• The Journal of Information Systems
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• v.18 no.3
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• pp.89-110
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• 2009

In today's e-business environment, it is important to make decisions cooperatively between companies on a supply chain for their business success. This research analyzes empirically the influences of organizational factors on joint decision making and the ones of the joint decision making on business performance. We collected 188 corporate-level data through a Web survey and tested them statistically through PLS method based on a structured equation modeling. The results showed that (i) partner's knowledge creation capabilities, inter-organizational process modularity, and inter-organizational trust had direct effects on joint decision making, (ii) joint decision making and electronic business interfaces bad direct impacts on business performance. Contrary to our expectation, however, the moderating effects of electronic business interfaces between corporations on the relationship between joint decision making and business performance was not significant. On the basis of these results, we discussed theoretical and managerial implications of the findings. The results are expected to provide useful perspectives when companies establish strategies to improve capabilities of cooperative decision making and business performance.

• East Asian Journal of Business Economics (EAJBE)
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• v.7 no.2
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• pp.1-9
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• 2019

Purpose - This study aims to examine whether key differences in characteristics of unions have significant implications for absenteeism. To uncover what characteristics of union made workers make decisions to be absent, this study used such key dimensions of unionism as democracy, cooperative strategy of a union, and d density rate. Research design and methodology - The research model of this study is that absenteeism has positive relations with union's democracy and density. But it has negative relations with union cooperative strategy. This study was conducted by survey method on 333local unionized business entities of metal industry in South Korea. Results - The result shows that significant and positive relationship between unions with high density rates, democracy and absenteeism which is in line with the argument of the previous studies. Different from the expectation, the hypotheses 2, it has been shown that there is positive relation between cooperative strategy of union and the decision of workers to be absent. Conclusions - Employers with unions with high density rates could not fully exercise disciplinary power against those workers absent at workplace since a strong union shields them effectively from punishments by employers.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.6
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• pp.2095-2110
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• 2015

This paper presents a design for a throughput-efficient online relay selection scheme for dual-hop multi-relay cooperative networks. Problems arise with these networks due to unpredictability of the relaying link quality and high time-consumption to probe the dual-hop link. In this paper, we firstly propose a novel probing and relaying protocol, which greatly reduces the overhead of the dual-hop link estimation by leveraging the wireless broadcasting nature of the network. We then formulate an opportunistic relay selection process for the online decision-making, which uses a tradeoff between obtaining more link information to establish better cooperative relaying and minimizing the time cost for dual-hop link estimation to achieve higher throughput. Dynamic programming is used to construct the throughput-optimal control policy for a typically heterogeneous Rayleigh fading environment, and determines which relay to probe and when to transmit the data. Additionally, we extend the main results to mixed Rayleigh/Rician link scenarios, i.e., where one side of the relaying link experiences Rayleigh fading while the other has Rician distribution. Numerical results validate the effectiveness and superiority of our proposed relaying scheme, e.g., it achieves at least 107% throughput gain compared with the state of the art solution.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.52 no.9
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• pp.542-549
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• 2003

In this paper, a novel approach to generator maintenance scheduling strategy in competitive electricity markets based on non-cooperative dynamic game theory is presented. The main contribution of this study can be considered to develop a game-theoretic framework for analyzing strategic behaviors of generating companies (Gencos) from the standpoints of the generator maintenance-scheduling problem (GMP) game. To obtain the equilibrium solution for the GMP game, the GMP problem is formulated as a dynamic non-cooperative game with complete information. In the proposed game, the players correspond to the profit-maximizing individual Gencos, and the payoff of each player is defined as the profits from the energy market. The optimal maintenance schedule is defined by subgame perfect equilibrium of the game. Numerical results for two-Genco system by both proposed method and conventional one are used to demonstrate that 1) the proposed framework can be successfully applied in analyzing the strategic behaviors of each Genco in changed markets and 2) both methods show considerably different results in terms of market stability or system reliability. The result indicates that generator maintenance scheduling strategy is one of the crucial strategic decision-makings whereby Gencos can maximize their profits in a competitive market environment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.12
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• pp.3061-3080
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• 2012

To improve the sensing performance, cooperation among secondary users can be utilized to collect space diversity. In this paper, we focus on the optimization of cooperative spectrum sensing in which multiple cognitive users efficiently cooperate to achieve superior detection accuracy with minimum sensing error probability in multiple cross-over cognitive radio networks. The analysis focuses on two fusion strategies: soft information fusion and hard information fusion. Under soft information fusion, the optimal threshold of the energy detector is derived in both noncooperative single-user and cooperative multiuser sensing scenarios. Under hard information fusion, the optimal randomized rule and the optimal decision threshold are derived according to the rule of minimum sensing error (MSE). MSE rule shows better performance on improving the final false alarm and detection probability simultaneously. By simulations, our proposed strategy optimizes the sensing performance for each cognitive user which is randomly distributed in the multiple cross-over cognitive radio networks.

• Korean Journal of Organic Agriculture
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• v.31 no.1
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• pp.45-61
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• 2023

The subject of this study is whether the relevant ordinances of Chungcheongnam-do's five local governments, operating intermediary support organizations for contracted-out community building, comply with the regional innovation and cooperative governance-based perspective. The examination results are summarized as follows. About the normative system: first, village building does not present that it is a participation- and cooperation-based collective activity of various related actors; second, the cooperative governance-based implementation system was not presented as a key term; third, "numerous relevant subjects' participation" and "democratic decision-making and cooperative promotion" are not presented as basic principles; fourth, the subjects are limited to residents and the administration, and only their responsibilities are presented. About the effectiveness system: first, the establishment of a master plan, a primary means, and the establishment of an in-charge department and collaboration system in the administration are presented as optional provisions; second, the nature of the relevant committees and intermediary support organizations is not presented as "public-private cooperation-based system"; third, the area of the function and authority of the relevant committees is limited to review and consultation. Fourth, the related information about the intermediary support organization structure and system, the establishment and operation of the secretariat, and the practical operation of the center is not presented. In sum, to make related ordinances become institutional grounds with stronger effectiveness, reconstructing them by strictly applying the perspectives of regional innovation and cooperative governance is necessary.

• Journal of Institute of Control, Robotics and Systems
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• v.6 no.12
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• pp.1079-1085
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• 2000

In this paper, we propose a method of cooperative control (T-cell modeling) and selection of group behavior strategy (B-cell modeling) based on immune system in distributed autonomous robotic system (DARS). An immune system is the living bodys self-protection and self-maintenance system. these features can be applied to decision making of the optimal swarm behavior in a dynamically changing environment. For applying immune system to DARS, a robot is regarded as a B-cell, each environmental condition as an antigen, a behavior strategy as an antibody, and control parameter as a T-cell, respectively. When the environmental condition (antigen) changes, a robot selects an appropriate behavior strategy (antibody). And its behavior strategy is stimulated and suppressed by other robots using communication (immune network). Finally, much stimulated strategy is adopted as a swarm behavior strategy. This control scheme is based on clonal selection and immune network hypothesis, and it is used for decision making of the optimal swarm strategy. Adaptation ability of the robot is enhanced by adding T-cell model as a control parameter in dynamic environments.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.9
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• pp.2037-2051
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• 2012

Cognitive radio (CR) is envisioned as a promising paradigm of exploiting intelligence for enhancing efficiency of underutilized spectrum bands. In CR, the main concern is to reliably sense the presence of primary users (PUs) to attain protection against harmful interference caused by potential spectrum access of secondary users (SUs). In this paper, evolutionary algorithms, namely, particle swarm optimization (PSO) and genetic algorithm (GA) are proposed to minimize the total sensing decision error at the common soft data fusion (SDF) centre of a structurally-centralized cognitive radio network (CRN). Using these techniques, evolutionary operations are invoked to optimize the weighting coefficients applied on the sensing measurement components received from multiple cooperative SUs. The proposed methods are compared with each other as well as with other conventional deterministic algorithms such as maximal ratio combining (MRC) and equal gain combining (EGC). Computer simulations confirm the superiority of the PSO-based scheme over the GA-based and other conventional MRC and EGC schemes in terms of detection performance. In addition, the PSO-based scheme also shows promising convergence performance as compared to the GA-based scheme. This makes PSO an adequate solution to meet real-time requirements.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.7
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• pp.3433-3446
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• 2019

Aiming at the high complexity of traditional single-channel demodulation algorithm for PCMA signals, a new demodulation algorithm based on neural network is proposed to reduce the complexity of demodulation in the system of non-cooperative PCMA communication. The demodulation network is trained in this paper, which combines the preprocessing module and decision module. Firstly, the preprocessing module is used to estimate the initial parameters, and the auxiliary signals are obtained by using the information of frequency offset estimation. Then, the time-frequency characteristic data of auxiliary signals are obtained, which is taken as the input data of the neural network to be trained. Finally, the decision module is used to output the demodulated bit sequence. Compared with traditional single-channel demodulation algorithms, the proposed algorithm does not need to go through all the possible values of transmit symbol pairs, which greatly reduces the complexity of demodulation. The simulation results show that the trained neural network can greatly extract the time-frequency characteristics of PCMA signals. The performance of the proposed algorithm is similar to that of PSP algorithm, but the complexity of demodulation can be greatly reduced through the proposed algorithm.

• Journal of Oriental Neuropsychiatry
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• v.29 no.4
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• pp.239-253
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• 2018

Objectives: This is one of the manuals of East-West integrative medicine, which was created by the Committee on integrative medicine of Chung-Yeon Korean Medicine Hospital. To support clinical decision making and communication in the East-West cooperative treatment of mild cognitive impairment. Methods: Drafting was based on literature review from the MEDLINE, EMBASE, OASIS, and CNKI databases using search terms such as 'mild cognitive impairment', 'mild neurocognitive disorder', 'acupuncture', 'herbal medicine' and 'traditional Chinese medicine'. An amendment reflecting the goal of consultation and detailed treatment contents was made by reviewing the draft and holding discussion with the rehabilitation specialist of western medicine. The committee then agreed to adopt the manual through the process of review and feedback in addition to face-to-face discussions. Results: This manual contains the diagnosis of mild cognitive impairment, the goal of consultation, and the cooperative treatment contents of the East-West medicine for mild cognitive impairment. Conclusions: This manual provides significant information about the decision making process and contents of treatment in one medical institution for East-West cooperative treatment of mild cognitive impairment.