• The Journal of Industrial Distribution & Business
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• v.13 no.2
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• pp.17-31
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• 2022

Purpose: The purpose of this study is to analyze factors affected by the ICT utilization with perspectives of employees (Study 1) and customers (Study 2) that are rarely approached in previous studies. In particular, this study examined how proposed factors on ICT utilization affect employee satisfaction, organization performance, customer satisfaction, and purchasing decision making. Research design, data and methodology: This study conducted an online survey to measure the effects. Cronbach's alpha was applied to test reliability and factor analysis was applied to check validity. Multiple regression analysis and ANOVA were applied to test hypotheses. Results: The results of this study found that the effects of self-development and organizational innovation on employee satisfaction were significant for study 1, while the effects of product satisfaction, promotional offers, and customer communication on purchase decision making were significant for study 2. Conclusions:This study provides managerial and policy implications. At the management level, it is necessary to make specific strategies to improve employee and customer satisfaction and organization performance associated with the utilization of ICT. The results of this study suggest that better policy should be prepared by government to foster utilization of ICT infrastructure and to enhance better relationships with employees and customers.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.3
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• pp.18-30
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• 2022

Predicting remaining useful life (RUL) becomes significant to implement prognostics and health management of industrial systems. The relevant studies have contributed to creating RUL prediction models and validating their acceptable performance; however, they are confined to drive reasonable preventive maintenance strategies derived from and connected with such predictive models. This paper proposes a data-driven preventive maintenance method that predicts RUL of industrial systems and determines the optimal replacement time intervals to lead to cost minimization in preventive maintenance. The proposed method comprises: (1) generating RUL prediction models through learning historical process data by using machine learning techniques including random forest and extreme gradient boosting, and (2) applying the system failure time derived from the RUL prediction models to the Weibull distribution-based minimum-repair block replacement model for finding the cost-optimal block replacement time. The paper includes a case study to demonstrate the feasibility of the proposed method using an open dataset, wherein sensor data are generated and recorded from turbofan engine systems.

• International Journal of High-Rise Buildings
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• v.11 no.4
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• pp.287-300
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• 2022

Unconventional structures are getting more popular in recent days. Large-span roofs are used for many structures, such as airports, stadiums, and conventional halls. Identifying the pressure distribution and wind load acting on those structures is essential. This paper offers a collaborative study of computational fluid dynamics (CFD) simulations and wind tunnel tests for assessing wind pressure distribution for a building with a combined slender curved roof. The hybrid turbulence model, Improved Delayed Detached Eddy Simulation (IDDES), simulates the open terrain turbulent flow field. The wind-induced local pressure coefficients on complex roof structures and the turbulent flow field around the structure were thus calculated based upon open terrain wind flow simulated with the FLUENT software. Local pressure measurements were investigated in a boundary layer wind tunnel simultaneous to the simulation to determine the pressure coefficient distributions. The results predicted by CFD were found to be consistent with the wind tunnel test results. The comparative study validated that the recommended IDDES model and the vortex method associated with CFD simulation are suitable tools for structural engineers to evaluate wind effects on long-span complex roofs and plan irregular buildings during the design stage.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.6
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• pp.1004-1022
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• 2022

This study seeks to investigate K-fashion's external image by examining the trends in global media reporting. It applies Dynamic Topic Modeling (DTM), which captures the evolution of topics in a sequentially organized corpus of documents, and consists of text preprocessing, the determination of the number of topics, and a timeseries analysis of the probability distribution of words within topics. The data set comprised 551 online media articles on 'Korean fashion' or 'K-fashion' published on Google News between 2010 and 2021. The analysis identifies seven topics: 'brand look and style,' 'lifestyle,' 'traditional style,' 'Seoul Fashion Week (SFW) event,' 'model size,' 'K-pop,' and 'fashion market,' as well as annual topic proportion trends. It also explores annual word changes within the topic and indicates increasing and decreasing word patterns. In most topics, the probability distribution of the word 'brand' is confirmed to be on the increase, while 'digital,' 'platform,' and 'virtual' have been newly created in the 'SFW event' topic. Moreover, this study confirms the transition of each K-fashion topic over the past 12 years, along with various factors related to Hallyu content, traditional culture, government support, and digital technology innovation.

• Journal of Distribution Science
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• v.21 no.7
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• pp.65-71
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• 2023

Purpose: This study attempted to analyze the impacts of the backward linkage and output multipliers, and investigate the price fluctuation and the price forecast amongst the manufacturing sectors associated with food processing industrial output of Thailand. Research design, data and methodology: The Thailand Input-Output table with a size of 180 x 180 sectors from 2005, 2010, and 2015 was utilized while the secondary data of the time series from January 2002 to December 2021 were processed via a multiplicative model and Box-Jenkins model. Results: The backward linkage analysis indicates that canning and preserving of the meat sector majorly utilized the factors of production from the slaughtering sector; canning and preservation of fish and other seafoods sector largely used those factors from the ocean and coastal fishing sector; and the sugar sector used those of the sugarcane sector. Notably, the output multiplier analysis indicated that output multipliers of those 3 manufacturing sectors were highly increased; meanwhile the price fluctuation continually existed in all forms. Besides, the price forecast suggested that prices of chicken and sugarcane tended to be higher; whereas, the price of shrimp was unstable. Conclusions: Food processing industry contains the favorable components to be one of the industries of the future of Thailand.

• Journal of Distribution Science
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• v.22 no.3
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• pp.93-104
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• 2024

Purpose: Using green supply chain management (GSCM), the current study focuses on the fashion design industry as a central player in promoting an eco-conscious consumption culture by creating awareness of the need to produce and consume eco-friendly fashion products instead of only capitalizing on the shifting consumer tastes, preferences, and expectations. Research design, data and methodology: This study selected a PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) checklist as a research methodology. The purpose is the detailed and disinterested evaluation of all the published information related to the topic of the research. Results: This study suggests brief solutions of the GSCM based on the five categories of sustainable fashion activities that contribute to the development of eco-friendly fashion designs and marketing strategies. This strategy employed by firms to promote sustainable production and consumption is a major factor in enhancing consumers' environmental awareness. Conclusions: The study delves into how brands in the fashion design industry provide a platform for collective action by investing in educational campaigns and transparent communication, collaborating with various stakeholders to maximize awareness of the need for eco-conscious consumption and the availability of green fashion products. Practitioners should consider developing a comprehensive framework to assess the feasibility of different awareness strategies and purchase stimulation approaches.

• The Journal of Industrial Distribution & Business
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• v.15 no.4
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• pp.27-33
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• 2024

Purpose: Arts and cultural management are a field with unique meaning and significance. This study is uniquely based on the focus of arts and cultural management on social and cultural sustainability sets it apart from other related study fields. Through delving into arts and cultural management, one can quickly gain skills vis-à-vis creativity and innovation in traditional and emerging media platforms. Research design, data and methodology: The current researcher relied on the descriptive research design, arriving at and evaluating the findings. The descriptive research design was the most ideal because of the need to evaluate the various literature sources systematically and later describe them without undue influence. Results: This research's core finding of art and cultural management in the current literature may be split up four findings, such as (1) Art and Cultural Management is Fast Embracing Digital Innovations and Related Elements, (2) Data and Analytics in Art and Cultural Management, (3) Interdisciplinary Nature of Arts and Cultural Management Elements, and (4) Arts and Cultural Management Face Numerous Challenges that Define it and its Future. Conclusions: All in all, based on the literature findings, the present research concludes that It is incumbent upon the various stakeholders, such as the government, to prioritize the arts and cultural management field through adequate budgeting and allocation of money.

• The Journal of Industrial Distribution & Business
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• v.15 no.4
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• pp.1-9
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• 2024

Purpose: The purpose of this paper is to explore literature on performance management in order to get insight into how the concept could be optimised during VUCA times for better performance of organisations. Research design, data and methodology: The study adopted a desktop research methodology. Extensive literature review has been conducted from various sources such as journals, research papers, organizational reports, government reports, media reports and articles available on web and effort has been made to assimilate the knowledge body on the topic in the current paper. Literature that enhances understanding on managing performance during VUCA times was reviewed. Results: Solutions to optimise performance management in organisations during VUCA times were proffered and these include innovative planning, innovative monitoring, innovative training and development, innovative rating and innovative rewarding. Conclusions: The study proves that, performance management process should not be done the ordinary way during VUCA times, but innovatively. In this regard innovative performance management can optimise performance of organisations during VUCA period. The study recommends that a further quantitative study be done to test the suitability of each of the proposed ways of innovatively practicing each element of the performance management process across different industries, countries or sector.

• The Journal of Industrial Distribution & Business
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• v.15 no.4
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• pp.11-18
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• 2024

Purpose: The primary purpose of this research is to investigate the multidisciplinary effect of food delivery apps (FDAs) in urban hotels in the wake of the lockdown due to Covid-19 pandemic. Specifically, the study aims: To explore and scrutinize the primary shifts in customer behavior and preferences in modern urban hotels, and to explore and scrutinize the primary shifts in customer behavior and preferences in modern urban hotels. Research design, data and methodology: This study conducted a systematic literature review to gather evidence of the FDA's effect on customer behavior and the hospitality industry during the Covid-19 pandemic. Complying with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) principles guarantees a structured and transparent method to search the literature and its analysis. Results: The result based on the systematic review has indicated that the booming business of food delivery at home companies and changing consumer tastes prove the FDA's growing circuit in the hotel industry, thus demonstrating their ability and power to adapt to changing trends. Conclusions: Therefore, this study concludes that using FDA's platform, future hospitality managers have to focus on agility in operations, innovation, and technology integration to keep up with changing consumer trends and market conditions.

• Journal of Distribution Science
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• v.22 no.4
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• pp.105-114
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• 2024

Purpose : Due to the uncertainty of the global trade environment and the trade downturn, the shipping industry continues to face challenges. This study aims to investigate in-depth analysis of crisis overcoming strategies through case study of a company that is leader in the shipping and logistics industry. Research Desigh and Methodology : In order to conduct an in-depth analysis, a single case analysis was selected as a qualitative study. For this purpose, various secondary sources were used, and indirect interview data were also used. In this study, Maersk was selected because it has grown from a traditional shipping logistics company to a digital platform company. Results: Maersk has transformed itself into a comprehensive, digital logistics platform with several key strategies to respond to the long-term slump in the shipping industry. First, it leveraged Maersk's diversification and portfolio optimization strategy. Second, Maersk is transforming its logistics and transport processes through digitalization and technological innovation. Conclusion: Maersk, which is responding to the long-term recession facing the shipping industry, looked at how it has leveraged its strengths and explored new opportunities through a number of strategies and changes. This study provides insight into a digital logistics platform that will benefit the other companies as well.