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      • A new design method for site-joints of the tower crane mast by non-linear FEM analysis

        Ushio, Yoshitaka,Saruwatari, Tomoharu,Nagano, Yasuyuki Techno-Press 2019 Advances in computational design Vol.4 No.4

        Among the themes related to earthquake countermeasures at construction sites, those for tower cranes are particularly important. An accident involving the collapse of a crane during the construction of a skyscraper has serious consequences, such as human injury or death, enormous repair costs, and significant delays in construction. One of the causes of deadly tower crane collapses is the destruction of the site joints of the tower crane mast. This paper proposes a new design method by static elastoplastic finite element analysis using a supercomputer for the design of the end plate-type tensile bolted joints, which are generally applied to the site joints of a tower crane mast. This new design method not only enables highly accurate and reliable joint design but also allows for a design that considers construction conditions, such as the introduction of a pre-tension axial force on the bolts. By applying this new design method, the earthquake resistance of tower cranes will undoubtedly be improved.

      • EXPLORATION OF CUSTOMERS WHO REPEAT IMMEDIATELY: AN EMPIRICAL INVESTICATION OF A JAPANESE DIRECT MARKETING

        Ushio Dazai,Takashi Okutani 글로벌지식마케팅경영학회 2023 Global Marketing Conference Vol.2023 No.07

        As the popularity of gaming has increased, the importance and effectiveness of in-game advertisements have become more relevant to marketers. However, despite this development, both marketing academics and practitioners do not fully comprehend how consumers respond to in-game advertisements. This study focuses on the dynamics associated with in-game advertisements, considering the privacy concerns and ad relevance expectations of consumers/gamers.

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      • 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.

      • AN INQUIRY ON ENGAGEMENT BEHAVIOR AND CUSTOMER RELATIONSHIP IN OMNI-CHANNEL RETAILING

        Ushio Dazai,Akihiro Nishihara,Takashi Okutani,Hiroyuki Tsurumi 글로벌지식마케팅경영학회 2018 Global Marketing Conference Vol.2018 No.07

        The channel transformation to omni-channel is currently in progress in the retail industry. For the progress to occur, facilitating meaningful experiences of customers in their customer journeys, capturing such experiences through various channels and touch points, and then analyzing the information acquired as big data are required (Lemon and Verhoef, 2016). With the increase in the number of customer experiences being observed through the internet and mobile communication, the focus is now on engagement. However, there have not yet been many studies conducted to deliberate comprehensively on how the engagements of behavioral aspects captured through various channels and the evaluation indicators of customers, as represented by the RFM or LTV, are related in a broader sense. The purpose of this research is to clarify the relational structure from a comprehensive perspective that are not constrained by monetary amounts. This paper showed results using data from the retailer. This research is divided broadly into two stages. The first stage identifies the engagements of behavioral aspects and the relationship between the respective behaviors, as well as the typification of behavioral patterns. The second stage involves clarifying the relationship between the customer’s evaluation indicators and engagement behaviors. The engagement behaviors are basically correlated with RFM, however authors found that there is no relationship between specific engagement behavior and RFM in the group of low rank customers. On the other hand, using different types of services or shops from the core business strengthens the customer relationship. Finally, the relationship between the types of engagement behaviors and the respective customer evaluation indicators is presented in the conclusion.

      • Elastoplastic FEM analysis of earthquake response for the field-bolt joints of a tower-crane mast

        Ushio, Yoshitaka,Saruwatari, Tomoharu,Nagano, Yasuyuki Techno-Press 2019 Advances in computational design Vol.4 No.1

        Safety measures for tower cranes are extremely important among the seismic countermeasures at high-rise building construction sites. In particular, the collapse of a tower crane from a high position is a very serious catastrophe. An example of such an accident due to an earthquake is the case of the Taipei 101 Building (the author was the project director), which occurred on March 31, 2002. Failure of the bolted joints of the tower-crane mast was the direct cause of the collapse. Therefore, it is necessary to design for this eventuality and to take the necessary measures on construction sites. This can only be done by understanding the precise dynamic behavior of mast joints during an earthquake. Consequently, we created a new hybrid-element model (using beam, shell, and solid elements) that not only expressed the detailed behavior of the site joints of a tower-crane mast during an earthquake but also suppressed any increase in the total calculation time and revealed its behavior through computer simulations. Using the proposed structural model and simulation method, effective information for designing safe joints during earthquakes can be provided by considering workability (control of the bolt pretension axial force and other factors) and less construction cost. Notably, this analysis showed that the joint behavior of the initial pretension axial force of a bolt is considerably reduced after the axial force of the bolt exceeds the yield strength. A maximum decrease of 50% in the initial pretension axial force under the El Centro N-S Wave ($v_{max}=100cm/s$) was observed. Furthermore, this method can be applied to analyze the seismic responses of general temporary structures in construction sites.

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