• Title/Summary/Keyword: Media Management

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An Analysis of the Internal Marketing Impact on the Market Capitalization Fluctuation Rate based on the Online Company Reviews from Jobplanet (직원을 위한 내부마케팅이 기업의 시가 총액 변동률에 미치는 영향 분석: 잡플래닛 기업 리뷰를 중심으로)

  • Kichul Choi;Sang-Yong Tom Lee
    • Information Systems Review
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    • v.20 no.2
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    • pp.39-62
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    • 2018
  • Thanks to the growth of computing power and the recent development of data analytics, researchers have started to work on the data produced by users through the Internet or social media. This study is in line with these recent research trends and attempts to adopt data analytical techniques. We focus on the impact of "internal marketing" factors on firm performance, which is typically studied through survey methodologies. We looked into the job review platform Jobplanet (www.jobplanet.co.kr), which is a website where employees and former employees anonymously review companies and their management. With web crawling processes, we collected over 40K data points and performed morphological analysis to classify employees' reviews for internal marketing data. We then implemented econometric analysis to see the relationship between internal marketing and market capitalization. Contrary to the findings of extant survey studies, internal marketing is positively related to a firm's market capitalization only within a limited area. In most of the areas, the relationships are negative. Particularly, female-friendly environment and human resource development (HRD) are the areas exhibiting positive relations with market capitalization in the manufacturing industry. In the service industry, most of the areas, such as employ welfare and work-life balance, are negatively related with market capitalization. When firm size is small (or the history is short), female-friendly environment positively affect firm performance. On the contrary, when firm size is big (or the history is long), most of the internal marketing factors are either negative or insignificant. We explain the theoretical contributions and managerial implications with these results.

The Impacts of Need for Cognitive Closure, Psychological Wellbeing, and Social Factors on Impulse Purchasing (인지폐합수요(认知闭合需要), 심리건강화사회인소대충동구매적영향(心理健康和社会因素对冲动购买的影响))

  • Lee, Myong-Han;Schellhase, Ralf;Koo, Dong-Mo;Lee, Mi-Jeong
    • Journal of Global Scholars of Marketing Science
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    • v.19 no.4
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    • pp.44-56
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    • 2009
  • Impulse purchasing is defined as an immediate purchase with no pre-shopping intentions. Previous studies of impulse buying have focused primarily on factors linked to marketing mix variables, situational factors, and consumer demographics and traits. In previous studies, marketing mix variables such as product category, product type, and atmospheric factors including advertising, coupons, sales events, promotional stimuli at the point of sale, and media format have been used to evaluate product information. Some authors have also focused on situational factors surrounding the consumer. Factors such as the availability of credit card usage, time available, transportability of the products, and the presence and number of shopping companions were found to have a positive impact on impulse buying and/or impulse tendency. Research has also been conducted to evaluate the effects of individual characteristics such as the age, gender, and educational level of the consumer, as well as perceived crowding, stimulation, and the need for touch, on impulse purchasing. In summary, previous studies have found that all products can be purchased impulsively (Vohs and Faber, 2007), that situational factors affect and/or at least facilitate impulse purchasing behavior, and that various individual traits are closely linked to impulse buying. The recent introduction of new distribution channels such as home shopping channels, discount stores, and Internet stores that are open 24 hours a day increases the probability of impulse purchasing. However, previous literature has focused predominantly on situational and marketing variables and thus studies that consider critical consumer characteristics are still lacking. To fill this gap in the literature, the present study builds on this third tradition of research and focuses on individual trait variables, which have rarely been studied. More specifically, the current study investigates whether impulse buying tendency has a positive impact on impulse buying behavior, and evaluates how consumer characteristics such as the need for cognitive closure (NFCC), psychological wellbeing, and susceptibility to interpersonal influences affect the tendency of consumers towards impulse buying. The survey results reveal that while consumer affective impulsivity has a strong positive impact on impulse buying behavior, cognitive impulsivity has no impact on impulse buying behavior. Furthermore, affective impulse buying tendency is driven by sub-components of NFCC such as decisiveness and discomfort with ambiguity, psychological wellbeing constructs such as environmental control and purpose in life, and by normative and informational influences. In addition, cognitive impulse tendency is driven by sub-components of NFCC such as decisiveness, discomfort with ambiguity, and close-mindedness, and the psychological wellbeing constructs of environmental control, as well as normative and informational influences. The present study has significant theoretical implications. First, affective impulsivity has a strong impact on impulse purchase behavior. Previous studies based on affectivity and flow theories proposed that low to moderate levels of impulsivity are driven by reduced self-control or a failure of self-regulatory mechanisms. The present study confirms the above proposition. Second, the present study also contributes to the literature by confirming that impulse buying tendency can be viewed as a two-dimensional concept with both affective and cognitive dimensions, and illustrates that impulse purchase behavior is explained mainly by affective impulsivity, not by cognitive impulsivity. Third, the current study accommodates new constructs such as psychological wellbeing and NFCC as potential influencing factors in the research model, thereby contributing to the existing literature. Fourth, by incorporating multi-dimensional concepts such as psychological wellbeing and NFCC, more diverse aspects of consumer information processing can be evaluated. Fifth, the current study also extends the existing literature by confirming the two competing routes of normative and informational influences. Normative influence occurs when individuals conform to the expectations of others or to enhance his/her self-image. Whereas informational influence occurs when individuals search for information from knowledgeable others or making inferences based upon observations of the behavior of others. The present study shows that these two competing routes of social influence can be attributed to different sources of influence power. The current study also has many practical implications. First, it suggests that people with affective impulsivity may be primary targets to whom companies should pay closer attention. Cultivating a more amenable and mood-elevating shopping environment will appeal to this segment. Second, the present results demonstrate that NFCC is closely related to the cognitive dimension of impulsivity. These people are driven by careless thoughts, not by feelings or excitement. Rational advertising at the point of purchase will attract these customers. Third, people susceptible to normative influences are another potential target market. Retailers and manufacturers could appeal to this segment by advertising their products and/or services as products that can be used to identify with or conform to the expectations of others in the aspiration group. However, retailers should avoid targeting people susceptible to informational influences as a segment market. These people are engaged in an extensive information search relevant to their purchase, and therefore more elaborate, long-term rational advertising messages, which can be internalized into these consumers' thought processes, will appeal to this segment. The current findings should be interpreted with caution for several reasons. The study used a small convenience sample, and only investigated behavior in two dimensions. Accordingly, future studies should incorporate a sample with more diverse characteristics and measure different aspects of behavior. Future studies should also investigate personality traits closely related to affectivity theories. Trait variables such as sensory curiosity, interpersonal curiosity, and atmospheric responsiveness are interesting areas for future investigation.

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Application of Support Vector Regression for Improving the Performance of the Emotion Prediction Model (감정예측모형의 성과개선을 위한 Support Vector Regression 응용)

  • Kim, Seongjin;Ryoo, Eunchung;Jung, Min Kyu;Kim, Jae Kyeong;Ahn, Hyunchul
    • Journal of Intelligence and Information Systems
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    • v.18 no.3
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    • pp.185-202
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    • 2012
  • .Since the value of information has been realized in the information society, the usage and collection of information has become important. A facial expression that contains thousands of information as an artistic painting can be described in thousands of words. Followed by the idea, there has recently been a number of attempts to provide customers and companies with an intelligent service, which enables the perception of human emotions through one's facial expressions. For example, MIT Media Lab, the leading organization in this research area, has developed the human emotion prediction model, and has applied their studies to the commercial business. In the academic area, a number of the conventional methods such as Multiple Regression Analysis (MRA) or Artificial Neural Networks (ANN) have been applied to predict human emotion in prior studies. However, MRA is generally criticized because of its low prediction accuracy. This is inevitable since MRA can only explain the linear relationship between the dependent variables and the independent variable. To mitigate the limitations of MRA, some studies like Jung and Kim (2012) have used ANN as the alternative, and they reported that ANN generated more accurate prediction than the statistical methods like MRA. However, it has also been criticized due to over fitting and the difficulty of the network design (e.g. setting the number of the layers and the number of the nodes in the hidden layers). Under this background, we propose a novel model using Support Vector Regression (SVR) in order to increase the prediction accuracy. SVR is an extensive version of Support Vector Machine (SVM) designated to solve the regression problems. The model produced by SVR only depends on a subset of the training data, because the cost function for building the model ignores any training data that is close (within a threshold ${\varepsilon}$) to the model prediction. Using SVR, we tried to build a model that can measure the level of arousal and valence from the facial features. To validate the usefulness of the proposed model, we collected the data of facial reactions when providing appropriate visual stimulating contents, and extracted the features from the data. Next, the steps of the preprocessing were taken to choose statistically significant variables. In total, 297 cases were used for the experiment. As the comparative models, we also applied MRA and ANN to the same data set. For SVR, we adopted '${\varepsilon}$-insensitive loss function', and 'grid search' technique to find the optimal values of the parameters like C, d, ${\sigma}^2$, and ${\varepsilon}$. In the case of ANN, we adopted a standard three-layer backpropagation network, which has a single hidden layer. The learning rate and momentum rate of ANN were set to 10%, and we used sigmoid function as the transfer function of hidden and output nodes. We performed the experiments repeatedly by varying the number of nodes in the hidden layer to n/2, n, 3n/2, and 2n, where n is the number of the input variables. The stopping condition for ANN was set to 50,000 learning events. And, we used MAE (Mean Absolute Error) as the measure for performance comparison. From the experiment, we found that SVR achieved the highest prediction accuracy for the hold-out data set compared to MRA and ANN. Regardless of the target variables (the level of arousal, or the level of positive / negative valence), SVR showed the best performance for the hold-out data set. ANN also outperformed MRA, however, it showed the considerably lower prediction accuracy than SVR for both target variables. The findings of our research are expected to be useful to the researchers or practitioners who are willing to build the models for recognizing human emotions.

The Effect of Expert Reviews on Consumer Product Evaluations: A Text Mining Approach (전문가 제품 후기가 소비자 제품 평가에 미치는 영향: 텍스트마이닝 분석을 중심으로)

  • Kang, Taeyoung;Park, Do-Hyung
    • Journal of Intelligence and Information Systems
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    • v.22 no.1
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    • pp.63-82
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    • 2016
  • Individuals gather information online to resolve problems in their daily lives and make various decisions about the purchase of products or services. With the revolutionary development of information technology, Web 2.0 has allowed more people to easily generate and use online reviews such that the volume of information is rapidly increasing, and the usefulness and significance of analyzing the unstructured data have also increased. This paper presents an analysis on the lexical features of expert product reviews to determine their influence on consumers' purchasing decisions. The focus was on how unstructured data can be organized and used in diverse contexts through text mining. In addition, diverse lexical features of expert reviews of contents provided by a third-party review site were extracted and defined. Expert reviews are defined as evaluations by people who have expert knowledge about specific products or services in newspapers or magazines; this type of review is also called a critic review. Consumers who purchased products before the widespread use of the Internet were able to access expert reviews through newspapers or magazines; thus, they were not able to access many of them. Recently, however, major media also now provide online services so that people can more easily and affordably access expert reviews compared to the past. The reason why diverse reviews from experts in several fields are important is that there is an information asymmetry where some information is not shared among consumers and sellers. The information asymmetry can be resolved with information provided by third parties with expertise to consumers. Then, consumers can read expert reviews and make purchasing decisions by considering the abundant information on products or services. Therefore, expert reviews play an important role in consumers' purchasing decisions and the performance of companies across diverse industries. If the influence of qualitative data such as reviews or assessment after the purchase of products can be separately identified from the quantitative data resources, such as the actual quality of products or price, it is possible to identify which aspects of product reviews hamper or promote product sales. Previous studies have focused on the characteristics of the experts themselves, such as the expertise and credibility of sources regarding expert reviews; however, these studies did not suggest the influence of the linguistic features of experts' product reviews on consumers' overall evaluation. However, this study focused on experts' recommendations and evaluations to reveal the lexical features of expert reviews and whether such features influence consumers' overall evaluations and purchasing decisions. Real expert product reviews were analyzed based on the suggested methodology, and five lexical features of expert reviews were ultimately determined. Specifically, the "review depth" (i.e., degree of detail of the expert's product analysis), and "lack of assurance" (i.e., degree of confidence that the expert has in the evaluation) have statistically significant effects on consumers' product evaluations. In contrast, the "positive polarity" (i.e., the degree of positivity of an expert's evaluations) has an insignificant effect, while the "negative polarity" (i.e., the degree of negativity of an expert's evaluations) has a significant negative effect on consumers' product evaluations. Finally, the "social orientation" (i.e., the degree of how many social expressions experts include in their reviews) does not have a significant effect on consumers' product evaluations. In summary, the lexical properties of the product reviews were defined according to each relevant factor. Then, the influence of each linguistic factor of expert reviews on the consumers' final evaluations was tested. In addition, a test was performed on whether each linguistic factor influencing consumers' product evaluations differs depending on the lexical features. The results of these analyses should provide guidelines on how individuals process massive volumes of unstructured data depending on lexical features in various contexts and how companies can use this mechanism from their perspective. This paper provides several theoretical and practical contributions, such as the proposal of a new methodology and its application to real data.

A Study on Detection Methodology for Influential Areas in Social Network using Spatial Statistical Analysis Methods (공간통계분석기법을 이용한 소셜 네트워크 유력지역 탐색기법 연구)

  • Lee, Young Min;Park, Woo Jin;Yu, Ki Yun
    • Journal of Korean Society for Geospatial Information Science
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    • v.22 no.4
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    • pp.21-30
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    • 2014
  • Lately, new influentials have secured a large number of volunteers on social networks due to vitalization of various social media. There has been considerable research on these influential people in social networks but the research has limitations on location information of Location Based Social Network Service(LBSNS). Therefore, the purpose of this study is to propose a spatial detection methodology and application plan for influentials who make comments about diverse social and cultural issues in LBSNS using spatial statistical analysis methods. Twitter was used to collect analysis object data and 168,040 Twitter messages were collected in Seoul over a month-long period. In addition, 'politics,' 'economy,' and 'IT' were set as categories and hot issue keywords as given categories. Therefore, it was possible to come up with an exposure index for searching influentials in respect to hot issue keywords, and exposure index by administrative units of Seoul was calculated through a spatial joint operation. Moreover, an influential index that considers the spatial dependence of the exposure index was drawn to extract information on the influential areas at the top 5% of the influential index and analyze the spatial distribution characteristics and spatial correlation. The experimental results demonstrated that spatial correlation coefficient was relatively high at more than 0.3 in same categories, and correlation coefficient between politics category and economy category was also more than 0.3. On the other hand, correlation coefficient between politics category and IT category was very low at 0.18, and between economy category and IT category was also very weak at 0.15. This study has a significance for materialization of influentials from spatial information perspective, and can be usefully utilized in the field of gCRM in the future.

The Child Sexual Assaults by Kin -The Experience of YoungNam District Sunflower Center for Prevention of Child Sexual Assaults- (친족에 의한 아동 성폭력 실태 - 영남권역 해바라기 아동센터의 경험 -)

  • Seo, Sun-Ki;Lee, Sang-Han
    • Journal of forensic and investigative science
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    • v.2 no.2
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    • pp.21-29
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    • 2007
  • News from the media on sexual assaults to children committed by natural fathers doesn't attract social attention any more. The number of crimes related to Child Sexual Assault(CSA) is increasing every year in spite of the "Special Act on Prevention of Sexual Assault in Korea". The YoungNam District Sunflower Center for prevention of Child Sexual Assaults(SC-CSA) was established in Daegu, June 2005. The YoungNam District SC-CSA provides forensic evaluation of physical evidence, medical and psychological treatment for the victims less than 13 years of sexual assaults simultaneously. This study carried out 36 cases of CSA by kin reported to YoungNam District SC-CSA, among 180 cases in total until December 2006 since its opening. Most of the victims were girls (32 cases). 28 cases (78%) were indecent assaults (78%) and 8 cases (22%) were rapes. The assailants were overwhelmingly males (35 cases). The assailants of 21 cases (58.3%) were identified as the victims' natural fathers. The incident locations were victim's residence (31 cases, 86.1%) and the victims had been sexually assaulted regularly for many years (25 cases, 69.4%). Considering the above research, we can conclude that CSA committed by kin has specific characteristics. CSA is not a one-time incident, but consistently occurring crime. However, in 22 cases (61.1%), the victim's guardian didn't want to report about it or punish the assailants. As the assailants were natural fathers or relatives of the victims, the other family members probably thought it might be shameful to reveal their wrong doings and would lead to defamation of their family's reputation. The SC-CSA provides the counseling and medical treatment to the victims with the consent of the parents. Due to the guardians' misjudgment, the incident is sometimes not reported to the police. By not reporting the incident to the police, the assailant freely commits other crimes, which multiplies victims. The legal Act of supporting the management of the SC-CSA is still not regulated, so the stability of the SC-CSA is not guaranteed, yet. Even though it is obligatory to report incidents to the police, some cases are still not reported. Currently, there are three SC-CSA centers : in Seoul, in Daegu, and in Gwangju. More centers need to be established to diminish CSA cases in Korea.

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A Study Of Design With Application On Of Gem Cutting Technique (보석 컷팅디자인을 활용한 보석산업활성화에 관한 연구)

  • Jang, Myeong Soo;Park, Seungchul
    • Journal of Digital Convergence
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    • v.10 no.10
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    • pp.483-490
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    • 2012
  • In parallel with advancement of the industrial society and accompanied quality-of-life improvement, jewelry is now rather viewed as one of common accessories used in daily life, than as a luxurious item as treated before change of perception about it in the past, attracting thus gradually multiplying demand for it. Thanks to rapid spread of multi media like the Internet, an increasing number of people have come to develop great liking for exceptional design and unique format of jewelry products. Following drain of their reserves, natural gems are unlikely to meet the demand for them fully in the future. As a consequence, it seems essential to rely on synthetic, artificial, imitation jewelry or organic substances and quasi-mineral in amorphous structure for substitute jewelry. Since synthetic jewelry has such a great potential as substitute jewelry, it is expected to maximize added value to jewelry if and when accompanied with development of creative design and upgrading of processing technology for jewelry, in addition to various types of synthetic jewelry and glass that have been already put in use as substitute substances. Synthetic jewelry is thus believed to be able to greatly contribute to progress of the jewelry industry. In many countries of the world, jewelry and gem industry has been regarded as one of promising sectors vital in enriching the national wealth. In this context, the Korean Ministry of Finance and Economy announced in July 2007 "an activating policy for the jewelry and gem industry, declaring to cultivate and grow it to be new engine for the nation's growth". The present paper thus aims to conduct a study exclusively on cutting design of synthetic jewelry as a part of measures to activate the jewelry industry in Korea. Efforts are made to develop designs for jewelry that are unique and different from the conventional stereotyped form of polishing and are added with color, pattern and fashionable cutting. Priority is given in this regard to designing jewelry that may attract general public and may be shared by public beyond the limit of conventional design for jewelry and producing products that stand in contrast with other products. By upgrading the quality of jewelry design, competitiveness of the jewelry industry may be ensured and the creative area of jewelry design may be expanded by far.

Public Perception on Non-native Species: Based on the News Articles about the Alligator Snapping Turtle (Macrochelys temminckii) (외래생물에 대한 대중의 문제 인식: 악어거북 뉴스 기사를 바탕으로)

  • Kim, Hyunjung;Park, Seoung-Min;Jang, Yikweon;Koo, Kyo Soung
    • Korean Journal of Environment and Ecology
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    • v.34 no.5
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    • pp.396-401
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    • 2020
  • As the world becomes more globalized, the non-native species issue has emerged as a problem that is growing internationally. In particular, the number of non-native turtles found in the wild has been increasing sharply in South Korea. At least 15 species of non-native turtles, including the red-eared slider (Trachemys scripta elegans) first imported in the 1970s, have been found in Korea. On October 15, 2019, an alligator snapping turtle (AST, Macrochelys temminckii) was found in a stream located in Gwangju city, South Korea. The discovery of AST became a big issue in South Korea as the animal is known for its large body size and aggressiveness and was featured widely in the mass media. In this study, to learn the public's perception of non-native species, we examined comments (opinions) to the online news articles about the AST. We collected 1,100 comments from the Internet news articles on the AST. Out of the 1,100 comments, 342 (31.1%) comments were related to non-native species' issues. Most of the respondents (97.7%, n=334) stated that the non-native species are a problem. Forty two comments mentioned potential threats posed by non-native species: non-native species' aggressive nature (n=11, 26.2%) and ecological disturbance (n=31, 73.8%). Lack of responsibility (n=122, 51.7%) was the major causative factor for the introduction of non-native species, and followed by indiscriminate pet trade (n=99, 42.0%), absence of relevant legislation (n=13, 5.5%), and absence of treatment (n=2, 0.8%). Animal registration (n=59, 45.7%) was the most commonly mentioned as the way to deal with the issue of the non-native species' invasion. Our results show that the public is aware of the seriousness of the invasion of non-native species, including AST. This study highlights that researchers and government officials need to consider the public's perception and opinions. We believe that our study can serve as an essential reference for the policy direction and the management of non-native species.

An Analysis of Socio-Economic Factors Associated with Private Forest Owners' Knowledge of Forestry Practice (사유림소유자(私有林所有者)의 임업지식수준(林業知識水準)에 영향(影響)을 미치는 사회경제적(社會經濟的) 제요인(諸要因)의 분석(分析))

  • Cho, Eung Hyouk;Koo, Sam Hoe
    • Journal of Korean Society of Forest Science
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    • v.66 no.1
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    • pp.37-44
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    • 1984
  • The study was carried out to investigate the relationship of certain socio-economic factors to the private owner's knowledge of forestry practices. The dependent variable was knowledge level in forestry, and the six independent variables were owner's age, educational level, forestland area, socio-economic status, communication and socio-psychological factors. For the study the data were collected by interviewing 258 private forest owners, and analized primarily by multiple correlation statistical technique. The sampled private owners were grouped into two categories: the common owners and model owners. 1) The average score of forestry knowledge of common owners was lower than that of model owners, and the difference was about 15 scores. The scores of other independent variables such as age, educational level, forestland area, socio-economic status, communication and socio-psychological factors of common owners were also significantly lower than those of model owners. 2) The common owner's knowledge of forestry practice were positively correlated with educational level, socio-psychological and communication variables. On the other hand, the model owner's were negatively correlated with the educational level, but positively with the socio-economic status and the socio-psychological variables. 3) The multiple correlation coefficient between the common owner's knowledge scores and six independent variables was 0.5667. About 31.46 percent of the variance of this knowledge could be explained by the communication variable, and other 1.42 percent by the socio-psychological factor. In the case of model owners, the multiple correlation was 0.5332, and about 16.62 percent of the variance of the knowledge could be explained by the communication variable, and ls.y percent by the socio-psychological factor. 4) The opportunity of communication contact through the mass media, personal communication and owner's social participation should be augmented for the effective forestry extension works, because it is one of the results of the study that the private forest owner's knowledge in forestry was greatly affected by communication variable.

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Improvement in Chicken Meat Pricing System in Korea (한국의 닭고기 가격 결정 시스템 개선)

  • Kim, J.J.;Park, B.K.
    • Korean Journal of Poultry Science
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    • v.35 no.4
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    • pp.327-333
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    • 2009
  • In Korea chicken meat price is not determined in the auction markets, but it is artificially calculated using the live chicken price of one day before, transporting cost, converting rate of live chicken into carcass, and slaughtering cost. This calculated price is published through the mass media and used as the base for chicken meat transaction. By the way, since 85% of the Korean broiler industry is composed by the integrated system, the live chicken price is nothing to do with ex-factory price of chicken meat produced by the integrators. Under this pricing system, when we estimate the margin of the chicken meat through the marketing process, the margin of the integrator is fluctuated by the live chicken price of one day before, which is nothing to do with integrators; When the live chicken price is low, the margin of the integrators is low, but the margin of the selling agencies' is relatively high. On the contrast, when the live chicken price is high, the margin of the integrators is high, but the selling agencies' margin will be relatively low, because consumer's price could not be increased in parallel with increase of the live chicken price. Accordingly, the ex-factory price of chicken meat determined using the production cost of live chicken and slaughtering cost of the integrator by adding resonable margin of the integrator should be determined and published, so that it could be used for chicken meat transaction. In Japan the Zen-Noh Chicken Foods Corporation announce the ideal piece of chicken every morning, and all the transactions of the chicken meat will be determined based on this price. In Korea, it will be desirable to make bench marking from Japanese case, in other words the NH could announce the ideal price of chicken meat every morning, so that it would be the base price of chicken meat transaction. Even though the market share of the NH is less than 5%, its publicity should be accepted, since it is a subsidiary of the National Agricultural Cooperative Federation of Korea.