• Journal of Community Nutrition
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• v.5 no.4
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• pp.218-229
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• 2003

Over the past two decades in the United States, social marketing has become an increasingly popular means of delivering nutrition education for the purpose of eliciting a specific behavior change. This manuscript defines social marketing via traditional marketing concepts and jargon, as well as through a communications strategy that can be used to guide message and campaign development. Research and evaluation strategies necessary to support the development and assessment of campaign promotions, is discussed. Four campaigns implemented in the United States, and one campaign implemented in Indonesia, are discussed in terms of the strategies presented. These campaigns illustrate how this educational technique and an array of assessment approaches have been applied to varied nutritional issues across diverse target audiences and settings. Practical recommendations, as well as discussion of issues regarding the advantages and disadvantages of using social marketing as an educational strategy, campaign sustainability, and philosophical considerations regarding the use of this educational approach, are addressed.

• Journal of KIISE:Software and Applications
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• v.32 no.5
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• pp.335-345
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• 2005

In personalized marketing, it is important to maximize customer satisfaction and marketing efficiency. As personalized campaigns are frequently performed, several campaigns are frequently run simultaneously. The multiple recommendation problem occurs when we perform several personalized campaigns simultaneously. This implies that some customers may be bombarded with a considerable number of campaigns. We raise this issue and formulate the multi-campaign assignment problem to solve the issue. We propose dynamic programming method and various heuristic algorithms for solving the problem. With field data, we also present experimental results to verify the importance of the problem formulation and the effectiveness of the proposed algorithms.

• Asia Marketing Journal
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• v.25 no.1
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• pp.15-25
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• 2023

Innovation is no longer the purview of high-tech industries; it is blossoming in the home appliances and cosmetics sectors. However, consumers' anxiety about the risk of new products prevents them from reaping the benefits of innovation. This anxiety is driven by customer's lack of prior information on new products. This study examines how difference age between the chronological age of consumers and their cognitive age affects consumers' willingness to search for information on innovative products, leading to reduced new-product anxiety. According to a survey of participants who actually bought an innovative product, we found that participants searched for more information when they perceived themselves to be younger than their chronological age (a high difference age). Where participants did not proactively search for information (due to a low difference age), they could be encouraged to do this through marketing campaigns. Together, these findings expand our understanding of how consumers' difference age can be leveraged in digital marketing to enable companies to more strategically reach consumers when planning or launching innovative products.

• International Journal of Advanced Culture Technology
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• v.8 no.2
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• pp.146-158
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• 2020

As one of the successful brand activism ad campaigns in recent years, the current study focuses on the Always #LikeAGirl campaign that took on the issue of girls and female empowerment. As a viral video marketing campaign with YouTube as their main vehicle for campaign dissemination, this study examined how Always brand activism campaigns spread on YouTube by conducting a network analysis of YouTube video networks generated by the #LikeAGirl campaign spanning across five campaign periods. Quantifiable data (i.e., views, comments, likes, dislikes, user-generated videos) and structural network patterns show that the Always #LikeAGirl campaign was successful by both standards. Although the follow-up campaign periods were not as successful as the initial campaign, the substantial amount of views, comments, likes, and user-generated content showed that the consecutive campaigns still had impact. As shown through the network patterns, the main campaign ads were central in the diffusion of the campaign during the earlier periods but that role was passed onto the user-generated contents in the later periods. Implications of the findings and future social network analysis studies in brand advertising and brand activism campaigns are further discussed.

• 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.

• The Research Journal of the Costume Culture
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• v.15 no.5
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• pp.875-887
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• 2007

The purpose of this study is to provide the fashion industry in Korea with materials that could enhance its international competitiveness by suggesting marketing strategies for fast fashion brands after taking product, price, place, and promotion into consideration. The product strategy should focus on developing products that accurately reflect the general market trend and consumer demand, selecting optimal materials, and pursuing internal production. This, coupled with strategic cooperation with designers, will ensure reliable quality and enhance the brand image. The pricing strategy should place greater emphasis on reducing production costs. Diverse task outsourcing and design competition, for instance, can lower the cost of design development. The place strategy should be set according to the operation of a systematic and efficient distribution system based on SPA, an automatic delivery system, sales or return system, speed control system, and a value chain that consists of horizontal business alliances. The promotion strategy should be run under the central control of the headquarters using various unique VMDs. Furthermore, online marketing campaigns, spectacular fashion shows, design competitions, catalogue marketing campaigns, and other new sales promotion schemes could all be introduced.

• Information Systems Review
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• v.11 no.1
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• pp.49-67
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• 2009

E-mail marketing is the cheapest channel in target marketing. The channel works amazingly well for marketers who know how to use it. The e-mail marketers are able to integrate transactional and behavioral data to improve the targeting content of e-mail marketing campaigns. The cost in e-mail marketing is low and e-mail marketing makes no pollution. But, the e-mail response rate is lower than all the other channels. So, it is very hard for companies to increase their sales volumes, though the companies are ready to execute e-mail marketing campaigns on the side of computer systems. Marketers can send messages easily to target customers compared to other channels. But, the possibility to be read by the customers is low. Normal e-mails are continually devalued by spam mails. This study shows the influence of e-mail marketing to increase sales used by credit cards, on the basis of the real data promoted by A bank, in the Republic of Korea. The analysis on the traits of the respondent can help marketers to target customers. If additional studies on the response prediction model on the basis of traits of potential respondents are done, the targeting method to increase the effectiveness of e-mail marketing will be better structured and organized.

• Proceedings of the Korea Database Society Conference
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• 2001.11a
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• pp.76-112
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• 2001

Web personalization entails the creation and dissemination of person- or group-specific content -- including, but not limited to, advertising, marketing campaigns, cross- and up-sell recommendations, or service and support information. (omitted)

• Asia Marketing Journal
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• v.24 no.2
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• pp.62-77
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• 2022

Seeded marketing campaign (SMC) is a newly created type of marketing activities with the widespread use of social media. Previous research has examined to find out the optimal seeding strategy that yields the best outcome from the campaign. This research explores the relationships between the characteristics of the seeded influencer and user engagement. The data consists of information from 1062 seeded Instagram posts posted in September 2020 in Korea and 778 seeded influencers who posted those contents. Analyzed by negative binomial regression, our quadratic model suggests that the relationship between user engagement and the number of followers of the seeded influencer draws an inverted U-shape, indicating influencers with greater number of followers may not always be the best choice for the marketers. Moreover, this research shows that the negative marginal impact coming from the huge number of followers can be attenuated when the influencer is an expert of the seeded product.

• The Journal of Information Technology and Database
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• v.6 no.1
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• pp.103-114
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• 1999

Marketing decision support systems rely on an underlying enterprise information infrastructure. In traditional business situations, a limited number of product lines and markets divided into large chunks were adequately served by existing management information systems. With the advent of an increasingly segmented focus on niche markets and individual customers, the demand for market information has grown exponentially. The practical solutions offered by such data warehousing tools as OLAP and data mining directly address this need, allowing organizations to discover new niches. Marketing decision support systems built on these foundations provide organizations with new avenues for creating specifically targeted marketing strategies and promotional campaigns. The contribution of this article lies in introducing a graphical framework for data warehousing applications. Based on prior research, the framework links data warehousing and database marketing. To illustrate the effectiveness of this approach, three case examples of successful database marketing conclude the paper.