• The Research Journal of the Costume Culture
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• v.31 no.4
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• pp.430-451
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• 2023

This study examines the effect of cosmetic certification marks on consumer behavior. The underlying objectives of this study are threefold. First, it explores whether the certification mark inserted into the cosmetic package-such as marks denoting quality assurances, ethical practices (specifically, pertaining to animal testing), and recycling packaging-affects consumer responses. Second, it investigates whether a higher number of certification marks leads to heightened positive consumer responses. Third, it analyzes the potential moderating effect of consumers' certification mark knowledge on the relationship between certification marks and consumer responses. In the pretest, certification marks with higher recognition were selected as stimuli, and a survey involving a total of 550 male and female consumers was conducted. The collected data were analyzed through ANOVA and post-hoc tests. The findings of this study confirm a significant difference in consumer responses to products based on the certification marks inserted in the cosmetic packaging. Compared to clusters without a certification mark, groups with two or more certifications (recycling certification + ethics certification, recycling certification + quality certification, recycling certification + ethics certification + quality certification) exhibit significant consumer responses. Second, more certification marks did not result in an increase in positive consumer responses. Third, a moderating effect of consumers' cosmetic certification knowledge on the certification mark-consumer response relationship was not found. The findings of this study have implications for developing product promotion strategies that leverage cosmetic certification marks as a marketing tool.

• Asia Marketing Journal
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• v.17 no.1
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• pp.123-148
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• 2015

Built on regulatory focus theory, this article develops a research model proposing the relationship between management controls (outcome, activity and capability), sales employees' prevention and promotion focus and their behavioral responses (feedback seeking from different sources and relationship investment). The model also suggests that salesperson perceived organizational fit (P-O fit) contributes by influencing the situational self-regulatory mechanism based on regulatory fit theory. To analyze the data, a structural equation model procedure using LISREL 8.5 was employed. To access the potential common method bias, the MV" marker method was applied using a scale theoretically unrelated to at least one scale in the analysis as the MV marker. The results showed that the greater the salesperson's perceived activity control system, the greater the extent of employee prevention focus. The findings also showed that output control and capability control system are positively related to the promotion focus of salespeople. Salespeople's prevention focus relates negatively to the relational investment and positively to organization feedback seeking. The results indicate that salespeople who have promotion focus exhibit the predicted positive influence on their relationship investment. A significant contribution of this research framework is suggesting salesperson regulatory focus as a mediator and its' effects on different types of sales-related behaviors. The author suggests that the motivational orientations of salespeople play key roles in shaping feedback seeking behaviors from different sources; broadly, that employees with a promotion focus will be more sensitive to customers' feedback, and employees with a prevention focus will seek more feedback from the organization. Furthermore, salespeople with a promotion focus will invest more resources to build relationships with customers than salespeople with a prevention focus. This research also explains the moderating role of person-organization fit on the effect of salespeople's regulatory focus and behavioral responses based on regulatory fit theory

• Asia Marketing Journal
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• v.18 no.2
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• pp.63-93
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• 2016

As one of the most popular forms of electronic commerce, cross-border e-commerce provides numerous consumer benefits, such as broad and deep product assortments at low prices. However, consumers tend to exhibit high involvement in cross-border e-commerce purchases due to high risks associated with such purchases. The paper focuses on identifying causal relationships between e-commerce website traits (i.e., website trustworthiness, interactivity and convenience) and consumer satisfaction and along with loyalty. We proposed a reflective-reflective hierarchical model (first-order reflective and second-order reflective model) and used the Partial Least Square Analysis Statistical method to test the hypotheses. The results demonstrated that website trustworthiness, convenience and interactivity were all positively related to consumer satisfaction. Also, higher satisfaction led to stronger customer loyalty, which may well increase revisit intentions. We also compared the strength of each path from a website trait to satisfaction. Results illustrated that the path from website convenience to satisfaction is the strongest among the three website traits. In addition, we separately examined differences within Korean group and Chinese group. No statistically significant difference among website traits was found within Korean group. However, within Chinese group, we found that website convenience is the most important predictor of satisfaction. This indicates that Chinese consumers are more concerned about the website convenience than interactivity and trustworthiness when they make cross-border e-commerce purchases. Moreover, this study investigated possible differences between Korean and Chinese group. We used multi-group analysis of Smart PLS 3.0 to test the results. It was shown that the two groups do not display statistically significant difference in trustworthiness, interactivity, or convenience in influencing customer satisfaction. Finally, we presented further implications which are useful for understanding of the proposed model. Limitations and improvements of this research were presented, too.

• Journal of Information Technology Services
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• v.15 no.2
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• pp.203-217
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• 2016

This paper explores the distribution of the retail coffee franchise stores in Seoul using geostatistical analyses. The fact that lots of coffee stores are concentrated in the central area-Jongno and Jung-gu and commercial area-Gangnam and Seocho shows that the size of the floating population and potential customers is one of main drivers for making decisions on the locations of new stores. Except these 4 districts, the number of stores and population exhibit a positive correlation. By extracting the information on the 6 large coffee franchises store locations, we calculate the both haversine distances between stores of the same franchise and between stores of different franchises. We then empirically test the sitting and marketing strategies of Starbucks, Ediya, and Paik-Dabang using distance distributions. Significant pairs of Starbucks stores located within 100m confirm the sitting strategy of Starbucks which opens additional stores at crossways, stations, near shopping malls or other business zones though there already exist Starbucks stores. Meanwhile considerable portion of Ediya stores are found near Starbucks stores, which coincides with the sitting strategy of Ediya. We also find that Paik-Dabang that uses the low cost strategy has its stores open relatively farther than other franchises from Starbucks stores.

• Asian-Australasian Journal of Animal Sciences
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• v.21 no.11
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• pp.1680-1688
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• 2008

Development of village chicken production can be a sustainable way of helping to meet the welfare needs of rural populations and raise their living standards. There is a dearth of information on research conducted to characterize, understand and develop the village chicken production systems in Zimbabwe. This review focuses on constraints, opportunities and research needs for the improvement of village chicken productivity in Zimbabwe. Village chicken production in Zimbabwe is extensive and dominated by indigenous chickens that exhibit remarkable adaptation to local environments. The multitude functions of village chickens, which include the provision of high quality protein meat and eggs, cash through sales and socio-cultural roles, are discussed in detail. Human gender aspects in village chicken production are highlighted. The factors that hamper village chicken productivity are reviewed together with opportunities and research needs. The major constraints include shortage of feed, poor health and housing management. Any improvements in these constraints may lead to sustainable increase in village chicken productivity.

• Journal of Information Technology Services
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• v.7 no.4
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• pp.1-19
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• 2008

This study began with the proposition that, compared to the impulse buying in the conventional offline market, consumers will exhibit a different process of decision-making for impulse buying on the Internet as it has become easier to acquire information and purchase goods which are offered online like digital contents goods. To verify this roposition, this study attempted to find out the external and internal factors as that affect the impulse buying behavior by incorporating Theory of Planned Behavior In addition, this study seeks to confirm the role of alternative's attractiveness in terms of mediating between internal and internal factors affecting impulse buying. The major purpose of this study was to understand Impulse Buying Intention(IBI) for digital contents on the internet. The results of the this study showed that the behavior of impulse buying can be explained with the information searching in which the external factors for the marketing of digital contents affect the internal stimulation factors. It was also found that the impulse buying of digital contents on the Internet starts with non-planned impulse at the problem recognition stage, but planned decision-making will take over when it is proven to be effective with information searching.

• Journal of Agricultural Extension & Community Development
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• v.28 no.2
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• pp.85-98
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• 2021

This study aims to examine consumer types based on pet food selection attributes and to analyze the differences in consumer characteristics by those types. In this study, the researcher uses k-means cluster analysis and crossover analysis to determine market segmention, and then analyzes the resultant characteristics by categorizing consumers. A total of 202 cases are used for this study. First, the selection attributes are classified into the six factors of credibility, quality, design, convenience, information, and price. Second, the clusters are categorized into the four clusters, which are designated pet food lower-involvement type, pet food information- and price-seeking type, pet food convenience-seeking type, and pet food higher-involvement type. Third, these four groups exhibit statistically significant differences in terms of occupational variables, number of pets, and purchase frequency. The results of this study may provide helpful information in establishing customized, market-based marketing strategies based on the characteristics of pet food consumers.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.685-695
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• 2021

This study explores the impact of stochastic volatility in option pricing. To be more specific, we compare the option pricing performance between stochastic volatility option pricing model, namely, Heston option pricing model and standard Black-Scholes option pricing. Our finding, based on the market price of SET50 index option between May 2011 and September 2020, demonstrates stochastic volatility of underlying asset return for all level of moneyness. We find that both deep in the money and deep out of the money option exhibit higher volatility comparing with out of the money, at the money, and in the money option. Hence, our finding confirms the existence of volatility smile in Thai option markets. Further, based on calibration technique, the Heston option pricing model generates smaller pricing error for all level of moneyness and time to expiration than standard Black-Scholes option pricing model, though both Heston and Black-Scholes generate large pricing error for deep-in-the-money option and option that is far from expiration. Moreover, Heston option pricing model demonstrates a better pricing accuracy for call option than put option for all level and time to expiration. In sum, our finding supports the outperformance of the Heston option pricing model over standard Black-Scholes option pricing model.

• Journal of Fashion Business
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• v.25 no.1
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• pp.65-79
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• 2021

Apparel fairs are business platforms specializing in selling fashion products. As the largest apparel fair in the United States and with the highest number of animated buyers in the entire world, the Las Vegas Magic Show utilizes this distribution platform to the greatest extent by sustaining over 90,000 buyers annually. In accordance, the exhibiting companies also participate in commercial functions by striving to promote brand awareness to consumers as they carefully plan to increase actual sales and secure new customers. Domestically, numerous organizations such as the Trade Promotion Administration, the Korean Apparel Association, and KOTRA(Korea Trade-Investment Promotion Agency) present similar international apparel fairs to strongly encourage domestic companies to exhibit at international apparel fairs. However, many companies fail to succeed in achieving actual results, which frequently causes them to attend the shows for the short term only. This may occur due to the lack of research on apparel order-writing exhibitions by academia and proactive workers. This research study was based on the careful observation and analysis of the three most recent years of Magic exhibitor attendees' operations and changes to accomplish the final objective of presenting a basic guideline to attend an international apparel exhibition.

• Asia pacific journal of information systems
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• v.31 no.4
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• pp.606-632
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• 2021

With many consumers being exposed to news via social media platforms, news organizations are challenged to attract visitors and generate revenue during visits to their websites. They therefore need detailed information on how to write articles and headlines to increase visitors' engagement with the content to drive advertising revenues. For those news organizations whose business model depends mainly on advertisements, rather than subscriptions, it is particularly crucial to understand what makes the website attractive to their visitors, what drives users to stay on the website, and what factors affect a user's exit decision. The current research examines individual news consumers' choices to find patterns of increase or decrease in user engagement relative to a variety of topics, as well as to the mood or tone of the content. Using clickstream data from a major news organization, the authors develop a user-level dynamic model of clickstream behavior that takes into account the content of both headlines and stories that visitors read. The authors find that readers appear to exhibit state dependence in the tone of the articles that they read. They also show how the topics expressed in headlines can affect the amount of content readers consume when visiting the news organization to a much larger degree than the topics expressed in the content of the article. Online publishers can make use of such findings to present visitors with content that is likely to maintain and/or increase their engagement and consequently drive advertising revenue.