이해빈 교수

Recent studies in maritime shipping have concentrated on environmental and economic impacts of ships. In this regard, fuel is considered as one of the important factors for such impacts. In particular, the sailing speed of the vessels affects the fuel consumption directly. In this study, we consider a speed optimization problem in liner shipping, which is characterized by stochastic port times and time windows. The objective is to minimize the total fuel consumption while maintaining the schedul

This paper investigates how information technology affects temporal aspects of organizational work beyond speeding up business processes. It has developed the dimensions of temporality of business processes and applied them to describe and analyse temporal changes of export-related work in trading companies using EDI. In the departments studied, information technology transformed temporal profiles of work and also created a temporal symmetry between work groups interacting with each other. This

Speed optimization of liner vessels has significant economic and environmental impact for reducing fuel cost and Green House Gas (GHG) emission as the shipping over maritime logistics takes more than 70% of world transportation. While slow steaming is widely used as best practices for liner shipping companies, they are also under the pressure to maintain service level agreement (SLA) with their cargo clients. Thus, deciding optimal speed that minimizes fuel consumption while maintaining SLA is m

The prevalence of big data is starting to spread across the public and private sectors however, an impediment to its widespread adoption orientates around a lack of appropriate big data analytics (BDA) and resulting skills to exploit the full potential of big data availability. In this paper, we propose a novel BDA to contribute towards this void, using a fuzzy cognitive map (FCM) approach that will enhance decision-making thus prioritising IT service procurement in the public sector. This is ac

Purpose This paper aims to introduce a European project CEES to develop a standard for the evaluation of Electronic Government (e‐Government) services from a citizen satisfaction perspective. Design/methodology/approach The aim, objectives, methodology, and deliverables of the project CEES are detailed. Furthermore, the challenges of the development of a reference process model in different countries are addressed and academic and practical implications of the project for the citizen‐oriented ev

Sentiment classification has played an important role in various research area including e-commerce applications and a number of advanced Computational Intelligence techniques including machine learning and computational linguistics have been proposed in the literature for improved sentiment classification results. While such studies focus on improving performance with new techniques or extending existing algorithms based on previously used dataset, few studies provide practitioners with insight

Public participation is one of the most important tasks for policy making processes, and public authorities are lacking ideas on designing public participation processes facilitating active citizen participation. Based on a persuasion theory, this paper examines if policy issues embedded with persuasive features draw more attention, longer elaboration time and more participation. Particularly preference matching, location matching, social proof and authority are identified as persuasive features

Abstract A key prediction of the Capital Asset Pricing Model (CAPM) is that idiosyncratic risk is not priced by investors because in the absence of frictions it can be fully diversified away. In the presence of constraints on diversification, refinements of the CAPM conclude that the part of idiosyncratic risk that is not diversified should be priced. Recent empirical studies yielded mixed evidence with some studies finding positive correlation between idiosyncratic risk and stock returns, while

The managerial trend of empowering workforces requires mobile workers to rely on a high degree of teamwork in a changing environment. An intelligent agent enhances the provision of cooperative services by adopting a component-based approach, increasing accessibility to mobile workers in the field.