• Title/Summary/Keyword: information needs analysis

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Study on Characteristics of Urban Planning System and Design Guidelines in Singapore (싱가포르 도시계획체계와 디자인가이드라인의 특징에 관한 연구)

  • Lee, Taeyoung
    • Journal of Urban Science
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    • v.11 no.1
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    • pp.37-47
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    • 2022
  • Even if Korea has established various legal guidelines as well as plans for the purpose of systematic management of urban citycapes, various problems have been pointed out, such as a decrease in operational efficiency because the legal framework is not clearly defined and the guidelines do not fully reflect regional characteristics. In the midst of this, Singapore is being mentioned as a representative example of enhancing international competitiveness by forming an outstanding urban cityscape through successful urban planning and operating system. Therefore, this study aims to suggest a direction for the improvement of Korea's urban planning and design guidelines by investigating and analyzing the characteristics of Singapore's urban planning system and design guidelines. As a result of the research and analysis, it was concluded that Singapore's urban planning system was based on the unified planning and management system. In particular, the Singapore Urban Design Guidelines provide differentiated guidelines to maintain and strengthen regional characteristics based on linkage with higher-level plans as detailed practical guidelines, and were operated as flexible guidelines reflecting the changes of the times and the needs of members of society. It also provides a direction for the improvement of the Korean urban design system, such as to increase the executionablity of the plan and the efficiency of operation by utilizing various guidance and support policies, rational and simplified deliberation procedures, and allow a platform that enhances the accessibility and convenience of related information.

Effects of Omnichannel on Pleasure, Resistance, and Repurchase Intention

  • JUNG, Eun-A;KIM, Jung-Hee
    • Journal of Distribution Science
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    • v.20 no.3
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    • pp.95-106
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    • 2022
  • Purpose: This study aims to verify the effects of omnichannel characteristics on pleasure, resistance and repurchase intention in the omnichannel situation in order to provide the innovative commercial business. Research design, data and methodology: The study examined relations between research concepts centered on previous studies, set hypotheses, developed a research model, and verified the model through a questionnaire survey. A total of 297 questionnaires were used for the final analysis, excluding the questionnaires showing insincere or outliers. Results: First, Omnichannel showed multi-dimensional characteristics consisting of consistency, innovation, economy, and integration. Second, innovation and economic feasibility had a positive effect on pleasure. Third, only economic feasibility had a negative effect on user resistance. Fourth, consumers' shopping pleasure had a negative effect on user resistance. Fifth, repurchase intention of consumers was positively affected by innovation. Conclusions: This research contributed to extend academic framework of distribution research by examining causal relationship through adoption of economic and innovation factors as new characteristics from the integrated perspective beyond the research frame of the existing omnichannel distribution environment. Companies should provide meaningful experiences by resolving concerns about side effects caused by human-computer interaction and providing smart information that matches the products most suitable for consumer needs.

Design of Machine Learning Education Program for Elementary School Students Based on Sound Data (소리 데이터를 활용한 블록 기반의 초등 머신러닝 교육 프로그램 설계)

  • Ko, Seunghwan;Lee, Junho;Moon, Woojong;Kim, Jonghoon
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.7-11
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    • 2021
  • This study designs block-based machine learning education program using sound data that can be easily applied in elementary schools. The education program designed its goals and directions based on the results of a demand analysis conducted on 70 elementary school teachers in advance according to the ADDIE model. Scratch in Machine Learning for Kids was used for block-based programming, and the education program was designed to discover regularity of data values using sound data, learn the principles of artificial intelligence, and improve computational thinking in the programming process. In a later study, the education program needs to verify what changes there are in attitudes and computational thinking about artificial intelligence.

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AUTOMATIC AS-IS BIM EXTRACTION FOR SUSTAINABLE SIMULATION OF BUILT ENVIRONMENTS

  • Chao Wang;Yong K. Cho
    • International conference on construction engineering and project management
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    • 2013.01a
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    • pp.47-51
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    • 2013
  • Existing buildings now represent the greatest opportunity to improve building energy efficiency. Building performance analysis is becoming increasingly important because decision makers can have a better visualization of their building's performance and quickly make the solution for improving building energy efficiency and reducing environmental impacts. Nowadays, building information models (BIMs) have been widely created during the design phase of new buildings, and it can be easily imported to third party software to conduct various analyses. However, a BIM is not always available for all existing buildings. Even if a BIM is available during the design and construction phases, it is very challenging to keep updating it while a building is aged. A manual process to create or update a BIM is very time consuming and labor intensive. A laser scanning technology has been a popular tool to create as-is BIM. However it still needs labor-intensive manual processes to create a BIM out of point clouds. This paper introduces automatic as-is simplified BIM creation from point clouds for energy simulations. A framework of decision support system that can assist decision makers on retrofits for existing buildings is introduced as well. A case study on a residential house was tested in this study to validate the proposed framework, and the technical feasibility of the developed system was positively demonstrated.

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Employee Engagement in State Owned Enterprises. A Literature Review Paper

  • Ileen SAVO;Ranzi RUSIKE;Stephen SENA
    • The Journal of Industrial Distribution & Business
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    • v.15 no.2
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    • pp.19-30
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    • 2024
  • Purpose: This paper provides both quantitative and qualitative literature review on employee engagement in State Owned Enterprises (SOEs) as portrayed in literature and offers more insight into the concept on how it can be optimised. Research design, data and methodology: The study adopted a desktop research methodology. A review and analysis of both theoretical and empirical research and articles which are relevant to employee engagement in SOEs was conducted. Only secondary information gathered through those articles and research was used to analyse and build literature review on employee engagement in SOEs. Results: A literature review of both qualitative and quantitative research on employee engagement in organisations generally and in SOEs particularly was done, and it indicated the positive relationship between employee engagement and organisational performance. From the study, it is evident that employee engagement is not optimal around the world, therefore it is an area which needs more attention. Hence, this study proffered strategies for enhancing employee engagement in SOEs. Conclusions: This study proffers strategies for optimising employee engagement in SOEs. These are brand image, work environment, management and leadership characteristics, training and development opportunities, performance management, work life balance, effective communication and Kahn's three factors of meaningfulness, safety and availability. These strategies are essential in optimising employee engagement as portrayed in the reviewed literature.

A Case Study on Simplification Strategies of Logo Design from the Perspective of Gestalt Psychology

  • Cui Hongxiao;Zhang Qingfeng;Zhang Yu
    • International Journal of Advanced Culture Technology
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    • v.12 no.2
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    • pp.205-214
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    • 2024
  • This paper delves into the application of Gestalt psychology principles in logo design. It analyzes how these principles refine design elements to bolster the efficiency and impact of visual communication. Drawing from Gestalt psychology perspectives, the theoretical foundations and application methods of logo design simplification strategies are discussed. Through the analysis of Gestalt psychology effects in various types and styles of logo designs, this study compares the applicability and differences of logo design simplification strategies under different cultural and social contexts. Furthermore, it evaluates their role and value in enhancing the innovativeness and communicative impact of logo designs. The findings suggest that strategies informed by Gestalt psychology significantly improve the organization rules within logo designs, such as the relationship between figure and ground, proximity, similarity, and continuity. Thereby they enhance perceptual clarity, cognitive load, and aesthetic satisfaction. Moreover, these strategies promote creative thinking and problem-solving abilities in logo design. The results indicate that simplified design methods not only enhance aesthetic appeal but also improve the adaptability and recognizability of logos across different media and environments. This approach aligns with the minimalist and flat design trends of today's information age, meeting the evolving needs and aesthetic preferences of consumers.

Genetic Diagnosis of Inherited Metabolic Disorders using Next-Generation Sequencing (차세대 염기서열분석을 이용한 유전성 대사질환의 유전진단)

  • Chang-Seok Ki
    • Journal of The Korean Society of Inherited Metabolic disease
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    • v.23 no.2
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    • pp.1-7
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    • 2023
  • Inherited metabolic disorders (IMD) are a group of disorders involving various metabolic pathways. Genetic diagnosis of IMD has been challenging because of extremely heterogeneous nature and extensive laboratory and/or phenotype overlap. Conventional genetic diagnosis was a gene-by-gene approach that needs a priori information on the causative genes that might underlie the IMD. Recent implementation of next-generation sequencing (NGS) technologies has changed the process of genetic diagnosis from a gene-by-gene approach to simultaneous analysis of targeted genes possibly associated with the IMD using gene panels or using whole exome/genome sequencing (WES/WGS) covering entire human genes. Clinical NGS tests can be a cost-effective approach for the rapid diagnosis of IMD with genetic heterogeneity and are becoming standard diagnostic procedures.

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Importance-Performance Analysis of Operation of Specialized Complexes for Horticultural Production (원예전문생산단지 운영에 대한 중요도-만족도 분석)

  • Hong, Na-Kyoung;Rhee, Zae-Woong;Kim, Tae-Kyun
    • Current Research on Agriculture and Life Sciences
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    • v.33 no.1
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    • pp.25-31
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    • 2015
  • This study investigated the operation criteria of specialized complexes for horticultural production reflecting the farmers' preferences. First, the analysis of the communal activity included six factors: the group purchase of consumables for common activity, group purchase of the greenhouse apparatus, cooperative seed raising, use of a common air conditioning and heating system, cooperative shipping, and soil examination and certification system. The results of the Importance-Performance analysis can be summarized as follows. The factors requiring good management included the group purchase of consumables for common activity, group purchase of the greenhouse apparatus, and cooperative shipping. The factors with a lower priority included cooperative seed raising and the use of a common air conditioning and heating system. While the importance of the soil examination and certification system was low, the satisfaction was high, so this factor needs to be managed to avoid overkill. Second, the analysis of information exchange and education included six factors: production technique information, greenhouse facility management information, distribution-related information, production technique education, greenhouse facility management education, and distribution-related education. The results of the Importance-Performance analysis can be summarized as follows. The factor of production technique education was the most important determinant, plus the factors requiring good management included production technique information, greenhouse facility management information, and distribution-related information. The factors with a lower priority included greenhouse facility management education and distribution-related education. Therefore, to enhance productivity through facility modernization, the scaling up and creation of more specialized horticulture complexes are recommended as policy measures to gain export competitiveness. As the Korean government is expected to expand the scale of specialized horticulture complexes, the results of this paper can be widely utilized.

A study on the CRM strategy for medium and small industry of distribution (중소유통업체의 CRM 도입방안에 관한 연구)

  • Kim, Gi-Pyoung
    • Journal of Distribution Science
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    • v.8 no.3
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    • pp.37-47
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    • 2010
  • CRM refers to the operating activities that always maintain and promote good relationship with customers to ultimately maximize the company's profits by understanding the value of customers to meet their demands, establishing a strategy which may maximize the Life Time Value and successfully operating the business by integrating the customer management processes. In our country, many big businesses are introducing CRM initiatively to use it in marketing strategy however, most medium and small sized companies do not understand CRM clearly or they feel difficult to introduce it due to huge investment needed. This study is intended to present CRM promotion strategy and activities plan fit for the medium and small sized companies by analyzing the success factors of the leading companies those have already executed CRM by surveying the precedents to make the distributors out of the industries have close relation with consumers to overcome their weakness in scale and strengthen their competitiveness in such a rapidly changing and fiercely competing market. There are 5 stages to build CRM such as the recognition of the needs of CRM establishment, the establishment of CRM integrated database, the establishment of customer analysis and marketing strategy through data mining, the practical use of customer analysis through data mining and the implementation of response analysis and close loop process. Through the case study of leading companies, CRM is needed in types of businesses where the companies constantly contact their customers. To meet their needs, they assertively analyze their customer information. Through this, they develop their own CRM programs personalized for their customers to provide high quality service products. For customers helping them make profits, the VIP marketing strategy is conducted to keep the customers from breaking their relationships with the companies. Through continuous management, CRM should be executed. In other words, through customer segmentation, the profitability for the customers should be maximized. The maximization of the profitability for the customers is the key to CRM. These are the success factors of the CRM of the distributors in Korea. Firstly, the top management's will power for CS management is needed. Secondly, the culture across the company should be made to respect the customers. Thirdly, specialized customer management and CRM workers should be trained. Fourthly, CRM behaviors should be developed for the whole staff members. Fifthly, CRM should be carried out through systematic cooperation between related departments. To make use of the case study for CRM, the company should understand the customer and establish customer management programs to set the optimal CRM strategy and continuously pursue it according to a long-term plan. For this, according to collected information and customer data, customers should be segmented and the responsive customer system should be designed according to the differentiated strategy according to the class of the customers. In terms of the future CRM, integrated CRM is essential where the customer information gathers together in one place. As the degree of customers' expectation increases a lot, the effective way to meet the customers' expectation should be pursued. As the IT technology improved rapidly, RFID (Radio Frequency Identification) appears. On a real-time basis, information about products and customers is obtained massively in a very short time. A strategy for successful CRM promotion should be improving the organizations in charge of contacting customers, re-planning the customer management processes and establishing the integrated system with the marketing strategy to keep good relation with the customers according to a long-term plan and a proper method suitable to the market conditions and run a company-wide program. In addition, a CRM program should be continuously improved and complemented to meet the company's characteristics. Especially, a strategy for successful CRM for the medium and small sized distributors should be as follows. First, they should change their existing recognition in CRM and keep in-depth care for the customers. Second, they should benchmark the techniques of CRM from the leading companies and find out success points to use. Third, they should seek some methods best suited for their particular conditions by achieving the ideas combining their own strong points with marketing. Fourth, a CRM model should be developed that will promote relationship with individual customers just like the precedents of small sized businesses in Switzerland through small but noticeable events.

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A Study on the Intelligent Quick Response System for Fast Fashion(IQRS-FF) (패스트 패션을 위한 지능형 신속대응시스템(IQRS-FF)에 관한 연구)

  • Park, Hyun-Sung;Park, Kwang-Ho
    • Journal of Intelligence and Information Systems
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    • v.16 no.3
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    • pp.163-179
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    • 2010
  • Recentlythe concept of fast fashion is drawing attention as customer needs are diversified and supply lead time is getting shorter in fashion industry. It is emphasized as one of the critical success factors in the fashion industry how quickly and efficiently to satisfy the customer needs as the competition has intensified. Because the fast fashion is inherently susceptible to trend, it is very important for fashion retailers to make quick decisions regarding items to launch, quantity based on demand prediction, and the time to respond. Also the planning decisions must be executed through the business processes of procurement, production, and logistics in real time. In order to adapt to this trend, the fashion industry urgently needs supports from intelligent quick response(QR) system. However, the traditional functions of QR systems have not been able to completely satisfy such demands of the fast fashion industry. This paper proposes an intelligent quick response system for the fast fashion(IQRS-FF). Presented are models for QR process, QR principles and execution, and QR quantity and timing computation. IQRS-FF models support the decision makers by providing useful information with automated and rule-based algorithms. If the predefined conditions of a rule are satisfied, the actions defined in the rule are automatically taken or informed to the decision makers. In IQRS-FF, QRdecisions are made in two stages: pre-season and in-season. In pre-season, firstly master demand prediction is performed based on the macro level analysis such as local and global economy, fashion trends and competitors. The prediction proceeds to the master production and procurement planning. Checking availability and delivery of materials for production, decision makers must make reservations or request procurements. For the outsourcing materials, they must check the availability and capacity of partners. By the master plans, the performance of the QR during the in-season is greatly enhanced and the decision to select the QR items is made fully considering the availability of materials in warehouse as well as partners' capacity. During in-season, the decision makers must find the right time to QR as the actual sales occur in stores. Then they are to decide items to QRbased not only on the qualitative criteria such as opinions from sales persons but also on the quantitative criteria such as sales volume, the recent sales trend, inventory level, the remaining period, the forecast for the remaining period, and competitors' performance. To calculate QR quantity in IQRS-FF, two calculation methods are designed: QR Index based calculation and attribute similarity based calculation using demographic cluster. In the early period of a new season, the attribute similarity based QR amount calculation is better used because there are not enough historical sales data. By analyzing sales trends of the categories or items that have similar attributes, QR quantity can be computed. On the other hand, in case of having enough information to analyze the sales trends or forecasting, the QR Index based calculation method can be used. Having defined the models for decision making for QR, we design KPIs(Key Performance Indicators) to test the reliability of the models in critical decision makings: the difference of sales volumebetween QR items and non-QR items; the accuracy rate of QR the lead-time spent on QR decision-making. To verify the effectiveness and practicality of the proposed models, a case study has been performed for a representative fashion company which recently developed and launched the IQRS-FF. The case study shows that the average sales rateof QR items increased by 15%, the differences in sales rate between QR items and non-QR items increased by 10%, the QR accuracy was 70%, the lead time for QR dramatically decreased from 120 hours to 8 hours.