• Asian Journal of Business Environment
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• v.14 no.3
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• pp.1-11
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• 2024

Purpose: This study analyzes the impact of weather conditions, holidays, and sporting events on beer sales, providing insights for market strategy and inventory management in the beer industry. Research design, data and methodology: Beer types were classified into Lagers and Ales, with further subcategories. The study utilized weekly retail sales data from January 2018 to August 2020, provided by Nielsen Korea. An ARMAX model was employed for time-series analysis. Results: The analysis revealed that increasing temperatures positively influence sales of Pilsners and Pale Lagers. Conversely, higher precipitation levels negatively affect overall Lager sales. Among Ales, only Stout sales showed a significant decrease with increased rainfall. Sunshine duration did not significantly impact sales for any beer type. Humidity generally had little effect on beer sales, with the exception of Amber Lagers, which showed sensitivity to humidity changes. Holidays and sporting events were found to significantly boost sales across most beer types, although the specific impacts varied by beer category. Conclusions: This study offers a detailed analysis of how weather conditions and specific events influence different beer type sales. The findings provide valuable insights for breweries, beer processors, and retailers to optimize their market strategies and inventory management based on weather forecasts and seasonal events. By understanding the consumption patterns of each beer type in relation to environmental factors, businesses can better anticipate demand fluctuations and tailor their operations accordingly.

• Journal of East Asia Management
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• v.2 no.1
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• pp.105-132
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• 2021

The purpose of this study is to summarize recent research on new product development (NPD) and to examine the direction of future research on NPD. In recent years, product development has also become more diversified due to the formation and disappearance of new markets, the increasing commoditization of products, and the emergence of new technological infrastructures such as ICT and crowdsourcing. In addition, NPD research is also in a situation where new research is emerging along with the progress of research in related areas, such as open innovation and customer participation. On the other hand, research on NPD has become increasingly fragmented into themes related to NPD as research progresses, making it more difficult to grasp the overall picture of NPD research, although review articles on NPD have been written. Not many review articles have been written in a way that goes beyond the individual themes of NPD research. However, even though it is impossible to look at NPD research as a whole, this study believe that by daring to conduct an exhaustive review of recent NPD research, rather than individual issues, and by understanding the types of discussions that have taken place in recent NPD research, this study can identify areas that require further discussion. Based on the above, the purpose of this study is to comprehensively examine and organize the topics and issues that have been dealt with in recent NPD research, point out the topics that have not been adequately dealt with in previous research, and indicate the direction of future research. This study found that (1) half of the previous studies this study reviewed dealt with the topic of collaboration in NPD, (2) existing studies on NPD assume that the purpose of NPD is to gain competitive advantage through differentiation, but the formation of the market itself through NPD has not been discussed However, it became clear that there has been no discussion of the formation of the market itself through NPD. While the formation and disappearance of new markets has become a common phenomenon in recent years as the competitive environment changes more and more rapidly, the formation of new markets through NPD may also be discussed as a new research area of NPD. However, the formation of new markets through NPD could be discussed as a new research area of NPD. This study examined the possibility of discussing the formation of new markets through NPD by using market category studies.

• Asia Marketing Journal
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• v.14 no.3
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• pp.169-184
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• 2012

All firms require new stimulus to spurt growth. Therefore it is necessary to successfully develop new products and to employ appropriate marketing practices for the new products to enter and settle in the market. Binggrae, a Korean company that specializes in dairy and processed dairy products, introduced a ready-to-drink (RTD) coffee product, 'a Café la' to expand its business into the coffee market in 2008. Binggrae was a latecomer in the RTD coffee market but a Café la has shown an impressive average sales growth rate of 115% as of 2011 since the launch. Moreover, it is a steady bestselling coffee brand among the Polyethylene terephthalate (PET)bottle category. Binggrae found potential and opportunity in the growing coffee market and made efforts to develop a new product that can be differentiated from the existing products. The result was PET bottle coffee, which was more portable and convenient to drink than coffee products offered in cups or cans. PET bottle coffee is produced through the patented Aseptic Filing System, thus the original coffee flavor stays fresh when combined with milk and has a longer shelf life than coffee products in cups. Moreover, as the taste of coffee consumers has become more sophisticated, Binggrae developed a premium product by differentiating the product processing method and by using higher-quality Arabica beans. After launching the new product, the company also employed a well-designed communication strategy. First, Binggrae was able to confirm the level of market demand and market potential for the product by employing BTL (Below the Line) marketing strategies through the consumers' word-of-mouth. Afterwards, the company invested its resources for a full-scale ATL (Above the Line) marketing campaign. Later a Café la's TV commercial effectively portrayed the product's characteristics, and succeeded in raising consumer awareness of the product. As a result, a Café la has become the bestselling brand in the PET bottle coffee market. The successful new product marketing strategy of Binggrae'sa Café la offers many valuable implications for companies planning to launch new products in the future.

• Culinary science and hospitality research
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• v.22 no.1
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• pp.108-116
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• 2016

Halal market has been growing tremendously recently. The food products occupies the most share in the Halal market category. The phenomenon could be explained by the increased number of consumer among Halal products. Apart from Muslims, who consumes Halal product due to religious obligations, it is assumed that non-Muslims have also started consuming Halal products, especially food items. Halal food products have been perceived as safer, animal friendly and environmental sustainable. Hence, the awareness of Halal principles, Islamic Brand, moral obligation animal welfare and food safety have been studied in this research in order to investigate the influence of Halal food product purchase intention among non-Muslim consumer using quantitative research method. Food safety has been identified to be the most significant in predicting the purchase intention of Halal food product. Furthermore, future studies are suggested to include additional variables such as habit and self-awareness.

• Journal of the Korean Data and Information Science Society
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• v.17 no.2
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• pp.355-366
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• 2006

Customer Satisfaction (CS) in Auto insurance market is the important factor which makes customer loyalty and retention increase. Recently On-line companies are threatening the existing Off-line companies with taking advantage of the low price through cut-offing the price by internet marketing. Therefore, the CS is becoming an indispensable survival strategy to the Off-line companies. Under these circumstances, this study finds out what the CS factors are in the auto insurance market, and produces levels of CS, customer loyalty and satisfaction Index of each category. The purpose of this study is to suggest the strategic improvement factor for elevating CS level and strategic direction for CS management by CS portfolio analysis based on the survey result.

• Management Science and Financial Engineering
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• v.16 no.3
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• pp.49-70
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• 2010

Customer population management models can be classified into three categories: the first category includes the models that analyze the customer population at cohort level; the second one deals with the customer population at aggregate level; the third one has interest in the interactions among the customer populations in the competitive market. Our study proposes a model that can analyze the dynamics of customer population in consumer-durables market at aggregate level. The dynamics of customer population includes the retention curves from the purchase or at a specific duration time, the duration time expectancy at a specific duration time, and customer population growth or decline including net replacement rate, intrinsic rate of increase, and the generation time of customer population. For this study, we adopt mathematical ecology models, redefine them, and restructure interdisciplinary models to analyze the dynamics of customer population at aggregate level. We use the data of previous research on dynamic customer population management at cohort level to compare its results with those of ours and to demonstrate the useful analytical effects which the precious research cannot provide for marketers.

• Journal of Korea Game Society
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• v.14 no.5
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• pp.137-146
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• 2014

Recently, the games on the market are getting rich and excellent in the category of design and productions. The style and production quality of cut-scenes also have achieved a continuous development, so how to stand out from multiple designs and gain popularity always acts as a challenge to designers. However, such design strategy up to developers will be failed to judge whether or not design achievements are loved by players and thus cannot meet rapidly changing market demands on both in a quantity and quality. Therefore, this study holds that cut-scene design for video games must set out from user-centered design(UCD). According to literatures with respect to product market, we know that Market Pull imposes far more impacts on success in bringing new products to the market than the technology Push, hence players actually determines the success of a game in competitive game market. This study will help to enhance the immersion of playing game, including the interest and standing out the designer's message without distorting the original impression in the game publishing environment.

• Journal of Distribution Science
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• v.17 no.5
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• pp.85-94
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• 2019

Purpose - The purpose of this study is to analyze the impact of customer's communication on sales performance in the online market. Research design, data, and methodology - This study uses linear regression analysis to examine the effects of product review characteristics which are the result of customer's communication, on sales performance by using product reviews of online marketplace Amazon. Result - The increase in the number of product reviews positively affected sales performance. An increase in extreme opinions in the product review has a positive effect on sales performance. The product review length has a negative effect on sales performance. Conclusions - This study has shown the online marketplace customers' communication can influence sales performance using product review big data. This study contributed to the theoretical completeness by analyzing all the products of the book category in Amazon online market. This research will complement the theories regard to the customer behavior affecting sales performance. We expect the empirical analysis result will provide empirical help to sellers, online marketplace operators, and customers. In particular, the number of letters in the product may negatively affect sales performance, so sellers need to consider this effect carefully when exposing product reviews.

• East Asian Journal of Business Economics (EAJBE)
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• v.8 no.3
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• pp.43-56
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• 2020

Purpose - This study was carried out to analyze the influential factors of how consumers methodize purchasing agricultural products via direct market. It further utilizes the Discrete Choice Model to analyze consumer decision specifically with regards to individual markets and store attributes. Research design and methodology - This study will use the multinomial logit model to interpret the influential factors behind selecting a specific market to purchase from. This study establishes 'online direct-purchase' as the base category with 'direct farm markets', 'local foods direct markets', 'produce boxes (CSA)' as substitutes. Results - Firstly, the variety of products, price and freshness had a positive influence on choosing 'direct farm markets' while convenience of payment and transportation had a negative influence. Second, freshness and store attributes had a positive influence on choosing 'local foods direct markets' but product price and packaging, location accessibility had a negative influence. And although product creditability had a positive influence on purchasing 'produce boxes (CSA)', product price had a negative influence. Conclusions - Accordingly, there is a need for the South Korean government to encourage the adoption of mobile payment through smartphone applications in direct farm markets to vitalize direct agricultural purchasing. However, this does need to be approached cautiously as price has a conflicting affect for each method of purchase.

• Journal of Information Technology Services
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• v.18 no.1
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• pp.27-44
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• 2019

The goal of this study is to find why the consumers are reacting slowly or negatively toward smartwatches. Even though, smartwatches provide useful information such as health care and text message, the market was not growing fast as expected, and seems to be stagnant at this point. Thus, the future market predictions are varied. To find out why this may have happened, a Q-method study using non-adopters was conducted. In order to find out depth explanations from each interviewers, the research team chose the Q method and Q sorting to classify the different reasons for non-adopters. Based on the interview, all participants were clustered with into groups with similar patterns of the answers. The research team classified the interview group to three categories 1) Technology Discontent 2) Service Discontent 3) Indifferent. The research team analyzed each category reasoning and logics. Also the team compared the result to the technology chasm as it was proposed by Rogers (1969) to measure the maturity of the consumers.