• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.1
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• pp.157-175
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• 2022

At this moment, a paradigm shift is taking place across all sectors of society for the transition movements to the digital economy. Various movements are taking place in the global agricultural industry to achieve innovative growth using big data which is a key resource of the 4th industrial revolution. Although the government is making various attempts to promote the use of big data, the movement of the agricultural industry as a key player in the use of big data, is still insufficient. Therefore, in this study, effects of performance expectations, effort expectations, social impact, facilitation conditions, based on the Unified Theory of Acceptance and Use of Technology(UTAUT), and innovation tendencies on the acceptance intention of big data were analyzed using the economic and practical benefits that can be obtained from the use of big data for agricultural-related companies as moderating variables. 333 questionnaires collected from agricultural-related companies were used for empirical analysis. The analysis results using SPSS v22.0 and Process macro v3.4 were found to have a significant positive (+) effect on the intention to accept big data by effort expectations, social impact, facilitation conditions, and innovation tendencies. However, it was found that the effect of performance expectations on acceptance intention was insignificant, with social impact having the greatest influence on acceptance intention and innovation tendency the least. Moderating effects of economic benefit and practical benefit between effort expectation and acceptance intention, moderating effect of practical benefit between social impact and acceptance intention, and moderating effect of economic benefit and practical benefit between facilitation condition and acceptance intention were found to be significant. On the other hand, it was found that economic benefits and practical benefits did not moderate the magnitude of the influence of performance expectations and innovation tendency on acceptance intention. These results suggest the following implications. First, in order to promote the use of big data by companies, the government needs to establish a policy to support the use of big data tailored to companies. Significant results can only be achieved when corporate members form a correct understanding and consensus on the use of big data. Second, it is necessary to establish and implement a platform specialized for agricultural data which can support standardized linkage between diverse agricultural big data, and support for a unified path for data access. Building such a platform will be able to advance the industry by forming an independent cooperative relationship between companies. Finally, the limitations of this study and follow-up tasks are presented.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.1
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• pp.191-211
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• 2022

As the value of highly sustainable companies increases, ESG(Environmental, Social, and Governance) has emerged as the biggest topic of discussion for companies around the world. In addition, as domestically, more research is being done on ESG in line with global trends, it is necessary to examine ESG research trends. Accordingly, ESG academic papers that have been published for the past 10 years were collected for each year, and frequency analysis was conducted using text mining techniques regarding key themes and thesis titles. This paper analyzed the number of selected publications by year and the cumulated number of studies through bibliometric analysis. The findings suggested that the number of ESG papers is increasing each year and that academic interest in ESG-related issues continues to abound. Next, according to the results of frequency analysis of the keywords and titles of the research papers, the words- "ESG", "company", "society", "responsibility", "management", "investment", and "sustainability"- were extracted. This analysis identified the research fields and keywords that have been relevant to ESG in the past 10 years. As a result of comparing the major ESG issues presented in recent overseas studies and the common factors of the ESG key keywords presented in this study, it was confirmed that the environment is the focus of recent studies compared to previous studies. Third, it was found that the data used by domestic ESG studies mainly include the KEJI index, the KRX index, and the KCGS ESG evaluation index. After identifying the main research subjects of ESG papers, research found that 8 out of 152 domestic ESG studies were focused on SMEs. Through this study, it was possible to confirm the ESG research trend and increase in research, and future researchers divided the research topics and research keywords and presented basic data for selecting more diverse research topics. Based on both, the arguments of previous ESG studies conducted on SMEs and the results of this study, there is a lack of studies on guidelines for ESG practice and their application to SMEs, and more ESG research regarding SMEs will need to be conducted in the future.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.5
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• pp.1-16
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• 2022

Although start-up is a key national strategy to increase national competitiveness and create employment, the survival rate of start-ups has not improved significantly. This is an important reason for the inability to provide timely and appropriate support to startups, which are in the early stages of start-up, due to the unique limitations of existing start-up support institutions and investors. The relatively recent accelerator is attracting attention as a subject of solving the above problems through professional incubation and investment. However, there are only a few empirical studies on investment determinants that affect the survival and success of accelerators, and there is a lack of theoretical evidence. Accordingly, in previous studies, 12 investment determinants were derived from a static, strategic, and dynamic perspective as accelerator investment determinants based on a business model innovation framework. This study subdivided the accelerator investment determinants derived through previous studies into 21 and analyzed the importance and priority of each factor using AHP (Analytic Hierarchy Process) analysis technique for domestic accelerator investment experts. As a result of the analysis, the top factors of importance of accelerator investment determinants were in the order of 'human resources', 'customer and market', 'intellectual resources', and 'entrepreneur's ability to realize opportunities'. It can be seen that the accelerator considers the core competencies of startups to implement solutions as the most important factor when making startup investment decisions. It was also confirmed that accelerators are strategic to create a clear value proposition and differentiated market position based on the core competitiveness of startups, and that the core value delivery method prefers a market-oriented business model and recognizes entrepreneurs's innovation capability is an important factor to realize a business model with limited resources in a rapidly changing market. This study is of academic significance in that it analyzes the importance and priority of accelerator investment determinants through demonstration as a follow-up study on accelerator investment determinants derived based on business model innovation theory that reflects the nature, goals, and major activities of accelerator investment. In addition, it is of practical value as it contributes to revitalizing the domestic startup investment ecosystem by providing accelerators with theoretical grounds for investment decisions and specific information on detailed investment determinants.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.5
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• pp.205-221
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• 2022

In this study, the authors investigated the effect of salesperson's Selling Influence Tactics (SIT) on customers' psychological obligation, trust in salespersons and repurchase intentions in the offline cosmetics purchase channel. In addition, we examined the moderating effect of service quality perceived by customers. To this end, a survey was conducted on 298 customers who had purchased cosmetics through the offline sales channel, and the authors conducted hypothesis testing through a structural equation model. As a result of the study, first, among salesperson's sales influence tactics, emotional appeal tactics (H1a), customer ingratiation tactics (H1d), and personal appeal tactics (H1e) were found to affect the psychological obligation of customers, and emotional appeal tactics (H2a), rational persuasion tactics (H2b), information provision tactics (H2c), and customer ingratiation tactics (H2d) were found to affect trust in salespeople. Third, it was found that the psychological obligation did not have a positive (+) effect on the customer's repurchase intention, and the customer's trust in the salesperson had a positive (+) effect on the repurchase intention. Third, perceived service quality showed a significant moderating effect between psychological obligation and repurchase intention, trust in salesperson and repurchase intention. In previous studies on salesperson's Selling Influence Tactics (SIT), many studies examined salesperson's Selling Influence Tactics (SIT) by specifying sub-variables in a limited way, and studies confirming marketing factors such as repurchase intention were also insufficient. Therefore, the results of the empirical research confirmed based on this study are expected to help the standard or direction of the salesperson's Selling Influence Tactics (SIT) in future studies. In addition, this study describes implications for providing help in employee education and management for small business owners who manage and operate offline cosmetics stores, and sales strategies that should be strategically established to improve perceived service quality for customers.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.4
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• pp.87-100
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• 2022

Early start-up companies have an inherent limitation of lack of resources. Despite these limitations, in order to survive, the entrepreneur's personal ability to efficiently use limited resources is required. In the marketing field, various studies are needed to reduce the business failure rate through establishing growth strategies and innovation. Accordingly, it is necessary to apply the concept of entrepreneurial marketing, which has been researched and developed overseas for 30 years, to fit the domestic reality. According to the flow of this study, an empirical study should be preceded to clarify the influence relationship between entrepreneurial marketing orientation, marketing competency, and management performance, along with a theoretical theorem on entrepreneurial marketing that is suitable for early start-ups and small and medium-sized enterprises(SMEs) and can respond innovatively to changes. The establishment of entrepreneurial marketing orientation and the processes from which this concept leads to business performance through the organization's marketing capabilities and its effects will be empirically verified. For an empirical survey, a survey was conducted on founders of 220 companies, and path analysis using structural equations was used for hypothesis verification. The findings are as follows. First, it was found that the entrepreneurial marketing orientation had a positive effect on both the organization's marketing capabilities and management performance. Second, it was found that the organization's marketing capabilities also had a positive effect on management performance. Third, as a result of empirical analysis of the mediating effect of the organization's marketing capabilities on the relationship between entrepreneurial marketing orientation and management performance, it was found that marketing capabilities showed a greater mediating effect on non-financial performance than financial performance. On the other hand, it was confirmed that marketing performance had a stronger mediating effect on financial performance than non-financial performance. By confirming and presenting the concept and constituent factors of entrepreneurial marketing orientation of domestic start-ups, which were academic gaps for the purpose of this paper, the academic research is differentiated in that they were verified as six components of entrepreneurial marketing. The practical implications of the research results will be that the entrepreneurial marketing-oriented mindset of small and medium-sized companies will optimize market analysis capabilities, network with various stakeholders, and increase the organization's ability to demonstrate marketing capabilities.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.4
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• pp.143-161
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• 2022

The government is promoting policies to increase policy efficiency by supporting corporate growth through corporate support and establishing the Ministry of SMEs and Startups as a control tower for corporate support projects. However, opinions on the efficiency of the government's corporate support project are divided, and this study aims to check how the government's corporate support project affects corporate performance and how absorption capacity and satisfaction, which are internal factors, affect corporate growth. Research was conducted on companies receiving government corporate support projects, and previous studies focused on financial support among government corporate support projects, while the effect of government corporate support was analyzed by dividing government support projects into financial and non-financial support, and absorption capabilities and corporate support satisfaction were analyzed. Through this, the effect on corporate financial performance and non-financial performance was empirically analyzed according to the mediating effect of absorption capacity and corporate support satisfaction in the government's corporate support project. As a result, both the government's financial and non-financial support had a positive effect on financial and non-financial performance, and it was confirmed that both absorption capacity and corporate support satisfaction mediate both financial and non-financial performance, and it was analyzed that it had a positive (+) effect. In order to improve the absorption capacity of a company, it is expected that it will be meaningful to improve the efficiency of the business by defining the problems faced by the company and suggesting solutions through the establishment of a supplier and consumer network.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.3
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• pp.89-101
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• 2022

This study investigated the effects of individual characteristics (entrepreneurial self-efficacy) and environmental characteristics (social support, government support policy) on entrepreneurial intention for college students in Korea and China. In particular, the moderating effect of differences between countries (Korea and China) was demonstrated in the relationship between individual and environmental characteristics and entrepreneurial intention. The results of the empirical analysis of 626 Korean and Chinese university students are as follows. First, all of the entrepreneurial self-efficacy, social support, and government support policies perceived by Korean college students had a positive effect on entrepreneurial intention. In particular, Korean college students' entrepreneurial intentions were influenced in the order of social support, entrepreneurial self-efficacy, and government support policies. Second, all of the entrepreneurial self-efficacy, social support, and government support policies perceived by Chinese college students had a positive effect on start-up intention. In particular, entrepreneurial intention of Chinese college students was influenced in the order of government support policy, entrepreneurial self-efficacy, and social support. Third, the relationship between environmental characteristics (social support, government support policy) and entrepreneurial intention was adjusted by differences between countries. First, the positive relationship between social support and entrepreneurial intention was generally higher for Chinese college students than for Korean college students. In addition, the positive relationship between government support policy and entrepreneurial intention was higher for Chinese college students than for Korean college students as the level of awareness of government support policy increased. Finally, theoretical and practical implications for the intention of Korean and Chinese college students to start a business were presented, and the limitations of the study and future research directions were presented based on this study.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.3
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• pp.165-182
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• 2022

This study focused on whether employees' perceived leader's creativity has a significant effect on employees' job satisfaction and innovative behavior. In addition, this study analyzed the mediating effect of positive psychological capital and creative self-efficacy in the relationship between perceived leader creativity and employee satisfaction with the job or innovation behavior, and analyzed the moderated mediating effect of team cohesion. This study conducted confirmatory factor analysis and path analysis for each factor using the measurement tool verification method using the SmartPLS 3.0 structural equation model, and empirically analyzed the research model. As a result, it was found that the creativity of employees' perceived leaders did not directly significantly affect employees' job satisfaction and innovation behavior. However, it was found that positive psychological capital significantly mediated the relationship between perceived leader creativity and job satisfaction or innovative behavior. In addition, positive psychological capital and creative self-efficacy have a complete double-mediation relationship between the employees' perceived leader's creativity and employees' innovative behavior. However, positive psychological capital and creative self-efficacy don't have a double-mediation relationship between the employee's perceived leader's creativity and employees' job satisfaction. Finally, Team cohesion was found to moderate the relationship between perceived leader creativity, positive psychological capital (or creative self-efficacy). However, the research model that the moderated mediating effect of team cohesion on the relationship between leader's creativity, the mediating variables(positive psychological capital and creative self-efficacy), and job satisfaction (or innovative behavior) was significant only for groups with high team cohesiveness. This study examined the needs of the times for the importance of creativity of perceived leaders and analyzed the relationship between factors influencing job satisfaction and innovation behavior of organizational members. The study is meaningful in that it suggested a plan to establish a specific organizational strategy to enhance positive psychological capital and creative self-efficacy.

• Journal of Korea Water Resources Association
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• v.57 no.1
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• pp.35-44
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• 2024

Research in dam inflow prediction has actively explored the utilization of data-driven machine learning and deep learning (ML&DL) tools across diverse domains. Enhancing not just the inherent model performance but also accounting for model characteristics and preprocessing data are crucial elements for precise dam inflow prediction. Particularly, existing rainfall data, derived from snowfall amounts through heating facilities, introduces distortions in the correlation between snow accumulation and rainfall, especially in dam basins influenced by snow accumulation, such as Soyang Dam. This study focuses on the preprocessing of rainfall data essential for the application of ML&DL models in predicting dam inflow in basins affected by snow accumulation. This is vital to address phenomena like reduced outflow during winter due to low snowfall and increased outflow during spring despite minimal or no rain, both of which are physical occurrences. Three machine learning models (SVM, RF, LGBM) and two deep learning models (LSTM, TCN) were built by combining rainfall and inflow series. With optimal hyperparameter tuning, the appropriate model was selected, resulting in a high level of predictive performance with NSE ranging from 0.842 to 0.894. Moreover, to generate rainfall correction data considering snow accumulation, a simulated snow accumulation algorithm was developed. Applying this correction to machine learning and deep learning models yielded NSE values ranging from 0.841 to 0.896, indicating a similarly high level of predictive performance compared to the pre-snow accumulation application. Notably, during the snow accumulation period, adjusting rainfall during the training phase was observed to lead to a more accurate simulation of observed inflow when predicted. This underscores the importance of thoughtful data preprocessing, taking into account physical factors such as snowfall and snowmelt, in constructing data models.

• Journal of the Korea Organic Resources Recycling Association
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• v.31 no.4
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• pp.13-28
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• 2023

This study assessed the biochemical methane potential (B_u-P) of three grass species-Poa pratensis (PP), Zoysia japonica (ZJ), and Agrostis stolonifera (AS). B_u-P values were determined as 0.330 Nm³/kg-VS_added for PP, 0.297 Nm³/kg-VS_added for ZJ, and 0.261 Nm³/kg-VS_added for AS. Notably, PP exhibited superior suitability for methane production. The investigation also examined the impact of silage storage duration on PP grass clippings, revealing a 19% decline in B_u-P from an initial value of 0.269 Nm³/kg-VS_added on day 0 to 0.217 Nm³/kg-VS_added on day 180. Throughout the storage period, there were significant increases in neutral detergent fiber (NDF), acid detergent fiber (ADF), and crude protein (CP) contents, rising from 67.59%, 39.68%, and 3.02% on day 0 to 77.12%, 54.65%, and 6.24% on day 180, respectively. These findings highlight the influence of storage duration on the anaerobic digestibility of PP grass clippings. To effectively utilize grass clippings as a renewable resource for methane production, further studies considering factors such as initial moisture content, pretreatment methods, and potential effects of residual pesticides are necessary to optimize anaerobic digestion efficiency for herbaceous biomass.