• Title/Summary/Keyword: Practical Management

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A Design-related Information Processing Model for Brand Communication in Retail Spaces

  • LEE, Jeongmin;CHU, Wujin;YI, Jisu
    • Journal of Distribution Science
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    • v.20 no.6
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    • pp.109-123
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    • 2022
  • Purpose: This research presents a practical tool aimed at increasing collaboration between designers and marketers for effective retail space branding. We present a design-related information processing model (DIP Model), which is a schematic map that includes cognitive theories which have design applications to retail space branding. Research design, data and methodology: Through literature review and practitioner opinion survey, 43 theories pertaining to the brand communication in retail spaces were selected, and design applications of the theories were analysed through field trips to stores of global brands. Results: The DIP Model consists of two axes: the information processing axis (i.e., encoding vsretrieval) and the regulatory focus axis(i.e., promotion vs prevention). Theories related to information processing axis are theories that facilitate the encoding and retrieval of information as intended by the company. Theories related to regulatory focus axis are theories that reinforce positive cognition and prevent negative cognition regarding the brand. Conclusions: The DIP Model is developed as a tool to categorise cognitive theories that are applicable to the design of brand communication in retail spaces. As such, the model can provide a better understanding of the role of behavioural design, with the aim of building stronger brands in retail spaces.

Situational Relation of Job Crafting, Organizational Support, and Innovation Performance

  • Yu, Byung-Nam
    • Asia-Pacific Journal of Business
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    • v.12 no.2
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    • pp.25-37
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    • 2021
  • Purpose - This study analyzes the situational relationship between the components of job crafting and innovation performance, and based on this, suggests practical alternatives to the effect of the control variables of organizational support. Design/methodology/approach - For this survey, 350 questionnaires were distributed to Korean SME workers from October 5, 2020 to March 20, 2021, and 230 questionnaires were collected. In order to check the validity of the questionnaire, the questionnaire judged to be inappropriate in response was excluded. The recovery rate was 65.7%, and the effectiveness of the questionnaire was 82%. Structural equation model and hierarchical regression analysis are used to analyze those data. Findings - First, job enhancement through job redesign as well as organizational support is a key task in order to expect innovative results from field members. Innovative performance is not created by individual jobs, but is created between jobs and jobs, tasks and tasks, teams and teams, and departments and departments. This is why it is worth paying attention not to the functional approach, but to the interconnection structure of the process. Research implications or Originality - In this study, it was analyzed that structural job resource increase and social job resource increase, which are components of job crafting, had a positive effect on innovation performance, and that challenging job will had no significant effect. Challenging work will itself does not negatively affect innovation performance. Combining the survey and interview, field members who make up the majority of respondents say that they do not lack the will to work. They claim that there is no channel or opportunity to express or practice a challenging will.

Limit on transition of energy source for drone : Focusing on regulation and certification (드론 에너지원 전환의 한계 : 규제와 인증을 중심으로)

  • Sang Ik, Han
    • Journal of Digital Policy
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    • v.1 no.2
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    • pp.47-52
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    • 2022
  • The absolute dependence on GPS signals for positioning, unstable flight, and short flight time due to battery limitations are the major problems to extend the practical use of drones in the industry. In particular, the short flight time of about 20 minutes is a big issue to the use of drones, and to overcome this, the liquid hydrogen powered drone is being actively developed. However, the revision of the current regulation and certification system for liquid hydrogen powered drone has not been completed yet, making it difficult to test, certify, and commercialize the hydrogen powered drone, which eventually becomes a problem in pre-occupying the increasing drone market. In this paper, we analyze the development trends of hydrogen powered drone and provide the current issues on regulations and certification systems for hydrogen powered drone.

An Analysis of the Differences of the Self-Service Research Issues and Trends before and after COVID-19 Pandemic: A Bibliometrics Approach by Using Citespace (셀프서비스 연구 이슈와 추세에 대한 코로나-팬데믹 발생 전후 차이 분석: Citespace를 이용한 계량서지학적 접근)

  • Wu, Haoxi;Joon, Koh
    • Journal of Information Technology Services
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    • v.21 no.6
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    • pp.53-72
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    • 2022
  • As a trend of modern service industry, self-service has been widely concerned by all walks of life, but there is a lack of literature on systematic management of the overall research in this field. Recently, people's lifestyle has been forced to change due to the influence of COVID-19, while there have been some changes in the field of self-service research. Based on the Web of Science data source, this study takes the literature of self-service field before and after the outbreak of COVID-19 as the research object, and summarizes the development process, research status and future research trend of self-service field through the Citespace visualization tool. The research shows that firstly, academic circles continue to be enthusiastic about self-service field research, cooperation between countries is becoming more and more diversified. Secondly, the communication between researchers is becoming more and more intensive, and the cooperation between different disciplines gradually becomes the mainstream. Third, related research gradually shifted to the practical application of technology, the research perspective gradually shifted from the initial traditional retail perspective industries such as tourism services. Finally, the role of customer experience and participation behavior in self-service process is gradually emphasized.

The Effect of manager's communication Competency on organizational member's adaptive performance: Focusing on the mediating effect of positive psychological capital

  • Kim, Moon Jun
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.3
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    • pp.51-62
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    • 2022
  • This study tried to confirm the mediating effect of positive psychological capital on the relationship between the communication Competence of managers who are recognized as organizational members working in the company and the adaptive performance of the members. To this end, the research hypothesis established through the final 255 data was verified as follows using the SPSS 21.00 and AMOS 21.1 version statistical programs. First, the higher the manager's communication Competence, the higher the positive psychological capital of organizational members. Second, the higher the communication Competence of the manager, the higher the adaptive performance of the members. Third, as the positive psychological capital of organizational members improved, adaptation performance improved. Fourth, positive psychological capital showed a partial mediating effect between the manager's communication Competence and the member's adaptive performance. The results of this study empirically analyzed the relationship between manager's communication Competence and members' positive psychological capital assumption (+) on the improvement of organizational members' adaptive performance ability. This study has the meaning of the most important research in that it provides additional theoretical and practical implications in the face of insufficient research on factors affecting the adaptation performance of organizational members.

Effect of Agricultural Exports and Imports on Economic Growth in Bangladesh: A Study on Agribusiness Supply Chain

  • HASAN, Mostofa Mahmud;HOSSAIN, BM Sajjad;SAYEM, Md. Abu;AFSAR, Mahnaz
    • Journal of Distribution Science
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    • v.20 no.11
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    • pp.79-88
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    • 2022
  • Purpose: The purpose of this study was to determine the effect of agricultural exports and imports on economic growth in Bangladesh and propose an upgraded and customized model of the supply chain for agribusiness growth in Bangladesh to achieve plain sailing and systematic operation and financial gains at home and abroad. Research design, data, and methodology: All data in the research have been collected from secondary sources. Gross domestic product was used as the dependent variable and exports and imports of agricultural products were used as independent variables. Pairwise Granger causality was utilized to see the impact of the variable responsible for the economic growth in Bangladesh and the causal relationship between the variables analyzed was measured using Johansen co-integration test. Results: From the empirical analysis, the researchers observed that agricultural commodity imports and exports have a unidirectional impact on economic growth in Bangladesh and a long-run causal link with economic growth in Bangladesh. The suggested supply chain model of agribusiness aids in achieving smooth operations, systematic management, and monetary gains both domestically and internationally. Conclusions: This paper contributes to the development of a more effective and profitable agribusiness supply chain in Bangladesh systematically through their theoretical and practical implications.

Design of a Mutual Exclusion Algorithm in Mobile Distributed Systems (이동 분산 시스템에서 상호배제 알고리즘의 설계)

  • Park, Sung-Hoon
    • The Journal of the Korea Contents Association
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    • v.6 no.12
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    • pp.50-58
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    • 2006
  • The mutual exclusion (MX) paradigm can be used as a building block in many practical problems such as group communication, atomic commitment and replicated data management where the exclusive use of an object might be useful. The problem has been widely studied in the research community since one reason for this wide interest is that many distributed protocols need a mutual exclusion protocol. However, despite its usefulness, to our knowledge there is no work that has been devoted to this problem in a mobile computing environment. In this paper, we describe a solution to the mutual exclusion problem from mobile computing systems. This solution is based on the token-based mutual exclusion algorithm.

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A Study on Efficient Evidence-Based Training(EBT) Application Method (Focusing on Approved Training Organization for Pilot) (효율적인 증거기반훈련(EBT) 적용방안에 관한 연구 (조종사 전문교육기관을 중심으로))

  • Hak-keun Kim;Kyu-wang Kim
    • Journal of Advanced Navigation Technology
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    • v.27 no.1
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    • pp.23-35
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    • 2023
  • Evidence-based training (EBT) improves a pilot's competency and confidence based on the data(Evidence) from actual aircraft accidents, incidents, operations, and training for safe operation in the fast-paced and large-scale air transportation field. It is a training/assessment program that strengthens resilience for problem solving. As a way to apply this evidence-based training(EBT) to the educational system of ATO and to resolve the problems, I propose 3 improvement plans. They are evaluation criteria that apply the core competencies of EBT to the educational evaluation system, the way to improve the system for standardization of practical test examiners and instructors and also the ways to use Flight Simulation Training Devices(FSTD).

Cointegration based modeling and anomaly detection approaches using monitoring data of a suspension bridge

  • Ziyuan Fan;Qiao Huang;Yuan Ren;Qiaowei Ye;Weijie Chang;Yichao Wang
    • Smart Structures and Systems
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    • v.31 no.2
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    • pp.183-197
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    • 2023
  • For long-span bridges with a structural health monitoring (SHM) system, environmental temperature-driven responses are proved to be a main component in measurements. However, anomalous structural behavior may be hidden incomplicated recorded data. In order to receive reliable assessment of structural performance, it is important to study therelationship between temperature and monitoring data. This paper presents an application of the cointegration based methodology to detect anomalies that may be masked by temperature effects and then forecast the temperature-induced deflection (TID) of long-span suspension bridges. Firstly, temperature effects on girder deflection are analyzed with fieldmeasured data of a suspension bridge. Subsequently, the cointegration testing procedure is conducted. A threshold-based anomaly detection framework that eliminates the influence of environmental temperature is also proposed. The cointegrated residual series is extracted as the index to monitor anomaly events in bridges. Then, wavelet separation method is used to obtain TIDs from recorded data. Combining cointegration theory with autoregressive moving average (ARMA) model, TIDs for longspan bridges are modeled and forecasted. Finally, in-situ measurements of Xihoumen Bridge are adopted as an example to demonstrate the effectiveness of the cointegration based approach. In conclusion, the proposed method is practical for actual structures which ensures the efficient management and maintenance based on monitoring data.

On the Theoretical Solution and Application to Container Loading Problem using Normal Distribution Based Model (정규 분포 모델을 이용한 화물 적재 문제의 이론적 해법 도출 및 활용)

  • Seung Hwan Jung
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.45 no.4
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    • pp.240-246
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    • 2022
  • This paper introduces a container loading problem and proposes a theoretical approach that efficiently solves it. The problem is to determine a proper weight of products loaded on a container that is delivered by third party logistics (3PL) providers. When the company pre-loads products into a container, typically one or two days in advance of its delivery date, various truck weights of 3PL providers and unpredictability of the randomness make it difficult for the company to meet the total weight regulation. Such a randomness is mainly due to physical difference of trucks, fuel level, and personalized equipment/belongings, etc. This paper provides a theoretical methodology that uses historical shipping data to deal with the randomness. The problem is formulated as a stochastic optimization where the truck randomness is reflected by a theoretical distribution. The data analytics solution of the problem is derived, which can be easily applied in practice. Experiments using practical data reveal that the suggested approach results in a significant cost reduction, compared to a simple average heuristic method. This study provides new aspects of the container loading problem and the efficient solving approach, which can be widely applied in diverse industries using 3PL providers.