• The Journal of Information Systems
• /
• v.30 no.2
• /
• pp.189-214
• /
• 2021

Purpose This paper aims to effectively utilize user-generated content (UGC) and analyze the market structure of a relatively new market which lacks rich user review information. Specifically, we propose a domain-specific text mining tool for the domestic craft beer market and visualize the market structure by incorporating how individual beer products are positioned in the perceptual map of consumers. Design/methodology/approach We collect user review information from Naver blogs, and extract words that describe beers. We identify semantic relationships between beer products through text mining, and then depending on these semantic relationships, construct a graph representing the market structure of the domestic craft beer market based on the consumer's perceptual map. Findings First, beer products produced in the same brewery are perceived as very similar to consumers. Second, only two products, 'Heukdang Milky Stout' and 'Gompyo', was noticeably distinguishable from other products. Third, even though 'Gyeongbokgung' is from a different brewery, it is located very close to the products of 'Jeju Beer' brewery such as 'Jeju Baeknokdam Ale' and 'Seongsan Ilchulbong Ale', which suggests the influence of 'landmark series.' We successfully show that our methodology effectively describes the market structure of the craft beer market.

• The Journal of Society for e-Business Studies
• /
• v.6 no.3
• /
• pp.41-61
• /
• 2001

Many markets are forecast to see significant changes due to the growth of electronic commerce made possible by the internet. The way of doing business with internet affects the market mechanism. It is now over 10 years since Malone et al(1987) set out their hypothesis on electronic markets, and electronic hierarchies. An electronic market is an interorganizational information system through which multiple buyers and sellers interact to accomplish one or more of the following market-making activities. And they predicted that markets evolve toward electronic markets, by reducing search cost, which may result in significantly. higher price competition among sellers and therefore lower prices for buyers. And the degree of two factors; asset specificity and uncertainty, affect the market mechanism. Products with low asset specificity and low uncertainty are compatible with a market relationship while the greater the asset specificity and uncertainty, the more likely it is to favour a hierarchical structure. Based on the these researches, we observed and analyzed a case study of market mechanism in Internet business. We found the fact that even though Internet could make the business environment in which lots of buyers and suppliers participate, electronic market will evolve market mechanism. 1 analyzed two factors, which affected market evolution. First, When Asset specificity is low in electronic commerce, market structure should be preferred to hierarchical structure. Second, When transaction uncertainty is low in electronic commerce, market structure should be preferred In hierarchical structure. This research covers conceptual and empirical aspects on electronic market structure. Future research should be variously done about the influential factors of electronic market mechanism.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2012.11a
• /
• pp.277-278
• /
• 2012

After the introduction of CM(construction management) for improving productability in construction industry, the CM market was shown to actively grow shape until 2007 but suddenly appears passive movement of the market after in 2008. However, on one hand, the CM corporations has increased, because the construction supervision market come to the CM market area by reduction their work place. Because of this, it was discussed that will intensify competition between companies in the CM market. Therefore, this paper want to analyze to status of the CM market structure for studying about the CM industry status and change during last 3 years. As a result, by decreasing the Market concentration, the CM market competition rate did not too high with business despite that CM market downsize and has been increased the number of companies.

• Asia Marketing Journal
• /
• v.14 no.2
• /
• pp.157-176
• /
• 2012

Brand switching data frequently used in market structure analysis is adequate to analyze non- durable goods, because it can capture competition between specific two brands. But brand switching data sometimes can not be used to analyze goods like automobiles having long term duration because one of main assumptions that consumer preference toward brand attributes is not changed against time can be violated. Therefore a new type of data which can precisely capture competition among durable goods is needed. Another problem of using brand switching data collected from actual purchase behavior is short of explanation why consumers consider different set of brands. Considering above problems, main purpose of this study is to analyze market structure for durable goods with consideration set. The author uses exploratory approach and latent class clustering to identify market structure based on heterogeneous consideration set among consumers. Then the relationship between some factors and consideration set formation is analyzed. Some benefits and two demographic variables - age and income - are selected as factors based on consumer behavior theory. The author analyzed USA automotive market with top 11 brands using exploratory approach and latent class clustering. 2,500 respondents are randomly selected from the total sample and used for analysis. Six models concerning market structure are established to test. Model 1 means non-structured market and model 6 means market structure composed of six sub-markets. It is exploratory approach because any hypothetical market structure is not defined. The result showed that model 1 is insufficient to fit data. It implies that USA automotive market is a structured market. Model 3 with three market structures is significant and identified as the optimal market structure in USA automotive market. Three sub markets are named as USA brands, Asian Brands, and European Brands. And it implies that country of origin effect may exist in USA automotive market. Comparison between modal classification by derived market structures and probabilistic classification by research model was conducted to test how model 3 can correctly classify respondents. The model classify 97% of respondents exactly. The result of this study is different from those of previous research. Previous research used confirmatory approach. Car type and price were chosen as criteria for market structuring and car type-price structure was revealed as the optimal structure for USA automotive market. But this research used exploratory approach without hypothetical market structures. It is not concluded yet which approach is superior. For confirmatory approach, hypothetical market structures should be established exhaustively, because the optimal market structure is selected among hypothetical structures. On the other hand, exploratory approach has a potential problem that validity for derived optimal market structure is somewhat difficult to verify. There also exist market boundary difference between this research and previous research. While previous research analyzed seven car brands, this research analyzed eleven car brands. Both researches seemed to represent entire car market, because cumulative market shares for analyzed brands exceeds 50%. But market boundary difference might affect the different results. Though both researches showed different results, it is obvious that country of origin effect among brands should be considered as important criteria to analyze USA automotive market structure. This research tried to explain heterogeneity of consideration sets among consumers using benefits and two demographic factors, sex and income. Benefit works as a key variable for consumer decision process, and also works as an important criterion in market segmentation. Three factors - trust/safety, image/fun to drive, and economy - are identified among nine benefit related measure. Then the relationship between market structures and independent variables is analyzed using multinomial regression. Independent variables are three benefit factors and two demographic factors. The result showed that all independent variables can be used to explain why there exist different market structures in USA automotive market. For example, a male consumer who perceives all benefits important and has lower income tends to consider domestic brands more than European brands. And the result also showed benefits, sex, and income have an effect to consideration set formation. Though it is generally perceived that a consumer who has higher income is likely to purchase a high priced car, it is notable that American consumers perceived benefits of domestic brands much positive regardless of income. Male consumers especially showed higher loyalty for domestic brands. Managerial implications of this research are as follow. Though implication may be confined to the USA automotive market, the effect of sex on automotive buying behavior should be analyzed. The automotive market is traditionally conceived as male consumers oriented market. But the proportion of female consumers has grown over the years in the automotive market. It is natural outcome that Volvo and Hyundai motors recently developed new cars which are targeted for women market. Secondly, the model used in this research can be applied easier than that of previous researches. Exploratory approach has many advantages except difficulty to apply for practice, because it tends to accompany with complicated model and to require various types of data. The data needed for the model in this research are a few items such as purchased brands, consideration set, some benefits, and some demographic factors and easy to collect from consumers.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.12
• /
• pp.337-343
• /
• 2021

The study's objective is to ascertain the state of the creative industry's market structure, the behavior of entrepreneurs ("conduct"), and the performance of the creative industry in Indonesia. Additionally, this study evaluates the relationship between structure, conduct, and performance within the context of the relationship between the three. This study analyzes longitudinal data from 2005 to 2015 for sub-sectors within the creative industry. The first step is to group statistical sub-sectors into creative-industry categories. The next step is to quantify and analyze the structure, behavior, and performance indicators of each creative industry subsector. Then, using a random effect panel data model, the relationship between structure and performance was estimated and examined. The findings of this study suggest that market share and concentration ratio calculations indicate that the creative industry in Indonesia has a monopolistic market structure. With this market framework, the creative industry's conduct can have an effect on prices. This is undoubtedly consistent with the features of the creative industry, which emphasize innovation as a means of adding value. The panel data estimation findings suggest the need for long-term efforts to maintain a market framework that enables businesses to compete fairly, innovate, and bring value.

• Journal of Global Scholars of Marketing Science
• /
• v.18 no.1
• /
• pp.141-156
• /
• 2008

Market structure analysis is a very useful tool to analyze the competition boundary of the brand or the company. But most of the studies in market structure analysis, the concern lies in nondurable goods such as candies, soft drink and etc. because of the their availability of the data. In the field of durable goods, the limitation of the data availability and the repurchase time period constrain the study. In the analysis of the automobile market, those of views might be more persuasive. The purpose of this study is to analyze the structure of automobile market based on some idea suggested by prior studies. Usually the buyers of the automobile tend to buy upper tier when they buy in the next time. That kind of behavior make it impossible to analyze the structure of automobile market under the level of automobile model. For that reason I tried to analyze the market structure in the brand or company level. In this study, consideration data was used for market structure analysis. The reasons why we used the consideration data are summarized as following. Firstly, as the repurchase time cycle is too long, brand switching data which is used for the market analysis of nondurable good is not avaliable. Secondly, as we mentioned, the buyers of the automobile tend to buy upper tier when they buy in the next time. We used survey data collected in the U.S.A. market in the year of 2005 through questionaire. The sample size was 8,291. The number of brand analyzed in this study was 9 among 37 which was being sold in U.S.A. market. Their market share was around 50%. The brands considered were BMW, Chevrolet, Chrysler, Dodge, Ford, Honda, Mercedes, and Toyota. �� ratio was derived from frequency of the consideration set. Actually the frequency is different from the brand switch concept. In this study to compute the �� ratio, the frequency of the consideration set was used like a frequency of brand switch for convenience. The study can be divided into 2 steps. The first step is to build hypothetical market structures. The second step is to choose the best structure based on the hypothetical market structures, Usually logit analysis is used for the choice best structure. In this study we built 3 hypothetical market structure. They are type-cost, cost-type, and unstructured. We classified the automobile into 5 types, sedan, SUV(Sport Utility Vehicle), Pickup, Mini Van, and Full-size Van. As for purchasing cost, we classified it 2 groups based on the median value. The median value was $28,800. To decide best structure among them, maximum likelihood test was used. Resulting from market structure analysis, we find that the automobile market of USA is hierarchically structured in the form of 'automobile type - purchasing cost'. That is, result showed that automobile buyers considered function or usage first and purchasing cost next. This study has some limitations in the analysis level and variable selection. First, in this study only type of the automobile and purchasing cost were as attributes considered for purchase. Considering other attributes is very needful. Because of the attributes considered, only 3 hypothetical structure could be analyzed. Second, due to the data, brand level analysis was tried. But model level analysis would be better because automobile buyers consider model not brand. To conduct model level study more cases should be obtained. That is for acquiring the better practical meaning, brand level analysis should be conducted when we consider the actual competition which occurred in the real market. Third, the variable selection for building nested logit model was very limited to some avaliable data. In spite of those limitations, the importance of this study lies in the trial of market structure analysis of durable good.

• Journal of the Korea Institute of Building Construction
• /
• v.13 no.2
• /
• pp.193-201
• /
• 2013

Recently there has been insignificant growth in the Korean construction management (CM) market, in comparison to the previous year. However, despite stagnation or even decreasing growth trends, the number of domestic companies participating in the CM market has increased rapidly. As follows, market movements of CM despite trending in stagnant growth or decrease, the market has been increasing firms which entry the market. The reasons for such dynamic change must be examined first, in order to facilitate analysis of its competitive structure. This study aims to examine the market competition structure and analyze the reason for proliferation of companies in the sick CM market. This study employs market concentration ratio and DEA-based Malmquist productivity indices to analyze the competitive structure of the CM market. Results reveal that the CM market has been monopolized by a few companies, but this is gradually changing. In addition, these companies were not productive, but there has been a gradual increase in the productivity index. Therefore, this study, which provides the direction index of the CM market, has implications for all major stakeholders in this market.

• Journal of the Korean Regional Science Association
• /
• v.31 no.1
• /
• pp.43-63
• /
• 2015

This study empirically analyzes the relationship between market structure and R&D activities. Especially, the outcome of R&D activities could be imitated or plagiarized by nearby competitors before it is protected legally through patenting, it would work as a club good and its market structure need to be defined at the geographic level of city, county or ward rather than the whole nation. According to the regression results of this study using Survey on Technology Statistics of Small- and Medium-Sized Firms, individual firms' R&D investment is more active when market structure of area(city, county, or ward)-industry(two-digit industry) is monopolistic or oligopolistic rather than competitive. However, as the variable representing market structure is redefined over a geographic scope of 16 metropolitan areas or provinces, 6 regions, or the whole nation, the relationship between market structure and R&D activities seems to become weak. Moreover, when the R&D expenditure is divided by its source, more active R&D spending in a less competitive market is observed as long as it is procured by internal fund of the firm in question.

• The Journal of Fisheries Business Administration
• /
• v.28 no.2
• /
• pp.67-85
• /
• 1997

The subject of this study is limited to the market of producting and the analyzed the change of the supply structures, but the wide range of the study also contains the relationship present movement of consumption and the supply stuctures. To put it concretely, the present movement of the structre and the development of the market of producting are examined with the fisheries processing firms. The factors which dominate the structure of fisheries processing are; first, fisheries products as raw materials of processing; second, man-power; third, processing facilities and techniques; forth, a market where the products will be consumed. In particular, the conditions of supply of raw materials which are major factor have been worse and worse due to exhaustion of marine resources and so the capacity of fisheries production has been reduced. Furthermore, the conditions of manpower also are in trouble. Under the conditons, raw materials are imported largely and many companies try to make overseas enpansion for cheap manpower and raw materials. Particulaly, the relationship between consumption market and the structure of processing in a place of producton is analyzed newly. I try to show new logic that demands of consumption market are reflected strongerly to production with the development of consumption market and the rights of decision on the choice of raw materials and a processing item have been handed over to consumption market. In a word, I try to examined closely the new supply structure of fisheries products and the structure of consumption market through the analysis of the structure of processing in a place of production.

• Korean System Dynamics Review
• /
• v.6 no.2
• /
• pp.95-116
• /
• 2005

The purpose of this study is to analyze the structure of renewable energy market in order to deploy more renewable energy in Korea on the basis of information asymmetry between suppliers and demanders. To attain this purpose we develop the model to analyze and simulate the renewable market using system dynamics. This model is developed not to forecast the accurate size of market but to learn more structure of market using our limited data, mental model and knowledge of market.