• Journal of Distribution Science
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• v.22 no.6
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• pp.107-114
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• 2024

Purpose: The current research investigates historical and future trends of tourist distribution channels in the tourism services business. The research examines historical patterns, current shifts, and new technologies in electricity distribution to offer insight into the distribution dynamics and advice for companies and regulators. Research design, data and methodology: The research in this case specifically employed the PRISMA approach when it comes to the data collection and research methodology. (PRISMA). The process is specifically made up of four steps, such as (1) Identification of Relevant Studies, (2) Screening and Selection Procedures, (3) Data Synthesis and Analysis, and (4) Reporting of Findings. Results: The fast-changing technology offers all opportunities to innovate the sector of tourism services. These upcoming technologies are not just reconstructing the way customers interact and operate but they are also creating room for development. Besides "the utilization of new technologies such as artificial intelligence, augmented reality, virtual reality, and blockchain, the current state of tourism distribution channels also implies some other possible consequences. Conclusions: These research results show that we should not be reluctant about adopting new technologies, we should expand direct booking systems, promote eco-friendly tourism, and use data analytics in order to provide personalized experiences.

• Asia-Pacific Journal of Business
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• v.3 no.2
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• pp.8-15
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• 2012

Mobile Entertainment is the new era in mobile communication. Mobile Entertainment service is a combination of games, music, videos, chatting and telecommunication which has created a wide market in India. There is a variation between male and female customers towards Mobile Entertainment services. This study is aimed at analyzing gender impact of attitude, subjective norm, perceived behaviour control intention and behaviour towards mobile entertainment services. The Theory of planned Behaviour (TPB) provided a framework. Total 566 male and 376 female mobile users of different age groups participated in the research. The data analysis was conducted in three-stages. First, reliability tests were performed. Upon satisfactory results, confirmatory factor analysis (CFA) is used to analysis convergent, concurrent and discriminant validity of the model. Once the model was validated Structural Equation Model (SEM) Multi-group analysis is used to find the impact of gender behaviour towards Mobile entertainment services. The results of the study confirmed that the model is viable in predicting variation in gender impact on mobile entertainment services. The findings have revealed that attitude, perceived behaviour control and intention has a significant impact on behaviour to use mobile entertainment but subjective norm has no significant impact on behaviour to use mobile entertainment.

• Journal of the Korean Society for information Management
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• v.35 no.4
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• pp.7-36
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• 2018

This study aimed to analyze the content of Records Data Management (RDM) training programs provided by 51 out of 121 university libraries in North America that implemented RDM services, and to provide implications from the results. For the content analysis, 317 titles of classroom training programs and 42 headings at the highest level from the tables of content of online tutorials were collected and coded based on 12 data literacy competencies identified from previous studies. Among classroom training programs, those regarding data processing and analysis competency were offered the most. The highest number of the libraries provided classroom training programs in relation to data management and organization competency. The third most classroom training programs dealt with data visualization and representation competency. However, each of the remaining 9 competencies was covered by only a few classroom training programs, and this implied that classroom training programs focused on the particular data literacy competencies. There were five university libraries that developed and provided their own online tutorials. The analysis of the headings showed that the competencies of data preservation, ethics and data citation, and data management and organization were mainly covered and the difference existed in the competencies stressed by the classroom training programs. For effective RDM training program, it is necessary to understand and support the education of data literacy competencies that researchers need to draw research results, in addition to competencies that university librarians traditionally have taught and emphasized. It is also needed to develop educational resources that support continuing education for the librarians involved in RDM services.

• Journal of Soil and Groundwater Environment
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• v.27 no.4
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• pp.1-9
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• 2022

This study was conducted to supplement new-normal strategies on management plans of rural groundwater resources in the era of Post COVID-19. Global outbreak of COVID-19 has damaged across all areas including public policy, economics, industrial services, and others without exception, which has resulted in establishing new-normal strategies in order to restore balance and functions as for these areas. The new-normal ones were represented as enhancing preventative management on infectious diseases, expanding non face-to-face services, enhancing protective trades and food securities, and preparing growth policies on public services using the 4^th industrial revolution techniques. In this study, G-WASH_AD (Groundwater supply, sanitation, and hygiene with attraction and digitization) was suggested to be new-normal strategies on rural groundwater resources. The G-WASH_AD was consisted of three detailed action plans: a preventative plan on waterborne-diseases of groundwater (PP), a groundwater-tourism plan with rural heritage (GP), and an application plan of the 4^th industrial revolution techniques to groundwater facilities and its data (P4). The PP can contribute to protect human health from waterborne-diseases and minimize hazardous effects on crop cultivation. The GP accompanied with high-quality groundwater resources is able to strengthen rural tourism, to promote marketing activities on local agricultural products, and to increase household incomes of rural communities. The P4 can reinforce fast, comfortable, and scientific management on groundwater facilities and its data, creating a virtuous cycle between innovative management on groundwater and growth of technology related to it. Results of the G-WASH_AD strategies can encourage a green growth engine in field of rural groundwater management keeping up with Post COVID-19.

• Journal of Distribution Science
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• v.20 no.6
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• pp.57-66
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• 2022

Purpose: Business agility is an important key to survival for SMEs in Indonesia, especially during the COVID-19 pandemic. Indonesian local product distribution and service distribution are mostly served by SMEs. Agile businesses will be able to assist them in the proper distribution of products and services. This research examines how the direct and indirect influence of IT capabilities on business agility through organizational learning and business intelligence for small and medium enterprises in the distribution of Indonesian products and services. Research design, data and methodology: This research uses SEM method with SmartPLS tool. The sample of this research was conducted on small and medium enterprises in the distribution of Indonesian products and services. The sample obtained in this study was 202 SME owners or managers (strategic level). Results: Business intelligence plays a key role in improving business agility. The results of IT capability can directly and indirectly affect business agility through organizational learning. Conclusions: Business intelligence has the biggest role in increasing business agility in SMEs in Indonesia. IT capability has an indirect effect on business agility through organizational learning. The findings of this study prove that IT capabilities do not indirectly affect business agility through business intelligence.

• Journal of Electrical Engineering and information Science
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• v.2 no.6
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• pp.64-73
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• 1997

Network technology has been developed for very high-speed networking and multimedia data whose characteristics are the continuous and bursty transmission as well as a large amount of data. With this trend users wish to view the information about the application services as well as network devices and system hardware. However, it is rarely available for the users the information of performance or faults of the application services. Most of information is limited to the information related network devices or system hardware. Furthermore, users expect the best services without knowing the service environments in the network and there is no good way of delivering the service related problems and fault information of application services in a high speed network yet. In this paper we present a web-based application management system that we have developed for the past year. It includes a method to build an agent system that uses an existing network management standards, SNMP MIB and SNMP protocols. The user interface of the system is also developed to support visualization effects with web-based Java interface which offers a convenient way not only to access management information but also to control networked applications.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.3
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• pp.59-71
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• 2018

Social media has immense popularity among all services today. Data from social network services (SNSs) can be used for various objectives, such as text prediction or sentiment analysis. There is a great deal of Korean and English data on social media that can be used for sentiment analysis, but handling such huge amounts of unstructured data presents a difficult task. Machine learning is needed to handle such huge amounts of data. This research focuses on predicting Korean and English sentiment using deep forward neural network with a deep learning architecture and compares it with other methods, such as LDA MLP and GENSIM, using logistic regression. The research findings indicate an approximately 75% accuracy rate when predicting sentiments using DNN, with a latent Dirichelet allocation (LDA) prediction accuracy rate of approximately 81%, with the corpus being approximately 64% accurate between English and Korean.

• Journal of Information Technology Services
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• v.12 no.4
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• pp.109-124
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• 2013

Recently domestic companies have struggled to deal with different kinds of crisis accrued from various sources. However, their perception on the crisis and crisis management system are extremely vulnerable. In particular, although almost all companies have had many business related crisis, they have tended to ignore the crisis with simply considering it as unlucky and not to approach it provocatively in preparing some preventive measures and turning it into an opportunity due to the lack of recognizing the importance of risk management. In other words, domestic companies have not systematically prepared detailed plans for potential crisis, rather have tended to recognize the importance of having crisis management system after experiencing a detrimental crisis or accident. Furthermore research on the issue has conducted sparsely in the academic world. The purpose of this study was to investigate the differences among types of businesses in terms of the degree of crisis experienced previously, the perception on the importance of crisis management system, the level of crisis management implementation, and the areas of crisis management being focused in the future. Usable data was collected from 201 companies using an on-site survey. Data was analyzed with SPSS 21.0 using some descriptive statistics and a series of ANOVA (One-way Analysis of Variance). Results and implications were provided, along with some future research directions.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.272-275
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• 2004

Recently, the services using position information of moving objects is embossed. Theses services needs the moving objects databases to manage moving object data with efficiency. To build the moving object databases, we must develop the moving object engine to mange, store, and search the spatio temporal data of moving object. The moving object engine has to support query syntax to search data that suitable for user need like LBS, Telematics, ITS, vehicle management system. In this paper, we design and implement the moving object engine to support service with moving object data. The moving object engine is able to support system environment that users are able to get the moving object data easily even they don't know complex data structure.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.15
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• pp.6327-6332
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• 2014

National cancer registration reports provide a huge potential for identifying patterns and trends of important policy, research, prevention and treatment significance. As summary reports written on an annual basis, the China Cancer Registry Annual Reports (CCRARs) fall short from fully addressing their potential. This paper attempts to explore part of the patterns and trends hidden behind published CCRARs. It extracted data for cancer incidence rates (IRs) and mortality rates (MRs) for 2004, 2006 and 2009 from relevant CCRARs and portrayed 4 kinds of indicators in line graphs. The study showed that: a) all of the line graphs of age-specific IRs and MRs characterized typical "growth curves or histogram"; b) graphs of IRs and MRs for males and urban areas had higher peaks than that for females and rural regions; c) most of the line graphs of IR/MR ratios comprised a starting peak, a secondary peak and a decreasing tail and the secondary peaks for females and urban areas were higher than those for males and rural areas; d) most of the urban versus rural IR ratios valued above one, but most the urban versus rural MR ratios, below one; e) the accumulative IRs and MRs showed a stable increasing trend from 2004 to 2009 for urban areas, but mixed for rural regions.