• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.345-352
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• 2021

Guided by a resource-based theory, this study is the first one that takes a quantitative approach to identify determinants of competitiveness of women-owned small and medium enterprises (SMEs) in Vietnam. The study employs time series data of Vietnamese SMEs extracted from the Vietnam Small and Medium Enterprises Survey conducted biennially from 2005 to 2015 in ten Vietnamese provinces. Firm competitiveness hereby is indicated by revenue, market share, profitability, and export volume. The research reveals a number of determining factors, of all, research and development, labor skills, business environment, technology investment are the most important factors, followed by capital and headcount. It is indicated that the determining factors have different influences on competitiveness obtained by different measurements. Therefore, it is based on specific targets and situations to make wise business decisions. The authors also make comparisons among groups of women-owned enterprises divided by their firm age, location, ownership, export, age, and educational background of business owners. The findings serve as critical empirical evidence and provide policy recommendations for improving the competitiveness of women-owned SMEs in Vietnam. The recommendations range from technology support, education and professional support for female entrepreneurs, access to capital and human resources to business environment improvement.

• Journal of Korea Multimedia Society
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• v.24 no.9
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• pp.1299-1310
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• 2021

Under the background of the rapid development of digital educational games, we have to evidently research the elements of the achievement system of children's DEG (Digital Educational Game), and analyze the relations between the elements and make a profound study on the achievement system and its components on the impact of player's attitude. Compared with the existing research, the research contents and methods are innovative and reliable. The results show that players have a positive attitude towards the DEG achievement system, DEG achievement system has important value and role for educational games. Which is made of five elements: symbol, reward, logic, social interaction, and knowledge. The five elements interact with each other and have a positive impact on players' attitudes. DEG achievement system with five elements will bring players a positive experience. These findings provide a detailed study of the components of the achievement system. With all of these, we can explain the role and relationship of the components, and provide new ideas and empirical evidence for the design and development of children's educational game achievement system. The above findings provide a detailed description of the components of the DEG achievement system, explain the role and value of each component, and the relationships and patterns among the components, it provides a new perspective and empirical evidence for the design and development of the children's system DEG results.

• Korea Trade Review
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• v.44 no.2
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• pp.239-267
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• 2019

The purpose of this study is to identify the effects of employment insecurity on organizational commitment and turnover intention, and mediating roles of conflict in Chinese enterprise workers. We examined the theoretical background and conducted an empirical study. The statistical analysis results revealed the following. First, employment insecurity has significant negative effects on organizational commitment and positive effects on turnover intention. Second, employment insecurity has significant positive effects on task and relationship conflicts. Third, task and relationship conflicts have positive significant effects on turnover intention. Fourth, intragroup conflicts (task and relationship conflicts) have partial mediating effects between employment insecurity and organizational commitment, and turnover intention, but task conflicts have no mediating effects between employment insecurity and organizational commitment. On the basis of the research findings, this paper discusses the theoretical and empirical implications of the research, and provides directions for future research.

• Journal of Distribution Science
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• v.19 no.6
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• pp.21-28
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• 2021

Purpose: Facing numerous challenges, organizational management is one of the most important research areas for organizations which handles workers' behaviors when they are within their workplace and organization to make more profits. The current research aims to analyze the effect of organizational management factors on direct employee consultation in distribution channels. Research design, data, and methodology: To achieve the purpose of the study and provide adequate empirical results, the current authors conducted the structural equation analysis using IBM AMOS 24.0 and collected 387 U.S employees in distribution channels (Wholesale and Retail shops). Results: Investigating the relationships between three organizational management factors and direct employee consultation, we found out that organizational practitioners in distribution channels face numerous challenges that must be resolved to ensure effective direct employee consultation to benefit employees. Empirical findings suggest that practitioners and leaders in distribution channels should focus on developing employee psychological management and utilizing direct employee consultation. Conclusions: In sum, the present research concludes that it must ensure that the employee in distribution channels should be a comfortable environment to appropriately respond to consultations. An approachable management team is ideal for employee consultations to find the right ways to keep employees at par with the consultation issues.

• Asia Pacific Journal of Business Review
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• v.6 no.2
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• pp.61-76
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• 2022

Based on the concept of advertising expenditure, manufacturing firm performance, and enterprise life cycle, this research conducts the listed Chinese manufacturing listed in 2016-2018 as the research sampling and divides these listed companies into three periods: growth, maturity, and decline. Next, this paper conducts empirical research from three aspects: advertising expenditure or investment and manufacturing firm performance, lag effect of advertising expenditure, and outcome effect and lag effect of advertising investment. It is found that in different stages of manufacturing enterprises, different advertising expenditures will have different impacts on the performance of manufacturing enterprises. In the growth stage, the advertising investment of manufacturing enterprises will significantly affect the performance results of the current period, and there will be the long-term lag effect. In contrast, the mature stage of enterprises' advertising investment has a shorter period of lag effect, while in the recession stage, the mature stage of manufacturing enterprises' advertising investment will have a shorter period of lag effect. The empirical results are not significant. This study provides a reference for manufacturing enterprises in different stages in the decision-making of advertising investment.

• Journal of Distribution Science
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• v.20 no.6
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• pp.1-10
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• 2022

Purpose: This research proposes a new modified Recency-Frequency-Monetary (RFM) model by extending the model with spatial analysis for supporting decision-makers in discovering the promotional target market. Research design, data and methodology: This quantitative research utilizes data-mining techniques and the RFM model to cluster a university's provider schools. The RFM model was modified by adapting its variables to the university's marketing context and adding a district's potential (D) variable based on heatmap analysis using Geographic Information System (GIS) and K-means clustering. The K-prototype algorithm and the Elbow method were applied to find provider school clusters using the proposed RFM-D model. After profiling the clusters, the target segment was assigned. The model was validated using empirical data from an Indonesian university, and its performance was compared to the Customer Lifetime Value (CLV)-based RFM utilizing accuracy, precision, recall, and F1-score metrics. Results: This research identified five clusters. The target segment was chosen from the highest-value and high-value clusters that comprised 17.80% of provider schools but can contribute 75.77% of students. Conclusions: The proposed model recommended more targeted schools in higher-potential districts and predicted the target segment with 0.99 accuracies, outperforming the CLV-based model. The empirical findings help university management determine the promotion location and allocate resources for promotional information distribution and student recruitment.

• Nuclear Engineering and Technology
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• v.55 no.4
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• pp.1507-1517
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• 2023

Centrifugal pumps are a crucial part of nuclear power plants, and their dependable and safe operation is crucial to the security of the entire facility. Cavitation will cause the centrifugal pump to violently vibration with the large number of vacuoles generated, which not only affect the hydraulic performance of the centrifugal pump but also cause structural damage to the impeller, seriously affecting the operational safety of nuclear power plants. A closed cavitation test bench of a centrifugal pump is constructed, and a method for precisely identifying the cavitation state is proposed based on Complementary Ensemble Empirical Mode Decomposition (CEEMD) and Deep Residual Shrinkage Network (DRSN). First, we compared the cavitation sensitivity of pressure fluctuation, vibration, and liquid-borne noise and decomposed the liquid-borne noise by CEEMD to capture cavitation characteristics. The decomposition results are sent into a 12-layer deep residual shrinkage network (DRSN) for cavitation identification training. The results demonstrate that the liquid-borne noise signal is the most cavitation-sensitive signal, and the accuracy of CEEMD-DRSN to identify cavitation at different stages of centrifugal pumps arrives at 94.61%

• The Journal of Industrial Distribution & Business
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• v.14 no.7
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• pp.9-18
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• 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.

• Journal of Distribution Science
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• v.22 no.1
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• pp.37-46
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• 2024

Purpose: This study aims to address the overlooked micro-level aspects within Smart Manufacturing (SM) research, rectifying the misalignment in manufacturing firms' estimation of their technological adoption capabilities. Drawing upon the Social-Technical Systems (STS) theory, this paper utilises innovation capability as a mediating variable, constructing a human-centric organizational model to bridge this research gap. Research design, data and methodology: This study collected data from 233 Chinese manufacturing firms via online questionnaires. Introducing innovation capability as a mediating variable, it investigates the impact of social-technical system dimensions (work design, social subsystems, and technical subsystems) on SM adoption willingness. Smart PLS 4.0 was employed for data analysis, and Structural Equation Modelling (SEM) validated the theoretical model's assumptions. Results: In direct relationships, social subsystems, technical subsystems, and work design positively influence firms' innovation capabilities, which, in turn, positively impact SM adoption. However, innovation capability does not mediate the relationship between technical subsystems and SM adoption. Conclusions: This study focuses on the internal micro-level of organisational employees, constructing a human-centric framework that emphasises the interaction between organisations and technology. The study fills empirical gaps in Smart Manufacturing adoption, providing organisations with a means to examine the integration of employees and the organisational social-technical system.

• Proceedings of the Korean Society of Applied Entomolohy Conference
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• 2002.11a
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• pp.61-61
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• 2002