• Journal of Korean Library and Information Science Society
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• v.45 no.3
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• pp.249-270
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• 2014

The purpose of this research is to suggest a library marketing model. To achieve the study purpose, this research adopted content analysis methodology. The research papers relating to the subject library marketing were analyzed using qualitative content analysis method. In addition, the study result was revised through the comparison with the general nonprofit marketing process model. As a result, library marketing model was proposed. The final library marketing model was composed of the following elements: 1)Customers(Library users), 2)Internal environmental changes, 3)External environmental changes, 4)Set library marketing goals, 5)Various library marketing strategies, 6)Specific marketing strategy tactics, 7)Implementation of the tactics, 8)Evaluation, 9)Positive evaluation result, 10)Negative evaluation result, 11)Customer satisfaction, 12)Increased library usage rate. and 13)Establishment the positive social value of library.

• Fashion & Textile Research Journal
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• v.7 no.6
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• pp.609-616
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• 2005

The purposes of this study were to investigate relationship marketing in fashion retail setting through literatures and were to set up a relationship marketing model which is suitable for fashion stores. In order to achieve the purposes of this study, concepts and properties of relationship marketing were studied through the previous studies. Relationship marketing research tendency in retail setting was examined and relationship marketing strategies of fashion stores were examined. As a results, relationship marketing process model for fashion stores was developed. The variables influenced on long-term relationship intention of fashion consumers may be relationship benefits, satisfaction, trust, and commitment. Relationship benefits might have an influence on satisfaction, trust, and commitment. Finally commitment might have an influence on long-term relationship intention. Also, Consumer buying characteristics and consumer relationship disposition might have an influence on relationship marketing process model for fashion stores.

• Asia Marketing Journal
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• v.11 no.1
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• pp.39-72
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• 2009

With the growing importance of accountability, it is getting necessary to test the impact of marketing expenditure on marketing performance. Including recent ROM, we can find a few researches about marketing accountability. But there are a few problems about definitions and metric of marketing expenditure and marketing performance. Therefore, by defining and analyzing the impact of marketing expenditure on marketing performance, we are going to set the classification scheme of marketing expenditure and marketing performance. Based on research findings, new definitions and metrics are proposed as follows. First, we suggest the classification scheme of marketing expenditure. Marketing expenditure is defined as expense accounts in the balance sheet for doing marketing tasks. Marketing expenditures includes many accounts, for example, marketing research, advertising, sales promotion, foreign market development, physical distribution, after services. Among these marketing investment, advertising expenses have a positive effect on marketing performance. Second, we suggest the classification scheme of marketing performance. Already, marketing performance has been defined as financial metrics, customer metrics, market metrics, and corporate social responsibility. But, in this study, we find that the process model is not relevant for explaining association between the performance metrics. The process model is a virtuous cycle: "customer metrics→market metrics→financial metrics→firm valuation metrics." But, in this study, it is not supported or a little significant association between these metrics. Based on these results, we suggest the balance model or flower model as the classification scheme of marketing performance.

• Journal of The Korean Society of Agricultural Engineers
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• v.47 no.4
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• pp.3-12
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• 2005

The object of this study is to develop simulation model using GASS for analyzing complex agricultural marketing. It's hard to analyze agricultural marketing system which consists of many marketing unit by economic mathematical model. This paper proposes simulation model based on GASS which can reduce complexity of system, and applies the national average wholesale cost and retail cost of alpine Chinese cabbage at 2001, 2002 to proposed simulation model.

• Asia-Pacific Journal of Business
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• v.3 no.1
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• pp.10-16
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• 2012

India is having a high growth rate of Mobile subscribers which has opened up a new marketing channel of communication with customers. There is a need to study the factors affecting Mobile user's attitude towards Mobile marketing and the relationship between these factors. To study the mobile users attitude towards mobile marketing 489 mobile users opinion is taken on 12 statements for a period of 5 months. Using factor analysis method these 12 statements are grouped into 5 groups they are Mobile advertisement, Mobile Usability, Mobile Promotions, Mobiles shopping and Mobile Marketing. Confirmatory Factor Analysis (CFA) was performed to confirm the findings. SPSS Statistics 17.0 is used to conduct factor analysis and the validity of the model. Once the model was validated, SPSS Amos 18.0 was used to fit a model based on Structure Equation Model to analyze the factors affecting Mobile user's attitude and the relationship between these factors. The present study revealed that Mobile Advertisement and Mobile Sales Promotion are having positive effect on Mobile Marketing where as Mobile Shopping and Mobile Phone Usability is having negative effect on Mobile Marketing. The impact of indicators like Mobile Phone user's permission and personalization of Mobile Phone communication on Mobile Marketing are also discussed in this article.

• Journal of Distribution Science
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• v.20 no.4
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• pp.33-50
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• 2022

Purpose: This pilot study aims to conceptualize a new green marketing mix for retail consumers based on Stimulus-Organism-Response (SOR) model. Moreover, it also aims to conceptualize a testable research model of new green marketing mix with consumers' green purchasing behavior, and to validate the measurement model with traditional as well as modern suggested validating techniques. Research design, data and methodology: A pilot test data from 75 respondents of retail buyers of energy-efficient electric appliances in Pakistan were tested for the confirmatory factor analysis (CFA) by examining a measurement model of the construct through different validation techniques (like Composite Reliability, McDonald's Omega (ω), rho (ρA), HTMT, etc.) as heretofore these scales were not validated through these modern methods. Results: The results revealed that the instrument has a certain degree of reliability and validity through different validating techniques. All the measurement items reach the suggested threshold values. Conclusions: Therefore, this study conceptualized an integrated framework of all the three stakeholders of the environment (government, companies, and public or consumers) to achieve environmental sustainability. Hence, future studies can extend these findings and conduct a full-scale study to establish an empirical relationship between the 5G's of green marketing for retailing businesses and consumers' green purchase behavior.

• Journal of Distribution Science
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• v.14 no.11
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• pp.61-73
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• 2016

Purpose - Marketing scholars have developed various types of mathematical models for describing marketing phenomenon, because there is no single model comprehensive enough to incorporate all the relevant marketing phenomena. This study tries to summarize the behavioral foundations and the mathematical derivations of the most widely used marketing models and discusses their strategic implications. This study selected four representative marketing models: multinomial logit(MNL) model, elimination-by-aspects(EBA) model, Hauser and Shugan model and Bass diffusion model. Especially, this study focuses on Hauser and Shugan(1983)'s Defender model and discusses the model's behavioral foundation and its implications. Research design, data, and methodology - Of the four selected model, the multinomial logit model is selected as the basic normative model and the other three models are described as descriptive models in contrast. Starting the discussion from the multinomial logit model, this study explains what important strategic variables are incorporated in each of the four models. The IIA(independence of irrelevant alternatives) axiom and Luce choice model is also discussed in relation to the multinomial logit model. The concept of 'efficient frontier' is discussed in relation to Hauser and Shugan's model. Graphs and tables are used to represent the key implications. No empirical study is included. Results - The analyses of the mathematical marketing models are shown to be very useful in understanding the essence of positioning strategy. The multinomial logit model implies the importance of increasing utility or consumer preference level. The EBA model implies the importance of lowering the inter-brand similarity and dominating the competitors. Hauser and Shugan model implies the importance of considering customer heterogeneity distribution in selecting the target market. Conclusions - It is shown that the concepts of 'efficient frontier' is useful in understanding the effectiveness of positioning strategy. Market positioning can be understood as occupying some place on the efficient frontier. The important strategic implications can be summarized as follows: Always try to increase customer preference by providing what they value, and differentiate from competing alternatives as much as possible. The best positioning strategy is to dominate all the competitors and the worst is to be dominated by the competitors.

• Journal of Digital Contents Society
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• v.13 no.2
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• pp.205-211
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• 2012

This paper presents research result of digital marketing model for improving enterprise marketing campaign performance. Recently, the enterprises which had completed projects such as ERP, CRM, and SCM for business value chain process transformation are working to improve enterprise marketing process. It is the trend for enterprises to use digital marketing tactics to overcome the limit of existing traditional marketing tactics. Especially, enterprises try to adopt digital marketing for marketing campaign performance. In this paper, digital marketing research model and hypothesis were established and statistically analyzed by marketing expert survey research. The research finding is that Web Analytics, Social Analytics, Personalized CRM, Campaign execution automation, Real-Time campaign management can be core influencers for marketing campaign performance improvement.

• Journal of the Korea Society of Computer and Information
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• v.24 no.9
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• pp.135-142
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• 2019

Given the ability and skills required by modern people, marketing can be divided into knowledge-related skill such as marketing plans, market segmentation, and marketing mix management and supportive skill such as communication, inter-organizational management, creativity, and decision making. Knowledge related skills can be nurtured in existing marketing classes, but it is recognized that special educational programs such as self marketing are needed to develop and train supportive skills regardless of education levels or major education. This paper is aimed to design for marketing educational program for the self marketing. In this study, a DACUM method job analysis to extract contents by specialists such as model setting of task and job, job statement, job analysis, education course development, and so on. In the first place, this report presents job analysis model by procedures for developing selection criteria of examination questions of the self marketing qualification. The first step is preparation for job analysis, the second step: the establishment of job models, the third step : the job specification and task analysis, the fourth step: the review of job model, the fifth step: the establishment of subjects for examination matrix table for making questions.

• Korean Journal of Agricultural Science
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• v.48 no.2
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• pp.219-230
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• 2021

In Korea, the industry and marketing of livestock has grown because of increases in consumers' income and changes in food consumption trends. Livestock production and consumption increased tenfold from 1970 to 2018, and this rise will continue. However, the quality of marketing information for Korean livestock has remained low. The Korea Institute for Animal Products Quality Evaluation (KAPE) operates programs that provide marketing information on livestock, but the social benefits of these programs have not been objectively evaluated. The purpose of this study was to estimate the social benefit of the programs offering marketing information on Korean livestock. Survey and analysis using an economic model (double-bounded dichotomous choice contingent valuation model), revealed a few findings. First, the users of the marketing information programs offered by KAPE recognized the value of these programs and demonstrated their willingness to pay for this marketing information. Second, the social values of the programs offering marketing information on livestock were estimated as 1.1 billion won (marketing information on main livestock) or 5.3 billion won (price information on poultry), and these social values were 2 or 6 times greater than the cost to operate the programs for offering information. Finally, the program that provides marketing information on domestic livestock provides sufficient social benefits, so KAPE should expand these programs.