• Asia Marketing Journal
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• v.19 no.3
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• pp.45-74
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• 2017

The current research proposes to fill a research gap by testing how reward uncertainty, different types of motivation, as well as individual risk-taking attitude affect consumers' promotion participation. Being offered with an uncertain reward, relative to individuals with extrinsic motivation, individuals with intrinsic motivation will have greater intention to participate in marketing promotion. In contrast, being offered with a certain reward, relative to individuals with intrinsic motivation, individuals with extrinsic motivation will have greater intention to participate in marketing promotion. This effect arises only among consumers having a low level of risk-taking attitude. For consumers having a high level of risk-taking attitude, their participation intention shows no significant difference between the two motivation type groups, under both certain and uncertain reward conditions. With an understanding of how consumer's response heterogeneously to promotions involving rewards, marketers can better understand not only how to use this promotional tactic more effectively, but also how to better allocate their budget for promotions.

• Industrial Engineering and Management Systems
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• v.14 no.3
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• pp.248-274
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• 2015

This study discusses a contract to promote collection and recycling of used products in a green supply chain (GSC). A collection incentive contract is combined with a reward-penalty contract. The collection incentive contract for used products is made between a retailer and a manufacturer. The reward-penalty contract for recycling used products is made between a manufacturer and an external institution. A retailer pays an incentive for collecting used products from customers and delivers them to a manufacturer with a product order quantity under uncertainty in product demand. A manufacturer remanufactures products using recyclable parts with acceptable quality levels and covers a part of the retailer's incentive from the recycled parts by sharing the reward from an external institution. Product demand information is assumed as (i) the distribution is known (ii) mean and variance are known. Besides, the optimal decisions for product quantity, collection incentive of used products and lower limit of quality level for recyclable parts under decentralized integrated GSCs. The analysis numerically investigates how (1) contract for recycling activity, (ii) product demand information and (iii) quality of recyclable parts affect the optimal operation for each GSC. Supply chain coordination to shift IGSC is discussed by adopting Nash Bargaining solution.

• The Journal of Korea Robotics Society
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• v.16 no.2
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• pp.122-129
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• 2021

For the Simultaneous Localization and Mapping (SLAM) problem, a different path results in different SLAM results. Usually, SLAM follows a trail of input data. Active SLAM, which determines where to sense for the next step, can suggest a better path for a better SLAM result during the data acquisition step. In this paper, we will use reinforcement learning to find where to perceive. By assigning entire target area coverage to a goal and uncertainty as a negative reward, the reinforcement learning network finds an optimal path to minimize trajectory uncertainty and maximize map coverage. However, most active SLAM researches are performed in indoor or aerial environments where robots can move in every direction. In the urban environment, vehicles only can move following road structure and traffic rules. Graph structure can efficiently express road environment, considering crossroads and streets as nodes and edges, respectively. In this paper, we propose a novel method to find optimal SLAM path using graph structure and reinforcement learning technique.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.8
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• pp.331-338
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• 2022

Successor representation (SR) is a model of human reinforcement learning (RL) mimicking the underlying mechanism of hippocampal cells constructing cognitive maps. SR utilizes these learned features to adaptively respond to the frequent reward changes. In this paper, we evaluated the performance of SR under the context where changes in latent variables of environments trigger the reward structure changes. For a benchmark test, we adopted SR-Dyna, an integration of SR into goal-driven Dyna RL algorithm in the 2-stage Markov Decision Task (MDT) in which we can intentionally manipulate the latent variables - state transition uncertainty and goal-condition. To precisely investigate the characteristics of SR, we conducted the experiments while controlling each latent variable that affects the changes in reward structure. Evaluation results showed that SR-Dyna could learn to respond to the reward changes in relation to the changes in latent variables, but could not learn rapidly in that situation. This brings about the necessity to build more robust RL models that can rapidly learn to respond to the frequent changes in the environment in which latent variables and reward structure change at the same time.

• Journal of Korean Academy of Nursing
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• v.35 no.4
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• pp.680-685
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• 2005

Purpose. The purpose of the study was to categorize nursing students' subjectivity in their attitude toward their jobs, and thereby understand the differences among these attitude types. Methods. The study used a Q-method to measure nursing students' attitude toward jobs identity types. In-depth and objective interviews and literature review formed Q sample. The P sample consisted of 25 nursing students. Results. The results of the study show that nursing students can be categorized into three types, depending on their attitudes toward their jobs. The firs type, 'interest-oriented' students, strongly disagree to the follow-ing: giving priority to job over marriage, standing unfair treatment in the workplace, the importance of pro-motion opportunity, irresponsibility, and uncertainty. The 'reward-oriented' students, on the other hand, strongly disagree to the following: indifference to career prospects, employment-related relocation of residence, irresponsibility, standing difficulties, and compromises with others. The third type of nursing students is the possession-oriented students, who strongly disapprove of irresponsibility, refusal to compromise with reality, standing unfair job allocation or promotion and career uncertainty. Conclusions. The study on nursing college students' attitude toward their jobs is meaningful in the following aspects: First, the study clarifies nursing college students' attitudes toward their job by categorizing it. Second, the study confirms the changing attitudes of nursing students toward jobs with the change of times and calls for proper educational programs to foster healthy career attitudes. Third, proper decision-making as regards jobs and job allocation for nurses, or their career attitudes, is beneficial to individuals, the medical industry, and society.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.106-118
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• 2007

Little attention has been focussed on a precise definition and evaluation mechanism for project management risk specifically related to contractors. When bidding, contractors traditionally price risks using unsystematic approaches. The high business failure rate our industry records may indicate that the current unsystematic mechanisms contractors use for building up contingencies may be inadequate. The reluctance of some contractors to include a price for risk in their tenders when bidding for work competitively may also not be a useful approach. Here, instead, we first define the meaning of contractor contingency, and then we develop a facile quantitative technique that contractors can use to estimate a price for project risk. This model will help contractors analyse their exposure to project risks; and also help them express the risk in monetary terms for management action. When bidding for work, they can decide how to allocate contingencies strategically in a way that balances risk and reward.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.5
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• pp.1036-1057
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• 2013

Wireless body area network (WBAN) is a promising candidate for future health monitoring system. Nevertheless, the path to mature solutions is still facing a lot of challenges that need to be overcome. Energy efficient scheduling is one of these challenges given the scarcity of available energy of biosensors and the lack of portability. Therefore, researchers from academia, industry and health sectors are working together to realize practical solutions for these challenges. The main difficulty in WBAN is the uncertainty in the state of the monitored system. Intelligent learning approaches such as a Markov Decision Process (MDP) were proposed to tackle this issue. A Markov Decision Process (MDP) is a form of Markov Chain in which the transition matrix depends on the action taken by the decision maker (agent) at each time step. The agent receives a reward, which depends on the action and the state. The goal is to find a function, called a policy, which specifies which action to take in each state, so as to maximize some utility functions (e.g., the mean or expected discounted sum) of the sequence of rewards. A partially Observable Markov Decision Processes (POMDP) is a generalization of Markov decision processes that allows for the incomplete information regarding the state of the system. In this case, the state is not visible to the agent. This has many applications in operations research and artificial intelligence. Due to incomplete knowledge of the system, this uncertainty makes formulating and solving POMDP models mathematically complex and computationally expensive. Limited progress has been made in terms of applying POMPD to real applications. In this paper, we surveyed the existing methods and algorithms for solving POMDP in the general domain and in particular in Wireless body area network (WBAN). In addition, the papers discussed recent real implementation of POMDP on practical problems of WBAN. We believe that this work will provide valuable insights for the newcomers who would like to pursue related research in the domain of WBAN.

• Journal of Korea Game Society
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• v.19 no.3
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• pp.101-112
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• 2019

This study examines the potentials and limitations of interactive movies at present by reading the narrative of the interactive movie, through the concept of gamification. The 'quest' of the is to choose an option to play out the story in unpredictable world, and the 'reward' is the hierarchy of the ending. It is necessary to reduce uncertainty between option and ending, intensify playfulness, and provide a variety of discriminative endings in order to make viewers immerse deeper in interactive movies. Such an analysis implies that the intensification of gamification elements may influence the immersion in interactive movies positively.

• Korean Business Review
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• v.11
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• pp.15-38
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• 1998

This study explores the evolution of technical innovation over time. It focuses on sectors of the information technology because this industry can be referred to as one of the most dynamic industries of all times. Following evolutionary theorists, we argue that technological change is gradual and that superior firms and technologies are reward by the' selection' environment. In the initial phase of the industry life cycle, technological change is expected to be radical and uncertainty is high. Over time a product or technology is likely to arise which stands out above all other products or technologies. These so-called 'basic designs' serve as sorts of 'technological guideposts' for further developments in the technology. Once a basic design established, technological progress tends to follow consistent paths or trajectories. The cumulative character of technological progress facilitates a rapid expansion of the boundaries of the technology until the natural limits of the technology are approached and technological progress slows down. Following ecological theories, supply-side developments in the industry are described on the basis of five different organizational types. On the basis of this pattern of market and technological evolution we came up with seven basic propositions.

• Anxiety and mood
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• v.8 no.2
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• pp.133-140
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• 2012

Objective : The aim of this study was to investigate how trauma and personality system was related by comparing TCI profiles of the trauma versus non-trauma groups and PTSD symptom positive (PTSD symptom [+] group) and PTSD symptom negative groups (PTSD symptom [-] group). Methods : We compared the difference of Temperament and Character Inventory (TCI) profiles between the trauma (n=61) and the non-trauma (n=61) groups, and between the PTSD symptom [+] group (n=40) and PTSD symptom [-] group (n=21). Results : Comparison of the TCI's seven higher dimensions between the PTSD symptom [+] and [-] groups showed significant differences only in C (Cooperativeness). And in the analysis of TCI's lower dimensions the significant differences were observed in the HA1 (Worry and pessimism), HA2 (Tension regarding uncertainty), and C4 (Compassion) subscales. However, significant differences in the higher dimensions appeared more clearly between the non-traumatized group and the traumatized group. Compared to the non-traumatized group, the traumatized group scored significantly higher in HA (Harm avoidance) and RD (Reward dependence), while lower in SD (Self-directedness). Conclusion : Overall, present results suggest that traumatic experiences may affect personality systems regardless of the development and of PTSD symptoms.