• Journal of the Korea Society of Computer and Information
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• v.21 no.6
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• pp.107-115
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• 2016

In this paper, we propose a Bicycle sharing has grown popular around the cities in the world due to its convenience. However, the bicycle sharing system is not problem-free, and there remains many managerial problems to be solved. In this study, we analyzed pricing strategy of a bicycle sharing system by minimizing the number of bicycles relocated by trucks, the act of which incurs penalty. The objective function is constructed by applying mixed integer programming and is presented as a stochastic model by using Markov chain so that arrival and departure rates of bicycle stations can be utilized in the analysis. The efficiency of the presented model is verified upon the analysis of bicycle sharing data gathered in Daejeon in 2014.

• The Journal of Society for e-Business Studies
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• v.9 no.3
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• pp.57-77
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• 2004

The main purpose of this study is to develop XML schemata and related STEP model for sharing construction drawings information. To achieve this purpose, the authors have developed a drawing information model based on STEP/AP202, the data searching mechanism based on STEP, and XML schemata for sharing and exchanging information between vector data and non-shape attribute information. Finally, the authors have suggested the way of sharing drawing information through linked STEP data and a XML schema using test cases of construction material information and code checking. The study shows a way of optimized managing and sharing construction information through the drawing information and external data for the whole building life-cycle, from early design stage to the construction stage.

• Knowledge Management Research
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• v.13 no.2
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• pp.53-72
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• 2012

Recently, an effective building and utilization of information system are essential in franchise firms as well as corporate management. Accordingly, this study is to examine the structural relationships among partnership quality of supplier, trust with a supplier and commitment, and franchise information system performance based on Henderson's(1990) information system partnership model and Lee and Kim's(1999) partnership model. For these purposes, the authors developed several hypotheses. The data were collected from 173 franchisors and analyzed with SPSS 18.0 and AMOS 18.0 The results are as following. First, sharing knowledge, interdependence, and mutual benefit influence supplier trust, but do not influence commitment. Second, supplier trust affect commitment and it prove that supplier trust is a full mediating role between partnership quality and commitment of franchise and information system supplier. Third, both supplier trust and commitment have a positive effect on performance of franchise information system. Therefore, it implies that supplier trust is significant factor in an performance of franchise information system. At the end of this paper, managerial and theoretical implications, limitations and future research directions were suggested.

• International Commerce and Information Review
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• v.15 no.4
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• pp.47-68
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• 2013

This paper attempts to reveal the relationships between HACCP, traceability, sharing information factors and Business Performance. According to precedent studies, Our study analysed 132cases from Korean companies which adopted a HACCP and then developed a structural equation model. As a result of the model test, this empirical study found that HACCP have a positively significant influence on food supply chain's traceability, sharing information and business performance. Second, there was a positive relationship among transparency, sharing information and Business performance. Last and foremost, transparency affects positively on Business performance mediate sharing information. For further study should be conducted for discovering effective practice factors of HACCP.

• KIPS Transactions on Computer and Communication Systems
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• v.12 no.4
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• pp.143-156
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• 2023

The domestic threat information sharing system to deal with various security threats in the rapidly changing cyber environment needs to be improved. In this study, to solve these problems and promote the activation of threat information sharing, we derive a research model based on the value-based containment model (VAM) for vital factors in information sharing. After conducting a Ricardian 5-point survey on a total of 204 individuals, the statistical results of the first 151 individuals were analyzed using SPSS and AMOS, and the statistical results of the second 204 individuals were analyzed using R-Studio. As a result, perceivability was found to have a significant impact as a core factor in the activation of cyber threat information sharing (β=0.405, p<0.01), and the hindrance factor was analyzed as innovation resistance (β=-0.152, p<0.01). Microscopically, the obtained results can be applied to factor analysis for activating information sharing of cyber threats by companies in the future, and macroscopically, they can contribute to the foundational development of a national cyber threat response system.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.3
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• pp.1385-1402
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• 2019

Quickly picking up some valuable information from massive manufacturing event stream usually faces with the problem of long detection time, high memory consumption and low detection efficiency due to its stream characteristics of large volume, high velocity, many variety and small value. Aiming to solve the problem above for the current complex event processing methods because of not sharing detection during the detecting process for massive manufacturing event streams, an efficient complex event processing method based on multipattern sharing is presented in this paper. The achievement of this paper lies that a multipattern sharing technology is successfully used to realize the quick detection of complex event for massive manufacturing event streams. Specially, in our scheme, we firstly use pattern sharing technology to merge all the same prefix, suffix, or subpattern that existed in single pattern complex event detection models into a multiple pattern complex event detection model, then we use the new detection model to realize the quick detection for complex events from massive manufacturing event streams, as a result, our scheme can effectively solve the problems above by reducing lots of redundant building, storing, searching and calculating operations with pattern sharing technology. At the end of this paper, we use some simulation experiments to prove that our proposed multiple pattern processing scheme outperforms some general processing methods in current as a whole.

• Knowledge Management Research
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• v.10 no.2
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• pp.1-14
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• 2009

This study has investigated the effects of promoting and inhibiting factors on information sharing between buyers and sellers in Korean distribution industry. Based on intensive literature reviews, eight promoting factors(satisfaction, relational norms, trust, commitment, fairness, formalization, participation, transaction specific investment) and five inhibiting factors(opportunism, environmental uncertainty, conflict, concentration, monitoring) were included in the research model. For the purpose of empirical testing, 320 respondents of retailers in Korea were surveyed and the analysis utilizing structural equation model indicated that satisfaction, relational norms, trust, commitment, fairness, formalization, and participation had positive effects on information sharing. And concentration and monitoring had negative effects on it. However transaction specific investment, opportunism, conflict, and environmental uncertainty had no significant effects.

• Journal of Distribution Research
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• v.16 no.2
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• pp.95-118
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• 2011

The purpose of this study is as follows. First, we investigate empirically the effects of social network properties such as social network density and centrality of a franchisee on its information sharing with various subjects such as the franchisor and other franchisees in the franchise system. Second, we examine exploratively if tie strength between a franchisee and its franchisor plays a moderating role on the relationship between social network properties and information sharing. The study model was established as shown in

• Agribusiness and Information Management
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• v.3 no.1
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• pp.1-10
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• 2011

In this exploratory analysis, we investigate the genesis and the evolution of local food-purchasing networks created and operated by consumers. In details, we describe how collecting and sharing information about food-products can become a central activity for some consumers' communities and how these communities are starting to play an active role in the food supply chain. We define this community-based food-purchasing model as collaborative food network (CFN), and we analytically describe its characteristics and differences with respect to the traditional and industrialized agrifood supply chain models. A collaborative food network community in Italy, known as GAS ("Gruppi di Acquisto Solidale" - "Solidarity Purchasing Groups"), is introduced as an example of our analytical model. We will use this empirical example to present the strengths and weaknesses of the CFN model.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.9
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• pp.2073-2085
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• 2012

Recently, the International Telecommunication Union allocated the 470-862 MHz band to the digital broadcasting (DB) service. Moreover, the 790-862 MHz sub-band will be allocated to the next-generation mobile system, known as the International Mobile Telecommunication - Advanced (IMT-A), and to the DB on a co-primary basis in the year 2015. Currently, two candidate technologies are available to represent the IMT-A system; the Mobile WiMAX and Long Term Evolution - Advanced (LTE-A). One of the main criteria of the IMT-A candidate is to not cause additional interference to the primary service (i.e., DB). In this paper, we address the spectrum sharing issue between the IMT-A candidates and the DB service. More precisely, we investigate the interference effect between the DB service and the mobile network, which could be either LTE-A or WiMAX. Our study proposes a spectrum sharing model to take into account the impact of interference and evaluates the spectrum sharing requirements such as frequency separation and separation distance. This model considers three spectrum sharing scenarios: co-channel, zero guard band, and adjacent channel. A statistical analysis is performed, by considering the interferer spectrum emission mask and victim receiver blocking techniques. The interference-to-noise ratio is used as an essential spectrum sharing criterion between the systems. The model considers the random distribution of the users, antenna heights, and the bandwidth effect as well as the deployment environment in order to achieve spectrum sharing. The results show that LTE-A is preferable to WiMAX in terms of having less interference impact on DB; this can eventually allow the operation of both services without performance degradation and thus will lead to efficient utilization of the radio spectrum.