• Korean Journal of Remote Sensing
• /
• v.34 no.1
• /
• pp.45-74
• /
• 2018

Landslide is a natural hazard that threats lives and properties in many areas around the world. Landslides are difficult to recognize, particularly in rainforest regions. Thus, an accurate, detailed, and updated inventory map is required for landslide susceptibility, hazard, and risk analyses. The inconsistency in the results obtained using different features selection techniques in the literature has highlighted the importance of evaluating these techniques. Thus, in this study, six techniques of features selection were evaluated. Very-high-resolution LiDAR point clouds and orthophotos were acquired simultaneously in a rainforest area of Cameron Highlands, Malaysia by airborne laser scanning (LiDAR). A fuzzy-based segmentation parameter (FbSP optimizer) was used to optimize the segmentation parameters. Training samples were evaluated using a stratified random sampling method and set to 70% training samples. Two machine-learning algorithms, namely, Support Vector Machine (SVM) and Random Forest (RF), were used to evaluate the performance of each features selection algorithm. The overall accuracies of the SVM and RF models revealed that three of the six algorithms exhibited higher ranks in landslide detection. Results indicated that the classification accuracies of the RF classifier were higher than the SVM classifier using either all features or only the optimal features. The proposed techniques performed well in detecting the landslides in a rainforest area of Malaysia, and these techniques can be easily extended to similar regions.

• The Journal of Industrial Distribution & Business
• /
• v.6 no.1
• /
• pp.27-35
• /
• 2015

Purpose - This research primarily assesses interactive quality in the service encounters of Ethiopian Telecom from the customer and contact personnel perspectives. Research design, data, and methodology - After reviewing the literature on service encounters and interactive quality, two separate questionnaires and structured personal interviews were conducted to collect the opinions of 400 customers and 100 employees of Ethiopian Telecom. The researchers used convenience sampling; the responses, measured on a five-point Likert-type scale, were analyzed through chi-square tests conducted on SPSS 17.0. Results - Regarding the outcome expected by customers, encounter effectiveness is very low. Regarding accessibility and materiality, the corporation's personnel are freely accessible, relatively well-dressed, and have access to sophisticated office equipment and physical facilities. Finally, with regard to agent satisfaction, the telecom's contact employees are shown to gain little professional satisfaction from service encounters. Conclusion - The study clearly presents the areas in which interactive quality strongly affects both telecom customers and employees; this will help the corporation take corrective action. This is of utmost contemporary importance for both practitioners and researchers.

• Journal of the Korean Geotechnical Society
• /
• v.19 no.2
• /
• pp.123-133
• /
• 2003

A practical statistical approach that can be used to model various sources of uncertainty systematically is presented in the context of reliability analysis of slope stability. New expressions for probabilistic characterization of soil properties incorporate sampling and measurement errors, as well as spatial variability and its reduced variance due to spatial averaging. The stochastic nature of seismic loading is studied by generating a large series of hazard-compatible artificial motions, and by using them in subsequent response analyses. The analyses indicate that in a seismically less active region such as the Korean Peninsular, a moderate variability in soil properties has an effect as large as the characterization of earthquake hazard on the computed risk of slope failure and excessive slope deformations.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.4
• /
• pp.441-453
• /
• 2021

This study seeks to examine the effect of attitude, subjective norm, and perceived behavioral control on the purchase behavior of students enrolled in a private higher education establishment in Tangerang, Indonesia. This is a quantitative study and it employs samples by simple random sampling of 410 university students. The returned and valid questionnaire results totaled 261 samples. Data processing used the SEM method with SmartPLS 3.0 software. The findings of this study reveal that attitude, subjective norm, and perceived behavioral control have a significant effect on purchase intention. Meanwhile, purchase intention has a significant effect on working students' purchase behavior, and halal awareness had a moderating effect of purchase intention on purchase behavior. Purchasing interest has a positive effect on purchasing behavior, and this study proves that halal awareness is able to moderate the effect of purchase intention on purchasing behavior toward halal food products. The higher the awareness of halal products, the greater the relationship between buying interest and buying behavior of halal food. The results of this study also show the importance of paying attention to halal awareness factor in the form of increasing the relationship between buying interest and buying behavior of halal food products.

• Journal of the Korea Management Engineers Society
• /
• v.23 no.4
• /
• pp.73-86
• /
• 2018

Most electric products produced during the manufacturing process are produced after design and mass production under a given control standard. In particular, the development phase should present the criteria for the production process by setting appropriate limits based on the performance being targeted. Even if the standard of performance is set considering the performance of the process, measuring the performance of the product after actual production results will cause nonconformities with the expected results. Among the performance of electrical products, Energy standards represented by energy consumption efficiency continue to be of importance, and are mandatory standards that correspond to national standards in most countries. Therefore, statistical quality control of these standards shall basically have a large number of test equipment for each product, ensure sufficient test time and continuous sampling of product samples. In the end, companies that produce and sell electric appliances are striving to control mass production at a great cost, but this is not acceptable. This study presents basic characteristics of the energy efficiency of electrical products and proposes and conducts a case study on statistical production control methods for performance variation across products under the standards about domestic and international regulations.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.2
• /
• pp.563-570
• /
• 2021

The importance of cooperative financial management is expected to be able to encourage the needs of the community especially towards the supervision of cooperatives and human resources. The study was conducted aiming to determine the effect of human resources, financial attitudes, and coordination on cooperative financial management. Research with quantitative methods. The study was conducted with multiple regression methods, while the sampling technique was based on a random sample of samples with the data collection method using a survey method in the form of a questionnaire that was measured with a Likert scale. The method of determining the research sample is done by calculating the Slovin formula, determining the research sample of 166 cooperatives in Buleleng Regency, Bali Province. The results of the research prove that partial human resources have a significant positive effect on cooperative financial management, financial attitude variables have a significant positive effect on cooperative financial management and coordination variables have a significant positive effect on cooperative financial management. The results of this study can be stated that the better the financial management of cooperatives, better will be the impact on cooperative growth so that the need for more competent resources in cooperative management.

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.6
• /
• pp.81-93
• /
• 2022

This research aims to construct a model that combines brand love, brand loyalty, brand image, customer satisfaction, and service quality into a single model, with brand loyalty coming foremost, and test its predictive power in building brand love. Moreover, mediating effect of customer satisfaction and brand image on service quality and brand loyalty affecting brand love was checked. The study adopted an alliance context using an existing SERVQUAL model, a bi-dimensional aspect of brand loyalty and parasocial love relationship theory, to identify brand love as a construct or outcome in the consumer-brand relationship. Using a quantitative approach, survey questionnaires were distributed by unrestricted random sampling among 507 Saudia Airlines customers. Data were analyzed using structural equation modeling with SmartPLS 3.0. The results revealed significant relationships between four variables except for the brand image. It was found that brand image had no mediating effect on the relationship between service quality and customer loyalty. The outcome of this study highlights the importance of airline alliances for service quality, which leads to positive customer satisfaction, brand image, and customer loyalty. A unique contribution of the study is that it revealed that brand loyalty is also an antecedent of brand love.

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.4
• /
• pp.153-162
• /
• 2022

Nostalgia advertising is one of the key and effective tools for marketers to capture the attention of consumers. Prior studies have identified two types of nostalgia, personal and historical. The aim of this research is to learn more about historical nostalgia and its influence on consumer brand purchase intentions. A convenience sampling technique was used to obtain a sample of 182 respondents via Google forms. The study then used partial least square structural equation modeling. In PLS-SEM, we applied a measurement model to obtain the results related to reliability, validity, and model fitness. Once the desired results are achieved, the study proceeded to the structural model where results related to hypotheses were obtained. The study's findings corroborated the literature, revealing that historical nostalgia advertisements have a significant impact on consumers' cognition and emotions, leading to an effect on attitudes. The serial process has the effect of influencing consumer buying intentions. Hence, the importance of nostalgia advertising proposed in the study was established through empirical evidence. Policymakers, organizations, and advertising agencies in Pakistan are recommended to implement nostalgia advertising techniques based on the findings and are encouraged to do so for immediate benefits.

• The Journal of Information Systems
• /
• v.32 no.3
• /
• pp.133-150
• /
• 2023

Purpose This study aims to develop classification models using a decision tree algorithm to identify core keywords and rules influencing online consumer review evaluations for the robot vacuum cleaner on Amazon.com. The difference from previous studies is that we analyze core keywords that affect the evaluation results by dividing the subjects that evaluate online consumer reviews into self-evaluation (star ratings) and peer evaluation (helpfulness votes). We investigate whether the core keywords influencing star ratings and helpfulness votes vary across different products and whether there is a similarity in the core keywords related to star ratings or helpfulness votes across all products. Design/methodology/approach We used random under-sampling to balance the dataset. We progressively removed independent variables based on decreasing importance through backwards elimination to evaluate the classification model's performance. As a result, we identified classification models that best predict star ratings and helpfulness votes for each product's online consumer reviews. Findings We have identified that the core keywords influencing self-evaluation and peer evaluation vary across different products, and even for the same model or features, the core keywords are not consistent. Therefore, companies' producers and marketing managers need to analyze the core keywords of each product to highlight the advantages and prepare customized strategies that compensate for the shortcomings.

• Fourth Industrial Review
• /
• v.4 no.1
• /
• pp.1-9
• /
• 2024

Purpose: Education is the part of a fundamental human right across the world. In recent years, the trend of virtual education has increased tremendously. The paper aims to find the impact of adoption, accessibility, interactions, knowledge, and satisfaction on the success of transformation towards virtual education. Research design, data and methodology: Primary data has been gathered through the use of responses from students taking admission in virtual higher education to standardized questionnaires. Of the 250, only 122 were considered complete and have been used in further studies. Convinced random sampling method has been used. The results were evaluated using the Likert Five-Point Scale. For applying these statistical tools software SmartPLS and SPSS 19 have been used. The fitness of the model has been re-checked through an Artificial Neural Network (ANN). Result: Results derived that adoption, accessibility, and interactions have a significant impact on knowledge, knowledge influences satisfaction level and satisfaction have a meaningful impact on the success of transformation towards virtual education. Conclusion: It can be concluded that virtual education has the potential to change the future of the education system and its potential in India. The highest importance is due to satisfaction (100%), adoption (98.7%), knowledge (91.4%), accessibility (62%), and interaction (29.2%).