• Safety and Health at Work
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• v.10 no.2
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• pp.205-212
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• 2019

Background: Workforce health is one of the primary and most challenging issues, particularly in industrialized countries. This article aims at modeling the major factors affecting accidents in the workplace, including general health, work-family conflict, effort-reward imbalance, and internal and external locus of control. Methods: A cross-sectional study was conducted in Esfahan Steel Company in Iran. A total of 450 participants were divided into two groups-control and case-and the questionnaires were distributed among them. Data were collected through a 7-part questionnaire. Finally, the results were analyzed using SPSS 22.0 and Amos software. Results: All the studied variables had a significant relationship with the accident proneness. In the case group, general health with a coefficient of -0.37, worke-family conflict with 0.10, effort-reward imbalance with 0.10, internal locus of control with -0.07, and external locus of control with 0.40 had a direct effect on occupational stress. Occupational stress also had a positive direct effect on accident proneness with a coefficient of 0.47. In addition, fitness indices of control group showed general health (-0.35), worke-family conflict (0.36), effort-reward imbalance (0.13), internal locus of control (-0.15), and external locus of control (0.12) have a direct effect on occupational stress. Besides, occupational stress with a coefficient of 0.09 had a direct effect on accident proneness. Conclusion: It can be concluded that although previous studies and the present study showed the effect of stress on accident and accident proneness, some hidden and external factors such as work-family conflict, effort-reward imbalance, and external locus of control that affect stress should also be considered. It helps industries face less occupational stress and, consequently, less occurrence rates of accidents.

• 한국노년학
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• v.32 no.3
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• pp.851-867
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• 2012

The purpose of this study was to identify the caregiving reward of grandmothers raising their infant grandchildren and to examine factors influencing rewards in double-earner households. Data were collected from 323 grandmothers raising infant grandchildren who are under 6 years of age in double-earner households in Seoul, Gyeonggi-do and six metropolitan cities. According to the hierarchy multiple regression analysis, grandmothers' caregiving reward was found to be significantly high. It was also appeared that main factors of the rewards of grandmother were grandparents meaning, relationship with adult children and economic level. This study implies that improving grandparents meaning, relationship with adult children, and economic support may be a strategy to enhance the reward of grandmothers raising infant grandchildren. These findings suggest that there is a need to provide intervention and welfare policy for elderly caregiver.

• Journal of Convergence for Information Technology
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• v.10 no.12
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• pp.91-99
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• 2020

The aim of this study to assess the effect of information security policy awareness, information security involvement, compliance behavioral intention on information security behavior The research method is composed of a cross-sectional design of reward and fairness. This paper focuses on the process of organizational policy on the information security compliance intention in the individual decision-making process. As a result, the reward had a significant effect on compliance behavioral intention, and it was found that influence of the psychological reward-based condition was greater than the material reward-based condition. The fairness had a significant effect on information security policy awareness, information security involvement, information security behavior, and it was found that influence of the equity-based condition was greater than the equality-based condition. The exploration model was verified as a multiple mediation model. In addition, the discussion presented the necessary research direction from the perspective of synergy by the cultural environment of individuals and organizations.

• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.7
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• pp.838-844
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• 2020

The purpose of this study is to examine whether personality and reward affect PSM of new maritime police officer recruits. Results are as follows. First, among the personality factors, the neuroticism sub-factor had significant positive effect on PSM sub-factors favorable perception towards public policy, commitment to public interest, and empathy. Also, the extroversion sub-factor had significant effect only on the self-sacrifice sub-factor of PSM. Second, the reward factor mostly didn't have significant effect on PSM. The internal reward sub-factor had significant effect on the empathy sub-factor of PSM. These results confirm that personality factors have significant impact on public service motivation. This implicates the need for policy improvements to reflect this result, and further empirical studies on the relationship between reward and public service motivation.

• Journal of information and communication convergence engineering
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• v.20 no.1
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• pp.22-30
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• 2022

The reinforcement learning algorithm has proven its potential in solving sequential decision-making problems under uncertainties, such as finding paths to route data packets in wireless sensor networks. With reinforcement learning, the computation of the optimum path requires careful definition of the so-called reward function, which is defined as a linear function that aggregates multiple objective functions into a single objective to compute a numerical value (reward) to be maximized. In a typical defined linear reward function, the multiple objectives to be optimized are integrated in the form of a weighted sum with fixed weighting factors for all learning agents. This study proposes a reinforcement learning -based routing protocol for wireless sensor network, where different learning agents prioritize different objective goals by assigning weighting factors to the aggregated objectives of the reward function. We assign appropriate weighting factors to the objectives in the reward function of a sensor node according to its hop-count distance to the sink node. We expect this approach to enhance the effectiveness of multi-objective reinforcement learning for wireless sensor networks with a balanced trade-off among competing parameters. Furthermore, we propose SDN (Software Defined Networks) architecture with multiple controllers for constant network monitoring to allow learning agents to adapt according to the dynamics of the network conditions. Simulation results show that our proposed scheme enhances the performance of wireless sensor network under varied conditions, such as the node density and traffic intensity, with a good trade-off among competing performance metrics.

• 한국체육학회지인문사회과학편
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• v.54 no.2
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• pp.285-297
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• 2015

This study aimed to research customer reward program factors of ski resorts in Korea through surveying the expert panel side and the customer side. This study conducted survey for 28 practicians that have been working for the department of customer reception of 6 different ski resorts all over the country and 7 faculties quited well-known in the academic circles. Delphi technique has been used to conduct survey customer reward program factors of the supplier side till the 3rd survey as the final. Based on this survey, an interview and a questionnaire survey have been used to conduct survey customer reward program factors that have been aware by the 50 customers, who have visited the ski resorts in 2014, and compared those two surveys above. In order to process the data, descriptive statistic analysis and Kendall W test have been utilized PASWWIN Ver. 18.0. The results were as follows: discount factor 8 articles, promotion factor 10 articles, package factor 5 articles, and convenience factor 6 articles have been produced as a good result.

• Journal of Agricultural Extension & Community Development
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• v.19 no.2
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• pp.381-408
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• 2012

The subjects of the research were 275 aged care nurses working in Gyeonggi regions. The analysis result showed: job satisfaction in overall situation was 2.87 on a 5 point scale, indicating the level of job satisfaction was lower than average: the quality of life was 2.97, as with job satisfaction, also low. On the other hand, the research outcomes to discern if it affects the lower level of the quality of life, it was found that variables affecting psychological health include job, pay, co-workers, organization, changing an occupation/job; Social environment include job, pay, and promotion (reward), The maintenance of social relations, pay, promotion(reward) and co-workers, changing an occupation/job; variables affecting physical health include job, pay, promotion(reward), changing an occupation/job; The research outcomes confirm that the job satisfaction of aged visit care workers is an important factor affecting their quality of life.

• International Journal of Contents
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• v.4 no.3
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• pp.20-28
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• 2008

To obtain realistic performance measures for wireless networks, one should consider changes in performance due to failure related behavior. In performability analysis, simultaneous consideration is given to both pure performance and performance with failure measures. SRN is an extension of stochastic Petri nets and provides compact modeling facilities for system analysis. In this paper, a new methodology to model and analyze performability based on stochastic reward nets (SRN) is presented. Composite performance and availability SRN models for wireless handoff schemes are developed and then these models are decomposed hierarchically. The SRN models can yield measures of interest such as blocking and dropping probabilities. These measures are expressed in terms of the expected values of reward rate functions for SRNs. Numerical results show the accuracy of the hierarchical model. The key contribution of this paper constitutes the Petri nets modeling techniques instead of complicate numerical analysis of Markov chains and easy way of performance analysis for channel allocation under SRN reward concepts.

• Journal of the Korean Operations Research and Management Science Society
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• v.31 no.3
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• pp.27-40
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• 2006

Today's customer demands in supply chains tend to change quickly, variously even in a short time Interval. The uncertainties of customer demands make it difficult for supply chains to achieve efficient inventory replenishment, resulting in loosing sales opportunity or keeping excessive chain wide inventories. Un this paper, we propose an adaptive vendor managed inventory (VMI) model for a two-echelon supply chain with non-stationary customer demands using the action-reward learning method. The Purpose of this model is to decrease the inventory cost adaptively. The control Parameter, a compensation factor, is designed to adaptively change as customer demand pattern changes. A simulation-based experiment was performed to compare the performance of the adaptive VMI model.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.04a
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• pp.438-441
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• 1996

The objective of this study is to select reward measure of improved business results. Grain sharing is defined as a compensation system that is designed to provide for variable compensation and to support an employee involvement process by rewarding the members of a group or organization for improvements in organizational performance. Gains, as measured by a predetermined formula, are shared with all eligible employees, typically through the payment of cash bonuses. Generally sales, profit, value-added, cost reduction portion and otherthings have been used as gains, otherwise improved business results, without any proof which is correlated to productivity improvement. This paper suggests which business result is fit reward measure for each business types and sizes.