discussed as a new paradigm. Therefore, in this study, in preparation for the metaverse era, we tried to analyze what factors have an important influence when consumers want to use new technologies. In particular, the research was conducted focusing on how the context in which consumers use the technology changes depending on whether they are B2C or B2B. For this, augmented reality (AR) was selected in the B2C context by linking the research subject with the metaverse era, and the smart factory was selected in the B2B context. The research model for the analysis was established by deriving and setting common influence variables by reflecting the characteristics of the research target technology based on the modified extended unified theory of acceptance and use of technology. A survey was conducted for empirical analysis, and 150 AR and 150 smart factory subjects were analyzed. The empirical study results are as follows. The relationship between performance expectancy and intention to use, technology readiness and intention to use was found to have a significant positive (+) effect on both AR and smart factory. On the other hand, it was found that effort expectancy, social influence, and trust had a positive (+) effect on intention to use only in AR. Only in smart factory, facilitating conditions had a significant positive (+) effect on intention to use. It was also found that the perceived risk had a significant negative (-) effect on the intention to use only in the smart factory. The results of this study are academically significant in that we empirically test that influencing factors of technology use varies depending on the context in which it is used by consumers. In practice, it provided an implication of what to focus on first is being implemented.

Influence on Impulse Buying by Shopping Style according to Sales Promotion : Focusing on Consumers of Low-Cost Cosmetic Goods (소비자의 쇼핑성향이 충동구매행동에 미치는 영향 : 저가화장품의 판매촉진 전략의 매개효과를 중심으로)

  • Bok, Yun-gyoung;Kim, Jun-sung
    • Journal of Venture Innovation
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    • v.4 no.3
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    • pp.109-124
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    • 2021
  • This study intends to find out the influence of a consumer's shopping style on impulse buying mediated by sales promotion, based on low-cost cosmetic goods. For the study, pleasure, economical, and convenience shopping styles were set as the independent variables, and impulse buying was set as the dependent variable, and as the mediating variable between the two, sales promotions such as price discount event, free giveaway event, and visit-inducing activity were reviewed. Accordingly, the influence relation of shopping style, sales promotion, and impulse buying were reviewed with hierarchical regression analysis to examine the mutual influence relation. The data for this study employed a structured questionnaire, and 230 copies were collected against men and women in their 20s-30s, who are the main consumers of low-cost cosmetic goods, and 197 faithful responses were analyzed, and the major findings from the analysis results are as follows. First, pleasure-style consumers were found to have influenced impulse buying, while economical-style consumers were found to have a negative influence, and convenience-style was found to have no significant relation. Second, as for the examination of the mediating effect of sales promotion, price discount event, free giveaway event, and visit-inducing activity were found to have a partial mediating effect on the influence of pleasure shopping style on impulse buying, and did not fulfill the economical shopping style mediating effect condition. Also, as convenience shopping style was found to be insignificant towards impulse buying, it was excluded from the mediating effect. Such result is thought to be a useful elementary material for establishing a sales promotion strategy according to shopping styles through the analysis of styles of major consumers in order to increase the sales of businesses. The theoretical and pragmatic implications of such study results were discussed and the future study directions were suggested.

The Effect of Consumption Value and Consumers' Need for Cognition on Satisfaction through the Mediating Role of Trust in Online Shopping Websites (소비가치와 소비자의 인지욕구가 온라인 쇼핑 웹사이트에 대한 신뢰성을 매개로 만족도에 미치는 영향)

  • Lee, Yun-sun
    • Journal of Venture Innovation
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    • v.6 no.4
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    • pp.99-111
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    • 2023
  • This study aims to confirm that consumers' satisfaction with online shopping websites has changed to a phenomenon different from the past. In other words, in a situation where the use of e-commerce is expanding worldwide after the pandemic and various types of commerce such as mobile commerce and social commerce are formed, the consumer's information processing and decision-making process are meaningful in examining the behavior that has been changed based on the perceived motivation level of consumers by the new environment according to the consumption value and personal characteristics perceived by the consumer. In other words, the purpose of this study was to investigate the effect of consumption value and need for cognition on the satisfaction toward online websites as a mediating role in the trust of the website. As a result of testing Hypothesis 1, not only the hedonic value of the consumer for the website but also the utilitarian value had a positive influence on the satisfaction toward the website, and in particular, the utilitarian value showed a relatively greater influence than the hedonic value. However, the negative relationship between the need for cognition and satisfaction was found to be at a significant level under one-sided verification. In Hypothesis 2, only the utilitarian value among the consumption values of 2-1 showed a positive effect on satisfaction through a mediating role of trust. It was confirmed that the utilitarian value among the consumption values was an important factor in the satisfaction toward the website. The significance of this study is that, unlike previous research results, not only consumption value based on senses and emotions but also utilitarian value has a greater influence. Therefore, utilitarian value and need for cognition have a stronger influence on satisfaction if they play a mediating role based on the trust of the website used by consumers. These findings reflect the current market trend of online consumption, and they are helpful in the management and strategy of online websites based on consumer behavior understanding and major factors.

An Empirical Study on the Effects of SMEs Competition, ESG Management Activities and Organizational Justice on Job Satisfaction : Focusing on Mediating Effects of Self-efficacy (중소기업의 경쟁력, ESG 경영 활동 및 조직공정성이 직무만족에 미치는 영향에 관한 실증 연구 : 자기효능감의 매개효과를 중심으로)

  • Jun, Se-hoon
    • Journal of Venture Innovation
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    • v.6 no.4
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    • pp.41-62
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    • 2023
  • Given that SME workers are the driving force of national competitiveness and the basis and cornerstone of the industry, it is meaningful to study workers' job satisfaction and the factors that affect job satisfaction. In addition to variables related to corporate competitiveness and organizational justice, this study introduced variables such as environmental(E) activities, social(S) activities, and governance(G) activities, which th national government uses as major management evaluation indicators. Therefore, a literature study and empirical analysis were conducted on how self-efficacy affects job satisfaction when workers are faced with a changed work environment. To conduct this study, 300 copies of data were collected from workers in small and medium-sized enterprises and used for analysis. For data analysis, the SPSS statistical program (Ver. 25.0) was used. The study finds, first, that product or service quality and employee competency among corporate competitiveness had a significant positive(+) effect on job satisfaction. Secondly, among ESG management activities, social(S) activities and governance(G) activities were found to have a significant positive(+) effect on job satisfaction. Third, among organizational justice, distribution justice and procedural justice were found to have a positive(+) effect on job satisfaction. Fourth, self-efficacy was found to mediate the effect of product or service quality, employee competency, social(S) and governance(G) activities among ESG management activities, and procedural justice among organizational justice on job satisfaction. The academic value of this study is that it empirically analyzed the factors that ESG management activities affect workers' jobs,. As a result, it was confirmed that workers were satisfied with their jobs by actively showing interest in social(S) activities and governance(G) activities among ESG management activities and participating in corporate management. In addition, workers sensitive to changes in the external environment can become satisfied with their jobs through self-efficacy when SMEs actively enhance corporate competitiveness, execute ESG management activities, and provide a fair organizational culture. Finally, this study suggests that there's a possibility of improving the competitiveness of SMEs through a virtuous cycle created by a change in perception of job conversion and a decrease in turnover.

Estimation of Fractional Urban Tree Canopy Cover through Machine Learning Using Optical Satellite Images (기계학습을 이용한 광학 위성 영상 기반의 도시 내 수목 피복률 추정)

  • Sejeong Bae ;Bokyung Son ;Taejun Sung ;Yeonsu Lee ;Jungho Im ;Yoojin Kang
    • Korean Journal of Remote Sensing
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    • v.39 no.5_3
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    • pp.1009-1029
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    • 2023
  • Urban trees play a vital role in urban ecosystems,significantly reducing impervious surfaces and impacting carbon cycling within the city. Although previous research has demonstrated the efficacy of employing artificial intelligence in conjunction with airborne light detection and ranging (LiDAR) data to generate urban tree information, the availability and cost constraints associated with LiDAR data pose limitations. Consequently, this study employed freely accessible, high-resolution multispectral satellite imagery (i.e., Sentinel-2 data) to estimate fractional tree canopy cover (FTC) within the urban confines of Suwon, South Korea, employing machine learning techniques. This study leveraged a median composite image derived from a time series of Sentinel-2 images. In order to account for the diverse land cover found in urban areas, the model incorporated three types of input variables: average (mean) and standard deviation (std) values within a 30-meter grid from 10 m resolution of optical indices from Sentinel-2, and fractional coverage for distinct land cover classes within 30 m grids from the existing level 3 land cover map. Four schemes with different combinations of input variables were compared. Notably, when all three factors (i.e., mean, std, and fractional cover) were used to consider the variation of landcover in urban areas(Scheme 4, S4), the machine learning model exhibited improved performance compared to using only the mean of optical indices (Scheme 1). Of the various models proposed, the random forest (RF) model with S4 demonstrated the most remarkable performance, achieving R2 of 0.8196, and mean absolute error (MAE) of 0.0749, and a root mean squared error (RMSE) of 0.1022. The std variable exhibited the highest impact on model outputs within the heterogeneous land covers based on the variable importance analysis. This trained RF model with S4 was then applied to the entire Suwon region, consistently delivering robust results with an R2 of 0.8702, MAE of 0.0873, and RMSE of 0.1335. The FTC estimation method developed in this study is expected to offer advantages for application in various regions, providing fundamental data for a better understanding of carbon dynamics in urban ecosystems in the future.

Effects of Increasing Air Temperatures and CO2 Concentrations on Herbicide Efficacy of Acalypha australis and Phytotoxicity of Soybean Crops (대기온도와 CO2 농도 증가에 따른 우점잡초 깨풀의 제초제 약효 및 콩 약해 변화)

  • Hyo-Jin Lee;Hyun-Hwa Park;Ye-Geon Kim;Do-Jin Lee;Yong-In Kuk
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.68 no.3
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    • pp.121-133
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    • 2023
  • The purpose of this study was to improve weed management systems under varying carbon dioxide concentrations and temperatures by evaluating the growth of Acalypha australis and observing the efficacy of four foliar and four soil herbicides, as well as measuring phytotoxicity in soybean crops treated with these herbicides. In both growth chamber and greenhouse conditions, plant height and shoot fresh weight of Acalypha australis increased as temperature increased. The variable to maximum fluorescence ratio (Fv/Fm), relative electron transport rate (ETR), plant height, leaf area, and shoot fresh weight of Acalypha australis were higher at carbon dioxide concentrations of 800 ppm than at 400 ppm. The efficacy of a foliar herbicide, glufosinate, on Acalypha australis was lower at 30℃ than at 20℃ and 25℃ in the growth chamber condition and was also lower at 29℃ than at 21℃ and 25℃ in greenhouse conditions. In contrast, mecoprop efficacy on Acalypha australis was lower at 20℃ and 25℃ than at 30℃ in growth chamber conditions and lower at 21℃ and 25℃ than at 29℃ in greenhouse conditions. Glyphosate efficacy was lower at 21℃ than at 25℃ and 29℃ under greenhouse conditions. With soil herbicides, metolachlor and ethalfluraline, efficacies were higher at relatively high temperatures under both growth chamber and greenhouse conditions. However, in the case of linuron, the difference in efficacy was not observed under varying temperatures in both growth chamber and greenhouse conditions. When ¼ of the recommended glyphosate rates were applied to Acalypha australis, efficacy was lower under 800 ppm carbon dioxide concentrations than under 400 ppm. In contrast, when ¼ of the recommended rate of bentazone was applied to Acalypha australis, efficacy was higher under 800 ppm carbon dioxide concentrations than under 400 ppm. Despite application rates, glufosinate efficacy differed insignificantly under different carbon dioxide concentrations. When applied at ¼ of the recommended rate, the efficacy of ethalfuralin was higher under 800 ppm carbon dioxide concentrations than under 400 ppm. However, efficacies of other herbicides were not different despite varying carbon dioxide concentrations. Soybean phytotoxicity in crops treated with the recommended rate and twice the recommended rate of soil herbicides was not significantly different regardless of temperature and carbon dioxide concentrations. Overall, weed efficacy of some herbicides decreased in response to different temperatures and carbon dioxide concentrations. Therefore, new weed management methods are required to ensure high rates of weed control in conditions affected by climate change.

The Effects of Beak Trimming and Crossbreeding-Combinations on the Productive Performance and Stress Response Levels of Korean Native Chickens (한국 토종닭에 있어 부리 다듬기 및 교배조합이 생산능력과 스트레스 반응 정도에 미치는 영향)

  • Ka Bin Shin;Sang-Hyon Oh;See Hwan Sohn
    • Korean Journal of Poultry Science
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    • v.50 no.4
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    • pp.213-229
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    • 2023
  • This study aimed to investigate the effects of beak trimming and crossbreeding-combinations on the productive performance and stress response levels of Korean native chickens. The study divided 248 individuals from six crossbreeding-combinations into two groups: one underwent beak trimming, and the other did not. The survival rate, body weight, egg production rate, egg quality, feather damage score, HSP-70 gene expression level, H/L ratio, and intracellular DNA damage rate were measured and analyzed. The results showed that the beak-trimmed group had significantly higher survival rates and hen-housed egg production compared to the non-beak-trimmed group (P<0.05). Feather damage and DNA damage rates were significantly lower in the beak-trimmed group (P<0.05). On the other hand, there were no significant differences between the two groups in adult body weight, hen-day egg production, egg quality, HSP-70 gene expression level, and H/L ratio. Among the crossbreeding-combinations, there were significant differences in survival rate, body weight, feather damage score, egg quality, and DNA damage rate (P<0.05), while egg production rate, HSP-70 gene expression level, and H/L ratio showed no significant differences. There was an interaction between beak trimming and crossbreeding-combinations in some traits. In conclusion, beak trimming in Korean native chickens has a positive impact on productive performance, and in terms of stress response, beak trimming may not act as a stress factor or may even reduce stress after the growing period. Furthermore, there were differences in productive performance and stress response levels among crossbreeding-combinations, but the effects of beak trimming were similar across these combinations.

Utilization of Smart Farms in Open-field Agriculture Based on Digital Twin (디지털 트윈 기반 노지스마트팜 활용방안)

  • Kim, Sukgu
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2023.04a
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    • pp.7-7
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    • 2023
  • Currently, the main technologies of various fourth industries are big data, the Internet of Things, artificial intelligence, blockchain, mixed reality (MR), and drones. In particular, "digital twin," which has recently become a global technological trend, is a concept of a virtual model that is expressed equally in physical objects and computers. By creating and simulating a Digital twin of software-virtualized assets instead of real physical assets, accurate information about the characteristics of real farming (current state, agricultural productivity, agricultural work scenarios, etc.) can be obtained. This study aims to streamline agricultural work through automatic water management, remote growth forecasting, drone control, and pest forecasting through the operation of an integrated control system by constructing digital twin data on the main production area of the nojinot industry and designing and building a smart farm complex. In addition, it aims to distribute digital environmental control agriculture in Korea that can reduce labor and improve crop productivity by minimizing environmental load through the use of appropriate amounts of fertilizers and pesticides through big data analysis. These open-field agricultural technologies can reduce labor through digital farming and cultivation management, optimize water use and prevent soil pollution in preparation for climate change, and quantitative growth management of open-field crops by securing digital data for the national cultivation environment. It is also a way to directly implement carbon-neutral RED++ activities by improving agricultural productivity. The analysis and prediction of growth status through the acquisition of the acquired high-precision and high-definition image-based crop growth data are very effective in digital farming work management. The Southern Crop Department of the National Institute of Food Science conducted research and development on various types of open-field agricultural smart farms such as underground point and underground drainage. In particular, from this year, commercialization is underway in earnest through the establishment of smart farm facilities and technology distribution for agricultural technology complexes across the country. In this study, we would like to describe the case of establishing the agricultural field that combines digital twin technology and open-field agricultural smart farm technology and future utilization plans.

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Bathymetric and Topographic Changes of the Gomso-Bay Tidal Flat, West Coast of the Korean Peninsula (한반도 서해안 곰소만 갯벌의 수심 및 지형 변화)

  • Jin Ho Chang;Yong-Gil Kim;Myong Sun Lee
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.6
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    • pp.552-561
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    • 2023
  • The seafloor topography of Gomso Bay on the west coast of Korea was investigated using subtidal bathymetry and tidal-flat altimetry. Gomso Bay consists of 80% tidal flats and 20% subtidal zone, and is divided into an outer bay and an inner bay by the Jujincheon esturary channel. The outer bay tidal flat, has few tidal channels, has a concave topographic profile, and is characterized by the development of chenier and intertidal sand bars, giving it the appearance of gently sloping, dissipative beaches. The inner bay tidal flat has wide upper and middle tidal flats with a well-developed tidal channel system without cheniers. Moreover, the topographical cross-section between these tidal channels is convex upward, and shows the characteristics of a depositional environment greatly influenced by tidal channels and tidal action. An analysis of the horizontal movement of the tidal flat environment over the past 37 years investigating changes in the iso-depth lines in the Gomso-Bay tidal flat between 1981 and 2018 revealed that the Gomso-Bay tidal flat retreated gradually landward. As a result of analyzing the erosion and sedimentation characteristics of Gomso Bay, assuming that most of the water depth changes were due to changes in the elevation of the sea floor and sea level, an average of 1 cm (0 mm/y) of sediment was eroded in the outer bay over the past 37 years (1981-2018), In the inner bay, an average of 50 cm (14 mm/y) was deposited. Notably, the high tidal flats of the outer bay were largely eroded. Monitoring photographs of the coast showed that most of the erosion of the high tidal flats in the outer bay occurred in a short period around 1999 (probably 1997-2002), and that the erosion resulted from the erosion of sand dunes and high-tide beaches caused by temporarily greatly raised high tide levels and storms.