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      • AN EMPIRICAL ANALYSIS OF JAPANESE CONSUMER’S ACCEPTABLE PRICE RANGE ---AN APPLICATION OF SURVIVAL ANALYSIS TO PSM DATA--

        Yoshiyuki Okuse 글로벌지식마케팅경영학회 2014 Global Marketing Conference Vol.2014 No.7

        Many measurement methods for understanding consumers’ acceptable price range have been developed. Among these, Price Sensitivity Meter (PSM) is one of the most popular. It has been regarded as a convenient research method because of the ease of data collection and data processing. In particular, PSM requires only four questions to determine the price range. Nevertheless, it also has some problems from a theoretical viewpoint. The purpose of the present research is to develop a new price research method for measuring consumers’ acceptable price range. In particular, applying survival analysis to data prepared for PSM, Japanese consumers’ price acceptance ranges for several categories were estimated.

      • AN EMPIRICAL ANALYSIS OF JAPANESE CONSUMER’S ACCEPTABLE PRICE RANGE ---AN APPLICATION OF SURVIVAL ANALYSIS TO PSM DATA---

        Yoshiyuki Okuse 글로벌지식마케팅경영학회 2014 Global Marketing Conference Vol.2014 No.7

        Many measurement methods for understanding consumers’ acceptable price range have been developed. Among these, Price Sensitivity Meter (PSM) is one of the most popular. It has been regarded as a convenient research method because of the ease of data collection and data processing. In particular, PSM requires only four questions to determine the price range. Nevertheless, it also has some problems from a theoretical viewpoint. The purpose of the present research is to develop a new price research method for measuring consumers’ acceptable price range. In particular, applying survival analysis to data prepared for PSM, Japanese consumers’ price acceptance ranges for several categories were estimated.

      • AN EMPIRICAL ANALYSIS OF DISCOUNTS AND MULTI-CHANNEL PURCHASING

        Ushio Dazai,Yoshiyuki Okuse 글로벌지식마케팅경영학회 2016 Global Marketing Conference Vol.2016 No.7

        Pricing, especially the area of discounting, poses many practical problems and continues to generate academic interest. In this exploratory study, we proposed an analysis format based on multi-channel purchasing and a method to calculate the amount of discount. Our principal contribution is using single-source panel data to calculate the discounts for several stores. First, we presented our definition of discounts. Next, as few consumers (so-called cherry-pickers) accounted for a large portion of the discounts, we confirmed that discounts follow the Pareto principle. Further, we showed how consumers used different chains; we identified the discount-sensitive consumers. We find that consumers who tend to buy high-priced brands are of key importance for sales and revenues of some chains. In the context of shopping behavior, shopping trip type is one of the main concerns. In a relatively early study, Kahn and Schmittlein (1989) showed quick trips and regular trips; however, they did not focus on discounts. Since the 1990s, researchers have been focusing on discounts and multi-channel shopping trips. Walters and Jamil (2003) explored shopping trip type and discount; however, their data are restrictive regarding the purchase period and chain. Fox and Hoch (2005) also showed how the difference in prices across two grocery store chains on the same day was distributed and how some consumers could exhibit cherry-picking behavior. Nevertheless, their research data are not comprehensive and are rather limited to two popular grocery stores. The same limitation is applicable to other studies in the literature (e.g., Bell, Ho and Tang 1998). One of the contributions of this study is our data. We used single-source panel data, acquired through the service of Macromill, Inc. The monitors of this service can use portable code scanners to read JICFS(JAN Item Code File Service)codes anytime and anywhere. Since we focus on multi-channel shopping, we used only data on food purchases. We included 6 million purchase transactions that covered all food categories in 2012 for 6,422 individuals who live in the metropolitan area around Tokyo. There was, essentially, no gender and age bias in the data. However, the data do not provide locational information of the store and consumer. Location is a very important factor for determining a shopping trip (e.g., Arentze, Oppewal and Timmermans 2005). This is one of the limitations of our research. The first step in our analysis is defining the discounts on individual items. To mitigate the influence of extremely high unit prices, we calculated the discount as the difference between the third-quartile price and the purchase price. The next step, we identified cherry-pickers from cross table of sales decile and discount decile. We examined demographic feartures, women relatively exhibit higher cherry-picking behavior than men, and there is a distinct relationship between household income and cherry-picking. As the income level rises, the ratio of cherry-pickers decreases. As for the relationship with age, we find that the ratio of cherry-pickers is the highest among consumers who are in their 30s. However, this ratio decreases with age. Examining the ratio of cherry-pickers by chain, we find that the ratio is higher in EDLP type than in Hi-Lo type chains or High-quality type chains. To simplify the purpose of our study, we deal with the milk category. The reasons for selecting the milk category are that it is one of the most popular food categories in Japan and that the Japanese milk category is assumed as a loss leader. We present some results from a k-means cluster analysis and show how the customer segments utilize each channel in the milk category. This allows us to observe each segment is more discount-conscious in each channel. Among Japanese milk brands, there are some popular and high-priced (above 200 yen / 1 liter pack) brands that rarely offers bargain sales. And the customer who buy that high-priced brands frequently is known as a loyal one. We showed the frequency of purchases for high-priced brands and the frequency (in days) of chain visits. We compared a well-known EDLP type and low-priced supermarket chain and perceived as average or slightly expensive chain. Consumers who habitually purchase the high-priced brand are likely to be loyal customers of the supermarket chain, but this does not hold for the low-priced chain. We will present the results from further analysis and details at the conference.

      • SCIESCOPUSKCI등재

        ORiginal Article : Use of Antithrombin and Thrombomodulin in the Management of Disseminated Intravascular Coagulation in Patients with Acute Cholangitis

        ( Kazunari Nakahara ),( Chiaki Okuse ),( Seitaro Adachi ),( Keigo Suetani ),( Sarika Kitagawa ),( Miki Okano ),( Yosuke Michikawa ),( Rei Takagi ),( Ryuta Shigefuku ),( Fumio Itoh ) The Editorial Office of Gut and Liver 2013 Gut and Liver Vol.7 No.3

        Background/Aims: To evaluate the usefulness and safety of treating disseminated intravascular coagulation (DIC) complicating cholangitis primarily with antithrombin (AT) and thrombomodulin (rTM). Methods: A DIC treatment algorithm was determined on the basis of plasma AT III levels at the time of DIC diagnosis and DIC score changes on treatment day 3. Laboratory data and DIC scores were assessed prospectively at 2-day intervals. Results: DIC reversal rates >75% were attained on day 7. In the DIC reversal group, statistically significant differences from baseline were observed in interleukin- 6 and C-reactive protein levels within 5 days. Patients with no DIC score improvements after treatment with AT alone experienced slow improvement on a subsequent combination therapy with rTM. Although a subgroup with biliary drainage showed greater improvement in DIC scores than did the nondrainage subgroup, the mean DIC score showed improvement even in the nondrainage subgroup alone. Gastric cancer bleeding that was treated conservatively occurred in one patient. As for day 28 outcomes, three patients died from concurrent malignancies. Conclusions: Although this algorithm was found to be useful and safe for DIC patients with cholangitis, it may be better to administer rTM and AT simultaneously from day 1 if the plasma AT III level is less than 70%. (Gut Liver 2013; 7:363-370)

      • Is Early Detection of Colon Cancer Possible with Red Blood Cell Distribution Width?

        Ay, Serden,Eryilmaz, Mehmet Ali,Aksoy, Nergis,Okus, Ahmet,Unlu, Yasar,Sevinc, Baris Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.2

        Background: Red cell distribution width (RDW) is one of the standard parameters with blood cell counts. Much previous research has indicated that it increases in cases of systemic inflammation or cardiametabolic incident. However, information on the relation of RDW with solid tumors causing systemic inflammation is limited. In the present research, we examined the relation of RDW with malignant and benign lesions of the colon. Materials and Methods: 115 patients with colon polyps (group 1), and 30 with colon cancer (group 2) who were diagnosed histopathologically in our clinic between January 2010-January 2013 were scanned retrospectively. Patients with anemia, hematologic diseases and active inflammation were excluded. RDW, mean corpuscular volume (MCV), hemoglobin (Hgb) and platelet (Plt) measurements were recorded and their relations with the malignant and benign lesions of the colon were examined. Results: Both groups were similar in age and gender distribution. RDW values of patients with colon cancer were significantly higher than the patients with colon polyp (p=0,01). No significant differences were detected between the two groups in terms of MCV and Plt values (p>0,05). Conclusions: RDW can be used as an early warning biomarker for solid colon tumors. Further prospective research is required on the relations of cheap and easily measured RDW parameters with colon malignancies.

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