• Journal of Distribution Science
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• v.14 no.6
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• pp.99-106
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• 2016

Purpose - The antecedent to the relationship between the effect of the characteristics of strategic alliances and the performance of container liner shipping companies has been investigated in this study as container liner shipping companies' strategic alliances. It affects positively and negatively home, partner, and the third parties' performance in container liner shipping companies. Extensive literature reviews on shipper's strategic alliances reveal that strategic alliances in financial and non-financial performance of container liner shipping companies show the performance such as economic effects, business performance, global supply chain management performance, customer satisfaction, and forward integration and backward integration performance. The purpose of this study is to test empirically that the relationship between the characteristics of strategic alliances and financial and non-financial performance in container liner shipping companies. Structured equation modeling and confirmatory factor analysis were used to test the hypothesis using AMOS statistics program. Most previous researches focused on the relationship between the characteristics of strategic alliances and alliance types. There are few empirical studies that focus on business performance data because it is difficult to collect data in container liner shipping companies. However, this research measures financial and non-financial performance differently compared with the previous researches focusing on the characteristics of strategic alliances and alliance types measurements. Research design, data, and methodology - The conceptual model for the study is based on the studies of Lim (2010), Chen & Zhen (2009), and Wang & Meng (2014). The model is built around the factors of characteristics of strategic alliances and business performance. Cost, marketing, and service factors are regarded as proxy for the characteristics of strategic alliances. The financial and non-financial performance are regarded as proxy for the performance of strategic alliances. Based on the analysis of one hundred cases such as forwarder, shipper, and liner shipping companies, this study uses structural equation modeling to verify the effects of the characteristics of strategic alliances on business performance. Conclusions - This study provides container liner shipping companies to get some policy and practical implications in terms of the characteristics of strategic alliances and business performance. First, the cost factor for alliances characteristics has a positively significant influence on the financial and non-financial performance of strategic alliances. The cost factor relationship between high and low performance group does not have a significant difference on the performance of strategic alliances. Second, the marketing factor of alliances characteristics has a positively significant influence on the financial and non-financial performance of strategic alliances. The high performance group's marketing factor has a great non-financial performance than low performance group, but the low performance group's marketing factor has a grater financial performance than high performance group factor does. Third, the service factor of alliances characteristics has a negative influence on the non-financial performance of strategic alliances. The high performance group's service factor has a great non-financial performance than low performance group. Based on the findings from this study, related implications and future avenues deserve to be discussed.

• Journal of Distribution Science
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• v.2 no.1
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• pp.63-97
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• 2004

Nowadays port has changed so rapidly as other economic variables. The main issues of these changes are classified with some problems such as the progress of containerization and enlargement of ship size and its speed, the introduction and expansion of EDI system, and the inducement of private capital in port development. Therefore, the competition among ports is severer than before, especially in container cargos. Almost all ports try to strengthen their competitive power and enlarge their port performance and throughput through many kinds of efforts and strategies. Port marketing is important approach and methods in order to make understand port and make call on their ports, of course, realizing the importance of port for the regional economics and employment generation. In this paper, the various marketing concepts are redefined and applied in terms of port and shipping service with which marketing is not so much popular and familiar. After many diagnoses and investigations are executed with special logistical viewpoints and attention, this paper suggests some countermeasures of port marketing in the angles of 4Ps. The strategies and countermeasures are classified in 3 stages according to their broadness and specificity. The privatization of port and port competition need the renovation and rationalization of traditional port activities and old port operation customs. Although this paper suggest many ideas with focusing Busan port, these ideas will be used in other ports. I think it is necessary further study concerned this topics and some limitations which this paper contains.

• Journal of Distribution Science
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• v.11 no.12
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• pp.63-69
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• 2013

Purpose - Ethical consumption is the action of buying one product over another with an ethical idea in mind. It has gained in popularity since the 1990s with more emphasis being put on the power of consumer actions to create social, economic, and environmental change. Ethical consumption involves boycotts of certain products or brands as well as purchases linked to ethical issues. Cause-related marketing (the buying behavior of ethical consumption) involves a for-profit and non-profit entity teaming up to promote a product at the same time as promoting a social cause. Each time a consumer buys that product, a donation is made by the for-profit entity to the non-profit entity supporting the specific cause. Cause-related marketing has become a tremendously popular type of ethical consumption in recent years owing to its reputation of allowing companies to "do well by doing good." This study examines how consumers' perception of cause and attitude influence their attitude toward a cause-related marketing campaign and attempts to suggest implications for marketers. Research design, data, and methodology - First, this study was designed to examine the consumers' perception factors (cause involvement, attitude for cause, attitude for company and brand familiarity) in order to determine whether these factors have significantly affected consumers' attitude toward a cause-related marketing campaign. Second, this study developed a structural equation model and tested it empirically using survey data from 223 individual respondents. Respondents were undergraduate students in Chungnam. They were shown an existing real campaign message of cause-related marketing, and then filled out a questionnaire. Data were analyzed with SPSS 20.0 and AMOS 17.0 programs. Results - The hypotheses were tested using factor analysis and structural equation modeling. The study's results showed that brand familiarity, attitude to the company and attitude to the cause significantly affected consumers' attitude toward the cause-related marketing campaign and performance. In particular, attitude to the cause was significantly related to attitude and performance of the cause-related marketing campaign. However, the hypothesis about cause involvement was not supported with the results indicating that cause involvement did not affect consumers' attitude toward the cause-related marketing campaign. The findings underline the importance of consumer perceptions of the cause and the company and their attitude to the cause. They point to the importance of individual differences that influence consumer perceptions of the cause, the company and brand familiarity. Also of importance is the consumer's attitude to the cause. Conclusions - The findings suggest some practical implications in designing and implementing cause-related marketing campaigns. It is important to enhance brand familiarity and create a favorable attitude to the company and attitude to the cause before designing cause-related marketing campaigns. The rising popularity of cause-related marketing has been attributed to its potential to cut through advertising clutter. The findings in this study suggest that marketing campaigns supporting a cause make a difference.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.29-45
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• 2015

Response modeling is a well-known research issue for those who have tried to get more superior performance in the capability of predicting the customers' response for the marketing promotion. The response model for customers would reduce the marketing cost by identifying prospective customers from very large customer database and predicting the purchasing intention of the selected customers while the promotion which is derived from an undifferentiated marketing strategy results in unnecessary cost. In addition, the big data environment has accelerated developing the response model with data mining techniques such as CBR, neural networks and support vector machines. And CBR is one of the most major tools in business because it is known as simple and robust to apply to the response model. However, CBR is an attractive data mining technique for data mining applications in business even though it hasn't shown high performance compared to other machine learning techniques. Thus many studies have tried to improve CBR and utilized in business data mining with the enhanced algorithms or the support of other techniques such as genetic algorithm, decision tree and AHP (Analytic Process Hierarchy). Ahn and Kim(2008) utilized logit, neural networks, CBR to predict that which customers would purchase the items promoted by marketing department and tried to optimized the number of k for k-nearest neighbor with genetic algorithm for the purpose of improving the performance of the integrated model. Hong and Park(2009) noted that the integrated approach with CBR for logit, neural networks, and Support Vector Machine (SVM) showed more improved prediction ability for response of customers to marketing promotion than each data mining models such as logit, neural networks, and SVM. This paper presented an approach to predict customers' response of marketing promotion with Case Based Reasoning. The proposed model was developed by applying different weights to each feature. We deployed logit model with a database including the promotion and the purchasing data of bath soap. After that, the coefficients were used to give different weights of CBR. We analyzed the performance of proposed weighted CBR based model compared to neural networks and pure CBR based model empirically and found that the proposed weighted CBR based model showed more superior performance than pure CBR model. Imbalanced data is a common problem to build data mining model to classify a class with real data such as bankruptcy prediction, intrusion detection, fraud detection, churn management, and response modeling. Imbalanced data means that the number of instance in one class is remarkably small or large compared to the number of instance in other classes. The classification model such as response modeling has a lot of trouble to recognize the pattern from data through learning because the model tends to ignore a small number of classes while classifying a large number of classes correctly. To resolve the problem caused from imbalanced data distribution, sampling method is one of the most representative approach. The sampling method could be categorized to under sampling and over sampling. However, CBR is not sensitive to data distribution because it doesn't learn from data unlike machine learning algorithm. In this study, we investigated the robustness of our proposed model while changing the ratio of response customers and nonresponse customers to the promotion program because the response customers for the suggested promotion is always a small part of nonresponse customers in the real world. We simulated the proposed model 100 times to validate the robustness with different ratio of response customers to response customers under the imbalanced data distribution. Finally, we found that our proposed CBR based model showed superior performance than compared models under the imbalanced data sets. Our study is expected to improve the performance of response model for the promotion program with CBR under imbalanced data distribution in the real world.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.3
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• pp.295-304
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• 2019

The study aims to investigate the determinant factors in the organisation of a firm's innovative activities, and the impact of innovation capability on firm's performance of electronic firms in Ho Chi Minh city, Vietnam. How is the performance of electronic companies after delivering an innovation project? How will innovation capability affect firm's performance in electronic companies? This study aims to seek the answer of these questions. We employ a Structural Equation Model and the PLS technique in order to validate the theoretical model proposed in this study. With observation of 374 valid firms, based on Cronbach's Alpha analysis, EFA analysis, CFA analysis and SEM analysis, this study discovers 5 groups of factors including: (i) Institution factors; (ii) Attitude of leadership factors; (iii) Marketing factors; (iv) Technological resources factors; (v) Combination factors, which have direct impact on innovation capability of firms. There are 4 groups of factors that have positive impacts on financial performance of electronic firms, with descending order of importance as follows: (1) Attitude of leadership factors; (2) Quality of human resources factors; (3) Innovation capability; (4) Marketing activities factors. Research results are important implications for Government administrative agencies for business to consult and introduce effective support policies.

• Journal of Distribution Science
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• v.20 no.2
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• pp.101-108
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• 2022

Purpose: In this logistics disturbance period, this study conducts research of distribution and logistics firms in Korea. The purpose of this exploratory research is to analyze global competitive capability influence on business performance. And give managerial implications and contribute to academics. Research design, data, and methodology: This research empirically analyzes the relationship between global competitive capability and business performance. As for business performance this research considered non-financial performance and measured with business performance fulfillment. As for antecedent variables, this research measured three global competitive capability constructs; preparation, utilization, intensive capability. And each construct includes two capability concepts. This study used 2,316 executing direct export distribution and logistics industry firmsfrom KOTRA's GCL data. This research used frequency analysis, reliability analysis, correlation analysis, and step-wise regression analysis by SPSS26. Results: The result shows that all the variables except export infra showed statistically significant. As results show, mid/long strategy & global mind of preparation capability, both communication and marketing of utilization capability and market strategy and product/goods/service of intensive capability give a positive influence on business performance fulfillment. Conclusions: Based on the results, this research provide implication for practical management, contribution to academic, and suggestion for feature research.

• The Journal of Industrial Distribution & Business
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• v.9 no.9
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• pp.53-62
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• 2018

Purpose - The focus of this study is to investigate the structural influences such as brand value, relationship value, market orientation, long-term orientation, and performance. The effects of brand value and relationship value on the differences on transaction performance in b2b was investigated. Research design, data, and methodology - The subject of this study was a liquor and beverage distribution company that deals in b2b. The research hypothesis is based on literature of the preceding research analysis of brand value, relationship value, market orientation and long-term orientation. This study has constructs that was defined operationally by referencing previous studies. Operational questionnaire was used to investigate the target key staff who work in the liquor and beverage distribution company. 178 survey data were used for empirical analysis to prove the hypothesis. This study used structural equation techniques(AMOS) to prove the research hypothesis. Results - The main results of this empirical study were as follows. First, supplier's brand awareness has a positive effect on market orientation, but did not affect long-term orientation. Brand awareness of suppliers indicates that they are not directly related to long-term orientation. Second, supplier's brand image has a positive effect on market orientation and long-term orientation in b2b transaction. So, the brand image and reputation of the supplier suggest that it is important for the b2b transaction to have a market orientation tendency or a long-term orientation. Third, supplier's relationship value has a positive effect on long-term orientation, but does not affect market orientation. Relationship value indicates that they are not directly related to market orientations of the buyer. Fourth, Market orientation has a positive effect on long-term orientation and marketing performance and long-term orientation has a positive effect on marketing performance in b2b. Additionally, the buyers market and long term orientation are important factors in marketing performance in b2b. ' Conclusions - Based on empirical results, this study confirmed that brand image rather than brand awareness positively influenced long-term orientation as well as market orientation in b2b. Relationship value can be found in transactions, which is important for long-term orientation. Especially, these findings are suggestive in the consumer goods distribution market.

• Journal of Korea Port Economic Association
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• v.30 no.3
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• pp.141-161
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• 2014

The Global economic development and high levels of industrialization force many companies to consider an adoption of GSCM. This study investigates characteristics of GSCM focused on the environmental management of distribution companies. The purposes of this study are as follows; first, we examine environmental factors of GSCM companies, and relationships between environmental factors and environmental performance. The environmental factors of GSCM companies were assorted into supplier, marketing, competitor, internal business environment, and eco-design. Second, we study the influences of environmental factors on the environmental performance in the GSCM companies according to the agility. 118 questionnaires collected from distribution companies based on GSCM, and the research model was tested by Smart PLS. The results of this study are as follows; first, the GSCM environmental factors like supplier, marketing, competitor, internal business environment, and eco-design had a positive effect on the environmental performance. Second, the environmental factors like marketing and competitor had a positive effect on the environmental performance according to the agility. These results could provide useful guidelines for distribution companies and academic implications for researchers.

• The Journal of Industrial Distribution & Business
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• v.15 no.8
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• pp.1-12
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• 2024

Purpose: Marketing networks are essential for firms to gain new information and resources, yet their effect on innovation performance under uncertainty remains unclear. This study aims to elucidate the effects of technological and demand variability on the innovation performance of first-tier suppliers, considering different levels of structural holes. It particularly explores how structural holes moderate the relationship between uncertain factors and innovation performance. Research design, data and methodology: To assess the hypotheses, a survey was conducted with the first-tier suppliers. The survey targeted internal networks and the relationships between manufacturers, suppliers, and subsuppliers. Structural equation modeling was employed to validate the hypotheses using measures from previous research. Results: The findings indicate that the impact of technological uncertainty and demand variability on innovation performance varies based on the extent of structural holes in the network. Conclusions: This study provides both theoretical and practical insights for distribution channels, highlighting the competitive advantage of interfirm networks in uncertain conditions. However, the focus on the engineering industry may limit the generalizability of the findings. Future research should explore a broader range of industries to improve result applicability.

• Journal of Distribution Science
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• v.12 no.10
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• pp.57-65
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• 2014

Purpose - This study aims to identify the effect of corporate eco-friendly marketing, which focuses on corporate social responsibility, on the environment, natural preservation and protection, and environmental concern among consumers. Research design, data, and methodology - A total of 92 valid questionnaires were used for analysis. A structured model was established and a 3-step mediated regression test was employed to see how consumers' perception of ethical consumer behavior and price sensitivity are influential in relation to the impact of consumer's perception of eco-friendliness on the using intention in relation to eco-friendly products. Results - Three factors of eco-friendly perception all have a positive impact on ethical consumer behavior, thus lowering their price sensitivity. In particular, it is found that environmental knowledge and environmental concern are important to promote ethical consumer behavior. Conclusion - It is found that, to increase the using intention of eco-friendly products, an enterprise should practice an eco-friendly marketing strategy, deliver eco-friendly related knowledge, and include contents to allow consumers to take an interest in the environment for effective performance of marketing.