• Journal of IKEEE
• /
• v.26 no.3
• /
• pp.389-395
• /
• 2022

With the evolution of technology, cyber physical systems (CPSs) are being upgraded, and new types of cyber attacks are being discovered accordingly. There are many forms of cyber attack, and all cyber attacks are made to manipulate the target systems. A representative system among cyber physical systems is a cyber physical power system (CPPS), that is, a smart grid. Smart grid is a new type of power system that provides reliable, safe, and efficient energy transmission and distribution. In this paper, specific types of cyber attacks well known as false data injection attacks targeting state estimation and energy distribution of smart grid, and protection strategies for defense of these attacks and dynamic monitoring for detection are described.

• Journal of Distribution Science
• /
• v.19 no.8
• /
• pp.69-80
• /
• 2021

Purpose: This study's purpose is to explore the relationship between entrepreneurial marketing orientation on new product development performance via marketing and innovation capabilities. Research design, data, and methodology: This research has applied a survey method which involved 159 respondents from food retailers among Michelin Guide Restaurants in Thailand. The literature's existing measurement scales were used to operationalize the constructs proposed in this study. The analyses were conducted using Partial Least Squares-Structural Equation Modeling (PLS-SEM) to test the hypotheses. Results: The results have shown that new product development performance received positive and direct impacts from entrepreneurial marketing orientation, particularly in three dimensions: customer value orientation, opportunity-driven initiatives, and leveraged resources. Likewise, new product development performance received a positive, indirect impact from opportunity-driven initiatives, risk management, customer value orientation, and innovation that is focused on marketing and innovation capabilities. Conclusions: The results are useful for Thai food retailers as to strategy formulation in order to attract tourists from all over the world to tourist destinations in Thailand. Therefore, this empirical study is extremely important for domestic economic development and the international economy. These findings provide theoretical and managerial contributions for developing competitive strategies which will lead to sustainable business practices, as well as for providing future research directions.

• The Journal of Industrial Distribution & Business
• /
• v.14 no.3
• /
• pp.1-8
• /
• 2023

Purpose: One of the eldest businesses in the realm is the real estate market and it has been dominated by offline sales and marketing tactics for decades. However, the home-buying process today is made simpler and more effective for purchasers thanks to internet platforms. This study is to investigate in terms of advantage of online platform of the real estate and its marketing strategy. Research design, data and methodology: For checking and collecting proper literature resources, content literature investigation used and it would be fitted for this research based on numerous prior studies in the realm of marketing strategies and online platforms of real state. Results: Online real estate platforms provides the availability of a broad range of properties for buyers and sellers, and connects buyers and sellers with nearby real estate mediators and agents. Finally, we figured out that utilizing real estate agents might have a huge positive impact on real estate agents. Conclusions: As online platforms become increasingly popular for real estate professionals, practitioners must be aware of the changes in technology and the resulting implications for how they market and sell property. Future research should explore the effect of online platforms on customer satisfaction and the overall accomplishment of real estate businesses.

• Journal of Distribution Science
• /
• v.21 no.3
• /
• pp.83-92
• /
• 2023

Purpose: An omnichannel strategy creates a consistent brand image and customer experience across all channels, making it easier for customers to interact with a business and share information. This research aimed to investigated the relationship between consumers' information-sharing intention and their omnichannel experiences. Research design, data, and methodology: Through an online survey conducted in Vietnam, the study obtained 915 responses. The study used Partial Least Square Structural Equation Modeling (PLS-SEM) to analyze research data and confirm proposed research hypotheses. Results: Research results indicated that information-sharing intention is affected by both online and offline customer experience, and at the same time, the study also confirmed that omnichannel's three characteristics (integration, individualization, interaction) positively impact on customer experience. Conclusions: From the research result, businesses may boost consumer trust and loyalty with the help of an omnichannel approach, which in turn increases customers' propensity to provide personally identifying information to the firm. One way to do this is to facilitate information exchange by delivering customized and relevant offers. Furthermore, companies show consumers the benefit of providing their data by utilizing it to enhance the customer experience.

• Journal of Research and Publication Ethics
• /
• v.3 no.2
• /
• pp.19-22
• /
• 2022

Purpose: The two (SCOPUS and SSCI) are the most reputed indexing databases in the world for social science area, and hence the most preferred by majority of researchers in filling the academia niche that may exist on any research topic This study aims to determine five key strategic tactics that the JIDB (Journal of Industrial Distribution & Business) can use to be indexed by SCOPUS and SSCI, following five main measures as discussed in main texts. Research design, data and methodology: The literature analysis which was selected by this study is appropriate to find out useful texts dataset and this analysis provides adequate evidence for previous literature collection. Results: From the current literature analysis, this study suggests five strategic tactics for JIDB to be a journal indexed in SCOPUS and SSCI. The five tactics are follows: (1) Understanding the Selection Process, (2) Content and Relevance, (3) Finding a Niche Technical Standards, (4) Clarity in Formatting and Structure, and (5) Citations and Publication Considerations. Conclusions: This study concludes that the five discussed tactics are all imperative in aiding the research and if JIDB follows all the select strategies, it will be bound to succeed for indexing in the two databases.

• The Journal of Industrial Distribution & Business
• /
• v.13 no.11
• /
• pp.21-30
• /
• 2022

Purpose: This study investigates the moderating effect of mindset types on experience and perceived quality in virtual reality (VR) contexts and identify the relationships among mindset types, experience, perceived quality, attitude, and purchase. Research design, data and methodology: Using a survey, a total of 250 participants were recruited from South Korea. Participants were asked whether they have been VR users who had experienced VR before participating in the survey. We used the partial least squares method to test the hypotheses based on structural equation modeling. Results: The results show that experience, including spatial, reality, and sensory experiences, has positive effects on perceived quality. Additionally, the mindset moderates the relationship between experience and perceived quality such that consumers with experience are more likely to have greater perceived quality when they have a growth mindset compared to those with a fixed mindset. The VR context's perceived quality exerts positive effects on attitude toward the VR context, while attitude has positive effects on purchase intention. Conclusion: We suggest that the consumer's mindset might work as an essential moderating factor that influences the relationship between experience and perceived quality. Our findings can help marketers plan promotion strategies more effectively and cater to the different objectives of their contexts.

• The Journal of Industrial Distribution & Business
• /
• v.13 no.2
• /
• pp.17-31
• /
• 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
• /
• v.45 no.3
• /
• pp.18-30
• /
• 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.

• The Journal of Industrial Distribution & Business
• /
• v.13 no.8
• /
• pp.9-18
• /
• 2022

Purpose: K-beauty products industry trends, estimates and dynamics are examined in this study to discover a potential possibility for growth. There is a thorough examination of the elements that drive and impede the expansion of the K-beauty industry. This study aims to investigate marketing strategy of K beauty product to enhance economic growth in South Korea. Research design, data and methodology: This study used one of the most famous approach for analyzing the current literature which is a PRISMA (Process and Systematic Reviews and Meta-Analyses) method. This method maps out the number of records identified, the included and the excluded ones with the reasons for the exclusion. The technique clearly states the research problem and the appropriate scope. Results: The theoretical findings of prior literature indicates K-beauty companies should retain physical locations despite the trend toward online commerce, in order to guarantee that they meet the demands of different customers and enhance customer experiences to develop trust and loyalty. Conclusions: The findings of this research are of academic importance since they provide light on customer preferences for new K-beauty products. While past research has often ignored certain kinds of influencers, this study emphasized the need of considering influencers and certain product exposure strategies together, which has major academic consequences.

• The Journal of Industrial Distribution & Business
• /
• v.14 no.9
• /
• pp.1-11
• /
• 2023

Purpose: The cosmetics industry is dynamic and constantly evolving. The hair and beauty field is characterized by being very sensitive to social trends. Therefore, it is necessary to understand the intellectual structure of the social function of hair beauty and to analyze the research and industrial trends related to the beauty field. This study is a literature review and presents specific and practical development plans and growth strategies for the hair care market. Research design, data, and methodology: This review study was conducted by searching PubMed, Google Scholar, Riss, Scopus, and Research Gate. We prepared this by referring to keywords such as the beauty care industry, sustainable development, hair care, hair cosmetics, and hair care market. A total of 468 papers were searched, of which 60 were finally included in this study on the PRISMA flowchart. Results: For good consumption and continuous development of hair cosmetics, it will be necessary to clearly understand the beauty and cosmetic needs of various generations. Conclusions: As income level improvement and quality of life become more important, Korea's beauty industry is attracting a lot of attention as a growth industry that transcends gender and age amid social and cultural development, and its importance is expected to grow in the future.