• Journal of Distribution Science
• /
• v.21 no.5
• /
• pp.93-102
• /
• 2023

Purpose: This study aims to investigate a meaningful connection between the service supply chain and the power to influence potential customers for airline booking. This investigation will cover various topics, including customer service, product quality, and marketing strategies. Additionally, the literature review will examine the various strategies and tactics airlines use to influence customer behavior. Research design, data, and methodology: The data collection process conducted by the author could obtain the justification and establish the quality of the instrument between independent factor (Service Supply Chain) and dependent factor (Power to Influence Potential Customers), selecting peer-reviewed articles mostly for the current study. Results: The findings section thoroughly studied the research findings indicating a potential link between service supply chain management and the ability to persuade potential consumers to book an airline. The research findings will be explored concerning the numerous variables that may affect customers' decision-making in the airline business, the techniques used by airlines to sway consumers. Conclusions: The research has provided evidence that airlines use a variety of strategies to influence potential customers and that these strategies are generally successful in increasing customer loyalty and satisfaction, as well as sales. By utilizing these strategies, airlines can increase their customer base and profitability.

• Korea Trade Review
• /
• v.46 no.3
• /
• pp.203-226
• /
• 2021

Sustainability is considered to be one of the most important social and environmental requirements of modern companies located in global supply chains, since the strong worldwide regulation on carbon emission due to global warming has been emphasized. Sustainable Supply Chain Management(SSCM) could be one of the great alternatives for global companies to maintain a pleasant business environment while fulfilling their social and environmental responsibilities. This paper aims to provide research trends and future directions on SSCM through a systematic literature review. From January of 2004 to May of 2021, 185 English-written and peer-reviewed articles published in eminent journals were selected for the review. The all reviewed papers have been published in SSCI, SCI and SCIE indexed journals and should have accredited by WOS and JCR. A descriptive analysis was followed by a content analysis with regard to research design and methods, and data analysis techniques. We found that the number of research in the field of SSCM have been recently increasing and researchers and their affiliation have been expanding to all over the world, especially to emerging countries. We also found that the rate of the empirical studies and relevant research methodologies applied to the selected papers were relatively high. In the future, it is desirable to be increased the number of the specific industry-oriented research and the quantitative research pursuing the optimality.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.28 no.5
• /
• pp.1247-1258
• /
• 2018

The Cyber Kill Chain originally proposed by Lockheed Martin defines the standard procedure of general cyber attacks and suggests tailored defensive actions per each step, eventually neutralizing the intent of the attackers. Defenders can effectively deal with Advanced Persistent Threat(APT)s which are difficult to be handled by other defensive mechanisms under the Cyber Kill Chain. Recently, however, social engineering techniques that exploits the vulnerabilities of humans who manage the target systems are prevail rather than the technical attacks directly attacking the target systems themselves. Under the circumstance, the Cyber Kill Chain model should evolve to encompass social engineering attacks for the improved effectiveness. Therefore, this paper aims to establish a definite concept of Cyber Kill Chain for social engineering based cyber attacks, called Social Engineering Cyber Kill Chain, helping future researchers in this literature.

• International conference on construction engineering and project management
• /
• 2009.05a
• /
• pp.472-478
• /
• 2009

The scopes of the supply chain management in construction projects has expanded from the field management focusing on field storage, transportation, and lifting to the whole supply chain from the materials to field. The expansion of the supply chain management can raise the possibilities of leaner production, which enables shortened lead time of the difficult-to-operate materials, and prevents the work interference or delay. However, the expanded management range requires more information and management than an existing management style currently used for factory production of iron frame, curtain wall, PC, etc. In addition, there are limitations that expand the existing management style into the new supply chain management in construction projects and therefore it is required to automate the existing management style in order to extend the management range. The objective of this study is to propose the process and equipment that can manage the supply chain of the materials which range from the factory production to the field storage based on RFID/USN techniques, introducing small-sized transportation equipment(intelligent pallet), the vehicle tool kit(intelligent trailer), and in-and-out management equipment(Gate Sensor) as a prototype to effectively develop the appliances for operating the proposed process, and present the application possibility of the appliances. The full paper will present then the test results that the proposed appliances for the supply chain management automatically transmit and receive the generated information between the appliances or the appliance and sever under various wireless network circumstances such as zigbee, wibro, Wi-Fi, and CDMA.

• Proceedings of the Safety Management and Science Conference
• /
• 2002.05a
• /
• pp.135-143
• /
• 2002

On a conceptual point of SCM, as a order of development, physical distribution, logistics management, basic supply chain management and advanced supply chain management etc. they are magnifying gradually, confusing with information and analysis techniques which seems possible. But on executing, it has a lot of problems because it is so complex and wide, so the enterprise which knows necessity of SCM, they don't have a total execution solution. On this paper, we will focus a proposal of alternatives with reasonableness of manufacturing and making a profit of sales department like most of enterprises to overcome carelessness and unready strategy of investment. And we will find a element through a analysis of cases, a statistical method of effective SCM, and actual survey to propose a alternative proposal. And, we will prove the facts that it could be a guiding company which has a ability of cooperation with entities through the founding of supply chain.

• Asia pacific journal of information systems
• /
• v.8 no.3
• /
• pp.51-73
• /
• 1998

This paper is to evaluate the application potentials of data mining in the areas of Supply Chain Management (SCM) and to suggest the architectures of Decision Support Systems (DSS) that support data mining activities. We first briefly introduce data mining and review the recent literatures on SCM and then evaluate data mining applications to SCM in three aspects: marketing, operations management and information systems. By analyzing the cases about pricing models in distribution channels, demand forecasting and quality control, it is shown that artificial intelligence techniques such as artificial neural networks, case-based reasoning and expert systems, combined with traditional analysis models, effectively mine the useful knowledge from the large volume of SCM data. Agent-based information system is addressed as an important architecture that enables the pursuit of global optimization of SCM through communication and information sharing among supply chain constituents without loss of their characteristics and independence. We expect that the suggested architectures of intelligent DSS provide the basis in developing information systems for SCM to improve the quality of organizational decisions.

• Journal of the Korea Safety Management & Science
• /
• v.4 no.1
• /
• pp.115-129
• /
• 2002

On a conceptual point of SCM, as a order of development, physical distribution, logistics management, basic supply chain management and advanced supply chain management etc. they are magnifying gradually, confusing with information and analysis techniques which seems possible. But on executing, it has a lot of problems because it is so complex and wide, so the enterprise which knows necessity of SCM, they don't have a total execution solution. On this paper, we will focus a proposal of alternatives with reasonableness of manufacturing and making a profit of sales department like most of enterprises to overcome carelessness and unready strategy of investment. And we will find a element through a analysis of cases, a statistical method of effective SCM, and actual survey to propose a alternative proposal. And, we will Prove the facts that it could be a guiding company which has a ability of cooperation with entities through the founding of supply chain, On the conclusion, we will show the variation which influences for capacity entities and alternative proposal to define a element which influence for a cause and effect basically.

• Bulletin of the Korean Chemical Society
• /
• v.19 no.2
• /
• pp.178-183
• /
• 1998

Carbon-13 CP-MAS NMR techniques were used to investigate dynamics of new combined type liquid crystalline polymers, poly[oxy-1,4-phenyleneoxy-2-{6-(4-(4-butylphenylazo)phenoxy)hexyloxy}terephthaloyl] and poly[oxy-1,4-phenyleneoxy-2-{10-(4-(4-butylphenylazo)phenoxy)decyloxy}terephthaloyl]. Noticeable mobility change of either aromatic groups or methylene groups is not detected between 25 ℃ and 82 ℃ from 13C spinlattice relaxation time in the rotating frame (T1ρ(C)) and contact time array experiments. However, line shape analysis shows the increase of mobility of methylene carbons in poly[oxy-1,4-phenyleneoxy-2-{6-(4-(4-butylphenylazo)phenoxy)hexyloxy}terephthaloyl] at higher temperature. The dynamics of side chanis does not seem to be affected in our experimental temperature range by the length of aliphatic chain which is connecting the side chain group to the main chain.

• The Journal of Bigdata
• /
• v.1 no.2
• /
• pp.65-78
• /
• 2016

In the rapid change of business environment, it is crucial that several companies with core competence cooperate together in order to deliver competitive products to the market faster. Thus a lot of companies are participating in supply chains and SCM (Supply Chain Management) become more important. To efficiently manage supply chains, the analysis of data from SCM systems is required. In this paper, we explain how to analyze SCM related data with process mining techniques. After discussing the data requirement for process mining, several process mining techniques for the data analysis are explained. To show the applicability of the techniques, we have performed a case study with a company in South Korea. The case study shows that process mining is useful tool to analyze SCM data. On specifically, an overall process, several performance measures, and social networks can be easily discovered and analyzed with the techniques.

• Korean Journal of Construction Engineering and Management
• /
• v.23 no.2
• /
• pp.3-15
• /
• 2022

In this study, we develop a simulation model for Supply Chain Management (SCM) of modular construction based steel bridge. To this end, first, Factory Production/Site Construction system data for the steel bridge construction were collected, and supply chain, entities, resources, processes were defined based on the collected data. After that, a steel bridge supply chain simulation model was developed by creating data, flowchart, and animation modules using Arena software. Finally, verification and validation of the model were performed by using animation check, extreme condition check, average value test, Little' s law test, and actual case value test. As a result, the developed simulation model appropriately expressed the processes and characteristics of the steel bridge supply chain without any logical errors, and provided accurate performance evaluation values for the target system. In the future, we expect that the model will faithfully play a role as a performance evaluation platform in developing management techniques for optimally operating the steel bridge supply chain.